348 results on '"Verschuren WMM"'
Search Results
2. Life expectancy associated with different ages at diagnosis of type 2 diabetes in high-income countries: 23 million person-years of observation
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Kaptoge, S, Seshasai, SRK, Sun, L, Walker, M, Bolton, T, Spackman, S, Ataklte, F, Willeit, P, Bell, S, Burgess, S, Pennells, L, Altay, S, Assmann, G, Ben-Shlomo, Y, Best, LG, Björkelund, C, Blazer, DG, Brenner, H, Brunner, EJ, Dagenais, GR, Cooper, JA, Cooper, C, Crespo, CJ, Cushman, M, D'Agostino, RB, Sr, Daimon, M, Daniels, LB, Danker, R, Davidson, KW, de Jongh, RT, Donfrancesco, C, Ducimetiere, P, Elders, PJM, Engström, G, Ford, I, Gallacher, I, Bakker, SJL, Goldbourt, U, de La Cámara, G, Grimsgaard, S, Gudnason, V, Hansson, PO, Imano, H, Jukema, JW, Kabrhel, C, Kauhanen, J, Kavousi, M, Kiechl, S, Knuiman, MW, Kromhout, D, Krumholz, HM, Kuller, LH, Laatikainen, T, Lowler, DA, Meyer, HE, Mukamal, K, Nietert, PJ, Ninomiya, T, Nitsch, D, Nordestgaard, BG, Palmieri, L, Price, JF, Ridker, PM, Sun, Q, Rosengren, A, Roussel, R, Sakurai, M, Salomaa, V, Schöttker, B, Shaw, JE, Strandberg, TE, Sundström, J, Tolonen, H, Tverdal, A, Verschuren, WMM, Völzke, H, Wagenknecht, L, Wallace, RB, Wannamethee, SG, Wareham, NJ, Wassertheil-Smoller, S, Yamagishi, K, Yeap, BB, Harrison, S, Inouye, M, Griffin, S, Butterworth, AS, Wood, AM, Thompson, SG, Sattar, N, Danesh, J, Di Angelantonio, E, Tipping, RW, Russell, S, Johansen, M, Bancks, MP, Mongraw-Chaffin, M, Magliano, D, Barr, ELM, Zimmet, PZ, Whincup, PH, Willeit, J, Leitner, C, Lawlor, DA, Elwood, P, Sutherland, SE, Hunt, KJ, Selmer, RM, Haheim, LL, Ariansen, I, Tybjaer-Hansen, A, Frikkle-Schmidt, R, Langsted, A, Lo Noce, C, Balkau, B, Bonnet, F, Fumeron, F, Pablos, DL, Ferro, CR, Morales, TG, Mclachlan, S, Guralnik, J, Khaw, KT, Holleczek, B, Stocker, H, Nissinen, A, Vartiainen, E, Jousilahti, P, Harald, K, Massaro, JM, Pencina, M, Lyass, A, Susa, S, Oizumi, T, Kayama, T, Chetrit, A, Roth, J, Orenstein, L, Welin, L, Svärdsudd, K, Lissner, L, Hange, D, Mehlig, K, Tilvis, RS, Dennison, E, Westbury, L, Norman, PE, Almeida, OP, Hankey, GJ, Hata, J, Shibata, M, Furuta, Y, Bom, MT, Rutters, F, Muilwijk, M, Kraft, P, Lindstrom, S, Turman, C, Kiyama, M, Kitamura, A, Gerber, Y, Salonen, JT, van Schoor, LN, van Zutphen, EM, Melander, O, Psaty, BM, Blaha, M, de Boer, IH, Kronmal, RA, Grandits, G, Shin, H-C, Albertorio, JR, Gillum, RF, Hu, FB, Humphries, S, Hill- Briggs, F, Vrany, E, Butler, M, Schwartz, JE, Iso, H, Amouyel, P, Arveiler, D, Ferrieres, J, Gansevoort, RT, de Boer, R, Kieneker, L, Trompet, S, Kearney, P, Cantin, B, Després, JP, Lamarche, B, Laughlin, G, McEvoy, L, Aspelund, T, Thorsson, B, Sigurdsson, G, Tilly, M, Ikram, MA, Dorr, M, Schipf, S, Fretts, AM, Umans, JG, Ali, T, Shara, N, Davey-Smith, G, Can, G, Yüksel, H, Özkan, U, Nakagawa, H, Morikawa, Y, Ishizaki, M, Njølstad, I, Wilsgaard, T, Mathiesen, E, Buring, J, Cook, N, Arndt, V, Rothenbacher, D, Manson, J, Tinker, L, Shipley, M, Tabak, AG, Kivimaki, M, Packard, C, Robertson, M, Feskens, E, and Geleijnse, M
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- 2023
- Full Text
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3. Past or Present; Which Exposures Predict Metabolomic Aging Better?:The Doetinchem Cohort Study
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Smit, AP, Herber, GCM, Kuiper, LM, Loef, B, Picavet, HSJ, Verschuren, WMM, Smit, AP, Herber, GCM, Kuiper, LM, Loef, B, Picavet, HSJ, and Verschuren, WMM
- Abstract
People age differently. Differences in aging might be reflected by metabolites, also known as metabolomic aging. Predicting metabolomic aging is of interest in public health research. However, the added value of longitudinal over cross-sectional predictors of metabolomic aging is unknown. We studied exposome-related exposures as potential predictors of metabolomic aging, both cross-sectionally and longitudinally in men and women. We used data from 4 459 participants, aged 36–75 of Round 4 (2003–2008) of the long-running Doetinchem Cohort Study (DCS). Metabolomic age was calculated with the MetaboHealth algorithm. Cross-sectional exposures were demographic, biological, lifestyle, and environmental at Round 4. Longitudinal exposures were based on the average exposure over 15 years (Round 1 [1987–1991] to 4), and trend in these exposure over time. Random Forest was performed to identify model performance and important predictors. Prediction performances were similar for cross-sectional and longitudinal exposures in both men (R2 6.8 and 5.8, respectively) and women (R2 14.8 and 14.4, respectively). Biological and diet exposures were most predictive for metabolomic aging in both men and women. Other important predictors were smoking behavior for men and contraceptive use and menopausal status for women. Taking into account history of exposure levels (longitudinal) had no added value over cross-sectionally measured exposures in predicting metabolomic aging in the current study. However, the prediction performances of both models were rather low. The most important predictors for metabolomic aging were from the biological and lifestyle domain and differed slightly between men and women.
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- 2024
4. Individual mental health patterns and the role of lifestyle among ageing adults over 20 years - the Doetinchem Cohort Study
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Cardiometabolic Health, Circulatory Health, Global Public Health & Bioethics, JC onderzoeksprogramma Cardiovascular Health, Menassa, M, Wesenhagen, Kej, Stronks, K, Franco, O H, Verschuren, Wmm, Picavet, Hsj, Cardiometabolic Health, Circulatory Health, Global Public Health & Bioethics, JC onderzoeksprogramma Cardiovascular Health, Menassa, M, Wesenhagen, Kej, Stronks, K, Franco, O H, Verschuren, Wmm, and Picavet, Hsj
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- 2023
5. Studies of adverse effects of food and nutrition in humans
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Verschuren, WMM
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- 2022
6. Predictive value ofSLCO1B1c.521T>C polymorphism on observed changes in the treatment of 1136 statin-users
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Jansen, ME, primary, Rigter, T, additional, Fleur, TMC, additional, Souverein, PC, additional, Verschuren, WMM, additional, Vijverberg, SJ, additional, Swen, JJ, additional, Rodenburg, W, additional, and Cornel, MC, additional
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- 2022
- Full Text
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7. Mild-to-Moderate Kidney Dysfunction and Cardiovascular Disease: Observational and Mendelian Randomization Analyses
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Gaziano, L, Sun, L, Arnold, M, Bell, S, Cho, K, Kaptoge, SK, Song, RJ, Burgess, S, Posner, DC, Mosconi, K, Cohen, CR, Mason, AM, Bolton, TR, Tao, R, Allara, E, Schubert, P, Chen, L, Staley, JR, Staplin, N, Altay, S, Amiano, P, Arndt, PV, Arnlov, J, Barr, ELM, Bjorkelund, C, Boer, JMA, Brenner, H, Casiglia, E, Chiodini, P, Cooper, JA, Coresh, J, Cushman, M, Dankner, R, Davidson, KW, de Jongh, RT, Donfrancesco, C, Engstrom, G, Freisling, H, de la Camara, AG, Gudnason, V, Hankey, GJ, Hansson, P, Heath, AK, Hoorn, EJ, Imano, H, Jassal, SK, Kaaks, R, Katzke, V, Kauhanen, J, Kiechl, S, Koenig, W, Kronmal, RA, Kyro, C, Lawlor, DA, Ljungberg, B, MacDonald, C, Masala, G, Meisinger, C, Melander, O, Iribas, CM, Ninomiya, T, Nitsch, D, Nordestgaard, BG, OnlandMoret, C, Palmieri, L, Petrova, D, Garcia, JRQ, Rosengren, A, Sacerdote, C, Sakurai, M, Santiuste, C, Schulze, MB, Sieri, S, Sundstrom, J, Tikhonoff, V, Tjonneland, A, Tong, T, Tumino, R, Tzoulaki, I, van der Schouw, YT, Verschuren, WMM, Volzke, H, Wallace, RB, Wannamethee, SG, Weiderpass, E, Willeit, P, Woodward, M, Yamagishi, K, ZamoraRos, R, Akwo, EA, Pyarajan, S, Gagnon, DR, Tsao, PS, Muralidhar, S, Edwards, TL, Damrauer, SM, Joseph, J, Pennells, L, Wilson, PWF, Harrison, S, Gaziano, TA, Inouye, M, Baigent, C, Casas, JP, Langenberg, C, Wareham, N, Riboli, E, Gaziano, JM, Danesh, J, Hung, AM, Butterworth, AS, Wood, AM, Di Angelantonio, E, Gaziano, L, Sun, L, Arnold, M, Bell, S, Cho, K, Kaptoge, SK, Song, RJ, Burgess, S, Posner, DC, Mosconi, K, Cohen, CR, Mason, AM, Bolton, TR, Tao, R, Allara, E, Schubert, P, Chen, L, Staley, JR, Staplin, N, Altay, S, Amiano, P, Arndt, PV, Arnlov, J, Barr, ELM, Bjorkelund, C, Boer, JMA, Brenner, H, Casiglia, E, Chiodini, P, Cooper, JA, Coresh, J, Cushman, M, Dankner, R, Davidson, KW, de Jongh, RT, Donfrancesco, C, Engstrom, G, Freisling, H, de la Camara, AG, Gudnason, V, Hankey, GJ, Hansson, P, Heath, AK, Hoorn, EJ, Imano, H, Jassal, SK, Kaaks, R, Katzke, V, Kauhanen, J, Kiechl, S, Koenig, W, Kronmal, RA, Kyro, C, Lawlor, DA, Ljungberg, B, MacDonald, C, Masala, G, Meisinger, C, Melander, O, Iribas, CM, Ninomiya, T, Nitsch, D, Nordestgaard, BG, OnlandMoret, C, Palmieri, L, Petrova, D, Garcia, JRQ, Rosengren, A, Sacerdote, C, Sakurai, M, Santiuste, C, Schulze, MB, Sieri, S, Sundstrom, J, Tikhonoff, V, Tjonneland, A, Tong, T, Tumino, R, Tzoulaki, I, van der Schouw, YT, Verschuren, WMM, Volzke, H, Wallace, RB, Wannamethee, SG, Weiderpass, E, Willeit, P, Woodward, M, Yamagishi, K, ZamoraRos, R, Akwo, EA, Pyarajan, S, Gagnon, DR, Tsao, PS, Muralidhar, S, Edwards, TL, Damrauer, SM, Joseph, J, Pennells, L, Wilson, PWF, Harrison, S, Gaziano, TA, Inouye, M, Baigent, C, Casas, JP, Langenberg, C, Wareham, N, Riboli, E, Gaziano, JM, Danesh, J, Hung, AM, Butterworth, AS, Wood, AM, and Di Angelantonio, E
- Abstract
BACKGROUND: End-stage renal disease is associated with a high risk of cardiovascular events. It is unknown, however, whether mild-to-moderate kidney dysfunction is causally related to coronary heart disease (CHD) and stroke. METHODS: Observational analyses were conducted using individual-level data from 4 population data sources (Emerging Risk Factors Collaboration, EPIC-CVD [European Prospective Investigation into Cancer and Nutrition-Cardiovascular Disease Study], Million Veteran Program, and UK Biobank), comprising 648 135 participants with no history of cardiovascular disease or diabetes at baseline, yielding 42 858 and 15 693 incident CHD and stroke events, respectively, during 6.8 million person-years of follow-up. Using a genetic risk score of 218 variants for estimated glomerular filtration rate (eGFR), we conducted Mendelian randomization analyses involving 413 718 participants (25 917 CHD and 8622 strokes) in EPIC-CVD, Million Veteran Program, and UK Biobank. RESULTS: There were U-shaped observational associations of creatinine-based eGFR with CHD and stroke, with higher risk in participants with eGFR values <60 or >105 mL·min-1·1.73 m-2, compared with those with eGFR between 60 and 105 mL·min-1·1.73 m-2. Mendelian randomization analyses for CHD showed an association among participants with eGFR <60 mL·min-1·1.73 m-2, with a 14% (95% CI, 3%-27%) higher CHD risk per 5 mL·min-1·1.73 m-2 lower genetically predicted eGFR, but not for those with eGFR >105 mL·min-1·1.73 m-2. Results were not materially different after adjustment for factors associated with the eGFR genetic risk score, such as lipoprotein(a), triglycerides, hemoglobin A1c, and blood pressure. Mendelian randomization results for stroke were nonsignificant but broadly similar to those for CHD. CONCLUSIONS: In people without manifest cardiovascular disease or diabetes, mild-to-moderate kidney dysfunction is causally related to risk of CHD, highlighting the potential value of preventive approaches th
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- 2022
8. 2021 ESC Guidelines on cardiovascular disease prevention in clinical practice
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Visseren, F, Mach, F, Smulders, Y, Carballo, D, Koskinas, K, Bäck, M, Benetos, A, Biffi, A, Boavida, J, Capodanno, D, Cosyns, B, Crawford, C, Davos, C, Desormais, I, Di Angelantonio, E, Franco, O, Halvorsen, S, Hobbs, F, Hollander, M, Jankowska, E, Michal, M, Sacco, S, Sattar, N, Tokgozoglu, L, Tonstad, S, Tsioufis, K, van Dis, I, van Gelder, I, Wanner, C, Williams, B, De Backer, G, Regitz-Zagrosek, V, Aamodt, A, Abdelhamid, M, Aboyans, V, Albus, C, Asteggiano, R, Borger, M, Brotons, C, Celutkiene, J, Cifkova, R, Cikes, M, Cosentino, F, Dagres, N, De Backer, T, De Bacquer, D, Delgado, V, Den Ruijter, H, Dendale, P, Drexel, H, Falk, V, Fauchier, L, Ference, B, Ferrières, J, Ferrini, M, Fisher, M, Fliser, D, Fras, Z, Gaita, D, Giampaoli, S, Gielen, S, Graham, I, Jennings, C, Jorgensen, T, Kautzky-Willer, A, Kavousi, M, Koenig, W, Konradi, A, Kotecha, D, Landmesser, U, Lettino, M, Lewis, B, Linhart, A, Lochen, M, Makrilakis, K, Mancia, G, Marques-Vidal, P, Mcevoy, J, Mcgreavy, P, Merkely, B, Neubeck, L, Nielsen, J, Perk, J, Petersen, S, Petronio, A, Piepoli, M, Pogosova, N, Prescott, E, Ray, K, Reiner, Z, Richter, D, Rydén, L, Shlyakhto, E, Sitges, M, Sousa-Uva, M, Sudano, I, Tiberi, M, Touyz, R, Ungar, A, Verschuren, W, Wiklund, O, Wood, D, Zamorano, J, Visseren, FLJ, Smulders, YM, Koskinas, KC, Boavida, JM, Davos, CH, Franco, OH, Hobbs, FDR, Jankowska, EA, Tsioufis, KP, van Gelder, IC, Aamodt, AH, Borger, MA, Ference, BA, Lewis, BS, Lochen, ML, McEvoy, JW, McGreavy, P, Nielsen, JC, Petersen, SE, Petronio, AS, Pogosova, NG, Prescott, EIB, Ray, KK, Richter, DJ, Touyz, RM, Verschuren, WMM, Zamorano, JL, Visseren, F, Mach, F, Smulders, Y, Carballo, D, Koskinas, K, Bäck, M, Benetos, A, Biffi, A, Boavida, J, Capodanno, D, Cosyns, B, Crawford, C, Davos, C, Desormais, I, Di Angelantonio, E, Franco, O, Halvorsen, S, Hobbs, F, Hollander, M, Jankowska, E, Michal, M, Sacco, S, Sattar, N, Tokgozoglu, L, Tonstad, S, Tsioufis, K, van Dis, I, van Gelder, I, Wanner, C, Williams, B, De Backer, G, Regitz-Zagrosek, V, Aamodt, A, Abdelhamid, M, Aboyans, V, Albus, C, Asteggiano, R, Borger, M, Brotons, C, Celutkiene, J, Cifkova, R, Cikes, M, Cosentino, F, Dagres, N, De Backer, T, De Bacquer, D, Delgado, V, Den Ruijter, H, Dendale, P, Drexel, H, Falk, V, Fauchier, L, Ference, B, Ferrières, J, Ferrini, M, Fisher, M, Fliser, D, Fras, Z, Gaita, D, Giampaoli, S, Gielen, S, Graham, I, Jennings, C, Jorgensen, T, Kautzky-Willer, A, Kavousi, M, Koenig, W, Konradi, A, Kotecha, D, Landmesser, U, Lettino, M, Lewis, B, Linhart, A, Lochen, M, Makrilakis, K, Mancia, G, Marques-Vidal, P, Mcevoy, J, Mcgreavy, P, Merkely, B, Neubeck, L, Nielsen, J, Perk, J, Petersen, S, Petronio, A, Piepoli, M, Pogosova, N, Prescott, E, Ray, K, Reiner, Z, Richter, D, Rydén, L, Shlyakhto, E, Sitges, M, Sousa-Uva, M, Sudano, I, Tiberi, M, Touyz, R, Ungar, A, Verschuren, W, Wiklund, O, Wood, D, Zamorano, J, Visseren, FLJ, Smulders, YM, Koskinas, KC, Boavida, JM, Davos, CH, Franco, OH, Hobbs, FDR, Jankowska, EA, Tsioufis, KP, van Gelder, IC, Aamodt, AH, Borger, MA, Ference, BA, Lewis, BS, Lochen, ML, McEvoy, JW, McGreavy, P, Nielsen, JC, Petersen, SE, Petronio, AS, Pogosova, NG, Prescott, EIB, Ray, KK, Richter, DJ, Touyz, RM, Verschuren, WMM, and Zamorano, JL
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- 2022
9. Using random forest to identify longitudinal predictors of health in a 30 year cohort study
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Loef, B, Wong, A, Jansen, NAH, Strak, M, Hoekstra, J, Picavet, HSJ, Boshuizen, HC, Verschuren, WMM, and Herber, GCM
- Abstract
Due to the wealth of exposome data from longitudinal cohort studies that is currently available, the need for methods to adequately analyze these data is growing. We propose an approach in which machine learning is used to identify longitudinal exposome-related predictors of health, and illustrate its potential through an application. Our application involves studying the relation between exposome and self-perceived health based on the 30-year running Doetinchem Cohort Study. Random Forest (RF) was used to identify the strongest predictors due to its favorable prediction performance in prior research. The relation between predictors and outcome was visualized with partial dependence and accumulated local effects plots. To facilitate interpretation, exposures were summarized by expressing them as the average exposure and average trend over time. The RF model’s ability to discriminate poor from good self-perceived health was acceptable (Area-Under-the-Curve = 0.707). Nine exposures from different exposome-related domains were largely responsible for the model’s performance, while 87 exposures seemed to contribute little to the performance. Our approach demonstrates that ML can be interpreted more than widely believed, and can be applied to identify important longitudinal predictors of health over the life course in studies with repeated measures of exposure. The approach is context-independent and broadly applicable.
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- 2021
10. Relation of inflammatory marker trajectories with frailty and aging in a 20-year longitudinal study
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José A. Ferreira, Picavet Hsj, Anne-Marie Buisman, Leonard Daniël Samson, Boots Amh, Verschuren Wmm, and Peter M. Engelfriet
- Subjects
Oncology ,Longitudinal study ,medicine.medical_specialty ,business.industry ,Inflammation ,Overweight ,Health outcomes ,Physical strength ,Inflammatory marker ,Internal medicine ,medicine ,Platelet activation ,medicine.symptom ,business ,Lung function - Abstract
Little is known about the development of low-grade inflammation with age and its relationship with the onset of frailty. In this exploratory study, we investigated 18 inflammatory markers measured in blood of 144 individuals aged 65-75 years at study endpoint, collected over 20 years at five-year intervals. IFNγ-induced markers and platelet activation markers changed in synchrony over time. Chronically elevated levels of IL-6-related markers, such as CRP and sIL-6R, were associated with frailty and becoming frail over time, poorer lung function, or less physical strength. Overweight was a possible driver of these associations. More and stronger associations were detected in women, such as between increasing sCD14 levels and frailty, indicating possible monocyte overactivation. Multivariate prediction of frailty showed low accuracy but confirmed the main results. In summary, we documented 20-year temporal changes of inflammatory markers in an aging population, and related these to clinically relevant health outcomes.
