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151. Treatment failure of proton pump inhibitors related to food intake

Author: Freigofas, J, Haefeli, WE, Schöttker, B, Brenner, H, Quinzler, R, Freigofas, J, Haefeli, WE, Schöttker, B, Brenner, H, and Quinzler, R
Published: 2013

152. Adult height and the risk of cause-specific death and vascular morbidity in 1 million people : individual participant meta-analysis

Author: Wormser, David, Di Angelantonio, Emanuele, Kaptoge, Stephen, Wood, Angela M., Gao, Pei, Sun, Qi, Walldius, Goeran, Selmer, Randi, Verschuren, W. M. Monique, Bueno-de-Mesquita, H. Bas, Engstrom, Gunnar, Ridker, Paul M., Njolstad, Inger, Iso, Hiroyasu, Holme, Ingar, Giampaoli, Simona, Tunstall-Pedoe, Hugh, Gaziano, J. Michael, Brunner, Eric, Kee, Frank, Tosetto, Alberto, Meisinger, Christa, Brenner, Hermann, Ducimetiere, Pierre, Whincup, Peter H., Tipping, Robert W., Ford, Ian, Cremer, Peter, Hofman, Albert, Wilhelmsen, Lars, Clarke, Robert, de Boer, Ian H., Jukema, J. Wouter, Ibanez, Alejandro Marin, Lawlor, Debbie A., D'Agostino, Ralph B., Sr., Rodriguez, Beatriz, Casiglia, Edoardo, Stehouwer, Coen D. A., Simons, Leon A., Nietert, Paul J., Barrett-Connor, Elizabeth, Panagiotakos, Demosthenes B., Bjorkelund, Cecilia, Strandberg, Timo E., Wassertheil-Smoller, Sylvia, Blazer, Dan G., Meade, Tom W., Welin, Lennart, Svärdsudd, Kurt, Woodward, Mark, Nissinen, Aulikki, Kromhout, Daan, Jorgensen, Torben, Tilvis, Reijo S., Guralnik, Jack M., Rosengren, Annika, Taylor, James O., Kiechl, Stefan, Dagenais, Gilles R., Fowkes, F. Gerry R., Wallace, Robert B., Khaw, Kay-Tee, Shaffer, Jonathan A., Visser, Marjolein, Kauhanen, Jussi, Salonen, Jukka T., Gallacher, John, Ben-Shlomo, Yoav, Kitamura, Akihiko, Sundström, Johan, Wennberg, Patrik, Kiyohara, Yutaka, Daimon, Makoto, Gomez de la Camara, Agustin, Cooper, Jackie A., Onat, Altan, Devereux, Richard, Mukamal, Kenneth J., Dankner, Rachel, Knuiman, Matthew W., Crespo, Carlos J., Gansevoort, Ron T., Goldbourt, Uri, Nordestgaard, Borge G., Shaw, Jonathan E., Mussolino, Michael, Nakagawa, Hidaeki, Fletcher, Astrid, Kuller, Lewis H., Gillum, Richard F., Gudnason, Vilmundur, Assmann, Gerd, Wald, Nicholas, Jousilahti, Pekka R., Greenland, Philip, Trevisan, Maurizio, Ulmer, Hanno, Butterworth, Adam S., Folsom, Aaron R., Davey-Smith, George, Hu, Frank B., Danesh, John, Tipping, Ford, CE, Simpson, Walldius, G, Jungner, I, Folsom, AR, Demerath, Franceschini, N, Lutsey, Panagiotakos, DB, Pitsavos, C, Chrysohoou, C, Stefanadis, Shaw, JE, Atkins, R, Zimmet, PZ, Barr, EL, Knuiman, MW, Whincup, Wannamethee, Morris, Willeit, J, Kiechl, Weger, Oberhollenzer, F, Wald, N, Ebrahim, S, Lawlor, DA, Gallacher, J, Ben-Shlomo, Yarnell, Casiglia, Tikhonoff, Greenland, P, Shay, Garside, Nietert, Sutherland, SE, Bachman, DL, Keil, de Boer, IH, Kizer, JR, Psaty, BM, Mukamal, KJ, Nordestgaard, BG, Tybjærg-Hansen A, A, Jensen, GB, Schnohr, P, Giampaoli, S, Palmieri, Panico, Pilotto, L, Vanuzzo, D, de la Cámara, AG, Simons, LA, Simons, J, McCallum, J, Friedlander, Gerry, F, Fowkes, R, Price, JF, Lee, AJ, Taylor, Taylor JO, Guralnik, JM, Phillips, CL, Kohout, FJ, Cornoni-Huntley, JC, Blazer, DG, Guralnik, Khaw, KT, Wareham, NJ, Brenner, H, Schöttker, B, Müller, H, Rothenbacher, D, Wennberg, P, Jansson, JH, Nissinen, A, Donfrancesco, C, Woodward, M, Vartiainen, E, Jousilahti, PR, Harald, K, Salomaa, V, D'Agostino, RB, Vasan, RS, Fox, CS, Pencina, MJ, Daimon, M, Oizumi, T, Kayama, T, Kato, T, Bladbjerg, EM, Danesh, J, Wormser, David, Di Angelantonio, Emanuele, Kaptoge, Stephen, Wood, Angela M., Gao, Pei, Sun, Qi, Walldius, Goeran, Selmer, Randi, Verschuren, W. M. Monique, Bueno-de-Mesquita, H. Bas, Engstrom, Gunnar, Ridker, Paul M., Njolstad, Inger, Iso, Hiroyasu, Holme, Ingar, Giampaoli, Simona, Tunstall-Pedoe, Hugh, Gaziano, J. Michael, Brunner, Eric, Kee, Frank, Tosetto, Alberto, Meisinger, Christa, Brenner, Hermann, Ducimetiere, Pierre, Whincup, Peter H., Tipping, Robert W., Ford, Ian, Cremer, Peter, Hofman, Albert, Wilhelmsen, Lars, Clarke, Robert, de Boer, Ian H., Jukema, J. Wouter, Ibanez, Alejandro Marin, Lawlor, Debbie A., D'Agostino, Ralph B., Sr., Rodriguez, Beatriz, Casiglia, Edoardo, Stehouwer, Coen D. A., Simons, Leon A., Nietert, Paul J., Barrett-Connor, Elizabeth, Panagiotakos, Demosthenes B., Bjorkelund, Cecilia, Strandberg, Timo E., Wassertheil-Smoller, Sylvia, Blazer, Dan G., Meade, Tom W., Welin, Lennart, Svärdsudd, Kurt, Woodward, Mark, Nissinen, Aulikki, Kromhout, Daan, Jorgensen, Torben, Tilvis, Reijo S., Guralnik, Jack M., Rosengren, Annika, Taylor, James O., Kiechl, Stefan, Dagenais, Gilles R., Fowkes, F. Gerry R., Wallace, Robert B., Khaw, Kay-Tee, Shaffer, Jonathan A., Visser, Marjolein, Kauhanen, Jussi, Salonen, Jukka T., Gallacher, John, Ben-Shlomo, Yoav, Kitamura, Akihiko, Sundström, Johan, Wennberg, Patrik, Kiyohara, Yutaka, Daimon, Makoto, Gomez de la Camara, Agustin, Cooper, Jackie A., Onat, Altan, Devereux, Richard, Mukamal, Kenneth J., Dankner, Rachel, Knuiman, Matthew W., Crespo, Carlos J., Gansevoort, Ron T., Goldbourt, Uri, Nordestgaard, Borge G., Shaw, Jonathan E., Mussolino, Michael, Nakagawa, Hidaeki, Fletcher, Astrid, Kuller, Lewis H., Gillum, Richard F., Gudnason, Vilmundur, Assmann, Gerd, Wald, Nicholas, Jousilahti, Pekka R., Greenland, Philip, Trevisan, Maurizio, Ulmer, Hanno, Butterworth, Adam S., Folsom, Aaron R., Davey-Smith, George, Hu, Frank B., Danesh, John, Tipping, Ford, CE, Simpson, Walldius, G, Jungner, I, Folsom, AR, Demerath, Franceschini, N, Lutsey, Panagiotakos, DB, Pitsavos, C, Chrysohoou, C, Stefanadis, Shaw, JE, Atkins, R, Zimmet, PZ, Barr, EL, Knuiman, MW, Whincup, Wannamethee, Morris, Willeit, J, Kiechl, Weger, Oberhollenzer, F, Wald, N, Ebrahim, S, Lawlor, DA, Gallacher, J, Ben-Shlomo, Yarnell, Casiglia, Tikhonoff, Greenland, P, Shay, Garside, Nietert, Sutherland, SE, Bachman, DL, Keil, de Boer, IH, Kizer, JR, Psaty, BM, Mukamal, KJ, Nordestgaard, BG, Tybjærg-Hansen A, A, Jensen, GB, Schnohr, P, Giampaoli, S, Palmieri, Panico, Pilotto, L, Vanuzzo, D, de la Cámara, AG, Simons, LA, Simons, J, McCallum, J, Friedlander, Gerry, F, Fowkes, R, Price, JF, Lee, AJ, Taylor, Taylor JO, Guralnik, JM, Phillips, CL, Kohout, FJ, Cornoni-Huntley, JC, Blazer, DG, Guralnik, Khaw, KT, Wareham, NJ, Brenner, H, Schöttker, B, Müller, H, Rothenbacher, D, Wennberg, P, Jansson, JH, Nissinen, A, Donfrancesco, C, Woodward, M, Vartiainen, E, Jousilahti, PR, Harald, K, Salomaa, V, D'Agostino, RB, Vasan, RS, Fox, CS, Pencina, MJ, Daimon, M, Oizumi, T, Kayama, T, Kato, T, Bladbjerg, EM, and Danesh, J
Abstract: Background The extent to which adult height, a biomarker of the interplay of genetic endowment and early-life experiences, is related to risk of chronic diseases in adulthood is uncertain. Methods We calculated hazard ratios (HRs) for height, assessed in increments of 6.5 cm, using individual-participant data on 174 374 deaths or major non-fatal vascular outcomes recorded among 1 085 949 people in 121 prospective studies. Results For people born between 1900 and 1960, mean adult height increased 0.5-1 cm with each successive decade of birth. After adjustment for age, sex, smoking and year of birth, HRs per 6.5 cm greater height were 0.97 (95% confidence interval: 0.96-0.99) for death from any cause, 0.94 (0.93-0.96) for death from vascular causes, 1.04 (1.03-1.06) for death from cancer and 0.92 (0.90-0.94) for death from other causes. Height was negatively associated with death from coronary disease, stroke subtypes, heart failure, stomach and oral cancers, chronic obstructive pulmonary disease, mental disorders, liver disease and external causes. In contrast, height was positively associated with death from ruptured aortic aneurysm, pulmonary embolism, melanoma and cancers of the pancreas, endocrine and nervous systems, ovary, breast, prostate, colorectum, blood and lung. HRs per 6.5 cm greater height ranged from 1.26 (1.12-1.42) for risk of melanoma death to 0.84 (0.80-0.89) for risk of death from chronic obstructive pulmonary disease. HRs were not appreciably altered after further adjustment for adiposity, blood pressure, lipids, inflammation biomarkers, diabetes mellitus, alcohol consumption or socio-economic indicators. Conclusion Adult height has directionally opposing relationships with risk of death from several different major causes of chronic diseases., Karl Michaëlsson (Department of Surgical Sciences, Orthopaedics, Uppsala University, Sweden) contributed to this study.
Published: 2012
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153. Pulsing with blast cell lysate or blast-derived total RNA reverses the dendritic cell-mediated cytotoxic activity of cytokine-induced killer cells against allogeneic acute myelogenous leukemia cells

Author: Schöttker, B, Schmidt-Wolf, IG, Schöttker, B, and Schmidt-Wolf, IG
Abstract: Immunotherapeutic strategies may be a treatment option in patients with refractory acute myelogenous leukemia (AML) or, in cases of complete remission after conventional therapy regimens, may help to reduce disease recurrence or delay time to progression. Evidence suggests a key role of dendritic cells (DCs) in cancer immunotherapy due to their capacity to present tumour antigens to effector cells. We generated cytokine-induced killer (CIK) cells from healthy donors and examined their responses in vitro in an LDH release assay against three cell lines and allogeneic HLA non-matched blasts from three patients with de novo AML after coincubation with autologous peripheral blood monocyte-derived DCs. Although DCs were unable to enhance CIK cell effects against all three cell lines tested, the cytotoxic activity against the patients' AML cells increased after coculture with mature DCs, which was significant in two of three patients. However, neither prior pulsing of the DCs with blast cell lysates nor with leukemic cell-derived total RNA further enhanced the lytic capacity of the CIK cells. On the contrary, pulsing reduced or even reversed the cytotoxic activity of the effector cells. This decrease of allogeneic cytotoxicity led us to conclude that monocyte-derived DCs may be useful in autologous or allogeneic vaccine strategies for the treatment of AML or in priming donor lymphocytes in vitro, but unfractionated antigens as pulsing agents may have inhibitory effects on T cell efficiency and their employment in immunotherapeutic strategies for AML seems questionable., Immuntherapeutische Strategien können eine Behandlungsoption bei Patienten mit refraktärer akuter myeloischer Leukämie (AML) sein oder in den Fällen einer kompletten Remission nach konventionellen Therapieformen helfen, das Wiederauftreten der Krankheit zu verhindern oder die Zeit bis zur Progression zu verlängern. Es gibt Hinweise darauf, dass dendritische Zellen (DCs) eine zentrale Rolle in der Krebs-Immuntherapie spielen aufgrund ihrer Fähigkeit, tumorantigene Effektor-Zellen zu präsentieren. Wir stellten Zytokin-induzierte Killer (CIK)-Zellen von gesunden Spendern her und untersuchten deren Reaktionen in vitro in einem Laktatdehydrogenase (LDH)-Assay gegen Zelllinien und allogene HLA nicht übereinstimmende Blasten von drei Patienten mit de novo AML nach Koinkubation mit autologen aus dem peripheren Blut abgeleiteten DCs. Obwohl DCs die CIK Zellen Wirksamkeit gegen alle drei getesteten Zelllinien nicht verbessern konnten, wurde die zytotoxische Aktivität gegen die Patienten-AML-Zellen nach Kokultur mit reifen DCs in zwei von drei Patienten signifikant erhöht. Doch weder ein Pulsen der DCs mit blastären Zelllysaten noch mit aus leukämischen Zellen gewonnener Gesamt-RNA konnten die lytische Kapazität der CIK-Zellen weiter verbessern. Im Gegenteil, gepulste DCs reduzierten sogar die zytotoxische Aktivität der Effektorzellen. Dieser Rückgang der allogenen Zytotoxizität führte uns zu dem Schluss, dass von Monozyten abgeleitete DCs nützlich sein könnten in autologen oder allogenen Impfstrategien zur Behandlung von AML. Unfraktionierte Antigene zum Pulsen von DC können dagegen hemmende Wirkung auf T-Zellen haben.
Published: 2011

154. Indirekte Vergleiche von Therapieverfahren

Author: Schöttker, B, Lühmann, D, Boulkhemair, D, Raspe, H, Schöttker, B, Lühmann, D, Boulkhemair, D, and Raspe, H
Abstract: Health political background The comparison of the effectiveness of health technologies is not only laid down in German law (Social Code Book V, § 139 and § 35b) but also constitutes a central element of clinical guidelines and decision making in health care. Tools supporting decision making (e. g. Health Technology Assessments (HTA)) are therefore in need of a valid methodological repertoire for these comparisons. Scientific background Randomised controlled head-to-head trials which directly compare the effects of different therapies are considered the gold standard methodological approach for the comparison of the efficacy of interventions. Because this type of trial is rarely found, comparisons of efficacy often need to rely on indirect comparisons whose validity is being controversially debated. Research questions Research questions for the current assessment are: Which (statistical) methods for indirect comparisons of therapeutic interventions do exist, how often are they applied and how valid are their results in comparison to the results of head-to-head trials? Methods In a systematic literature research all medical databases of the German Institute of Medical Documentation and Information (DIMDI) are searched for methodological papers as well as applications of indirect comparisons in systematic reviews. Results of the literature analysis are summarized qualitatively for the characterisation of methods and quantitatively for the frequency of their application. The validity of the results from indirect comparisons is checked by comparing them to the results from the gold standard - a direct comparison. Data sets from systematic reviews which use both direct and indirect comparisons are tested for consistency by of the z-statistic. Results 29 methodological papers and 106 applications of indirect methods in systematic reviews are being analysed. Four methods for indirect comparisons can be identified: Unadjusted indirect comparisons include, independent of any, Gesundheitspolitischer Hintergrund Die vergleichende Nutzenbewertung von gesundheitsrelevanten Technologien ist nicht nur gesetzlich festgeschrieben (§ 139 und § 35b, SGB V: SGB = Sozialgesetzbuch), sondern ist auch ein zentrales Element von klinischen Leitlinien bzw. Entscheidungssituationen. Entscheidungsunterstützungsinstrumente wie Health Technology Assessments (HTA) sollten daher über ein valides methodisches Instrumentarium verfügen. Wissenschaftlicher Hintergrund Randomisierte kontrollierte Head-to-head-Studien, die Therapien direkt miteinander vergleichen, gelten als Goldstandard für den Wirksamkeitsvergleich. Da Studien dieses Typs nur begrenzt zur Verfügung stehen, sind Wirksamkeitsvergleiche auf indirekt vergleichende Methoden angewiesen, deren Validität allerdings noch kontrovers diskutiert wird. Fragestellung Fragestellungen für das vorliegende Assessment sind: Welche (statistischen) Methoden zur Durchführung indirekter Vergleiche therapeutischer Interventionen gibt es, wie häufig werden sie eingesetzt und wie ist ihre Validität im Vergleich zu den Ergebnissen direkter Vergleiche zu beurteilen? Methodik In einer systematischen Literaturrecherche werden die medizinnahen Datenbanken des Deutschen Instituts für medizinische Dokumentation und Information (DIMDI) nach Methodenpapieren und Anwendungen von indirekten Vergleichen in systematischen Reviews durchsucht. Die Literaturauswertung erfolgt qualitativ beschreibend (Methoden) und quantitativ für die Häufigkeit ihres Einsatzes. Eine Validitätsprüfung der Methoden für indirekte Therapievergleiche ist über den Vergleich ihrer Ergebnisse mit dem Goldstandard - den Ergebnissen von Head-to-head-Studien - möglich. In systematischen Reviews, in denen Therapieverfahren sowohl direkt als auch indirekt verglichen werden, werden diese Ergebnisse mithilfe der z-Statistik auf Übereinstimmung geprüft. Ergebnisse 29 Methodenpapiere und 106 Methodenanwendungen werden ausgewertet. Aus diesen lassen sich vier Methoden für
Published: 2009

155. Proinflammatorische Zytokine, Adiponektin und Risiko für primäre kardiovaskuläre Ereignisse in Patienten mit Typ-2-Diabetes: Ergebnisse der ESTHER-Studie

Author: Herder, C, primary, Schöttker, B, additional, Rothenbacher, D, additional, Roden, M, additional, Kolb, H, additional, Müller, H, additional, and Brenner, H, additional
Published: 2013
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156. Strong associations of 25-hydroxyvitamin D levels with all-cause, cardiovascular, cancer and respiratory disease mortality in a large cohort study

Author: Schöttker, B, primary, Haug, U, additional, Schomburg, L, additional, Köhrle, J, additional, Perna, L, additional, Müller, H, additional, Holleczek, B, additional, and Brenner, H, additional
Published: 2013
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157. Association of pre‐ and post‐natal parental smoking with offspring body mass index: an 8‐year follow‐up of a birth cohort

Author: Florath, I., primary, Kohler, M., additional, Weck, M. N., additional, Brandt, S., additional, Rothenbacher, D., additional, Schöttker, B., additional, Moß, A., additional, Gottmann, P., additional, Wabitsch, M., additional, and Brenner, H., additional
Published: 2013
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158. Fasting plasma glucose and HbA1c in cardiovascular risk prediction: a sex-specific comparison in individuals without diabetes mellitus

Author: Schöttker, B., primary, Müller, H., additional, Rothenbacher, D., additional, and Brenner, H., additional
Published: 2012
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159. Enhancement of UV-Sensitivity in GaN / GaAs Heterostructures by Si-Doping

Author: Lisker, M., primary, Witte, Hartmut, additional, Krtschil, A., additional, Christen, J., additional, As, Donat J., additional, Schöttker, B., additional, and Lischka, K., additional
Published: 2000
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160. Ion-channeling studies of cubic GaN and InxGa1−xN on GaAs substrates

Author: Portmann, J., primary, Haug, C., additional, Brenn, R., additional, Frey, T., additional, Schöttker, B., additional, and As, D.J., additional
Published: 1999
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161. Pressure and temperature effects on optical transitions in cubic GaN

Author: Liu, Z. X., primary, Goñi, A. R., additional, Syassen, K., additional, Siegle, H., additional, Thomsen, C., additional, Schöttker, B., additional, As, D. J., additional, and Schikora, D., additional
Published: 1999
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162. Growth of cubic InN on InAs(001) by plasma-assisted molecular beam epitaxy

