51
|
Kim GR, Netuveli G, Blane D, Peasey A, Malyutina S, Simonova G, Kubinova R, Pajak A, Croezen S, Bobak M, Pikhart H. Psychometric properties and confirmatory factor analysis of the CASP-19, a measure of quality of life in early old age: the HAPIEE study. Aging Ment Health 2015; 19:595-609. [PMID: 25059754 PMCID: PMC4396435 DOI: 10.1080/13607863.2014.938605] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
OBJECTIVES The aim was to assess the reliability and validity of the quality of life (QoL) instrument CASP-19, and three shorter versions of CASP-12 in large population sample of older adults from the HAPIEE (Health, Alcohol, and Psychosocial factors In Eastern Europe) study. METHODS From the Czech Republic, Russia, and Poland, 13,210 HAPIEE participants aged 50 or older completed the retirement questionnaire including CASP-19 at baseline. Three shorter 12-item versions were also derived from original 19-item instrument. Psychometric validation used confirmatory factor analysis, Cronbach's alpha, Pearson's correlation, and construct validity. RESULTS The second-order four-factor model of CASP-19 did not provide a good fit to the data. Two-factor CASP-12v.3 including residual covariances for negative items to account for the method effect of negative items had the best fit to the data in all countries (CFI = 0.98, TLI = 0.97, RMSEA = 0.05, and WRMR = 1.65 in the Czech Republic; 0.96, 0.94, 0.07, and 2.70 in Poland; and 0.93, 0.90, 0.08, and 3.04 in Russia). Goodness-of-fit indices for the two-factor structure were substantially better than second-order models. CONCLUSIONS This large population-based study is the first validation study of CASP scale in Central and Eastern Europe (CEE), which includes a general population sample in Russia, Poland, and the Czech Republic. The results of this study have demonstrated that the CASP-12v.3 is a valid and reliable tool for assessing QoL among adults aged 50 years or older. This version of CASP is recommended for use in future studies investigating QoL in the CEE populations.
Collapse
Affiliation(s)
- Gyu Ri Kim
- Department of Epidemiology and Public Health, University College London, London, UK
| | | | - David Blane
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Anne Peasey
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Sofia Malyutina
- Institute of Internal and Preventive Medicine, Siberian Branch under the Russian Academy of Medical Sciences, Novosibirsk, Russia,Novosibirsk State Medical University, Novosibirsk, Russia
| | - Galina Simonova
- Institute of Internal and Preventive Medicine, Siberian Branch under the Russian Academy of Medical Sciences, Novosibirsk, Russia
| | - Ruzena Kubinova
- Environmental Health Monitoring System, National Institute of Public Health, Prague, Czech Republic
| | - Andrzej Pajak
- Department of Epidemiology and Population Sciences, Faculty of Health Sciences, Institute of Public Health, Jagiellonian University Medical College, Krakow, Poland
| | - Simone Croezen
- Department of Epidemiology and Public Health, University College London, London, UK,Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Martin Bobak
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Hynek Pikhart
- Department of Epidemiology and Public Health, University College London, London, UK,Corresponding author.
| |
Collapse
|
52
|
Stefler D, Pikhart H, Kubinova R, Pajak A, Stepaniak U, Malyutina S, Simonova G, Peasey A, Marmot MG, Bobak M. Fruit and vegetable consumption and mortality in Eastern Europe: Longitudinal results from the Health, Alcohol and Psychosocial Factors in Eastern Europe study. Eur J Prev Cardiol 2015; 23:493-501. [PMID: 25903971 PMCID: PMC4767146 DOI: 10.1177/2047487315582320] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2014] [Accepted: 03/27/2015] [Indexed: 12/14/2022]
Abstract
BACKGROUND It is estimated that disease burden due to low fruit and vegetable consumption is higher in Central and Eastern Europe (CEE) and the former Soviet Union (FSU) than any other parts of the world. However, no large scale studies have investigated the association between fruit and vegetable (F&V) intake and mortality in these regions yet. DESIGN The Health, Alcohol and Psychosocial Factors in Eastern Europe (HAPIEE) study is a prospective cohort study with participants recruited from the Czech Republic, Poland and Russia. METHODS Dietary data was collected using food frequency questionnaire. Mortality data was ascertained through linkage with death registers. Multivariable adjusted hazard ratios were calculated by Cox regression models. RESULTS Among 19,333 disease-free participants at baseline, 1314 died over the mean follow-up of 7.1 years. After multivariable adjustment, we found statistically significant inverse association between cohort-specific quartiles of F&V intake and stroke mortality: the highest vs lowest quartile hazard ratio (HR) was 0.52 (95% confidence interval (CI): 0.28-0.98). For total mortality, significant interaction (p = 0.008) between F&V intake and smoking was found. The associations were statistically significant in smokers, with HR 0.70 (0.53-0.91, p for trend: 0.011) for total mortality, and 0.62 (0.40-0.97, p for trend: 0.037) for cardiovascular disease (CVD) mortality. The association was appeared to be mediated by blood pressure, and F&V intake explained a considerable proportion of the mortality differences between the Czech and Russian cohorts. CONCLUSIONS Our results suggest that increasing F&V intake may reduce CVD mortality in CEE and FSU, particularly among smokers and hypertensive individuals.