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- 2021
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11. Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants
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Zhou, B, Carrillo-Larco, Rm, Danaei, G, Riley, Lm, Paciorek, Cj, Stevens, Ga, Gregg, Ew, Bennett, Je, Solomon, B, Singleton, Rk, Sophiea, Mk, Iurilli, Mlc, Lhoste, Vpf, Cowan, Mj, Savin, S, Woodward, M, Balanova, Y, Cifkova, R, Damasceno, A, Elliott, P, Farzadfar, F, He, J, Ikeda, N, Kengne, Ap, Khang, Yh, Kim, Hc, Laxmaiah, A, Lin, Hh, Maira, Pm, Miranda, Jj, Neuhauser, H, Sundstrom, J, Varghese, C, Widyahening, Is, Zdrojewski, T, Ezzati, M, Abarca-Gomez, L, Abdeen, Za, Rahim, Hfa, Abu-Rmeileh, Nm, Acosta-Cazares, B, Adams, Rj, Aekplakorn, W, Afsana, K, Afzal, S, Agdeppa, Ia, Aghazadeh-Attari, J, Aguilar-Salinas, Ca, Agyemang, C, Ahmad, Na, Ahmadi, A, Ahmadi, N, Ahmadizar, F, Ahmed, Sh, Ahrens, W, Ajlouni, K, Al-Raddadi, R, Alarouj, M, Albuhairan, F, Aldhukair, S, Ali, Mm, Alkandari, A, Alkerwi, A, Allin, K, Aly, E, Amarapurkar, Dn, Amougou, N, Amouyel, P, Andersen, Lb, Anderssen, Sa, Anjana, Rm, Ansari-Moghaddam, A, Ansong, D, Aounallah-Skhiri, H, Araujo, J, Ariansen, I, Aris, T, Arku, Re, Arlappa, N, Aryal, Kk, Aspelund, T, Assah, Fk, Assuncao, Mcf, Auvinen, J, Avdicova, M, Azevedo, A, Azimi-Nezhad, M, Azizi, F, Azmin, M, Babu, Bv, Bahijri, S, Balakrishna, N, Bamoshmoosh, M, Banach, M, Banadinovic, M, Bandosz, P, Banegas, Jr, Baran, J, Barbagallo, Cm, Barcelo, A, Barkat, A, Barreto, M, Barros, Ajd, Barros, Mvg, Bartosiewicz, A, Basit, A, Bastos, Jld, Bata, I, Batieha, Am, Batyrbek, A, Baur, La, Beaglehole, R, Belavendra, A, Ben Romdhane, H, Benet, M, Benson, Ls, Berkinbayev, S, Bernabe-Ortiz, A, Bettiol, H, Bezerra, J, Bhagyalaxmi, A, Bhargava, Sk, Bia, D, Biasch, K, Lele, Ecb, Bikbov, Mm, Bista, B, Bjerregaard, P, Bjertness, E, Bjertness, Mb, Bjorkelund, C, Bloch, Kv, Blokstra, A, Bo, S, Bobak, M, Boeing, H, Boggia, Jg, Boissonnet, Cp, Bojesen, Se, Bongard, V, Bonilla-Vargas, A, Bopp, M, Borghs, H, Bovet, P, Boyer, Cb, Braeckman, L, Brajkovich, I, Branca, F, Breckenkamp, J, Brenner, H, Brewster, Lm, Briceno, Y, Brito, M, Bruno, G, Bueno-de-Mesquita, Hb, Bueno, G, Bugge, A, Burns, C, Bursztyn, M, de Leon, Ac, Cacciottolo, J, Cameron, C, Can, G, Candido, Apc, Capanzana, Mv, Capkova, N, Capuano, E, Capuano, V, Cardoso, Vc, Carlsson, Ac, Carvalho, J, Casanueva, Ff, Censi, L, Cervantes-Loaiza, M, Chadjigeorgiou, Ca, Chamukuttan, S, Chan, Aw, Chan, Q, Chaturvedi, Hk, Chaturvedi, N, Chee, Ml, Chen, Cj, Chen, Ff, Chen, Hs, Chen, Sh, Chen, Zm, Cheng, Cy, Cheraghian, B, Dekkaki, Ic, Chetrit, A, Chien, Kl, Chiolero, A, Chiou, St, Chirita-Emandi, A, Chirlaque, Md, Cho, B, Christensen, K, Christofaro, Dg, Chudek, J, Cinteza, E, Claessens, F, Clarke, J, Clays, E, Cohen, E, Concin, H, Cooper, C, Coppinger, Tc, Costanzo, S, Cottel, D, Cowell, C, Craig, Cl, Crampin, Ac, Crujeiras, Ab, Cruz, Jj, Csilla, S, Cui, Lf, Cureau, Fv, Cuschieri, S, D'Arrigo, G, D'Orsi, E, Dallongeville, J, Dankner, R, Dantoft, Tm, Dauchet, L, Davletov, K, De Backer, G, De Bacquer, D, De Curtis, A, de Gaetano, G, De Henauw, S, de Oliveira, Pd, De Ridder, D, De Smedt, D, Deepa, M, Deev, Ad, Degennaro, V, Delisle, H, Demarest, S, Dennison, E, Deschamps, V, Dhimal, M, Di Castelnuovo, Af, Dias-da-Costa, Js, Diaz, A, Dickerson, Tt, Dika, Z, Djalalinia, S, Htp, Do, Dobson, Aj, Donfrancesco, C, Donoso, Sp, Doring, A, Dorobantu, M, Dorr, M, Doua, K, Dragano, N, Drygas, W, Duante, Ca, Duboz, P, Duda, Rb, Dulskiene, V, Dushpanova, A, Dzakula, A, Dzerve, V, Dziankowska-Zaborszczyk, E, Eddie, R, Eftekhar, E, Eggertsen, R, Eghtesad, S, Eiben, G, Ekelund, U, El-Khateeb, M, El Ati, J, Eldemire-Shearer, D, Eliasen, M, Elosua, R, Erasmus, Rt, Erbel, R, Erem, C, Eriksen, L, Eriksson, Jg, Escobedo-de la Pena, J, Eslami, S, Esmaeili, A, Evans, A, Faeh, D, Fakhretdinova, Aa, Fall, Ch, Faramarzi, E, Farjam, M, Fattahi, Mr, Fawwad, A, Felix-Redondo, Fj, Felix, Sb, Ferguson, Ts, Fernandes, Ra, Fernandez-Berges, D, Ferrante, D, Ferrao, T, Ferrari, M, Ferrario, Mm, Ferreccio, C, Ferreira, Hs, Ferrer, E, Ferrieres, J, Figueiro, Th, Fink, G, Fischer, K, Foo, Lh, Forsner, M, Fouad, Hm, 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Montpellier (CIHEAM-IAMM), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Interactions Gène-Environnement en Physiopathologie Cardio-Vasculaire (IGE-PCV), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Clinicum, Research Programs Unit, Johan Eriksson / Principal Investigator, Department of General Practice and Primary Health Care, University of Helsinki, HUS Helsinki and Uusimaa Hospital District, Department of Public Health, Tampere University, Clinical Medicine, Department of Clinical Chemistry, Eye Centre, Wellcome Trust, Epidemiology, Radiology & Nuclear Medicine, Éco-Anthropologie (EA), Cohortes épidémiologiques en population (CONSTANCES), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Université Paris Cité (UPCité), Université Paris Cité (UPCité), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Epidemiology and Data Science, APH - Aging & Later Life, APH - Societal Participation & Health, Public and occupational health, APH - Health Behaviors & Chronic Diseases, VU University medical center, APH - Personalized Medicine, Psychiatry, APH - Mental Health, Bin Zhou, Rodrigo M Carrillo-Larco, Goodarz Danaei, Leanne M Riley, Christopher J Paciorek, Gretchen A Stevens, Edward W Gregg, James E Bennett, Bethlehem Solomon, Rosie K Singleton, Marisa K Sophiea, Maria Lc Iurilli, Victor Pf Lhoste, Melanie J Cowan, Stefan Savin, Mark Woodward, Yulia Balanova, Renata Cifkova, Albertino Damasceno, Paul Elliott, Farshad Farzadfar, Jiang He, Nayu Ikeda, Andre P Kengne, Young-Ho Khang, Hyeon Chang Kim, Avula Laxmaiah, Hsien-Ho Lin, Paula Margozzini Maira, J Jaime Miranda, Hannelore Neuhauser, Johan Sundström, Cherian Varghese, Indah S Widyahening, Tomasz Zdrojewski, Leandra Abarca-Gómez, Ziad A Abdeen, Hanan F Abdul Rahim, Niveen M Abu-Rmeileh, Benjamin Acosta-Cazares, Robert J Adams, Wichai Aekplakorn, Kaosar Afsana, Shoaib Afzal, Imelda A 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Burns, Michael Bursztyn, Antonio Cabrera de León, Joseph Cacciottolo, Christine Cameron, Günay Can, Ana Paula C Cândido, Mario V Capanzana, Naděžda Čapková, Eduardo Capuano, Vincenzo Capuano, Viviane C Cardoso, Axel C Carlsson, Joana Carvalho, Felipe F Casanueva, Laura Censi, Marvin Cervantes-Loaiza, Charalambos A Chadjigeorgiou, Snehalatha Chamukuttan, Angelique W Chan, Queenie Chan, Himanshu K Chaturvedi, Nish Chaturvedi, Miao Li Chee, Chien-Jen Chen, Fangfang Chen, Huashuai Chen, Shuohua Chen, Zhengming Chen, Ching-Yu Cheng, Bahman Cheraghian, Imane Cherkaoui Dekkaki, Angela Chetrit, Kuo-Liong Chien, Arnaud Chiolero, Shu-Ti Chiou, Adela Chirita-Emandi, María-Dolores Chirlaque, Belong Cho, Kaare Christensen, Diego G Christofaro, Jerzy Chudek, Eliza Cinteza, Frank Claessens, Janine Clarke, Els Clays, Emmanuel Cohen, Hans Concin, Cyrus Cooper, Tara C Coppinger, Simona Costanzo, Dominique Cottel, Chris Cowell, Cora L Craig, Amelia C Crampin, Ana B Crujeiras, Juan J Cruz, Semánová 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Andre L Guimaraes, Martin C Gulliford, Johanna Gunnlaugsdottir, Marc J Gunter, Prakash C Gupta, Rajeev Gupta, Oye Gureje, Beata Gurzkowska, Laura Gutierrez, Felix Gutzwiller, Seongjun Ha, Farzad Hadaegh, Rosa Haghshenas, Hamid Hakimi, Jytte Halkjær, Ian R Hambleton, Behrooz Hamzeh, Dominique Hange, Abu Am Hanif, Sari Hantunen, Jie Hao, Carla Menêses Hardman, Rachakulla Hari Kumar, Seyed Mohammad Hashemi-Shahri, Jun Hata, Teresa Haugsgjerd, Alison J Hayes, Yuna He, Margit Heier, Marleen Elisabeth Hendriks, Rafael Dos Santos Henrique, Ana Henriques, Leticia Hernandez Cadena, Herqutanto, Sauli Herrala, Ramin Heshmat, Allan G Hill, Sai Yin Ho, Suzanne C Ho, Michael Hobbs, Michelle Holdsworth, Reza Homayounfar, Gonul Horasan Dinc, Andrea Rvr Horimoto, Claudia M Hormiga, Bernardo L Horta, Leila Houti, Christina Howitt, Thein Thein Htay, Aung Soe Htet, Maung Maung Than Htike, Yonghua Hu, José María Huerta, Ilpo Tapani Huhtaniemi, Laetitia Huiart, Martijn Huisman, Abdullatif S Husseini, Inge Huybrechts, Nahla Hwalla, Licia Iacoviello, Anna G Iannone, Mohsen M Ibrahim, Norazizah Ibrahim Wong, M Arfan Ikram, Violeta Iotova, Vilma E Irazola, Takafumi Ishida, Godsent C Isiguzo, Muhammad Islam, Sheikh Mohammed Shariful Islam, Masanori Iwasaki, Rod T Jackson, Jeremy M Jacobs, Hashem Y Jaddou, Tazeen Jafar, Kenneth James, Konrad Jamrozik, Imre Janszky, Edward Janus, Marjo-Riitta Jarvelin, Grazyna Jasienska, Ana Jelaković, Bojan Jelaković, Garry Jennings, Anjani Kumar Jha, Chao Qiang Jiang, Ramon O Jimenez, Karl-Heinz Jöckel, Michel Joffres, Mattias Johansson, Jari J Jokelainen, Jost B Jonas, Torben Jørgensen, Pradeep Joshi, Farahnaz Joukar, Jacek Jóżwiak, Anne Juolevi, Gregor Jurak, Vesna Jureša, Rudolf Kaaks, Anthony Kafatos, Eero O Kajantie, Zhanna Kalmatayeva, Natasa Kalpourtzi, Ofra Kalter-Leibovici, Freja B Kampmann, Srinivasan Kannan, Eva Karaglani, Line L Kårhus, Khem B Karki, Marzieh Katibeh, Joanne Katz, Jussi Kauhanen, Prabhdeep Kaur, Maryam Kavousi, Gyulli M Kazakbaeva, Ulrich Keil, Lital Keinan Boker, Sirkka Keinänen-Kiukaanniemi, Roya Kelishadi, Han Cg Kemper, Maryam Keramati, Alina Kerimkulova, Mathilde Kersting, Timothy Key, Yousef Saleh Khader, Davood Khalili, Kay-Tee Khaw, Bahareh Kheiri, Motahareh Kheradmand, Alireza Khosravi, Ursula Kiechl-Kohlendorfer, Stefan Kiechl, Japhet Killewo, Dong Wook Kim, Jeongseon Kim, Heidi Klakk, Magdalena Klimek, Jurate Klumbiene, Michael Knoflach, Elin Kolle, Patrick Kolsteren, Jukka P Kontto, Raija Korpelainen, Paul Korrovits, Jelena Kos, Seppo Koskinen, Katsuyasu Kouda, Sudhir Kowlessur, Slawomir Koziel, Jana Kratenova, Vilma Kriaucioniene, Peter Lund Kristensen, Steiner Krokstad, Daan Kromhout, Herculina S Kruger, Ruzena Kubinova, Renata Kuciene, Urho M Kujala, Zbigniew Kulaga, R Krishna Kumar, Pawel Kurjata, Yadlapalli S Kusuma, Vladimir Kutsenko, Kari Kuulasmaa, Catherine Kyobutungi, Tiina Laatikainen, Carl Lachat, Youcef Laid, Tai Hing Lam, Orlando Landrove, Vera Lanska, Georg Lappas, Bagher Larijani, Tint Swe Latt, Gwenaëlle Le Coroller, Khanh Le Nguyen Bao, Tuyen D Le, Jeannette Lee, Jeonghee Lee, Nils Lehmann, Terho Lehtimäki, Daniel Lemogoum, Naomi S Levitt, Yanping Li, Christa L Lilly, Wei-Yen Lim, M Fernanda Lima-Costa, Xu Lin, Yi-Ting Lin, Lars Lind, Vijaya Lingam, Allan Linneberg, Lauren Lissner, Mieczyslaw Litwin, Wei-Cheng Lo, Helle-Mai Loit, Esther Lopez-Garcia, Tania Lopez, Paulo A Lotufo, José Eugenio Lozano, Iva Lukačević Lovrenčić, Janice L Lukrafka, Dalia Luksiene, Annamari Lundqvist, Robert Lundqvist, Nuno Lunet, Michala Lustigová, Edyta Luszczki, Guansheng Ma, Jun Ma, George Ll Machado-Coelho, Aristides M Machado-Rodrigues, Enguerran Macia, Luisa M Macieira, Ahmed A Madar, Stefania Maggi, Dianna J Magliano, Emmanuella Magriplis, Gowri Mahasampath, Bernard Maire, Marjeta Majer, Marcia Makdisse, Fatemeh Malekzadeh, Reza Malekzadeh, Rahul Malhotra, Kodavanti Mallikharjuna Rao, Sofia K Malyutina, Lynell V Maniego, Yannis Manios, Jim I Mann, Fariborz Mansour-Ghanaei, Enzo Manzato, Anie Marcil, Staffan B Mårild, Mihalea Marinović Glavić, Pedro Marques-Vidal, Larissa Pruner Marques, Jaume Marrugat, Reynaldo Martorell, Luis P Mascarenhas, Marija Matasin, Ellisiv B Mathiesen, Prashant Mathur, Alicia Matijasevich, Piotr Matlosz, Tandi E Matsha, Christina Mavrogianni, Jean Claude N Mbanya, Anselmo J Mc Donald Posso, Shelly R McFarlane, Stephen T McGarvey, Stela McLachlan, Rachael M McLean, Scott B McLean, Breige A McNulty, Sounnia Mediene Benchekor, Jurate Medzioniene, Parinaz Mehdipour, Kirsten Mehlig, Amir Houshang Mehrparvar, Aline Meirhaeghe, Christa Meisinger, Carlos Mendoza Montano, Ana Maria B Menezes, Geetha R Menon, Alibek Mereke, Indrapal I Meshram, Andres Metspalu, Haakon E Meyer, Jie Mi, Nathalie Michels, Kairit Mikkel, Karolina Milkowska, Jody C Miller, Cláudia S Minderico, G K Mini, Mohammad Reza Mirjalili, Erkin Mirrakhimov, Marjeta Mišigoj-Duraković, Pietro A Modesti, Sahar Saeedi Moghaddam, Bahram Mohajer, Mostafa K Mohamed, Shukri F Mohamed, Kazem Mohammad, Mohammad Reza Mohammadi, Zahra Mohammadi, Noushin Mohammadifard, Reza Mohammadpourhodki, Viswanathan Mohan, Salim Mohanna, Muhammad Fadhli Mohd Yusoff, Iraj Mohebbi, Farnam Mohebi, Marie Moitry, Line T Møllehave, Dénes Molnár, Amirabbas Momenan, Charles K Mondo, Eric Monterrubio-Flores, Kotsedi Daniel K Monyeki, Jin Soo Moon, Mahmood Moosazadeh, Leila B Moreira, Alain Morejon, Luis A Moreno, Karen Morgan, George Moschonis, Malgorzata Mossakowska, Aya Mostafa, Seyed-Ali Mostafavi, Jorge Mota, Mohammad Esmaeel Motlagh, Jorge Motta, Marcos André Moura-Dos-Santos, Malay K Mridha, Kelias P Msyamboza, Thet Thet Mu, Alfa J Muhihi, Maria L Muiesan, Martina Müller-Nurasyid, Neil Murphy, Jaakko Mursu, Kamarul Imran Musa, Sanja Musić Milanović, Vera Musil, Norlaila Mustafa, Iraj Nabipour, Shohreh Naderimagham, Gabriele Nagel, Balkish M Naidu, Farid Najafi, Harunobu Nakamura, Jana Námešná, Ei Ei K Nang, Vinay B Nangia, Sameer Narake, Ndeye Coumba Ndiaye, 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G., Keramati, Maryam, Kerimkulova, Alina, Kersting, Mathilde, Key, Timothy, Khader, Yousef Saleh, Khalili, Davood, Khaw, Kay-Tee, Kheiri, Bahareh, Kheradmand, Motahareh, Khosravi, Alireza, Kiechl-Kohlendorfer, Ursula, Kiechl, Stefan, Killewo, Japhet, Kim, Dong Wook, Kim, Jeongseon, Klakk, Heidi, Klimek, Magdalena, Klumbiene, Jurate, Knoflach, Michael, Kolle, Elin, Kolsteren, Patrick, Kontto, Jukka P., Korpelainen, Raija, Korrovits, Paul, Kos, Jelena, Koskinen, Seppo, Kouda, Katsuyasu, Kowlessur, Sudhir, Koziel, Slawomir, Kratenova, Jana, Kriaucioniene, Vilma, Kristensen, Peter Lund, Krokstad, Steiner, Kromhout, Daan, Kruger, Herculina S., Kubinova, Ruzena, Kuciene, Renata, Kujala, Urho M., Kulaga, Zbigniew, Kumar, R. Krishna, Kurjata, Pawel, Kusuma, Yadlapalli S., Kutsenko, Vladimir, Kuulasmaa, Kari, Kyobutungi, Catherine, Laatikainen, Tiina, Lachat, Carl, Laid, Youcef, Lam, Tai Hing, Landrove, Orlando, Lanska, Vera, Lappas, Georg, Larijani, Bagher, Latt, Tint Swe, Le Coroller, Gwenaelle, Khanh Le Nguyen Bao, Le, Tuyen D., Lee, Jeannette, Lee, Jeonghee, Lehmann, Nils, Lehtimaki, Terho, Lemogoum, Daniel, Levitt, Naomi S., Li, Yanping, Lilly, Christa L., Lim, Wei-Yen, Lima-Costa, M. Fernanda, Lin, Xu, Lin, Yi-Ting, Lind, Lars, Lingam, Vijaya, Linneberg, Allan, Lissner, Lauren, Litwin, Mieczyslaw, Lo, Wei-Cheng, Loit, Helle-Mai, Lopez-Garcia, Esther, Lopez, Tania, Lotufo, Paulo A., Lozano, Jose Eugenio, Lovrencic, Iva Lukacevic, Lukrafka, Janice L., Luksiene, Dalia, Lundqvist, Annamari, Lundqvist, Robert, Lunet, Nuno, Lustigova, Michala, Luszczki, Edyta, Ma, Guansheng, Ma, Jun, Machado-Coelho, George L. L., Machado-Rodrigues, Aristides M., Macia, Enguerran, Macieira, Luisa M., Madar, Ahmed A., Maggi, Stefania, Magliano, Dianna J., Magriplis, Emmanuella, Mahasampath, Gowri, Maire, Bernard, Majer, Marjeta, Makdisse, Marcia, Malekzadeh, Fatemeh, Malekzadeh, Reza, Malhotra, Rahul, Mallikharjuna, Kodavanti, Malyutina, Sofia K., Maniego, Lynell V., Manios, Yannis, Mann, Jim I., Mansour-Ghanaei, Fariborz, Manzato, Enzo, Marcil, Anie, Margozzini, Paula, Marild, Staffan B., Glavic, Mihalea Marinovic, Marques-Vidal, Pedro, Marques, Larissa Pruner, Marrugat, Jaume, Martorell, Reynaldo, Mascarenhas, Luis P., Matasin, Marija, Mathiesen, Ellisiv B., Mathur, Prashant, Matijasevich, Alicia, Matlosz, Piotr, Matsha, Tandi E., Mavrogianni, Christina, Mbanya, Jean Claude N., Mc Donald Posso, Anselmo J., McFarlane, Shelly R., McGarvey, Stephen T., McLachlan, Stela, McLean, Rachael M., McLean, Scott B., McNulty, Breige A., Benchekor, Sounnia Mediene, Medzioniene, Jurate, Mehdipour, Parinaz, Mehlig, Kirsten, Mehrparvar, Amir Houshang, Meirhaeghe, Aline, Meisinger, Christa, Mendoza Montano, Carlos, Menezes, Ana Maria B., Menon, Geetha R., Mereke, Alibek, Meshram, Indrapal I., Metspalu, Andres, Meyer, Haakon E., Mi, Jie, Michels, Nathalie, Mikkel, Kairit, Milkowska, Karolina, Miller, Jody C., Minderico, Claudia S., Mini, G. K., Mirjalili, Mohammad Reza, Mirrakhimov, Erkin, Misigoj-Durakovic, Marjeta, Modesti, Pietro A., Moghaddam, Sahar Saeedi, Mohajer, Bahram, Mohamed, Mostafa K., Mohamed, Shukri F., Mohammad, Kazem, Mohammadi, Mohammad Reza, Mohammadi, Zahra, Mohammadifard, Noushin, Mohammadpourhodki, Reza, Mohan, Viswanathan, Mohanna, Salim, Yusoff, Muhammad Fadhli Mohd, Mohebbi, Iraj, Mohebi, Farnam, Moitry, Marie, Mollehave, Line T., Molnar, Denes, Momenan, Amirabbas, Mondo, Charles K., Monterrubio-Flores, Eric, Monyeki, Kotsedi Daniel K., Moon, Jin Soo, Moosazadeh, Mahmood, Moreira, Leila B., Morejon, Alain, Moreno, Luis A., Morgan, Karen, Moschonis, George, Mossakowska, Malgorzata, Mostafa, Aya, Mostafavi, Seyed-Ali, Mota, Jorge, Motlagh, Mohammad Esmaeel, Motta, Jorge, Andre Moura-dos-Santos, Marcos, Mridha, Malay K., Msyamboza, Kelias P., Mu, Thet Thet, Muhihi, Alfa J., Muiesan, Maria L., Muller-Nurasyid, Martina, Murphy, Neil, Mursu, Jaakko, Musa, Kamarul Imran, Milanovic, Sanja Music, Musil, Vera, Mustafa, Norlaila, Nabipour, Iraj, Naderimagham, Shohreh, Nagel, Gabriele, Naidu, Balkish M., Najafi, Farid, Nakamura, Harunobu, Namesna, Jana, Nang, Ei Ei K., Nangia, Vinay B., Narake, Sameer, Ndiaye, Ndeye Coumba, Neal, William A., Nejatizadeh, Azim, Nenko, Ilona, Neovius, Martin, Neuhauser, Hannelore K., Nguyen, Chung T., Nguyen, Nguyen D., Nguyen, Quang V., Quang Ngoc Nguyen, Nieto-Martinez, Ramfis E., Niiranen, Teemu J., Nikitin, Yury P., Ninomiya, Toshiharu, Nishtar, Sania, Njelekela, Marina A., Noale, Marianna, Noboa, Oscar A., Noorbala, Ahmad Ali, Norat, Teresa, Nordendahl, Maria, Nordestgaard, Borge G., Noto, Davide, Nowak-Szczepanska, Natalia, Al Nsour, Mohannad, Nunes, Baltazar, O'Neill, Terence W., O'Reilly, Dermot, Ochimana, Caleb, Oda, Eiji, Odili, Augustine N., Oh, Kyungwon, Ohara, Kumiko, Ohtsuka, Ryutaro, Olie, Valerie, Olinto, Maria Teresa A., Oliveira, Isabel O., Omar, Mohd Azahadi, Onat, Altan, Ong, Sok King, Ono, Lariane M., Ordunez, Pedro, Ornelas, Rui, Ortiz, Pedro J., Osmond, Clive, Ostojic, Sergej M., Ostovar, Afshin, Otero, Johanna A., Overvad, Kim, Owusu-Dabo, Ellis, Paccaud, Fred Michel, Padez, Cristina, Pahomova, Elena, de Paiva, Karina Mary, Pajak, Andrzej, Palli, Domenico, Palmieri, Luigi, Pan, Wen-Harn, Panda-Jonas, Songhomitra, Panza, Francesco, Paoli, Mariela, Papandreou, Dimitrios, Park, Soon-Woo, Park, Suyeon, Parnell, Winsome R., Parsaeian, Mahboubeh, Pasquet, Patrick, Patel, Nikhil D., Pavlyshyn, Halyna, Pecin, Ivan, Pednekar, Mangesh S., Pedro, Joao M., Peer, Nasheeta, Peixoto, Sergio Viana, Peltonen, Markku, Pereira, Alexandre C., Peres, Karen G. D. A., Peres, Marco A., Peters, Annette, Petkeviciene, Janina, Peykari, Niloofar, Son Thai Pham, Pichardo, Rafael N., Pigeot, Iris, Pikhart, Hynek, Pilav, Aida, Pilotto, Lorenza, Pitakaka, Freda, Piwonska, Aleksandra, Pizarro, Andreia N., Plans-Rubio, Pedro, Polasek, Ozren, Porta, Miquel, Poudyal, Anil, Pourfarzi, Farhad, Pourshams, Akram, Poustchi, Hossein, Pradeepa, Rajendra, Price, Alison J., Price, Jacqueline F., Providencia, Rui, Puhakka, Soile E., Puiu, Maria, Punab, Margus, Qasrawi, Radwan F., Qorbani, Mostafa, Queiroz, Daniel, Tran Quoc Bao, Radic, Ivana, Radisauskas, Ricardas, Rahimikazerooni, Salar, Rahman, Mahfuzar, Raitakari, Olli, Raj, Manu, Rakhimova, Ellina M., Rao, Sudha Ramachandra, Ramachandran, Ambady, Ramos, Elisabete, Rampal, Lekhraj, Rampal, Sanjay, Rangel Reina, Daniel A., Rarra, Vayia, Rech, Cassiano Ricardo, Redon, Josep, Reganit, Paul Ferdinand M., Regecova, Valeria, Revilla, Luis, Rezaianzadeh, Abbas, Ribeiro, Robespierre, Riboli, Elio, Richter, Adrian, Rigo, Fernando, de Wit, Tobias F. Rinke, Ritti-Dias, Raphael M., Robitaille, Cynthia, Rodriguez-Artalejo, Fernando, del Cristo Rodriguez-Perez, Maria, Rodriguez-Villamizar, Laura A., Roggenbuck, Ulla, Rojas-Martinez, Rosalba, Romaguera, Dora, Romeo, Elisabetta L., Rosengren, Annika, Roy, Joel G. R., Rubinstein, Adolfo, Ruidavets, Jean-Bernard, Sandra Ruiz-Betancourt, Blanca, Ruiz-Castell, Maria, Rusakova, Iuliia A., Russo, Paola, Rutkowski, Marcin, Sabanayagam, Charumathi, Sabbaghi, Hamideh, Sachdev, Harshpal S., Sadjadi, Alireza, Safarpour, Ali Reza, Safi, Sare, Safiri, Saeid, Saidi, Olfa, Saki, Nader, Salanave, Benoit, Salazar Martinez, Eduardo, Salmeron, Diego, Salomaa, Veikko, Salonen, Jukka T., Salvetti, Massimo, Sanchez-Abanto, Jose, Sans, Susana, Santos, Diana A., Santos, Ina S., Santos, Lelita C., Santos, Maria Paula, Santos, Rute, Saramies, Jouko L., Sardinha, Luis B., Sarganas, Giselle, Sarrafzadegan, Nizal, Sathish, Thirunavukkarasu, Saum, Kai-Uwe, Savva, Savvas, Sawada, Norie, Sbaraini, Mariana, Scazufca, Marcia, Schaan, Beatriz D., Schargrodsky, Herman, Schipf, Sabine, Schmidt, Carsten O., Schnohr, Peter, Schoettker, Ben, Schramm, Sara, Schultsz, Constance, Schutte, Aletta E., Sebert, Sylvain, Sein, Aye Aye, Sen, Abhijit, Senbanjo, Idowu O., Sepanlou, Sadaf G., Servais, Jennifer, Shalnova, Svetlana A., Shamah-Levy, Teresa, Shamshirgaran, Morteza, Shanthirani, Coimbatore Subramaniam, Sharafkhah, Maryam, Sharma, Sanjib K., Shaw, Jonathan E., Shayanrad, Amaneh, Shayesteh, Ali Akbar, Shi, Zumin, Shibuya, Kenji, Shimizu-Furusawa, Hana, Shin, Dong Wook, Shirani, Majid, Shiri, Rahman, Shrestha, Namuna, Si-Ramlee, Khairil, Siani, Alfonso, Siantar, Rosalynn, Sibai, Abla M., de Moura Silva, Caroline Ramos, Santos Silva, Diego Augusto, Simon, Mary, Simons, Judith, Simons, Leon A., Sjostrom, Michael, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemyslaw, Smeeth, Liam, So, Hung-Kwan, Soares, Fernanda Cunha, Sobngwi, Eugene, Soderberg, Stefan, Soemantri, Agustinus, Sofat, Reecha, Solfrizzi, Vincenzo, Somi, Mohammad Hossein, Sonestedt, Emily, Song, Yi, Sorensen, Thorkild I. A., Sorgjerd, Elin P., Soric, Maroje, Jerome, Charles Sossa, Soumare, Aicha, Sparboe-Nilsen, Bente, Sparrenberger, Karen, Staessen, Jan A., Starc, Gregor, Stavreski, Bill, Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D., Stergiou, George S., Stessman, Jochanan, Stieber, Jutta, Stoeckl, Doris, Stocks, Tanja, Stokwiszewski, Jakub, Stronks, Karien, Strufaldi, Maria Wany, Suka, Machi, Sun, Chien-An, Sung, Yn-Tz, Suriyawongpaisal, Paibul, Sy, Rody G., Syddall, Holly E., Sylva, Rene Charles, Szklo, Moyses, Tai, E. Shyong, Tammesoo, Mari-Liis, Tamosiunas, Abdonas, Tan, Eng Joo, Tang, Xun, Tanser, Frank, Tao, Yong, Tarawneh, Mohammed Rasoul, Tarqui-Mamani, Carolina B., Taylor, Anne, Taylor, Julie, Tebar, William R., Tell, Grethe S., Tello, Tania, Tham, Yih Chung, Thankappan, K. R., Theobald, Holger, Theodoridis, Xenophon, Thinggaard, Mikael, Thomas, Nihal, Thorand, Barbara, Thuesen, Betina H., Timmermans, Erik J., Tjandrarini, Dwi H., Tjonneland, Anne, Toft, Ulla, Tolonen, Hanna K., Tolstrup, Janne S., Topbas, Murat, Topor-Madry, Roman, Jose Tormo, Maria, Tornaritis, Michael J., Torrent, Maties, Torres-Collado, Laura, Touloumi, Giota, Traissac, Pierre, Triantafyllou, Areti, Trichopoulos, Dimitrios, Trichopoulou, Antonia, Trinh, Oanh T. H., Trivedi, Atul, Tshepo, Lechaba, Tsugane, Shoichiro, Tuliakova, Azaliia M., Tulloch-Reid, Marshall K., Tullu, Fikru, Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Turley, Maria L., Twig, Gilad, Tynelius, Per, Tzourio, Christophe, Ueda, Peter, Ugel, Eunice, Ulmer, Hanno, Uusitalo, Hannu M. T., Valdivia, Gonzalo, Valvi, Damaskini, van Dam, Rob M., van den Born, Bert-Jan, Van der Heyden, Johan, van der Schouw, Yvonne T., Van Herck, Koen, Hoang Van Minh, Van Schoor, Natasja M., van Valkengoed, Irene G. M., van Zutphen, Elisabeth M., Vanuzzo, Diego, Varbo, Anette, Vasan, Senthil K., Vega, Tomas, Veidebaum, Toomas, Velasquez-Melendez, Gustavo, Veronesi, Giovanni, Verschuren, W. M. Monique, Verstraeten, Roosmarijn, Victora, Cesar G., Viet, Lucie, Villalpando, Salvador, Vineis, Paolo, Vioque, Jesus, Virtanen, Jyrki K., Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vlasoff, Tiina, Vollenweider, Peter, Voutilainen, Ari, Wade, Alisha N., Walton, Janette, Wambiya, Elvis O. A., Bebakar, Wan Mohamad Wan, Mohamud, Wan Nazaimoon Wan, Wanderley Junior, Rildo de Souza, Wang, Ming-Dong, Wang, Ningli, Wang, Qian, Wang, Xiangjun, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S. Goya, Wareham, Nicholas, Wei, Wenbin, Weres, Aneta, Werner, Bo, Whincup, Peter H., Widhalm, Kurt, Wiecek, Andrzej, Wilks, Rainford J., Willeit, Johann, Willeit, Peter, Williams, Emmanuel A., Wilsgaard, Tom, Wojtyniak, Bogdan, Wong-McClure, Roy A., Wong, Andrew, Wong, Tien Yin, Woo, Jean, Wu, Frederick C., Wu, Shouling, Wyszynska, Justyna, Xu, Haiquan, Xu, Liang, Yaacob, Nor Azwany, Yan, Weili, Yang, Ling, Yang, Xiaoguang, Yang, Yang, Yasuharu, Tabara, Ye, Xingwang, Yiallouros, Panayiotis K., Yoosefi, Moein, Yoshihara, Akihiro, You, San-Lin, Younger-Coleman, Novie O., Yusoff, Ahmad Faudzi, Zainuddin, Ahmad A., Zakavi, Seyed Rasoul, Zamani, Farhad, Zambon, Sabina, Zampelas, Antonis, Elisa Zapata, Maria, Zaw, Ko Ko, Zejglicova, Kristyna, Vrkic, Tajana Zeljkovic, Zeng, Yi, Zhang, Luxia, Zhao, Dong, Zhao, Ming-Hui, Zhen, Shiqi, Zheng, Yingfeng, Zholdin, Bekbolat, Zhu, Dan, Zins, Marie, Zitt, Emanuel, Zocalo, Yanina, Zoghlami, Nada, Zuniga Cisneros, Julio., School of Medicine, ACS - Diabetes & metabolism, APH - Global Health, Pulmonology, Medical Informatics, Adult Psychiatry, Global Health, APH - Quality of Care, APH - Methodology, Vascular Medicine, ACS - Atherosclerosis & ischemic syndromes, Anesthesiology, Graduate School, and ACS - Heart failure & arrhythmias
