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1. The association of pure fruit juice, sugar-sweetened beverages and fruit consumption with asthma prevalence in adolescents growing up from 11 to 20 years: The PIAMA birth cohort study

Author

Floor R. Scheffers, Jolanda M.A. Boer, Ulrike Gehring, Gerard H. Koppelman, Judith Vonk, Henriëtte A. Smit, W.M. Monique Verschuren, and Alet H. Wijga

Subjects
Asthma, Pure fruit juice, Sugar-sweetened beverages, Fruit, Sugars, Fructose, Medicine
Abstract

Pure fruit juice is comparable to sugar-sweetened beverages (SSBs) with respect to its sugar and fructose content. However, it also contains favorable components like polyphenols. From this perspective, pure fruit juice is more comparable with whole fruit. SSBs have been associated with higher asthma risk, while whole fruit consumption has been associated with lower prevalence of asthma (symptoms). Associations with pure fruit juice have been rarely studied. Therefore, we studied the associations of consumption of pure fruit juice, SSBs and whole fruit with asthma prevalence in 3046 children of the Dutch Prevention and Incidence of Asthma and Mite Allergy (PIAMA) birth cohort growing up from 11 to 20 years. Consumption of pure fruit juice, SSBs and fruit was self-reported at the ages of 11, 14, 17 and 20 years. Presence of asthma was defined based on parental reports of asthma diagnosis ever, and wheezing and asthma medication in the last 12 months. Odds ratios (OR) were estimated using generalized linear mixed models accounting for correlation between repeated measurements within subjects. No associations were found between pure fruit juice, SSBs and fruit consumption and the overall prevalence of asthma from 11 to 20 years. An earlier reported association of low pure fruit juice consumption with higher asthma prevalence at the age of 11 years in the PIAMA population was confirmed, but no associations were found at the ages of 14, 17 and 20 years.

Published
2022
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2. Prevalence of protein intake below recommended in community‐dwelling older adults: a meta‐analysis across cohorts from the PROMISS consortium

Author

Linda M. Hengeveld, Jolanda M.A. Boer, Pierrette Gaudreau, Martijn W. Heymans, Carol Jagger, Nuno Mendonça, Marga C. Ocké, Nancy Presse, Stefania Sette, Eleanor M. Simonsick, Heli Tapanainen, Aida Turrini, Suvi M. Virtanen, Hanneke A.H. Wijnhoven, and Marjolein Visser

Subjects
Protein, Diet, Old age, Prevalence, Recommendations, Multi‐cohort, Diseases of the musculoskeletal system, RC925-935, Human anatomy, QM1-695
Abstract

Abstract Background Lower protein intake in older adults is associated with loss of muscle mass and strength. The present study aimed to provide a pooled estimate of the overall prevalence of protein intake below recommended (according to different cut‐off values) among community‐dwelling older adults, both within the general older population and within specific subgroups. Methods As part of the PRevention Of Malnutrition In Senior Subjects in the EU (PROMISS) project, a meta‐analysis was performed using data from four cohorts (from the Netherlands, UK, Canada, and USA) and four national surveys [from the Netherlands, Finland (two), and Italy]. Within those studies, data on protein and energy intake of community‐dwelling men and women aged ≥55 years were obtained by either a food frequency questionnaire, 24 h recalls administered on 2 or 3 days, or food diaries administered on 3 days. Protein intake below recommended was based on the recommended dietary allowance of 0.8 g/kg body weight (BW)/d, by using adjusted BW (aBW) instead of actual BW. Cut‐off values of 1.0 and 1.2 were applied in additional analyses. Prevalences were also examined for subgroups according to sex, age, body mass index (BMI), education level, appetite, living status, and recent weight loss. Results The study sample comprised 8107 older persons. Mean ± standard deviation protein intake ranged from 64.3 ± 22.3 (UK) to 80.6 ± 23.7 g/d [the Netherlands (cohort)] or from 0.94 ± 0.38 (USA) to 1.17z ± 0.30 g/kg aBW/d (Italy) when related to BW. The overall pooled prevalence of protein intake below recommended was 21.5% (95% confidence interval: 14.0–30.1), 46.7% (38.3–55.3), and 70.8% (65.1–76.3) using the 0.8, 1.0, and 1.2 cut‐off value, respectively. A higher prevalence was observed among women, individuals with higher BMI, and individuals with poor appetite. The prevalence differed only marginally by age, education level, living status, and recent weight loss. Conclusions In community‐dwelling older adults, the prevalence of protein intake below the current recommendation of 0.8 g/kg aBW/d is substantial (14–30%) and increases to 65–76% according to a cut‐off value of 1.2 g/kg aBW/d. To what extent the protein intakes are below the requirements of these older people warrants further investigation.