Collapse
Affiliation(s)
- Denes Stefler
- Department of Epidemiology and Public Health, University College London, UK
| | - Hynek Pikhart
- Department of Epidemiology and Public Health, University College London, UK
| | - Ruzena Kubinova
- Centre for Health Monitoring, National Institute of Public Health, Czech Republic
| | - Andrzej Pajak
- Department of Epidemiology and Population Sciences, Jagiellonian University, Poland
| | - Urszula Stepaniak
- Department of Epidemiology and Population Sciences, Jagiellonian University, Poland
| | - Sofia Malyutina
- Institute of Internal and Preventive Medicine, Siberian Branch of the Russian Academy of Medical Sciences, Russia Novosibirsk State Medical University, Russia
| | - Galina Simonova
- Institute of Internal and Preventive Medicine, Siberian Branch of the Russian Academy of Medical Sciences, Russia
| | - Anne Peasey
- Department of Epidemiology and Public Health, University College London, UK
| | - Michael G Marmot
- Department of Epidemiology and Public Health, University College London, UK
| | - Martin Bobak
- Department of Epidemiology and Public Health, University College London, UK
| |
Collapse
|
53
|
Stepaniak U, Micek A, Grosso G, Stefler D, Topor-Madry R, Kubinova R, Malyutina S, Peasey A, Pikhart H, Nikitin Y, Bobak M, Pająk A. Antioxidant vitamin intake and mortality in three Central and Eastern European urban populations: the HAPIEE study. Eur J Nutr 2015; 55:547-560. [PMID: 25762013 PMCID: PMC4767874 DOI: 10.1007/s00394-015-0871-8] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2014] [Accepted: 03/02/2015] [Indexed: 01/11/2023]
Abstract
PURPOSE The aim of the study was to assess the relationships between individual-level dietary intakes of antioxidant vitamins C, E and beta-carotene with all-cause and cause-specific mortality in three Central and Eastern European (CEE) populations. METHODS Data from the Health, Alcohol and Psychosocial factors in Eastern Europe cohort study were used. At the baseline survey, between 2002 and 2005, 28,945 men and women aged 45-69 years were examined in Novosibirsk (Russia), Krakow (Poland) and seven Czech towns. Deaths in the cohorts were identified through mortality registers. Cox regression was used to estimate the association between vitamin consumption and all-cause, cardiovascular (CVD) disease and cancer mortality. RESULTS In multivariable-adjusted analyses, there were no clear inverse associations between antioxidant vitamin intakes and mortality, although in some groups, several hazard ratios (HRs) were significant. For example, in men, compared with the lowest quintile of vitamin C intake, all-cause mortality in the third and fourth quintiles was lower by 28 % (HR 0.72; 95 % CI 0.61-0.85) and by 20 % (HR 0.80; 95 % CI 0.68-0.95), respectively. CVD mortality was lower by 35 % (HR 0.65; 95 % CI 0.50-0.84) and by 23 % (HR 0.77; 95 % CI 0.59-0.99) in third and fourth quintile of vitamin C intake, respectively. In women, the third and fourth quintiles of dietary intake of vitamin E were associated with reduced risk of all-cause death by 33 % (HR 0.67; 95 % CI 0.53-0.84) and by 23 % (HR 0.77; 95 % CI 0.61-0.97), respectively. Consumption of vitamin C, vitamin E and beta-carotene was not related to CVD mortality in women and to cancer mortality in either gender. CONCLUSION This large prospective cohort study in CEE populations with low prevalence of vitamin supplementation did not find a strong, dose-response evidence for protective effects of antioxidant vitamin intake.