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Male ,Latin Americans ,Nutrition and Disease ,Epidemiology ,[SDV]Life Sciences [q-bio] ,Medizin ,BLOOD-PRESSURE ,030204 cardiovascular system & hematology ,Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants ,Hypertension ,Prevalence ,Control ,Tretament ,GUIDELINES ,Global Health ,Worldwide trends ,0302 clinical medicine ,Hypertension prevalence ,Voeding en Ziekte ,Medicine and Health Sciences ,kohonnut verenpaine ,Medicine ,030212 general & internal medicine ,Prevention and Control ,11 Medical and Health Sciences ,ComputingMilieux_MISCELLANEOUS ,education.field_of_study ,food and beverages ,Public Health, Global Health, Social Medicine and Epidemiology ,General Medicine ,Noncommunicable diseases ,Period prevalence ,Middle Aged ,kansainvälinen vertailu ,3142 Public health care science, environmental and occupational health ,3. Good health ,MIDDLE-INCOME ,Pooled analysis ,SYSTEMATIC ANALYSIS ,INCOME COUNTRIES ,ADULTS ,PREVENTION ,MANAGEMENT ,ADHERENCE ,DIAGNOSIS ,Western europe ,[SDE]Environmental Sciences ,Hypertension/diagnosis ,NCD Risk Factor Collaboration (NCD-RisC) ,Female ,B990 Subjects Allied to Medicine not elsewhere classified ,Life Sciences & Biomedicine ,Adult ,health-care ,esiintyvyys ,Central asia ,Population ,Nursing ,3121 Internal medicine ,03 medical and health sciences ,Medicine, General & Internal ,Drug Therapy ,General & Internal Medicine ,Life Science ,Humans ,ddc:610 ,education ,Antihypertensive Agents ,VLAG ,Aged ,Science & Technology ,Antihypertensive Agents/therapeutic use ,business.industry ,Omvårdnad ,fungi ,General and internal medicine ,Estados de Saúde e de Doença ,Taking medication ,Treatment ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,Blood pressure ,Faculdade de Ciências Sociais ,3121 General medicine, internal medicine and other clinical medicine ,lääkehoito ,1182 Biochemistry, cell and molecular biology ,business ,Demography - Abstract
Background: hypertension can be detected at the primary health-care level and low-cost treatments can effectively control hypertension. We aimed to measure the prevalence of hypertension and progress in its detection, treatment, and control from 1990 to 2019 for 200 countries and territories. Methods: we used data from 1990 to 2019 on people aged 30-79 years from population-representative studies with measurement of blood pressure and data on blood pressure treatment. We defined hypertension as having systolic blood pressure 140 mm Hg or greater, diastolic blood pressure 90 mm Hg or greater, or taking medication for hypertension. We applied a Bayesian hierarchical model to estimate the prevalence of hypertension and the proportion of people with hypertension who had a previous diagnosis (detection), who were taking medication for hypertension (treatment), and whose hypertension was controlled to below 140/90 mm Hg (control). The model allowed for trends over time to be non-linear and to vary by age. Findings: the number of people aged 30-79 years with hypertension doubled from 1990 to 2019, from 331 (95% credible interval 306-359) million women and 317 (292-344) million men in 1990 to 626 (584-668) million women and 652 (604-698) million men in 2019, despite stable global age-standardised prevalence. In 2019, age-standardised hypertension prevalence was lowest in Canada and Peru for both men and women; in Taiwan, South Korea, Japan, and some countries in western Europe including Switzerland, Spain, and the UK for women; and in several low-income and middle-income countries such as Eritrea, Bangladesh, Ethiopia, and Solomon Islands for men. Hypertension prevalence surpassed 50% for women in two countries and men in nine countries, in central and eastern Europe, central Asia, Oceania, and Latin America. Globally, 59% (55-62) of women and 49% (46-52) of men with hypertension reported a previous diagnosis of hypertension in 2019, and 47% (43-51) of women and 38% (35-41) of men were treated. Control rates among people with hypertension in 2019 were 23% (20-27) for women and 18% (16-21) for men. In 2019, treatment and control rates were highest in South Korea, Canada, and Iceland (treatment >70%; control >50%), followed by the USA, Costa Rica, Germany, Portugal, and Taiwan. Treatment rates were less than 25% for women and less than 20% for men in Nepal, Indonesia, and some countries in sub-Saharan Africa and Oceania. Control rates were below 10% for women and men in these countries and for men in some countries in north Africa, central and south Asia, and eastern Europe. Treatment and control rates have improved in most countries since 1990, but we found little change in most countries in sub-Saharan Africa and Oceania. Improvements were largest in high-income countries, central Europe, and some upper-middle-income and recently high-income countries including Costa Rica, Taiwan, Kazakhstan, South Africa, Brazil, Chile, Turkey, and Iran. Interpretation Improvements in the detection, treatment, and control of hypertension have varied substantially across countries, with some middle-income countries now outperforming most high-income nations. The dual approach of reducing hypertension prevalence through primary prevention and enhancing its treatment and control is achievable not only in high-income countries but also in low-income and middle-income settings., British Heart Foundation Centre of Research Excellence Grant; World Health Organization (WHO); Abdul Latif Jameel Institute for Disease and Emergency Analytics Fellowship
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- 2021
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12. A New Pipeline for the Normalization and Pooling of Metabolomics Data
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Viallon, V, His, M, Rinaldi, S, Breeur, M, Gicquiau, A, Hemon, B, Overvad, K, Tjonneland, A, Rostgaard-Hansen, AL, Rothwell, JA, Lecuyer, L, Severi, G, Kaaks, R, Johnson, T, Schulze, MB, Palli, D, Agnoli, C, Panico, S, Tumino, R, Ricceri, F, Verschuren, WMM, Engelfriet, P, Onland-Moret, C, Vermeulen, R, Nost, TH, Urbarova, I, Zamora-Ros, R, Rodriguez-Barranco, M, Amiano, P, Huerta, JM, Ardanaz, E, Melander, O, Ottoson, F, Vidman, L, Rentoft, M, Schmidt, JA, Travis, RC, Weiderpass, E, Johansson, M, Dossus, L, Jenab, M, Gunter, MJ, Bermejo, JL, Scherer, D, Salek, RM, Keski-Rahkonen, P, Ferrari, P, Viallon, V, His, M, Rinaldi, S, Breeur, M, Gicquiau, A, Hemon, B, Overvad, K, Tjonneland, A, Rostgaard-Hansen, AL, Rothwell, JA, Lecuyer, L, Severi, G, Kaaks, R, Johnson, T, Schulze, MB, Palli, D, Agnoli, C, Panico, S, Tumino, R, Ricceri, F, Verschuren, WMM, Engelfriet, P, Onland-Moret, C, Vermeulen, R, Nost, TH, Urbarova, I, Zamora-Ros, R, Rodriguez-Barranco, M, Amiano, P, Huerta, JM, Ardanaz, E, Melander, O, Ottoson, F, Vidman, L, Rentoft, M, Schmidt, JA, Travis, RC, Weiderpass, E, Johansson, M, Dossus, L, Jenab, M, Gunter, MJ, Bermejo, JL, Scherer, D, Salek, RM, Keski-Rahkonen, P, and Ferrari, P
- Abstract
Pooling metabolomics data across studies is often desirable to increase the statistical power of the analysis. However, this can raise methodological challenges as several preanalytical and analytical factors could introduce differences in measured concentrations and variability between datasets. Specifically, different studies may use variable sample types (e.g., serum versus plasma) collected, treated, and stored according to different protocols, and assayed in different laboratories using different instruments. To address these issues, a new pipeline was developed to normalize and pool metabolomics data through a set of sequential steps: (i) exclusions of the least informative observations and metabolites and removal of outliers; imputation of missing data; (ii) identification of the main sources of variability through principal component partial R-square (PC-PR2) analysis; (iii) application of linear mixed models to remove unwanted variability, including samples' originating study and batch, and preserve biological variations while accounting for potential differences in the residual variances across studies. This pipeline was applied to targeted metabolomics data acquired using Biocrates AbsoluteIDQ kits in eight case-control studies nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Comprehensive examination of metabolomics measurements indicated that the pipeline improved the comparability of data across the studies. Our pipeline can be adapted to normalize other molecular data, including biomarkers as well as proteomics data, and could be used for pooling molecular datasets, for example in international consortia, to limit biases introduced by inter-study variability. This versatility of the pipeline makes our work of potential interest to molecular epidemiologists.
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- 2021
13. Long term exposure to low level air pollution and mortality in eight European cohorts within the ELAPSE project: pooled analysis.
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Strak, M, Weinmayr, G, Rodopoulou, S, Chen, J, de Hoogh, K, Andersen, ZJ, Atkinson, R, Bauwelinck, M, Bekkevold, T, Bellander, T, Boutron-Ruault, M-C, Brandt, J, Cesaroni, G, Concin, H, Fecht, D, Forastiere, F, Gulliver, J, Hertel, O, Hoffmann, B, Hvidtfeldt, UA, Janssen, NAH, Jöckel, K-H, Jørgensen, JT, Ketzel, M, Klompmaker, JO, Lager, A, Leander, K, Liu, S, Ljungman, P, Magnusson, PKE, Mehta, AJ, Nagel, G, Oftedal, B, Pershagen, G, Peters, A, Raaschou-Nielsen, O, Renzi, M, Rizzuto, D, van der Schouw, YT, Schramm, S, Severi, G, Sigsgaard, T, Sørensen, M, Stafoggia, M, Tjønneland, A, Verschuren, WMM, Vienneau, D, Wolf, K, Katsouyanni, K, Brunekreef, B, Hoek, G, Samoli, E, Strak, M, Weinmayr, G, Rodopoulou, S, Chen, J, de Hoogh, K, Andersen, ZJ, Atkinson, R, Bauwelinck, M, Bekkevold, T, Bellander, T, Boutron-Ruault, M-C, Brandt, J, Cesaroni, G, Concin, H, Fecht, D, Forastiere, F, Gulliver, J, Hertel, O, Hoffmann, B, Hvidtfeldt, UA, Janssen, NAH, Jöckel, K-H, Jørgensen, JT, Ketzel, M, Klompmaker, JO, Lager, A, Leander, K, Liu, S, Ljungman, P, Magnusson, PKE, Mehta, AJ, Nagel, G, Oftedal, B, Pershagen, G, Peters, A, Raaschou-Nielsen, O, Renzi, M, Rizzuto, D, van der Schouw, YT, Schramm, S, Severi, G, Sigsgaard, T, Sørensen, M, Stafoggia, M, Tjønneland, A, Verschuren, WMM, Vienneau, D, Wolf, K, Katsouyanni, K, Brunekreef, B, Hoek, G, and Samoli, E
- Abstract
OBJECTIVE: To investigate the associations between air pollution and mortality, focusing on associations below current European Union, United States, and World Health Organization standards and guidelines. DESIGN: Pooled analysis of eight cohorts. SETTING: Multicentre project Effects of Low-Level Air Pollution: A Study in Europe (ELAPSE) in six European countries. PARTICIPANTS: 325 367 adults from the general population recruited mostly in the 1990s or 2000s with detailed lifestyle data. Stratified Cox proportional hazard models were used to analyse the associations between air pollution and mortality. Western Europe-wide land use regression models were used to characterise residential air pollution concentrations of ambient fine particulate matter (PM2.5), nitrogen dioxide, ozone, and black carbon. MAIN OUTCOME MEASURES: Deaths due to natural causes and cause specific mortality. RESULTS: Of 325 367 adults followed-up for an average of 19.5 years, 47 131 deaths were observed. Higher exposure to PM2.5, nitrogen dioxide, and black carbon was associated with significantly increased risk of almost all outcomes. An increase of 5 µg/m3 in PM2.5 was associated with 13% (95% confidence interval 10.6% to 15.5%) increase in natural deaths; the corresponding figure for a 10 µg/m3 increase in nitrogen dioxide was 8.6% (7% to 10.2%). Associations with PM2.5, nitrogen dioxide, and black carbon remained significant at low concentrations. For participants with exposures below the US standard of 12 µg/m3 an increase of 5 µg/m3 in PM2.5 was associated with 29.6% (14% to 47.4%) increase in natural deaths. CONCLUSIONS: Our study contributes to the evidence that outdoor air pollution is associated with mortality even at low pollution levels below the current European and North American standards and WHO guideline values. These findings are therefore an important contribution to the debate about revision of air quality limits, guidelines, and standards, and future assessments by the Glob
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- 2021
14. SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe
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Achenbach, S, Aleksandrova, K, Amiano, P, San Sebastian, D, Amouyel, P, Andersson, J, Bakker, S, Da Providencia Costa, R, Beulens, J, Blaha, M, Bobak, M, Boer, J, Bonet, C, Bonnet, F, Boutron-Ruault, M, Braaten, T, Brenner, H, Brunner, F, Brunner, E, Brunström, M, Buring, J, Butterworth, A, Capkova, N, Cesana, G, Chrysohoou, C, Colorado-Yohar, S, Cook, N, Cooper, C, Dahm, C, Davidson, K, Dennison, E, Di Castelnuovo, A, Donfrancesco, C, Dörr, M, Doryńska, A, Eliasson, M, Engström, G, Ferrari, P, Ferrario, M, Ford, I, Fu, M, Gansevoort, R, Giampaoli, S, Gillum, R, Gómez de la Cámara, A, Grassi, G, Hansson, P, Huculeci, R, Hveem, K, Iacoviello, L, Ikram, M, Jørgensen, T, Joseph, B, Jousilahti, P, Wouter Jukema, J, Kaaks, R, Katzke, V, Kavousi, M, Kiechl, S, Klotsche, J, König, W, Kronmal, R, Kubinova, R, Kucharska-Newton, A, Läll, K, Lehmann, N, Leistner, D, Linneberg, A, Pablos, D, Lorenz, T, Lu, W, Luksiene, D, Lyngbakken, M, Magnussen, C, Malyutina, S, Ibañez, A, Masala, G, Mathiesen, E, Matsushita, K, Meade, T, Melander, O, Meyer, H, Moons, K, Moreno-Iribas, C, Muller, D, Münzel, T, Nikitin, Y, Nordestgaard, B, Omland, T, Onland, C, Overvad, K, Packard, C, Pająk, A, Palmieri, L, Panagiotakos, D, Panico, S, Perez-Cornago, A, Peters, A, Pietilä, A, Pikhart, H, Psaty, B, Quarti-Trevano, F, Garcia, J, Riboli, E, Ridker, P, Rodriguez, B, Rodriguez-Barranco, M, Rosengren, A, Roussel, R, Sacerdote, C, S, S, Sattar, N, Schiborn, C, Schmidt, B, Schöttker, B, Schulze, M, Schwartz, J, Selmer, R, Shea, S, Shipley, M, Sieri, S, Söderberg, S, Sofat, R, Tamosiunas, A, Thorand, B, Tillmann, T, Tjønneland, A, Tong, T, Trichopoulou, A, Tumino, R, Tunstall-Pedoe, H, Tybjaerg-Hansen, A, Tzoulaki, J, van der Heijden, A, van der Schouw, Y, Verschuren, W, Völzke, H, Waldeyer, C, Wareham, N, Weiderpass, E, Weidinger, F, Wild, P, Willeit, J, Willeit, P, Wilsgaard, T, Woodward, M, Zeller, T, Zhang, D, Zhou, B, Bakker, SJL, Da Providencia Costa, RB, Beulens, JWJ, Boer, JMA, Boutron-Ruault, MC, Brunner, EJ, Butterworth, AS, Cook, NR, Dahm, CC, Gansevoort, RT, Gillum, RF, Hansson, PO, Ikram, MK, Kronmal, RA, Pablos, DL, Malyutina, So, Ibañez, AM, Mathiesen, EB, Meade, TW, Meyer, HE, Moons, KGM, Nordestgaard, BG, Psaty, BM, Garcia, JRQ, Ridker, PM, C Sans, Schwartz, JE, Selmer, RM, Shipley, MJ, Tong, TYN, van der Schouw, YT, Verschuren, WMM, Wareham, NJ, Achenbach, S, Aleksandrova, K, Amiano, P, San Sebastian, D, Amouyel, P, Andersson, J, Bakker, S, Da Providencia Costa, R, Beulens, J, Blaha, M, Bobak, M, Boer, J, Bonet, C, Bonnet, F, Boutron-Ruault, M, Braaten, T, Brenner, H, Brunner, F, Brunner, E, Brunström, M, Buring, J, Butterworth, A, Capkova, N, Cesana, G, Chrysohoou, C, Colorado-Yohar, S, Cook, N, Cooper, C, Dahm, C, Davidson, K, Dennison, E, Di Castelnuovo, A, Donfrancesco, C, Dörr, M, Doryńska, A, Eliasson, M, Engström, G, Ferrari, P, Ferrario, M, Ford, I, Fu, M, Gansevoort, R, Giampaoli, S, Gillum, R, Gómez de la Cámara, A, Grassi, G, Hansson, P, Huculeci, R, Hveem, K, Iacoviello, L, Ikram, M, Jørgensen, T, Joseph, B, Jousilahti, P, Wouter Jukema, J, Kaaks, R, Katzke, V, Kavousi, M, Kiechl, S, Klotsche, J, König, W, Kronmal, R, Kubinova, R, Kucharska-Newton, A, Läll, K, Lehmann, N, Leistner, D, Linneberg, A, Pablos, D, Lorenz, T, Lu, W, Luksiene, D, Lyngbakken, M, Magnussen, C, Malyutina, S, Ibañez, A, Masala, G, Mathiesen, E, Matsushita, K, Meade, T, Melander, O, Meyer, H, Moons, K, Moreno-Iribas, C, Muller, D, Münzel, T, Nikitin, Y, Nordestgaard, B, Omland, T, Onland, C, Overvad, K, Packard, C, Pająk, A, Palmieri, L, Panagiotakos, D, Panico, S, Perez-Cornago, A, Peters, A, Pietilä, A, Pikhart, H, Psaty, B, Quarti-Trevano, F, Garcia, J, Riboli, E, Ridker, P, Rodriguez, B, Rodriguez-Barranco, M, Rosengren, A, Roussel, R, Sacerdote, C, S, S, Sattar, N, Schiborn, C, Schmidt, B, Schöttker, B, Schulze, M, Schwartz, J, Selmer, R, Shea, S, Shipley, M, Sieri, S, Söderberg, S, Sofat, R, Tamosiunas, A, Thorand, B, Tillmann, T, Tjønneland, A, Tong, T, Trichopoulou, A, Tumino, R, Tunstall-Pedoe, H, Tybjaerg-Hansen, A, Tzoulaki, J, van der Heijden, A, van der Schouw, Y, Verschuren, W, Völzke, H, Waldeyer, C, Wareham, N, Weiderpass, E, Weidinger, F, Wild, P, Willeit, J, Willeit, P, Wilsgaard, T, Woodward, M, Zeller, T, Zhang, D, Zhou, B, Bakker, SJL, Da Providencia Costa, RB, Beulens, JWJ, Boer, JMA, Boutron-Ruault, MC, Brunner, EJ, Butterworth, AS, Cook, NR, Dahm, CC, Gansevoort, RT, Gillum, RF, Hansson, PO, Ikram, MK, Kronmal, RA, Pablos, DL, Malyutina, So, Ibañez, AM, Mathiesen, EB, Meade, TW, Meyer, HE, Moons, KGM, Nordestgaard, BG, Psaty, BM, Garcia, JRQ, Ridker, PM, C Sans, Schwartz, JE, Selmer, RM, Shipley, MJ, Tong, TYN, van der Schouw, YT, Verschuren, WMM, and Wareham, NJ
- Abstract
Aims: The aim of this study was to develop, validate, and illustrate an updated prediction model (SCORE2) to estimate 10-year fatal and non-fatal cardiovascular disease (CVD) risk in individuals without previous CVD or diabetes aged 40-69 years in Europe. Methods and results : We derived risk prediction models using individual-participant data from 45 cohorts in 13 countries (677 684 individuals, 30 121 CVD events). We used sex-specific and competing risk-adjusted models, including age, smoking status, systolic blood pressure, and total- and HDL-cholesterol. We defined four risk regions in Europe according to country-specific CVD mortality, recalibrating models to each region using expected incidences and risk factor distributions. Region-specific incidence was estimated using CVD mortality and incidence data on 10 776 466 individuals. For external validation, we analysed data from 25 additional cohorts in 15 European countries (1 133 181 individuals, 43 492 CVD events). After applying the derived risk prediction models to external validation cohorts, C-indices ranged from 0.67 (0.65-0.68) to 0.81 (0.76-0.86). Predicted CVD risk varied several-fold across European regions. For example, the estimated 10-year CVD risk for a 50-year-old smoker, with a systolic blood pressure of 140 mmHg, total cholesterol of 5.5 mmol/L, and HDL-cholesterol of 1.3 mmol/L, ranged from 5.9% for men in low-risk countries to 14.0% for men in very high-risk countries, and from 4.2% for women in low-risk countries to 13.7% for women in very high-risk countries. Conclusion : SCORE2-a new algorithm derived, calibrated, and validated to predict 10-year risk of first-onset CVD in European populations-enhances the identification of individuals at higher risk of developing CVD across Europe.