Author: Lima, A.P, primary, Tabata, A, additional, Leite, J.R, additional, Kaiser, S, additional, Schikora, D, additional, Schöttker, B, additional, Frey, T, additional, As, D.J, additional, and Lischka, K, additional
Published: 1999
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163. Optical gain and stimulated emission of cleaved cubic gallium nitrite

Author: Holst, J., primary, Hoffmann, A., additional, Broser, I., additional, Schöttker, B., additional, As, D. J., additional, Schikora, D., additional, and Lischka, K., additional
Published: 1999
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164. Structural properties and Raman modes of zinc blende InN epitaxial layers

Author: Tabata, A., primary, Lima, A. P., additional, Teles, L. K., additional, Scolfaro, L. M. R., additional, Leite, J. R., additional, Lemos, V., additional, Schöttker, B., additional, Frey, T., additional, Schikora, D., additional, and Lischka, K., additional
Published: 1999
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165. Optical constants of cubic GaN in the energy range of 1.5–3.7 eV

Author: Köhler, U., primary, As, D. J., additional, Schöttker, B., additional, Frey, T., additional, Lischka, K., additional, Scheiner, J., additional, Shokhovets, S., additional, and Goldhahn, R., additional
Published: 1999
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166. Cathodoluminescence of homogeneous cubic GaN/GaAs(001) layers

Author: Wang, C, primary, As, D J, additional, Schöttker, B, additional, Schikora, D, additional, and Lischka, K, additional
Published: 1999
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167. Micro-Raman analysis of cubic GaN layers grown by MBE on (001) GaAs substrate

Author: Tabata, A, primary, Lima, A P, additional, Leite, J R, additional, Lemos, V, additional, Schikora, D, additional, Schöttker, B, additional, Köhler, U, additional, As, D J, additional, and Lischka, K, additional
Published: 1999
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168. Magneto-optical investigations on cubic GaN in high magnetic fields

Author: Stolpe, I, primary, Puhlmann, N, additional, Müller, H.-U, additional, Portugall, O, additional, von Ortenberg, M, additional, Schikora, D, additional, As, D.J, additional, Schöttker, B, additional, and Lischka, R, additional
Published: 1998
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169. Incorporation and optical properties of magnesium in cubic GaN epilayers grown by molecular beam epitaxy

Author: As, D. J., primary, Simonsmeier, T., additional, Schöttker, B., additional, Frey, T., additional, Schikora, D., additional, Kriegseis, W., additional, Burkhardt, W., additional, and Meyer, B. K., additional
Published: 1998
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170. Mechanisms of optical gain in cubic gallium nitrite

Author: Holst, J., primary, Eckey, L., additional, Hoffmann, A., additional, Broser, I., additional, Schöttker, B., additional, As, D. J., additional, Schikora, D., additional, and Lischka, K., additional
Published: 1998
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171. Cathodoluminescence of Cubic GaN Epilayers

Author: Wang, Cheng Ming, primary, As, Donat J., additional, Schikora, D., additional, Schöttker, B., additional, and Lischka, K., additional
Published: 1998
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172. An Accurate Method to Determine the Growth Conditions during Molecular Beam Epitaxy of Cubic GaN

Author: Schöttker, B., primary, Kühler, J., additional, As, Donat J., additional, Schikora, D., additional, and Lischka, K., additional
Published: 1998
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173. Micro-Raman and Electron Microscopy Analysis of Cubic GaN Layers on (001) GaAs

Author: Tabata, A., primary, Enderlein, R., additional, Lima, A.P., additional, Leite, J.R., additional, Lemos, V., additional, Kaiser, S., additional, Schikora, D., additional, Schöttker, B., additional, Köhler, U., additional, and Lischka, K., additional
Published: 1998
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174. The near band edge photoluminescence of cubic GaN epilayers

Author: As, D. J., primary, Schmilgus, F., additional, Wang, C., additional, Schöttker, B., additional, Schikora, D., additional, and Lischka, K., additional
Published: 1997
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175. Prognostic association of HbA1c and fasting plasma glucose with reduced kidney function in subjects with and without diabetes mellitus. Results from a population-based cohort study from Germany.

Author: Schöttker, B., Brenner, H., Koenig, W., Müller, H., and Rothenbacher, D.
Subjects: *DIABETES, *BLOOD sugar, *KIDNEY physiology, *COHORT analysis, *DOSE-response relationship in biochemistry, *CARDIOVASCULAR diseases risk factors, *PROGNOSIS
Abstract: Abstract: Objective: To determine the risk for incident reduced kidney function (RKF) of subjects with pre-diabetes (impaired fasting glucose (IFG, 5.6–6.9mmol/L)) or HbA1c-defined pre-diabetes (5.7%–6.4%) and to determine dose–response relationships of fasting glucose and HbA1c with RKF in subjects with manifest diabetes mellitus. Method: In a German population-based cohort, recruited 2000–2002 with ages 50–74years, log-binomial regression was used to estimate relative risks (RR) with 95% confidence intervals (95%CI) and restricted cubic splines to plot dose–response relationships. Results: During 8years of follow-up, 678 of 3538 study participants developed primary RKF. Although RKF risk factor prevalences and RKF incidences were higher in subjects with pre-diabetes than in subjects with normal FPG and/or HbA1c levels, an increased risk did not persist after adjusting for established cardiovascular risk factors (RR(IFG): 0.97 (95% CI: 0.75–1.25) and RR(HbA1c-defined pre-diabetes): 1.03 (95% CI: 0.86–1.23)). In subjects with manifest diabetes, RKF risk increased linearly to a more than three-fold risk with increasing fasting glucose and HbA1c levels (at HbA1c >6.4%). Conclusion: This study provides further evidence that pre-diabetes may not directly contribute to the development of kidney disease. Subjects with pre-diabetes might nevertheless profit from preventive efforts reducing their cardiovascular risk profile because cardiovascular and kidney disease share common risk factors. [Copyright &y& Elsevier]
Published: 2013
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176. Genetic variations in the vitamin D binding protein and season-specific levels of vitamin D among older adults.

Author: Perna L, Felix JF, Breitling LP, Haug U, Raum E, Burwinkel B, Schöttker B, Brenner H, Perna, Laura, Felix, Janine F, Breitling, Lutz P, Haug, Ulrike, Raum, Elke, Burwinkel, Barbara, Schöttker, Ben, and Brenner, Hermann
Abstract: Background: Vitamin D insufficiency is common among older adults. Genome-wide association studies have found an association between variants in the vitamin D binding protein and serum levels of vitamin D. The quantification of this association among older women and men and its potential variation by season remain unexplored.Methods: Serum levels of 25-hydroxyvitamin D [25(OH)D] and genetic variants in the vitamin D binding protein were analyzed in 2160 women and 1581 men age 50 to 74 years participating in a large population-based cohort study (ESTHER study-epidemiologic study assessing chances of prevention and early detection of various chronic diseases, including cancer among older adults) in Germany. Serum levels of 25(OH)D were assessed in relation to four single nucleotide polymorphisms (SNPs; rs4588, rs2282679, rs1155563, and rs12512631) by descriptive and multivariate analysis.Results: Both heterozygous and homozygous women and men carrying the rare allele with SNPs rs4588, rs2282679, or rs1155563 had lower levels of 25(OH)D in summer months than those homozygous for the wild-type alleles. Adjusted differences ranged from 5.1 to 5.4 nmol/l among heterozygous carriers of the rare alleles and from 8.8 to 9.6 nmol/l among homozygous carriers of the rare alleles. During winter months, 25(OH)D differences by genotype were smaller among women and not apparent among men.Conclusions: Older women and men living in a high-latitude region and carrying the rare alleles of SNPs rs4588, rs2282679, or rs1155563 seem to benefit less from higher levels of ultraviolet radiation during the summer season. [ABSTRACT FROM AUTHOR]
Published: 2013
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177. Longitudinal predictors of health-related quality of life in middle-aged and older adults with hypertension: results of a population-based study.

Author: Maatouk I, Wild B, Herzog W, Wesche D, Schellberg D, Schöttker B, Müller H, Rothenbacher D, Stegmaier C, and Brenner H
Published: 2012
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178. Smoking and All-Cause Mortality in Older People: Systematic Review and Meta-analysis Smoking and All-Cause Mortality in Older People.

Author: Gellert C, Schöttker B, and Brenner H
Published: 2012

179. Clinical utility of creatinine- and cystatin C-based definition of renal function for risk prediction of primary cardiovascular events in patients with diabetes.

Author: Schöttker B, Herder C, Müller H, Brenner H, Rothenbacher D, Schöttker, Ben, Herder, Christian, Müller, Heiko, Brenner, Hermann, and Rothenbacher, Dietrich
Abstract: Objective: To assess the cardiovascular risk of diabetic subjects with chronic kidney disease (CKD) based on different estimated glomerular filtration rate (eGFR) equations and to evaluate which definition of CKD best improves cardiovascular risk prediction of the Framingham Cardiovascular Risk Score (Framingham-CV-RS).Research Design and Methods: CKD was defined as eGFR <60 mL/min/1.73 m(2), estimated by the creatinine-based Modification of Diet in Renal Disease (MDRD) and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations and a cystatin C-based equation (CKD-CysC). Cox regression was used to estimate hazard ratios (HRs) of subjects with CKD for incident cardiovascular events in a cohort of 1,153 individuals with diabetes (baseline age 50-74 years). Furthermore, the CKD definitions were added individually to a reference model comprising the Framingham-CV-RS variables and HbA(1c), and measures of model discrimination and reclassification were assessed.Results: During 5 years of follow-up, 95 individuals had a primary cardiovascular event. Crude HRs were increased for all CKD definitions. However, after adjusting for established cardiovascular risk factors, HRs for both creatinine-based CKD definitions were attenuated to point estimates of 1.03, whereas the HRs for the cystatin C-based CKD definition remained significantly increased (HR 1.75 [95% CI 1.07-2.87]). Extension of the reference model by the different CKD definitions resulted in an increase in the c statistic only when adding CKD-CysC (from 0.638 to 0.644) along with a net reclassification improvement of 8.9%.Conclusions: Only the cystatin C-based CKD definition was an independent risk predictor for cardiovascular events in our diabetic study cohort and indicated a potentially better clinical utility for cardiovascular risk prediction than creatinine-based equations. [ABSTRACT FROM AUTHOR]
Published: 2012
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180. Five donors-one recipient: modeling a mosaic of granulocytes, natural killer and T cells from cord-blood and third-party donors.

Author: Schöttker B, Feuchtinger T, Schumm M, Klinker E, Handgretinger R, Einsele H, and Stuhler G
Abstract: BACKGROUND: A 21-year-old man was admitted to hospital because of leukocytosis, thrombocytopenia and anemia. The patient had been in good health until a few days earlier, when he developed fever and night sweats and his performance status dramatically declined. INVESTIGATIONS: Laboratory tests, immunophenotyping, cytogenetic analyses, bone-marrow biopsy, minimal residual disease analysis using quantitative real-time polymerase chain reaction, differential chimerism analysis using flow cytometry, mixed chimerism analysis, CT scans, electro-encephalography, cerebral magnetic resonance tomography. DIAGNOSIS: Bcr-abl-positive and Philadelphia-chromosome-positive acute lymphoblastic leukemia, and primary graft failure complicated by invasive fungal infection and cytomegalovirus encephalitis. MANAGEMENT: Double cord-blood rescue transplantation, third-party CD34-positive stem-cell rescue transplantation, third-party cytomegalovirus-specific T lymphocyte transplantation. [ABSTRACT FROM AUTHOR]
Published: 2008
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181. Smoking and All-cause Mortality in Older Adults: Results From the CHANCES Consortium

Author: Müezzinler A, Mons U, Gellert C, Schöttker B, Jansen E, Kee F, Doherty Mg, O., Kuulasmaa K, Nd, Freedman, Cc, Abnet, Wolk A, Håkansson N, Orsini N, Wilsgaard T, Bueno-de-Mesquita B, Yt, Schouw, Ph, Peeters, Lc, Groot, Peters A, Orfanos P, Linneberg A, Pisinger C, Tamosiunas A, Baceviciene M, Luksiene D, Bernotiene G, Jousilahti P, Petterson-Kymmer U, Jh, Jansson, Söderberg S, Eriksson S, Jankovic N, Mj, Sánchez, Giovanni Veronesi, Sans S, Drygas W, Trichopoulou A, Boffetta P, Brenner H, Müezzinler, A., Mons, U., Gellert, C., Schöttker, B., Jansen, E., Kee, F., O'Doherty, M.G., Kuulasmaa, K., Freedman, N.D., Abnet, C.C., Wolk, A., Håkansson, N., Orsini, N., Wilsgaard, T., Bueno-De-Mesquita, B., Van Der Schouw, Y.T., Peeters, P.H.M., De Groot, L.C.P.G.M., Peters, A., Orfanos, P., Linneberg, A., Pisinger, C., Tamosiunas, A., Baceviciene, M., Luksiene, D., Bernotiene, G., Jousilahti, P., Petterson-Kymmer, U., Jansson, J.H., Söderberg, S., Eriksson, S., Jankovic, N., Sánchez, M.-J., Veronesi, G., Sans, S., Drygas, W., Trichopoulou, A., Boffetta, P., and Brenner, H.
Subjects: Aged, 80 and over, Male, Epidemiology, Smoking, Environmental and Occupational Health, Age Factors, Public Health, Environmental and Occupational Health, Middle Aged, United States, Cohort Studies, Europe, Risk Factors, Smoking and All-cause Mortality, Humans, Female, Smoking Cessation, Public Health, Mortality, Aged, Proportional Hazards Models
Abstract: Introduction Smoking is known to be a major cause of death among middle-aged adults, but evidence on its impact and the benefits of smoking cessation among older adults has remained limited. Therefore, we aimed to estimate the influence of smoking and smoking cessation on all-cause mortality in people aged =60 years. Methods Relative mortality and mortality rate advancement periods (RAPs) were estimated by Cox proportional hazards models for the population-based prospective cohort studies from Europe and the U.S. (CHANCES [Consortium on Health and Ageing: Network of Cohorts in Europe and the U.S.]), and subsequently pooled by individual participant meta-analysis. Statistical analyses were performed from June 2013 to March 2014. Results A total of 489,056 participants aged =60 years at baseline from 22 population-based cohort studies were included. Overall, 99,298 deaths were recorded. Current smokers had 2-fold and former smokers had 1.3-fold increased mortality compared with never smokers. These increases in mortality translated to RAPs of 6.4 (95% CI=4.8, 7.9) and 2.4 (95% CI=1.5, 3.4) years, respectively. A clear positive dose-response relationship was observed between number of currently smoked cigarettes and mortality. For former smokers, excess mortality and RAPs decreased with time since cessation, with RAPs of 3.9 (95% CI=3.0, 4.7), 2.7 (95% CI=1.8, 3.6), and 0.7 (95% CI=0.2, 1.1) for those who had quit

182. Correction: Prediction of clinical diagnosis of Alzheimer’s disease, vascular, mixed, and all-cause dementia by a polygenic risk score and APOEstatus in a community-based cohort prospectively followed over 17 years

Author: Stocker, H., Perna, L., Weigl, K., Möllers, T., Schöttker, B., Thomsen, H., Holleczek, B., Rujescu, D., and Brenner, H.
Published: 2021
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183. First-Line Venetoclax Combinations in Chronic Lymphocytic Leukemia.

Author: Eichhorst, B., Niemann, C. U., Kater, A. P., Fürstenau, M., von Tresckow, J., Zhang, C., Robrecht, S., Gregor, M., Juliusson, G., Thornton, P., Staber, P. B., Tadmor, T., Lindström, V., da Cunha-Bang, C., Schneider, C., Poulsen, C. B., Illmer, T., Schöttker, B., Nösslinger, T., and Janssens, A.
Subjects: *CHRONIC lymphocytic leukemia, *VENETOCLAX, *PROGRESSION-free survival, *RITUXIMAB, *DISEASE progression
Abstract: BACKGROUND Randomized trials of venetoclax plus anti-CD20 antibodies as first-line treatment in fit patients (i.e., those with a low burden of coexisting conditions) with advanced chronic lymphocytic leukemia (CLL) have been lacking. METHODS In a phase 3, open-label trial, we randomly assigned, in a 1:1:1:1 ratio, fit patients with CLL who did not have TP53 aberrations to receive six cycles of chemoimmunotherapy (fludarabine–cyclophosphamide–rituximab or bendamustine–rituximab) or 12 cycles of venetoclax–rituximab, venetoclax–obinutuzumab, or venetoclax–obinutuzumab–ibrutinib. Ibrutinib was discontinued after two consecutive measurements of undetectable minimal residual disease or could be extended. The primary end points were undetectable minimal residual disease (sensitivity, <10−4 [i.e., <1 CLL cell in 10,000 leukocytes]) as assessed by flow cytometry in peripheral blood at month 15 and progression-free survival. RESULTS A total of 926 patients were assigned to one of the four treatment regimens (229 to chemoimmunotherapy, 237 to venetoclax–rituximab, 229 to venetoclax–obinutuzumab, and 231 to venetoclax–obinutuzumab–ibrutinib). At month 15, the percentage of patients with undetectable minimal residual disease was significantly higher in the venetoclax–obinutuzumab group (86.5%; 97.5% confidence interval [CI], 80.6 to 91.1) and the venetoclax–obinutuzumab–ibrutinib group (92.2%; 97.5% CI, 87.3 to 95.7) than in the chemoimmunotherapy group (52.0%; 97.5% CI, 44.4 to 59.5; P<0.001 for both comparisons), but it was not significantly higher in the venetoclax–rituximab group (57.0%; 97.5% CI, 49.5 to 64.2; P=0.32). Three-year progression-free survival was 90.5% in the venetoclax–obinutuzumab–ibrutinib group and 75.5% in the chemoimmunotherapy group (hazard ratio for disease progression or death, 0.32; 97.5% CI, 0.19 to 0.54; P<0.001). Progression-free survival at 3 years was also higher with venetoclax–obinutuzumab (87.7%; hazard ratio for disease progression or death, 0.42; 97.5% CI, 0.26 to 0.68; P<0.001), but not with venetoclax–rituximab (80.8%; hazard ratio, 0.79; 97.5% CI, 0.53 to 1.18; P=0.18). Grade 3 and grade 4 infections were more common with chemoimmunotherapy (18.5%) and venetoclax–obinutuzumab–ibrutinib (21.2%) than with venetoclax–rituximab (10.5%) or venetoclax–obinutuzumab (13.2%). CONCLUSIONS Venetoclax–obinutuzumab with or without ibrutinib was superior to chemoimmunotherapy as first-line treatment in fit patients with CLL. (Funded by AbbVie and others; GAIA–CLL13 ClinicalTrials.gov number, NCT02950051. opens in new tab; EudraCT number, 2015-004936-36. opens in new tab.) [ABSTRACT FROM AUTHOR]
Published: 2023
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184. Vitamin D Supplementation Found to Reduce Mortality in the Elderly.

Author: Schöttker, B. and Ball, D.
Abstract: In a meta-analysis of prospective, population-based, cohort studies, researchers found that an increase in vitamin D levels was associated with a lower mortality rate in the general elderly population. Review and meta-analysis followed studies (n=12) involving elderly participants (n=32,142) whose vitamin D levels were measured. An inverse association was found between vitamin D levels and all-cause mortality in all but two studies. A 20 nmol/l increase in vitamin D levels was inversely associated with all-cause mortality. These findings suggest that an increase in vitamin D levels is associated with an 8% lower mortality in the general elderly population. These results add to the growing data on the importance of attaining adequate vitamin D levels [ABSTRACT FROM AUTHOR]
Published: 2012

185. 356P Real-world effectiveness in subgroups of palbociclib + endocrine therapy in HR+/HER2- ABC patients: Interim results of the PERFORM study.

