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1. Dyslipidemia, inflammation, calcification, and adiposity in aortic stenosis: a genome-wide study

Author

Yu Chen, Hao, Dina, Christian, Small, Aeron M, Shaffer, Christian M, Levinson, Rebecca T, Helgadóttir, Anna, Capoulade, Romain, Munter, Hans Markus, Martinsson, Andreas, Cairns, Benjamin J, Trudsø, Linea C, Hoekstra, Mary, Burr, Hannah A, Marsh, Thomas W, Damrauer, Scott M, Dufresne, Line, Le Scouarnec, Solena, Messika-Zeitoun, David, Ranatunga, Dilrini K, Whitmer, Rachel A, Bonnefond, Amélie, Sveinbjornsson, Garðar, Daníelsen, Ragnar, Arnar, David O, Thorgeirsson, Gudmundur, Thorsteinsdottir, Unnur, Gudbjartsson, Daníel F, Hólm, Hilma, Ghouse, Jonas, Olesen, Morten Salling, Christensen, Alex H, Mikkelsen, Susan, Jacobsen, Rikke Louise, Dowsett, Joseph, Pedersen, Ole Birger Vesterager, Erikstrup, Christian, Ostrowski, Sisse R, Regeneron Genetics Center, O'Donnell, Christopher J, Budoff, Matthew J, Gudnason, Vilmundur, Post, Wendy S, Rotter, Jerome I, Lathrop, Mark, Bundgaard, Henning, Johansson, Bengt, Ljungberg, Johan, Näslund, Ulf, Le Tourneau, Thierry, Smith, J Gustav, Wells, Quinn S, Söderberg, Stefan, Stefánsson, Kári, Schott, Jean-Jacques, Rader, Daniel J, Clarke, Robert, Engert, James C, and Thanassoulis, George

Subjects
Genome-wide association study, Phenome-wide association study, Clinical Sciences, Cardiorespiratory Medicine and Haematology, Cardiovascular, Risk Factors, Mendelian randomization, Genetics, Humans, 2.1 Biological and endogenous factors, Genetic Predisposition to Disease, Obesity, Polymorphism, Aetiology, Adiposity, Dyslipidemias, Inflammation, Aortic stenosis, Prevention, Human Genome, Aortic Valve Stenosis, Single Nucleotide, Mendelian Randomization Analysis, Regeneron Genetics Center, Genetic risk score, Apolipoproteins, Heart Disease, Cardiovascular System & Hematology, Gene expression, Genome-Wide Association Study
Abstract

AimsAlthough highly heritable, the genetic etiology of calcific aortic stenosis (AS) remains incompletely understood. The aim of this study was to discover novel genetic contributors to AS and to integrate functional, expression, and cross-phenotype data to identify mechanisms of AS.Methods and resultsA genome-wide meta-analysis of 11.6 million variants in 10 cohorts involving 653 867 European ancestry participants (13 765 cases) was performed. Seventeen loci were associated with AS at P ≤ 5 × 10-8, of which 15 replicated in an independent cohort of 90 828 participants (7111 cases), including CELSR2-SORT1, NLRP6, and SMC2. A genetic risk score comprised of the index variants was associated with AS [odds ratio (OR) per standard deviation, 1.31; 95% confidence interval (CI), 1.26-1.35; P = 2.7 × 10-51] and aortic valve calcium (OR per standard deviation, 1.22; 95% CI, 1.08-1.37; P = 1.4 × 10-3), after adjustment for known risk factors. A phenome-wide association study indicated multiple associations with coronary artery disease, apolipoprotein B, and triglycerides. Mendelian randomization supported a causal role for apolipoprotein B-containing lipoprotein particles in AS (OR per g/L of apolipoprotein B, 3.85; 95% CI, 2.90-5.12; P = 2.1 × 10-20) and replicated previous findings of causality for lipoprotein(a) (OR per natural logarithm, 1.20; 95% CI, 1.17-1.23; P = 4.8 × 10-73) and body mass index (OR per kg/m2, 1.07; 95% CI, 1.05-1.9; P = 1.9 × 10-12). Colocalization analyses using the GTEx database identified a role for differential expression of the genes LPA, SORT1, ACTR2, NOTCH4, IL6R, and FADS.ConclusionDyslipidemia, inflammation, calcification, and adiposity play important roles in the etiology of AS, implicating novel treatments and prevention strategies.

Published
2023

2. Diabetes and heart failure associations in women and men: Results from the MORGAM consortium

Author

Chadalavada, Sucharitha, Reinikainen, Jaakko, Andersson, Jonas, Di Castelnuovo, Augusto, Iacoviello, Licia, Jousilahti, Pekka, Kårhus, Line Lund, Linneberg, Allan, Söderberg, Stefan, Tunstall-Pedoe, Hugh, Lekadir, Karim, Aung, Nay, Jensen, Magnus T., Kuulasmaa, Kari, Niiranen, Teemu J., and Petersen, Steffen E.

Subjects
MORGAM, sex differences, diabetes, Endokrinologi och diabetes, heart failure, epidemiology, Endocrinology and Diabetes, Cardiology and Cardiovascular Medicine
Abstract

BackgroundDiabetes and its cardiovascular complications are a growing concern worldwide. Recently, some studies have demonstrated that relative risk of heart failure (HF) is higher in women with type 1 diabetes (T1DM) than in men. This study aims to validate these findings in cohorts representing five countries across Europe.MethodsThis study includes 88,559 (51.8% women) participants, 3,281 (46.3% women) of whom had diabetes at baseline. Survival analysis was performed with the outcomes of interest being death and HF with a follow-up time of 12 years. Sub-group analysis according to sex and type of diabetes was also performed for the HF outcome.Results6,460 deaths were recorded, of which 567 were amongst those with diabetes. Additionally, HF was diagnosed in 2,772 individuals (446 with diabetes). A multivariable Cox proportional hazard analysis showed that there was an increased risk of death and HF (hazard ratio (HR) of 1.73 [1.58–1.89] and 2.12 [1.91–2.36], respectively) when comparing those with diabetes and those without. The HR for HF was 6.72 [2.75–16.41] for women with T1DM vs. 5.80 [2.72–12.37] for men with T1DM, but the interaction term for sex differences was insignificant (p for interaction 0.45). There was no significant difference in the relative risk of HF between men and women when both types of diabetes were combined (HR 2.22 [1.93–2.54] vs. 1.99 [1.67–2.38] respectively, p for interaction 0.80).ConclusionDiabetes is associated with increased risks of death and heart failure, and there was no difference in relative risk according to sex.

Published
2023

3. GWAS Summary Statistics from a Global Meta-Analysis of Aortic Stenosis

Author

Chen, Hao Yu, PhD, Dina, Christian, PhD, Small, Aeron M., MD, Shaffer, Christian M., Levinson, Rebecca T., PhD, Helgadóttir, Anna, MD, PhD, Capoulade, Romain, PhD, Munter, Hans Markus, PhD, Martinsson, Andreas, MD, Cairns, Benjamin J., PhD, Trudsø, Linea C., Hoekstra, Mary, Burr, Hannah A., Marsh, Thomas W., Damrauer, Scott M., MD, Dufresne, Line, Scouarnec, Solena Le, PhD, Messika-Zeitoun, David, MD, PhD, Ranatunga, Dilrini K., Whitmer, Rachel A., PhD, Bonnefond, Amélie, PhD, Sveinbjornsson, Garðar, Daníelsen, Ragnar, MD, PhD, Arnar, David O., MD, PhD, Thorgeirsson, Gudmundur, MD, PhD, Thorsteinsdottir, Unnur, PhD, Gudbjartsson, Daníel F., PhD, Hólm, Hilma, MD, Ghouse, Jonas, MD, Olesen, Morten Salling, PhD, Christensen, Alex H., MD, Mikkelsen, Susan, MD, Jacobsen, Rikke Louise, Dowsett, Joseph, Pedersen, Ole Birger Vesterager, MD, Erikstrup, Christian, MD, Ostrowski, Sisse R., Regeneron Genetics Center, O'Donnell, Christopher J., MD, Budoff, Matthew J., MD, Gudnason, Vilmundur, MD, Post, Wendy S., MD, Rotter, Jerome I., MD, Lathrop, Mark, PhD, Bundgaard, Henning, Johansson, Bengt, MD, PhD, Ljungberg, Johan, MD, PhD, Näslund, Ulf, MD, PhD, Tourneau, Thierry Le, MD, PhD, Smith, J. Gustav, MD, Wells, Quinn S., MD, Söderberg, Stefan, MD, PhD, Stefánsson, Kári, MD, PhD, Schott, Jean-Jacques, PhD, Rader, Daniel J., MD, Clarke, Robert, MD, Engert, James C., PhD, and Thanassoulis, George

Abstract

GWAS Summary Statistics for a Global Meta-Analysis of Aortic Stenosis in the TARGET Consortium 10.5281/zenodo.7630002 This dataset contains the genome-wide association summary statistics for a Global Meta-Analysis of Aortic Stenosis. For the analysis description and included cohorts, please see Chen et al., the European Heart Journal (2023). The data are provided on an "AS-IS" basis, without warranty of any type, expressed or implied, including but not limited to any warranty as to their performance, merchantability, or fitness for any particular purpose. If investigators use these data, any and all consequences are entirely their responsibility. By downloading and using these data, you agree that you will cite the appropriate publication in any communications or publications arising directly or indirectly from these data. When using this data, please cite the paper and this repository: Chenet al., GWAS Summary Statistics for a Global Meta-Analysis of Aortic Stenosis,the European Heart Journal (2023). Zenodo.10.5281/zenodo.7630002 Column headers: CHR: Chromosome code. Not present with 'no-map' modifier. BP: Base-pair coordinate. Not present with 'no-map' modifier. SNP: Variant identifier A1: Effect Allele A2: Other Allele N_cohort: Number of valid studies for variant P: Fixed-effects meta-analysis p-value P.R.: Random-effects meta-analysis p-value OR: Fixed-effects BETA/OR estimate OR.R.:  Random-effects BETA/OR estimate Q: p-value for Cochran's Q statistic I: I2 heterogeneity index (0-100 scale) N_ind: Number of individuals Fundings: Fundings for this study were obtained from the following (listed in alphabetical order): ALFEDIAM Ardix Medical Assistance Publique - Hôpitaux de Paris Association Diabète Risque Vasculaire Bayer Diagnostics Becton Dickinson British Heart Foundation British Heart Foundation Oxford Centre Canadian Institutes for Health Research Capital Regions Research Council Cardionics, Merck Santé, Novo Nordisk CNAMTS, Lilly, Novartis Pharma Cohortes Santé TGIR County Council of Västerbotten Crafoord Foundation Ellison Medical Foundation European Research Council Fédération Française de Cardiologie Fédération Française de Cardiologie, a Fondation Coeur et Recherche Fonds de Recherche du Québec - Santé. French Regional Council of Pays-de-la-Loire (VaCaRMe program) Heart and Stroke Foundation of Canada Heart Foundation of Northern Sweden. Kaiser Permanente Knut and Alice Wallenberg foundation to the Wallenberg Center La Fondation de France Medical Research Council and the University of Oxford National Center for Advancing Translational Sciences (CTSI) National Heart, Lung, and Blood Institute (NHLBI) National Institute of Diabetes and Digestive and Kidney Disease Diabetes Research Center (DRC) National Institutes of Health Novo Nordisk Foundation ONIVINS Robert Wood Johnson Foundation Sanofi-Aventis; by INSERM (Réseaux en Santé Publique, Interactions entre les déterminants de la santé) Skåne University Hospital Société francophone du diabète Swedish Foundation for Strategic Research Swedish Heart–Lung Foundation Swedish National Health Service Swedish Research Council The Innovation Fund Denmark Umeå University U.S. Department of Veteran Affairs Vanderbilt University Medical Center’s institutional funding Wayne and Gladys Valley Foundation &nbsp