Published
2020
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3. Multiple genetic variants along candidate pathways influence plasma high-density lipoprotein cholesterol concentrationss⃞

Author

Yingchang Lu, Martijn E.T. Dollé, Sandra Imholz, Ruben van 't Slot, W.M.Monique Verschuren, Cisca Wijmenga, Edith J.M. Feskens, and Jolanda M.A. Boer

Subjects
single nucleotide polymorphism, pathway-driven approach, random coefficient model, Biochemistry, QD415-436
Abstract

The known genetic variants determining plasma HDL cholesterol (HDL-C) levels explain only part of its variation. Three hundred eighty-four single nucleotide polymorphisms (SNPs) across 251 genes based on pathways potentially relevant to HDL-C metabolism were selected and genotyped in 3,575 subjects from the Doetinchem cohort, which was examined thrice over 11 years. Three hundred fifty-three SNPs in 239 genes passed the quality-control criteria. Seven SNPs [rs1800777 and rs5882 in cholesteryl ester transfer protein (CETP); rs3208305, rs328, and rs268 in LPL; rs1800588 in LIPC; rs2229741 in NRIP1] were associated with plasma HDL-C levels with false discovery rate (FDR) adjusted q values (FDR_q) < 0.05. Five other SNPs (rs17585739 in SC4MOL, rs11066322 in PTPN11, rs4961 in ADD1, rs6060717 near SCAND1, and rs3213451 in MBTPS2 in women) were associated with plasma HDL-C levels with FDR_q between 0.05 and 0.2. Two less well replicated associations (rs3135506 in APOA5 and rs1800961 in HNF4A) known from the literature were also observed, but their significance disappeared after adjustment for multiple testing (P = 0.008, FDR_q = 0.221 for rs3135506; P = 0.018, FDR_q = 0.338 for rs1800961, respectively). In addition to replication of previous results for candidate genes (CETP, LPL, LIPC, HNF4A, and APOA5), we found interesting new candidate SNPs (rs2229741 in NRIP1, rs3213451 in MBTPS2, rs17585739 in SC4MOL, rs11066322 in PTPN11, rs4961 in ADD1, and rs6060717 near SCAND1) for plasma HDL-C levels that should be evaluated further.

Published
2008
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4. Associations between dietary inflammatory scores and biomarkers of inflammation in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort

Author

Lucie Lécuyer, Nasser Laouali, Vivian Viallon, Fanny Artaud, James R. Hébert, Nitin Shivappa, Antonio Agudo, Anne Tjonneland, Lene Mellemkjær, Rudolf Kaaks, Verena A. Katzke, Matthias B. Schulze, Pauline Frenoy, Francesca Romana Mancini, Maria Santucci De Magistris, Alessandra Macciotta, Giovanna Masala, Claudia Agnoli, Rosario Tumino, Jolanda M.A. Boer, W.M.Monique Verschuren, Torill M. Enget Jensen, Karina Standahl Olsen, Guri Skeie, María-Dolores Chirlaque, Dafina Petrova, Carlota Castro-Espin, J. Ramón Quirós, Marcela Guevara, Pilar Amiano, Yan Borné, Maria Sandström, Lena Maria Nilsson, Alicia K. Heath, Ana-Lucia Mayen, Inge Huybrechts, Elisabete Weiderpass, Marie-Christine Boutron-Ruault, Laure Dossus, Sabina Rinaldi, and Thérèse Truong

Subjects
Dietary inflammatory scores, Inflammation, Näringslära, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Nutrition and Dietetics, Cohort, Public Health, Global Health, Social Medicine and Epidemiology, EPIC, Critical Care and Intensive Care Medicine, Biomarkers
Abstract

Background: Since the first version of the dietary inflammatory index (DII®) developed in the past decade, several other versions have been developed. However, to date no study has attempted to compare these versions with respect to their associations with biomarkers of inflammation. Objective: We aimed to investigate the relationship between four dietary inflammatory scores [DII, two energy-adjusted derivatives (E-DII and E-DIIr), and the Inflammatory Score of the Diet (ISD)], and circulating levels of several inflammatory markers and adipokines. Methods: This study included 17 637 participants from the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort with at least one marker of inflammation measured in blood. Associations between the four scores and C-reactive protein (CRP), interleukin (IL)6, IL10, IL1RA, tumor necrosis factor-α (TNFα), soluble tumor necrosis factor receptor-1 (sTNFR1), sTNFR2, leptin, soluble leptin receptor (sLeptin R), adiponectin, and High Molecular Weight (HMW) adiponectin were evaluated using multivariable linear regressions adjusted for potential confounders. Results: Positive associations were observed between the four dietary inflammatory scores and levels of CRP, IL6, sTNFR1, sTNFR2 and leptin. However, only the DII and the ISD were positively associated with IL1RA levels and only the DII and the E-DIIr were positively associated with TNFα levels. The proportion of variance of each biomarker explained by the scores was lower than 2%, which was equivalent to the variance explained by smoking status but much lower than that explained by body mass index. Conclusions: Our results suggest that the four dietary inflammatory scores were associated with some biomarkers of inflammation and could be used to assess the inflammatory potential of diet in European adults but are not sufficient to capture the inflammatory status of an individual. These findings can help to better understand the inflammatory potential of diet, but they need to be replicated in studies with repeated dietary measurements.