Collapse
Affiliation(s)
- Urszula Stepaniak
- Department of Epidemiology and Population Studies, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, Grzegorzecka Street 20, Krakow, 31-531, Poland.
| | - Agnieszka Micek
- Department of Epidemiology and Population Studies, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, Grzegorzecka Street 20, Krakow, 31-531, Poland
| | - Giuseppe Grosso
- Department of Clinical and Molecular Biomedicine, Section of Pharmacology and Biochemistry, University of Catania, Catania, Italy
| | - Denes Stefler
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Roman Topor-Madry
- Department of Epidemiology and Population Studies, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, Grzegorzecka Street 20, Krakow, 31-531, Poland
| | | | - Sofia Malyutina
- Institute of Internal and Preventive Medicine Siberian Branch Under the Russian Academy of Medical Sciences, Novosibirsk, Russia.,Novosibirsk State Medical University, Novosibirsk, Russia
| | - Anne Peasey
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Hynek Pikhart
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Yuri Nikitin
- Institute of Internal and Preventive Medicine Siberian Branch Under the Russian Academy of Medical Sciences, Novosibirsk, Russia
| | - Martin Bobak
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Andrzej Pająk
- Department of Epidemiology and Population Studies, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, Grzegorzecka Street 20, Krakow, 31-531, Poland
| |
Collapse
|
54
|
Swerdlow DI, Preiss D, Kuchenbaecker KB, Holmes MV, Engmann JEL, Shah T, Sofat R, Stender S, Johnson PCD, Scott RA, Leusink M, Verweij N, Sharp SJ, Guo Y, Giambartolomei C, Chung C, Peasey A, Amuzu A, Li K, Palmen J, Howard P, Cooper JA, Drenos F, Li YR, Lowe G, Gallacher J, Stewart MCW, Tzoulaki I, Buxbaum SG, van der A DL, Forouhi NG, Onland-Moret NC, van der Schouw YT, Schnabel RB, Hubacek JA, Kubinova R, Baceviciene M, Tamosiunas A, Pajak A, Topor-Madry R, Stepaniak U, Malyutina S, Baldassarre D, Sennblad B, Tremoli E, de Faire U, Veglia F, Ford I, Jukema JW, Westendorp RGJ, de Borst GJ, de Jong PA, Algra A, Spiering W, Maitland-van der Zee AH, Klungel OH, de Boer A, Doevendans PA, Eaton CB, Robinson JG, Duggan D, Kjekshus J, Downs JR, Gotto AM, Keech AC, Marchioli R, Tognoni G, Sever PS, Poulter NR, Waters DD, Pedersen TR, Amarenco P, Nakamura H, McMurray JJV, Lewsey JD, Chasman DI, Ridker PM, Maggioni AP, Tavazzi L, Ray KK, Seshasai SRK, Manson JE, Price JF, Whincup PH, Morris RW, Lawlor DA, Smith GD, Ben-Shlomo Y, Schreiner PJ, Fornage M, Siscovick DS, Cushman M, Kumari M, Wareham NJ, Verschuren WMM, Redline S, Patel SR, Whittaker JC, Hamsten A, Delaney JA, Dale C, Gaunt TR, Wong A, Kuh D, Hardy R, Kathiresan S, Castillo BA, van der Harst P, Brunner EJ, Tybjaerg-Hansen A, Marmot MG, Krauss RM, Tsai M, Coresh J, Hoogeveen RC, Psaty BM, Lange LA, Hakonarson H, Dudbridge F, Humphries SE, Talmud PJ, Kivimäki M, Timpson NJ, Langenberg C, Asselbergs FW, Voevoda M, Bobak M, Pikhart H, Wilson JG, Reiner AP, Keating BJ, Hingorani AD, Sattar N. HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials. Lancet 2015; 385:351-61. [PMID: 25262344 PMCID: PMC4322187 DOI: 10.1016/s0140-6736(14)61183-1] [Citation(s) in RCA: 462] [Impact Index Per Article: 51.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND Statins increase the risk of new-onset type 2 diabetes mellitus. We aimed to assess whether this increase in risk is a consequence of inhibition of 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR), the intended drug target. METHODS We used single nucleotide polymorphisms in the HMGCR gene, rs17238484 (for the main analysis) and rs12916 (for a subsidiary analysis) as proxies for HMGCR inhibition by statins. We examined associations of these variants with plasma lipid, glucose, and insulin concentrations; bodyweight; waist circumference; and prevalent and incident type 2 diabetes. Study-specific effect estimates per copy of each LDL-lowering allele were pooled by meta-analysis. These findings were compared with a meta-analysis of new-onset type 2 diabetes and bodyweight change data from