Published
2023
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4. Concurrent validity of the International Physical Activity Questionnaire adapted for adults aged ≥ 80 years (IPAQ-E 80 +) - tested with accelerometer data from the SilverMONICA study

Author

Gustafson Yngve, Niklasson Johan, Conradsson Mia, Littbrand Håkan, Toots Annika, Werneke Ursula, Söderberg Stefan, Hörnsten Carl, Wennberg Patrik, Olofsson Birgitta, Dahlin Almevall Albin, and Öhlin Jerry

Subjects
Male, medicine.medical_specialty, Population, Concurrent validity, Geriatrik, Biophysics, Physical activity, Sitting, Validity, Surveys and Questionnaires, Accelerometry, medicine, Humans, Orthopedics and Sports Medicine, Accelerometer data, Sjukgymnastik, education, Physiotherapy, Exercise, education.field_of_study, business.industry, Rehabilitation, Reproducibility of Results, Mean age, Public Health, Global Health, Social Medicine and Epidemiology, Sedentary behavior, Very old people, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Active time, Geriatrics, Physical therapy, Female, Sedentary Behavior, business, Physical activity questionnaire
Abstract

Background: Physical activity and sedentary behavior vary across the life span, and in very old people activity behavior can vary considerably over 24 h. A physical activity questionnaire adapted for this age group is lacking. This study was conducted to validate such a newly developed questionnaire suitable for use in very old people. Research question: Is the International Physical Activity Questionnaire adapted for adults aged ≥ 80 years (IPAQ-E 80 +) a valid measure of physical activity in very old people? Methods: Seventy-six participants (55.3% women) with a mean age of 84.4 ± 3.8 years wore accelerometers for ≥ 5 consecutive days, and completed the IPAQ-E 80 +. Spearman's rho and Bland-Altman plots were used to analyze the validity of IPAQ-E 80 + against accelerometer measures. Analyses were conducted for the separate items sitting, laying down at daytime and nighttime, walking, moderate to vigorous (MV) walking, and moderate to vigorous physical activity (MVPA), and the summary measures: total inactive time, sedentary time (i.e. lying down at daytime + sitting), total active time, and total MVPA + MV walking. Results: The IPAQ-E 80 + correlated with the accelerometer measures of total inactive- (r = 0.55, p < 0.001), sedentary- (r = 0.28, p = 0.015), walking- (r = 0.54 p < 0.001) and total active- (r = 0.60, p < 0.001) times, but not with measures of intensity of walking or physical activity; MV walking (r = 0.06, p = 0.58), MVPA (r = 0.17, p = 0.13). Significance: In this study the IPAQ-E 80 + showed fair to substantial correlations with accelerometers, and it therefore seems able to rank very old people according to levels of PA (total inactive-, sedentary-, and total active time, and walking time). The IPAQ-E 80 + seems promising for use in studies investigating associations between activity behavior and health in this population. Further investigation is needed to determine whether the IPAQ-E 80 + can accurately measure PA intensity. Originally included in thesis in manuscript form.

Published
2021

7. sj-pdf-1-pul-10.1177_20458940211046831 - Supplemental material for Dyspnea after pulmonary embolism: a nation-wide population-based case–control study

Author

Nilsson, Lars T., Andersson, Therese, Larsen, Flemming, Lang, Irene M., Liv, Per, and Söderberg, Stefan

Subjects
110203 Respiratory Diseases, FOS: Clinical medicine, Cardiology
Abstract

Supplemental material, sj-pdf-1-pul-10.1177_20458940211046831 for Dyspnea after pulmonary embolism: a nation-wide population-based case–control study by Lars T. Nilsson, Therese Andersson, Flemming Larsen, Irene M. Lang, Per Liv and Stefan Söderberg in Pulmonary Circulation

Published
2021
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9. sj-pdf-1-pul-10.1177_20458940211046831 - Supplemental material for Dyspnea after pulmonary embolism: a nation-wide population-based case–control study

Author

Nilsson, Lars T., Andersson, Therese, Larsen, Flemming, Lang, Irene M., Liv, Per, and Söderberg, Stefan

Subjects
110203 Respiratory Diseases, FOS: Clinical medicine, Cardiology
Abstract

Supplemental material, sj-pdf-1-pul-10.1177_20458940211046831 for Dyspnea after pulmonary embolism: a nation-wide population-based case–control study by Lars T. Nilsson, Therese Andersson, Flemming Larsen, Irene M. Lang, Per Liv and Stefan Söderberg in Pulmonary Circulation

Published
2021
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10. Additional file 1 of Diabetes status-related differences in risk factors and mediators of heart failure in the general population: results from the MORGAM/BiomarCaRE consortium

Author

Vuori, Matti A., Reinikainen, Jaakko, Söderberg, Stefan, Bergdahl, Ellinor, Jousilahti, Pekka, Tunstall-Pedoe, Hugh, Zeller, Tanja, Westermann, Dirk, Sans, Susana, Linneberg, Allan, Iacoviello, Licia, Costanzo, Simona, Salomaa, Veikko, Blankenberg, Stefan, Kuulasmaa, Kari, and Niiranen, Teemu J.

Abstract

Additional file 1: Table S1. a Sources of HF and diabetes diagnoses. Diabetes includes all subtypes. b Detailed definitions for HF and diabetes diagnoses at baseline and for HF also during follow-up and the respective ICD codes used. Diabetes includes all subtypes. Table S2. Risk table for Figure 3. Table S3. Correlation matrix for all biomarkers and covariates used in analyses.

Published
2021
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15. sj-pdf-1-pul-10.1177_2045894020958557 - Supplemental material for Poor outcome of patients with pulmonary arterial hypertension with insufficient response to phosphodiesterase-5 inhibitors alone or in combination with other specific therapy: a registry-based study

Author

Hjalmarsson, Clara, Butler, Oisin, Hesselstrand, Roger, Holl, Katsiaryna, Jansson, Kjell, Klok, Rogier, Rådegran, Göran, Söderberg, Stefan, and Kjellström, Barbro

Subjects
110203 Respiratory Diseases, FOS: Clinical medicine, Cardiology
Abstract

Supplemental material, sj-pdf-1-pul-10.1177_2045894020958557 for Poor outcome of patients with pulmonary arterial hypertension with insufficient response to phosphodiesterase-5 inhibitors alone or in combination with other specific therapy: a registry-based study by Clara Hjalmarsson, Oisin Butler, Roger Hesselstrand, Katsiaryna Holl, Kjell Jansson, Rogier Klok, Göran Rådegran, Stefan Söderberg and Barbro Kjellström in Pulmonary Circulation

Published
2020
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17. Additional file 1 of Contribution of cystatin C- and creatinine-based definitions of chronic kidney disease to cardiovascular risk assessment in 20 population-based and 3 disease cohorts: the BiomarCaRE project

Author

Rothenbacher, Dietrich, Rehm, Martin, Iacoviello, Licia, Costanzo, Simona, Tunstall-Pedoe, Hugh, Belch, Jill J. F., Söderberg, Stefan, Hultdin, Johan, Salomaa, Veikko, Jousilahti, Pekka, Linneberg, Allan, Sans, Susana, Padró, Teresa, Thorand, Barbara, Meisinger, Christa, Kee, Frank, McKnight, Amy Jayne, Palosaari, Tarja, Kuulasmaa, Kari, Waldeyer, Christoph, Zeller, Tanja, Blankenberg, Stefan, and Koenig, Wolfgang

Abstract

Additional file 1: The Additional file 1 contains additional descriptive and analysis results and information about the included studies. Table S1. List of included population-based and disease-cohorts. Table S2. Main baseline characteristics of population-based and disease-cohorts included. Table S3. Renal function at baseline of population-based and disease-cohorts included. Figure S1. Distribution of the estimated glomerular filtration rate (eGFR) based on creatinine and cystatin C in the population based cohorts. Figure S2. Distribution of the estimated glomerular filtration rate (eGFR) based on creatinine and cystatin C in the disease cohorts. Table S4. Association of CKD with various endpoints (HR and 95% CI) including area-under the curve (AUC with 95% CI) and net-reclassification index (NRI with 95% CI) in population-based cohorts. Table S5. Association of CKD with various endpoints (HR and 95% CI) including area-under the curve (AUC with 95% CI) and net-reclassification index (NRI with 95% CI) in disease cohorts. Table S6. Agreement of reclassification by the CKD-EPIcysC based definition compared to CKD-EPIcrea based definition in the population-based cohorts (Panel A) and in the disease cohorts (Panel B). Figure S7. Spline regression representing creatinine (left side) and cystatin C (right side) based eGFR associated with hazard ratio’s (HR) for mortality after adjustment for SCORE-variables and study center for all and after stratification for age in the disease cohorts. Box S1. Further Description of Study Cohorts.

Published
2020
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19. Cardiac Troponin I and Incident Stroke in European Cohorts

Author

Camen, Stephan, Palosaari, Tarja, Reinikainen, Jaakko, Sprünker, Ngoc Anh, Niiranen, Teemu, Gianfagna, Francesco, Vishram-Nielsen, Julie K.K., Costanzo, Simona, Söderberg, Stefan, Palmieri, Luigi, Ferrario, Marco, Peters, Annette, Vartiainen, Erkki, Donati, Maria Benedetta, Donfrancesco, Chiara, Borchini, Rossana, Börschel, Christin Susanna, Giampaoli, Simona, Di Castelnuovo, Augusto, Magnussen, Christina, Kee, Frank, Koenig, Wolfgang, Blankenberg, Stefan, de Gaetano, Giovanni, Tunstall-Pedoe, Hugh, Rospleszcz, Susanne, Jørgensen, Torben, Zeller, Tanja, Kuulasmaa, Kari, Linneberg, Allan, Salomaa, Veikko, Iacoviello, Licia, and Schnabel, Renate B.