Published
2023

5. Mild-to-Moderate Kidney Dysfunction and Cardiovascular Disease: Observational and Mendelian Randomization Analyses

Author

Liam Gaziano, Luanluan Sun, Matthew Arnold, Steven Bell, Kelly Cho, Stephen K. Kaptoge, Rebecca J. Song, Stephen Burgess, Daniel C. Posner, Katja Mosconi, Cassianne Robinson-Cohen, Amy M. Mason, Thomas R. Bolton, Ran Tao, Elias Allara, Petra Schubert, Lingyan Chen, James R. Staley, Natalie Staplin, Servet Altay, Pilar Amiano, Volker Arndt, Johan Ärnlöv, Elizabeth L.M. Barr, Cecilia Björkelund, Jolanda M.A. Boer, Hermann Brenner, Edoardo Casiglia, Paolo Chiodini, Jackie A. Cooper, Josef Coresh, Mary Cushman, Rachel Dankner, Karina W. Davidson, Renate T. de Jongh, Chiara Donfrancesco, Gunnar Engström, Heinz Freisling, Agustín Gómez de la Cámara, Vilmundur Gudnason, Graeme J. Hankey, Per-Olof Hansson, Alicia K. Heath, Ewout J. Hoorn, Hironori Imano, Simerjot K. Jassal, Rudolf Kaaks, Verena Katzke, Jussi Kauhanen, Stefan Kiechl, Wolfgang Koenig, Richard A. Kronmal, Cecilie Kyrø, Deborah A. Lawlor, Börje Ljungberg, Conor MacDonald, Giovanna Masala, Christa Meisinger, Olle Melander, Conchi Moreno Iribas, Toshiharu Ninomiya, Dorothea Nitsch, Børge G. Nordestgaard, Charlotte Onland-Moret, Luigi Palmieri, Dafina Petrova, Jose Ramón Quirós Garcia, Annika Rosengren, Carlotta Sacerdote, Masaru Sakurai, Carmen Santiuste, Matthias B. Schulze, Sabina Sieri, Johan Sundström, Valérie Tikhonoff, Anne Tjønneland, Tammy Tong, Rosario Tumino, Ioanna Tzoulaki, Yvonne T. van der Schouw, W.M. Monique Verschuren, Henry Völzke, Robert B. Wallace, S. Goya Wannamethee, Elisabete Weiderpass, Peter Willeit, Mark Woodward, Kazumasa Yamagishi, Raul Zamora-Ros, Elvis A. Akwo, Saiju Pyarajan, David R. Gagnon, Philip S. Tsao, Sumitra Muralidhar, Todd L. Edwards, Scott M. Damrauer, Jacob Joseph, Lisa Pennells, Peter W.F. Wilson, Seamus Harrison, Thomas A. Gaziano, Michael Inouye, Colin Baigent, Juan P. Casas, Claudia Langenberg, Nick Wareham, Elio Riboli, J.Michael Gaziano, John Danesh, Adriana M. Hung, Adam S. Butterworth, Angela M. Wood, Emanuele Di Angelantonio, Anna Koettgen, Jonathan Shaw, Robert Atkins, Paul Zimmet, Peter Whincup, Johann Willeit, Christoph Leitner, Anne Tybjaerg-Hansen, Peter Schnohr, Shoaib Afzal, David Lora Pablos, Cristina Martin Arriscado, Carmen Romero Ferreiro, Hannah Stocker, Ben Schöttker, Bernd Holleczek, Angela Chetrit, Lennart Welin, Kurt Svärdsudd, Lauren Lissner, Dominique Hange, Kirsten Mehlig, Dorothea Nagel, Paul E. Norman, Osvaldo Almeida, Leon Flicker, Jun Hata, Takanori Honda, Yoshihiko Furuta, Hiroyasu Iso, Akihiko Kitamura, Isao Muraki, Jukka T. Salonen, Tomi-Pekka Tuomainen, E. M. van Zutphen, N. M. van Schoor, Cinzia Lo Noce, Richard Kronmal, Georg Lappas, Peter M. Nilsson, Bo Hedblad, Jonathan Shaffer, Joseph Schwartz, Daichi Shimbo, Shinichi Sato, Mina Hayama-Terada, Simerjot Jassal, Thor Aspelund, Bolli Thorsson, Gunnar Sigurdsson, Layal Chaker, Kamran M. Ikram, Maryam Kavousi, Hugh Tunstall-Pedoe, Günay Can, Hüsniye Yüksel, Uğur Özkan, Hideaki Nakagawa, Yuko Morikawa, Masao Ishizaki, Edith Feskens, Johanna M Geleijnse, Daan Kromhout, Internal Medicine, Neurology, Epidemiology, Bell, Steven [0000-0001-6774-3149], Posner, Daniel C [0000-0002-3056-6924], Mason, Amy M [0000-0002-8019-0777], Allara, Elias [0000-0002-1634-8330], Staplin, Natalie [0000-0003-4482-4418], Arndt, Volker [0000-0001-9320-8684], Ärnlöv, Johan [0000-0002-6933-4637], Barr, Elizabeth LM [0000-0003-4284-1716], Boer, Jolanda MA [0000-0002-9714-4304], Brenner, Hermann [0000-0002-6129-1572], Casiglia, Edoardo [0000-0002-0003-3289], Chiodini, Paolo [0000-0003-0139-2264], Coresh, Josef [0000-0002-4598-0669], Cushman, Mary [0000-0002-7871-6143], Davidson, Karina W [0000-0002-9162-477X], de Jongh, Renate T [0000-0001-8414-3938], Engström, Gunnar [0000-0002-8618-9152], de la Cámara, Agustín Gómez [0000-0001-6827-6319], Gudnason, Vilmundur [0000-0001-5696-0084], Hankey, Graeme J [0000-0002-6044-7328], Hansson, Per-Olof [0000-0001-6323-0506], Heath, Alicia K [0000-0001-6517-1300], Hoorn, Ewout J [0000-0002-8738-3571], Imano, Hironori [0000-0002-6661-4254], Katzke, Verena [0000-0002-6509-6555], Kiechl, Stefan [0000-0002-9836-2514], Koenig, Wolfgang [0000-0002-2064-9603], Kronmal, Richard A [0000-0002-9897-7076], Kyrø, Cecilie [0000-0002-9083-8960], Ljungberg, Börje [0000-0002-4121-3753], MacDonald, Conor [0000-0002-4989-803X], Masala, Giovanna [0000-0002-5758-9069], Ninomiya, Toshiharu [0000-0003-1345-9032], Nordestgaard, Børge G [0000-0002-1954-7220], Onland-Moret, Charlotte [0000-0002-2360-913X], Palmieri, Luigi [0000-0002-4298-2642], Rosengren, Annika [0000-0002-5409-6605], Schulze, Matthias B [0000-0002-0830-5277], Sieri, Sabina [0000-0001-5201-172X], Sundström, Johan [0000-0003-2247-8454], Tikhonoff, Valérie [0000-0001-7846-0101], Tong, Tammy [0000-0002-0284-8959], Tzoulaki, Ioanna [0000-0002-4275-9328], van der Schouw, Yvonne T [0000-0002-4605-435X], Wannamethee, S Goya [0000-0001-9484-9977], Weiderpass, Elisabete [0000-0003-2237-0128], Willeit, Peter [0000-0002-1866-7159], Woodward, Mark [0000-0001-9800-5296], Yamagishi, Kazumasa [0000-0003-3301-5519], Zamora-Ros, Raul [0000-0002-6236-6804], Gagnon, David R [0000-0002-6367-3179], Tsao, Philip S [0000-0001-7274-9318], Edwards, Todd L [0000-0003-4318-6119], Damrauer, Scott M [0000-0001-8009-1632], Joseph, Jacob [0000-0002-7279-4896], Pennells, Lisa [0000-0002-8594-3061], Gaziano, Thomas A [0000-0002-5985-345X], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nick [0000-0003-1422-2993], Hung, Adriana M [0000-0002-3203-1608], Butterworth, Adam S [0000-0002-6915-9015], Di Angelantonio, Emanuele [0000-0001-8776-6719], Apollo - University of Cambridge Repository, Gaziano, Liam, Sun, Luanluan, Arnold, Matthew, Bell, Steven, Cho, Kelly, Kaptoge, Stephen K, Song, Rebecca J, Burgess, Stephen, Posner, Daniel C, Mosconi, Katja, Robinson-Cohen, Cassianne, Mason, Amy M, Bolton, Thomas R, Tao, Ran, Allara, Elia, Schubert, Petra, Chen, Lingyan, Staley, James R, Staplin, Natalie, Altay, Servet, Amiano, Pilar, Arndt, Volker, Ärnlöv, Johan, Barr, Elizabeth L M, Björkelund, Cecilia, Boer, Jolanda M A, Brenner, Hermann, Casiglia, Edoardo, Chiodini, Paolo, Cooper, Jackie A, Coresh, Josef, Cushman, Mary, Dankner, Rachel, Davidson, Karina W, de Jongh, Renate T, Donfrancesco, Chiara, Engström, Gunnar, Freisling, Heinz, de la Cámara, Agustín Gómez, Gudnason, Vilmundur, Hankey, Graeme J, Hansson, Per-Olof, Heath, Alicia K, Hoorn, Ewout J, Imano, Hironori, Jassal, Simerjot K, Kaaks, Rudolf, Katzke, Verena, Kauhanen, Jussi, Kiechl, Stefan, Koenig, Wolfgang, Kronmal, Richard A, Kyrø, Cecilie, Lawlor, Deborah A, Ljungberg, Börje, Macdonald, Conor, Masala, Giovanna, Meisinger, Christa, Melander, Olle, Moreno Iribas, Conchi, Ninomiya, Toshiharu, Nitsch, Dorothea, Nordestgaard, Børge G, Onland-Moret, Charlotte, Palmieri, Luigi, Petrova, Dafina, Garcia, Jose Ramón Quiró, Rosengren, Annika, Sacerdote, Carlotta, Sakurai, Masaru, Santiuste, Carmen, Schulze, Matthias B, Sieri, Sabina, Sundström, Johan, Tikhonoff, Valérie, Tjønneland, Anne, Tong, Tammy, Tumino, Rosario, Tzoulaki, Ioanna, van der Schouw, Yvonne T, Monique Verschuren, W M, Völzke, Henry, Wallace, Robert B, Wannamethee, S Goya, Weiderpass, Elisabete, Willeit, Peter, Woodward, Mark, Yamagishi, Kazumasa, Zamora-Ros, Raul, Akwo, Elvis A, Pyarajan, Saiju, Gagnon, David R, Tsao, Philip S, Muralidhar, Sumitra, Edwards, Todd L, Damrauer, Scott M, Joseph, Jacob, Pennells, Lisa, Wilson, Peter W F, Harrison, Seamu, Gaziano, Thomas A, Inouye, Michael, Baigent, Colin, Casas, Juan P, Langenberg, Claudia, Wareham, Nick, Riboli, Elio, Gaziano, J Michael, Danesh, John, Hung, Adriana M, Butterworth, Adam S, Wood, Angela M, Di Angelantonio, Emanuele, Internal medicine, AMS - Ageing & Vitality, AMS - Musculoskeletal Health, Amsterdam Gastroenterology Endocrinology Metabolism, Epidemiology and Data Science, APH - Aging & Later Life, and APH - Personalized Medicine