Author: Pfeiler, G., Korell, M., Radosa, J.C., Decker, T., Deryal, M., Fietz, T.J., Köhler, A., Schöttker, B., Wilke, J., Knoblich, J., Petersen, V., Dietrich, M., Gabrysiak, T., Krueger, H., Zanucco, E., Adams, A., Glasstetter, M., Woerner, S.M., Bartsch, R., and Lux, M.P.
Subjects: *HORMONE therapy
Published: 2024
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186. Alcoholic Beverage Preference and Dietary Habits in Elderly across Europe: Analyses within the Consortium on Health and Ageing: Network of Cohorts in Europe and the United States (CHANCES) Project

Author: Olov Rolandsson, Christina Bamia, José María Huerta, Oscar H. Franco, Mark G. O'Doherty, Lisette C. P. G. M. de Groot, Antonia Trichopoulou, Nicole Jankovic, Daan Kromhout, Jolanda M. A. Boer, Heidi P. Fransen, Begona Martinez, Jessica C. Kiefte-de Jong, Diewertje Sluik, Paolo Boffetta, Jean Ferrières, Ben Schöttker, Anouk Geelen, Sture Eriksson, Edith J. M. Feskens, Frank Kee, Sluik, D., Jankovic, N., O'Doherty, M.G., Geelen, A., Schöttker, B., Rolandsson, O., Kiefte-De Jong, J.C., Ferrieres, J., Bamia, C., Fransen, H.P., Boer, J.M.A., Eriksson, S., Martínez, B., Huerta, J.M., Kromhout, D., De Groot, L.C.P.G.M., Franco, O.H., Trichopoulou, A., Boffetta, P., Kee, F., Feskens, E.J.M., [Sluik, Diewertje] Wageningen Univ, Div Human Nutr, Wageningen, Netherlands, [Jankovic, Nicole] Wageningen Univ, Div Human Nutr, Wageningen, Netherlands, [Geelen, Anouk] Wageningen Univ, Div Human Nutr, Wageningen, Netherlands, [Kromhout, Daan] Wageningen Univ, Div Human Nutr, Wageningen, Netherlands, [de Groot, Lisette C. P. G. M.] Wageningen Univ, Div Human Nutr, Wageningen, Netherlands, [Feskens, Edith J. M.] Wageningen Univ, Div Human Nutr, Wageningen, Netherlands, [Jankovic, Nicole] Univ Duisburg Essen, Fac Med, Ctr Clin Epidemiol, Inst Med Informat Biometry & Epidemiol, Essen, Germany, [O'Doherty, Mark G.] Queens Univ Belfast, UKCRC Ctr Excellence Publ Hlth, Belfast, Antrim, North Ireland, [Kee, Frank] Queens Univ Belfast, UKCRC Ctr Excellence Publ Hlth, Belfast, Antrim, North Ireland, [Schoettker, Ben] German Canc Res Ctr, Div Clin Epidemiol & Aging Res, Heidelberg, Germany, [Schoettker, Ben] FOM Univ, Inst Hlth Care & Social Sci, Essen, Germany, [Rolandsson, Olov] Umea Univ, Dept Publ Hlth & Clin Med, Family Med, Umea, Sweden, [Eriksson, Sture] Umea Univ, Dept Publ Hlth & Clin Med, Family Med, Umea, Sweden, [Kiefte-de Jong, Jessica C.] Leiden Univ Coll, Global Publ Hlth, The Hague, Netherlands, [Kiefte-de Jong, Jessica C.] Erasmus MC, Dept Epidemiol, Rotterdam, Netherlands, [Franco, Oscar H.] Erasmus MC, Dept Epidemiol, Rotterdam, Netherlands, [Ferrieres, Jean] Toulouse Univ, Sch Med, Dept Cardiol, Toulouse, France, [Bamia, Christina] Hellen Hlth Fdn, Athens, Greece, [Trichopoulou, Antonia] Hellen Hlth Fdn, Athens, Greece, [Boffetta, Paolo] Hellen Hlth Fdn, Athens, Greece, [Bamia, Christina] Univ Athens, Unit Nutr Epidemiol & Nutr Publ Hlth, Dept Hyg Epidemiol & Med Stat, WHO Collaborating Ctr Nutr & Hlth,Sch Med, Athens, Greece, [Trichopoulou, Antonia] Univ Athens, Unit Nutr Epidemiol & Nutr Publ Hlth, Dept Hyg Epidemiol & Med Stat, WHO Collaborating Ctr Nutr & Hlth,Sch Med, Athens, Greece, [Fransen, Heidi P.] Univ Med Ctr Utrecht, Julius Ctr Hlth Sci & Primary Care, Utrecht, Netherlands, [Boer, Jolanda M. A.] Natl Inst Publ Hlth & Environm RIVM, Bilthoven, Netherlands, [Martinez, Begona] Univ Granada, Hosp Univ Granada, Escuela Andaluza Salud Publ, Inst Invest Biosanitaria Ibs Granada, Granada, Spain, [Martinez, Begona] CIBER Epidemiol Salud Publ CIBERESP, Madrid, Spain, [Maria Huerta, Jose] CIBER Epidemiol Salud Publ CIBERESP, Madrid, Spain, [Maria Huerta, Jose] IMIB Arrixaca, Murcia Reg Hlth Council, Dept Epidemiol, Murcia, Spain, [Boffetta, Paolo] Mt Sinai Sch Med, Icahn Sch Med, New York, NY USA, European Foundation for Alcohol Research (ERAB), Dutch Beer Institute, FP7 framework programme of the Directorate General for Research & Innovation in the European Commission, Health Research Fund (FIS) of the Spanish Ministry of Health (Spain), CIBER de Epidemiologia y Salud Publica (CIBERESP), Spanish Regional Governments of Andalucia, Asturias, Basque Country, Murcia, Navarra (Spain), Medical Research Council, [Sluik,D, Jankovic,N, Geelen,A, Kromhout,D, Groo,LPCGM, Feskens,EJM] Division of Human Nutrition, Wageningen University, Wageningen, the Netherland. [Jankovic,N] Centre of Clinical Epidemiology, Institute for Medical Informatics, Biometry and Epidemiology, Faculty of Medicine, University Duisburg-Essen, Essen, Germany. [O’Doherty,MG, Kee,F] UKCRC Centre of Excellence for Public Health, Queens University Belfast, Belfast, Northern Ireland. [Schöttker,B] Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany. Institute of Health Care and Social Sciences, FOM University, Essen, Germany. [Rolandsson,O, Eriksson,S] Department of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden. [Kiefte-de Jong,JC] Global Public Health, Leiden University College, the Hague, the Netherlands. [Kiefte-de Jong,JC, Franco,OH] Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands. [Ferrieres,J] Department of Cardiology, Toulouse University School of Medicine, Toulouse, France. [Bamia,C, Trichopoulou,A, Boffetta,P] Hellenic Health Foundation, Athens, Greece. [Bamia,C, Trichopoulou,A] WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece. [Fransen,HP] Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands. [Boer,JMA] National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands. [Martínez,B] Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria ibs.Granada, Hospitales Universitaios de Granada/Universidad de Granada, Granada, Spain. [Martínez,B, Huerta,JM] CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain. [Huerta,JM] Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain. [Boffetta,P] Icahn School of Medicine, Mount Sinai School of Medicine, New York, United States of America., The work of DS was supported by the European Foundation for Alcohol Research (ERAB) and the Dutch Beer Institute. The sponsor did not have any role in the design and conduct of the study, collection, management, analysis and interpretation of the data, and preparation, review or approval of the manuscript. This analysis was part of the Consortium on Health and Ageing (CHANCES) project funded in the FP7 framework programme of the DirectorateGeneral for Research & Innovation in the European Commission (grant 242244). The CHANCES project is coordinated by the Hellenic Health Foundation, Greece. The EPIC-Elderly Study was partially supported by the Health Research Fund (FIS) of the Spanish Ministry of Health (Spain), the CIBER de Epidemiología y Salud Pública (CIBERESP), and the Spanish Regional Governments of Andalucia, Asturias, Basque Country, Murcia (no. 6236) and Navarra (Spain), and Epidemiology
Subjects: Male, Aging, General Practice, Wine, Biochemistry, Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans [Medical Subject Headings], Technology, Industry, Agriculture::Food and Beverages::Beverages::Alcoholic Beverages::Beer [Medical Subject Headings], 0302 clinical medicine, Elderly, Surveys and Questionnaires, lcsh:Science, Determinants, Human Nutrition & Health, Geriatrics, Aged, 80 and over, Drinking patterns, Humane Voeding & Gezondheid, Geographicals::Geographic Locations::Europe [Medical Subject Headings], Beer, food and beverages, Lipids, Humanos, 3. Good health, Näringslära, Life-style, Cerveza, Dieta, Estados unidos, Enfermedades cardiovasculares, Geographicals::Geographic Locations::Americas::North America::United States [Medical Subject Headings], Factores de riesgo, Cohort study, medicine.medical_specialty, Alcohol Drinking, Anciano, Consumption patterns, Guidelines, Social class, 03 medical and health sciences, Humans, Diseases::Cardiovascular Diseases [Medical Subject Headings], Life Style, Aged, VLAG, Global Nutrition, Wereldvoeding, Ethanol, lcsh:R, Biology and Life Sciences, Technology, Industry, Agriculture::Food and Beverages::Beverages::Alcoholic Beverages::Wine [Medical Subject Headings], Allmänmedicin, 030104 developmental biology, Social Class, lcsh:Q, Observational study, Population Groupings, 0301 basic medicine, Gerontology, Multivariate statistics, Nutrition and Disease, Medizin, lcsh:Medicine, Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Probability::Risk::Risk Factors [Medical Subject Headings], Cohort Studies, Fats, Rotterdam Study, Voeding en Ziekte, Medicine and Health Sciences, 030212 general & internal medicine, Technology, Industry, Agriculture::Food and Beverages::Beverages::Alcoholic Beverages [Medical Subject Headings], 2. Zero hunger, Multidisciplinary, Alcohol Consumption, Nutrition and Dietetics, Alcoholic Beverages, Vino, Middle Aged, Bebidas alcohólicas, Preference, Europe, Hábitos alimenticios, Female, Research Article, Alcoholic beverage - cardiovascular risk, Population, Spirits, Phenomena and Processes::Physiological Phenomena::Nutritional Physiological Phenomena::Diet [Medical Subject Headings], Beverages, Food Preferences, Environmental health, medicine, Life Science, Europa (Continente), Named Groups::Persons::Age Groups::Adult::Aged [Medical Subject Headings], Mortality, Nutrition, business.industry, Feeding Behavior, Psychiatry and Psychology::Behavior and Behavior Mechanisms::Behavior::Feeding Behavior::Food Habits [Medical Subject Headings], Diet, Age Groups, People and Places, business
Abstract: Introduction: The differential associations of beer, wine, and spirit consumption on cardiovascular risk. Alcoholic beverage preference and dietary habits in elderly across Europe: Analyses within the Consortium on Health and Ageing: Network of Cohorts in Europe and the United States (CHANCES) project found in observational studies may be confounded by diet. We described and compared dietary intake and diet quality according to alcoholic beverage preference in European elderly. Methods: From the Consortium on Health and Ageing: Network of Cohorts in Europe and the United States (CHANCES), seven European cohorts were included, i.e. four sub-cohorts from EPIC-Elderly, the SENECA Study, the Zutphen Elderly Study, and the Rotterdam Study. Harmonized data of 29,423 elderly participants from 14 European countries were analyzed. Baseline data on consumption of beer, wine, and spirits, and dietary intake were collected with questionnaires. Diet quality was assessed using the Healthy Diet Indicator (HDI). Intakes and scores across categories of alcoholic beverage preference (beer, wine, spirit, no preference, non-consumers) were adjusted for age, sex, socio-economic status, self-reported prevalent diseases, and lifestyle factors. Cohort-specific mean intakes and scores were calculated as well as weighted means combining all cohorts. Results: In 5 of 7 cohorts, persons with a wine preference formed the largest group. After multivariate adjustment, persons with a wine preference tended to have a higher HDI score and intake of healthy foods in most cohorts, but differences were small. The weighted estimates of all cohorts combined revealed that non-consumers had the highest fruit and vegetable intake, followed by wine consumers. Non-consumers and persons with no specific preference had a higher HDI score, spirit consumers the lowest. However, overall diet quality as measured by HDI did not differ greatly across alcoholic beverage preference categories. Discussion: This study using harmonized data from ~30,000 elderly from 14 European countries showed that, after multivariate adjustment, dietary habits and diet quality did not differ greatly according to alcoholic beverage preference. © 2016 Sluik et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Published: 2016
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187. Incident depression and mortality among people with different types of dementia: results from a longitudinal cohort study.

Author: Perna, Laura, Wahl, H. W., Weberpals, J., Jansen, L., Mons, U., Schöttker, B., and Brenner, H.
Subjects: *COMORBIDITY, *VASCULAR dementia, *DEMENTIA, *ALZHEIMER'S disease, *COHORT analysis, *LONGITUDINAL method, *MENTAL depression, *SURVIVAL analysis (Biometry), *DISEASE incidence, *PROPORTIONAL hazards models, *PSYCHOLOGY
Abstract: Purpose: The aim of this study was to investigate the independent and combined association of incident depression and dementia with mortality and to explore whether the magnitude of the association varies according to different types of dementia, including Alzheimer's disease and vascular dementia.Methods and Design: The study was based on a population-based longitudinal cohort consisting of 9940 participants at baseline and followed for over 14 years. The sample used for the analyses included 6114 participants with available information on diagnosis of incident dementia and depression. For survival analyses, Cox regression models with incident dementia (n = 293; 5%) and incident depression (n = 746; 12%) as time-dependent variables were used.Results: Cox models adjusted for relevant confounders indicated that comorbidity of incident vascular dementia and incident depression was associated with a much higher mortality risk (HR 6.99; 95% CI 3.84-12.75) than vascular dementia in the absence of depression (HR 2.80; 95% CI 1.92-4.08). In contrast, estimates for comorbidity of Alzheimer's disease and depression were slightly lower than those for Alzheimer in absence of depression (HR 3.56; 95% CI 1.83-6.92 and HR 4.19; 95% CI 2.97-5.90, respectively). Incident depression in the absence of incident dementia was only weakly associated with mortality.Conclusions: These findings indicate that depression and vascular dementia might have synergistic effects on mortality. The results have relevant public health implications for prevention, routine screening for and early treatment of depression among older people, especially those at risk of vascular dementia. [ABSTRACT FROM AUTHOR]
Published: 2019
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188. Association of generalized anxiety symptoms and panic with health care costs in older age-Results from the ESTHER cohort study.

Author: Hohls, J.K., Wild, B., Heider, D., Brenner, H., Böhlen, F., Saum, K.U., Schöttker, B., Matschinger, H., Haefeli, W.E., König, H.-H., and Hajek, A.
Subjects: *MEDICAL care costs, *MENTAL health services, *MEDICAL care, *OUTPATIENT medical care, *COHORT analysis, *HOSPITAL care, *MEDICAL care cost statistics, *ANXIETY, *MENTAL depression, *LONGITUDINAL method, *PANIC disorders, *REGRESSION analysis, *COMORBIDITY, *ANXIETY disorders, *CROSS-sectional method, *ODDS ratio, *ECONOMICS
Abstract: Background: Little is known specifically about the association between generalized anxiety symptoms or panic and health care costs in older age. The aim of this study was to examine the association between generalized anxiety symptoms, panic and health care costs in people aged 65 and over.Methods: Cross-sectional data from the 8-year follow-up of a large, prospective cohort study, the ESTHER study, was used. Individuals aged 65 and over, who participated in the study's home assessment, were included in this analysis (n = 2348). Total and sectoral costs were analyzed as a function of either anxiety symptoms, probable panic disorder, or a panic attack, while controlling for selected covariates, using Two Part and Generalized Linear Models. Covariates were chosen based on Andersen's Behavioral Model of Health Care Use.Results: There was no significant association between either of the anxiety or panic measures and total health care costs. Stratified by health care sectors, only the occurrence of a panic attack was significantly associated with incurring costs for outpatient non-physician services (OR: 1.99; 95% CI: 1.15-3.45) and inpatient services (OR: 2.14; 95% CI: 1.07-4.28). Other illness-related factors, such as comorbidities and depressive symptoms, were associated with health care costs in several models.Limitations: This was a cross-sectional study relying on self-reported data.Conclusion: This study points to an association between a panic attack and sector-specific health care costs in people aged 65 and over. Further research, especially using longitudinal data, is needed. [ABSTRACT FROM AUTHOR]
Published: 2019
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189. Excess mortality after hip fracture in elderly persons from Europe and the USA: the CHANCES project.

Author: Katsoulis, M., Benetou, V., Karapetyan, T., Feskanich, D., Grodstein, F., Pettersson‐Kymmer, U., Eriksson, S., Wilsgaard, T., Jørgensen, L., Ahmed, L. A., Schöttker, B., Brenner, H., Bellavia, A., Wolk, A., Kubinova, R., Stegeman, B., Bobak, M., Boffetta, P., and Trichopoulou, A.
Subjects: *HIP fractures, *MORTALITY, *OLDER people's injuries, *CAUSES of death, *META-analysis
Abstract: Background: Hip fractures are associated with diminished quality of life and survival especially amongst the elderly.Objective: All-cause mortality after hip fracture was investigated to assess its magnitude.Methods: A total of 122 808 participants from eight cohorts in Europe and the USA were followed up for a mean of 12.6 years, accumulating 4273 incident hip fractures and 27 999 deaths. Incident hip fractures were assessed through telephone interviews/questionnaires or national inpatient/fracture registries, and causes of death were verified with death certificates. Cox proportional hazards models and the time-dependent variable methodology were used to assess the association between hip fracture and mortality and its magnitude at different time intervals after the injury in each cohort. We obtained the effect estimates through a random-effects meta-analysis.Results: Hip fracture was positively associated with increased all-cause mortality; the hazard ratio (HR) in the fully adjusted model was 2.12, 95% confidence interval (CI) 1.76-2.57, after adjusting for potential confounders. This association was stronger amongst men [HR: 2.39, 95% CI: 1.72-3.31] than amongst women [HR: 1.92, 95% CI: 1.54-2.39], although this difference was not significant. Mortality was higher during the first year after the hip fracture [HR: 2.78, 95% CI: 2.12-3.64], but it remained elevated without major fluctuations after longer time since hip fracture [HR (95% CI): 1.89 (1.50-2.37) after 1-4 years; 2.15 (1.81-2.55) after 4-8 years; 1.79 (1.57-2.05) after 8 or more years].Conclusion: In this large population-based sample of older persons across eight cohorts, hip fracture was associated with excess short- and long-term all-cause mortality in both sexes. [ABSTRACT FROM AUTHOR]
Published: 2017
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190. SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe

Author: Hageman, S., Pennells, L., Ojeda, F., Kaptoge, S., Kuulasmaa, K., Vries, T. de, Xu, Z., Kee, F., Chung, R., Wood, A., McEvoy, J.W., Veronesi, G., Bolton, T., Dendale, P., Ference, B.A., Halle, M., Timmis, A., Vardas, P., Danesh, J., Graham, I., Salomaa, V., Visseren, F., Bacquer, D. de, Blankenberg, S., Dorresteijn, J., Angelantonio, E. di, Achenbach, S., Aleksandrova, K., Amiano, P., Amouyel, P., Andersson, J., Bakker, S.J.L., Costa, R.B.D., Beulens, J.W.J., Blaha, M., Bobak, M., Boer, J.M.A., Bonet, C., Bonnet, F., Boutron-Ruault, M.C., Braaten, T., Brenner, H., Brunner, F., Brunner, E.J., Brunstrom, M., Buring, J., Butterworth, A.S., Capkova, N., Cesana, G., Chrysohoou, C., Colorado-Yohar, S., Cook, N.R., Cooper, C., Dahm, C.C., Davidson, K., Dennison, E., Castelnuovo, A. di, Donfrancesco, C., Dorr, M., Dorynska, A., Eliasson, M., Engstrom, G., Ferrari, P., Ferrario, M., Ford, I., Fu, M., Gansevoort, R.T., Giampaoli, S., Gillum, R.F., Camara, A.G. de la, Grassi, G., Hansson, P.O., Huculeci, R., Hveem, K., Iacoviello, L., Ikram, M.K., Jorgensen, T., Joseph, B., Jousilahti, P., Jukema, J.W., Kaaks, R., Katzke, V., Kavousi, M., Kiechl, S., Klotsche, J., Konig, W., Kronmal, R.A., Kubinova, R., Kucharska-Newton, A., Lall, K., Lehmann, N., Leistner, D., Linneberg, A., Pablos, D.L., Lorenz, T., Lu, W.T., Luksiene, D., Lyngbakken, M., Magnussen, C., Malyutina, S., Ibanez, A.M., Masala, G., Mathiesen, E.B., Matsushita, K., Meade, T.W., Melander, O., Meyer, H.E., Moons, K.G.M., Moreno-Iribas, C., Muller, D., Munzel, T., Nikitin, Y., Nordestgaard, B.G., Omland, T., Onland, C., Overvad, K., Packard, C., Pajak, A., Palmieri, L., Panagiotakos, D., Panico, S., Perez-Cornago, A., Peters, A., Pietila, A., Pikhart, H., Psaty, B.M., Quarti-Trevano, F., Garcia, J.R.Q., Riboli, E., Ridker, P.M., Rodriguez, B., Rodriguez-Barranco, M., Rosengren, A., Roussel, R., Sacerdote, C., Sans, S., Sattar, N., Schiborn, C., Schmidt, B., Schottker, B., Schulze, M., Schwartz, J.E., Selmer, R.M., Shea, S., Shipley, M.J., Sieri, S., Soderberg, S., Sofat, R., Tamosiunas, A., Thorand, B., Tillmann, T., Tjonneland, A., Tong, T.Y.N., Trichopoulou, A., Tumino, R., Tunstall-Pedoe, H., Tybjaerg-Hansen, A., Tzoulaki, J., Heijden, A. van der, Schouw, Y.T. van der, Verschuren, W.M.M., Volzke, H., Waldeyer, C., Wareham, N.J., Weiderpass, E., Weidinger, F., Wild, P., Willeit, J., Willeit, P., Wilsgaard, T., Woodward, M., Zeller, T., Zhang, D.D., Zhou, B., SCORE2 Working Grp, ESC Cardiovasc Risk Collaboration, collaboration, SCORE2 working group and ESC Cardiovascular risk, Groningen Institute for Organ Transplantation (GIOT), Groningen Kidney Center (GKC), Cardiovascular Centre (CVC), Epidemiology, Neurology, 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, and Apollo - University of Cambridge Repository
Subjects: Male, Cardiology, RATIONALE, Blood Pressure, Disease, 030204 cardiovascular system & hematology, PROFILE, ACUTE CORONARY EVENTS, VALIDATION, Europe/epidemiology, 03 medical and health sciences, 0302 clinical medicine, SDG 3 - Good Health and Well-being, DESIGN, Clinical Research, Risk Factors, Diabetes mellitus, medicine, PARTICIPANTS, Humans, 030212 general & internal medicine, Risk factor, Aged, Primary prevention, business.industry, 10-year CVD risk, Incidence (epidemiology), Cardiovascular Diseases/epidemiology, Risk Prediction, Cardiovascular Disease, Primary Prevention, 10-year Cvd Risk, External validation, PRIMARY-CARE, Middle Aged, medicine.disease, Cardiovascular disease, Risk prediction, 3. Good health, Europe, Prediction algorithms, Blood pressure, Cardiovascular Diseases, Smoking status, Female, Cardiology and Cardiovascular Medicine, business, Algorithms, Demography
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. Acknowledgements We thank investigators and participants of the several studies that contributed data to the Emerging Risk Factors Collaboration (ERFC). This research has been conducted using the UK Biobank Resource under Application Number 26865. Data from the Clinical Practice Research Datalink (CPRD) were obtained under licence from the UK Medicines and Healthcare products Regulatory Agency (protocol 162RMn2). CPRD uses data provided by patients and collected by the NHS as part of their care and support. We thank all EPIC participants and staff for their contribution to the study, the laboratory teams at the Medical Research Council Epidemiology Unit for sample management and Cambridge Genomic Services for genotyping, Sarah Spackman for data management and the team at the EPIC-CVD Coordinating Centre for study co-ordination and administration. Funding The ERFC co-ordinating centre was underpinned by programme grants from the British Heart Foundation (SP/09/002; RG/13/13/30194; RG/18/13/33946), BHF Centre of Research Excellence (RE/18/1/34212), the UK Medical Research Council (MR/L003120/1), and the National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre (BRC1215-20014), with project-specific support received from the UK NIHR [*], British United Provident Association UK Foundation and an unrestricted educational grant from GlaxoSmithKline. A variety of funding sources have supported recruitment, follow-up, and laboratory measurements in the studies contributing data to the ERFC, which are listed on the ERFC website (www.phpc.cam.ac.uk/ceu/erfc/list-of-studies). *The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. This work was supported by Health Data Research UK, which is funded by the UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, Department of Health and Social Care (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government), Public Health Agency (Northern Ireland), British Heart Foundation, and Wellcome. The MORGAM Project has received funding from EU projects MORGAM (Biomed BMH4-CT98-3183), GenomEUtwin (FP5, QLG2-CT-2002-01254), ENGAGE (FP7, HEALTH-F4-2007-201413),CHANCES (FP7, HEALTH-F3-2010-242244), BiomarCaRE (FP7,HEALTH-F2-2011-278913), euCanSHare (Horizon 2020, No. 825903) and AFFECT-EU (Horizon 2020, No. 847770); and Medical Research Council, London (G0601463, No. 80983: Biomarkers in the MORGAM Populations). This has supported central coordination, workshops and part of the activities of the MORGAM Data Centre, the MORGAM Laboratories and the MORGAM Participating Centres EPIC-CVD was funded by the European Research Council (268834), and the European Commission Framework Programme 7 (HEALTH-F2-2012-279233). This work was supported by the Estonian Research Council grant PUTs (PRG687, PUT1660, PUT1665, PRG184), by European Union through the European Regional Development Fund project no. MOBERA5 (Norface Network project no 462.16.107), by the Green ICT programme under Norway Grants 2014 – 2021 (grant number EU53928), by the European Union through Horizon 2020 grant no. 810645 and through the European Regional Development Fund (Project No. 2014-2020.4.01.16-0125) and by the PRECISE4Q consortium. PRECISE4Q project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant agreement 777107. This work was partly funded through the CoMorMent project. CoMorMent has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant agreement 847776. The KORA study was initiated and financed by the Helmholtz Zentrum Mu¨nchen—German Research Center for Environmental Health, which is funded by the German Federal Ministry of Education and Research (BMBF) and by the State of Bavaria. The KORA study was supported by a research grant from the Virtual Institute of Diabetes Research (Helmholtz Zentrum Mu¨nchen), the Clinical Cooperation Group Diabetes between Ludwig-Maximilians-Universita¨t Mu¨nchen and Helmholtz Zentrum Mu¨nchen, and by the German Diabetes Center (DDZ). The HAPIEE project, Institute, was supported by grants from the Wellcome Trust (064947/Z/01/Z; WT081081) and US National Institute on Aging (1R01 and AG23522). The co-ordination of EPIC is financially supported by International Agency for Research on Cancer (IARC) and also by the Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, which has additional infrastructure support provided by the NIHR Imperial Biomedical Research Centre (BRC). The national cohorts are supported by: Danish Cancer Society (Denmark); Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle Ge´ne´rale de l’Education Nationale, Institut National de la Sante´ et de la Recherche Me´dicale (INSERM) (France); German Cancer Aid, German Cancer Research Center (DKFZ), German Institute of Human Nutrition Potsdam Rehbruecke (DIfE), Federal Ministry of Education and Research (BMBF) (Germany); Associazione Italiana per la Ricerca sul Cancro-AIRC-Italy, Compagnia di SanPaolo and National Research Council (Italy); Dutch 2448 SCORE2 working group and ESC Cardiovascular Risk Collaboration Ministry of Public Health, Welfare and Sports (VWS), Netherlands Cancer Registry (NKR), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF), Statistics Netherlands (The Netherlands); Health Research Fund (FIS)—Instituto de Salud Carlos III (ISCIII), Regional Governments of Andalucı´a, Asturias, Basque Country, Murcia and Navarra, and the Catalan Institute of Oncology—ICO (Spain); Swedish Cancer Society, Swedish Research Council and County Councils of Ska˚ne and Va¨sterbotten (Sweden); Cancer Research UK (14136 to EPIC-Norfolk; C8221/A29017 to EPIC-Oxford), Medical Research Council (1000143 to EPIC-Norfolk; MR/M012190/1 to EPIC-Oxford) (United Kingdom)
Published: 2021
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191. Education, marital status, and risk of hip fractures in older men and women: the CHANCES project.

Author: Benetou, V., Orfanos, P., Feskanich, D., Michaëlsson, K., Pettersson-Kymmer, U., Ahmed, L., Peasey, A., Wolk, A., Brenner, H., Bobak, M., Wilsgaard, T., Schöttker, B., Saum, K.-U., Bellavia, A., Grodstein, F., Klinaki, E., Valanou, E., Papatesta, E.-M., Boffetta, P., and Trichopoulou, A.
Subjects: *RISK factors of fractures, *HIP joint injuries, *ACADEMIC medical centers, *CONFIDENCE intervals, *EDUCATION, *MARITAL status, *REGRESSION analysis, *RESEARCH funding, *PROPORTIONAL hazards models, *DATA analysis software, *DESCRIPTIVE statistics, *OLD age, *INJURY risk factors
Abstract: Summary: The role of socioeconomic status in hip fracture incidence is unclear. In a diverse population of elderly, higher education was found to be associated with lower, whereas living alone, compared to being married/cohabiting, with higher hip fracture risk. Educational level and marital status may contribute to hip fracture risk. Introduction: The evidence on the association between socioeconomic status and hip fracture incidence is limited and inconsistent. We investigated the potential association of education and marital status with hip fracture incidence in older individuals from Europe and USA. Methods: A total of 155,940 participants (79 % women) aged 60 years and older from seven cohorts were followed up accumulating 6456 incident hip fractures. Information on education and marital status was harmonized across cohorts. Hip fractures were ascertained through telephone interviews/questionnaires or through record linkage with registries. Associations were assessed through Cox proportional hazard regression adjusting for several factors. Summary estimates were derived using random effects models. Results: Individuals with higher education, compared to those with low education, had lower hip fracture risk [hazard ratio (HR) = 0.84, 95 % confidence interval (CI) 0.72-0.95]. Respective HRs were 0.97 (95 % CI 0.82-1.13) for men and 0.75 (95 % CI 0.65-0.85) for women. Overall, individuals living alone, especially those aged 60-69 years, compared to those being married/cohabiting, tended to have a higher hip fracture risk (HR = 1.12, 95 % CI 1.02-1.22). There was no suggestion for heterogeneity across cohorts ( P > 0.05). Conclusions: The combined data from >150,000 individuals 60 years and older suggest that higher education may contribute to lower hip fracture risk. Furthermore, this risk may be higher among individuals living alone, especially among the age group 60-69 years, when compared to those being married/cohabiting. [ABSTRACT FROM AUTHOR]
Published: 2015
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192. Association of pre- and post-natal parental smoking with offspring body mass index: an 8-year follow-up of a birth cohort.

Author: Florath, I., Kohler, M., Weck, M. N., Brandt, S., Rothenbacher, D., Schöttker, B., Moß, A., Gottmann, P., Wabitsch, M., and Brenner, H.
Subjects: *ACADEMIC medical centers, *CONFIDENCE intervals, *FISHER exact test, *LONGITUDINAL method, *MULTIVARIATE analysis, *NICOTINE, *PASSIVE smoking, *PASSIVE smoking in children, *REGRESSION analysis, *SMOKING, *STATISTICS, *DATA analysis, *BODY mass index, *DATA analysis software, *DESCRIPTIVE statistics
Abstract: What is already known about this subject Maternal smoking during pregnancy is associated with offspring overweight, but it is still unclear whether this association is due to confounding by parental lifestyle habits or caused by direct effects of intrauterine tobacco smoke exposure., What this study adds Maternal smoking during pregnancy was validated by cord serum cotinine measurements and the offspring body mass index was assessed at various ages., Maternal smoking during pregnancy was significantly associated with offspring body mass index at 8 years of age with a trend for increased body mass index from 4 years of age onwards., Paternal smoking and smoking of both parents at pre- and post-natal periods was positively associated with offspring body mass index, which suggests residual confounding by lifestyle habits in smoking families rather than intrauterine effects., Background Although many epidemiological studies have shown an association between maternal smoking during pregnancy and offspring overweight, it is still under debate whether intrauterine tobacco smoke exposure directly affects offspring obesity or if the association is rather due to confounding by lifestyle factors. Objectives The association of parental smoking habits at pre- and post-natal periods with offspring body mass index ( BMI) was investigated, whereas maternal smoking during pregnancy was validated by cord serum cotinine measurements. Methods Multivariable linear regression analysis, based on the German Ulm Birth Cohort Study of 1045 children born in 2000 with annual/biennial follow-up until the age of 8 years ( n = 609), was conducted. Results BMI of offspring from mothers who smoked during pregnancy and non-smoking mothers differed significantly at 8 years. Maternal smoking during pregnancy was associated with an increase in BMI of 0.73 kg m−2 [95% confidence interval: 0.21-1.25] in 8-year-old children after adjustment for multiple potential confounding variables. Both pre- and post-natal smoking of fathers (0.34 [0.01-0.66]/0.45 [0.08-0.81]) and of both parents (1.03 [0.43-1.63]/0.56 [0.14-0.98]) were likewise significantly associated with offspring BMI. Conclusions The observed patterns suggest that residual confounding by living conditions in smoking families rather than specific intrauterine exposure to tobacco smoke may account for the increased risk of offspring overweight. [ABSTRACT FROM AUTHOR]
Published: 2014
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193. National trends in total cholesterol obscure heterogeneous changes in HDL and non-HDL cholesterol and total-to-HDL cholesterol ratio : a pooled analysis of 458 population-based studies in Asian and Western countries