Subjects
ddc
Published
2019

20. The NEWA Mesoscale Wind Atlas: production and ensemble runs

Author

Witha, Björn, Hahmann, Andrea, Sile, Tija, Barcons, Jordi, Davis, Neil, Dörenkämper, Martin, Ezber, Yasemin, García-Bustamante, Elena, González-Rouco, Fidel, Leroy, Grégoire, Navarro, Jorge, Olsen, Bjarke Tobias, Sastre, Mariano, Söderberg, Stefan, and Trei, Wilke

Subjects
13. Climate action, wind atlas, WRF, ensemble, mesoscale, 7. Clean energy
Abstract

A central part of the New European Wind Atlas (NEWA) is the generation of a mesoscale wind atlas which is based on 30 years of simulations with the WRF (Weather Research and Forecast) model. The atlas will cover all EU countries (plus Norway, Switzerland, the Balkans and Turkey) and associated offshore areas up to 100 km off the coast including the complete North and Baltic Seas. The first part of the presentation gives an overview of the work that was done to prepare the mesoscale wind atlas production runs. To arrive at a final model configuration for the production run, a large ensemble of nearly 50 WRF simulations with different model setups was performed. The parameters tested in the ensemble members include, among others: model version, atmospheric and sea surface temperature input, land surface model as well as surface and PBL parameterisations. Information from the ensemble runs will also be used to provide uncertainty information to the wind atlas. After presenting the final setup of the production runs, some information is given about the management of the production runs, which were performed on the Tier-0 supercomputer MareNostrum. Finally, results from the production runs are shown.

Published
2019
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21. dvdres-dec-2017-00190-Supplementary_File – Supplemental material for Elevated levels of insulin-like growth factor-binding protein 1 predict outcome after acute myocardial infarction: A long-term follow-up of the glucose tolerance in patients with acute myocardial infarction (GAMI) cohort

Author

Ritsinger, Viveca, Brismar, Kerstin, Mellbin, Linda, Näsman, Per, Rydén, Lars, Söderberg, Stefan, and Norhammar, Anna

Subjects
FOS: Clinical medicine, 111199 Nutrition and Dietetics not elsewhere classified, Cardiology, 110323 Surgery, FOS: Health sciences, 110306 Endocrinology
Abstract

Supplemental material, dvdres-dec-2017-00190-Supplementary_File for Elevated levels of insulin-like growth factor-binding protein 1 predict outcome after acute myocardial infarction: A long-term follow-up of the glucose tolerance in patients with acute myocardial infarction (GAMI) cohort by Viveca Ritsinger, Kerstin Brismar, Linda Mellbin, Per Näsman, Lars Rydén, Stefan Söderberg and Anna Norhammar in Diabetes & Vascular Disease Research

Published
2018
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24. Quantification of the smoking-associated cancer risk with rate advancement periods: meta-analysis of individual participant data from cohorts of the CHANCES consortium

Author

Ordóñez-Mena, José Manuel, Schöttker, Ben, Mons, Ute, Jenab, Mazda, Freisling, Heinz, Bueno-de-Mesquita, Bas, O’Doherty, Mark G., Scott, Angela, Kee, Frank, Stricker, Bruno H., Hofman, Albert, de Keyser, Catherine E., Ruiter, Rikje, Söderberg, Stefan, Jousilahti, Pekka, Kuulasmaa, Kari, Freedman, Neal D., Wilsgaard, Tom, de Groot, Lisette CPGM, Kampman, Ellen, Håkansson, Niclas, Orsini, Nicola, Wolk, Alicja, Nilsson, Lena Maria, Tjønneland, Anne, Pająk, Andrzej, Malyutina, Sofia, Kubínová, Růžena, Tamosiunas, Abdonas, Bobak, Martin, Katsoulis, Michail, Orfanos, Philippos, Boffetta, Paolo, Trichopoulou, Antonia, Brenner, Hermann, and on behalf of the Consortium on Health and Ageing: Network of Cohorts in Europe and the United States (CHANCES)

Subjects
Meta-analysis, Incidence, Smoking, Cohort, Mortality, Cancer
Abstract

Background: Smoking is the most important individual risk factor for many cancer sites but its association with breast and prostate cancer is not entirely clear. Rate advancement periods (RAPs) may enhance communication of smoking related risk to the general population. Thus, we estimated RAPs for the association of smoking exposure (smoking status, time since smoking cessation, smoking intensity, and duration) with total and site-specific (lung, breast, colorectal, prostate, gastric, head and neck, and pancreatic) cancer incidence and mortality.Methods: This is a meta-analysis of 19 population-based prospective cohort studies with individual participant data for 897,021 European and American adults. For each cohort we calculated hazard ratios (HRs) for the association of smoking exposure with cancer outcomes using Cox regression adjusted for a common set of the most important potential confounding variables. RAPs (in years) were calculated as the ratio of the logarithms of the HRs for a given smoking exposure variable and age. Meta-analyses were employed to summarize cohort-specific HRs and RAPs.Results: Overall, 140,205 subjects had a first incident cancer, and 53,164 died from cancer, during an average follow-up of 12 years. Current smoking advanced the overall risk of developing and dying from cancer by eight and ten years, respectively, compared with never smokers. The greatest advancements in cancer risk and mortality were seen for lung cancer and the least for breast cancer. Smoking cessation was statistically significantly associated with delays in the risk of cancer development and mortality compared with continued smoking.Conclusions: This investigation shows that smoking, even among older adults, considerably advances, and cessation delays, the risk of developing and dying from cancer. These findings may be helpful in more effectively communicating the harmful effects of smoking and the beneficial effect of smoking cessation.

Published
2016

25. A Body Shape Index (ABSI) achieves better mortality risk stratification than alternative indices of abdominal obesity: results from a large European cohort

Author

Christakoudi, Sofia, Tsilidis, Konstantinos K, Muller, David C, Freisling, Heinz, Weiderpass, Elisabete, Overvad, Kim, Söderberg, Stefan, Häggström, Christel, Pischon, Tobias, Dahm, Christina C, Zhang, Jie, Tjønneland, Anne, Halkjær, Jytte, MacDonald, Conor, Boutron-Ruault, Marie-Christine, Mancini, Francesca Romana, Kühn, Tilman, Kaaks, Rudolf, Schulze, Matthias B, Trichopoulou, Antonia, Karakatsani, Anna, Peppa, Eleni, Masala, Giovanna, Pala, Valeria, Panico, Salvatore, Tumino, Rosario, Sacerdote, Carlotta, Quirós, J Ramón, Agudo, Antonio, Sánchez, Maria-Jose, Cirera, Lluís, Barricarte-Gurrea, Aurelio, Amiano, Pilar, Memarian, Ensieh, Sonestedt, Emily, Bueno-De-Mesquita, Bas, May, Anne M, Khaw, Kay-Tee, Wareham, Nicholas J, Tong, Tammy YN, Huybrechts, Inge, Noh, Hwayoung, Aglago, Elom K, Ellingjord-Dale, Merete, Ward, Heather A, Aune, Dagfinn, and Riboli, Elio

Subjects
2. Zero hunger, Male, Waist-Hip Ratio, nutritional and metabolic diseases, 3. Good health, Body Mass Index, Cohort Studies, Europe, Risk Factors, Obesity, Abdominal, Humans, Female, Waist Circumference, Proportional Hazards Models
Abstract

Abdominal and general adiposity are independently associated with mortality, but there is no consensus on how best to assess abdominal adiposity. We compared the ability of alternative waist indices to complement body mass index (BMI) when assessing all-cause mortality. We used data from 352,985 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) and Cox proportional hazards models adjusted for other risk factors. During a mean follow-up of 16.1 years, 38,178 participants died. Combining in one model BMI and a strongly correlated waist index altered the association patterns with mortality, to a predominantly negative association for BMI and a stronger positive association for the waist index, while combining BMI with the uncorrelated A Body Shape Index (ABSI) preserved the association patterns. Sex-specific cohort-wide quartiles of waist indices correlated with BMI could not separate high-risk from low-risk individuals within underweight (BMI < 18.5 kg/m2) or obese (BMI ≥ 30 kg/m2) categories, while the highest quartile of ABSI separated 18-39% of the individuals within each BMI category, which had 22-55% higher risk of death. In conclusion, only a waist index independent of BMI by design, such as ABSI, complements BMI and enables efficient risk stratification, which could facilitate personalisation of screening, treatment and monitoring.

26. Additional file 1: of Quantification of the smoking-associated cancer risk with rate advancement periods: meta-analysis of individual participant data from cohorts of the CHANCES consortium

Author

Ordóñez-Mena, José, Schöttker, Ben, Mons, Ute, Mazda Jenab, Freisling, Heinz, Bueno-De-Mesquita, Bas, O’Doherty, Mark, Scott, Angela, Kee, Frank, Stricker, Bruno, Hofman, Albert, Keyser, Catherine De, Rikje Ruiter, Söderberg, Stefan, Jousilahti, Pekka, Kuulasmaa, Kari, Freedman, Neal, Wilsgaard, Tom, Groot, Lisette De, Kampman, Ellen, Håkansson, Niclas, Orsini, Nicola, Wolk, Alicja, Nilsson, Lena, Tjønneland, Anne, Pająk, Andrzej, Malyutina, Sofia, Růžena Kubínová, Abdonas Tamosiunas, Bobak, Martin, Katsoulis, Michail, Orfanos, Philippos, Boffetta, Paolo, Trichopoulou, Antonia, and Brenner, Hermann

Subjects
3. Good health
Abstract

Main characteristics of cohorts participating in the current CHANCES investigation (Table S1). (DOC 56 kb)

27. Additional file 6: of Quantification of the smoking-associated cancer risk with rate advancement periods: meta-analysis of individual participant data from cohorts of the CHANCES consortium

Author

Ordóñez-Mena, José, Schöttker, Ben, Mons, Ute, Mazda Jenab, Freisling, Heinz, Bueno-De-Mesquita, Bas, O’Doherty, Mark, Scott, Angela, Kee, Frank, Stricker, Bruno, Hofman, Albert, Keyser, Catherine De, Rikje Ruiter, Söderberg, Stefan, Jousilahti, Pekka, Kuulasmaa, Kari, Freedman, Neal, Wilsgaard, Tom, Groot, Lisette De, Kampman, Ellen, Håkansson, Niclas, Orsini, Nicola, Wolk, Alicja, Nilsson, Lena, Tjønneland, Anne, Pająk, Andrzej, Malyutina, Sofia, Růžena Kubínová, Abdonas Tamosiunas, Bobak, Martin, Katsoulis, Michail, Orfanos, Philippos, Boffetta, Paolo, Trichopoulou, Antonia, and Brenner, Hermann

Subjects
3. Good health
Abstract

Associations of smoking intensity and duration with sex-specific cancer incidence and mortality (Table S6). (DOC 70 kb)

28. The NEWA Mesoscale Wind Atlas: production and ensemble runs

Author

Witha, Björn, Hahmann, Andrea, Sile, Tija, Barcons, Jordi, Davis, Neil, Dörenkämper, Martin, Ezber, Yasemin, García-Bustamante, Elena, González-Rouco, Fidel, Leroy, Grégoire, Navarro, Jorge, Olsen, Bjarke Tobias, Sastre, Mariano, Söderberg, Stefan, and Trei, Wilke

Subjects
13. Climate action, wind atlas, WRF, ensemble, mesoscale, 7. Clean energy
Abstract

A central part of the New European Wind Atlas (NEWA) is the generation of a mesoscale wind atlas which is based on 30 years of simulations with the WRF (Weather Research and Forecast) model. The atlas will cover all EU countries (plus Norway, Switzerland, the Balkans and Turkey) and associated offshore areas up to 100 km off the coast including the complete North and Baltic Seas. The first part of the presentation gives an overview of the work that was done to prepare the mesoscale wind atlas production runs. To arrive at a final model configuration for the production run, a large ensemble of nearly 50 WRF simulations with different model setups was performed. The parameters tested in the ensemble members include, among others: model version, atmospheric and sea surface temperature input, land surface model as well as surface and PBL parameterisations. Information from the ensemble runs will also be used to provide uncertainty information to the wind atlas. After presenting the final setup of the production runs, some information is given about the management of the production runs, which were performed on the Tier-0 supercomputer MareNostrum. Finally, results from the production runs are shown.