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- 2021
15. Anti-Müllerian hormone levels and risk of cancer in women
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Verdiesen, RMG, van Gils, CH, Stellato, RK, Verschuren, WMM, Broekmans, FJM, de Kat, AC, van der Schouw, YT, and Onland-Moret, NC
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- 2020
16. Longitudinal analysis of cardiovascular risk parameters in women with a history of hypertensive pregnancy disorders: the Doetinchem Cohort Study
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Drost, J T, van der Schouw, Y T, Maas, AHEM, and Verschuren, WMM
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- 2013
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17. Hyperhomocysteïnemie: opsporen en behandelen? foliumzuur hart- en vaatziekten homocysteïnemie preventie
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van Binsbergen, JJ, Verschuren, WMM, and Blom, HJ
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- 2002
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18. Genetic variations in regulatory pathways of fatty acid and glucose metabolism are associated with obesity phenotypes: a population-based cohort study
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van den Berg, SW, Dollé, MET, Imholz, S, van der A, DL, van ʼt Slot, R, Wijmenga, C, Verschuren, WMM, Strien, C, Siezen, CLE, Hoebee, B, Feskens, EJM, and Boer, JMA
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- 2009
19. Cohort Profile: The Doetinchem Cohort Study
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Verschuren, WMM, Blokstra, A, Picavet, HSJ, and Smit, HA
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- 2008
20. Epidemiology of Inequalities: Effect of five year community intervention HARTSLAG on cardiovascular risk factors
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Schuit, AJ, Wendel-Vos, GCW, Verschuren, WMM, Ronckers, S, Ament, A, Van Ree, J, Van Assema, P, and Ruland, E
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- 2004
21. Physical activity and stroke. A meta-analysis of observational data
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Wendel-Vos, GCW, Schuit, AJ, Feskens, EJM, Boshuizen, HC, Verschuren, WMM, Saris, WHM, and Kromhout, D
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- 2004
22. Trends in total and high density lipoprotein cholesterol and their determinants in The Netherlands between 1993 and 1997
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Houterman, S, Verschuren, WMM, Oomen, CM, Boersma-Cobbaert, CM, and Kromhout, D
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- 2001
23. Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128.9 million children, adolescents, and adults
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Ezzati, M, Bentham, J, Di Cesare, M, Bilano, V, Bixby, H, Zhou, B, Stevens, GA, Riley, LM, Taddei, C, Hajifathalian, K, Lu, Y, Savin, S, Cowan, MJ, Paciore, CJ, Chiritaemandi, A, Hayes, AJ, Katz, J, Kelishadi, R, Kengne, AP, Khang, Y-H, Laxmaiah, A, Li, Y, Ma, J, Miranda, JJ, Mostafa, A, Neovius, M, Padez, C, Rampal, L, Zhu, A, Bennet, JE, Danaei, G, Bhutta, ZA, Abarca-Gomez, L, Abdeen, ZA, Hamid, ZA, Abu-Rmeileh, NM, Acosta-Cazares, B, Acuin, C, Adams, RJ, Aekplakorn, W, Afsana, K, Aguilar-Salinas, CA, Agyemng, C, Ahmadvand, A, Ahrens, W, Ajlouni, K, Akhtaeva, N, Al-Hazzaa, HM, Al-Othman, AR, Al-Raddadi, R, AlBuhairan, F, AlDhukai, S, Ali, MM, Ali, O, Alkerwi, A, Alvarez-Pedrerol, M, Aly, E, Amarapurkar, DN, Amouyel, P, Amuzu, A, Andersen, LB, Anderssen, SA, Andrade, DS, Angquist, LH, Anjana, RM, Aounallah-Skhiri, H, Araujo, J, Arianse, I, Aris, T, Arlappa, N, Arveiler, D, Aryal, KK, Aspelund, T, Assah, FK, Assuncao, MCF, Aung, MS, Avdicova, M, Azevedo, A, Azizi, F, Babu, BV, Bahijri, S, Baker, JL, Balakrishna, N, Bamoshmoosh, M, Banach, M, Bandosz, P, Banegas, JR, Barbagallo, CM, Barcelo, A, Barkat, A, Barros, AJD, Barros, MVG, Bata, I, Batieha, AM, Batista, RL, Batyrbek, A, Baur, LA, Beaglehole, R, Ben Romdhane, H, Benedics, J, Benet, M, Bernabe, A, Bernotiene, G, Bettiol, H, Bhagyalaxmi, A, Bharadwaj, S, Bhargava, SK, Bhatti, Z, Bi, H, Bi, Y, Biehl, A, Bikbov, M, Bista, B, Bjelica, DJ, Bjerregaard, P, Bjertnes, E, Bjness, MB, Bjorkelund, C, Blokstra, A, Bo, S, Bobak, M, Boddy, LM, Boehm, BO, Boeing, H, Boggia, JG, Boissonnet, CP, Bonaccio, M, Bongard, V, Bovet, P, Braeckevelt, L, Braeckman, L, Bragt, MCE, Brajkovich, I, Branca, F, Breckenkamp, J, Breda, J, Brenner, H, Brewster, LM, Brian, GR, Brinduse, L, Bruno, G, Bueno-de-Mesquita, HB, Bugge, A, Buoncristiano, M, Burazeri, G, Burns, C, Cabrera de Leon, A, Cacciottolo, J, Cai, H, Cama, T, Cameron, C, Camola, J, Can, G, Candido, APCC, Capanzana, M, Capuano, V, Cardoso, VC, Carlsson, AC, Carvalho, MJ, Casanueva, FF, Casas, JP, Caserta, CA, Chamukuttan, S, Chan, AW, Chan, Q, Chaturvedi, HK, Chaturvedi, N, Chen, C-J, Chen, F, Chen, H, Chen, S, Chen, Z, Cheng, C-Y, Chetrit, A, Chikova-Iscener, E, Chiolero, A, Chiou, S-T, Chirita-Emandi, A, Chirlaque, M-D, Cho, B, Cho, Y, Christensen, K, Christofaro, DG, Chudek, J, Cifkova, R, Cinteza, E, Claessens, F, Clays, E, Concin, H, Confortin, SC, Cooper, C, Cooper, R, Coppinger, TC, Costanzo, S, Cottel, D, Cowell, C, Craig, CL, Crujeiras, AB, Cucu, A, D'Arrigo, G, d'Orsi, E, Dallongeville, J, Damasceno, A, Damsgaard, CT, Danae, G, Dankner, R, Dantoft, TM, Dastgiri, S, Dauchet, L, Davletov, K, De Backer, G, De Bacquer, D, De Curtis, A, de Gaetano, G, De Henauw, S, de Oliveira, PD, De Ridder, K, De Smedt, D, Deepa, M, Deev, AD, Dehghan, A, Delisle, H, Delpeuch, F, Deschamps, V, Dhana, K, Di Castelnuovo, AF, Dias-da-Costa, JS, Diaz, A, Dika, Z, Djalalinia, S, Do, HTP, Dobson, AJ, Donati, MB, Donfrancesco, C, Donoso, SP, Doering, A, Dorobantu, M, Dorosty, AR, Doua, K, Drygas, W, Duan, JL, Duante, C, Duleva, V, Dulskiene, V, Dzerve, V, Dziankowska-Zaborszczyk, E, Egbagbe, EE, Eggertsen, R, Eiben, G, Ekelund, U, El Ati, J, Elliott, P, Engle-Stone, R, Erasmus, RT, Erem, C, Eriksen, L, Eriksson, JG, Escobedo, J, Evans, A, Faeh, D, Fall, CH, Sant'Angelo, VF, Farzadfar, F, Felix-Redondo, FJ, Ferguson, TS, Fernandes, RA, Fernandez-Berges, D, Ferrante, D, Ferrari, M, Ferreccio, C, Ferrieres, J, Finn, JD, Fischer, K, Monterubio Flores, E, Foeger, B, Foo, LH, Forslund, A-S, Forsner, M, Fouad, HM, Francis, DK, Franco, MDC, Franco, OH, Frontera, G, Fuchs, FD, Fuch, SC, Fujita, Y, Furusawa, T, Gaciong, Z, Gafencu, M, Galeone, D, Galvano, F, Garcia-de-la-Hera, M, Gareta, D, Garnett, SP, Gaspoz, J-M, Gasull, M, Gates, L, Geiger, H, Geleijnse, JM, Ghasemian, A, Giampaoli, S, Gianfagna, F, Gill, TK, Giovannelli, J, Giwerman, A, Godos, J, Gogen, S, Goldsmith, RA, Goltzman, D, Goncalves, H, Gonzalez-Leon, M, Gonzalez-Rivas, JP, Gonzalez-Gross, M, Gottrand, F, Graca, AP, Graff-Iversen, S, Grafnetter, D, Grajda, A, Grammatikopoulou, MG, Gregor, RD, Grodzicki, T, Grontved, A, Grosso, G, Gruden, G, Grujic, V, Gu, D, Gualdi-Russo, E, Guallar-Castillon, P, Guan, OP, Gudmundsson, EF, Gudnason, V, Guerrero, R, Guessous, I, Guimaraes, AL, Gulliford, MC, Gunnlaugsdottir, J, Gunter, M, Guo, X, Guo, Y, Gupta, PC, Gupta, R, Gureje, O, Gurzkowska, B, Gutierrez, L, Gutzwiller, F, Hadaegh, F, Hadjigeorgiou, CA, Si-Ramlee, K, Halkjaer, J, Hambleton, IR, Hardy, R, Kumar, RH, Hassapidou, M, Hata, J, He, J, Heidinger-Felso, R, Heinen, M, Hendriks, ME, Henriques, A, Cadena, LH, Herrala, S, Herrera, VM, Herter-Aeberli, I, Heshmat, R, Hihtaniemi, IT, Ho, SY, Ho, SC, Hobbs, M, Hofman, A, Hopman, WM, Horimoto, ARVR, Hormiga, CM, Horta, BL, Houti, L, Howitt, C, Htay, TT, Htet, AS, Htike, MMT, Hu, Y, Huerta, JM, Petrescu, CH, Huisman, M, Husseini, A, Huu, CN, Huybrechts, I, Hwalla, N, Hyska, J, Iacoviello, L, Iannone, AG, Ibarluzea, JM, Ibrahim, MM, Ikeda, N, Ikram, MA, Irazola, VE, Islam, M, Ismail, AA-S, Ivkovic, V, Iwasaki, M, Jackson, RT, Jacobs, JM, Jaddou, H, Jafar, T, Jamil, KM, Jamrozik, K, Janszky, I, Jarani, J, Jasienska, G, Jelakovic, A, Jelakovic, B, Jennings, G, Jeong, S-L, Jiang, CQ, Magaly Jimenez-Acosta, S, Joffres, M, Johansson, M, Jonas, JB, Jorgensen, T, Joshi, P, Jovic, DP, Jozwiak, J, Juolevi, A, Jurak, G, Juresa, V, Kaaks, R, Kafatos, A, Kajantie, EO, Kalter-Leibovici, O, Kamaruddin, NA, Kapantais, E, Karki, KB, Kasaeian, A, Kauhanen, J, Kaur, P, Kavousi, M, Kazakbaeva, G, Keil, U, Boker, LK, Keinanen-Kiukaanniemi, S, Kelleher, C, Kemper, HCG, Kerimkulova, A, Kersting, M, Key, T, Khader, OS, Khalili, D, Khateeb, M, Khaw, K-T, Khouw, IMSL, Kiechl-Kohlendorfer, U, Kiech, S, Killewo, J, Kim, J, Kim, Y-Y, Klimont, J, Klumbiene, J, Knoflach, M, Koirala, B, Kolle, E, Kolsteren, P, Korrovits, P, Kos, J, Koskinen, S, Kouda, K, Kovacs, VA, Kowlessur, S, Koziel, S, Kratzer, W, Kriemler, S, Kristensen, PL, Krokstad, S, Kromhout, D, Kruger, HS, Kubinova, R, Kuciene, R, Kuh, D, Kujala, UM, Kulaga, Z, Kumar, RK, Kunesova, M, Kurjata, P, Kusuma, YS, Kuulasmaa, K, Kyobutungi, C, La, QN, Laamiri, FZ, Laatikainen, T, Lachat, C, Laid, Y, Lam, TH, Landrove, O, Lanska, V, Lappas, G, Larijani, B, Laugsand, LE, Lauria, L, Bao, KLN, Le, TD, Lebanan, MAO, Leclercq, C, Lee, J, Lehtimaki, T, Leon-Munoz, LM, Levitt, NS, Lilly, CL, Lim, W-Y, Fernanda Lima-Costa, M, Lin, H-H, Lin, X, Lind, L, Linneberg, A, Lissner, L, Litwin, M, Liu, J, Loit, H-M, Lopes, L, Lorbeer, R, Lotufo, PA, Eugenio Lozano, J, Luksiene, D, Lundqvist, A, Lunet, N, Lytsy, P, Ma, G, Machado-Coelho, GLL, Machado-Rodrigues, AM, Machi, S, Maggi, S, Magliano, DJ, Magriplis, E, Mahaletchumy, A, Maire, B, Majer, M, Makdisse, M, Malekzadeh, R, Malhotra, R, Rao, KM, Malyutina, S, Manios, Y, Mann, JI, Manzato, E, Margozzini, P, Markaki, A, Markey, O, Marques, LP, Marques-Vidal, P, Marrugat, J, Martin-Prevel, Y, Martin, R, Martorell, R, Martos, E, Marventano, S, Masoodi, 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SDG 3 - Good Health and Well-being ,Medicine (all) - Abstract
Made available in DSpace on 2018-11-26T20:04:45Z (GMT). No. of bitstreams: 0 Previous issue date: 2017-12-16 Wellcome Trust AstraZeneca Background Underweight, overweight, and obesity in childhood and adolescence are associated with adverse health consequences throughout the life-course. Our aim was to estimate worldwide trends in mean body-mass index (BMI) and a comprehensive set of BMI categories that cover underweight to obesity in children and adolescents, and to compare trends with those of adults. Methods We pooled 2416 population-based studies with measurements of height and weight on 128.9 million participants aged 5 years and older, including 31.5 million aged 5-19 years. We used a Bayesian hierarchical model to estimate trends from 1975 to 2016 in 200 countries for mean BMI and for prevalence of BMI in the following categories for children and adolescents aged 5-19 years: more than 2 SD below the median of the WHO growth reference for children and adolescents (referred to as moderate and severe underweight hereafter), 2 SD to more than 1 SD below the median (mild underweight), 1 SD below the median to 1 SD above the median (healthy weight), more than 1 SD to 2 SD above the median (overweight but not obese), and more than 2 SD above the median (obesity). Findings Regional change in age-standardised mean BMI in girls from 1975 to 2016 ranged from virtually no change (-0.01 kg/m (2) per decade; 95% credible interval -0.42 to 0.39, posterior probability [PP] of the observed decrease being a true decrease= 0.5098) in eastern Europe to an increase of 1.00 kg/m(2) per decade (0.69-1.35, PP> 0.9999) in central Latin America and an increase of 0.95 kg/m (2) per decade (0.64-1.25, PP> 0.9999) in Polynesia and Micronesia. The range for boys was from a non-significant increase of 0.09 kg/m(2) per decade (-0.33 to 0.49, PP= 0.6926) in eastern Europe to an increase of 0.77 kg/m (2) per decade (0.50-1.06, PP> 0.9999) in Polynesia and Micronesia. Trends in mean BMI have recently flattened in northwestern Europe and the high-income English-speaking and Asia-Pacific regions for both sexes, southwestern Europe for boys, and central and Andean Latin America for girls. By contrast, the rise in BMI has accelerated in east and south Asia for both sexes, and southeast Asia for boys. Global age-standardised prevalence of obesity increased from 0.7% (0.4-1.2) in 1975 to 5.6% (4.8-6.5) in 2016 in girls, and from 0.9% (0.5-1.3) in 1975 to 7.8% (6.7-9.1) in 2016 in boys; the prevalence of moderate and severe underweight decreased from 9.2% (6.0-12.9) in 1975 to 8.4% (6.8-10.1) in 2016 in girls and from 14.8% (10.4-19.5) in 1975 to 12.4% (10.3-14.5) in 2016 in boys. Prevalence of moderate and severe underweight was highest in India, at 22.7% (16.7-29.6) among girls and 30.7% (23.5-38.0) among boys. Prevalence of obesity was more than 30% in girls in Nauru, the Cook Islands, and Palau; and boys in the Cook Islands, Nauru, Palau, Niue, and American Samoa in 2016. Prevalence of obesity was about 20% or more in several countries in Polynesia and Micronesia, the Middle East and north Africa, the Caribbean, and the USA. In 2016, 75 (44-117) million girls and 117 (70-178) million boys worldwide were moderately or severely underweight. In the same year, 50 (24-89) million girls and 74 (39-125) million boys worldwide were obese. Interpretation The rising trends in children's and adolescents' BMI have plateaued in many high-income countries, albeit at high levels, but have accelerated in parts of Asia, with trends no longer correlated with those of adults. 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City, Panama Univ Estadual Paulista, Sao Paulo, Brazil
- Published
- 2017
24. Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19.1 million participants
- Author
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Chronic Diseases, APH - Methodology, ACS - Diabetes & metabolism, ACS - Atherosclerosis & ischemic syndromes, ACS - Heart failure & arrhythmias, Zhou, Bin, Bentham, Jame, Di Cesare, Mariachiara, Bixby, Honor, Danaei, Goodarz, Cowan, Melanie J, Paciorek, Christopher J, Singh, Gitanjali, Hajifathalian, Kaveh, Bennett, James E., Taddei, Cristina, Bilano, Ver, Carrillo-Larco, Rodrigo M, Djalalinia, Shirin, Khatibzadeh, Shahab, Lugero, Charle, Peykari, Niloofar, Zhang, Wan Zhu, Lu, Yuan, Stevens, Gretchen A, Riley, Leanne M, Bovet, Pascal, Elliott, Paul, Gu, Dongfeng, Ikeda, Nayu, Jackson, Rod T., Joffres, Michel, Kengne, Andre Pascal, Laatikainen, Tiina, Lam, Tai Hing, Laxmaiah, Avula, Liu, Jing, Miranda, J Jaime, Mondo, Charles K, Neuhauser, Hannelore K., Sundström, Johan, Smeeth, Liam, Sorić, Maroje, Woodward, Mark, Ezzati, Majid, Abarca-Gómez, Leandra, Abdeen, Ziad A, Rahim, Hanan Abdul, Abu-Rmeileh, Niveen M, Acosta-Cazares, Benjamin, Adams, Robert, Aekplakorn, Wichai, Afsana, Kaosar, 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Han, Cooper, Cyru, Cooper, Rachel, Coppinger, Tara C., Costanzo, Simona, Cottel, Dominique, Cowell, Chri, Craig, Cora L., Crujeiras, Ana B, Cruz, Juan J., D'Arrigo, Graziella, d'Orsi, Eleonora, Dallongeville, Jean, Damasceno, Albertino, Dankner, Rachel, Dantoft, Thomas M., Dauchet, Luc, De Backer, Guy, De Bacquer, Dirk, de Gaetano, Giovanni, De Henauw, Stefaan, De Smedt, Delphine, Deepa, Mohan, Dehghan, Abba, Delisle, Hélène, Deschamps, Valérie, Dhana, Klodian, Di Castelnuovo, Augusto F, Dias-da-Costa, Juvenal Soare, Diaz, Alejandro, Dickerson, Ty T., Do, Ha T.P., Donfrancesco, Chiara, Dobson, Annette J., Donoso, Silvana P., Döring, Angela, Doua, Kouamelan, Drygas, Wojciech, Dulskiene, Virginija, Džakula, Aleksandar, Dzerve, Vilni, Dziankowska-Zaborszczyk, Elzbieta, Ekelund, Ulf, El Ati, Jalila, Ellert, Ute, Elosua, Roberto, Erasmus, Rajiv T, Erem, Cihangir, Eriksen, Louise, Escobedo-de la Peña, Jorge, Evans, Alun, Faeh, David, Fall, Caroline H., Farzadfar, Farshad, Felix-Redondo, Francisco J., Ferguson, Trevor S., Fernández-Bergés, Daniel, Ferrante, Daniel, Ferrari, Marika, Ferreccio, Catterina, Ferrieres, Jean, Finn, Joseph D., Fischer, Krista, Föger, Bernhard, Foo, Leng Huat, Forslund, Ann-Sofie, Forsner, Maria, Fortmann, Stephen P., Fouad, Heba M., Francis, Damian K., do Carmo Franco, Maria, Franco, Oscar H., Frontera, Guillermo, Fuchs, Flavio D., Fuchs, Sandra C, Fujita, Yuki, Furusawa, Takuro, Gaciong, Zbigniew, Gareta, Dickman, Garnett, Sarah P., Gaspoz, Jean-Michel, Gasull, Magda, Gates, Louise, Gavrila, Diana, Geleijnse, Johanna M., Ghasemian, Anoosheh, Ghimire, Anup, Giampaoli, Simona, Gianfagna, Francesco, Giovannelli, Jonathan, Goldsmith, Rebecca A., Gonçalves, Helen, Gross, Marcela Gonzalez, González Rivas, Juan P., Gottrand, Frederic, Graff-Iversen, Sidsel, Grafnetter, Dušan, Grajda, Aneta, Gregor, Ronald D., Grodzicki, Tomasz, Grøntved, Ander, Gruden, Grabriella, Grujic, Vera, Guan, Ong Peng, Gudnason, Vilmundur, Guerrero, Ramiro, Guessous, Idri, 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Mattia, Jonas, Jost B, Jørgensen, Torben, Joshi, Pradeep, Juolevi, Anne, Jurak, Gregor, Jureša, Vesna, Kaaks, Rudolf, Kafatos, Anthony, Kalter-Leibovici, Ofra, Kamaruddin, Nor Azmi, Kasaeian, Amir, Katz, Joanne, Kauhanen, Jussi, Kaur, Prabhdeep, Kavousi, Maryam, Kazakbaeva, Gyulli, Keil, Ulrich, Boker, Lital Keinan, Keinänen-Kiukaanniemi, Sirkka, Kelishadi, Roya, Kemper, Han C G, Kersting, Mathilde, Key, Timothy, Khader, Yousef Saleh, Khalili, Davood, Khang, Young-Ho, Khaw, Kay-Tee, Kiechl, Stefan, Killewo, Japhet, Kim, Jeongseon, Klumbiene, Jurate, Kolle, Elin, Kolsteren, Patrick, Korrovits, Paul, Koskinen, Seppo, Kouda, Katsuyasu, Koziel, Slawomir, Kristensen, Peter Lund, Krokstad, Steinar, Kromhout, Daan, Kruger, Herculina S, Kubinova, Ruzena, Kuciene, Renata, Kuh, Diana, Kujala, Urho M, Kula, Krzysztof, Kulaga, Zbigniew, Krishna Kumar, R., Kurjata, Pawel, Kusuma, Yadlapalli S, Kuulasmaa, Kari, Kyobutungi, Catherine, Lachat, Carl, Landrove, Orlando, Lanska, Vera, Lappas, Georg, Larijani, Bagher, Laugsand, Lars E, Le Nguyen Bao, Khanh, Le, Tuyen D, Leclercq, Catherine, Lee, Jeannette, Lee, Jeonghee, Lehtimäki, Terho, Lekhraj, Rampal, León-Muñoz, Luz M., Levitt, Naomi S, Li, Yanping, Lilly, Christa L, Lim, Wei-Yen, Lima-Costa, M Fernanda, Lin, Hsien-Ho, Lin, Xu, Linneberg, Allan, Lissner, Lauren, Litwin, Mieczyslaw, Lorbeer, Roberto, Lotufo, Paulo A, Lozano, José Eugenio, Luksiene, Dalia, Lundqvist, Annamari, Lunet, Nuno, Lytsy, Per, Ma, Guansheng, Ma, Jun, Machado-Coelho, George L L, Machi, Suka, Maggi, Stefania, Magliano, Dianna J, Majer, Marjeta, Makdisse, Marcia, Malekzadeh, Reza, Malhotra, Rahul, Rao, Kodavanti Mallikharjuna, Malyutina, Sofia, Manios, Yanni, Mann, Jim I, Manzato, Enzo, Margozzini, Paula, Marques-Vidal, Pedro, Marrugat, Jaume, Martorell, Reynaldo, Mathiesen, Ellisiv B, Matijasevich, Alicia, Matsha, Tandi E, Mbanya, Jean Claude N, McDonald Posso, Anselmo J, McFarlane, Shelly R, McGarvey, Stephen T, McLachlan, Stela, McLean, Rachael M, McNulty, Breige A, MdKhir, Amir Sharifuddin, Mediene-Benchekor, Sounnia, Medzioniene, Jurate, Meirhaeghe, Aline, Meisinger, Christa, Menezes, Ana Maria B, Menon, Geetha R, Meshram, Indrapal I, Metspalu, Andre, Mi, Jie, Mikkel, Kairit, Miller, Jody C, Miquel, Juan Francisco, Mišigoj-Durakovic, Marjeta, Mohamed, Mostafa K, Mohammad, Kazem, Mohammadifard, Noushin, Mohan, Viswanathan, Mohd Yusoff, Muhammad Fadhli, Møller, Niels C, Molnár, Déne, Momenan, Amirabba, Monyeki, Kotsedi Daniel K, Moreira, Leila B, Morejon, Alain, Moreno, Luis A, Morgan, Karen, Moschonis, George, Mossakowska, Malgorzata, Mota, Jorge, Mostafa, Aya, Motlagh, Mohammad Esmaeel, Motta, Jorge, Muiesan, Maria L, Müller-Nurasyid, Martina, Murphy, Neil, Mursu, Jaakko, Musil, Vera, Nagel, Gabriele, Naidu, Balkish M, Nakamura, Harunobu, Námešná, Jana, Nang, Ei Ei K, Nangia, Vinay B, Narake, Sameer, Navarrete-Muñoz, Eva Maria, Ndiaye, Ndeye Coumba, Neal, William A, Nenko, Ilona, Nervi, Flavio, Nguyen, Nguyen D, Nguyen, Quang Ngoc, Nieto-Martínez, Ramfis E, Niiranen, Teemu J, Ning, Guang, Ninomiya, Toshiharu, Nishtar, Sania, Noale, Marianna, Noboa, Oscar A., Noorbala, Ahmad Ali, Norat, Teresa, Noto, Davide, Al Nsour, Mohannad, O'Reilly, Dermot, Oh, Kyungwon, Olinto, Maria Teresa A., Oliveira, Isabel O, Omar, Mohd Azahadi, Onat, Altan, Ordunez, Pedro, Osmond, Clive, Ostojic, Sergej M, Otero, Johanna A, Overvad, Kim, Owusu-Dabo, Elli, Paccaud, Fred Michel, Padez, Cristina, Pahomova, Elena, Pajak, Andrzej, Palli, Domenico, Palmieri, Luigi, Panda-Jonas, Songhomitra, Panza, Francesco, Papandreou, Dimitrio, Parnell, Winsome R, Parsaeian, Mahboubeh, Pecin, Ivan, Pednekar, Mangesh S, Peer, Nasheeta, Peeters, Petra H, Peixoto, Sergio Viana, Pelletier, Catherine, Peltonen, Markku, Pereira, Alexandre C, Pérez, Rosa Marina, Peters, Annette, Petkeviciene, Janina, Pham, Son Thai, Pigeot, Iri, Pikhart, Hynek, Pilav, Aida, Pilotto, Lorenza, Pitakaka, Freda, Plans-Rubió, Pedro, Polakowska, Maria, Polašek, Ozren, Porta, Miquel, Portegies, Marileen L.P., Pourshams, Akram, Pradeepa, Rajendra, Prashant, Mathur, Price, Jacqueline F, Puiu, Maria, Punab, Margu, Qasrawi, Radwan F, Qorbani, Mostafa, Radic, Ivana, Radisauskas, Ricarda, Rahman, Mahfuzar, Raitakari, Olli, Raj, Manu, Rao, Sudha Ramachandra, Ramachandran, Ambady, Ramos, Elisabete, Rampal, Sanjay, Rangel Reina, Daniel A, Rasmussen, Finn, Redon, Josep, Reganit, Paul Ferdinand M, Ribeiro, Robespierre, Riboli, Elio, Rigo, Fernando, Rinke de Wit, Tobias F, Ritti-Dias, Raphael M, Robinson, Sian M, Robitaille, Cynthia, Rodríguez-Artalejo, Fernando, del Cristo Rodriguez-Perez, María, Rodríguez-Villamizar, Laura A, Rojas-Martinez, Rosalba, Rosengren, Annika, Rubinstein, Adolfo, Rui, Ornela, Ruiz-Betancourt, Blanca Sandra, Russo Horimoto, Andrea R V, Rutkowski, Marcin, Sabanayagam, Charumathi, Sachdev, Harshpal S, Saidi, Olfa, Sakarya, Sibel, Salanave, Benoit, Martinez, Eduardo Salazar, Salmerón, Diego, Salomaa, Veikko, Salonen, Jukka T, Salvetti, Massimo, Sánchez-Abanto, Jose, Sans, Susana, Santos, Diana, Santos, Ina S, dos Santos, Renata Nune, Santos, Rute, Saramies, Jouko L, Sardinha, Luis B, Margolis, Giselle Sargana, Sarrafzadegan, Nizal, Saum, Kai-Uwe, Savva, Savvas C, Scazufca, Marcia, Schargrodsky, Herman, Schneider, Ione J, Schultsz, Constance, Schutte, Aletta E, Sen, Abhijit, Senbanjo, Idowu O, Sepanlou, Sadaf G, Sharma, Sanjib K, Shaw, Jonathan E, Shibuya, Kenji, Shin, Dong Wook, Shin, Youchan, Siantar, Rosalynn, Sibai, Abla M, Santos Silva, Diego Augusto, Simon, Mary, Simons, Judith, Simons, Leon A, Sjöström, Michael, Skovbjerg, Sine, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemyslaw, Smith, Margaret C, Snijder, Marieke B, So, Hung-Kwan, Sobngwi, Eugène, Söderberg, Stefan, Solfrizzi, Vincenzo, Sonestedt, Emily, Song, Yi, Sørensen, Thorkild I.A., Jérome, Charles Sossa, Soumare, Aicha, Staessen, Jan A, Starc, Gregor, Stathopoulou, Maria G, Stavreski, Bill, Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D, Stergiou, George S, Stessman, Jochanan, Stieber, Jutta, Stöckl, Dori, Stocks, Tanja, Stokwiszewski, Jakub, Stronks, Karien, Strufaldi, Maria Wany, Sun, Chien-An, Sung, Yn-Tz, Suriyawongpaisal, Paibul, Sy, Rody G, Tai, E Shyong, Tammesoo, Mari-Lii, Tamosiunas, Abdona, Tang, Line, Tang, Xun, Tao, Yong, Tanser, Frank, Tarawneh, Mohammed Rasoul, Tarqui-Mamani, Carolina B, Taylor, Anne, Theobald, Holger, Thijs, Lutgarde, Thuesen, Betina H, Tjonneland, Anne, Tolonen, Hanna K, Tolstrup, Janne S, Topbas, Murat, Topór-Madry, Roman, Tormo, María José, Torrent, Matie, Traissac, Pierre, Trichopoulos, Dimitrio, Trichopoulou, Antonia, Trinh, Oanh T H, Trivedi, Atul, Tshepo, Lechaba, Tulloch-Reid, Marshall K, Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Turley, Maria L, Tynelius, Per, Tzourio, Christophe, Ueda, Peter, Ugel, Eunice, Ulmer, Hanno, Uusitalo, Hannu M T, Valdivia, Gonzalo, Valvi, Damaskini, van der Schouw, Yvonne T, Van Herck, Koen, van Rossem, Lenie, van Valkengoed, Irene G.M., Vanderschueren, Dirk, Vanuzzo, Diego, Vatten, Lar, Vega, Toma, Velasquez-Melendez, Gustavo, Veronesi, Giovanni, Verschuren, W M Monique, Verstraeten, Roosmarijn, Victora, Cesar G, Viet, Lucie, Viikari-Juntura, Eira, Vineis, Paolo, Vioque, Jesu, Virtanen, Jyrki K, Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vollenweider, Peter, Voutilainen, Sari, Vrdoljak, Ana, Vrijheid, Martine, Wade, Alisha N, Wagner, Aline, Walton, Janette, Wan Mohamud, Wan Nazaimoon, Wang, Ming-Dong, Wang, Qian, Wang, Ya Xing, Wannamethee, S Goya, Wareham, Nichola, Wederkopp, Niel, Weerasekera, Deepa, Whincup, Peter H, Widhalm, Kurt, Widyahening, Indah S, Wijga, Alet H, Wiecek, Andrzej, Wilks, Rainford J, Willeit, Johann, Willeit, Peter, Williams, Emmanuel A, Wilsgaard, Tom, Wojtyniak, Bogdan, Wong, Tien Yin, Wong-McClure, Roy A, Woo, Jean, Wu, Aleksander Giwercman, Wu, Frederick C., Wu, Shou Ling, Xu, Haiquan, Yan, Weili, Yang, Xiaoguang, Ye, Xingwang, Yiallouros, Panayiotis K, Yoshihara, Akihiro, Younger-Coleman, Novie O, Yusoff, Ahmad F, Yusoff, Muhammad Fadhli M, Zambon, Sabina, Zdrojewski, Tomasz, Zeng, Yi, Zhao, Dong, Zhao, Wenhua, Zheng, Yingffeng, Zimmermann, Esther, Cisneros, Julio Zuñiga, Zhu, Dan, and Eggertsen, Robert