Subjects
kidney disease, General Practice, Emerging Risk Factors Collaboration/EPIC-CVD/Million Veteran Program, Coronary Disease, coronary disease, Kidney, Malalties coronàries, 1117 Public Health and Health Services, Coronary diseases, SDG 3 - Good Health and Well-being, cardiovascular disease, Risk Factors, Physiology (medical), Diabetes Mellitus, Humans, Cardiac and Cardiovascular Systems, Prospective Studies, 1102 Cardiorespiratory Medicine and Haematology, Kardiologi, Kidney diseases, Malalties cardiovasculars, Cardiovascular Diseases, Kidney Diseases, Stroke, 1103 Clinical Sciences, Mendelian Randomization Analysis, kidney diseases, stroke, Allmänmedicin, Cardiovascular diseases, Cardiovascular System & Hematology, Malalties del ronyó, Cardiology and Cardiovascular Medicine, cardiovascular diseases
Abstract

Background: End-stage renal disease is associated with a high risk of cardiovascular events. It is unknown, however, whether mild-to-moderate kidney dysfunction is causally related to coronary heart disease (CHD) and stroke. Methods: Observational analyses were conducted using individual-level data from 4 population data sources (Emerging Risk Factors Collaboration, EPIC-CVD [European Prospective Investigation into Cancer and Nutrition–Cardiovascular Disease Study], Million Veteran Program, and UK Biobank), comprising 648 135 participants with no history of cardiovascular disease or diabetes at baseline, yielding 42 858 and 15 693 incident CHD and stroke events, respectively, during 6.8 million person-years of follow-up. Using a genetic risk score of 218 variants for estimated glomerular filtration rate (eGFR), we conducted Mendelian randomization analyses involving 413 718 participants (25 917 CHD and 8622 strokes) in EPIC-CVD, Million Veteran Program, and UK Biobank. Results: There were U-shaped observational associations of creatinine-based eGFR with CHD and stroke, with higher risk in participants with eGFR values 105 mL·min –1 ·1.73 m –2 , compared with those with eGFR between 60 and 105 mL·min –1 ·1.73 m –2 . Mendelian randomization analyses for CHD showed an association among participants with eGFR –1 ·1.73 m –2 , with a 14% (95% CI, 3%–27%) higher CHD risk per 5 mL·min –1 ·1.73 m –2 lower genetically predicted eGFR, but not for those with eGFR >105 mL·min –1 ·1.73 m –2 . Results were not materially different after adjustment for factors associated with the eGFR genetic risk score, such as lipoprotein(a), triglycerides, hemoglobin A1c, and blood pressure. Mendelian randomization results for stroke were nonsignificant but broadly similar to those for CHD. Conclusions: In people without manifest cardiovascular disease or diabetes, mild-to-moderate kidney dysfunction is causally related to risk of CHD, highlighting the potential value of preventive approaches that preserve and modulate kidney function.