29. A Body Shape Index (ABSI) achieves better mortality risk stratification than alternative indices of abdominal obesity: results from a large European cohort

Author

Christakoudi, Sofia, Tsilidis, Konstantinos K., Muller, David C., Freisling, Heinz, Weiderpass, Elisabete, Overvad, Kim, Söderberg, Stefan, Häggström, Christel, Pischon, Tobias, Dahm, Christina C., Zhang, Jie, Tjønneland, Anne, Halkjær, Jytte, MacDonald, Conor, Boutron-Ruault, Marie-Christine, Mancini, Francesca Romana, Kühn, Tilman, Kaaks, Rudolf, Schulze, Matthias B., Trichopoulou, Antonia, Karakatsani, Anna, Peppa, Eleni, Masala, Giovanna, Pala, Valeria, Panico, Salvatore, Tumino, Rosario, Sacerdote, Carlotta, Quirós, J. Ramón, Agudo, Antonio, Sánchez, Maria-Jose, Cirera, Lluís, Barricarte-Gurrea, Aurelio, Amiano, Pilar, Memarian, Ensieh, Sonestedt, Emily, Bueno-De-Mesquita, Bas, May, Anne M., Khaw, Kay-Tee, Wareham, Nicholas J., Tong, Tammy Y. N., Huybrechts, Inge, Noh, Hwayoung, Aglago, Elom K., Ellingjord-Dale, Merete, Ward, Heather A., Aune, Dagfinn, and Riboli, Elio

Subjects
2. Zero hunger, 692/699/317, 692/700/2817, 692/700/459/284, article, nutritional and metabolic diseases, 692/163/2743/393, 692/499, 3. Good health
Abstract

Abdominal and general adiposity are independently associated with mortality, but there is no consensus on how best to assess abdominal adiposity. We compared the ability of alternative waist indices to complement body mass index (BMI) when assessing all-cause mortality. We used data from 352,985 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) and Cox proportional hazards models adjusted for other risk factors. During a mean follow-up of 16.1 years, 38,178 participants died. Combining in one model BMI and a strongly correlated waist index altered the association patterns with mortality, to a predominantly negative association for BMI and a stronger positive association for the waist index, while combining BMI with the uncorrelated A Body Shape Index (ABSI) preserved the association patterns. Sex-specific cohort-wide quartiles of waist indices correlated with BMI could not separate high-risk from low-risk individuals within underweight (BMI < 18.5 kg/m2) or obese (BMI ≥ 30 kg/m2) categories, while the highest quartile of ABSI separated 18–39% of the individuals within each BMI category, which had 22–55% higher risk of death. In conclusion, only a waist index independent of BMI by design, such as ABSI, complements BMI and enables efficient risk stratification, which could facilitate personalisation of screening, treatment and monitoring.

30. Additional file 5: of Quantification of the smoking-associated cancer risk with rate advancement periods: meta-analysis of individual participant data from cohorts of the CHANCES consortium

Author

Ordóñez-Mena, José, Schöttker, Ben, Mons, Ute, Mazda Jenab, Freisling, Heinz, Bueno-De-Mesquita, Bas, O’Doherty, Mark, Scott, Angela, Kee, Frank, Stricker, Bruno, Hofman, Albert, Keyser, Catherine De, Rikje Ruiter, Söderberg, Stefan, Jousilahti, Pekka, Kuulasmaa, Kari, Freedman, Neal, Wilsgaard, Tom, Groot, Lisette De, Kampman, Ellen, Håkansson, Niclas, Orsini, Nicola, Wolk, Alicja, Nilsson, Lena, Tjønneland, Anne, Pająk, Andrzej, Malyutina, Sofia, Růžena Kubínová, Abdonas Tamosiunas, Bobak, Martin, Katsoulis, Michail, Orfanos, Philippos, Boffetta, Paolo, Trichopoulou, Antonia, and Brenner, Hermann

Subjects
3. Good health
Abstract

Associations of smoking intensity and duration with total and digestive tract cancer incidence and mortality (Table S5). (DOC 88 kb)

31. Report on Link to Global Wind Atlas and National Wind Atlases (Deliverable D4.7)

Author

Badger, Jake, Sempreviva, Anna Maria, Söderberg, Stefan, Costa, Paula Alexandra, Simoes, Teresa, Estanqueiro, Ana, Gottschall, Julia, Dörenkämper, Martin, Callies, Doron, Navarro Montesinos, Jorge, González Rouco, J. Fidel, Garcia Bustamante, Elena, and Bauwens, Ides

Subjects
13. Climate action, 7. Clean energy
Abstract

This document provides information for numerous wind atlas, relevant to the New European Wind Atlas. It uses the taxonomy and metadata card format, developed for the wind energy sector and wind resource assessment, in particular, by the European collaborators within the IPRWind project. By using this taxonomy various aspects the wind atlases can be as compared and features in common can be examined.

32. Additional file 1 of Association of glycated hemoglobin A1c levels with cardiovascular outcomes in the general population: results from the BiomarCaRE (Biomarker for Cardiovascular Risk Assessment in Europe) consortium

Author

Sinning, Christoph, Makarova, Nataliya, Völzke, Henry, Schnabel, Renate B., Ojeda, Francisco, Dörr, Marcus, Felix, Stephan B., Koenig, Wolfgang, Peters, Annette, Rathmann, Wolfgang, Schöttker, Ben, Brenner, Hermann, Veronesi, Giovanni, Cesana, Giancarlo, Brambilla, Paolo, Palosaari, Tarja, Kuulasmaa, Kari, Njølstad, Inger, Mathiesen, Ellisiv Bøgeberg, Wilsgaard, Tom, Blankenberg, Stefan, Söderberg, Stefan, Ferrario, Marco M., and Thorand, Barbara

Subjects
ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, ComputingMilieux_COMPUTERSANDEDUCATION, Data_FILES, ComputerApplications_COMPUTERSINOTHERSYSTEMS, 3. Good health
Abstract

Additional file 1. Online supplementary material.

33. Additional file 1: of Quantification of the smoking-associated cancer risk with rate advancement periods: meta-analysis of individual participant data from cohorts of the CHANCES consortium

Author

Ordóñez-Mena, José, Schöttker, Ben, Mons, Ute, Mazda Jenab, Freisling, Heinz, Bueno-De-Mesquita, Bas, O’Doherty, Mark, Scott, Angela, Kee, Frank, Stricker, Bruno, Hofman, Albert, Keyser, Catherine De, Rikje Ruiter, Söderberg, Stefan, Jousilahti, Pekka, Kuulasmaa, Kari, Freedman, Neal, Wilsgaard, Tom, Groot, Lisette De, Kampman, Ellen, Håkansson, Niclas, Orsini, Nicola, Wolk, Alicja, Nilsson, Lena, Tjønneland, Anne, Pająk, Andrzej, Malyutina, Sofia, Růžena Kubínová, Abdonas Tamosiunas, Bobak, Martin, Katsoulis, Michail, Orfanos, Philippos, Boffetta, Paolo, Trichopoulou, Antonia, and Brenner, Hermann

Subjects
3. Good health
Abstract

Main characteristics of cohorts participating in the current CHANCES investigation (Table S1). (DOC 56 kb)

34. Report on Link to Global Wind Atlas and National Wind Atlases (Deliverable D4.7)

Author

Badger, Jake, Sempreviva, Anna Maria, Söderberg, Stefan, Costa, Paula Alexandra, Simoes, Teresa, Estanqueiro, Ana, Gottschall, Julia, Dörenkämper, Martin, Callies, Doron, Navarro Montesinos, Jorge, González Rouco, J. Fidel, Garcia Bustamante, Elena, and Bauwens, Ides

Subjects
7. Clean energy
Abstract

This document provides information for numerous wind atlas, relevant to the New European Wind Atlas. It uses the taxonomy and metadata card format, developed for the wind energy sector and wind resource assessment, in particular, by the European collaborators within the IPRWind project. By using this taxonomy various aspects the wind atlases can be as compared and features in common can be examined.&nbsp

35. Additional file 3: of Quantification of the smoking-associated cancer risk with rate advancement periods: meta-analysis of individual participant data from cohorts of the CHANCES consortium

Author

Ordóñez-Mena, José, Schöttker, Ben, Mons, Ute, Mazda Jenab, Freisling, Heinz, Bueno-De-Mesquita, Bas, O’Doherty, Mark, Scott, Angela, Kee, Frank, Stricker, Bruno, Hofman, Albert, Keyser, Catherine De, Rikje Ruiter, Söderberg, Stefan, Jousilahti, Pekka, Kuulasmaa, Kari, Freedman, Neal, Wilsgaard, Tom, Groot, Lisette De, Kampman, Ellen, Håkansson, Niclas, Orsini, Nicola, Wolk, Alicja, Nilsson, Lena, Tjønneland, Anne, Pająk, Andrzej, Malyutina, Sofia, Růžena Kubínová, Abdonas Tamosiunas, Bobak, Martin, Katsoulis, Michail, Orfanos, Philippos, Boffetta, Paolo, Trichopoulou, Antonia, and Brenner, Hermann

Subjects
3. Good health
Abstract

Stratification of meta-analyses and reassessment of heterogeneity for the association of smoking status with total cancer incidence and mortality according to the general cohort characteristics (Table S3). (DOC 82 kb)

36. Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight

Author

NCD Risk Factor Collaboration (NCD-RisC), Iurilli, Maria LC, Zhou, Bin, Bennett, James E, Carrillo-Larco, Rodrigo M, Sophiea, Marisa K, Rodriguez-Martinez, Andrea, Bixby, Honor, Solomon, Bethlehem D, Taddei, Cristina, Danaei, Goodarz, Di Cesare, Mariachiara, Stevens, Gretchen A, Riley, Leanne M, Savin, Stefan, Cowan, Melanie J, Bovet, Pascal, Damasceno, Albertino, Chirita-Emandi, Adela, Hayes, Alison J, Ikeda, Nayu, Jackson, Rod T, Khang, Young-Ho, Laxmaiah, Avula, Liu, Jing, Miranda, J Jaime, Saidi, Olfa, Sebert, Sylvain, Sorić, Maroje, Starc, Gregor, Gregg, Edward W, Abarca-Gómez, 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-Lahou, Badreya, 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, Bo Andersen, Lars, Anderssen, Sigmund A, Ängquist, Lars, Anjana, Ranjit Mohan, Ansari-Moghaddam, Alireza, Aounallah-Skhiri, Hajer, Araújo, Joana, Ariansen, Inger, Aris, Tahir, Arku, Raphael E, Arlappa, Nimmathota, Aryal, Krishna K, Aspelund, Thor, Assah, Felix K, Assunção, Maria Cecília F, Aung, May Soe, Auvinen, Juha, Avdicová, Mária, Avi, Shina, Azevedo, Ana, Azimi-Nezhad, Mohsen, Azizi, Fereidoun, Azmin, Mehrdad, Babu, Bontha V, Jørgensen, Maja Bæksgaard, Baharudin, Azli, Bahijri, Suhad, Baker, Jennifer L, Balakrishna, Nagalla, Bamoshmoosh, Mohamed, Banach, Maciej, Bandosz, Piotr, Banegas, José R, Baran, Joanna, Barbagallo, Carlo M, Barceló, Alberto, Barkat, Amina, Barros, Aluisio JD, Barros, Mauro Virgílio Gomes, Basit, Abdul, Bastos, Joao Luiz D, Bata, Iqbal, Batieha, Anwar M, Batista, Rosangela L, Battakova, Zhamilya, Batyrbek, Assembekov, Baur, Louise A, Beaglehole, Robert, Bel-Serrat, Silvia, Belavendra, Antonisamy, Romdhane, Habiba Ben, Benedics, Judith, Benet, Mikhail, Bergh, Ingunn Holden, Berkinbayev, Salim, Bernabe-Ortiz, Antonio, Bernotiene, Gailute, Bettiol, Heloísa, Bezerra, Jorge, Bhagyalaxmi, Aroor, Bharadwaj, Sumit, Bhargava, Santosh K, Bhutta, Zulfiqar A, Bi, Hongsheng, Bi, Yufang, Bia, Daniel, Lele, Elysée Claude Bika, Bikbov, Mukharram M, Bista, Bihungum, Bjelica, Dusko J, Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B, Björkelund, Cecilia, Bloch, Katia V, Blokstra, Anneke, Bo, Simona, Bobak, Martin, Boddy, Lynne M, Boehm, Bernhard O, Boeing, Heiner, Boggia, Jose G, Bogova, Elena, Boissonnet, Carlos P, Bojesen, Stig E, Bonaccio, Marialaura, Bongard, Vanina, Bonilla-Vargas, Alice, Bopp, Matthias, Borghs, Herman, Braeckevelt, Lien, Braeckman, Lutgart, Bragt, Marjolijn CE, Brajkovich, Imperia, Branca, Francesco, Breckenkamp, Juergen, Breda, João, Brenner, Hermann, Brewster, Lizzy M, Brian, Garry R, Brinduse, Lacramioara, Brophy, Sinead, Bruno, Graziella, Bueno-De-Mesquita, H Bas, Bugge, Anna, Buoncristiano, Marta, Burazeri, Genc, Burns, Con, De León, Antonio Cabrera, Cacciottolo, Joseph, Cai, Hui, Cama, Tilema, Cameron, Christine, Camolas, José, Can, Günay, Cândido, Ana Paula C, Cañete, Felicia, Capanzana, Mario V, Capková, Nadežda, Capuano, Eduardo, Capuano, Vincenzo, Cardol, Marloes, Cardoso, Viviane C, Carlsson, Axel C, Carmuega, Esteban, Carvalho, Joana, Casajús, José A, Casanueva, Felipe F, Celikcan, Ertugrul, Censi, Laura, Cervantes-Loaiza, Marvin, Cesar, Juraci A, Chamukuttan, Snehalatha, Chan, Angelique W, Chan, Queenie, Chaturvedi, Himanshu K, Chaturvedi, Nish, Rahim, Norsyamlina Che Abdul, Li Chee, Miao, Chen, Chien-Jen, Chen, Fangfang, Chen, Huashuai, Chen, Shuohua, Chen, Zhengming, Cheng, Ching-Yu, Cheraghian, Bahman, Chetrit, Angela, Chikova-Iscener, Ekaterina, Chiolero, Arnaud, Chiou, Shu-Ti, Chirlaque, María-Dolores, Cho, Belong, Christensen, Kaare, Christofaro, Diego G, Chudek, Jerzy, Cifkova, Renata, Cilia, Michelle, Cinteza, Eliza, Claessens, Frank, Clarke, Janine, Clays, Els, Cohen, Emmanuel, Concin, Hans, Confortin, Susana C, Cooper, Cyrus, Coppinger, Tara C, Corpeleijn, Eva, Costanzo, Simona, Cottel, Dominique, Cowell, Chris, Craig, Cora L, Crampin, Amelia C, Crujeiras, Ana B, Csilla, Semánová, Cucu, Alexandra M, Cui, Liufu, Cureau, Felipe V, Czenczek-Lewandowska, Ewelina, D'Arrigo, Graziella, D'Orsi, Eleonora, Dacica, Liliana, Re Saavedra, María Ángeles Dal, Dallongeville, Jean, Damsgaard, Camilla T, Dankner, Rachel, Dantoft, Thomas M, Dasgupta, Parasmani, Dastgiri, Saeed, Dauchet, Luc, Davletov, Kairat, De Backer, Guy, De Bacquer, Dirk, De Gaetano, Giovanni, De Henauw, Stefaan, De Oliveira, Paula Duarte, De Ridder, David, De Ridder, Karin, De Rooij, Susanne R, De Smedt, Delphine, Deepa, Mohan, Deev, Alexander D, Jr DeGennaro, Vincent, Dehghan, Abbas, Delisle, Hélène, Delpeuch, Francis, Demarest, Stefaan, Dennison, Elaine, Dereń, Katarzyna, Deschamps, Valérie, Dhimal, Meghnath, Di Castelnuovo, Augusto F, Dias-Da-Costa, Juvenal Soares, Díaz-Sánchez, María Elena, Diaz, Alejandro, Dika, Zivka, Djalalinia, Shirin, Djordjic, Visnja, Do, Ha TP, Dobson, Annette J, Donati, Maria Benedetta, Donfrancesco, Chiara, Donoso, Silvana P, Döring, Angela, Dorobantu, Maria, Dorosty, Ahmad Reza, Doua, Kouamelan, Dragano, Nico, Drygas, Wojciech, Li Duan, Jia, Duante, Charmaine A, Duboz, Priscilla, Duda, Rosemary B, Duleva, Vesselka, Dulskiene, Virginija, Dumith, Samuel C, Dushpanova, Anar, Dzerve, Vilnis, Dziankowska-Zaborszczyk, Elzbieta, Eddie, Ricky, Eftekhar, Ebrahim, Egbagbe, Eruke E, Eggertsen, Robert, Eghtesad, Sareh, Eiben, Gabriele, Ekelund, Ulf, El-Khateeb, Mohammad, El Ati, Jalila, Eldemire-Shearer, Denise, Eliasen, Marie, Elliott, Paul, Engle-Stone, Reina, Enguerran, Macia, Erasmus, Rajiv T, Erbel, Raimund, Erem, Cihangir, Eriksen, Louise, Eriksson, Johan G, La Peña, Jorge Escobedo-De, Eslami, Saeid, Esmaeili, Ali, Evans, Alun, Faeh, David, Fakhretdinova, Albina A, Fall, Caroline H, Faramarzi, Elnaz, Farjam, Mojtaba, Sant'Angelo, Victoria Farrugia, Farzadfar, Farshad, Fattahi, Mohammad Reza, Fawwad, Asher, Felix-Redondo, Francisco J, Ferguson, Trevor S, Fernandes, Romulo A, Fernández-Bergés, Daniel, Ferrante, Daniel, Ferrao, Thomas, Ferrari, Marika, Ferrario, Marco M, Ferreccio, Catterina, Ferrer, Eldridge, Ferrieres, Jean, Figueiró, Thamara Hubler, Fijalkowska, Anna, Fink, Günther, Fischer, Krista, Foo, Leng Huat, Forsner, Maria, Fouad, Heba M, Francis, Damian K, Do Carmo Franco, Maria, Frikke-Schmidt, Ruth, Frontera, Guillermo, Fuchs, Flavio D, Fuchs, Sandra C, Fujiati, Isti I, Fujita, Yuki, Fumihiko, Matsuda, Furusawa, Takuro, Gaciong, Zbigniew, Gafencu, Mihai, Galbarczyk, Andrzej, Galenkamp, Henrike, Galeone, Daniela, Galfo, Myriam, Galvano, Fabio, Gao, Jingli, Garcia-De-La-Hera, Manoli, García-Solano, Marta, Gareta, Dickman, Garnett, Sarah P, Gaspoz, Jean-Michel, Gasull, Magda, Gaya, Adroaldo Cesar Araujo, Gaya, Anelise Reis, Gazzinelli, Andrea, Gehring, Ulrike, Geiger, Harald, Geleijnse, Johanna M, Ghanbari, Ali, Ghasemi, Erfan, Gheorghe-Fronea, Oana-Florentina, Giampaoli, Simona, Gianfagna, Francesco, Gill, Tiffany K, Giovannelli, Jonathan, Gironella, Glen, Giwercman, Aleksander, Gkiouras, Konstantinos, Godos, Justyna, Gogen, Sibel, Goldberg, Marcel, Goldsmith, Rebecca A, Goltzman, David, Gómez, Santiago F, Gomula, Aleksandra, Da Silva, Bruna Goncalves Cordeiro, Gonçalves, Helen, Gonzalez-Chica, David A, Gonzalez-Gross, Marcela, González-Leon, Margot, González-Rivas, Juan P, González-Villalpando, Clicerio, González-Villalpando, María-Elena, Gonzalez, Angel R, Gottrand, Frederic, Graça, Antonio Pedro, Graff-Iversen, Sidsel, Grafnetter, Dušan, Grajda, Aneta, Grammatikopoulou, Maria G, Gregor, Ronald D, Grodzicki, Tomasz, Grøholt, Else Karin, Grøntved, Anders, Grosso, Giuseppe, Gruden, Gabriella, Gu, Dongfeng, Gualdi-Russo, Emanuela, Guallar-Castillón, Pilar, Gualtieri, Andrea, Gudmundsson, Elias F, Gudnason, Vilmundur, Guerrero, Ramiro, Guessous, Idris, Guimaraes, Andre L, Gulliford, Martin