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presión sanguínea ,hypertension ,Settore MED/09 - Medicina Interna ,united-states ,humanos ,Blood Pressure ,systematic analysis ,Global Health ,Risk Factors ,General & Internal Medicine ,Prevalence ,factores de riesgo ,Humans ,secular trends ,cardiovascular risk-factors ,Medicine (all) ,global burden ,prevalencia ,Bayes Theorem ,gender-differences ,purl.org/pe-repo/ocde/ford#3.02.00 [https] ,sodium-intake ,health examination surveys ,low-income ,teorema de Bayes - Abstract
Background Raised blood pressure is an important risk factor for cardiovascular diseases and chronic kidney disease. We estimated worldwide trends in mean systolic and mean diastolic blood pressure, and the prevalence of, and number of people with, raised blood pressure, defined as systolic blood pressure of 140 mm Hg or higher or diastolic blood pressure of 90 mm Hg or higher. Methods For this analysis, we pooled national, subnational, or community population-based studies that had measured blood pressure in adults aged 18 years and older. We used a Bayesian hierarchical model to estimate trends from 1975 to 2015 in mean systolic and mean diastolic blood pressure, and the prevalence of raised blood pressure for 200 countries. We calculated the contributions of changes in prevalence versus population growth and ageing to the increase in the number of adults with raised blood pressure. Findings We pooled 1479 studies that had measured the blood pressures of 19.1 million adults. Global age-standardised mean systolic blood pressure in 2015 was 127.0 mm Hg (95% credible interval 125.7-128.3) in men and 122.3 mm Hg (121.0-123.6) in women; age-standardised mean diastolic blood pressure was 78.7 mm Hg (77.9-79.5) for men and 76.7 mm Hg (75.9-77.6) for women. Global age-standardised prevalence of raised blood pressure was 24.1% (21.4-27.1) in men and 20.1% (17.8-22.5) in women in 2015. Mean systolic and mean diastolic blood pressure decreased substantially from 1975 to 2015 in high-income western and Asia Pacific countries, moving these countries from having some of the highest worldwide blood pressure in 1975 to the lowest in 2015. Mean blood pressure also decreased in women in central and eastern Europe, Latin America and the Caribbean, and, more recently, central Asia, Middle East, and north Africa, but the estimated trends in these super-regions had larger uncertainty than in high-income super-regions. By contrast, mean blood pressure might have increased in east and southeast Asia, south Asia, Oceania, and sub-Saharan Africa. In 2015, central and eastern Europe, sub-Saharan Africa, and south Asia had the highest blood pressure levels. Prevalence of raised blood pressure decreased in high-income and some middle-income countries; it remained unchanged elsewhere. The number of adults with raised blood pressure increased from 594 million in 1975 to 1.13 billion in 2015, with the increase largely in low-income and middle-income countries. The global increase in the number of adults with raised blood pressure is a net effect of increase due to population growth and ageing, and decrease due to declining age-specific prevalence. Interpretation During the past four decades, the highest worldwide blood pressure levels have shifted from high-income countries to low-income countries in south Asia and sub-Saharan Africa due to opposite trends, while blood pressure has been persistently high in central and eastern Europe. Funding Wellcome Trust., Wellcome Trust.
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- 2017
25. 2016 European Guidelines on the Prevention of Cardiovascular Diseases in Clinical Practice Sixth Joint Task Force of the European Society of Cardiology and other Societies on the Prevention of Cardiovascular Diseases in Clinical Practice (consisting of representatives of 10 companies and invited experts) drafted with the extraordinary contribution of the European Association for Cardiovascular Prevention and Rehabilitation (EACPR)
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Piepoli, M, Hoes, A, Agewall, S, Albus, C, Brotons, C, Catapano, A, Cooney, M, Corrà, U, Cosyns, B, Deaton, C, Graham, I, Hall, M, Hobbs, F, Lochen, M, Löllgen, H, Marques-Vidal, P, Perk, J, Prescott, E, Redon, J, Richter, D, Sattar, N, Smulders, Y, Tiberi, M, van der Worp, H, van Dis, I, Verschuren, W, Binno, S, De Backer, G, Roffi, M, Aboyans, V, Bachl, N, Bueno, H, Carerj, S, Cho, L, Cox, J, De Sutter, J, Egidi, G, Fisher, M, Fitzsimons, D, Franco, O, Guenoun, M, Jennings, C, Jug, B, Kirchhof, P, Kotseva, K, Lip, G, Mach, F, Mancia, G, Bermudo, F, Mezzani, A, Niessner, A, Ponikowski, P, Rauch, B, Rydén, L, Stauder, A, Turc, G, Wiklund, O, Windecker, S, Zamorano, J, Piepoli, MF, Hoes, AW, Catapano, AL, Cooney, MT, Hall, MS, Hobbs, FDR, Lochen, ML, Richter, DJ, van der Worp, HB, Verschuren, WMM, Franco, OH, Lip, GYH, Bermudo, FM, Zamorano, JL, Piepoli, M, Hoes, A, Agewall, S, Albus, C, Brotons, C, Catapano, A, Cooney, M, Corrà, U, Cosyns, B, Deaton, C, Graham, I, Hall, M, Hobbs, F, Lochen, M, Löllgen, H, Marques-Vidal, P, Perk, J, Prescott, E, Redon, J, Richter, D, Sattar, N, Smulders, Y, Tiberi, M, van der Worp, H, van Dis, I, Verschuren, W, Binno, S, De Backer, G, Roffi, M, Aboyans, V, Bachl, N, Bueno, H, Carerj, S, Cho, L, Cox, J, De Sutter, J, Egidi, G, Fisher, M, Fitzsimons, D, Franco, O, Guenoun, M, Jennings, C, Jug, B, Kirchhof, P, Kotseva, K, Lip, G, Mach, F, Mancia, G, Bermudo, F, Mezzani, A, Niessner, A, Ponikowski, P, Rauch, B, Rydén, L, Stauder, A, Turc, G, Wiklund, O, Windecker, S, Zamorano, J, Piepoli, MF, Hoes, AW, Catapano, AL, Cooney, MT, Hall, MS, Hobbs, FDR, Lochen, ML, Richter, DJ, van der Worp, HB, Verschuren, WMM, Franco, OH, Lip, GYH, Bermudo, FM, and Zamorano, JL
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- 2017
26. Use of Repeated Blood Pressure and Cholesterol Measurements to Improve Cardiovascular Disease Risk Prediction: An Individual-Participant-Data Meta-Analysis
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Paige, E, Barrett, J, Pennells, L, Sweeting, M, Willeit, P, Di Angelantonio, E, Gudnason, V, Nordestgaard, BG, Psaty, BM, Goldbourt, U, Best, LG, Assmann, G, Salonen, JT, Nietert, PJ, Verschuren, WMM, Brunner, EJ, Kronmal, RA, Salomaa, V, Bakker, SJL, Dagenais, GR, Sato, S, Jansson, JH, Willeit, J, Onat, A, de la Camara, AG, Roussel, R, Volzke, H, Dankner, R, Tipping, RW, Meade, TW, Donfrancesco, C, Kuller, LH, Peters, A, Gallacher, J, Kromhout, D, Iso, H, Knuiman, M, Casiglia, E, Kavousi, Maryam, Palmieri, L, Sundstrom, J, Davis, BR, Njolstad, I, Couper, D, Danesh, J, Thompson, SG, Wood, A, Paige, E, Barrett, J, Pennells, L, Sweeting, M, Willeit, P, Di Angelantonio, E, Gudnason, V, Nordestgaard, BG, Psaty, BM, Goldbourt, U, Best, LG, Assmann, G, Salonen, JT, Nietert, PJ, Verschuren, WMM, Brunner, EJ, Kronmal, RA, Salomaa, V, Bakker, SJL, Dagenais, GR, Sato, S, Jansson, JH, Willeit, J, Onat, A, de la Camara, AG, Roussel, R, Volzke, H, Dankner, R, Tipping, RW, Meade, TW, Donfrancesco, C, Kuller, LH, Peters, A, Gallacher, J, Kromhout, D, Iso, H, Knuiman, M, Casiglia, E, Kavousi, Maryam, Palmieri, L, Sundstrom, J, Davis, BR, Njolstad, I, Couper, D, Danesh, J, Thompson, SG, and Wood, A
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- 2017
27. Erratum: 'European Guidelines on cardiovascular disease prevention in clinical practice (version 2012)' the Fifth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of nine societies and by invited experts)
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Perk, J, De Backer, G, Gohlke, H, Graham, I, Reiner, Z, Verschuren, WMM, Albus, C, Benlian, P, Boysen, G, Cifkova, R, Deaton, C, Ebrahim, S, Fisher, M, Germano, G, Hobbs, R, Hoes, A, Karadeniz, S, Mezzani, A, Prescott, E, Ryden, L, Scherer, M, Syvänne, M, Scholte Op Reimer, WJ, Vrints, C, Wood, D, Zamorano, JL, Zannad, F, Cooney, MT, Bax, J, Baumgartner, H, Ceconi, C, Dean, V, Fagard, R, Funck-Brentano, C, Hasdai, D, Kirchhof, P, Knuuti, J, Kolh, P, McDonagh, T, Moulin, C, Popescu, BA, Reiner, Ž, Sechtem, U, Sirnes, PA, Tendera, M, Torbicki, A, Vahanian, A, Windecker, S, Aboyans, V, Ezquerra, EA, Baigent, C, Brotons, C, Burell, G, Ceriello, A, De Sutter, J, Deckers, J, Del Prato, S, Diener, HC, Fitzsimons, D, Fras, Z, Hambrecht, R, Jankowski, P, Keil, U, Kirby, M, Larsen, ML, Mancia, G, Manolis, AJ, McMurray, J, Pajak, A, Parkhomenko, A, Rallidis, L, Rigo, F, Rocha, E, Ruilope, LM, Van Der Velde, E, Vanuzzo, D, Viigimaa, M, Volpe, M, Wiklund, O, and Wolpert, C
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Clinical Practice ,medicine.medical_specialty ,Rehabilitation ,Cardiovascular prevention ,Task force ,business.industry ,medicine.medical_treatment ,Alternative medicine ,medicine ,Physical therapy ,Disease prevention ,Cardiology and Cardiovascular Medicine ,business - Published
- 2016
28. Worldwide trends in diabetes since 1980 : a pooled analysis of 751 population-based studies with 4.4 million participants
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Zhou, B, Lu, Y, Hajifathalian, K, Bentham, J, Di Cesare, M, Danaei, G, Bixby, H, Cowan, MJ, Ali, MK, Taddei, C, Lo, WC, Reis-Santos, B, Stevens, GA, Riley, LM, Miranda, JJ, Bjerregaard, P, Rivera, JA, Fouad, HM, Ma, GS, Mbanya, JCN, McGarvey, ST, Mohan, V, Onat, A, Ramachandran, A, Ben Romdhane, H, Paciorek, CJ, Bennett, JE, Ezzati, M, Abdeen, ZA, Kadir, KA, Abu-Rmeileh, NM, Acosta-Cazares, B, Adams, R, Aekplakorn, W, Aguilar-Salinas, CA, Agyemang, C, Ahmadvand, A, Al-Othman, AR, Alkerwi, A, Amouyel, P, Amuzu, A, Andersen, LB, Anderssen, SA, Anjana, RM, Aounallah-Skhiri, H, Aris, T, Arlappa, N, Arveiler, D, Assah, FK, Avdicova, M, Azizi, F, Balakrishna, N, Bandosz, P, Barbagallo, CM, Barcelo, A, Batieha, AM, Baur, LA, Benet, M, Bernabe-Ortiz, A, Bharadwaj, S, Bhargava, SK, Bi, YF, Bjertness, E, Bjertness, MB, Bjokelund, C, Blokstra, A, Bo, S, Boehm, BO, Boissonnet, CP, Bovet, P, Brajkovich, I, Breckenkamp, J, Brenner, H, Brewster, LM, Brian, GR, Bruno, G, Bugge, A, de Leon, AC, Can, G, Candido, APC, Capuano, V, Carlsson, AC, Carvalho, MJ, Casanueva, FF, Casas, JP, Caserta, CA, Castetbon, K, Chamukuttan, S, Chaturvedi, N, Chen, CJ, Chen, FF, Chen, SH, Cheng, CY, Chetrit, A, Chiou, ST, Cho, Y, Chudek, J, Cifkova, R, Claessens, F, Concin, H, Cooper, C, Cooper, R, Costanzo, S, Cottel, D, Cowell, C, Crujeiras, AB, D'Arrigo, G, Dallongeville, J, Dankner, R, Dauchet, L, de Gaetano, G, De Henauw, Stefaan, Deepa, M, Dehghan, A, Deschamps, V, Dhana, K, Di Castelnuovo, AF, Djalalinia, S, Doua, K, Drygas, W, Du, Y, Dzerve, V, Egbagbe, EE, Eggertsen, R, El Ati, J, Elosua, R, Erasmus, RT, Erem, C, Ergor, G, Eriksen, L, Escobedo-de la Pena, J, Fall, CH, Farzadfar, F, Felix-Redondo, FJ, Ferguson, TS, Fernandez-Berges, D, Ferrari, M, Ferreccio, C, Feskens, EJM, Finn, JD, Foger, B, Foo, LH, Forslund, AS, Francis, DK, Franco, MD, Franco, OH, Frontera, G, Furusawa, T, Gaciong, Z, Garnett, SP, Gaspoz, JM, Gasull, M, Gates, L, Geleijnse, JM, Ghasemian, A, Ghimire, A, Giampaoli, S, Gianfagna, F, Giovannelli, J, Giwercman, A, Gross, MG, Rivas, JPG, Gorbea, MB, Gottrand, F, Grafnetter, D, Grodzicki, T, Grontved, A, Gruden, G, Gu, DF, Guan, OP, Guerrero, R, Guessous, I, Guimaraes, AL, Gutierrez, L, Hambleton, IR, Hardy, R, Kumar, RH, Hata, J, Heidemann, C, Herrala, S, Hihtaniemi, IT, Ho, SY, Ho, SC, Hofman, A, Hormiga, CM, Horta, BL, Houti, L, Howitt, C, Htay, TT, Htet, AS, Htike, MMT, Hu, Y, Hussieni, AS, Huybrechts, I, Hwalla, N, Iacoviello, L, Iannone, AG, Ibrahim, MM, Ikeda, N, Ikram, MA, Irazola, VE, Islam, M, Iwasaki, M, Jacobs, JM, Jafar, T, Jamil, KM, Jasienska, G, Jiang, CQ, Jonas, JB, Joshi, P, Kafatos, A, Kalter-Leibovici, O, Kasaeian, A, Katz, J, Kaur, P, Kavousi, M, Kelishadi, R, Kengne, AP, Kersting, M, Khader, YS, Khalili, D, Khang, YH, Kiechl, S, Kim, J, Kolsteren, Patrick, Kratzer, W, Kromhout, D, Kujala, UM, Kula, K, Kyobutungi, C, Laatikainen, T, Lachat, Carl, Laid, Y, Lam, TH, Landrove, O, Lanska, V, Lappas, G, Laxmaiah, A, Leclercq, C, Lee, J, Lehtimaki, T, Lekhraj, R, Leon-Munoz, LM, Li, YP, Lim, WY, Lima-Costa, MF, Lin, HH, Lin, X, Lissner, L, Lorbeer, R, Lozano, JE, Luksiene, D, Lundqvist, A, Lytsy, P, Machado-Coelho, GLL, Machi, S, Maggi, S, Magliano, DJ, Makdisse, M, Rao, KM, Manios, Y, Manzato, E, Margozzini, P, Marques-Vidal, P, Martorell, R, Masoodi, SR, Mathiesen, EB, Matsha, TE, McFarlane, SR, McLachlan, S, McNulty, BA, Mediene-Benchekor, S, Meirhaeghe, A, Menezes, AMB, Merat, S, Meshram, II, Mi, J, Miquel, JF, Mohamed, MK, Mohammad, K, Mohammadifard, N, Yusoff, MFM, Moller, NC, Molnar, D, Mondo, CK, Morejon, A, Moreno, LA, Morgan, K, Moschonis, G, Mossakowska, M, Mostafa, A, Mota, J, Motta, J, Mu, TT, Muiesan, ML, Muller-Nurasyid, M, Mursu, J, Nagel, G, Namesna, J, Nang, EEK, Nangia, VB, Navarrete-Munoz, EM, Ndiaye, NC, Nenko, I, Nervi, F, Nguyen, ND, Nguyen, QN, Nieto-Martinez, RSE, Ning, G, Ninomiya, T, Noale, M, Noto, D, Al Nsour, M, Ochoa Avilés, Angélica María, Oh, K, Ordunez, P, Osmond, C, Otero, JA, Owusu-Dabo, E, Pahomova, E, Palmieri, L, Panda-Jonas, S, Panza, F, Parsaeian, M, Peixoto, SV, Peltonen, M, Peters, A, Peykari, N, Pham, ST, Pilav, A, Pitakaka, F, Piwonska, A, Piwonski, J, Plans-Rubio, P, Porta, M, Portegies, MLP, Poustchi, H, Pradeepa, R, Price, JF, Punab, M, Qasrawi, RF, Qorbani, M, Radisauskas, R, Rahman, M, Raitakari, O, Rao, SR, Ramke, J, Ramos, R, Rampal, S, Rathmann, W, Redon, J, Reganit, PFM, Rigo, F, Robinson, SM, Robitaille, C, Rodriguez-Artalejo, F, Rodriguez-Perez, MD, Rodriguez-Villamizar, LA, Rojas-Martinez, R, Ronkainen, K, Rosengren, A, Rubinstein, A, Rui, O, Ruiz-Betancourt, BS, Horimoto, ARVR, Rutkowski, M, Sabanayagam, C, Sachdev, HS, Saidi, O, Sakarya, S, Salanave, B, Salonen, JT, Salvetti, M, Sanchez-Abanto, J, Santos, D, dos Santos, RN, Santos, R, Saramies, JL, Sardinha, LB, Sarrafzadegan, N, Saum, KU, Scazufca, M, Schargrodsky, H, Scheidt-Nave, C, Sein, AA, Sharma, SK, Shaw, JE, Shibuya, K, Shin, Y, Shiri, R, Siantar, R, Sibai, AM, Simon, M, Simons, J, Simons, LA, Sjostrom, M, Slowikowska-Hilczer, J, Slusarczyk, P, Smeeth, L, Snijder, MB, So, HK, Sobngwi, E, Soderberg, S, Solfrizzi, V, Sonestedt, E, Soumare, A, Staessen, JA, Stathopoulou, MG, Steene-Johannessen, J, Stehle, P, Stein, AD, Stessman, J, Stockl, D, Stokwiszewski, J, Stronks, K, Strufaldi, MW, Sun, CA, Sundstrom, J, Sung, YT, Suriyawongpaisal, P, Sy, RG, Tai, ES, Tamosiunas, A, Tang, L, Tarawneh, M, Tarqui-Mamani, CB, Taylor, A, Theobald, H, Thijs, L, Thuesen, BH, Tolonen, HK, Tolstrup, JS, Topbas, M, Torrent, M, Traissac, P, Trinh, OTH, Tulloch-Reid, MK, Tuomainen, TP, Turley, ML, Tzourio, C, Ueda, P, Ukoli, FAM, Ulmer, H, Uusitalo, HMT, Valdivia, G, Valvi, D, van Rossem, L, van Valkengoed, IGM, Vanderschueren, D, Vanuzzo, D, Vega, T, Velasquez-Melendez, G, Veronesi, G, Verschuren, WMM, Verstraeten, R, Viet, L, Vioque, J, Virtanen, JK, Viswanathan, B, Vollenweider, P, Voutilainen, S, Vrijheid, M, Wade, AN, Wagner, A, Walton, J, Mohamud, WNW, Wang, F, Wang, MD, Wang, Q, Wang, YX, Wannamethee, SG, Weerasekera, D, Whincup, PH, Widhalm, K, Wijga, AH, Wilks, RJ, Willeit, J, Wilsgaard, T, Wojtyniak, B, Wong, TY, Woo, J, Woodward, M, Wu, FC, Wu, SL, Xu, HQ, Yan, WL, Yang, XG, Ye, XW, Yoshihara, A, Younger-Coleman, NO, Zambon, S, Zargar, AH, Zdrojewski, T, Zhao, WH, Zheng, YF, and Cisneros, JZ
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BODY-MASS INDEX ,SCIENTIFIC STATEMENT ,Allmänmedicin ,IMPAIRED GLUCOSE-TOLERANCE ,HEALTH EXAMINATION SURVEYS ,CARDIOVASCULAR-DISEASE ,AMERICAN-HEART-ASSOCIATION ,MIDDLE-INCOME COUNTRIES ,LIFE-STYLE INTERVENTION ,General Practice ,Medicine and Health Sciences ,RISK-FACTORS ,SYSTEMATIC ANALYSIS - Abstract
Background One of the global targets for non-communicable diseases is to halt, by 2025, the rise in the age-standardised adult prevalence of diabetes at its 2010 levels. We aimed to estimate worldwide trends in diabetes, how likely it is for countries to achieve the global target, and how changes in prevalence, together with population growth and ageing, are affecting the number of adults with diabetes. Methods We pooled data from population-based studies that had collected data on diabetes through measurement of its biomarkers. We used a Bayesian hierarchical model to estimate trends in diabetes prevalence-defined as fasting plasma glucose of 7.0 mmol/L or higher, or history of diagnosis with diabetes, or use of insulin or oral hypoglycaemic drugs-in 200 countries and territories in 21 regions, by sex and from 1980 to 2014. We also calculated the posterior probability of meeting the global diabetes target if post-2000 trends continue. Findings We used data from 751 studies including 4 372 000 adults from 146 of the 200 countries we make estimates for. Global age-standardised diabetes prevalence increased from 4.3% (95% credible interval 2.4-7.0) in 1980 to 9.0% (7.2-11.1) in 2014 in men, and from 5.0% (2.9-7.9) to 7.9% (6.4-9.7) in women. The number of adults with diabetes in the world increased from 108 million in 1980 to 422 million in 2014 (28.5% due to the rise in prevalence, 39.7% due to population growth and ageing, and 31.8% due to interaction of these two factors). Age-standardised adult diabetes prevalence in 2014 was lowest in northwestern Europe, and highest in Polynesia and Micronesia, at nearly 25%, followed by Melanesia and the Middle East and north Africa. Between 1980 and 2014 there was little change in age-standardised diabetes prevalence in adult women in continental western Europe, although crude prevalence rose because of ageing of the population. By contrast, age-standardised adult prevalence rose by 15 percentage points in men and women in Polynesia and Micronesia. In 2014, American Samoa had the highest national prevalence of diabetes (>30% in both sexes), with age-standardised adult prevalence also higher than 25% in some other islands in Polynesia and Micronesia. If post-2000 trends continue, the probability of meeting the global target of halting the rise in the prevalence of diabetes by 2025 at the 2010 level worldwide is lower than 1% for men and is 1% for women. Only nine countries for men and 29 countries for women, mostly in western Europe, have a 50% or higher probability of meeting the global target. Interpretation Since 1980, age-standardised diabetes prevalence in adults has increased, or at best remained unchanged, in every country. Together with population growth and ageing, this rise has led to a near quadrupling of the number of adults with diabetes worldwide. The burden of diabetes, both in terms of prevalence and number of adults affected, has increased faster in low-income and middle-income countries than in high-income countries. Funding Wellcome Trust.