Published
2022

6. Separating the effects of early and later life adiposity on colorectal cancer risk: a Mendelian randomization study

Author

Nikos Papadimitriou, Caroline J Bull, Mazda Jenab, David J. Hughes, Joshua A Bell, Eleanor Sanderson, Nicholas J Timpson, George Davey Smith, Demetrius Albanes, Peter T Campbell, Sébastien Küry, Loic Le Marchand, Cornelia M Ulrich, Kala Visvanathan, Jane C Figueiredo, Polly A Newcomb, Rish K Pai, Ulrike Peters, Kostas K Tsilidis, Jolanda M.A. Boer, Emma E Vincent, Daniela Mariosa, Marc J Gunter, Tom G Richardson, and Neil Murphy

Subjects
Adult, Pediatric Obesity, General Medicine, Middle Aged, Mendelian Randomization Analysis, Polymorphism, Single Nucleotide, Body Mass Index, Adiposity/genetics, Risk Factors, Colonic Neoplasms, Humans, Child, Bristol Population Health Science Institute, Adiposity, Genome-Wide Association Study
Abstract

Background Observational studies have linked childhood obesity with elevated risk of colorectal cancer; however, it is unclear if this association is causal or independent from the effects of obesity in adulthood on colorectal cancer risk. Methods We conducted Mendelian randomization (MR) analyses to investigate potential causal relationships between self-perceived body size (thinner, plumper, or about average) in early life (age 10) and measured body mass index in adulthood (mean age 56.5) with risk of colorectal cancer. The total and independent effects of body size exposures were estimated using univariable and multivariable MR, respectively. Summary data were obtained from a genome-wide association study of 453,169 participants in UK Biobank for body size and from a genome-wide association study meta-analysis of three colorectal cancer consortia of 125,478 participants. Results Genetically predicted early life body size was estimated to increase odds of colorectal cancer (odds ratio [OR] per category change: 1.12, 95% confidence interval [CI]: 0.98–1.27), with stronger results for colon cancer (OR: 1.16, 95% CI: 1.00–1.35), and distal colon cancer (OR: 1.25, 95% CI: 1.04–1.51). After accounting for adult body size using multivariable MR, effect estimates for early life body size were attenuated towards the null for colorectal cancer (OR: 0.97, 95% CI: 0.77–1.22) and colon cancer (OR: 0.97, 95% CI: 0.76–1.25), while the estimate for distal colon cancer was of similar magnitude but more imprecise (OR: 1.27, 95% CI: 0.90–1.77). Genetically predicted adult life body size was estimated to increase odds of colorectal (OR: 1.27, 95% CI: 1.03, 1.57), colon (OR: 1.32, 95% CI: 1.05, 1.67), and proximal colon (OR: 1.57, 95% CI: 1.21, 2.05). Conclusions Our findings suggest that the positive association between early life body size and colorectal cancer risk is likely due to large body size retainment into adulthood.

Published
2022

7. Risk thresholds for alcohol consumption: combined analysis of individual-participant data for 599 912 current drinkers in 83 prospective studies