C, Gunnlaugsdottir, Johanna, Gunter, Marc J, Guo, Xiu-Hua, Guo, Yin, Gupta, Prakash C, Gupta, Rajeev, Gureje, Oye, Gurzkowska, Beata, Gutiérrez-González, Enrique, Gutierrez, Laura, Gutzwiller, Felix, Ha, Seongjun, Hadaegh, Farzad, Hadjigeorgiou, Charalambos A, Haghshenas, Rosa, Hakimi, Hamid, Halkjær, Jytte, Hambleton, Ian R, Hamzeh, Behrooz, Hange, Dominique, Hanif, Abu AM, Hantunen, Sari, Hao, Jie, Kumar, Rachakulla Hari, Hashemi-Shahri, Seyed Mohammad, Hassapidou, Maria, Hata, Jun, Haugsgjerd, Teresa, He, Jiang, He, Yuan, He, Yuna, Heidinger-Felso, Regina, Heinen, Mirjam, Hejgaard, Tatjana, Hendriks, Marleen Elisabeth, Dos Santos Henrique, Rafael, Henriques, Ana, Cadena, Leticia Hernandez, Herrala, Sauli, Herrera, Victor M, Herter-Aeberli, Isabelle, Heshmat, Ramin, Hill, Allan G, Ho, Sai Yin, Ho, Suzanne C, Hobbs, Michael, Holdsworth, Michelle, Homayounfar, Reza, Homs, Clara, Hopman, Wilma M, Horimoto, Andrea RVR, Hormiga, Claudia M, Horta, Bernardo L, Houti, Leila, Howitt, Christina, Htay, Thein Thein, Htet, Aung Soe, Htike, Maung Maung Than, Hu, Yonghua, Huerta, José María, Huhtaniemi, Ilpo Tapani, Huiart, Laetitia, Petrescu, Constanta Huidumac, Huisman, Martijn, Husseini, Abdullatif, Huu, Chinh Nguyen, Huybrechts, Inge, Hwalla, Nahla, Hyska, Jolanda, Iacoviello, Licia, Ibarluzea, Jesús M, Ibrahim, Mohsen M, Wong, Norazizah Ibrahim, Ikram, M Arfan, Iotova, Violeta, Irazola, Vilma E, Ishida, Takafumi, Islam, Muhammad, Islam, Sheikh Mohammed Shariful, Iwasaki, Masanori, Jacobs, Jeremy M, Jaddou, Hashem Y, Jafar, Tazeen, James, Kenneth, Jamil, Kazi M, Jamrozik, Konrad, Janszky, Imre, Janus, Edward, Jarani, Juel, Jarvelin, Marjo-Riitta, Jasienska, Grazyna, Jelakovic, Ana, Jelakovic, Bojan, Jennings, Garry, Jha, Anjani Kumar, Jiang, Chao Qiang, Jimenez, Ramon O, Jöckel, Karl-Heinz, Joffres, Michel, Johansson, Mattias, Jokelainen, Jari J, Jonas, Jost B, Jonnagaddala, Jitendra, Jørgensen, Torben, Joshi, Pradeep, Joukar, Farahnaz, Jovic, Dragana P, Jóźwiak, Jacek J, Juolevi, Anne, Jurak, Gregor, Simina, Iulia Jurca, Juresa, Vesna, Kaaks, Rudolf, Kaducu, Felix O, Kafatos, Anthony, Kajantie, Eero O, Kalmatayeva, Zhanna, Kalter-Leibovici, Ofra, Kameli, Yves, Kampmann, Freja B, Kanala, Kodanda R, Kannan, Srinivasan, Kapantais, Efthymios, Karakosta, Argyro, Kårhus, Line L, Karki, Khem B, Katibeh, Marzieh, Katz, Joanne, Katzmarzyk, Peter T, Kauhanen, Jussi, Kaur, Prabhdeep, Kavousi, Maryam, Kazakbaeva, Gyulli M, Keil, Ulrich, Boker, Lital Keinan, Keinänen-Kiukaanniemi, Sirkka, Kelishadi, Roya, Kelleher, Cecily, Kemper, Han CG, Kengne, Andre P, Keramati, Maryam, Kerimkulova, Alina, Kersting, Mathilde, Key, Timothy, Khader, Yousef Saleh, Khalili, Davood, Khaw, Kay-Tee, Kheiri, Bahareh, Kheradmand, Motahareh, Khosravi, Alireza, Khouw, Ilse MSL, Kiechl-Kohlendorfer, Ursula, Kiechl, Stefan, Killewo, Japhet, Kim, Dong Wook, Kim, Hyeon Chang, Kim, Jeongseon, Kindblom, Jenny M, Klakk, Heidi, Klimek, Magdalena, Klimont, Jeannette, Klumbiene, Jurate, Knoflach, Michael, Koirala, Bhawesh, Kolle, Elin, Kolsteren, Patrick, König, Jürgen, Korpelainen, Raija, Korrovits, Paul, Korzycka, Magdalena, Kos, Jelena, Koskinen, Seppo, Kouda, Katsuyasu, Kovacs, Viktoria A, Kowlessur, Sudhir, Koziel, Slawomir, Kratenova, Jana, Kratzer, Wolfgang, Kriemler, Susi, Kristensen, Peter Lund, Krokstad, Steiner, Kromhout, Daan, Kruger, Herculina S, Kubinova, Ruzena, Kuciene, Renata, Kujala, Urho M, Kujundzic, Enisa, Kulaga, Zbigniew, Kumar, R Krishna, Kunešová, Marie, Kurjata, Pawel, Kusuma, Yadlapalli S, Kuulasmaa, Kari, Kyobutungi, Catherine, La, Quang Ngoc, Laamiri, Fatima Zahra, Laatikainen, Tiina, Lachat, Carl, Laid, Youcef, Lam, Tai Hing, Lambrinou, Christina-Paulina, Landais, Edwige, Lanska, Vera, Lappas, Georg, Larijani, Bagher, Latt, Tint Swe, Lauria, Laura, Lazo-Porras, Maria, Le Coroller, Gwenaëlle, Le Nguyen Bao, Khanh, Le Port, Agnès, Le, Tuyen D, Lee, Jeannette, Lee, Jeonghee, Lee, Paul H, Lehmann, Nils, Lehtimäki, Terho, Lemogoum, Daniel, Levitt, Naomi S, Li, Yanping, Liivak, Merike, Lilly, Christa L, Lim, Wei-Yen, Lima-Costa, M Fernanda, Lin, Hsien-Ho, Lin, Xu, Lin, Yi-Ting, Lind, Lars, Linneberg, Allan, Lissner, Lauren, Litwin, Mieczyslaw, Liu, Lijuan, Lo, Wei-Cheng, Loit, Helle-Mai, Long, Khuong Quynh, Lopes, Luis, Lopes, Oscar, Lopez-Garcia, Esther, Lopez, Tania, Lotufo, Paulo A, Lozano, José Eugenio, Lukrafka, Janice L, Luksiene, Dalia, Lundqvist, Annamari, Lundqvist, Robert, Lunet, Nuno, Lunogelo, Charles, Lustigová, Michala, Łuszczki, Edyta, Ma, Guansheng, Ma, Jun, Ma, Xu, Machado-Coelho, George LL, Machado-Rodrigues, Aristides M, Macieira, Luisa M, Madar, Ahmed A, Maggi, Stefania, Magliano, Dianna J, Magnacca, Sara, Magriplis, Emmanuella, Mahasampath, Gowri, Maire, Bernard, Majer, Marjeta, Makdisse, Marcia, Mäki, Päivi, Malekzadeh, Fatemeh, Malekzadeh, Reza, Malhotra, Rahul, Rao, Kodavanti Mallikharjuna, Malyutina, Sofia K, Maniego, Lynell V, Manios, Yannis, Mann, Jim I, Mansour-Ghanaei, Fariborz, Manzato, Enzo, Margozzini, Paula, Markaki, Anastasia, Markey, Oonagh, Ioannidou, Eliza Markidou, Marques-Vidal, Pedro, Marques, Larissa Pruner, Marrugat, Jaume, Martin-Prevel, Yves, Martin, Rosemarie, Martorell, Reynaldo, Martos, Eva, Maruszczak, Katharina, Marventano, Stefano, Mascarenhas, Luis P, Masoodi, Shariq R, Mathiesen, Ellisiv B, Mathur, Prashant, Matijasevich, Alicia, Matsha, Tandi E, Mavrogianni, Christina, Mazur, Artur, Mbanya, Jean Claude N, McFarlane, Shelly R, McGarvey, Stephen T, McKee, Martin, McLachlan, Stela, McLean, Rachael M, McLean, Scott B, McNulty, Breige A, Benchekor, Sounnia Mediene, Medzioniene, Jurate, Mehdipour, Parinaz, Mehlig, Kirsten, 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Moon, Jin Soo, Moosazadeh, Mahmood, Moreira, Leila B, Morejon, Alain, Moreno, Luis A, Morgan, Karen, Morin, Suzanne N, Mortensen, Erik Lykke, Moschonis, George, Mossakowska, Malgorzata, Mostafa, Aya, Mota-Pinto, Anabela, Mota, Jorge, Motlagh, Mohammad Esmaeel, Motta, Jorge, Moura-Dos-Santos, Marcos André, Mridha, Malay K, Msyamboza, Kelias P, Mu, Thet Thet, Muc, Magdalena, Mugoša, Boban, Muiesan, Maria L, Mukhtorova, Parvina, Müller-Nurasyid, Martina, Murphy, Neil, Mursu, Jaakko, Murtagh, Elaine M, Musa, Kamarul Imran, Milanovic, Sanja Music, Musil, Vera, Mustafa, Norlaila, Nabipour, Iraj, Naderimagham, Shohreh, Nagel, Gabriele, Naidu, Balkish M, Najafi, Farid, Nakamura, Harunobu, Námešná, Jana, Ei K Nang, Ei, Nangia, Vinay B, Nankap, Martin, Narake, Sameer, Nardone, Paola, Nauck, Matthias, Neal, William A, Nejatizadeh, Azim, Nekkantti, Chandini, Nelis, Keiu, Nelis, Liis, Nenko, Ilona, Neovius, Martin, Nervi, Flavio, Nguyen, Chung T, Nguyen, Nguyen D, Nguyen, Quang Ngoc, Nieto-Martínez, Ramfis E, Nikitin, Yury P, Ning, Guang, Ninomiya, Toshiharu, Nishtar, Sania, Noale, Marianna, Noboa, Oscar A, Nogueira, Helena, Norat, Teresa, Nordendahl, Maria, Nordestgaard, Børge G, Noto, Davide, Nowak-Szczepanska, Natalia, Al Nsour, Mohannad, Nuhoglu, Irfan, Nurk, Eha, O'Neill, Terence W, O'Reilly, Dermot, Obreja, Galina, Ochimana, Caleb, Ochoa-Avilés, Angélica M, Oda, Eiji, Oh, Kyungwon, Ohara, Kumiko, Ohlsson, Claes, Ohtsuka, Ryutaro, Olafsson, Örn, Olinto, Maria Teresa A, Oliveira, Isabel O, Omar, Mohd Azahadi, Onat, Altan, Ong, Sok King, Ono, Lariane M, Ordunez, Pedro, Ornelas, Rui, Ortiz, Ana P, Ortiz, Pedro J, Osler, Merete, Osmond, Clive, Ostojic, Sergej M, Ostovar, Afshin, Otero, Johanna A, Overvad, Kim, Owusu-Dabo, Ellis, Paccaud, Fred Michel, Padez, Cristina, Pagkalos, Ioannis, Pahomova, Elena, De Paiva, Karina Mary, Pajak, Andrzej, Palli, Domenico, Palloni, Alberto, Palmieri, Luigi, Pan, Wen-Harn, Panda-Jonas, Songhomitra, Pandey, Arvind, Panza, Francesco, Papandreou, Dimitrios, Park, Soon-Woo, Park, Suyeon, Parnell, Winsome