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- 2016
29. The interleukin-6 receptor as a target for prevention of coronary heart disease: a mendelian randomisation analysis
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John Connolly, John C. Whittaker, Helen Ireland, Hynek Pikhart, Olaf H. Klungel, Claudia Langenberg, Juan P. Casas, Y. van der Graaf, Anne Peasey, Emelia J. Benjamin, Meena Kumari, Nicholas J. Timpson, Růžena Kubínová, P.J. Talmud, Nita G. Forouhi, Verschuren Wmm., KaWah Li, Engmann Jel., C Chung, Tina Shah, Damiano Baldassarre, Mika Kivimäki, Eric J. Brunner, John Hardy, Karoline Kuchenbaecker, Charles B. Eaton, Y. T. van der Schouw, Michael V. Holmes, S. J. Bielinski, Jaroslav A. Hubacek, P. A. Doevendans, Susan Redline, Berta Almoguera Castillo, Westendorp Rgj., Reecha Sofat, Yiran Guo, Leslie A. Lange, Debbie A Lawlor, James G. Wilson, John Gallacher, Richard S. Houlston, Martin Bobak, Maarten Leusink, Andrzej Pajak, George Davey Smith, James F. Meschia, Peter H. Whincup, Rebecca Hardy, Michael Marmot, Jeffrey W. Stephens, Brendan J. Keating, Diana Kuh, Delaney Jac., Mikhail I. Voevoda, N. C. Onland-Moret, Timothy M. Frayling, Hakon Hakonarson, S Bandenelli, Frank Dudbridge, G Jan de Borst, F G Fowkes, Migle Baceviciene, Gordon D.O. Lowe, Gerjan Navis, Alexander P. Reiner, Simon P. Mooijaart, Phil Howard, Boer Jma., Stephen E. Epstein, A. de Boer, Ian Ford, U de Faire, Abdonas Tamosiunas, Malcolm G. Dunlop, AB Singleton, Nicholas J. Wareham, Renate B. Schnabel, Johan Wouter Jukema, Naveed Sattar, Folkert W. Asselbergs, Fotios Drenos, Jutta Palmen, Christina L. Wassel, Sofia Malyutina, Daniel I. Swerdlow, Tetsu Tanaka, Ron T. Gansevoort, Julian Peto, Jenna Price, Bakker Sjl., Ian Tomlinson, Yun Li, Bengt Sennblad, Jackie A. Cooper, Jian'an Luan, Aroon D. Hingorani, JoAnn E. Manson, Roman Pfister, Mailand-van der Zee A-H., I. Mateo Leach, Anders Hamsten, Mike A. Nalls, Yoav Ben-Shlomo, Richard W Morris, Joe Devaney, Marlene C. W. Stewart, P A de Jong, Steve E. Humphries, Roman Topor-Madry, P. van der Harst, Jennifer G. Robinson, Andrew Wong, Luigi Ferrucci, Elena Tremoli, Ioanna Tzoulaki, Mary-Susan Burnett, Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Vascular Ageing Programme (VAP), Groningen Institute for Organ Transplantation (GIOT), Cardiovascular Centre (CVC), Pulmonology, Paediatric Pulmonology, APH - Personalized Medicine, and AII - Inflammatory diseases
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Coronary Disease ,Genome-wide association study ,030204 cardiovascular system & hematology ,PLACEBO-CONTROLLED TRIAL ,Gastroenterology ,chemistry.chemical_compound ,DOUBLE-BLIND ,0302 clinical medicine ,Gene Frequency ,Randomized Controlled Trials as Topic ,0303 health sciences ,biology ,General Medicine ,IL-6 RECEPTOR ,C-REACTIVE PROTEIN ,3. Good health ,SOLUBLE IL-6 ,Phenotype ,Treatment Outcome ,INDIVIDUAL PARTICIPANTS DATA ,Rheumatoid arthritis ,Inflammation Mediators ,Signal Transduction ,musculoskeletal diseases ,medicine.medical_specialty ,Genotype ,Antibodies, Monoclonal, Humanized ,Polymorphism, Single Nucleotide ,03 medical and health sciences ,Tocilizumab ,Internal medicine ,medicine ,Humans ,Allele ,GENOME-WIDE ASSOCIATION ,Interleukin 6 ,Allele frequency ,TOCILIZUMAB ,Genetic Association Studies ,030304 developmental biology ,business.industry ,C-reactive protein ,Genetic Variation ,Odds ratio ,JOINT ANALYSIS ,Mendelian Randomization Analysis ,medicine.disease ,Receptors, Interleukin-6 ,RHEUMATOID-ARTHRITIS ,chemistry ,Immunology ,biology.protein ,business - Abstract
SummaryBackgroundA high circulating concentration of interleukin 6 is associated with increased risk of coronary heart disease. Blockade of the interleukin-6 receptor (IL6R) with a monoclonal antibody (tocilizumab) licensed for treatment of rheumatoid arthritis reduces systemic and articular inflammation. However, whether IL6R blockade also reduces risk of coronary heart disease is unknown.MethodsApplying the mendelian randomisation principle, we used single nucleotide polymorphisms (SNPs) in the gene IL6R to evaluate the likely efficacy and safety of IL6R inhibition for primary prevention of coronary heart disease. We compared genetic findings with the effects of tocilizumab reported in randomised trials in patients with rheumatoid arthritis.FindingsIn 40 studies including up to 133 449 individuals, an IL6R SNP (rs7529229) marking a non-synonymous IL6R variant (rs8192284; p.Asp358Ala) was associated with increased circulating log interleukin-6 concentration (increase per allele 9·45%, 95% CI 8·34–10·57) as well as reduced C-reactive protein (decrease per allele 8·35%, 95% CI 7·31–9·38) and fibrinogen concentrations (decrease per allele 0·85%, 95% CI 0·60–1·10). This pattern of effects was consistent with IL6R blockade from infusions of tocilizumab (4–8 mg/kg every 4 weeks) in patients with rheumatoid arthritis studied in randomised trials. In 25 458 coronary heart disease cases and 100 740 controls, the IL6R rs7529229 SNP was associated with a decreased odds of coronary heart disease events (per allele odds ratio 0·95, 95% CI 0·93–0·97, p=1·53×10−5).InterpretationOn the basis of genetic evidence in human beings, IL6R signalling seems to have a causal role in development of coronary heart disease. IL6R blockade could provide a novel therapeutic approach to prevention of coronary heart disease that warrants testing in suitably powered randomised trials. Genetic studies in populations could be used more widely to help to validate and prioritise novel drug targets or to repurpose existing agents and targets for new therapeutic uses.FundingUK Medical Research Council; British Heart Foundation; Rosetrees Trust; US National Heart, Lung, and Blood Institute; Du Pont Pharma; Chest, Heart and Stroke Scotland; Wellcome Trust; Coronary Thrombosis Trust; Northwick Park Institute for Medical Research; UCLH/UCL Comprehensive Medical Research Centre; US National Institute on Aging; Academy of Finland; Netherlands Organisation for Health Research and Development; SANCO; Dutch Ministry of Public Health, Welfare and Sports; World Cancer Research Fund; Agentschap NL; European Commission; Swedish Heart-Lung Foundation; Swedish Research Council; Strategic Cardiovascular Programme of the Karolinska Institutet; Stockholm County Council; US National Institute of Neurological Disorders and Stroke; MedStar Health Research Institute; GlaxoSmithKline; Dutch Kidney Foundation; US National Institutes of Health; Netherlands Interuniversity Cardiology Institute of the Netherlands; Diabetes UK; European Union Seventh Framework Programme; National Institute for Healthy Ageing; Cancer Research UK; MacArthur Foundation.
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- 2012
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30. Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19.2 million participants
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di Cesare, M, Bentham, J, Stevens, GA, Zhou, B, Danaei, G, Lu, Y (Yi), Bixby, H, Cowan, MJ, Riley, LM, Hajifathalian, K, Fortunato, L, Taddei, C, Bennett, JE, Ikeda, N, Khang, YH, Kyobutungi, C, Laxmaiah, A, Li, YP, Lin, HH, Miranda, JJ, Mostafa, A, Turley, ML, Paciorek, CJ, Gunter, M, Ezzati, M, Abdeen, ZA, Hamid, ZA, Abu-Rmeileh, NM, Acosta-Cazares, B, Adams, R, Aekplakorn, W, Aguilar-Salinas, CA, Ahmadvand, A, Ahrens, W, Ali, MM, Alkerwi, A, Alvarez-Pedrerol, M, Aly, E, Amouyel, P, Amuzu, A, Andersen, LB, Anderssen, SA, Andrade, DS, Anjana, RM, Aounallah-Skhiri, H, Ariansen, I, Aris, T, Arlappa, N, Arveiler, D, Assah, FK, Avdicova, M, Azizi, F, Babu, BV, Balakrishna, N, Bandosz, P, Banegas, JR, Barbagallo, CM, Barcelo, A, Barkat, A, Barros, MV, Bata, I, Batieha, AM, Batista, RL, Baur, LA, Beaglehole, R, Ben Romdhane, H, Benet, M, Bernabe-Ortiz, A, Bernotiene, G, Bettiol, H, Bhagyalaxmi, A, Bharadwaj, S, Bhargava, SK, Bhatti, Z, Bhutta, ZA, Bi, HS, Bi, YF, Bjerregaard, P, Bjertness, E, Bjertness, MB, Bjorkelund, C, Blake, M, Blokstra, A, Bo, S, Bobak, M, Boddy, LM, Boehm, BO, Boeing, H, Boissonnet, CP, Bongard, V, Bovet, P, Braeckman, L, Bragt, MCE, Brajkovich, I, Branca, F, Breckenkamp, J, Brenner, H, Brewster, LM, Brian, GR, Bruno, G, Bueno-de-Mesquita, HB, Bugge, A, Burns, C, de Leon, AC, Cacciottolo, J, Cama, T, Cameron, C, Camolas, J, Can, G, Candido, APC, Capuano, V, Cardoso, VC, Carvalho, MJ, Casanueva, FF, Casas, JP, Caserta, CA, Castetbon, K, Chamukuttan, S, Chan, AW, Chan, Q, Chaturvedi, HK, Chaturvedi, N, Chen, CJ, Chen, FF, Chen, HS, Chen, SH, Chen, ZM, Cheng, CY (Ching-Yu), Chetrit, A, Chiolero, A, Chiou, ST, Chirita-Emandi, A, Cho, Y, Christensen, K, Chudek, J, Cifkova, R, Claessens, F, Clays, E, Concin, H, Cooper, C, Cooper, R, Coppinger, TC, Costanzo, S, Cottel, D, Cowell, C, Craig, CL, Crujeiras, AB, D'Arrigo, G, d'Orsi, E, Dallongeville, J, Damasceno, A, Damsgaard, CT, Danaei, GG, Dankner, R, Dauchet, L, de Backer, G, De Bacquer, D, de Gaetano, G, de Henauw, S, De Smedt, D, Deepa, M, Deev, AD, Dehghan, Abbas, Delisle, H, Delpeuch, F, Dhana, K, di Castelnuovo, AF, Dias-Da-Costa, JS, Diaz, A, Djalalinia, S, Do, HTP, Dobson, AJ, Donfrancesco, C, Doring, A, Doua, K, Drygas, W, Egbagbe, EE, Eggertsen, R, Ekelund, U, El Ati, J, Elliott, P, Engle-Stone, R, Erasmus, RT, Erem, C, Eriksen, L, Escobedo-de la Pena, J, Evans, A, Faeh, D, Fall, CH, Farzadfar, F, Felix-Redondo, FJ, Ferguson, TS, Fernandez-Berges, D, Ferrante, D, Ferrari, M, Ferreccio, C, Ferrieres, J, Finn, JD, Fischer, K, Flores, EM, Foger, B, Foo, LH, Forslund, AS, Fortmann, SP, Fouad, HM, Francis, DK, Franco, MD, Franco Duran, OH, Frontera, G, Fuchs, FD, Fuchs, SC, Fujita, Y, Furusawa, T, Gaciong, Z, Gafencu, M, Gareta, D, Garnett, SP, Gaspoz, JM, Gasull, M, Gates, L, Geleijnse, JM, Ghasemian, A, Giampaoli, S, Gianfagna, F, Giovannelli, J, Giwercman, A, Goldsmith, RA, Gross, MG, Rivas, JPG, Gorbea, MB, Gottrand, F, Iversen, SG, Grafnetter, D, Grajda, A, Grammatikopoulou, MG, Gregor, RD, Grodzicki, T, Grontved, A, Gruden, G, Grujic, V, Gu, DF, Guan, OP, Gudnason, V, Guerrero, R, Guessous, I, Guimaraes, AL, Gulliford, MC, Gunnlaugsdottir, J, Guo, XH, Guo, Y, Gupta, PC, Gureje, O, Gurzkowska, B, Gutierrez, L, Gutzwiller, F, Halkjaer, J, Hardy, R, Kumar, RH, Hayes, AJ, He, J, Hendriks, ME, Cadena, LH, Heshmat, R, Hihtaniemi, IT, Ho, SY, Ho, SC, Hobbs, M, Hofman, Bert, Hormiga, CM, Horta, BL, Houti, L, Htay, TT, Htet, AS, Htike, MMT, Hu, YH, Hussieni, AS, Huu, CN, Huybrechts, I, Hwalla, N, Iacoviello, L, Iannone, AG, Ibrahim, MM, Ikram, Arfan, Irazola, VE, Islam, M, Iwasaki, M, Jackson, RT, Jacobs, JM, Jafar, T, Jamil, KM, Jamrozik, K, Jasienska, G, Jiang, CQ, Joffres, M, Johansson, M, Jonas, JB, Jorgensen, T, Joshi, P, Juolevi, A, Jurak, G, Juresa, V, Kaaks, R, Kafatos, A, Kalter-Leibovici, O, Kapantais, E, Kasaeian, A, Katz, J, Kaur, P, Kavousi, Maryam, Keil, U, Boker, LK, Kelishadi, R, Kemper, H, Kengne, AP, Kersting, M, Key, T, Khader, YS, Khalili, D, Khaw, KTH, Khouw, I, Kiechl, S, Killewo, J, Kim, J, Kiyohara, Y, Klimont, J, Kolle, E, Kolsteren, P, Korrovits, P, Koskinen, S, Kouda, K, Koziel, S, Kratzer, W, Krokstad, S, Kromhout, D, Kruger, HS, Kula, K, Kulaga, Z, Kumar, RK, Kusuma, YS, Kuulasmaa, K, Laamiri, FZ, Laatikainen, T, Lachat, C, Laid, Y, Lam, TH, Landrove, O, Lanska, V, Lappas, G, Laugsand, L E, Bao, KLN, Le, TD, Leclercq, C, Lee, J, Lee, JJ, Lehtimaki, T, Lekhraj, R, Leon-Munoz, LM, Lim, WY, Lima-Costa, MF, Lin, X, Linneberg, A, Lissner, L, Litwin, M, Liu, J (Jingjing), Lorbeer, R, Lotufo, PA, Lozano, JE, Luksiene, D, Lundqvist, A, Lunet, N, Lytsy, P, Ma, GS, Machi, S, Maggi, S, Magliano, DJ, Makdisse, M, Malekzadeh, R, Malhotra, R (Rahul), Rao, KM, Manios, Y, Mann, JI, Manzato, E, Margozzini, P, Markey, O, Marques-Vidal, P, Marrugat, J, Martin-Prevel, Y, Martorell, R, Masoodi, SR, Matsha, TE, Mazur, A, Mbanya, JCN, McFarlane, SR, McGarvey, ST, McKee, M, McLachlan, S, McLean, RM, McNulty, BA, Yusof, SM, Mediene-Benchekor, S, Meirhaeghe, A, Meisinger, C, Mendes, LL, Menezes, AMB, Mensink, GBM, Meshram, II, Metspalu, A, Mi, J, Michaelsen, KF, Mikkel, K, Miller, JC, Miquel, JF, Misigoj-Durakovic, M, Mohamed, MK, Mohammad, K, Mohammadifard, N, Mohan, V, Yusoff, MFM, Molbo, D, Moller, NC, Molnar, D, Mondo, CK, Monterrubio, EA, Monyeki, KDK, Moreira, LB, Morejon, A, Moreno, LA, Morgan, K, Mortensen, EL, Moschonis, G, Mossakowska, M, Mota, J, Motlagh, ME, Motta, J, Mu, TT, Muiesan, ML, Muller-Nurasyid, M, Murphy, N, Mursu, J, Murtagh, EM, Musa, KI, Musil, V, Nagel, G, Nakamura, H, Namesna, J, Nang, EEK, Nangia, VB, Nankap, M, Narake, S, Navarrete-Munoz, EM, Nenko, I, Neovius, M, Nervi, F, Neuhauser, HK, Nguyen, ND, Nguyen, QN, Nieto-Martinez, RE, Ning, G, Ninomiya, T, Nishtar, S, Noale, M, Norat, T, Noto, D, Al Nsour, M, O'Reilly, D, Ochoa-Aviles, AM, Oh, K, Olayan, IH, Olinto, MTA, Oltarzewski, M, Omar, MA, Onat, A, Ordunez, P, Ortiz, AP, Osler, M, Osmond, C, Ostojic, SM, Otero, JA, Overvad, K, Paccaud, FM, Padez, C, Pajak, A, Palli, D, Palloni, A, Palmieri, L, Panda-Jonas, S, Panza, F, Parnell, WR, Parsaeian, M, Pednekar, MS, Peeters, PH, Peixoto, SV, Pereira, AC, Perez, CM (Cynthia), Peters, A, Peykari, N, Pham, ST, Pigeot, I, Pikhart, H, Pilav, A, Pilotto, L, Pistelli, F, Pitakaka, F, Piwonska, A, Piwonski, J, Plans-Rubio, P, Poh, BK, Porta, M, Portegies, Marileen, Poulimeneas, D, Pradeepa, R, Prashant, M, Price, JF, Puiu, M, Punab, M, Qasrawi, RF, Qorbani, M, Bao, TQ, Radic, I, Radisauskas, R, Rahman, M, Raitakari, O, Raj, M, Rao, SR, Ramachandran, A, Ramke, J, Ramos, R, Rampal, S, Rasmussen, F, Redon, J, Reganit, PFM, Ribeiro, R, Riboli, E, Rigo, F, de Wit, TFR, Ritti-Dias, RM, Rivera, JA, Robinson, SM, Robitaille, C, Rodriguez-Artalejo, F, Rodriguez-Perez, MD, Rodriguez-Villamizar, LA, Rojas-Martinez, R, Rojroongwasinkul, N, Romaguera, D, Ronkainen, K, Rosengren, A, Rouse, I, Rubinstein, A, Ruhli, FJ, Rui, O, Ruiz-Betancourt, BS, Horimoto, A, Rutkowski, M, Sabanayagam, C, Sachdev, HS, Saidi, O, Salanave, B, Martinez, ES, Salomaa, V, Salonen, JT, Salvetti, M, Sanchez-Abanto, J, Sandjaja, Sans, S, Santos, DA, Santos, O, dos Santos, RN, dos Santos, R, Sardinha, LB, Sarrafzadegan, N, Saum, KU, Savva, SC, Scazufca, M, Rosario, AS, Schargrodsky, H, Schienkiewitz, A, Schmidt, IM, Schneider, IJ, Schultsz, C, Schutte, A, Sein, AA, Senbanjo, IO, Sepanlou, SG, Shalnova, SA, Shaw, JE, Shibuya, K, Shin, YC, Shiri, R, Siantar, R, Sibai, AM, Silva, AM, Silva, DAS, Simon, M, Simons, J, Simons, LA, Sjostrom, M, Slowikowska-Hilczer, J, Slusarczyk, P, Smeeth, L, Smith, MC, Snijder, MB, So, HK, Sobngwi, E, Soderberg, S, Soekatri, MYE, Solfrizzi, V, Sonestedt, E, Sorensen, TIA, Soric, M, Jerome, CS, Soumare, A, Staessen, JA, Starc, G, Stathopoulou, MG, Staub, K, Stavreski, B, Steene-Johannessen, J, Stehle, P, Stein, AD, Stergiou, GS, Stessman, J, Stieber, J, Stockl, D, Stocks, T, Stokwiszewski, J, Stratton, G, Strufaldi, MW, Sun, CA, Sundstrom, J, Sung, YT, Sunyer, J, Suriyawongpaisal, P, Swinburn, BA, Sy, RG, Szponar, L, Tai, ES, Tammesoo, ML, Tamosiunas, A, Tang, L, Tang, X, Tanser, F, Tao, Y, Tarp, J, Tarqui-Mamani, CB, Taylor, A, Tchibindat, F, Thijs, L, Thuesen, B H, Tjonneland, A, Tolonen, HK, Tolstrup, JS, Topbas, M, Topor-Madry, R, Torrent, M, Traissac, P, Trichopoulou, A, Trichopoulos, D, Trinh, OTH, Trivedi, A, Tshepo, L, Tulloch-Reid, MK, Tuomainen, TP, Tuomilehto, J, Tynelius, P, Tzotzas, T, Tzourio, C, Ueda, P, Ukoli, FAM, Ulmer, H, Unal, B, Valdivia, G, Vale, S, Valvi, D, van der Schouw, YT, Van Herck, K, Minh, HV, van Valkengoed, IGM, Vanderschueren, D, Vanuzzo, D, Vatten, L, Vega, T, Velasquez-Melendez, G, Veronesi, G, Verschuren, WMM, Viegi, G, Viet, L, Viikari-Juntura, E, Vineis, P, Vioque, J, Virtanen, JK, Visvikis-Siest, S, Viswanathan, B, Vollenweider, P, Voutilainen, S, Vrijheid, M, Wade, AN, Wagner, A, Walton, J, Mohamud, WNW, Wang, MD, Wang, Q, Wang, YX, Wannamethee, SG, Wareham, N, Weerasekera, D, Whincup, PH, Widhalm, K, Widyahening, IS, Wiecek, A, Wilks, RJ, Willeit, J, Wojtyniak, B, Wong, JE, Wong, TY, Woo, J, Woodward, M, Wu, FC, Wu, JF, Wu, SL, Xu, HQ, Xu, L, Yamborisut, U, Yan, WL, Yang, XG, Yardim, N, Ye, XW, Yiallouros, PK, Yoshihara, A, You, QS, Younger-Coleman, NO, Yusoff, AF, Zainuddin, AA, Zambon, S, Zdrojewski, T, Zeng, Yaping, Zhao, D (Dan), Zhao, WH, Zheng, YF, Zhou, MG, Zhu, D, Zimmermann, E, Cisneros, JZ, di Cesare, M, Bentham, J, Stevens, GA, Zhou, B, Danaei, G, Lu, Y (Yi), Bixby, H, Cowan, MJ, Riley, LM, Hajifathalian, K, Fortunato, L, Taddei, C, Bennett, JE, Ikeda, N, Khang, YH, Kyobutungi, C, Laxmaiah, A, Li, YP, Lin, HH, Miranda, JJ, Mostafa, A, Turley, ML, Paciorek, CJ, Gunter, M, Ezzati, M, Abdeen, ZA, Hamid, ZA, Abu-Rmeileh, NM, Acosta-Cazares, B, Adams, R, Aekplakorn, W, Aguilar-Salinas, CA, Ahmadvand, A, Ahrens, W, Ali, MM, Alkerwi, A, Alvarez-Pedrerol, M, Aly, E, Amouyel, P, Amuzu, A, Andersen, LB, Anderssen, SA, Andrade, DS, Anjana, RM, Aounallah-Skhiri, H, Ariansen, I, Aris, T, Arlappa, N, Arveiler, D, Assah, FK, Avdicova, M, Azizi, F, Babu, BV, Balakrishna, N, Bandosz, P, Banegas, JR, Barbagallo, CM, Barcelo, A, Barkat, A, Barros, MV, Bata, I, Batieha, AM, Batista, RL, Baur, LA, Beaglehole, R, Ben Romdhane, H, Benet, M, Bernabe-Ortiz, A, Bernotiene, G, Bettiol, H, Bhagyalaxmi, A, Bharadwaj, S, Bhargava, SK, Bhatti, Z, Bhutta, ZA, Bi, HS, Bi, YF, Bjerregaard, P, Bjertness, E, Bjertness, MB, Bjorkelund, C, Blake, M, Blokstra, A, Bo, S, Bobak, M, Boddy, LM, Boehm, BO, Boeing, H, Boissonnet, CP, Bongard, V, Bovet, P, Braeckman, L, Bragt, MCE, Brajkovich, I, Branca, F, Breckenkamp, J, Brenner, H, Brewster, LM, Brian, GR, Bruno, G, Bueno-de-Mesquita, HB, Bugge, A, Burns, C, de Leon, AC, Cacciottolo, J, Cama, T, Cameron, C, Camolas, J, Can, G, Candido, APC, Capuano, V, Cardoso, VC, Carvalho, MJ, Casanueva, FF, Casas, JP, Caserta, CA, Castetbon, K, Chamukuttan, S, Chan, AW, Chan, Q, Chaturvedi, HK, Chaturvedi, N, Chen, CJ, Chen, FF, Chen, HS, Chen, SH, Chen, ZM, Cheng, CY (Ching-Yu), Chetrit, A, Chiolero, A, Chiou, ST, Chirita-Emandi, A, Cho, Y, Christensen, K, Chudek, J, Cifkova, R, Claessens, F, Clays, E, Concin, H, Cooper, C, Cooper, R, Coppinger, TC, Costanzo, S, Cottel, D, Cowell, C, Craig, CL, Crujeiras, AB, D'Arrigo, G, d'Orsi, E, Dallongeville, J, Damasceno, A, Damsgaard, CT, Danaei, GG, Dankner, R, Dauchet, L, de Backer, G, De Bacquer, D, de Gaetano, G, de Henauw, S, De Smedt, D, Deepa, M, Deev, AD, Dehghan, Abbas, Delisle, H, Delpeuch, F, Dhana, K, di Castelnuovo, AF, Dias-Da-Costa, JS, Diaz, A, Djalalinia, S, Do, HTP, Dobson, AJ, Donfrancesco, C, Doring, A, Doua, K, Drygas, W, Egbagbe, EE, Eggertsen, R, Ekelund, U, El Ati, J, Elliott, P, Engle-Stone, R, Erasmus, RT, Erem, C, Eriksen, L, Escobedo-de la