Author: NCD Risk Factor Collaboration (NCD-RisC), [missing], Taddei, Cristina, Jackson, Rod, Zhou, Bin, Bixby, Honor, Danaei, Goodarz, Di Cesare, Mariachiara, Kuulasmaa, Kari, Hajifathalian, Kaveh, Bentham, James, Bennett, James E, Aekplakorn, Wichai, Cifkova, Renata, Dallongeville, Jean, DeBacquer, Dirk, Giampaoli, Simona, Gudnason, Vilmundur, Khang, Young-Ho, Laatikainen, Tiina, Mann, JimI, Marques-Vidal, Pedro, Mensah, George A, Müller-Nurasyid, Martina, Ninomiya, Toshiharu, Petkeviciene, Janina, Rodríguez-Artalejo, Fernando, Servais, Jennifer, Söderberg, Stefan, Stavreski, Bill, Wilsgaard, Tom, Zdrojewski, Tomasz, Zhao, Dong, Stevens, Gretchen A, Savin, Stefan, Cowan, Melanie J, Riley, Leanne M, Ezzati, Majid, Adams, Robert J, Ahrens, Wolfgang, Amouyel, Philippe, Amuzu, Antoinette, Anderssen, Sigmund A, Ariansen, Inger, Arveiler, Dominique, Aspelund, Thor, Auvinen, Juha, Avdicová, Mária, Banach, Maciej, Bandosz, Piotr, Banegas, José R, Barbagallo, Carlo M, Bata, Iqbal, Baur, Louise A, Beaglehole, Robert, Bernotiene, Gailute, Bi, Yufang, Bienek, Asako, Björkelund, Cecilia, Bo, Simona, Boehm, Bernhard O, Bonaccio, Marialaura, Bongard, Vanina, Borchini, Rossana, Borghs, Herman, Breckenkamp, Juergen, Brenner, Hermann, Bruno, Graziella, Busch, Markus A, Cabrera de León, Antonio, Capuano, Vincenzo, Casanueva, Felipe F, Casas, Juan-Pablo, Caserta, Carmelo A, Censi, Laura, Chen, Fangfang, Chen, Shuohua, Chirlaque, María-Dolores, Cho, Belong, Cho, Yumi, Chudek, Jerzy, Claessens, Frank, Clarke, Janine, Clays, Els, Cooper, Cyrus, Costanzo, Simona, Cottel, Dominique, Cowell, Chris, Crujeiras, Ana B, Cui, Liufu, D'Arrigo, Graziella, Dauchet, Luc, De Backer, Guy, De Bacquer, Dirk, de Gaetano, Giovanni, De Henauw, Stefaan, De Smedt, Delphine, Dennison, Elaine, Deschamps, Valérie, DiCastelnuovo, Augusto, Dobson, Annette J, Donfrancesco, Chiara, Döring, Angela, Drygas, Wojciech, Du, Yong, Dziankowska-Zaborszczyk, Elzbieta, Eggertsen, Robert, Ekelund, Ulf, Elosua, Roberto, Eriksson, Johan G, Evans, Alun, Faeh, David, Felix-Redondo, Francisco J, Fernández-Bergés, Daniel, Ferrari, Marika, Ferrieres, Jean, Finn, Joseph D, Forslund, Ann-Sofie, Forsner, Maria, Frontera, Guillermo, Fujita, Yuki, Gaciong, Zbigniew, Galvano, Fabio, Gao, Jingli, Garcia-de-la-Hera, Manoli, Garnett, Sarah P, Gaspoz, Jean-Michel, Gasull, Magda, Gates, Louise, Gianfagna, Francesco, Gill, Tiffany K, Giovannelli, Jonathan, Goltzman, David, GonzalezGross, Marcela, Gottrand, Frederic, Graff-Iversen, Sidsel, Grafnetter, Dušan, Gregor, Ronald D, Grodzicki, Tomasz, Grosso, Giuseppe, Gruden, Grabriella, Gu, Dongfeng, Guallar-Castillón, Pilar, Gudmundsson, Elias F, Guessous, Idris, Gunnlaugsdottir, Johanna, Gutzwiller, Felix, Hardy, Rebecca, Hata, Jun, Haugsgjerd, Teresa, Hayes, Alison J, He, Jiang, He, Yuna, Herrala, Sauli, TapaniHihtaniemi, Ilpo, Hobbs, Michael, Hopman, Wilma M, MaríaHuerta, José, Huybrechts, Inge, Iacoviello, Licia, Iannone, Anna G, Ikeda, Nayu, Iwasaki, Masanori, Jamrozik, Konrad, Janszky, Imre, Jarvelin, Marjo-Riitta, Jasienska, Grazyna, Jennings, Garry, Jeong, Seung-lyeal, QiangJiang, Chao, Joffres, Michel, Jokelainen, Jari J, Jonas, Jost B, Jóźwiak, Jacek, Kajantie, Eero O, Kauhanen, Jussi, Keil, Ulrich, Keinänen-Kiukaanniemi, Sirkka, Kersting, Mathilde, Kiechl-Kohlendorfer, Ursula, Kiechl, Stefan, Kim, Jeongseon, Kim, Yeon-Yong, Klumbiene, Jurate, Knoflach, Michael, Ko, Stephanie, Kolle, Elin, Korpelainen, Raija, Koskinen, Seppo, Kouda, Katsuyasu, Kratzer, Wolfgang, Kriemler, Susi, Krokstad, Steinar, Kujala, Urho M, Kurjata, Pawel, HingLam, Tai, Lanska, Vera, Lappas, Georg, Laugsand, Lars E, Lee, Jeonghee, Lehtimäki, Terho, Li, Yanping, Lilly, Christa L, Lin, Xu, Lind, Lars, Lissner, Lauren, Liu, Jing, Lopez-Garcia, Esther, Lorbeer, Roberto, EugenioLozano, José, Luksiene, Dalia, Lundqvist, Annamari, Lundqvist, Robert, Lytsy, Per, Ma, Guansheng, Machi, Suka, Maggi, Stefania, Magliano, Dianna J, Manzato, Enzo, Mathiesen, Ellisiv B, McLachlan, Stela, McLean, Rachael M, McLean, Scott B, Meirhaeghe, Aline, Meisinger, Christa, Metcalf, Patricia, Mi, Jie, Miller, Jody C, Moreno, Luis A, Morin, Suzanne, Mossakowska, Malgorzata, Muiesan, Maria L, Mursu, Jaakko, Nakamura, Harunobu, Námešná, Jana, Nauck, Matthias, MariaNavarrete-Muñoz, Eva, Neal, William A, Nenko, Ilona, Niiranen, Teemu J, Ning, Guang, Noale, Marianna, Norie, Sawada, Noto, Davide, O'Neill, Terence, O'Reilly, Dermot, Oh, Kyungwon, Olafsson, Örn, MichelPaccaud, Fred, Pajak, Andrzej, Palmieri, Luigi, Panza, Francesco, Parnell, Winsome R, Peltonen, Markku, Peters, Annette, Petersmann, Astrid, Pigeot, Iris, Pilotto, Lorenza, Piwonska, Aleksandra, Plans-Rubió, Pedro, Porta, Miquel, Price, Jacqueline F, Puder, Jardena J, Puhakka, Soile E, Radisauskas, Ricardas, Raitakari, Olli, Ramos, Rafel, Redon, Josep, Rigo, Fernando, Rodriguez-Perez, MaríadelCristo, Romaguera, Dora, Ronkainen, Kimmo, Rosengren, Annika, Roy, Joel G R, Ruidavets, Jean-Bernard, Rutkowski, Marcin, Salanave, Benoit, Salmerón, Diego, Salomaa, Veikko, Salonen, Jukka T, Salvetti, Massimo, Sans, Susana, Saramies, Jouko L, Saum, Kai-Uwe, Scheidt-Nave, Christa, Schienkiewitz, Anja, Schipf, Sabine, Schmidt, Carsten O, Schöttker, Ben, Sebert, Sylvain, Sen, Abhijit, Shaw, Jonathan E, Shibuya, Kenji, WookShin, Dong, Shiri, Rahman, Simons, Judith, Simons, Leon A, Sjöström, Michael, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemyslaw, Solfrizzi, Vincenzo, Sonestedt, Emily, Soumare, Aicha, Staessen, Jan A, Stathopoulou, Maria G, Steene-Johannessen, Jostein, Stehle, Peter, Stieber, Jutta, Stöckl, Doris, Stokwiszewski, Jakub, Sundström, Johan, Suriyawongpaisal, Paibul, Tamosiunas, Abdonas, JooTan, Eng, Taylor, Anne, Tell, Grethe, Thijs, Lutgarde, Tolonen, HannaK, Topór-Madry, Roman, JoséTormo, María, Torrent, Maties, Tsugane, Shoichiro, Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Tzourio, Christophe, Uusitalo, Hannu M T, Van Herck, Koen, Vanderschueren, Dirk, Vanuzzo, Diego, Vatten, Lars, Vega, Tomas, Veronesi, Giovanni, Vioque, Jesus, Virtanen, JyrkiK, Visvikis-Siest, Sophie, Vollenweider, Peter, Voutilainen, Sari, Vrijheid, Martine, Wagner, Aline, Wagner, Anne, Wang, Ming-Dong, Wang, Qian, XingWang, Ya, Wannamethee, S Goya, Wei, Wenbin, Whincup, Peter H, Wiecek, Andrzej, Willeit, Johann, Willeit, Peter, Wojtyniak, Bogdan, Wong, Andrew, Woodward, Mark, GiwercmanWu, Aleksander, Wu, Frederick C, Wu, Shouling, Xu, Haiquan, Xu, Liang, Yan, Weili, Yang, Xiaoguang, Ye, Xingwang, Yoshihara, Akihiro, Zambon, Sabina, Zhao, Wenhua, Imperial College London, University of Auckland [Auckland], Harvard T.H. Chan School of Public Health, Middlesex University, National Institute for Health and Welfare [Helsinki], Weill Medical College of Cornell University [New York], University of Kent [Canterbury], Mahidol University [Bangkok], Charles University [Prague] (CU), Epidémiologie des maladies chroniques : impact des interactions gène environnement sur la santé des populations, Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille, Droit et Santé, Universiteit Gent = Ghent University [Belgium] (UGENT), Istituto Superiore di Sanita [Rome], Icelandic Heart Association [Kopavogur, Iceland] (IHA), Seoul National University [Seoul] (SNU), University of Otago [Dunedin, Nouvelle-Zélande], Centre Hospitalier Universitaire Vaudois [Lausanne] (CHUV), Helmholtz-Zentrum München (HZM), Kyushu University [Fukuoka], Universidad Autonoma de Madrid (UAM), CIBER de Epidemiología y Salud Pública (CIBERESP), Umeå University, The Arctic University of Norway (UiT), Medical University of Gdańsk, Capital University of Medical Sciences [Beijing] (CUMS), Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), University of Adelaide, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Leibniz Association, Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 (RID-AGE), Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), London School of Hygiene and Tropical Medicine (LSHTM), Norwegian School of Sport Sciences = Norges idrettshøgskole [Oslo] (NIH), Norwegian Institute of Public Health [Oslo] (NIPH), Université de Strasbourg (UNISTRA), University of Iceland [Reykjavik], University of Oulu, Regional Authority of Public Health [Slovaquia] (RAPH), Ministry of Health of the Slovak Republic [Slovaquia], Medical University of Łódź (MUL), Università degli studi di Palermo - University of Palermo, Dalhousie University [Halifax], The University of Sydney, Public Health Agency of Canada, University of Gothenburg (GU), University of Turin, Nanyang Technological University [Singapour], Istituto Neurologico Mediterraneo (NEUROMED I.R.C.C.S.), Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome]-Università degli studi di Napoli Federico II, Faculté de Médecine [Rangueil], Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-CHU Toulouse [Toulouse], Universität Bielefeld = Bielefeld University, German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Robert Koch Institute [Berlin] (RKI), Universidad de La Laguna [Tenerife - SP] (ULL), Universidade de Santiago de Compostela [Spain] (USC ), University College of London [London] (UCL), University of Silesia in Katowice, Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), University of Southampton, Biomolécules et inflammation pulmonaire, Service d'Epidémiologie et de Santé Publique [Lille], Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Santé publique France - French National Public Health Agency [Saint-Maurice, France], University of Queensland [Brisbane], IMIM-Hospital del Mar, Generalitat de Catalunya, Queen's University [Belfast] (QUB), Universität Zürich [Zürich] = University of Zurich (UZH), Epidémiologie et analyses en santé publique : risques, maladies chroniques et handicaps (LEASP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, University of Manchester [Manchester], Kindai University, Medical University of Warsaw - Poland, Università degli studi di Catania [Catania], Geneva University Hospital (HUG), Universitá degli Studi dell’Insubria, McGill University = Université McGill [Montréal, Canada], Universidad Politécnica de Madrid (UPM), Lille Inflammation Research International Center - U 995 (LIRIC), Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Institute for Clinical and Experimental Medicine (IKEM), Uniwersytet Jagielloński w Krakowie = Jagiellonian University (UJ), University of Bergen (UiB), Tulane University, Chinese Center for Disease Control and Prevention, Oulu University Hospital [Oulu], The University of Western Australia (UWA), Centre International de Recherche contre le Cancer - International Agency for Research on Cancer (CIRC - IARC), Niigata University, Norwegian University of Science and Technology (NTNU), Simon Fraser University (SFU.ca), University of Eastern Finland, Westfälische Wilhelms-Universität Münster (WWU), Innsbruck Medical University [Austria] (IMU), Universitätsklinikum Ulm - University Hospital of Ulm, University of Jyväskylä (JYU), The University of Hong Kong (HKU), Sahlgrenska Academy at University of Gothenburg [Göteborg], Tampere University Hospital, University of Tampere [Finland], West Virginia University [Morgantown], University of Chinese Academy of Sciences [Beijing] (UCAS), Uppsala Universitet [Uppsala], Universität Greifswald - University of Greifswald, Peking University [Shenzhen], The Jikei University School of Medicine, Baker Heart and Diabetes Institute (AUSTRALIA), Universita degli Studi di Padova, University of Edinburgh, University of Zaragoza - Universidad de Zaragoza [Zaragoza], International Institute of Molecular and Cell Biology [Warsaw] (IIMCB), Università degli Studi di Brescia [Brescia], Konan University [Kobe, Japan], University of Turku, Shanghai Jiao Tong University School of Medicine, Department of Epidemiology and Biostatistics, Imperial College London-School of public health, The University of Hong Kong (HKU)-The University of Hong Kong (HKU), Department of Emergency and Cardiovascular Medicine, Sahlgrenska Academy, Department of Epidemiology, Health Economics and Public Health, UMR 558 INSERM, Université de Toulouse, Centre Hospitalier Universitaire de Toulouse, Unité de Surveillance et d'Epidémiologie Nutritionnelle (USEN), Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Institut de Veille Sanitaire (INVS)-Université Paris 13 (UP13), Department of Epidemiology, Murcia Regional Health Council, Murcia, Spain, parent, Department of Chronic Disease Prevention, Institute for plasma research, Institute for Plasma Research, Department of Biosciences and Nutrition, Karolinska Institutet [Stockholm], Department of Reproductive Endocrinology, University of Bari Aldo Moro (UNIBA), Nutritional Epidemiology, Department of Clinical Sciences, Clinical Research Center, Lund University [Lund]-Lund University [Lund], Neuroépidémiologie, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Applied Food Science, Department of Medical Sciences and Uppsala Clinical Research Center, Uppsala University Hospital, Research Unit Hypertension and Cardiovascular Epidemiology [Louvain, Belgique], Studies Coordinating Centre [Louvain, Belgique], Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven)-Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), National Cancer Center, University of Kuopio, Epidémiologie cardiovasculaire et métabolique, Université Paris-Sud - Paris 11 (UP11)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED), Université Bordeaux Segalen - Bordeaux 2, Tampere University, Department of Andrology and Endocrinology, Katholieke Universiteit Leuven, Norwegian University of Science and Technology [Trondheim] (NTNU), Departamento de Salud Pública, Universidad Miguel Hernández [Elche] (UMH), Interactions Gène-Environnement en Physiopathologie Cardio-Vasculaire (IGE-PCV), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Department of Internal Medicine, School of Public Health and Clinical Nutrition, Epidemiologia Ambiental, Centre for Research in Environmental Epidemiology (CREAL)-Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP) of Pamplona-Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Department of Epidemiology and Public Health, EA 3430, Laboratoire Chrono-environnement - CNRS - UBFC (UMR 6249) (LCE), Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Medical University of Silesia (SUM), University of Innsbruck, National Institute of Hygiene Warsaw, The Georges Institute for International Health, Naval Research Laboratory (NRL), Grant numbers 101506/Z/13/Z and Research Training Fellowship 203616/Z/16/Z, Ministry of Health of the Czech Republic (grant number 15-27109A), UAM. Departamento de Medicina Preventiva y Salud Pública y Microbiología, HUS Children and Adolescents, Department of Public Health, Universidad Autónoma de Madrid (UAM), Università degli studi di Torino = University of Turin (UNITO), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM), Westfälische Wilhelms-Universität Münster = University of Münster (WWU), CHU Toulouse [Toulouse], Université Paris 13 (UP13)-Institut de Veille Sanitaire (INVS)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université (HESAM)-HESAM Université (HESAM), Taddei, C, Zhou, B, Bixby, H, Danaei, G, Di Cesare, M, Kuulasmaa, K, Hajifathalian, K, Bentham, J, Bennett, JE, Aekplakorn, W, Cifkova, R, Dallongeville, J, DeBacquer, D, Giampaoli, S, Gudnason, V, Khang, Y-O, Laatikainen, T, Mann, JI, Marques-Vidal, P, Mensah, GA, Müller-Nurasyid, M, Ninomiya, T, Petkeviciene, J, Rodríguez-Artalejo, F, Servais, J, Söderberg, S, Stavreski, B, Wilsgaard, T, Zdrojewski, T, Zhao, D, Stevens, GA, Savin, S, Cowan, Mj, Riley, LM, Ezzati, M, Adams, R, Ahrens, W, Amouyel, P, Amuzu, A, Anderssen, SA, Ariansen, I, Arveiler, D, Aspelund, T, Auvinen, A, Avdicová, M, Banach, M, Bandosz, P, Banegas. JR, Barbagallo, CM, Bata, I, Baur, LA, Beaglehole, R, Bennet, JE, Bernotiene, G, Bi, Y, Bienek, A, Björkelund, C, Bo, S, Boehm, BO, Bonaccio, M, Bongard, V, Borchini, R, Borghs, H, Breckenkamp, J, Brenner, H, Bruno, G, Busch, MA, CabreradeLeón, A, Capuano, V, Casanueva, FF, Casas, J-P, Caserta, CA, Censi, L, Chen, F, Chen, S, Chirlaque, M-D, Cho, B, Cho, Y, Chudek, J, Claessens, F, Clarke, J, Clays, E, Cooper, C, Costanzo, S, Cottel, D, Cowell C, Crujeiras, AB, Cui, L, D'Arrigo, G, Dauchet, L, De Backer, G, De Bacquer, D, de Gaetano, G, De Henauw, S, De Smedt, D, Dennison, E, Desschamps, V, Di Castelnuovo, A, Dobson, AJ, Donfrancesco, C, Döring, A, Doua, K, Drygas, W, Du, Y, Dziankowska-Zaborszczyk, E, Eggertsen, R, Ekelund, U, Elousa, R, Eriksson, JG, Evans, A, Faeh, D, Felix-Redondo, FJ, Fernández-Bergés, D, Ferrari, M, Ferrieres, J, Finn, JD, Forslund, A-S, Forsner, M, Frontera, G, Fujita, Y, Gaciong, Z, Galvano, F, Gao, J, Garcia-de-la-Hera, M, Garnett, SP, Gaspoz, J-M, Gasul, L, Gates, L, Gianfagna, F, Gill, TK, Giovannelli, J, Goltzman, D, GonzalezGross, M, Gottrand, F, Graff-Iversen, S, Grafnetter, D, Gregor, RD, Grodzicki, T, Grosso, G, Gruden, G, Gu, D, Guallar-Castillón, P, Gudmundsson, EF, Guessous, I, Gunnlaugsdottir J, Gutzwiller, F, Hardy, R, Hata, J, Haugsgjerd, T, Hayes, AJ, He, H, He, Y, Herrala, S, Hihtaniemi, IP, Hobbs, M, Hopman, WM, Huerta, JM, Huybrechts, I, Iacoviello, L, Iannone, AG, Ikeda, N, Iwasaki, M, Jackson, R, Jamrozi, K, Janszky, I, Jarvelin, M-R, Jasienska, G, Jennings, G, Jeong, S-L, Jiang, CQ, Joffres, M, Jokelainen, JJ, Jonas, JB, Jóźwiak, J, Kajantie, EO, Kauhanen, K, Keil, U, Keinänen-Kiukaanniemi, S, Kersting, M, Khang, Y-H, Kiechl-Kohlendorfer, U, Kiechl, S, Kim, J, Kim, Y-Y, Klumbiene, J, Knoflach, M, Ko, S, Kolle, E, Korpelainen, R, Koskinen, S, Kouda, K, Kratzer, W, Kriemler, S, Krokstad, S, Kujala,UM, Kurjata, P, Lam, TH, Lanska, V, Lappas , G, Laugsand, LE, Lee, J, Lehtimäki, T, Li, Y, Lilly, C, Lin, X, Lind, L, Lissner, L, Liu, J, Lopez-Garcia, E, Lorbeer, R, Lozano, JE, Luksiene, D, Lundqvist, A, Lundqvist, R, Lytsy, P, Ma, G, Machi, S, Maggi, S, Magliano, DJ, Manzato, E, Mathiesen, EB, McLachlan, S, McLean, RM, Meirhaeghe, A, Metcalf, P, Mi, JM, Miller, JC, Moreno, LA, Morin, S, Mossakowska, M, Muiesan, ML, Mursu, J, Nakamura, H, Námešná, J, Navarrete-Muñoz, EM, Neal, WA, Nenko, I, Niiranen, T, Ning, G, Noale, M, Norie, S, Noto, Davide, O’Neill, T, O'Reilly, D, Oh, K, Olafsson, O, Paccaud, F, Pajak, A, Palmieri, L, Panza, F, Parnell, WR, Peltonen, M, Peters, A, Petersmann, A, P Pigeot, I, Pilotto, L, Piwonska, A, Pedro Plans-Rubió, P, Porta, M, Price, JF, Puder, JJ, Puhakka, SE, Radisauskas, R, Raitakari, O, Ramos, R, Redon, J, Rigo, F, Rodriguez-Perez, MdC, Romaguera, D, Ronkainen, K, Rosengren, A, Roy, JGR, Ruidavets, JB, Rutkowski, M, Salanave, B, Salmeron, D, Salomaa, V, Salonen, JT, Salvetti, M, Sans, S, Saramies, JL, Saum, K-U, Scheidt-Nave, C, Schienkiewitz, A, Schipf, S, Schmidt, CO, Schottker, B, Sebert S, Sen, A, Shaw, JE, Shibuya, K, Shin, DO, Shiri, R, Simons, J, Simons, LA, Sjostrom, M, Slowikowska-Hilczer, J, Slusarczyk, P, Solfrizzi, V, Sonestedt, E, Soumare, A, Staessen, JA, Stathopoulou, MG, Steene-Johannessen, J, Stehle, P, Stieber, J, Stöckl, D, Stokwiszewski, J, Sundström, J, Suriyawongpaisal, P, Tamosiunas, A, Tan, E, Taylor, A, Tell, G, Thijs, L, Tolonen, HK, Topór-Madry, R, Tormo, MJ, Torrent, M, Tsugane, S, Tuomainen, T-P, Tuomilehto, J, Tzourio, C, Uusitalo, HMT, Van Herck, K, Vanderschueren, D, Vanuzzo, D, Vatten, L, Vega, T, Veronesi, G, Vioque, P, Virtanen, JK, Visvikis-Siest, S, Vollenweider, P, Voutilainen, S, Vrijheid, M, Wagner, A, Wang, M-D, Wang, Q, Wang YX, Wannamethee, SG, Wei, W, Whincup, PH, Wiecek, A, Willeit, J, Willeit, P, Wojtyniak, B, Wong, A, Woodward, M, Wu, FC, JianFeng Wu, JF, Wu, SL, Xu, H, Xu, L, Yan, W, Yang, X, Ye, X, Yoshihara, A, Zambon, S, Zhao, W, NCD Risk Factor Collaboration (NCD-RisC), Jackson, R., Zhou, B., Bixby, H., Danaei, G., Di Cesare, M., Kuulasmaa, K., Hajifathalian, K., Bentham, J., Bennett, J.E., Aekplakorn, W., Cifkova, R., Dallongeville, J., DeBacquer, D., Giampaoli, S., Gudnason, V., Khang, Y.H., Laatikainen, T., Mann, J., Marques-Vidal, P., Mensah, G.A., Müller-Nurasyid, M., Ninomiya, T., Petkeviciene, J., Rodríguez-Artalejo, F., Servais, J., Söderberg, S., Stavreski, B., Wilsgaard, T., Zdrojewski, T., Zhao, D., Stevens, G.A., Savin, S., Cowan, M.J., Riley, L.M., Ezzati, M., Adams, R.J., Ahrens, W., Amouyel, P., Amuzu, A., Anderssen, S.A., Ariansen, I., Arveiler, D., Aspelund, T., Auvinen, J., Avdicová, M., Banach, M., Bandosz, P., Banegas, J.R., Barbagallo, C.M., Bata, I., Baur, L.A., Beaglehole, R., Bernotiene, G., Bi, Y., Bienek, A., Björkelund, C., Bo, S., Boehm, B.O., Bonaccio, M., Bongard, V., Borchini, R., Borghs, H., Breckenkamp, J., Brenner, H., Bruno, G., Busch, M.A., Cabrera de León, A., Capuano, V., Casanueva, F.F., Casas, J.P., Caserta, C.A., Censi, L., Chen, F., Chen, S., Chirlaque, M.D., Cho, B., Cho, Y., Chudek, J., Claessens, F., Clarke, J., Clays, E., Cooper, C., Costanzo, S., Cottel, D., Cowell, C., Crujeiras, A.B., Cui, L., D'Arrigo, G., Dauchet, L., De Backer, G., De Bacquer, D., de Gaetano, G., De Henauw, S., De Smedt, D., Dennison, E., Deschamps, V., DiCastelnuovo, A., Dobson, A.J., Donfrancesco, C., Döring, A., Drygas, W., Du, Y., Dziankowska-Zaborszczyk, E., Eggertsen, R., Ekelund, U., Elosua, R., Eriksson, J.G., Evans, A., Faeh, D., Felix-Redondo, F.J., Fernández-Bergés, D., Ferrari, M., Ferrieres, J., Finn, J.D., Forslund, A.S., Forsner, M., Frontera, G., Fujita, Y., Gaciong, Z., Galvano, F., Gao, J., Garcia-de-la-Hera, M., Garnett, S.P., Gaspoz, J.M., Gasull, M., Gates, L., Gianfagna, F., Gill, T.K., Giovannelli, J., Goltzman, D., GonzalezGross, M., Gottrand, F., Graff-Iversen, S., Grafnetter, D., Gregor, R.D., Grodzicki, T., Grosso, G., Gruden, G., Gu, D., Guallar-Castillón, P., Gudmundsson, E.F., Guessous, I., Gunnlaugsdottir, J., 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Superiore di Sanità (ISS), Helmholtz Zentrum München = German Research Center for Environmental Health, Kyushu University, The Arctic University of Norway [Tromsø, Norway] (UiT), Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome] (UNIROMA)-University of Naples Federico II = Università degli studi di Napoli Federico II, Université de Toulouse (UT)-Université de Toulouse (UT)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM), Università degli studi di Catania = University of Catania (Unict), Universitá degli Studi dell’Insubria = University of Insubria [Varese] (Uninsubria), Innsbruck Medical University = Medizinische Universität Innsbruck (IMU), Università degli Studi di Padova = University of Padua (Unipd), Università degli Studi di Brescia = University of Brescia (UniBs), Service Epidémiologie clinique et santé publique [CHU Toulouse], Pôle Santé publique et médecine publique [CHU Toulouse], Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM), Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro (UNIBA), Laboratoire Chrono-environnement (UMR 6249) (LCE), Leopold Franzens Universität Innsbruck - University of Innsbruck, National Institute of Public Health - National Institute of Hygiene [Poland], Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Université de Lille-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Pasteur de Lille, Medical University of Silesia, Katowice, University of Helsinki, National Institute for Health and Welfare, University of Helsinki, University of Helsinki, and University of Helsinki, Finnish Institute of Occupational Health
Subjects: Male, gupo de ascendencia continental asiática, Settore MED/09 - Medicina Interna, Total Cholesterol, Ldl Cholesterol, Hdl Cholesterol, Blood Lipids, Multi-country Study, Epidemiology, kolesteroli, humanos, Blood lipids, BLOOD-PRESSURE, 030204 cardiovascular system & hematology, triglicéridos, chemistry.chemical_compound, 0302 clinical medicine, High-density lipoprotein, HDL cholesterol, Medicine and Health Sciences, CARDIOVASCULAR RISK-FACTORS, Medicine, 030212 general & internal medicine, mediana edad, lípidos, Public, Environmental & Occupational Health, 2. Zero hunger, anciano, education.field_of_study, Age Factors, Public Health, Global Health, Social Medicine and Epidemiology, General Medicine, Middle Aged, colesterol, adulto, kansainvälinen vertailu, Lipids, 3142 Public health care science, environmental and occupational health, 3. Good health, Europe, Cholesterol, Population Surveillance, LDL cholesterol, SERUM-LIPIDS, Female, lipids (amino acids, peptides, and proteins), Life Sciences & Biomedicine, Adult, Asian Continental Ancestry Group, Canada, Total cholesterol, blood lipids, multi-country study, medicine.medical_specialty, Asia, Medicina, European Continental Ancestry Group, Population, Nursing, HDL-kolesteroli, White People, DIETARY-FAT, 03 medical and health sciences, Sex Factors, Asian People, kansanterveys, vigilancia de la población, Humans, CORONARY-HEART-DISEASE, ddc:610, LDL-kolesteroli, education, Triglycerides, METAANALYSIS, Aged, INDIVIDUAL DATA, Science & Technology, business.industry, Omvårdnad, blood lipid, Cholesterol, HDL, Ecological study, nutritional and metabolic diseases, Cholesterol, LDL, United States, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Cholesterol/blood, Lipids/blood, Population Surveillance/methods, Triglycerides/blood, chemistry, WORLDWIDE TRENDS, Multi-country study, grupo de ascendencia continental europea, business, HIGH-DENSITY-LIPOPROTEIN, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology, Demography, Lipoprotein
Abstract: Artículo con numerosos autores. Sólo quedan reflejados el primero, los pertenecientes a la UAM y el colectivo, Background: Although high-density lipoprotein (HDL) and non-HDL cholesterol have opposite associations with coronary heart disease, multi-country reports of lipid trends only use total cholesterol (TC). Our aim was to compare trends in total, HDL and non-HDL cholesterol and the total-to-HDL cholesterol ratio in Asian and Western countries. Methods: We pooled 458 population-based studies with 82.1 million participants in 23 Asian and Western countries. We estimated changes in mean total, HDL and non-HDL cholesterol and mean total-to-HDL cholesterol ratio by country, sex and age group. Results: Since ∼1980, mean TC increased in Asian countries. In Japan and South Korea, the TC rise was due to rising HDL cholesterol, which increased by up to 0.17 mmol/L per decade in Japanese women; in China, it was due to rising non-HDL cholesterol. TC declined in Western countries, except in Polish men. The decline was largest in Finland and Norway, at ∼0.4 mmol/L per decade. The decline in TC in most Western countries was the net effect of an increase in HDL cholesterol and a decline in non-HDL cholesterol, with the HDL cholesterol increase largest in New Zealand and Switzerland. Mean total-to-HDL cholesterol ratio declined in Japan, South Korea and most Western countries, by as much as ∼0.7 per decade in Swiss men (equivalent to ∼26% decline in coronary heart disease risk per decade). The ratio increased in China. Conclusions: HDL cholesterol has risen and the total-to-HDL cholesterol ratio has declined in many Western countries, Japan and South Korea, with only a weak correlation with changes in TC or non-HDL cholesterol., This work was supported by the Wellcome Trust (grant numbers 101506/Z/13/Z and Research Training Fellowship 203616/Z/16/Z). R.C. acknowledges funding from the Ministry of Health of the Czech Republic (grant number 15-27109A)
Published: 2020
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194. Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants

Author: Rodriguez-Martinez, Andrea, Zhou, Bin, Sophiea, Marisa K, Bentham, James, Paciorek, Christopher J, Iurilli, Maria LC, Carrillo-Larco, Rodrigo M, Bennett, James E, Di Cesare, Mariachiara, Taddei, Cristina, Bixby, Honor, Stevens, Gretchen A, Riley, Leanne M, Cowan, Melanie J, Savin, Stefan, Danaei, Goodarz, Chirita-Emandi, Adela, Kengne, Andre P, Khang, Young-Ho, Laxmaiah, Avula, Malekzadeh, Reza, Miranda, J Jaime, Moon, Jin Soo, Popovic, Stevo R, Sorensen, Thorkild IA, Soric, Maroje, Starc, Gregor, Zainuddin, Ahmad A, Gregg, Edward W, Bhutta, Zulfiqar A, Black, Robert, Ezzati, Majid, Abarca-Gomez, Leandra, Abdeen, Ziad A, Abdrakhmanova, Shynar, Ghaffar, Suhaila Abdul, Rahim, Hanan F Abdul, Abu-Rmeileh, Niveen M, Garba, Jamila Abubakar, Acosta-Cazares, Benjamin, Adams, Robert J, Aekplakorn, Wichai, Afsana, Kaosar, Afzal, Shoaib, Agdeppa, Imelda A, Aghazadeh-Attari, Javad, Aguilar-Salinas, Carlos A, Agyemang, Charles, Ahmad, Mohamad Hasnan, Ahmad, Noor Ani, Ahmadi, Ali, Ahmadi, Naser, Ahmed, Soheir H, Ahrens, Wolfgang, Aitmurzaeva, Gulmira, Ajlouni, Kamel, Al-Hazzaa, Hazzaa M, Al-Othman, Amani Rashed, Al-Raddadi, Rajaa, Alarouj, Monira, AlBuhairan, Fadia, AlDhukair, Shahla, Ali, Mohamed M, Alkandari, Abdullah, Alkerwi, Ala'a, Allin, Kristine, Alvarez-Pedrerol, Mar, Aly, Eman, Amarapurkar, Deepak N, Amiri, Parisa, Amougou, Norbert, Amouyel, Philippe, Andersen, Lars Bo, Anderssen, Sigmund A, Angquist, Lars, Anjana, Ranjit Mohan, Ansari-Moghaddam, Alireza, Aounallah-Skhiri, Hajer, Araujo, Joana, Ariansen, Inger, Aris, Tahir, Arku, Raphael E, Arlappa, Nimmathota, Aryal, Krishna K, Aspelund, Thor, Assah, Felix K, Assuncao, Maria Cecilia F, Aung, May Soe, Auvinen, Juha, Avdicova, Maria, Azevedo, Ana, Azimi-Nezhad, Mohsen, Azizi, Fereidoun, Azmin, Mehrdad, Babu, Bontha V, Jorgensen, Maja Baeksgaard, Baharudin, Azli, Bahijri, Suhad, Baker, Jennifer L, Balakrishna, Nagalla, Bamoshmoosh, Mohamed, Banach, Maciej, Bandosz, Piotr, Banegas, Jose R, Baran, Joanna, 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Uysal N., Vaitkeviciute J., Valdivia G., Vale S., Valvi D., van Dam R.M., Van der Heyden J., van der Schouw Y.T., Van Herck K., Van Minh H., van Valkengoed I.G., Vanderschueren D., Vanuzzo D., Varbo A., Varela-Moreiras G., Varona-Perez P., Vasan S.K., Vega T., Veidebaum T., Velasquez-Melendez G., Velika B., Veronesi G., Verschuren W.M., Victora C.G., Viegi G., Viet L., Villalpando S., Vineis P., Vioque J., Virtanen J.K., Visser M., Visvikis-Siest S., Viswanathan B., Vladulescu M., Vlasoff T., Vocanec D., Volzke H., Voutilainen A., Voutilainen S., Vrijheid M., Vrijkotte T.G., Wade A.N., Wagner A., Waldhor T., Walton J., Wambiya E.O., Wan Bebakar W.M., Wan Mohamud W.N., Wanderley Junior R.D.S., Wang M.-D., Wang N., Wang Q., Wang X., Wang Y.X., Wang Y.-W., Wannamethee S.G., Wareham N., Weber A., Wedderkopp N., Weerasekera D., Weghuber D., Wei W., Weres A., Werner B., Whincup P.H., Widhalm K., Widyahening I.S., Wiecek A., Wilks R.J., Willeit J., Willeit P., Williams J., Wilsgaard T., Wojtyniak B., Wong-McClure R.A., Wong A., Wong J.E., Wong T.Y., Woo J., Woodward M., Wu F.C., Wu J., Wu L.J., Wu S., Xu H., Xu L., Yaacob N.A., Yamborisut U., Yan W., Yang L., Yang X., Yang Y., Yardim N., Yaseri M., Yasuharu T., Ye X., Yiallouros P.K., Yoosefi M., Yoshihara A., You Q.S., You S.-L., Younger-Coleman N.O., Yusof S.M., Yusoff A.F., Zaccagni L., Zafiropulos V., Zakavi S.R., Zamani F., Zambon S., Zampelas A., Zamrazilova H., Zapata M.E., Zargar A.H., Zaw K.K., Zdrojewski T., Zeljkovic Vrkic T., Zeng Y., Zhang L., Zhang Z.-Y., Zhao D., Zhao M.-H., Zhao W., Zhen S., Zheng W., Zheng Y., Zholdin B., Zhou M., Zhu D., Zocalo Y., Zuniga Cisneros J., Zuziak M., and Ezzati M.
Subjects: Male, body-mass index, ADULTHOOD, Adolescents, pituuskasvu, Pediatrics, Body Mass Index, 0302 clinical medicine, Child Development, nuoret, Public health surveillance, Medicine, Health Status Indicators, 10. No inequality, Child, 11 Medical and Health Sciences, Body mass index, ComputingMilieux_MISCELLANEOUS, education.field_of_study, VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin, sosialmedisin: 801, General Medicine, Body mass indexes, kansainvälinen vertailu, 3. Good health, Geography, Health, 030220 oncology & carcinogenesis, Child, Preschool, Medical and Health sciences, purl.org/becyt/ford/3 [https], medicine.medical_specialty, School-aged adolescents, Socio-culturale, lapset (ikäryhmät), Nursing, territories, ravinto, purl.org/becyt/ford/3.3 [https], 03 medical and health sciences, School Children, SDG 3 - Good Health and Well-being, SYSTEMATIC ANALYSIS, Humans, school-aged children and adolescents, Montenegro, education, Science & Technology, Omvårdnad, Health sciences, Medical and Health sciences, Ciências médicas e da saúde, Bayes Theorem, Anthropometry, Adolescent Development, medicine.disease, TRENDS, Height and Body-mass Index, Faculdade de Ciências Sociais, UNDERNUTRITION, Height index trajectories, Height, body mass index, children , epidemiology, risk factors, growth, Stature, Demography, Settore MED/09 - Medicina Interna, Internationality, [SDV]Life Sciences [q-bio], 030204 cardiovascular system & hematology, Body-mass index trajectories, Epidemiology, Medicine and Health Sciences, risk factors, countries, EPIDEMIOLOGY, height, children, adolescents, BMI, 030212 general & internal medicine, painoindeksi, Child development, 2. Zero hunger, Medicine(all), School age child, obestity children cardiovascular, Population Health, 1. No poverty, Pediatrik, Public Health, Global Health, Social Medicine and Epidemiology, 3142 Public health care science, environmental and occupational health, Pooled analysis, NUTRITION, Female, medicine.symptom, pooled analysis, Life Sciences & Biomedicine, terveys, height, BMI, nutrition, health, children, adolescents, Adolescent, growth, Population, body-mass, Population based, Body-mass index, Young Adult, Medicine, General & Internal, Meta-Analysis as Topic, General & Internal Medicine, parasitic diseases, Weight gain, School-aged childrens, Age trajectories, business.industry, Height, Weight, Body Height, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Malnutrition, ONSET, Ciências da Saúde, Ciências médicas e da saúde, School-aged children, VDP::Medical disciplines: 700::Health sciences: 800::Community medicine, Social medicine: 801, business, terveysriskit, Estilos de Vida e Impacto na Saúde
Abstract: BACKGROUND: Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents., METHODS: For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5–19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence., FINDINGS: We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9–10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes—gaining too little height, too much weight for their height compared with children in other countries, or both—occurred in many countries in sub-Saharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls., INTERPRETATION: The height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks., Wellcome Trust, AstraZeneca Young Health Programme, EU., peer-reviewed
Published: 2020
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195. Alcoholic beverage preference and diabetes incidence across Europe: the Consortium on Health and Ageing Network of Cohorts in Europe and the United States (CHANCES) project

Author: Hermann Brenner, Edith J. M. Feskens, Olov Rolandsson, Tiina Laatikainen, J C Kiefte-de Jong, Christina Bamia, Ivonne Sluijs, Paolo Boffetta, José M Ordóñez-Mena, Daan Kromhout, Satu Männistö, Diewertje Sluik, Nicole Jankovic, Ben Schöttker, Antonia Trichopoulou, Stefan Söderberg, Maria Hughes, Annemieke M.W. Spijkerman, Tom Wilsgaard, G. de Gaetano, Oscar H. Franco, Mark G. O'Doherty, Kari Kuulasmaa, Jean Ferrières, Licia Iacoviello, Susana Sans, Wojciech Drygas, Frank Kee, Sture Eriksson, Epidemiology, and Sluik, D. and Jankovic, N. and Hughes, M. and O'doherty, M.G. and Schöttker, B. and Drygas, W. and Rolandsson, O. and Männistö, S. and Ordóñez-Mena, J.M. and Ferrieres, J. and Bamia, C. and De Gaetano, G. and Kiefte-De Jong, J.C. and Franco, O.H. and Sluijs, I. and Spijkerman, A.M.W. and Sans, S. and Eriksson, S. and Kromhout, D. and Trichopoulou, A. and Wilsgaard, T. and Brenner, H. and Kuulasmaa, K. and Laatikainen, T. and Söderberg, S. and Iacoviello, L. and Boffetta, P. and Kee, F. and Feskens, E.J.M.
Subjects: Aging, Nutrition and Disease, proportional hazards model, Medizin, Medicine (miscellaneous), morbidity, Socioeconomic Factor, Body Mass Index, socioeconomic, hazard ratio, 0302 clinical medicine, Risk Factors, Surveys and Questionnaires, Voeding en Ziekte, Surveys and Questionnaire, 030212 general & internal medicine, Human Nutrition & Health, Nutrition and Dietetics, adult, Alcoholic Beverages, Incidence, Incidence (epidemiology), Humane Voeding & Gezondheid, drinking behavior, risk assessment, food and beverages, Europe, female, classification, beer, lifestyle, Alcohol Drinking, non insulin dependent diabetes mellitu, alcohol consumption, cohort analysi, education, self report, 030209 endocrinology & metabolism, Article, 03 medical and health sciences, male, SDG 3 - Good Health and Well-being, Diabetes mellitus, Environmental health, Journal Article, medicine, follow up, Humans, Life Science, human, wine, Alcoholic Beverage, Life Style, VLAG, Global Nutrition, Wereldvoeding, meta analysi, business.industry, questionnaire, Risk Factor, United States, Aging, medicine.disease, major clinical study, Obesity, United States, Biotechnology, Diabetes Mellitus, Type 2, Socioeconomic Factors, Alcoholic beverage preference, Ageing, business, Body mass index, body ma
Abstract: BACKGROUND/OBJECTIVES: It is unknown if wine, beer and spirit intake lead to a similar association with diabetes. We studied the association between alcoholic beverage preference and type 2 diabetes incidence in persons who reported to consume alcohol. SUBJECTS/METHODS: Ten European cohort studies from the Consortium on Health and Ageing: Network of Cohorts in Europe and the United States were included, comprising participant data of 62 458 adults who reported alcohol consumption at baseline. Diabetes incidence was based on documented and/or self-reported diagnosis during follow-up. Preference was defined when ⩾70% of total alcohol consumed was either beer, wine or spirits. Adjusted hazard ratios (HRs) were computed using Cox proportional hazard regression. Single-cohort HRs were pooled by random-effects meta-analysis. RESULTS: Beer, wine or spirit preference was not related to diabetes risk compared with having no preference. The pooled HRs were HR 1.06 (95% confidence interval (CI) 0.93, 1.20) for beer, HR 0.99 (95% CI 0.88, 1.11) for wine, and HR 1.19 (95% CI 0.97, 1.46) for spirit preference. Absolute wine intake, adjusted for total alcohol, was associated with a lower diabetes risk: pooled HR per 6 g/day was 0.96 (95% CI 0.93, 0.99). A spirit preference was related to a higher diabetes risk in those with a higher body mass index, in men and women separately, but not after excluding persons with prevalent diseases. CONCLUSIONS: This large individual-level meta-analysis among persons who reported alcohol consumption revealed that the preference for beer, wine, and spirits was similarly associated with diabetes incidence compared with having no preference.European Journal of Clinical Nutrition advance online publication, 22 February 2017; doi:10.1038/ejcn.2017.4.
Published: 2017
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196. Excess mortality after hip fracture in elderly persons from Europe and the USA: the CHANCES project

Author: Tina Karapetyan, B. Stegeman, Sture Eriksson, Paolo Boffetta, Ulrika Pettersson-Kymmer, Tom Wilsgaard, Francine Grodstein, Alicja Wolk, Antonia Trichopoulou, Andrea Bellavia, Růžena Kubínová, Luai A. Ahmed, Lone Jørgensen, Vassiliki Benetou, Hermann Brenner, Diane Feskanich, Ben Schöttker, Michail Katsoulis, Martin Bobak, Katsoulis, M., Benetou, V., Karapetyan, T., Feskanich, D., Grodstein, F., Pettersson-Kymmer, U., Eriksson, S., Wilsgaard, T., Jørgensen, L., Ahmed, L.A., Schöttker, B., Brenner, H., Bellavia, A., Wolk, A., Kubinova, R., Stegeman, B., Bobak, M., Boffetta, P., and Trichopoulou, A.
Subjects: Male, musculoskeletal diseases, Gerontology, medicine.medical_specialty, Excess mortality after hip fracture in elderly persons, 030209 endocrinology & metabolism, Comorbidity, Disease, 03 medical and health sciences, Sex Factors, 0302 clinical medicine, Quality of life, Elderly persons, Risk Factors, Cause of Death, Internal Medicine, Humans, Medicine, 030212 general & internal medicine, Prospective cohort study, Aged, Geriatrics, Excess mortality, Hip fracture, Hip Fractures, business.industry, Middle Aged, medicine.disease, United States, 3. Good health, Europe, Chronic Disease, Quality of Life, Female, Functional status, business, Follow-Up Studies
Abstract: Background: Hip fractures are associated with diminished quality of life and survival especially amongst the elderly. Objective: All-cause mortality after hip fracture was investigated to assess its magnitude. Methods: A total of 122 808 participants from eight cohorts in Europe and the USA were followed up for a mean of 12.6 years, accumulating 4273 incident hip fractures and 27 999 deaths. Incident hip fractures were assessed through telephone interviews/questionnaires or national inpatient/fracture registries, and causes of death were verified with death certificates. Cox proportional hazards models and the time-dependent variable methodology were used to assess the association between hip fracture and mortality and its magnitude at different time intervals after the injury in each cohort. We obtained the effect estimates through a random-effects meta-analysis. Results: Hip fracture was positively associated with increased all-cause mortality; the hazard ratio (HR) in the fully adjusted model was 2.12, 95% confidence interval (CI) 1.76–2.57, after adjusting for potential confounders. This association was stronger amongst men [HR: 2.39, 95% CI: 1.72–3.31] than amongst women [HR: 1.92, 95% CI: 1.54–2.39], although this difference was not significant. Mortality was higher during the first year after the hip fracture [HR: 2.78, 95% CI: 2.12–3.64], but it remained elevated without major fluctuations after longer time since hip fracture [HR (95% CI): 1.89 (1.50–2.37) after 1–4 years; 2.15 (1.81–2.55) after 4–8 years; 1.79 (1.57–2.05) after 8 or more years]. Conclusion: In this large population-based sample of older persons across eight cohorts, hip fracture was associated with excess short- and long-term all-cause mortality in both sexes. © 2017 The Association for the Publication of the Journal of Internal Medicine
Published: 2017
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197. A catalog of genetic loci associated with kidney function from analyses of a million individuals