R, Parsaeian, Mahboubeh, Pascanu, Ionela M, Pasquet, Patrick, Patel, Nikhil D, Pecin, Ivan, Pednekar, Mangesh S, Peer, Nasheeta, Pei, Gao, Peixoto, Sergio Viana, Peltonen, Markku, Pereira, Alexandre C, Peres, Marco A, Pérez-Farinós, Napoleón, Pérez, Cynthia M, Peterkova, Valentina, Peters, Annette, Petersmann, Astrid, Petkeviciene, Janina, Petrauskiene, Ausra, Pettenuzzo, Emanuela, Peykari, Niloofar, Pham, Son Thai, Pichardo, Rafael N, Pierannunzio, Daniela, Pigeot, Iris, Pikhart, Hynek, Pilav, Aida, Pilotto, Lorenza, Pistelli, Francesco, Pitakaka, Freda, Piwonska, Aleksandra, Pizarro, Andreia N, Plans-Rubió, Pedro, Poh, Bee Koon, Pohlabeln, Hermann, Pop, Raluca M, Popovic, Stevo R, Porta, Miquel, Posch, Georg, Poudyal, Anil, Poulimeneas, Dimitrios, Pouraram, Hamed, Pourfarzi, Farhad, Pourshams, Akram, Poustchi, Hossein, Pradeepa, Rajendra, Price, Alison J, Price, Jacqueline F, Providencia, Rui, Puder, 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Rojroongwasinkul, Nipa, Romaguera, Dora, Romeo, Elisabetta L, Rosario, Rafaela V, Rosengren, Annika, Rouse, Ian, Roy, Joel GR, Rubinstein, Adolfo, Rühli, Frank J, Ruidavets, Jean-Bernard, Ruiz-Betancourt, Blanca Sandra, Ruiz-Castell, Maria, Moreno, Emma Ruiz, Rusakova, Iuliia A, Jonsson, Kenisha Russell, Russo, Paola, Rust, Petra, Rutkowski, Marcin, Sabanayagam, Charumathi, Sacchini, Elena, Sachdev, Harshpal S, Sadjadi, Alireza, Safarpour, Ali Reza, Safiri, Saeid, Saki, Nader, Salanave, Benoit, Martinez, Eduardo Salazar, Salmerón, Diego, Salomaa, Veikko, Salonen, Jukka T, Salvetti, Massimo, Samoutian, Margarita, Sánchez-Abanto, Jose, Sandjaja, Sans, Susana, Marina, Loreto Santa, Santos, Diana A, Santos, Ina S, Santos, Lèlita C, Santos, Maria Paula, Santos, Osvaldo, Santos, Rute, Sanz, Sara Santos, Saramies, Jouko L, Sardinha, Luis B, Sarrafzadegan, Nizal, Sathish, Thirunavukkarasu, Saum, Kai-Uwe, Savva, Savvas, Savy, Mathilde, Sawada, Norie, Sbaraini, Mariana, Scazufca, Marcia, Schaan, Beatriz D, Rosario, Angelika Schaffrath, Schargrodsky, Herman, Schienkiewitz, Anja, Schipf, Sabine, Schmidt, Carsten O, Schmidt, Ida Maria, Schnohr, Peter, Schöttker, Ben, Schramm, Sara, Schramm, Stine, Schröder, Helmut, Schultsz, Constance, Schutte, Aletta E, Sein, Aye Aye, Selamat, Rusidah, Sember, Vedrana, Sen, Abhijit, Senbanjo, Idowu O, Sepanlou, Sadaf G, Sequera, Victor, Serra-Majem, Luis, Servais, Jennifer, Ševcíková, Ludmila, Shalnova, Svetlana A, Shamah-Levy, Teresa, Shamshirgaran, Morteza, Shanthirani, Coimbatore Subramaniam, Sharafkhah, Maryam, Sharma, Sanjib K, Shaw, Jonathan E, Shayanrad, Amaneh, Shayesteh, Ali Akbar, Shengelia, Lela, Shi, Zumin, Shibuya, Kenji, Shimizu-Furusawa, Hana, Shin, Dong Wook, Shirani, Majid, Shiri, Rahman, Shrestha, Namuna, Si-Ramlee, Khairil, Siani, Alfonso, Siantar, Rosalynn, Sibai, Abla M, Silva, Antonio M, Silva, Diego Augusto Santos, Simon, Mary, Simons, Judith, Simons, Leon A, Sjöberg, Agneta, Sjöström, Michael, Skodje, Gry, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemyslaw, Smeeth, Liam, So, Hung-Kwan, Soares, Fernanda Cunha, Sobek, Grzegorz, Sobngwi, Eugène, Sodemann, Morten, Söderberg, Stefan, Soekatri, Moesijanti YE, Soemantri, Agustinus, Sofat, Reecha, Solfrizzi, Vincenzo, Somi, Mohammad Hossein, Sonestedt, Emily, Song, Yi, Sørensen, Thorkild IA, Sørgjerd, Elin P, Jérome, Charles Sossa, Soto-Rojas, Victoria E, Soumaré, Aïcha, Sovic, Slavica, Sparboe-Nilsen, Bente, Sparrenberger, Karen, Spinelli, Angela, Spiroski, Igor, Staessen, Jan A, Stamm, Hanspeter, Stathopoulou, Maria G, Staub, Kaspar, Stavreski, Bill, Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D, Stergiou, George S, Stessman, Jochanan, Stevanovic, Ranko, Stieber, Jutta, Stöckl, Doris, Stocks, Tanja, Stokwiszewski, Jakub, Stoyanova, Ekaterina, Stratton, Gareth, Stronks, Karien, Strufaldi, Maria Wany, Sturua, Lela, Suárez-Medina, Ramón, Suka, Machi, Sun, Chien-An, Sundström, Johan, Sung, Yn-Tz, Sunyer, Jordi, Suriyawongpaisal, Paibul, Swinburn, Boyd A, Sy, Rody G, Syddall, Holly E, Sylva, René Charles, Szklo, Moyses, Szponar, Lucjan, Tai, E Shyong, Tammesoo, Mari-Liis, Tamosiunas, Abdonas, Tan, Eng Joo, Tang, Xun, Tanrygulyyeva, Maya, Tanser, Frank, Tao, Yong, Tarawneh, Mohammed Rasoul, Tarp, Jakob, Tarqui-Mamani, Carolina B, Braunerová, Radka Taxová, Taylor, Anne, Taylor, Julie, Tchibindat, Félicité, Tebar, William R, Tell, Grethe S, Tello, Tania, Tham, Yih Chung, Thankappan, KR, Theobald, Holger, Theodoridis, Xenophon, Thijs, Lutgarde, Thomas, Nihal, Thuesen, Betina H, Tichá, Lubica, Timmermans, Erik J, Tjonneland, Anne, Tolonen, Hanna K, Tolstrup, Janne S, Topbas, Murat, Topór-Madry, Roman, Torheim, Liv Elin, Tormo, María José, Tornaritis, Michael J, Torrent, Maties, Torres-Collado, Laura, Toselli, Stefania, Touloumi, Giota, Traissac, Pierre, Tran, Thi Tuyet-Hanh, Trichopoulos, Dimitrios, Trichopoulou, Antonia, Trinh, Oanh TH, Trivedi, Atul, Tshepo, Lechaba, Tsigga, Maria, Tsugane, Shoichiro, Tuliakova, Azaliia M, Tulloch-Reid, Marshall K, Tullu, Fikru, Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Turley, Maria L, Twig, Gilad, Tynelius, Per, Tzotzas, Themistoklis, Tzourio, Christophe, Ueda, Peter, Ugel, Eunice, Ukoli, Flora AM, Ulmer, Hanno, Unal, Belgin, Usupova, Zhamyila, Uusitalo, Hannu MT, Uysal, Nalan, Vaitkeviciute, Justina, Valdivia, Gonzalo, Vale, Susana, Valvi, Damaskini, Van Dam, Rob M, Van Der Heyden, Johan, Van Der Schouw, Yvonne T, Van Herck, Koen, Van Minh, Hoang, Van Schoor, Natasja M, Van Valkengoed, Irene GM, Vanderschueren, Dirk, Vanuzzo, Diego, Varbo, Anette, Varela-Moreiras, Gregorio, Varona-Pérez, Patricia, Vasan, Senthil K, Vega, Tomas, Veidebaum, Toomas, Velasquez-Melendez, Gustavo, Velika, Biruta, Veronesi, Giovanni, Verschuren, WM Monique, Victora, Cesar G, Viegi, Giovanni, Viet, Lucie, Villalpando, Salvador, Vineis, Paolo, Vioque, Jesus, Virtanen, Jyrki K, Visser, Marjolein, Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vladulescu, Mihaela, Vlasoff, Tiina, Vocanec, Dorja, Vollenweider, Peter, Völzke, Henry, Voutilainen, Ari, Voutilainen, Sari, Vrijheid, Martine, Vrijkotte, Tanja GM, Wade, Alisha N, Wagner, Aline, Waldhör, Thomas, Walton, Janette, Wambiya, Elvis OA, Bebakar, Wan Mohamad Wan, Mohamud, Wan Nazaimoon Wan, De Souza Wanderley Júnior, Rildo, Wang, Ming-Dong, Wang, Ningli, Wang, Qian, Wang, Xiangjun, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S Goya, Wareham, Nicholas, Weber, Adelheid, Wedderkopp, Niels, Weerasekera, Deepa, Weghuber, Daniel, Wei, Wenbin, Weres, Aneta, Werner, Bo, Whincup, Peter H, Widhalm, Kurt, Widyahening, Indah S, Wiecek, Andrzej, Wilks, Rainford J, Willeit, Johann, Willeit, Peter, Williams, Julianne, Wilsgaard, Tom, Wojtyniak, Bogdan, Wong-McClure, Roy A, Wong, Andrew, Wong, Jyh Eiin, Wong, Tien Yin, Woo, Jean, Woodward, Mark, Wu, Frederick C, Wu, Jianfeng, Wu, Li Juan, Wu, Shouling, Xu, Haiquan, Xu, Liang, Yaacob, Nor Azwany, Yamborisut, Uruwan, Yan, Weili, Yang, Ling, Yang, Xiaoguang, Yang, Yang, Yardim, Nazan, Yaseri, Mehdi, Yasuharu, Tabara, Ye, Xingwang, Yiallouros, Panayiotis K, Yoosefi, Moein, Yoshihara, Akihiro, You, Qi Sheng, You, San-Lin, Younger-Coleman, Novie O, Md Yusof, Safiah, Yusoff, Ahmad Faudzi, Zaccagni, Luciana, Zafiropulos, Vassilis, Zainuddin, Ahmad A, Zakavi, Seyed Rasoul, Zamani, Farhad, Zambon, Sabina, Zampelas, Antonis, Zamrazilová, Hana, Zapata, Maria Elisa, Zargar, Abdul Hamid, Ko Zaw, Ko, Zdrojewski, Tomasz, Zejglicova, Kristyna, Vrkic, Tajana Zeljkovic, Zeng, Yi, Zhang, Luxia, Zhang, Zhen-Yu, Zhao, Dong, Zhao, Ming-Hui, Zhao, Wenhua, Zhen, Shiqi, Zheng, Wei, Zheng, Yingfeng, Zholdin, Bekbolat, Zhou, Maigeng, Zhu, Dan, Zins, Marie, Zitt, Emanuel, Zocalo, Yanina, Cisneros, Julio Zuñiga, Zuziak, Monika, Ezzati, Majid, and Filippi, Sarah