Pena, J, Evans, A, Faeh, D, Fall, CH, Farzadfar, F, Felix-Redondo, FJ, Ferguson, TS, Fernandez-Berges, D, Ferrante, D, Ferrari, M, Ferreccio, C, Ferrieres, J, Finn, JD, Fischer, K, Flores, EM, Foger, B, Foo, LH, Forslund, AS, Fortmann, SP, Fouad, HM, Francis, DK, Franco, MD, Franco Duran, OH, Frontera, G, Fuchs, FD, Fuchs, SC, Fujita, Y, Furusawa, T, Gaciong, Z, Gafencu, M, Gareta, D, Garnett, SP, Gaspoz, JM, Gasull, M, Gates, L, Geleijnse, JM, Ghasemian, A, Giampaoli, S, Gianfagna, F, Giovannelli, J, Giwercman, A, Goldsmith, RA, Gross, MG, Rivas, JPG, Gorbea, MB, Gottrand, F, Iversen, SG, Grafnetter, D, Grajda, A, Grammatikopoulou, MG, Gregor, RD, Grodzicki, T, Grontved, A, Gruden, G, Grujic, V, Gu, DF, Guan, OP, Gudnason, V, Guerrero, R, Guessous, I, Guimaraes, AL, Gulliford, MC, Gunnlaugsdottir, J, Guo, XH, Guo, Y, Gupta, PC, Gureje, O, Gurzkowska, B, Gutierrez, L, Gutzwiller, F, Halkjaer, J, Hardy, R, Kumar, RH, Hayes, AJ, He, J, Hendriks, ME, Cadena, LH, Heshmat, R, Hihtaniemi, IT, Ho, SY, Ho, SC, Hobbs, M, Hofman, Bert, Hormiga, CM, Horta, BL, Houti, L, Htay, TT, Htet, AS, Htike, MMT, Hu, YH, Hussieni, AS, Huu, CN, Huybrechts, I, Hwalla, N, Iacoviello, L, Iannone, AG, Ibrahim, MM, Ikram, Arfan, Irazola, VE, Islam, M, Iwasaki, M, Jackson, RT, Jacobs, JM, Jafar, T, Jamil, KM, Jamrozik, K, Jasienska, G, Jiang, CQ, Joffres, M, Johansson, M, Jonas, JB, Jorgensen, T, Joshi, P, Juolevi, A, Jurak, G, Juresa, V, Kaaks, R, Kafatos, A, Kalter-Leibovici, O, Kapantais, E, Kasaeian, A, Katz, J, Kaur, P, Kavousi, Maryam, Keil, U, Boker, LK, Kelishadi, R, Kemper, H, Kengne, AP, Kersting, M, Key, T, Khader, YS, Khalili, D, Khaw, KTH, Khouw, I, Kiechl, S, Killewo, J, Kim, J, Kiyohara, Y, Klimont, J, Kolle, E, Kolsteren, P, Korrovits, P, Koskinen, S, Kouda, K, Koziel, S, Kratzer, W, Krokstad, S, Kromhout, D, Kruger, HS, Kula, K, Kulaga, Z, Kumar, RK, Kusuma, YS, Kuulasmaa, K, Laamiri, FZ, Laatikainen, T, Lachat, C, Laid, Y, Lam, TH, Landrove, O, Lanska, V, Lappas, G, Laugsand, L E, Bao, KLN, Le, TD, Leclercq, C, Lee, J, Lee, JJ, Lehtimaki, T, Lekhraj, R, Leon-Munoz, LM, Lim, WY, Lima-Costa, MF, Lin, X, Linneberg, A, Lissner, L, Litwin, M, Liu, J (Jingjing), Lorbeer, R, Lotufo, PA, Lozano, JE, Luksiene, D, Lundqvist, A, Lunet, N, Lytsy, P, Ma, GS, Machi, S, Maggi, S, Magliano, DJ, Makdisse, M, Malekzadeh, R, Malhotra, R (Rahul), Rao, KM, Manios, Y, Mann, JI, Manzato, E, Margozzini, P, Markey, O, Marques-Vidal, P, Marrugat, J, Martin-Prevel, Y, Martorell, R, Masoodi, SR, Matsha, TE, Mazur, A, Mbanya, JCN, McFarlane, SR, McGarvey, ST, McKee, M, McLachlan, S, McLean, RM, McNulty, BA, Yusof, SM, Mediene-Benchekor, S, Meirhaeghe, A, Meisinger, C, Mendes, LL, Menezes, AMB, Mensink, GBM, Meshram, II, Metspalu, A, Mi, J, Michaelsen, KF, Mikkel, K, Miller, JC, Miquel, JF, Misigoj-Durakovic, M, Mohamed, MK, Mohammad, K, Mohammadifard, N, Mohan, V, Yusoff, MFM, Molbo, D, Moller, NC, Molnar, D, Mondo, CK, Monterrubio, EA, Monyeki, KDK, Moreira, LB, Morejon, A, Moreno, LA, Morgan, K, Mortensen, EL, Moschonis, G, Mossakowska, M, Mota, J, Motlagh, ME, Motta, J, Mu, TT, Muiesan, ML, Muller-Nurasyid, M, Murphy, N, Mursu, J, Murtagh, EM, Musa, KI, Musil, V, Nagel, G, Nakamura, H, Namesna, J, Nang, EEK, Nangia, VB, Nankap, M, Narake, S, Navarrete-Munoz, EM, Nenko, I, Neovius, M, Nervi, F, Neuhauser, HK, Nguyen, ND, Nguyen, QN, Nieto-Martinez, RE, Ning, G, Ninomiya, T, Nishtar, S, Noale, M, Norat, T, Noto, D, Al Nsour, M, O'Reilly, D, Ochoa-Aviles, AM, Oh, K, Olayan, IH, Olinto, MTA, Oltarzewski, M, Omar, MA, Onat, A, Ordunez, P, Ortiz, AP, Osler, M, Osmond, C, Ostojic, SM, Otero, JA, Overvad, K, Paccaud, FM, Padez, C, Pajak, A, Palli, D, Palloni, A, Palmieri, L, Panda-Jonas, S, Panza, F, Parnell, WR, Parsaeian, M, Pednekar, MS, Peeters, PH, Peixoto, SV, Pereira, AC, Perez, CM (Cynthia), Peters, A, Peykari, N, Pham, ST, Pigeot, I, Pikhart, H, Pilav, A, Pilotto, L, Pistelli, F, Pitakaka, F, Piwonska, A, Piwonski, J, Plans-Rubio, P, Poh, BK, Porta, M, Portegies, Marileen, Poulimeneas, D, Pradeepa, R, Prashant, M, Price, JF, Puiu, M, Punab, M, Qasrawi, RF, Qorbani, M, Bao, TQ, Radic, I, Radisauskas, R, Rahman, M, Raitakari, O, Raj, M, Rao, SR, Ramachandran, A, Ramke, J, Ramos, R, Rampal, S, Rasmussen, F, Redon, J, Reganit, PFM, Ribeiro, R, Riboli, E, Rigo, F, de Wit, TFR, Ritti-Dias, RM, Rivera, JA, Robinson, SM, Robitaille, C, Rodriguez-Artalejo, F, Rodriguez-Perez, MD, Rodriguez-Villamizar, LA, Rojas-Martinez, R, Rojroongwasinkul, N, Romaguera, D, Ronkainen, K, Rosengren, A, Rouse, I, Rubinstein, A, Ruhli, FJ, Rui, O, Ruiz-Betancourt, BS, Horimoto, A, Rutkowski, M, Sabanayagam, C, Sachdev, HS, Saidi, O, Salanave, B, Martinez, ES, Salomaa, V, Salonen, JT, Salvetti, M, Sanchez-Abanto, J, Sandjaja, Sans, S, Santos, DA, Santos, O, dos Santos, RN, dos Santos, R, Sardinha, LB, Sarrafzadegan, N, Saum, KU, Savva, SC, Scazufca, M, Rosario, AS, Schargrodsky, H, Schienkiewitz, A, Schmidt, IM, Schneider, IJ, Schultsz, C, Schutte, A, Sein, AA, Senbanjo, IO, Sepanlou, SG, Shalnova, SA, Shaw, JE, Shibuya, K, Shin, YC, Shiri, R, Siantar, R, Sibai, AM, Silva, AM, Silva, DAS, Simon, M, Simons, J, Simons, LA, Sjostrom, M, Slowikowska-Hilczer, J, Slusarczyk, P, Smeeth, L, Smith, MC, Snijder, MB, So, HK, Sobngwi, E, Soderberg, S, Soekatri, MYE, Solfrizzi, V, Sonestedt, E, Sorensen, TIA, Soric, M, Jerome, CS, Soumare, A, Staessen, JA, Starc, G, Stathopoulou, MG, Staub, K, Stavreski, B, Steene-Johannessen, J, Stehle, P, Stein, AD, Stergiou, GS, Stessman, J, Stieber, J, Stockl, D, Stocks, T, Stokwiszewski, J, Stratton, G, Strufaldi, MW, Sun, CA, Sundstrom, J, Sung, YT, Sunyer, J, Suriyawongpaisal, P, Swinburn, BA, Sy, RG, Szponar, L, Tai, ES, Tammesoo, ML, Tamosiunas, A, Tang, L, Tang, X, Tanser, F, Tao, Y, Tarp, J, Tarqui-Mamani, CB, Taylor, A, Tchibindat, F, Thijs, L, Thuesen, B H, Tjonneland, A, Tolonen, HK, Tolstrup, JS, Topbas, M, Topor-Madry, R, Torrent, M, Traissac, P, Trichopoulou, A, Trichopoulos, D, Trinh, OTH, Trivedi, A, Tshepo, L, Tulloch-Reid, MK, Tuomainen, TP, Tuomilehto, J, Tynelius, P, Tzotzas, T, Tzourio, C, Ueda, P, Ukoli, FAM, Ulmer, H, Unal, B, Valdivia, G, Vale, S, Valvi, D, van der Schouw, YT, Van Herck, K, Minh, HV, van Valkengoed, IGM, Vanderschueren, D, Vanuzzo, D, Vatten, L, Vega, T, Velasquez-Melendez, G, Veronesi, G, Verschuren, WMM, Viegi, G, Viet, L, Viikari-Juntura, E, Vineis, P, Vioque, J, Virtanen, JK, Visvikis-Siest, S, Viswanathan, B, Vollenweider, P, Voutilainen, S, Vrijheid, M, Wade, AN, Wagner, A, Walton, J, Mohamud, WNW, Wang, MD, Wang, Q, Wang, YX, Wannamethee, SG, Wareham, N, Weerasekera, D, Whincup, PH, Widhalm, K, Widyahening, IS, Wiecek, A, Wilks, RJ, Willeit, J, Wojtyniak, B, Wong, JE, Wong, TY, Woo, J, Woodward, M, Wu, FC, Wu, JF, Wu, SL, Xu, HQ, Xu, L, Yamborisut, U, Yan, WL, Yang, XG, Yardim, N, Ye, XW, Yiallouros, PK, Yoshihara, A, You, QS, Younger-Coleman, NO, Yusoff, AF, Zainuddin, AA, Zambon, S, Zdrojewski, T, Zeng, Yaping, Zhao, D (Dan), Zhao, WH, Zheng, YF, Zhou, MG, Zhu, D, Zimmermann, E, and Cisneros, JZ
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- 2016
31. Back to the basics of ovarian aging: a population-based study on longitudinal anti-Mullerian hormone decline
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de Kat, AC, van der Schouw, YT, Eijkemans, MJC, Herber-Gast, G C, Visser, Jenny, Verschuren, WMM, Broekmans, FJM, de Kat, AC, van der Schouw, YT, Eijkemans, MJC, Herber-Gast, G C, Visser, Jenny, Verschuren, WMM, and Broekmans, FJM
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- 2016
32. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data
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Holmes, MV, Dale, CE, Zuccolo, L, Silverwood, RJ, Guo, Y, Ye, Z, Prieto-Merino, D, Dehghan, Abbas, Trompet, S, Wong, A, Cavadino, A, Drogan, D, Padmanabhan, S, Li, Shan, Yesupriya, A, Leusink, M, Sundstrom, J, Hubacek, JA, Pikhart, H, Swerdlow, DI, Panayiotou, AG, Borinskaya, SA, Finan, C, Shah, S, Kuchenbaecker, KB, Shah, T, Engmann, J, Folkersen, L, Eriksson, P, Ricceri, F, Melander, O, Sacerdote, C, Gamble, DM, Rayaprolu, S, Ross, OA, McLachlan, S, Vikhireva, O, Sluijs, Iris, Scott, RA, Adamkova, V, Flicker, L, van Bockxmeer, FM, Power, C, Marques-Vidal, P, Meade, T, Marmot, MG, Ferro, JM, Paulos-Pinheiro, S, Humphries, SE, Talmud, PJ, Leach, IM, Verweij, N (Niek), Linneberg, A, Skaaby, T, Doevendans, PA, Cramer, MJ, van der Harst, P, Klungel, OH, Dowling, NF, Dominiczak, AF, Kumari, M, Nicolaides, AN, Weikert, C, Boeing, H, Ebrahim, S, Gaunt, TR, Price, JF, Lannfelt, L, Peasey, A, Kubinova, R, Pajak, A, Malyutina, S, Voevoda, MI, Tamosiunas, A, Zee, AH, Norman, PE, Hankey, GJ, Bergmann, MM, Hofman, Bert, Franco Duran, OH, Cooper, J, Palmen, J, Spiering, W, Jong, PA, Kuh, D, Hardy, R, Uitterlinden, André, Ikram, Arfan, Ford, I, Hyppoenen, E, Almeida, OP, Wareham, NJ, Khaw, KT, Hamsten, A, Husemoen, LLN, Tjonneland, A, Tolstrup, JS, Rimm, E, Beulens, JWJ, Verschuren, WMM, Onland-Moret, NC, Hofker, MH, Wannamethee, SG, Whincup, PH, Morris, R, Vicente, AM, Watkins, H, Farrall, M, Jukema, JW, Meschia, J, Cupples, LA, Sharp, SJ, Fornage, M, Kooperberg, C, Lacroix, AZ, Dai, JY, Lanktree, MB, Siscovick, DS, Jorgenson, E, Spring, B, Coresh, J, Li, YR, Buxbaum, SG, Schreiner, PJ, Ellison, RC, Tsai, MY, Patel, SR, Redline, S, Johnson, AD, Hoogeveen, RC, Rotter, JI, Boerwinkle, E, de Bakker, PIW, Kivimaki, M, Asselbergs, FW, Sattar, N, Lawlor, DA, Whittaker, J, Smith, GD, Mukamal, K, Psaty, BM, Wilson, JG, Lange, LA, Hamidovic, A, Hingorani, AD, Nordestgaard, BG, Bobak, M, Leon, DA, Langenberg, C, Palmer, TM, Reiner, AP, Keating, BJ, Dudbridge, F, Casas, JP, Sub Pharmacotherapy, Theoretical, Pharmacoepidemiology and Clinical Pharmacology, Clinical Genetics, Epidemiology, Erasmus MC other, Internal Medicine, and Radiology & Nuclear Medicine
- Subjects
Medicine(all) ,Alcohol dehydrogenase 1B gene ,SDG 3 - Good Health and Well-being ,Alcohol consumption ,Alcohol abstinence ,Clinical Medicine ,Medical and Health Sciences - Abstract
Objective: To use the rs1229984 variant in the alcohol dehydrogenase 1B gene (ADH1B) as an instrument to investigate the causal role of alcohol in cardiovascular disease. Design: Mendelian randomisation meta-analysis of 56 epidemiological studies. Participants: 261 991 individuals of European descent, including 20 259 coronary heart disease cases and 10 164 stroke events. Data were available on ADH1B rs1229984 variant, alcohol phenotypes, and cardiovascular biomarkers. Main outcome measures: Odds ratio for coronary heart disease and stroke associated with the ADH1B variant in all individuals and by categories of alcohol consumption. Results: Carriers of the A-allele of ADH1B rs1229984 consumed 17.2% fewer units of alcohol per week (95% confidence interval 15.6% to 18.9%), had a lower prevalence of binge drinking (odds ratio 0.78 (95% CI 0.73 to 0.84)), and had higher abstention (odds ratio 1.27 (1.21 to 1.34)) than non-carriers. Rs1229984 A-allele carriers had lower systolic blood pressure (-0.88 (-1.19 to -0.56) mm Hg), interleukin-6 levels (-5.2% (-7.8 to -2.4%)), waist circumference (-0.3 (-0.6 to -0.1) cm), and body mass index (-0.17 (-0.24 to -0.10) kg/m2). Rs1229984 A-allele carriers had lower odds of coronary heart disease (odds ratio 0.90 (0.84 to 0.96)). The protective association of the ADH1B rs1229984 A-allele variant remained the same across all categories of alcohol consumption (P=0.83 for heterogeneity). Although no association of rs1229984 was identified with the combined subtypes of stroke, carriers of the A-allele had lower odds of ischaemic stroke (odds ratio 0.83 (0.72 to 0.95)). Conclusions: Individuals with a genetic variant associated with non-drinking and lower alcohol consumption had a more favourable cardiovascular profile and a reduced risk of coronary heart disease than those without the genetic variant. This suggests that reduction of alcohol consumption, even for light to moderate drinkers, is beneficial for cardiovascular health.
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- 2014
33. Meal patterns across ten European countries – results from the European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study
- Author
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Huseinovic, E, primary, Winkvist, A, additional, Slimani, N, additional, Park, MK, additional, Freisling, H, additional, Boeing, H, additional, Buckland, G, additional, Schwingshackl, L, additional, Weiderpass, E, additional, Rostgaard-Hansen, AL, additional, Tjønneland, A, additional, Affret, A, additional, Boutron-Ruault, MC, additional, Fagherazzi, G, additional, Katzke, V, additional, Kühn, T, additional, Naska, A, additional, Orfanos, P, additional, Trichopoulou, A, additional, Pala, V, additional, Palli, D, additional, Ricceri, F, additional, Santucci de Magistris, M, additional, Tumino, R, additional, Engeset, D, additional, Enget, T, additional, Skeie, G, additional, Barricarte, A, additional, Bonet, CB, additional, Chirlaque, MD, additional, Amiano, P, additional, Quirós, JR, additional, Sánchez, MJ, additional, Dias, JA, additional, Drake, I, additional, Wennberg, M, additional, Boer, JMA, additional, Ocké, MC, additional, Verschuren, WMM, additional, Lassale, C, additional, Perez-Cornago, A, additional, Riboli, E, additional, Ward, H, additional, and Forslund, H Bertéus, additional
- Published
- 2016
- Full Text
- View/download PDF
34. Orienterend semi-chronisch onderzoek naar de invloed van gekookte koffie op het cholesterol metabolisme van de Wistar rat
- Author
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Janssen GB, Speijers GJA, van Loenen HA, Verschuren WMM, and van Soolingen J
- Subjects
lipid ,technology, industry, and agriculture ,food and beverages ,cholesterol ,lipids (amino acids, peptides, and proteins) ,gekookte koffie ,91-2 ,boiled coffee ,lipide - Abstract
The effects of brewed coffee on the cholesterol metabolism of the Wistar rat were investigated. Male rats were housed for 12 weeks in three groups of 8 animals and were giving drinking water or drinking water containing diluted brewed coffee. Dosis brewed coffee were such that the total intake of brewed coffee was equal to resp. 0, 10 - 15 and 20 - 30 cups of coffee per day for a man weighing 60 kg. Parameters studied comprised growth, food intake, water intake and cholesterol metabolism (total cholesterol, HDL-cholesterol, ratio HDL-cholesterol/total cholesterol, triglycerides, fosfolipids and the percentages lipoprotein). No effects of brewed coffee were seen on growth, food intake, water intake and cholesterol metabolism. Different causes may have had their influence on this insusceptibility. Most likely however is the insusceptibility of the rat for components which influence the cholesterol metabolism. Recommendations for future investigaitons twords the cholesterol increasing effects of brewed coffee are: 1) Investigaitons with a susceptible species such as rabbits and preferably with the AX/JU rabbit. 2) Divide the animals according to a good balanced experimental design that is in such a manner that the mean cholesterol concentrations and the standard deviation of the groups are equal. 3) The brewed coffee may be supplied by two oral routes by way of drinking and by way of consuming food in which lyphilized brewed coffee is mixed.
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- 2012
35. Peilstationsproject Hart- en vaatziekten 1987
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Kromhout D, van Kampen-Donker M, Obermann-de Boer GL, and Verschuren WMM
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monitoring ,risicofactoren ,hart- en vaatziekten ,vgz ,epidemiologie - Abstract
In 1987 is het Peilstationsproject Hart- en vaatziekten van start gegaan. Doel van dit project is meting van de trends in de belangrijkste risicofactoren voor hart- en vaatziekten, zoals totaal- en HDL-cholesterol, bloeddruk en roken. Daarnaast wordt onderzoek verricht naar het belang van minder frequent onderzochte risicofactoren, zoals het gebruik van de anticonceptiepil en psycho-sociale factoren, voor het ontstaan van hart- en vaatziekten. Er wordt ook een bank van biologisch materiaal, met name volbloed, plasma, witte en rode cellen aangelegd ten behoeve van toekomstig etiologisch onderzoek. Dit onderzoek wordt uitgevoerd in Amsterdam, Doetinchem en Maastricht. In 1987 zijn in totaal ongeveer 6300 personen van 20-60 jaar in deze drie plaatsen onderzocht.
- Published
- 2012
36. Hart- en vaatziekten bij allochtonen in Nederland. Een cijfermatige verkenning naar leefstijl- en risicofactoren, ziekte en sterfte
- Author
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van Leest LATM, van Dis SJ, Verschuren WMM, and CZE
- Abstract
De Nederlandse Hartstichting is voornemens haar beleid t.a.v. preventie van hart- en vaatziekten (HVZ) mede op de doelgroep niet-westerse allochtonen te gaan richten. Om te beslissen welke (sub)groep allochtonen en welke leefstijl- of risicofactoren de hoogste prioriteit hebben binnen dit beleid, is het belangrijk om in kaart te brengen hoe deze factoren verdeeld zijn over de diverse groepen allochtonen. Ook informatie over ziekte, zorggebruik en sterfte in relatie tot HVZ geeft aanwijzingen binnen welke groep het risico op HVZ het grootst is. Binnen de leefstijl- en risicofactoren van HVZ lijken voedingsgewoonten (meer fruit, groenten en minder verzadigde vetten) en het voorkomen van hypercholesterolemie gunstig af te steken ten opzichte van de autochtone bevolking. Sommige factoren lijken meer voor te komen bij vooral oudere allochtonen: overgewicht, lichamelijke inactiviteit, hypertensie en diabetes mellitus. Het rookgedrag bij allochtonen is zeer sterk geslachtsgebonden: Turkse mannen roken beduidend meer, terwijl bijvoorbeeld Marokkaanse vrouwen niet roken. Turken, Marokkanen en Surinamers maken vaker gebruik van huisartsenzorg dan autochtone Nederlanders. Ongeveer evenveel allochtonen als autochtonen hebben jaarlijks contact met de specialist of worden jaarlijks opgenomen in het ziekenhuis. Turken hebben meer klachten, raadplegen vaker de specialist en worden vaker opgenomen in het ziekenhuis in verband met hartklachten. HVZ en ook het medicijngebruik gerelateerd aan HVZ is bij Turken lager. Marokkanen hebben minder klachten en diagnosen met betrekking tot hart - en vaatziekten. Surinamers hebben vaker klachten, er wordt vaker de diagnose 'HVZ' gesteld. Over sterfte aan HVZ bij allochtonen is een onderzoek bekend. Dit onderzoek is van oudere datum en de aantallen waarop de resultaten gebaseerd zijn, zijn klein. Bij de interpretatie van de resultaten is enige voorzichtigheid geboden, omdat in de meeste onderzoeken waaruit de resultaten afkomstig zijn het aantal geincludeerde personen klein was, en / of de dataverzameling op basis van zelfrapportage heeft plaatsgevonden en / of het onderzoek relatief oud was.