Author: Wuttke, Matthias, Li, Yong, Li, Man, Sieber, Karsten B., Feitosa, Mary F., Gorski, Mathias, Tin, Adrienne, Wang, Lihua, Chu, Audrey Y., Hoppmann, Anselm, Kirsten, Holger, Giri, Ayush, Chai, Jin-Fang, Sveinbjornsson, Gardar, Tayo, Bamidele O., Nutile, Teresa, Fuchsberger, Christian, Marten, Jonathan, Cocca, Massimiliano, Ghasemi, Sahar, Xu, Yizhe, Horn, Katrin, Noce, Damia, van der Most, Peter J., Sedaghat, Sanaz, Yu, Zhi, Akiyama, Masato, Afaq, Saima, Ahluwalia, Tarunveer S., Almgren, Peter, Amin, Najaf, Ärnlöv, Johan, Bakker, Stephan J. L., Bansal, Nisha, Baptista, Daniela, Bergmann, Sven, Biggs, Mary L., Biino, Ginevra, Boehnke, Michael, Boerwinkle, Eric, Boissel, Mathilde, Bottinger, Erwin P., Boutin, Thibaud S., Brenner, Hermann, Brumat, Marco, Burkhardt, Ralph, Butterworth, Adam S., Campana, Eric, Campbell, Archie, Campbell, Harry, Canouil, Mickaël, Carroll, Robert J., Catamo, Eulalia, Chambers, John C., Chee, Miao-Ling, Chee, Miao-Li, Chen, Xu, Cheng, Ching-Yu, Cheng, Yurong, Christensen, Kaare, Cifkova, Renata, Ciullo, Marina, Pina Concas, Maria, Cook, James P., Coresh, Josef, Corre, Tanguy, Sala, Cinzia Felicita, Cusi, Daniele, Danesh, John, Daw, E. Warwick, de Borst, Martin H., De Grandi, Alessandro, de Mutsert, Renée, de Vries, Aiko P. J., Degenhardt, Frauke, Delgado, Graciela, Demirkan, Ayse, Di Angelantonio, Emanuele, Dittrich, Katalin, Divers, Jasmin, Dorajoo, Rajkumar, Eckardt, Kai-Uwe, Ehret, Georg, Elliott, Paul, Endlich, Karlhans, Evans, Michele K., Felix, Janine F., Foo, Valencia Hui Xian, Franco, Oscar H., Franke, Andre, Freedman, Barry I., Freitag-Wolf, Sandra, Friedlander, Yechiel, Froguel, Philippe, Gansevoort, Ron T., Gao, He, Gasparini, Paolo, Gaziano, J. Michael, Giedraitis, Vilmantas, Gieger, Christian, Girotto, Giorgia, Giulianini, Franco, Gögele, Martin, Gordon, Scott D., Gudbjartsson, Daniel F., Gudnason, Vilmundur, Haller, Toomas, Hamet, Pavel, Harris, Tamara B., Hartman, Catharina A., Hayward, Caroline, Hellwege, Jacklyn N., Heng, Chew-Kiat, Hickst, Andrew A., Hofer, Edith, Huang, Wei, Hutri-Kähönen, Nina, Hwang, Shih-Jen, ikram, M. Arfan, indridason, Olafur S., Ingelsson, Erik, ising, Marcus, Jaddoe, Vincent W. V., Jakobsdottir, Johanna, Jonas, Jost B, Joshi, Peter K., Shilpa Josyula, Navya, Jung, Bettina, Kähönen, Mika, Kamatani, Yoichiro, Kammerer, Candace M., Kanai, Masahiro, Kastarinen, Mika, Kerr, Shona M., Khor, Chiea-Chuen, Kiess, Wieland, Kleber, Marcus E., Koenig, Wolfgang, Kooner, Jaspal S., Körner, Antje, Kovacs, Peter, Kraja, Aldi T., Krajcoviechova, Alena, Kramer, Holly, Krämer, Bernhard K., Kronenberg, Florian, Kubo, Michiaki, Kühnel, Brigitte, Kuokkanen, Mikko, Kuusisto, Johanna, La Bianca, Martina, Laakso, Markku, Lange, Leslie A., Langefeld, Carl D., Jen-Mai Lee, Jeannette, Lehne, Benjamin, Lehtimäki, Terho, Lieb, Wolfgang, Cohort Study, Lifelines, Lim, Su-Chi, Lind, Lars, Lindgren, Cecilia M., Liu, Jun, Liu, Jianjun, Loeffler, Markus, Loos, Ruth J. F., Lucae, Susanne, Ann Lukas, Mary, Lyytikäinen, Leo-Pekka, Mägi, Reedik, Magnusson, Patrik K. E., Mahajan, Anubha, Martin, Nicholas G., Martins, Jade, März, Winfried, Mascalzoni, Deborah, Matsuda, Koichi, Christa Meisinger, Meitinger, Thomas, Melander, Olle, Metspalu, Andres, Mikaelsdottir, Evgenia K., Milaneschi, Yuri, Miliku, Kozeta, Mishra, Pashupati P., Veteran Program, V. A. Million, Mohlke, Karen L., Mononen, Nina, Montgomery, Grant W., Mook-Kanamori, Dennis O., Mychaleckyj, Josyf C., Nadkarni, Girish N, Nalls, Mike A., Nauck, Matthias, Nikus, Kjell, Ning, Boting, Nolte, ilja M., Noordam, Raymond, O’Connell, Jeffrey, O’Donoghue, Michelle L., Olafsson, Isleifur, Oldehinkel, Albertine J., Orho-Melander, Marju, Ouwehand, Willem H., Padmanabhan, Sandosh, Palmer, Nicholette D., Palsson, Runolfur, Penninx, Brenda W. J. H., Perls, Thomas, Perola, Markus, Pirastu, Mario, Pirastu, Nicola, Pistis, Giorgio, Podgornaia, Anna I., Polasek, Ozren, Ponte, Belen, Porteous, David J., Poulain, Tanja, Pramstaller, Peter P., Preuss, Michael H., Prins, Bram P., Province, Michael A., Rabelink, Ton J., Raffield, Laura M., Raitakari, Olli T., Reilly, Dermot F., Rettig, Rainer, Rheinberger, Myriam, Rice, Kenneth M., Ridker, Paul M., Rivadeneira, Fernando, Rizzi, Federica, Roberts, David J., Robino, Antonietta, Rossing, Peter, Rudan, Igor, Rueedi, Rico, Ruggiero, Daniela, Ryan, Kathleen A., Saba, Yasaman, Sabanayagam, Charumathi, Salomaa, Veikko, Salvi, Erika, Saum, Kai-Uwe, Schmidt, Helena, Schmidt, Reinhold, Schöttker, Ben, Schulz, Christina-Alexandra, Schupf, Nicole, Shaffer, Christian M., Shi, Yuan, Smith, Albert V., Smith, Blair H., Soranzo, Nicole, Spracklen, Cassandra N., Strauch, Konstantin, Stringham, Heather M., Stumvoll, Michael, Svensson, Per O., Szymczak, Silke, Tai, E-Shyong, Tajuddin, Salman M., Tan, Nicholas Y. Q., Taylor, Kent D., Teren, Andrej, Tham, Yih-Chung, Thiery, Joachim, Thio, Chris H. L., Thomsen, Hauke, Thorleifsson, Gudmar, Toniolo, Daniela, Tönjes, Anke, Tremblay, Johanne, Tzoulaki, Ioanna, Uitterlinden, André G., Vaccargiu, Simona, van Dam, Rob M., van der Harst, Pim, van Duijn, Cornelia M., Velez Edward, Digna R., Verweij, Niek, Vogelezang, suzanne, Völker, üwe, Vollenweider, Peter, Waeber, Gerard, Waldenberger, Melanie, Wallentin, Lars, Wang, Ya Xing, Wang, Chaolong, Waterworth, Dawn M., Bin Wei, Wen, White, Harvey, Whitfield, John B., Wild, Sarah H., Wilson, James F., Wojczynski, Mary K., Wong, Charlene, Wong, Tien-Yin, Xu, Liang, Yang, Qiong, Yasuda, Masayuki, Yerges-Armstrong, Laura M., Zhang, Weihua, Zonderman, Alan B., Rotter, Jerome I., Bochud, Murielle, Psaty, Bruce M., Vitart, Veronique, Wilson, James G., Dehghan, Abbas, Parsa, Afshin, Chasman, Daniel I., Ho, Kevin, Morris, Andrew P., Devuyst, Olivier, Akilesh, Shreeram, Pendergrass, Sarah A., Sim, Xueling, Böger, Carsten A., Okada, Yukinori, Edwards, Todd L., Snieder, Harold, Stefansson, Kari, Hung, Adriana M., Heid, Iris M., Markus Scholz, Teumer, Alexander, Köttgen, Anna, Pattaro, Cristian, Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Cardiovascular Centre (CVC), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Internal Medicine, Epidemiology, Erasmus MC other, Pediatrics, Psychiatry, APH - Mental Health, APH - Digital Health, Wuttke, M, Li, Y, Li, M, Sieber, Kb, Feitosa, Mf, Gorski, M, Tin, A, Wang, L, Chu, Ay, Hoppmann, A, Kirsten, H, Giri, A, Chai, Jf, Sveinbjornsson, G, Tayo, Bo, Nutile, T, Fuchsberger, C, Marten, J, Cocca, M, Ghasemi, S, Xu, Y, Horn, K, Noce, D, van der Most, Pj, Sedaghat, S, Yu, Z, Akiyama, M, Afaq, S, Ahluwalia, T, Almgren, P, Amin, N, Ärnlöv, J, Bakker, Sjl, Bansal, N, Baptista, D, Bergmann, S, Biggs, Ml, Biino, G, Boehnke, M, Boerwinkle, E, Boissel, M, Bottinger, Ep, Boutin, T, Brenner, H, Brumat, M, Burkhardt, R, Butterworth, A, Campana, Eric, Campbell, A, Campbell, H, Canouil, M, Carroll, Rj, Catamo, E, Chambers, Jc, Chee, Ml, Chen, X, Cheng, Cy, Cheng, Y, Christensen, K, Cifkova, R, Ciullo, M, Concas, Mp, Cook, Jp, Coresh, J, Corre, T, Sala, Cf, Cusi, D, Danesh, J, Daw, Ew, de Borst, Mh, De Grandi, A, de Mutsert, R, de Vries, Apj, Degenhardt, F, Delgado, G, Demirkan, A, Di Angelantonio, E, Dittrich, K, Divers, J, Dorajoo, R, Eckardt, Ku, Ehret, G, Elliott, P, Endlich, K, Evans, Mk, Felix, Jf, Foo, Vhx, Franco, Oh, Franke, A, Freedman, Bi, Freitag-Wolf, S, Friedlander, Y, Froguel, P, Gansevoort, Rt, Gao, H, Gasparini, P, Gaziano, Jm, Giedraitis, V, Gieger, C, Girotto, G, Giulianini, F, Gögele, M, Gordon, Sd, Gudbjartsson, Df, Gudnason, V, Haller, T, Hamet, P, Harris, Tb, Hartman, Ca, Hayward, C, Hellwege, Jn, Heng, Ck, Hicks, Aa, Hofer, E, Huang, W, Hutri-Kähönen, N, Hwang, Sj, Ikram, Ma, Indridason, O, Ingelsson, E, Ising, M, Jaddoe, Vwv, Jakobsdottir, J, Jonas, Jb, Joshi, Pk, Josyula, N, Jung, B, Kähönen, M, Kamatani, Y, Kammerer, Cm, Kanai, M, Kastarinen, M, Kerr, Sm, Khor, Cc, Kiess, W, Kleber, Me, Koenig, W, Kooner, J, Körner, A, Kovacs, P, Kraja, At, Krajcoviechova, A, Kramer, H, Krämer, Bk, Kronenberg, F, Kubo, M, Kühnel, B, Kuokkanen, M, Kuusisto, J, La Bianca, M, Laakso, M, Lange, La, Langefeld, Cd, Lee, Jj, Lehne, B, Lehtimäki, T, Lieb, W, Lifelines Cohort, Study, Lim, Sc, Lind, L, Lindgren, Cm, Liu, J, Loeffler, M, Loos, Rjf, Lucae, S, Lukas, Ma, Lyytikäinen, Lp, Mägi, R, Magnusson, Pke, Mahajan, A, Martin, Ng, Martins, J, März, W, Mascalzoni, D, Matsuda, K, Meisinger, C, Meitinger, T, Melander, O, Metspalu, A, Mikaelsdottir, Ek, Milaneschi, Y, Miliku, K, Mishra, Pp, V. A., Million Veteran Program, Mohlke, Kl, Mononen, N, Montgomery, Gw, Mook-Kanamori, Do, Mychaleckyj, Jc, Nadkarni, Gn, Nalls, Ma, Nauck, M, Nikus, K, Ning, B, Nolte, Im, Noordam, R, O'Connell, J, O'Donoghue, Ml, Olafsson, I, Oldehinkel, Aj, Orho-Melander, M, Ouwehand, Wh, Padmanabhan, S, Palmer, Nd, Palsson, R, Penninx, Bwjh, Perls, T, Perola, M, Pirastu, M, Pirastu, N, Pistis, G, Podgornaia, Ai, Polasek, O, Ponte, B, Porteous, Dj, Poulain, T, Pramstaller, Pp, Preuss, Mh, Prins, Bp, Province, Ma, Rabelink, Tj, Raffield, Lm, Raitakari, Ot, Reilly, Df, Rettig, R, Rheinberger, M, Rice, Km, Ridker, Pm, Rivadeneira, F, Rizzi, F, Roberts, Dj, Robino, A, Rossing, P, Rudan, I, Rueedi, R, Ruggiero, D, Ryan, Ka, Saba, Y, Sabanayagam, C, Salomaa, V, Salvi, E, Saum, Ku, Schmidt, H, Schmidt, R, Schöttker, B, Schulz, Ca, Schupf, N, Shaffer, Cm, Shi, Y, Smith, Av, Smith, Bh, Soranzo, N, Spracklen, Cn, Strauch, K, Stringham, Hm, Stumvoll, M, Svensson, Po, Szymczak, S, Tai, E, Tajuddin, Sm, Tan, Nyq, Taylor, Kd, Teren, A, Tham, Yc, Thiery, J, Thio, Chl, Thomsen, H, Thorleifsson, G, Toniolo, D, Tönjes, A, Tremblay, J, Tzoulaki, I, Uitterlinden, Ag, Vaccargiu, S, van Dam, Rm, van der Harst, P, van Duijn, Cm, Velez Edward, Dr, Verweij, N, Vogelezang, S, Völker, U, Vollenweider, P, Waeber, G, Waldenberger, M, Wallentin, L, Wang, Yx, Wang, C, Waterworth, Dm, Bin Wei, W, White, H, Whitfield, Jb, Wild, Sh, Wilson, Jf, Wojczynski, Mk, Wong, C, Wong, Ty, Xu, L, Yang, Q, Yasuda, M, Yerges-Armstrong, Lm, Zhang, W, Zonderman, Ab, Rotter, Ji, Bochud, M, Psaty, Bm, Vitart, V, Wilson, Jg, Dehghan, A, Parsa, A, Chasman, Di, Ho, K, Morris, Ap, Devuyst, O, Akilesh, S, Pendergrass, Sa, Sim, X, Böger, Ca, Okada, Y, Edwards, Tl, Snieder, H, Stefansson, K, Hung, Am, Heid, Im, Scholz, M, Teumer, A, Köttgen, A, and Pattaro, C.
Subjects: catalog, Inheritance Patterns, Hasso-Plattner-Institut für Digital Engineering GmbH, Genome-wide association study, Disease, Kidney Function Tests, Bioinformatics, DISEASE, 0302 clinical medicine, Uromodulin/urine, kidney function, 11 Medical and Health Sciences, Genetics & Heredity, ddc:616, 0303 health sciences, Kidney, Genome-wide association, HERITABILITY, GENOME-WIDE ASSOCIATION, COMMON VARIANTS, RENAL-FUNCTION, TRANS-EQTLS, METAANALYSIS, TRANSPORTER, CLASSIFICATION, INTEGRATION, Chromosome Mapping, 3. Good health, Phenotype, medicine.anatomical_structure, Medical genetics, Common variants, Renal function, Trans-EQTLS, Metaanalysis, Heritability, Transporter, Life Sciences & Biomedicine, Glomerular Filtration Rate, Metaanalysi, medicine.medical_specialty, Genotype, European Continental Ancestry Group, Quantitative Trait Loci, Common variant, Quantitative trait locus, Biology, Polymorphism, Single Nucleotide, Article, White People, V. A. Million Veteran Program, 03 medical and health sciences, Quantitative Trait, Heritable, Lifelines Cohort Study, Uromodulin, Genetics, medicine, Humans, Genetic Predisposition to Disease, Renal Insufficiency, Chronic, Genetic Association Studies, 030304 developmental biology, Genetic association, Science & Technology, urogenital system, association, genetic loci, 06 Biological Sciences, medicine.disease, Renal Insufficiency, Chronic/genetics/physiopathology/urine, Genetic Association Studies/methods, ddc:000, 030217 neurology & neurosurgery, Developmental Biology, Genome-Wide Association Study, Kidney disease
Abstract: Chronic kidney disease (CKD) is responsible for a public health burden with multi-systemic complications. Through trans-ancestry meta-analysis of genome-wide association studies of estimated glomerular filtration rate (eGFR) and independent replication (n = 1,046,070), we identified 264 associated loci (166 new). Of these, 147 were likely to be relevant for kidney function on the basis of associations with the alternative kidney function marker blood urea nitrogen (n = 416,178). Pathway and enrichment analyses, including mouse models with renal phenotypes, support the kidney as the main target organ. A genetic risk score for lower eGFR was associated with clinically diagnosed CKD in 452,264 independent individuals. Colocalization analyses of associations with eGFR among 783,978 European-ancestry individuals and gene expression across 46 human tissues, including tubulo-interstitial and glomerular kidney compartments, identified 17 genes differentially expressed in kidney. Fine-mapping highlighted missense driver variants in 11 genes and kidney-specific regulatory variants. These results provide a comprehensive priority list of molecular targets for translational research.
Published: 2019
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198. Rising rural body-mass index is the main driver of the global obesity epidemic in adults

Author: Bixby, Honor, Bentham, James, Zhou, Bin, Di Cesare, Mariachiara, Paciorek, Christopher J., Bennett, James E., Taddei, Cristina, Stevens, Gretchen A., Rodriguez-Martinez, Andrea, Carrillo-Larco, Rodrigo M., Khang, Young-Ho, Soric, Maroje, Gregg, Edward W., Miranda, J. Jaime, Bhutta, Zulfiqar A., Savin, Stefan, Sophiea, Marisa K., Iurilli, Maria L. 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H, Zapata ME, Zaw KK, Zdrojewski T, Zeljkovic Vrkic T, Zeng Y, Zhao D, Zhao W, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zhussupov B, Zimmermann E, Zuñiga Cisneros J, Ezzati M, Yiallouros, Panayiotis K. [0000-0002-8339-9285], APH - Societal Participation & Health, APH - Aging & Later Life, Epidemiology and Data Science, Public and occupational health, APH - Health Behaviors & Chronic Diseases, and APH - Personalized Medicine
Subjects: Male, Rural Population, obesity, Obesity, body mass index, Settore MED/09 - Medicina Interna, Letter, Urban Population, Epidemiology, [SDV]Life Sciences [q-bio], humanos, body-mass index, adolescente, Geographic Mapping, Sex Factor, países desarrollados, Rural Health, purl.org/pe-repo/ocde/ford#3.03.09 [https], systematic analysis, Body Mass Index, países en desarrollo, 80 and over, risk factors, Age Factor, physical-activity, mediana edad, mapeo geográfico, Aged, 80 and over, anciano, purl.org/pe-repo/ocde/ford#3.02.18 [https], dieta, Age Factors, health, adulto, Middle Aged, Multidisciplinary Sciences, adulto joven, [SDV] Life Sciences [q-bio], estado nutricional, nutrition, Science & Technology - Other Topics, NUTRITION, Female, HEALTH, pooled analysis, Diet, Healthy, worldwide trends, Human, Developed Countrie, Adult, Adolescent, purl.org/pe-repo/ocde/ford#3.03.04 [https], FOOD SYSTEM, Socio-culturale, Nutritional Status, URBAN, Aged, Developed Countries, Developing Countries, Humans, Obesity, Sex Factors, Urban Health, Young Adult, POOLED ANALYSIS, Developing Countrie, MIDDLE-INCOME COUNTRIES, SYSTEMATIC ANALYSIS, Urban rural Obesity Body-Mass-Index, obesidad, Middle-income countries, food system, urban, weight, Healthy, Science & Technology, índice de masa corporal, Diet, PHYSICAL-ACTIVITY, WORLDWIDE TRENDS, Risk factors, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, WEIGHT
Abstract: Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities(.)(1,2) This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity(3-6). Here we use 2,009 population-based studies, with measurements of height and weight in more than 112 million adults, to report national, regional and global trends in mean BMI segregated by place of residence (a rural or urban area) from 1985 to 2017. We show that, contrary to the dominant paradigm, more than 55% of the global rise in mean BMI from 1985 to 2017-and more than 80% in some low- and middle-income regions-was due to increases in BMI in rural areas. This large contribution stems from the fact that, with the exception of women in sub-Saharan Africa, BMI is increasing at the same rate or faster in rural areas than in cities in low- and middle-income regions. These trends have in turn resulted in a closing-and in some countries reversal-of the gap in BMI between urban and rural areas in low- and middle-income countries, especially for women. In high-income and industrialized countries, we noted a persistently higher rural BMI, especially for women. There is an urgent need for an integrated approach to rural nutrition that enhances financial and physical access to healthy foods, to avoid replacing the rural undernutrition disadvantage in poor countries with a more general malnutrition disadvantage that entails excessive consumption of low-quality calories., This study was funded by the Wellcome Trust. H.B. was supported by a Medical Research Council Doctoral Training Partnership Studentship, J.B. by a Royal Society Research Grant, and M.D.C. by an Academy of Medical Sciences Springboard Award. We thank L. Jaacks, B. Popkin, S. Sundberg and W. Willett for recommendations of relevant citations. The authors are responsible for the views expressed in this Letter and they do not necessarily represent the views, decisions, or policies of the institutions with which they are affiliated.
Published: 2019
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199. Carga global, regional y nacional de neurológicas. Desórdenes, 1990-2016: un análisis sistemático para el Global Estudio de la carga de enfermedad 2016