Author

Angela M Wood, Stephen Kaptoge, Adam S Butterworth, Peter Willeit, Samantha Warnakula, Thomas Bolton, Ellie Paige, Dirk S Paul, Michael Sweeting, Stephen Burgess, Steven Bell, William Astle, David Stevens, Albert Koulman, Randi M Selmer, W M Monique Verschuren, Shinichi Sato, Inger Njølstad, Mark Woodward, Veikko Salomaa, Børge G Nordestgaard, Bu B Yeap, Astrid Fletcher, Olle Melander, Lewis H Kuller, Beverley Balkau, Michael Marmot, Wolfgang Koenig, Edoardo Casiglia, Cyrus Cooper, Volker Arndt, Oscar H Franco, Patrik Wennberg, John Gallacher, Agustín Gómez de la Cámara, Henry Völzke, Christina C Dahm, Caroline E Dale, Manuela M Bergmann, Carlos J Crespo, Yvonne T van der Schouw, Rudolf Kaaks, Leon A Simons, Pagona Lagiou, Josje D Schoufour, Jolanda M A Boer, Timothy J Key, Beatriz Rodriguez, Conchi Moreno-Iribas, Karina W Davidson, James O Taylor, Carlotta Sacerdote, Robert B Wallace, J Ramon Quiros, Rosario Tumino, Dan G Blazer, Allan Linneberg, Makoto Daimon, Salvatore Panico, Barbara Howard, Guri Skeie, Timo Strandberg, Elisabete Weiderpass, Paul J Nietert, Bruce M Psaty, Daan Kromhout, Elena Salamanca-Fernandez, Stefan Kiechl, Harlan M Krumholz, Sara Grioni, Domenico Palli, José M Huerta, Jackie Price, Johan Sundström, Larraitz Arriola, Hisatomi Arima, Ruth C Travis, Demosthenes B Panagiotakos, Anna Karakatsani, Antonia Trichopoulou, Tilman Kühn, Diederick E Grobbee, Elizabeth Barrett-Connor, Natasja van Schoor, Heiner Boeing, Kim Overvad, Jussi Kauhanen, Nick Wareham, Claudia Langenberg, Nita Forouhi, Maria Wennberg, Jean-Pierre Després, Mary Cushman, Jackie A Cooper, Carlos J Rodriguez, Masaru Sakurai, Jonathan E Shaw, Matthew Knuiman, Trudy Voortman, Christa Meisinger, Anne Tjønneland, Hermann Brenner, Luigi Palmieri, Jean Dallongeville, Eric J Brunner, Gerd Assmann, Maurizio Trevisan, Richard F Gillum, Ian Ford, Naveed Sattar, Mariana Lazo, Simon G Thompson, Pietro Ferrari, David A Leon, George Davey Smith, Richard Peto, Rod Jackson, Emily Banks, Emanuele Di Angelantonio, John Danesh, Adam Butterworth, Monique Verschuren, Salomaa Veikko, Astrid Flecther, Manuela Bergmann, Carlos Crespo, Jolanda M.A Boer, J. Ramon Quiros, Eric B Rimm, Dan G Blazer III, Jean-Pierre Dallongeville, Richard F Gillumn, Ian Ford Ford, Simon Thompson, Epidemiology, Wood, Angela M, Kaptoge, Stephen, Butterworth, Adam S, Willeit, Peter, Warnakula, Samantha, Bolton, Thoma, Paige, Ellie, Paul, Dirk S, Sweeting, Michael, Burgess, Stephen, Bell, Steven, Astle, William, Stevens, David, Koulman, Albert, Selmer, Randi M, Verschuren, W M Monique, Sato, Shinichi, Njølstad, Inger, Woodward, Mark, Salomaa, Veikko, Nordestgaard, Børge G, Yeap, Bu B, Fletcher, Astrid, Melander, Olle, Kuller, Lewis H, Balkau, Beverley, Marmot, Michael, Koenig, Wolfgang, Casiglia, Edoardo, Cooper, Cyru, Arndt, Volker, Franco, Oscar H, Wennberg, Patrik, Gallacher, John, de la Cámara, Agustín Gómez, Völzke, Henry, Dahm, Christina C, Dale, Caroline E, Bergmann, Manuela M, Crespo, Carlos J, van der Schouw, Yvonne T, Kaaks, Rudolf, Simons, Leon A, Lagiou, Pagona, Schoufour, Josje D, Boer, Jolanda M A, Key, Timothy J, Rodriguez, Beatriz, Moreno-Iribas, Conchi, Davidson, Karina W, Taylor, James O, Sacerdote, Carlotta, Wallace, Robert B, Quiros, J Ramon, Tumino, Rosario, Blazer, Dan G, Linneberg, Allan, Daimon, Makoto, Panico, Salvatore, Howard, Barbara, Skeie, Guri, Strandberg, Timo, Weiderpass, Elisabete, Nietert, Paul J, Psaty, Bruce M, Kromhout, Daan, Salamanca-Fernandez, Elena, Kiechl, Stefan, Krumholz, Harlan M, Grioni, Sara, Palli, Domenico, Huerta, José M, Price, Jackie, Sundström, Johan, Arriola, Larraitz, Arima, Hisatomi, Travis, Ruth C, Panagiotakos, Demosthenes B, Karakatsani, Anna, Trichopoulou, Antonia, Kühn, Tilman, Grobbee, Diederick E, Barrett-Connor, Elizabeth, van Schoor, Natasja, Boeing, Heiner, Overvad, Kim, Kauhanen, Jussi, Wareham, Nick, Langenberg, Claudia, Forouhi, Nita, Wennberg, Maria, Després, Jean-Pierre, Cushman, Mary, Cooper, Jackie A, Rodriguez, Carlos J, Sakurai, Masaru, Shaw, Jonathan E, Knuiman, Matthew, Voortman, Trudy, Meisinger, Christa, Tjønneland, Anne, Brenner, Hermann, Palmieri, Luigi, Dallongeville, Jean, Brunner, Eric J, Assmann, Gerd, Trevisan, Maurizio, Gillum, Richard F, Ford, Ian, Sattar, Naveed, Lazo, Mariana, Thompson, Simon G, Ferrari, Pietro, Leon, David A, Smith, George Davey, Peto, Richard, Jackson, Rod, Banks, Emily, Di Angelantonio, Emanuele, Danesh, John, Timo Strandberg / Principal Investigator, Department of Medicine, Clinicum, HUS Internal Medicine and Rehabilitation, APH - Personalized Medicine, APH - Aging & Later Life, and Epidemiology and Data Science