Subjects
2. Zero hunger, obesity, BMI, Epidemiology and Global Health, underweight, None, 1. No poverty, 3. Good health, Research Article
Abstract

Funder: Wellcome Trust; FundRef: http://dx.doi.org/10.13039/100004440, Funder: Medical Research Council; FundRef: http://dx.doi.org/10.13039/501100000265, From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions.

37. Additional file 5: of Quantification of the smoking-associated cancer risk with rate advancement periods: meta-analysis of individual participant data from cohorts of the CHANCES consortium

Author

Ordóñez-Mena, José, Schöttker, Ben, Mons, Ute, Mazda Jenab, Freisling, Heinz, Bueno-De-Mesquita, Bas, O’Doherty, Mark, Scott, Angela, Kee, Frank, Stricker, Bruno, Hofman, Albert, Keyser, Catherine De, Rikje Ruiter, Söderberg, Stefan, Jousilahti, Pekka, Kuulasmaa, Kari, Freedman, Neal, Wilsgaard, Tom, Groot, Lisette De, Kampman, Ellen, Håkansson, Niclas, Orsini, Nicola, Wolk, Alicja, Nilsson, Lena, Tjønneland, Anne, Pająk, Andrzej, Malyutina, Sofia, Růžena Kubínová, Abdonas Tamosiunas, Bobak, Martin, Katsoulis, Michail, Orfanos, Philippos, Boffetta, Paolo, Trichopoulou, Antonia, and Brenner, Hermann

Subjects
3. Good health
Abstract

Associations of smoking intensity and duration with total and digestive tract cancer incidence and mortality (Table S5). (DOC 88 kb)

38. Additional file 2: of Quantification of the smoking-associated cancer risk with rate advancement periods: meta-analysis of individual participant data from cohorts of the CHANCES consortium

Author

Ordóñez-Mena, José, Schöttker, Ben, Mons, Ute, Mazda Jenab, Freisling, Heinz, Bueno-De-Mesquita, Bas, O’Doherty, Mark, Scott, Angela, Kee, Frank, Stricker, Bruno, Hofman, Albert, Keyser, Catherine De, Rikje Ruiter, Söderberg, Stefan, Jousilahti, Pekka, Kuulasmaa, Kari, Freedman, Neal, Wilsgaard, Tom, Groot, Lisette De, Kampman, Ellen, Håkansson, Niclas, Orsini, Nicola, Wolk, Alicja, Nilsson, Lena, Tjønneland, Anne, Pająk, Andrzej, Malyutina, Sofia, Růžena Kubínová, Abdonas Tamosiunas, Bobak, Martin, Katsoulis, Michail, Orfanos, Philippos, Boffetta, Paolo, Trichopoulou, Antonia, and Brenner, Hermann

Subjects
3. Good health
Abstract

Associations of smoking intensity and duration with total and respiratory (DOC 89 kb)

39. Additional file 4: of Quantification of the smoking-associated cancer risk with rate advancement periods: meta-analysis of individual participant data from cohorts of the CHANCES consortium

Author

Ordóñez-Mena, José, Schöttker, Ben, Mons, Ute, Mazda Jenab, Freisling, Heinz, Bueno-De-Mesquita, Bas, O’Doherty, Mark, Scott, Angela, Kee, Frank, Stricker, Bruno, Hofman, Albert, Keyser, Catherine De, Rikje Ruiter, Söderberg, Stefan, Jousilahti, Pekka, Kuulasmaa, Kari, Freedman, Neal, Wilsgaard, Tom, Groot, Lisette De, Kampman, Ellen, Håkansson, Niclas, Orsini, Nicola, Wolk, Alicja, Nilsson, Lena, Tjønneland, Anne, Pająk, Andrzej, Malyutina, Sofia, Růžena Kubínová, Abdonas Tamosiunas, Bobak, Martin, Katsoulis, Michail, Orfanos, Philippos, Boffetta, Paolo, Trichopoulou, Antonia, and Brenner, Hermann

Subjects
3. Good health
Abstract

Stratification of meta-analyses and reassessment of heterogeneity for the association of smoking status with lung cancer incidence and mortality according to the general cohort characteristics (Table S4). (DOC 79 kb)

40. Additional file 3: of Quantification of the smoking-associated cancer risk with rate advancement periods: meta-analysis of individual participant data from cohorts of the CHANCES consortium

Author

Ordóñez-Mena, José, Schöttker, Ben, Mons, Ute, Mazda Jenab, Freisling, Heinz, Bueno-De-Mesquita, Bas, O’Doherty, Mark, Scott, Angela, Kee, Frank, Stricker, Bruno, Hofman, Albert, Keyser, Catherine De, Rikje Ruiter, Söderberg, Stefan, Jousilahti, Pekka, Kuulasmaa, Kari, Freedman, Neal, Wilsgaard, Tom, Groot, Lisette De, Kampman, Ellen, Håkansson, Niclas, Orsini, Nicola, Wolk, Alicja, Nilsson, Lena, Tjønneland, Anne, Pająk, Andrzej, Malyutina, Sofia, Růžena Kubínová, Abdonas Tamosiunas, Bobak, Martin, Katsoulis, Michail, Orfanos, Philippos, Boffetta, Paolo, Trichopoulou, Antonia, and Brenner, Hermann

Subjects
3. Good health
Abstract

Stratification of meta-analyses and reassessment of heterogeneity for the association of smoking status with total cancer incidence and mortality according to the general cohort characteristics (Table S3). (DOC 82 kb)

41. Additional file 1 of Association of glycated hemoglobin A1c levels with cardiovascular outcomes in the general population: results from the BiomarCaRE (Biomarker for Cardiovascular Risk Assessment in Europe) consortium

Author

Sinning, Christoph, Makarova, Nataliya, Völzke, Henry, Schnabel, Renate B., Ojeda, Francisco, Dörr, Marcus, Felix, Stephan B., Koenig, Wolfgang, Peters, Annette, Rathmann, Wolfgang, Schöttker, Ben, Brenner, Hermann, Veronesi, Giovanni, Cesana, Giancarlo, Brambilla, Paolo, Palosaari, Tarja, Kuulasmaa, Kari, Njølstad, Inger, Mathiesen, Ellisiv Bøgeberg, Wilsgaard, Tom, Blankenberg, Stefan, Söderberg, Stefan, Ferrario, Marco M., and Thorand, Barbara

Subjects
ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, ComputingMilieux_COMPUTERSANDEDUCATION, Data_FILES, ComputerApplications_COMPUTERSINOTHERSYSTEMS, 3. Good health
Abstract

Additional file 1. Online supplementary material.

42. Additional file 2: of Quantification of the smoking-associated cancer risk with rate advancement periods: meta-analysis of individual participant data from cohorts of the CHANCES consortium

Author

Ordóñez-Mena, José, Schöttker, Ben, Mons, Ute, Mazda Jenab, Freisling, Heinz, Bueno-De-Mesquita, Bas, O’Doherty, Mark, Scott, Angela, Kee, Frank, Stricker, Bruno, Hofman, Albert, Keyser, Catherine De, Rikje Ruiter, Söderberg, Stefan, Jousilahti, Pekka, Kuulasmaa, Kari, Freedman, Neal, Wilsgaard, Tom, Groot, Lisette De, Kampman, Ellen, Håkansson, Niclas, Orsini, Nicola, Wolk, Alicja, Nilsson, Lena, Tjønneland, Anne, Pająk, Andrzej, Malyutina, Sofia, Růžena Kubínová, Abdonas Tamosiunas, Bobak, Martin, Katsoulis, Michail, Orfanos, Philippos, Boffetta, Paolo, Trichopoulou, Antonia, and Brenner, Hermann

Subjects
3. Good health
Abstract

Associations of smoking intensity and duration with total and respiratory (DOC 89 kb)

43. Additional file 6: of Quantification of the smoking-associated cancer risk with rate advancement periods: meta-analysis of individual participant data from cohorts of the CHANCES consortium

Author

Ordóñez-Mena, José, Schöttker, Ben, Mons, Ute, Mazda Jenab, Freisling, Heinz, Bueno-De-Mesquita, Bas, O’Doherty, Mark, Scott, Angela, Kee, Frank, Stricker, Bruno, Hofman, Albert, Keyser, Catherine De, Rikje Ruiter, Söderberg, Stefan, Jousilahti, Pekka, Kuulasmaa, Kari, Freedman, Neal, Wilsgaard, Tom, Groot, Lisette De, Kampman, Ellen, Håkansson, Niclas, Orsini, Nicola, Wolk, Alicja, Nilsson, Lena, Tjønneland, Anne, Pająk, Andrzej, Malyutina, Sofia, Růžena Kubínová, Abdonas Tamosiunas, Bobak, Martin, Katsoulis, Michail, Orfanos, Philippos, Boffetta, Paolo, Trichopoulou, Antonia, and Brenner, Hermann

Subjects
3. Good health
Abstract

Associations of smoking intensity and duration with sex-specific cancer incidence and mortality (Table S6). (DOC 70 kb)

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