Author: Feigin V, Nichols E, Alam T, Bannick M, Beghi E, Blake N, Culpepper W, Dorsey E, Elbaz A, Ellenbogen R, Fisher J, Fitzmaurice C, Giussani G, Glennie L, James S, Johnson C, Kassebaum N, Logroscino G, Marin B, Mountjoy-Venning W, Nguyen M, Ofori-Asenso R, Patel A, Piccininni M, Roth G, Steiner T, Stovner L, Szoeke C, Theadom A, Vollset S, Wallin M, Wright C, Zunt J, Abbasi N, Abd-Allah F, Abdelalim A, Abdollahpour I, Aboyans V, Abraha H, Acharya D, Adamu A, Adebayo O, Adeoye A, Adsuar J, Afarideh M, Agrawal S, Ahmadi A, Ahmed M, Aichour A, Aichour I, Aichour M, Akinyemi R, Akseer N, Al-Eyadhy A, Salman R, Alahdab F, Alene K, Aljunid S, Altirkawi K, Alvis-Guzman N, Anber N, Antonio C, Arabloo J, Aremu O, Arnlov J, Asayesh H, Asghar R, Atalay H, Awasthi A, Quintanilla B, Ayuk T, Badawi A, Banach M, Banoub J, Barboza M, Barker-Collo S, Barnighausen T, Baune B, Bedi N, Behzadifar M, Bejot Y, Bekele B, Belachew A, Bennett D, Bensenor I, Berhane A, Beuran M, Bhattacharyya K, Bhutta Z, Biadgo B, Bijani A, Bililign N, Bin Sayeed M, Blazes C, Brayne C, Butt Z, Campos-Nonato I, Cantu-Brito C, Car M, Cardenas R, Carrero J, Carvalho F, Castaneda-Orjuela C, Castro F, Catala-Lopez F, Cerin E, Chaiah Y, Chang J, Chatziralli I, Chiang P, Christensen H, Christopher D, Cooper C, Cortesi P, Costa V, Criqui M, Crowe C, Damasceno A, Daryani A, De la Cruz-Gongora V, De la Hoz F, De Leo D, Degefa M, Demoz G, Deribe K, Dharmaratne S, Diaz D, Dinberu M, Djalalinia S, Doku D, Dubey M, Dubljanin E, Duken E, Edvardsson D, El-Khatib Z, Endres M, Endries A, Eskandarieh S, Esteghamati A, Esteghamati S, Farhadi F, Faro A, Farzadfar F, Farzaei M, Fatima B, Fereshtehnejad S, Fernandes E, Feyissa G, Filip I, Fischer F, Fukumoto T, Ganji M, Gankpe F, Garcia-Gordillo M, Gebre A, Gebremichael T, Gelaw B, Geleijnse J, Geremew D, Gezae K, Ghasemi-Kasman M, Gidey M, Gill P, Gill T, Gnedovskaya E, Goulart A, Grada A, Grosso G, Guo Y, Gupta R, Haagsma J, Hagos T, Haj-Mirzaian A, Hamadeh R, Hamidi S, 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Mengistu D, Mengistu G, Meretoja A, Meretoja T, Mestrovic T, Miazgowski B, Miazgowski T, Miller T, Mini G, Mirrakhimov E, Moazen B, Mohajer B, Mezerji N, Mohammadi M, Mohammadi-Khanaposhtani M, Mohammadibakhsh R, Mohammadnia-Afrouzi M, Mohammed S, Mohebi F, Mokdad A, Monasta L, Mondello S, Moodley Y, Moosazadeh M, Moradi G, Moradi-Lakeh M, Moradinazar M, Moraga P, Velasquez I, Morrison S, Mousavi S, Muhammed O, Muruet W, Musa K, Mustafa G, Naderi M, Nagel G, Naheed A, Naik G, Najafi F, Nangia V, Negoi I, Negoi R, Newton C, Ngunjiri J, Nguyen C, Nguyen L, Ningrum D, Nirayo Y, Nixon M, Norrving B, Noubiap J, Shiadeh M, Nyasulu P, Ogbo F, Oh I, Olagunju A, Olagunju T, Olivares P, Onwujekwe O, Oren E, Owolabi M, Mahesh P, Pakpour A, Pan W, Panda-Jonas S, Pandian J, Patel S, Pereira D, Petzold M, Pillay J, Piradov M, Polanczyk G, Polinder S, Postma M, Poulton R, Poustchi H, Prakash S, Prakash V, Qorbani M, Radfar A, Rafay A, Rafiei A, Rahim F, Rahimi-Movaghar V, Rahman M, Rajati F, Ram U, 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Affordability and Sustainability (VALUE), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Microbes in Health and Disease (MHD), Lee Kong Chian School of Medicine (LKCMedicine), Clinicum, Department of Neurosciences, Neurologian yksikkö, Department of Surgery, University of Helsinki, II kirurgian klinikka, and HUS Comprehensive Cancer Center
Subjects: Dánarmein, Male, Epidemiology, Diseases, Malalties cerebrals, Global Burden of Disease, Disability Evaluation, 0302 clinical medicine, Case fatality rate, Psychology, Konur, Cause of death, Aged, 80 and over, education.field_of_study, Incidence, Men, Taugavísindi, ddc, 3. Good health, Sálfræði, World health, Muerte, Neurology, GBD 2016 Neurology Collaborators, Brain diseases, Quality-Adjusted Life Years, Alzheimer disease, Carga global de enfermedades, Nervous system, medicine.medical_specialty, Global burden of diseases, Lífsgæði, Article, 03 medical and health sciences, Health Sciences, Humans, Women, education, Trastornos neurológicos, VLAG, Aged, Science & Technology, 3112 Neurosciences, Global Burden of Diseases, 030104 developmental biology, Years of potential life lost, Επιστήμες Υγείας, Dementia, Human medicine, Neurosciences & Neurology, Neurology (clinical), Clinical Medicine, 1109 Neurosciences, Neurological disorders, 030217 neurology & neurosurgery, dementia, RC, 0301 basic medicine, Pediatrics, Dánartíðni, Nutrition and Disease, 3124 Neurology and psychiatry, Disease Study, Taugasjúkdómar, Risk Factors, Voeding en Ziekte, Cause of Death, Global health, Prevalence, Causes of death, Public health, Mortality rate, Mental Disorders, Age Factors, Public Health, Global Health, Social Medicine and Epidemiology, Middle Aged, neurologic disease, Death, Lýðheilsa, Female, Life Sciences & Biomedicine, Quality of life, Adult, Population, Clinical Neurology, Sex Factors, medicine, Life Science, Disability-adjusted life year, Medicine [Science], Mortality, Psychiatry, Disease burden, Neurology & Neurosurgery, burden of neurological disorders, Faraldsfræði, business.industry, Klinisk medicin, Causes de la mort, 1103 Clinical Sciences, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Socioeconomic Factors, Karlar, global disease burden, Nervous System Diseases, Cause of death/trends, business
Abstract: Publisher´s version (útgefin grein)., Background Neurological disorders are increasingly recognised as major causes of death and disability worldwide. The aim of this analysis from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 is to provide the most comprehensive and up-to-date estimates of the global, regional, and national burden from neurological disorders.Methods We estimated prevalence, incidence, deaths, and disability-adjusted life-years (DALYs; the sum of years of life lost [YLLs] and years lived with disability [YLDs]) by age and sex for 15 neurological disorder categories (tetanus, meningitis, encephalitis, stroke, brain and other CNS cancers, traumatic brain injury, spinal cord injury, Alzheimer’s disease and other dementias, Parkinson’s disease, multiple sclerosis, motor neuron diseases, idiopathic epilepsy, migraine, tension-type headache, and a residual category for other less common neurological disorders) in 195 countries from 1990 to 2016. DisMod-MR 2.1, a Bayesian meta-regression tool, was the main method of estimation of prevalence and incidence, and the Cause of Death Ensemble model (CODEm) was used for mortality estimation. We quantified the contribution of 84 risks and combinations of risk to the disease estimates for the 15 neurological disorder categories using the GBD comparative risk assessment approach.Findings Globally, in 2016, neurological disorders were the leading cause of DALYs (276 million [95% UI 247–308]) and second leading cause of deaths (9·0 million [8·8–9·4]). The absolute number of deaths and DALYs from all neurological disorders combined increased (deaths by 39% [34–44] and DALYs by 15% [9–21]) whereas their age-standardised rates decreased (deaths by 28% [26–30] and DALYs by 27% [24–31]) between 1990 and 2016. The only neurological disorders that had a decrease in rates and absolute numbers of deaths and DALYs were tetanus, meningitis, and encephalitis. The four largest contributors of neurological DALYs were stroke (42·2% [38·6–46·1]), migraine (16·3% [11·7–20·8]), Alzheimer’s and other dementias (10·4% [9·0–12·1]), and meningitis (7·9% [6·6–10·4]). For the combined neurological disorders, age-standardised DALY rates were significantly higher in males than in females (male-to-female ratio 1·12 [1·05–1·20]), but migraine, multiple sclerosis, and tension-type headache were more common and caused more burden in females, with male-to-female ratios of less than 0·7. The 84 risks quantified in GBD explain less than 10% of neurological disorder DALY burdens, except stroke, for which 88·8% (86·5–90·9) of DALYs are attributable to risk factors, and to a lesser extent Alzheimer’s disease and other dementias (22·3% [11·8–35·1] of DALYs are risk attributable) and idiopathic epilepsy (14·1% [10·8–17·5] of DALYs are risk attributable).Interpretation Globally, the burden of neurological disorders, as measured by the absolute number of DALYs, continues to increase. As populations are growing and ageing, and the prevalence of major disabling neurological disorders steeply increases with age, governments will face increasing demand for treatment, rehabilitation, and support services for neurological disorders. The scarcity of established modifiable risks for most of the neurological burden demonstrates that new knowledge is required to develop effective prevention and treatment strategies., ROA is funded by the National Institutes of Health (U01HG010273). SMA acknowledges the International Centre for Casemix and Clinical Coding, Faculty of Medicine, National University of Malaysia and Department of Health Policy and Management, Faculty of Public Health, Kuwait University for the approval and support to participate in this research project. AAw acknowledges funding support from Department of Science and Technology, Government of India, New Delhi, through INSPIRE Faculty scheme. TBA acknowledges partial funding from the Institute of Medical Research and Medicinal Plant Studies. ABa is supported by the Public Health Agency of Canada. TWB was supported by the Alexander von Humboldt Foundation through the Alexander von Humboldt Professor Award, funded by the Federal Ministry of Education and Research. MSBS acknowledges support from the Australian Government Research and Training Program scholarship for a PhD degree at the Australian National University, Australia. JJC is supported by the Swedish Heart and Lung Foundation. FCar is supported by the European Union (FEDER funds POCI/01/0145/FEDER/007728 and POCI/01/0145/FEDER/007265) and National Funds (FCT/MEC, Fundacao para a Ciencia e a Tecnologia and Ministerio da Educacao e Ciencia) under the Partnership Agreements PT2020 UID/MULTI/04378/2013 and PT2020UID/QUI/50006/2013. EC is supported by an Australian Research Council Future Fellowship (FT3 140100085). KD is supported by a Wellcome Trust [Grant Number 201900] as part of his International Intermediate Fellowship. EF is supported by the European Union (FEDER funds POCI/01/0145/FEDER/007728 and POCI/01/0145/FEDER/007265) and National Funds (FCT/MEC, Fundacao para a Ciencia e a Tecnologia and Ministerio da Educacao e Ciencia) under the Partnership Agreements PT2020 UID/MULTI/04378/2013 and PT2020UID/QUI/50006/2013. SMSI is funded by the Institute for Physical Activity and Nutrition (IPAN), Deakin University and received funding from High Blood Pressure Research Council of Australia. YKa is a DBT/Wellcome Trust India Alliance Fellow in Public Health. YJK is supported by the Office of Research and Innovation at Xiamen University Malaysia. BL acknowledges funding from the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre. WDL is supported in part by U10NS086484 NINDS. SLo is funded by the German Federal Ministry of Education and Research (nutriCARD, grant agreement number 01EA1411A). RML is supported by a National Health and Medical Research Council (NHMRC) of Australia Senior Research Fellowship. AMa and the Imperial College London are grateful for support from the NW London NIHR Collaboration for Leadership in Applied Health Research and Care. JJM is supported by the Danish National Research Foundation (Niels Bohr Professorship), and the John Cade Fellowship (APP1056929) from NHMRC. TMei acknowledges additional institutional support from the Competence Cluster for Nutrition and Cardiovascular Health (nutriCARD), Jena-Halle-Leipzig. IMV is supported by the Sistema Nacional de Investigacion (Panama). MOO is supported by SIREN U54 U54HG007479 and SIBS Genomics R01NS107900 grants. AMS was supported by a fellowship from the Egyptian Fulbright Mission Program. MMSM acknowledges the support from the Ministry of Education, Science and Technological Development, Republic of Serbia (contract no 175087). AShe is supported by Health Data Research UK. MBS' work on traumatic brain injury is supported by grants NIH U01 NS086090 (PI G Manley) from the National Institutes of Health (NIH) and DoD W81XWH-14-2-0176 (PI G Manley) from the United States Department of Defense. RTS is supported in part by grant number PROMETEOII/2015/021 from Generalitat Valenciana and the national grant PI17/00719 from ISCIIIFEDER. AGT was supported by a Fellowship from the NHMRC (Australia; 1042600. KBT acknowledges funding supports from the Maurice Wilkins Centre for Biodiscovery, Cancer Society of New Zealand, Health Research Council, Gut Cancer Foundation, and the University of Auckland. CY acknowledges support from the National Natural Science Foundation of China (grant number 81773552) and the Chinese NSFC International Cooperation and Exchange Program (grant number 71661167007)., "Peer Reviewed"
Published: 2019
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200. Application of non-HDL cholesterol for population-based cardiovascular risk stratification: results from the Multinational Cardiovascular Risk Consortium

Author: Philipp S. Wild, Francesco Gianfagna, Christoph Waldeyer, Maryam Kavousi, Mark Woodward, Ulf Risérus, Susana Sans, Barbara Thorand, Martin Ingelsson, Ramachandran S. Vasan, Christa Meisinger, Yuriy P. Nikitin, Börge Schmidt, Olle Melander, Wojciech Drygas, Stefan Blankenberg, Frank Kee, Demosthenes B. Panagiotakos, Kari Kuulasmaa, Torben Jørgensen, Wolfgang Koenig, Ben Schöttker, Jean Ferrières, Annette J. Dobson, Fabian J. Brunner, Veikko Salomaa, David M. Leistner, Pekka Jousilahti, Marie Moitry, Jonathan E. Shaw, Philippe Amouyel, Karl-Heinz Jöckel, Jens Klotsche, Andres Metspalu, Giovanni Veronesi, Mats Eliasson, Graham G. Giles, Allan Linneberg, Christos Pitsavos, Guido Grassi, Ellisiv B. Mathiesen, Hermann Brenner, Stephan J. L. Bakker, Tom Wilsgaard, Magnus Nakrem Lyngbakken, Peter H. Whincup, T. Jaaskelainen, Kristian Hveem, Marcus Dörr, Steven Shea, Robin P. F. Dullaart, Teemu J. Niiranen, Nataliya Makarova, Stefan Söderberg, Satu Männistö, Abdonas Tamosiunas, Licia Iacoviello, Jean Dallongeville, Karl J. Lackner, Maris Alver, Tanja Zeller, Raphael Twerenbold, Dianna J. Magliano, S. Goya Wannamethee, Matthias Nauck, Ulf Landmesser, Allison M. Hodge, Francisco Ojeda, Paolo Brambilla, Thiess Lorenz, Sofia Malyutina, Chiara Donfrancesco, Jukka Kontto, Henry Völzke, Martin Bobak, Annette Peters, Gunnar Engström, James A. de Lemos, Hugh Tunstall-Pedoe, Stefano Signorini, Simona Giampaoli, Simona Costanzo, Andrzej Pajak, Leon A. Simons, M. Kamran Ikram, Emelia J. Benjamin, Torbjørn Omland, Lifestyle Medicine (LM), Groningen Institute for Organ Transplantation (GIOT), Groningen Kidney Center (GKC), Brunner, F, Waldeyer, C, Ojeda, F, Salomaa, V, Kee, F, Sans, S, Thorand, B, Giampaoli, S, Brambilla, P, Tunstall-Pedoe, H, Moitry, M, Iacoviello, L, Veronesi, G, Grassi, G, Mathiesen, E, Söderberg, S, Linneberg, A, Brenner, H, Amouyel, P, Ferrières, J, Tamosiunas, A, Nikitin, Y, Drygas, W, Melander, O, Jöckel, K, Leistner, D, Shaw, J, Panagiotakos, D, Simons, L, Kavousi, M, Vasan, R, Dullaart, R, Wannamethee, S, Risérus, U, Shea, S, de Lemos, J, Omland, T, Kuulasmaa, K, Landmesser, U, Blankenberg, S, Zeller, T, Kontto, J, Männistö, S, Metspalu, A, Lackner, K, Wild, P, Peters, A, Meisinger, C, Donfrancesco, C, Signorini, S, Alver, M, Woodward, M, Gianfagna, F, Costanzo, S, Wilsgaard, T, Eliasson, M, Jørgensen, T, Völzke, H, Dörr, M, Nauck, M, Schöttker, B, Lorenz, T, Makarova, N, Twerenbold, R, Dallongeville, J, Dobson, A, Malyutina, S, Pajak, A, Engström, G, Bobak, M, Schmidt, B, Jääskeläinen, T, Niiranen, T, Jousilahti, P, Giles, G, Hodge, A, Klotsche, J, Magliano, D, Lyngbakken, M, Hveem, K, Pitsavos, C, Benjamin, E, Bakker, S, Whincup, P, Ikram, M, Ingelsson, M, Koenig, W, and Epidemiology
Subjects: Male, PREDICTION, Medizin, Blood lipids, 10-YEAR RISK, Disease, Familial hypercholesterolemia, 030204 cardiovascular system & hematology, chemistry.chemical_compound, 0302 clinical medicine, Risk Factors, Medicine, PARTICIPANTS, Cardiac and Cardiovascular Systems, 030212 general & internal medicine, FAMILIAL HYPERCHOLESTEROLEMIA, Medicine(all), GENERAL-POPULATION, Kardiologi, Incidence (epidemiology), General Medicine, ASSOCIATION, Middle Aged, 3. Good health, Europe, Cholesterol, DENSITY-LIPOPROTEIN CHOLESTEROL, Cardiovascular Diseases, Cohort, Endokrinologi och diabetes, Female, lipids (amino acids, peptides, and proteins), Risk assessment, Adult, medicine.medical_specialty, APOLIPOPROTEIN-B, Endocrinology and Diabetes, Risk Assessment, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Internal medicine, Humans, VDP::Medisinske Fag: 700, CORONARY-HEART-DISEASE, ddc:610, Aged, business.industry, Australia, Cholesterol, LDL, Guideline, medicine.disease, United States, VDP::Medical disciplines: 700, chemistry, business, TASK-FORCE
Abstract: Background: The relevance of blood lipid concentrations to long-term incidence of cardiovascular disease and the relevance of lipid-lowering therapy for cardiovascular disease outcomes is unclear. We investigated the cardiovascular disease risk associated with the full spectrum of bloodstream non-HDL cholesterol concentrations. We also created an easy-to-use tool to estimate the long-term probabilities for a cardiovascular disease event associated with non-HDL cholesterol and modelled its risk reduction by lipid-lowering treatment. Methods: In this risk-evaluation and risk-modelling study, we used Multinational Cardiovascular Risk Consortium data from 19 countries across Europe, Australia, and North America. Individuals without prevalent cardiovascular disease at baseline and with robust available data on cardiovascular disease outcomes were included. The primary composite endpoint of atherosclerotic cardiovascular disease was defined as the occurrence of the coronary heart disease event or ischaemic stroke. Sex-specific multivariable analyses were computed using non-HDL cholesterol categories according to the European guideline thresholds, adjusted for age, sex, cohort, and classical modifiable cardiovascular risk factors. In a derivation and validation design, we created a tool to estimate the probabilities of a cardiovascular disease event by the age of 75 years, dependent on age, sex, and risk factors, and the associated modelled risk reduction, assuming a 50% reduction of non-HDL cholesterol. Findings: Of the 524 444 individuals in the 44 cohorts in the Consortium database, we identified 398 846 individuals belonging to 38 cohorts (184 055 [48·7%] women; median age 51·0 years [IQR 40·7–59·7]). 199 415 individuals were included in the derivation cohort (91 786 [48·4%] women) and 199 431 (92 269 [49·1%] women) in the validation cohort. During a maximum follow-up of 43·6 years (median 13·5 years, IQR 7·0–20·1), 54 542 cardiovascular endpoints occurred. Incidence curve analyses showed progressively higher 30-year cardiovascular disease event-rates for increasing non-HDL cholesterol categories (from 7·7% for non-HDL cholesterol
Published: 2019
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