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- 2012
37. Erratum: Meta-analysis of dense genecentric association studies reveals common and uncommon variants associated with height ((The American Journal of Human Genetics (2010) 88 (6-18))
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Lanktree, MB, Guo, Y, Murtaza, M, Glessner, JT, Bailey, SD, Onland-Moret, NC, Lettre, G, Ongen, H, Rajagopalan, R, Johnson, T, Shen, H, Nelson, CP, Klopp, N, Baumert, J, Padmanabhan, S, Pankratz, N, Pankow, JS, Shah, S, Taylor, K, Barnard, J, Peters, BJ, Maloney, CM, Lobmeyer, MT, Stanton, A, Zafarmand, MH, Romaine, SPR, Mehta, A, Van Iperen, EPA, Gong, Y, Price, TS, Smith, EN, Kim, CE, Li, YR, Asselbergs, FW, Atwood, LD, Bailey, KM, Bhatt, D, Bauer, F, Behr, ER, Bhangale, T, Boer, JMA, Boehm, BO, Bradfield, JP, Brown, M, Braund, PS, Burton, PR, Carty, C, Chandrupatla, HR, Chen, W, Connell, J, Dalgeorgou, C, De Boer, A, Drenos, F, Elbers, CC, Fang, JC, Fox, CS, Frackelton, EC, Fuchs, B, Furlong, CE, Gibson, Q, Gieger, C, Goel, A, Grobbee, DE, Hastie, C, Howard, PJ, Huang, G-H, Johnson, WC, Li, Q, Kleber, ME, Klein, BEK, Klein, R, Kooperberg, C, Ky, B, Lacroix, A, Lanken, P, Lathrop, M, Li, M, Marshall, V, Melander, O, Mentch, FD, Meyer, NJ, Monda, KL, Montpetit, A, Murugesan, G, Nakayama, K, Nondahl, D, Onipinla, A, Rafelt, S, Newhouse, SJ, Otieno, FG, Patel, SR, Putt, ME, Rodriguez, S, Safa, RN, Sawyer, DB, Schreiner, PJ, Simpson, C, Sivapalaratnam, S, Srinivasan, SR, Suver, C, Swergold, G, Sweitzer, NK, Thomas, KA, Thorand, B, Timpson, NJ, Tischfield, S, Tobin, M, Tomaszewski, M, Verschuren, WMM, Wallace, C, Winkelmann, B, Zhang, H, Zheng, D, Zhang, L, Zmuda, JM, Clarke, R, Balmforth, AJ, Danesh, J, Day, IN, Schork, NJ, De Bakker, PIW, Delles, C, Duggan, D, Hingorani, AD, Hirschhorn, JN, Hofker, MH, Humphries, SE, Kivimaki, M, Lawlor, DA, Kottke-Marchant, K, Mega, JL, Mitchell, BD, Morrow, DA, Palmen, J, Redline, S, Shields, DC, Shuldiner, AR, Sleiman, PM, Smith, GD, Farrall, M, Jamshidi, Y, Christiani, DC, Casas, JP, Hall, AS, Doevendans, PA, Christie, JD, Berenson, GS, Murray, SS, Illig, T, Dorn, GW, Cappola, TP, Boerwinkle, E, Sever, P, Rader, DJ, Reilly, MP, Caulfield, M, Talmud, PJ, Topol, E, Engert, JC, Wang, K, Dominiczak, A, Hamsten, A, Curtis, SP, Silverstein, RL, Lange, LA, Sabatine, MS, Trip, M, Saleheen, D, Peden, JF, Cruickshanks, KJ, März, W, O'Connell, JR, Klungel, OH, Wijmenga, C, Maitland-Van Der Zee, AH, Schadt, EE, Johnson, JA, Jarvik, GP, Papanicolaou, GJ, Grant, SFA, Munroe, PB, North, KE, Samani, NJ, Koenig, W, Gaunt, TR, Anand, SS, Van Der Schouw, YT, Soranzo, N, Fitzgerald, GA, Reiner, A, Hegele, RA, Hakonarson, H, and Keating, BJ
- Published
- 2012
38. The Fifth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of nine societies and by invited experts) Developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR) (vol 33, pg 1635, 2012)
- Author
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Perk, J, De Backer, G, Gohlke, H, Graham, I, Verschuren, WMM, Albus, C, Benlian, P, Boysen, G, Cifkova, R, Ebrahim, S, Fisher, M, Germano, G, Hobbs, R, Karadeniz, S, Mezzani, A, Prescott, E, Ryden, L, Scherer, M, Syvanne, M, Cooney, MT, Bax, J, Baumgartner, H, Ceconi, C, Dean, V, Deaton, C, Fagard, R, Hasdai, D, Hoes, A, Kirchhof, P, Knuuti, J, Kolh, P, McDonagh, T, Moulin, C, Popescu, BA, Reiner, Z, Sechtem, U, Tendera, M, Torbicki, A, Vahanian, A, Windecker, S, Funck-Brentano, C, Sirnes, PA, Aboyans, V, Ezquerra, EA, Baigent, C, Brotons, C, Burell, G, Ceriello, A, De Sutter, J, Deckers, J, Del Prato, S, Diener, HC, Fitzsimons, D, Fras, Z, Hambrecht, R, Jankowski, P, Keil, U, Kirby, M, Larsen, ML, Mancia, G, Manolis, AJ, McMurray, J, Pajak, A, Parkhomenko, A, Rallidis, L, Rigo, F, Rocha, E, Ruilope, LM, van der Velde, E, Vanuzzo, D, Viigimaa, M, Volpe, M, Wiklund, O, and Wolpert, C
- Published
- 2012
39. European Guidelines on cardiovascular disease prevention in clinical practice (version 2012)
- Author
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Perk, J, De Backer, G, Gohlke, H, Graham, I, Reiner, Z, Verschuren, WMM, Albus, C, Benlian, P, Boysen, G, Cifkova, R, Deaton, C, Ebrahim, S, Fisher, M, Germano, G, Hobbs, R, Hoes, A, Karadeniz, S, Mezzani, A, Prescott, E, Ryden, L, Scherer, M, Syvanne, M, Reimer, WJMSO, Vrints, C, Wood, D, Zamorano, JL, Zannad, F, Brotons C., and European Assoc Cardiovascular Prev
- Subjects
Risk management ,Physical activity ,Prevention ,Smoking ,Psychosocial factors ,Cardiovascular disease ,Risk assessment ,Nutrition - Published
- 2012
40. The Fifth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of nine societies and by invited experts) Developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation
- Author
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Perk, J., De Backer, G., Gohlke, H., Graham, I., Reiner, Z., Verschuren, WMM, Albus, C., Benlian, P., Boysen, G., Cifkova, R., Deaton, C., Ebrahim, S., Fisher, M., Germano, G., Hobbs, R., Hoes, A., Karadeniz, S., Mezzani, A., Prescott, E., Ryden, L., Scherer, M., Syvanne, M., Cooney, M. T., Bax, J., Baumgartner, H., Ceconi, C., Dean, V., Fagard, R., Funck-Brentano, C., Hasdai, D., Kirchhof, P., Knuuti, J., Kolh, P., McDonagh, T., Moulin, C., Popescu, B. A., Sechtem, U., Sirnes, P. A., Tendera, M., Torbicki, A., Vahanian, A., Windecker, S., Aboyans, V., Ezquerra, E. A., Baigent, C., Brotons, C., Burell, G., Ceriello, A., De Sutter, J., Deckers, J., Del Prato, S., Diener, Hans Christoph, Fitzsimons, D., Fras, Z., Hambrecht, R., Jankowski, P., Keil, U., Kirby, M., Larsen, M. L., Mancia, G., Manolis, A. J., McMurray, J., Pajak, A., Parkhomenko, A., Rallidis, L., Rigo, F., Rocha, E., Ruilope, L. M., van der Velde, E., Vanuzzo, D., Viigimaa, M., Volpe, M., Wiklund, O., and Wolpert, C.
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Medizin - Published
- 2012
41. [InlineMediaObject not available: see fulltext.]European Guidelines on Cardiovascular Disease Prevention in Clinical Practice (Version 2012) - The Fifth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (Constituted by Representatives of Nine Societies and by Invited Experts)
- Author
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Perk, J, De Backer, G, Gohlke, H, Graham, I, Reiner, Z, Verschuren, WMM, Albus, C, Benlian, P, Boysen, G, Cifkova, R, Deaton, C, Ebrahim, S, Fisher, M, Germano, G, Hobbs, R, Hoes, A, Karadeniz, S, Mezzani, A, Prescott, E, Ryden, L, Scherer, M, Syvänne, M, Op Reimer, WJMS, Vrints, C, Wood, D, Zamorano, JL, and Zannad, F
- Published
- 2012
42. The InterAct Project: An Examination of the Interaction of Genetic and Lifestyle Factors on the Incidence of Type 2 Diabetes in the EPIC Study
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Langenberg, C, Sharp, S, Forouhi, NG, Franks, P, Schulze, MB, Kerrison, N, Ekelund, U, Barroso, I, Panico, S, Tormo, M, Spranger, J, Griffin, S, van der Schouw, YT, Amiano, P, Ardanaz, E, Arriola, L, Balkau, B, Barricarte, A, Beulens, JWJ, Boeing, H, Bueno-de-Mesquita, HB, Buijsse, BB, Chirlaque Lopez, MD, Clavel-Chapelon, F, Crowe, FL, de Lauzon-Guillan, B, Deloukas, P, Dorronsoro, M, Drogan, DD, Froguel, P, Gonzalez, C, Grioni, S, Groop, L, Groves, C, Hainaut, P, Halkjaer, J, Hallmans, G, Hansen, T, Kaaks, R, Key, TJ, Khaw, K, Koulman, A, Mattiello, A, Navarro, C, Nilsson, P, Norat, T, Overvad, K, Palla, L, Palli, D, Pedersen, O, Peeters, PH, Quirós, JR, Ramachandran, A, Rodriguez-Suarez, L, Rolandsson, O, Romaguera, D, Romieu, I, Sacerdote, C, Sánchez, M, Sandbaek, A, Slimani, N, Sluijs, I, Spijkerman, AMW, Teucher, B, Tjonneland, A, Tumino, R, van der A, DL, Verschuren, WMM, Tuomilehto, J, Feskens, E, McCarthy, M, Riboli, E, and Wareham, NJ
- Subjects
Male ,Incidence ,International Cooperation ,Middle Aged ,Motor Activity ,Article ,Diet ,Cohort Studies ,Europe ,Diabetes Mellitus, Type 2 ,Risk Factors ,Humans ,Female ,Genetic Predisposition to Disease ,Prospective Studies ,Life Style ,Follow-Up Studies ,Retrospective Studies - Abstract
Studying gene-lifestyle interaction may help to identify lifestyle factors that modify genetic susceptibility and uncover genetic loci exerting important subgroup effects. Adequately powered studies with prospective, unbiased, standardised assessment of key behavioural factors for gene-lifestyle studies are lacking. This case-cohort study aims to investigate how genetic and potentially modifiable lifestyle and behavioural factors, particularly diet and physical activity, interact in their influence on the risk of developing type 2 diabetes.Incident cases of type 2 diabetes occurring in European Prospective Investigation into Cancer and Nutrition (EPIC) cohorts between 1991 and 2007 from eight of the ten EPIC countries were ascertained and verified. Prentice-weighted Cox regression and random-effects meta-analyses were used to investigate differences in diabetes incidence by age and sex.A total of 12,403 verified incident cases of type 2 diabetes occurred during 3.99 million person-years of follow-up of 340,234 EPIC participants eligible for InterAct. We defined a centre-stratified subcohort of 16,154 individuals for comparative analyses. Individuals with incident diabetes who were randomly selected into the subcohort (n = 778) were included as cases in the analyses. All prevalent diabetes cases were excluded from the study. InterAct cases were followed-up for an average of 6.9 years; 49.7% were men. Mean baseline age and age at diagnosis were 55.6 and 62.5 years, mean BMI and waist circumference values were 29.4 kg/m(2) and 102.7 cm in men, and 30.1 kg/m(2) and 92.8 cm in women, respectively. Risk of type 2 diabetes increased linearly with age, with an overall HR of 1.56 (95% CI 1.48-1.64) for a 10 year age difference, adjusted for sex. A male excess in the risk of incident diabetes was consistently observed across all countries, with a pooled HR of 1.51 (95% CI 1.39-1.64), adjusted for age.InterAct is a large, well-powered, prospective study that will inform our understanding of the interplay between genes and lifestyle factors on the risk of type 2 diabetes development.
- Published
- 2011
43. Vergrijzing en toekomstige ziektelast. Prognose chronische ziektenprevalentie 2005-2025
- Author
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Blokstra A, Baan CA, Boshuizen HC, Feenstra TL, Hoogenveen RT, Picavet HSJ, Smit HA, Wijga AH, Verschuren WMM, and PZO
- Subjects
chronic diseases ,vergrijzing ,projections ,chronische ziekten ,toekomstprojecties ,ageing ,ziektelast ,burden of disease - Abstract
Due to ageing and growth of the population, the number of persons with a chronic disease will increase in the next twenty years, with the largest increase expected in the number of persons with diabetes and osteoporosis. In the next twenty years, 300,000 additional cases of diabetes are expected, with a further 100,000 cases of diabetes expected if the increase in the prevalence of obesity continues at the present rate. 350,000 additional cases of osteoporosis are expected in the next twenty years. In the past decades, smoking has declined in men, while it has increased in women, resulting in future patterns of smoking-related diseases (COPD and lung cancer) that are different for men and women: a smaller increase in men, and a larger increase in women than expected on the basis of demographic changes alone. These are some of the results drawn from projections of the chronic disease burden for 2005 up to 2025. Projections - for cardiovascular diseases (myocardial infarction, stroke and heart failure), diabetes mellitus, cancer (lung, colon, breast), asthma, COPD and osteoporosis - were made for anticipating future health-care needs and costs. Different methods employed here were: simple demographic projections, using present age-specific prevalence combined with future population numbers; projections using the Chronic Diseases Model, in which trends in diseases observed in the past are taken into account, and projections using the Chronic Diseases Model in which also future trends in obesity and smoking are taken into account.
- Published
- 2008
44. Het project Monitoring Risicofactoren en Gezondheid Nederland (MORGEN-project) Jaarverslag 1997
- Author
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Blokstra A, Seidell JC, Smit HA, Bueno de Mesquita HB, Verschuren WMM, and CCM
- Subjects
peilstation ,monitoring risicofactoren - Abstract
The Monitoring Project on Risk Factors for Chronic Diseases (MORGEN-project) is conducted by the National Institute of Public Health and the Environment (RIVM). Its general purpose is to determine the prevalence of risk factors for chronic diseases as well as the prevalence of some specific chronic conditions in a sample of the general population. In 1997 approximately 3900 men and women aged 20-59 years were examined in three towns in the Netherlands (Amsterdam, Doetinchem and Maastricht). According to guidelines of the American Diabetes Association then, the prevalence of diabetes mellitus was about 4%. Hypertension was present in 8% of the men and 6% of the women. Of the men, 8% were obese and of the women 10% were obese. Hypercholesterolemia occurred in 8%. The prevalence of smoking was 41% in men and 35% in women. Inactivity during leisure time was reported in over 40% of the participants. Prevalence of hypertension, obesity and hypercholesterolemia, as well as smoking, were comparable to the prevalence in 1996.
- Published
- 2007
45. Population-attributable risks and the health of the Dutch population
- Author
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Verschuren WMM, Achterberg PW, Bijnen FCH, Bueno de Mesquita HB, Feskens EJM, Leer EM van, Peeters PHM, Seidell JC, Smit HA, Verkleij H, VTV, and CCM
- Subjects
risicofactoren ,risk analysis ,food ,health risks ,population ,life style ,biological factors ,mortality ,biologische factoren ,populatie attributieve risico's ,bevolking ,risico analyse ,population attributable risks ,levensstijl ,risk factors ,voeding ,gezondheid ,mortaliteit ,risico - Abstract
In this report population-attributable risks (PARs) are reported, which quantify the contribution of several determinants (lifestyle factors such as smoking, alcohol consumption, physical activity and dietary factors, as well as biological risk factors such as total serum cholesterol, HDL-cholesterol, blood pressure, glucose tolerance and body mass index) to mortality from a number of chronic diseases (coronary heart disease, stroke, COPD, diabetes and some forms of cancer). Relative risks and prevalences of risk factors are needed for calculations of PAR's. Relative risks were taken from the international literature and risk factor prevalences (mainly for the age range 20-59 years) were derived from the 1987-1991 Dutch Monitoring Project on Cardiovascular Disease Risk Factors. Some important assumptions and difficulties in calculating and interpreting the PAR's and PAR like measures are summarized in chapter 2. Chapter 3 contains a description of PAR calculations for a series of determinants, later summarized (chapter 4) from the viewpoints of both diseases and determinants. PAR's for individual determinants ranged from 10 to 90 percent. From a Public Health point of view, intervention in a determinant which has a moderately strong influence one or more frequently occurring diseases, will lead to more gain in health than intervention in a determinant which has a strong influence on a rare disease. From the results it is clear, that cigarette smoking is the determinant causing the greatest health loss: the prevalence of cigarette smoking is still high (about 40 percent in men and women aged 20-59 years) in the Netherlands. Cigarette smoking influences mortality from a number of indicators (cancer of the lung, larynx, oral cavity and oesophagus, coronary heart disease, stroke and chronic respiratory disorders). Coronary heart disease has the largest number of determinants for which it was possible to calculate PARs. The general conclusion is that for the health problems mentioned in the Netherlands a substantial health gain is at least theoretically possible. As a large part of these risk factors are made up of life style factors there are important individual and collective choices involved in trying to further improve the health status of the Netherlands. The PARs calculated here for the individual determinants are a simplification of reality, because interactions between determinants have not been taken into consideration. Mathematical models are now being constructed which take these interactions into account. In addition, more attention will have to be paid to the health gains that may be achieved in old age.
- Published
- 2007
46. Het Project Monitoring Risicofactoren en Gezondheid Nederland (MORGEN-project). Jaarverslag 1993
- Author
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Smit HA, Verschuren WMM, Bueno de Mesquita HB, Seidell JC, and CCM
- Subjects
trends ,monitoring ,chronische ziekten ,risicofactoren ,prevalence ,risk factors ,netherlands ,chronic disease ,prevalentie ,nederland - Abstract
The Monitoring Project on Risk Factors for Chronic Diseases (MORGEN-project) is conducted by the National Institute of Public Health and Environmental Protection (RIVM). Its general purpose is to determine the prevalence of risk factors for chronic diseases as well as the prevalence of some specific chronic conditions in a sample of the general population. In the MORGEN-project, data on the health status and prevalence of risk factors are collected in a random sample of the general population in the Netherlands from 1993 through 1997. In 1993, 5154 men and women participated in the MORGEN-project. The prevalence figures of the most relevant risk factors (hypercholesterolemia, hypertension, obesity) are comparable to those observed in the Monitoring Project on Cardiovascular Disease Risk Factors 1987-1991. The proportion of smokers however, decreased from 40% over the period 1987-1991 to 37% in 1993. The prevalence of self-reported asthma was 3%. Almost half of those with asthma reported regular use of medication. The prevalence of low back pain and of neck-shoulder complaints was approximately 50%. Of those with low back pain or neck and shoulder complaints, 10% had been on sick leave for longer than one week due to their complaints. Approximately 9% of the respondents reported regular headache with symptoms of mi74aine. The prevalence of self-reported diabetes was about 1%. Based on non-fasting glucose measurements, diabetes was diagnosed in an additional 0.8% of men and 0.1% of women.
- Published
- 2007
47. Population-level changes to promote cardiovascular health
- Author
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Jorgensen, T, Capewell, S, Prescott, E, Allender, S, Sans, S, Zdrojewski, T, De Bacquer, D, de Sutter, J, Franco Duran, OH, Logstrup, S, Volpe, M, Malyutina, S, Marques-Vidal, P, Reiner, Z, Tell, GS, Verschuren, WMM, Vanuzzo, D, Jorgensen, T, Capewell, S, Prescott, E, Allender, S, Sans, S, Zdrojewski, T, De Bacquer, D, de Sutter, J, Franco Duran, OH, Logstrup, S, Volpe, M, Malyutina, S, Marques-Vidal, P, Reiner, Z, Tell, GS, Verschuren, WMM, and Vanuzzo, D
- Published
- 2013
48. Genetic polymorphisms: importance for response to HMG-CoA reductase inhibitors
- Author
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Maitland - van der Zee, AH, Klungel, OH, Stricker, Bruno, Verschuren, WMM, Kastelein, JJP, Leufkens, HGM, Boer, A, and Epidemiology
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- 2002
49. Hartfalen: epidemiologie, risicofactoren en toekomst
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PZO, vz, Engelfriet PM, Hoogenveen RT, Poos MJJC, Blokstra A, van Baal PHM, Verschuren WMM, PZO, vz, Engelfriet PM, Hoogenveen RT, Poos MJJC, Blokstra A, van Baal PHM, and Verschuren WMM
- Abstract
RIVM rapport:Bij veel mensen wordt hun laatste levensfase overschaduwd door hartfalen. Hartfalen ontstaat doordat de pompfunctie van het hart tekort schiet en leidt hoofdzakelijk tot kortademigheid en vocht in de longen en in de benen. Tussen 20 en 30% van de mensen krijgt te maken met hartfalen, meestal als zij ouder zijn dan zeventig jaar. Momenteel heeft ongeveer 1% van de volwassen bevolking deze aandoening (circa 130.000). De verwachting is dat dit aantal door de vergrijzing sterk zal toenemen, tot minstens de helft meer hartfalenpatiënten in 2025 (schatting: 195.000). De ziekenhuisopnamen en behandeling van mensen met ernstige klachten brengen hoge kosten met zich mee. Dit blijkt uit literatuuronderzoek van Het RIVM, aangevuld met gesimuleerde toekomstverkenningen. Vooral hoge bloeddruk en overgewicht bestrijden: Mensen kunnen de kans op hartfalen verminderen door risicofactoren te vermijden, vooral een te hoge bloeddruk en een hartinfarct. De preventieve maatregelen voor hart- en vaatziektes in het algemeen zijn ook effectief om hartfalen te voorkomen (gezonde voeding, bewegen, niet roken, enzovoort). De meeste gezondheidswinst is te behalen door mensen met een hoge bloeddruk levenslang te behandelen. Hetzelfde geldt voor overgewicht en diabetes. Mensen met een verhoogd risico op hartfalen, zoals na een hartinfarct of met diabetes, zouden nog intensiever begeleid kunnen worden. Onder artsen neemt de belangstelling voor vroege opsporing en selectieve preventie van hartfalen toe. Als afwijkingen zouden kunnen worden herkend vóórdat er klachten zijn, zou een aangepaste leefstijl of medicatie hartfalen kunnen uitstellen of voorkomen. Vooralsnog ontbreekt een geschikte test hiervoor., Heart failure casts a shadow over the last phase of life of many people. Symptoms of heart failure start to happen when the function of the heart as a pump becomes insufficient. This results mainly in shortness of breath and fluid congestion in the lungs and lower extremities. Between 20 and 30% of all people will experience heart failure, usually when they are 70 years old or above. Currently, approximately 1% of the adult Dutch population suffers from heart failure (approximately 130,000 individuals). It is expected that due to the ageing of the population, the number of heart failure patients will increase by fifty percent (estimate for 2025: 195,000 individuals) between now and the year 2025. Hospital admissions and treatment of patients with severe symptoms are associated with high costs. These are the findings of a review of the literature supplemented with (computer) simulated forecasts performed by the National Institute for Public Health and the Environment (RIVM). Focus on controling high blood pressure and combatting obesity: Individuals can reduce their risk of heart failure by avoiding its risk factors, in particular high blood pressure and myocardial infarction. The recommended measures for the prevention of cardiovascular disease in general (healthy nutrition, sufficient exercise, no smoking, et cetera) are also effective in preventing heart failure. Most health gains can be achieved by lifelong management of high blood pressure. The same applies to overweight and diabetes. People at increased risk of heart failure, such as those with a history of a myocardial infarction or diabetics, could be offered more intensive guidance. Amongst healthcare professionals there is an increased interest in early recognition and selective prevention of heart failure. If heart dysfunction could be recognised before symptoms emerge, life style adaptations or appropriate medication could postpone or even prevent heart failure. For the time being, a suitable test is lack
- Published
- 2012
50. Nederland de Maat Genomen, 2009- 2010 : Monitoring van risicofactoren in de algemene bevolking
- Author
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PZO, vz, Blokstra A, Vissink P, Venmans LMAJ, Holleman P, van der Schouw YT, Smit HA, Verschuren WMM, PZO, vz, Blokstra A, Vissink P, Venmans LMAJ, Holleman P, van der Schouw YT, Smit HA, and Verschuren WMM
- Abstract
RIVM rapport:Meer dan helft Nederlanders te zwaar: In Nederland is 60 procent van de mannen tussen de 30 en 70 jaar te zwaar (een BMI van 25 of meer). Bij 13 procent is zelfs sprake van obesitas (ernstig overgewicht, oftewel een BMI van 30 of meer). Van de Nederlandse vrouwen in deze leeftijdsgroep is 44 procent te zwaar, en is bij 14 procent sprake van ernstig overgewicht. Abdominale obesitas komt voor bij 27 procent van de mannen (een buikomvang van 102 centimeter of meer) en 39 procent van de vrouwen (buikomvang van 88 centimeter of meer). Dit zijn de belangrijkste bevindingen uit metingen van het RIVM-project 'Nederland de Maat Genomen', waarbij een steekproef van 4500 personen uit de algemene bevolking is onderzocht in 2009 en 2010. Ruim een kwart heeft meerdere risicofactoren (metabool syndroom): Er is sprake van metabool syndroom bij aanwezigheid van ten minste drie van de volgende vijf risicofactoren: abdominale obesitas, hoge bloeddruk, laag HDLcholesterolgehalte, verhoogd glucose- en/of trigyceridengehalte (vet) in het bloed. In de onderzochte leeftijdsgroep komt dit bij 34 procent van de mannen voor en bij 24 procent van de vrouwen. Het metabool syndroom verhoogt het risico op diabetes type 2 en hart- en vaatziekten. Diabetes komt voor bij 6 procent van de mannen en 5 procent van de vrouwen in deze leeftijdsgroep. Een kwart van de mensen bij wie diabetes werd vastgesteld, wist nog niet dat ze dat hadden. Toename middelomtrek: De bevindingen zijn vergeleken met het laatste grootschalige onderzoek naar risicofactoren in een aselecte steekproef onder de Nederlandse bevolking, dat dateert van 1993-1997 (het MORGEN-project). Het opvallendste verschil met 15 jaar geleden is de toename van het aantal mensen met abdominale obesitas (grote buikomvang). In de onderzochte leeftijdsgroep was de toename in abdominale obesitas vooral groot bij vrouwen tussen 30 en 39 jaar (een stijging van 15 naar 26 procent)., More than half of the population is too heavy: In the Netherlands, 60 percent of men aged 30-70 years are too heavy (BMI over 25), including 13 percent who are obese (BMI over 30). In Dutch women of the same age, 44 percent is too heavy, including 14 percent who are obese. Prevalence of abdominal obesity is 27 percent in men (waist circumference of 102 centimeters or more) and 39 percent in women (waist circumference of 88 centimeters or more). These are some main results of the health examination survey 'Measuring the Netherlands', carried out during 2009-2010 in a national sample of over 4500 men and women. A quarter of the population has multiple risk factors (metabolic syndrom): Prevalence of metabolic syndrom is defined as having at least three of the following five risk factors: abdominal obesity, hypertension, low HDL-cholesterol, elevated glucose level and/or elevated triglyceride level. In the age group 30-70 years, 34 percent of men and 24 percent of women have metabolic syndrom, which increases the risk of developing type 2 diabetes and cardiovascular diseases. Prevalence of diabetes was 6 percent in men and 5 percent in women. A quarter of those diagnosed with diabetes were unaware of this. Increase in waist circumference: The previous large scale national health examination survey was carried out between 1993-1997 (MORGEN-project). The most striking difference compared to 15 years ago, was the increase in abdominal obesity, especially in women aged 30-39 years (increase from 15 to 26 percent).
- Published
- 2012
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