Subjects
Male, FLOATING ABSOLUTE RISK, Alcohol abuse, BLOOD-PRESSURE, 030204 cardiovascular system & hematology, Alcohol Drinking/adverse effects, 0302 clinical medicine, Cardiovascular Disease, Prospective Studies, 030212 general & internal medicine, Myocardial infarction, Prospective cohort study, Human Nutrition & Health, media_common, Medicine(all), VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin, sosialmedisin: 801, Research Support, Non-U.S. Gov't, Humane Voeding & Gezondheid, Hazard ratio, Substance Abuse, Public Health, Global Health, Social Medicine and Epidemiology, ASSOCIATION, General Medicine, Middle Aged, ddc, 3. Good health, Substance abuse, Cardiovascular Diseases, CARDIOVASCULAR-DISEASE, MENDELIAN RANDOMIZATION, Female, Risk assessment, STROKE, Human, Alcohol Drinking, Lower risk, Article, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Research Support, N.I.H., Extramural, US ADULTS, medicine, Journal Article, Life Science, Humans, media_common.cataloged_instance, CORONARY-HEART-DISEASE, ddc:610, Cardiovascular Diseases/etiology, European union, Beroendelära, METAANALYSIS, business.industry, MORTALITY, medicine.disease, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, 3121 General medicine, internal medicine and other clinical medicine, VDP::Medical disciplines: 700::Health sciences: 800::Community medicine, Social medicine: 801, business, Demography
Abstract

BACKGROUND: Low-risk limits recommended for alcohol consumption vary substantially across different national guidelines. To define thresholds associated with lowest risk for all-cause mortality and cardiovascular disease, we studied individual-participant data from 599 912 current drinkers without previous cardiovascular disease.METHODS: We did a combined analysis of individual-participant data from three large-scale data sources in 19 high-income countries (the Emerging Risk Factors Collaboration, EPIC-CVD, and the UK Biobank). We characterised dose–response associations and calculated hazard ratios (HRs) per 100 g per week of alcohol (12·5 units per week) across 83 prospective studies, adjusting at least for study or centre, age, sex, smoking, and diabetes. To be eligible for the analysis, participants had to have information recorded about their alcohol consumption amount and status (ie, non-drinker vs current drinker), plus age, sex, history of diabetes and smoking status, at least 1 year of follow-up after baseline, and no baseline history of cardiovascular disease. The main analyses focused on current drinkers, whose baseline alcohol consumption was categorised into eight predefined groups according to the amount in grams consumed per week. We assessed alcohol consumption in relation to all-cause mortality, total cardiovascular disease, and several cardiovascular disease subtypes. We corrected HRs for estimated long-term variability in alcohol consumption using 152 640 serial alcohol assessments obtained some years apart (median interval 5·6 years [5th–95th percentile 1·04–13·5]) from 71 011 participants from 37 studies.FINDINGS: In the 599 912 current drinkers included in the analysis, we recorded 40 310 deaths and 39 018 incident cardiovascular disease events during 5·4 million person-years of follow-up. For all-cause mortality, we recorded a positive and curvilinear association with the level of alcohol consumption, with the minimum mortality risk around or below 100 g per week. Alcohol consumption was roughly linearly associated with a higher risk of stroke (HR per 100 g per week higher consumption 1·14, 95% CI, 1·10–1·17), coronary disease excluding myocardial infarction (1·06, 1·00–1·11), heart failure (1·09, 1·03–1·15), fatal hypertensive disease (1·24, 1·15–1·33); and fatal aortic aneurysm (1·15, 1·03–1·28). By contrast, increased alcohol consumption was log-linearly associated with a lower risk of myocardial infarction (HR 0·94, 0·91–0·97). In comparison to those who reported drinking >0–≤100 g per week, those who reported drinking >100–≤200 g per week, >200–≤350 g per week, or >350 g per week had lower life expectancy at age 40 years of approximately 6 months, 1–2 years, or 4–5 years, respectively.INTERPRETATION: In current drinkers of alcohol in high-income countries, the threshold for lowest risk of all-cause mortality was about 100 g/week. For cardiovascular disease subtypes other than myocardial infarction, there were no clear risk thresholds below which lower alcohol consumption stopped being associated with lower disease risk. These data support limits for alcohol consumption that are lower than those recommended in most current guidelines.FUNDING: UK Medical Research Council, British Heart Foundation, National Institute for Health Research, European Union Framework 7, and European Research Council.

Published
2018

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