randomised trials of statin drugs. The effects of statins in each randomised trial were assessed using meta-analysis. FINDINGS Data were available for up to 223 463 individuals from 43 genetic studies. Each additional rs17238484-G allele was associated with a mean 0·06 mmol/L (95% CI 0·05-0·07) lower LDL cholesterol and higher body weight (0·30 kg, 0·18-0·43), waist circumference (0·32 cm, 0·16-0·47), plasma insulin concentration (1·62%, 0·53-2·72), and plasma glucose concentration (0·23%, 0·02-0·44). The rs12916 SNP had similar effects on LDL cholesterol, bodyweight, and waist circumference. The rs17238484-G allele seemed to be associated with higher risk of type 2 diabetes (odds ratio [OR] per allele 1·02, 95% CI 1·00-1·05); the rs12916-T allele association was consistent (1·06, 1·03-1·09). In 129 170 individuals in randomised trials, statins lowered LDL cholesterol by 0·92 mmol/L (95% CI 0·18-1·67) at 1-year of follow-up, increased bodyweight by 0·24 kg (95% CI 0·10-0·38 in all trials; 0·33 kg, 95% CI 0·24-0·42 in placebo or standard care controlled trials and -0·15 kg, 95% CI -0·39 to 0·08 in intensive-dose vs moderate-dose trials) at a mean of 4·2 years (range 1·9-6·7) of follow-up, and increased the odds of new-onset type 2 diabetes (OR 1·12, 95% CI 1·06-1·18 in all trials; 1·11, 95% CI 1·03-1·20 in placebo or standard care controlled trials and 1·12, 95% CI 1·04-1·22 in intensive-dose vs moderate dose trials). INTERPRETATION The increased risk of type 2 diabetes noted with statins is at least partially explained by HMGCR inhibition. FUNDING The funding sources are cited at the end of the paper.
Collapse
Affiliation(s)
- Daniel I Swerdlow
- UCL Institute of Cardiovascular Science and Farr Institute, University College London, London, UK.
| | - David Preiss
- BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK.
| | - Karoline B Kuchenbaecker
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Department of Surgery, Division of Transplantation, and Clinical Epidemiology Unit, Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Michael V Holmes
- UCL Institute of Cardiovascular Science and Farr Institute, University College London, London, UK
| | - Jorgen E L Engmann
- UCL Institute of Cardiovascular Science and Farr Institute, University College London, London, UK
| | - Tina Shah
- UCL Institute of Cardiovascular Science and Farr Institute, University College London, London, UK
| | - Reecha Sofat
- UCL Department of Medicine, University College London, London, UK
| | - Stefan Stender
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Paul C D Johnson
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - Robert A Scott
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
| | - Maarten Leusink
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, Netherlands
| | - Niek Verweij
- University of Groningen, University Medical Centre Groningen, Department of Cardiology, Groningen, Netherlands
| | - Stephen J Sharp
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
| | - Yiran Guo
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | - Christina Chung
- UCL Research Department of Epidemiology and Public Health, University College London, London, UK
| | - Anne Peasey
- UCL Research Department of Epidemiology and Public Health, University College London, London, UK
| | | | - KaWah Li
- Centre for Cardiovascular Genetics, University College London, London, UK
| | - Jutta Palmen
- Centre for Cardiovascular Genetics, University College London, London, UK
| | - Philip Howard
- Centre for Cardiovascular Genetics, University College London, London, UK
| | - Jackie A Cooper
- Centre for Cardiovascular Genetics, University College London, London, UK
| | - Fotios Drenos
- Centre for Cardiovascular Genetics, University College London, London, UK
| | - Yun R Li
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Gordon Lowe
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - John Gallacher
- Department of Primary Care and Public Health, Cardiff University Medical School, Cardiff University, Cardiff, UK
| | - Marlene C W Stewart
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Ioanna Tzoulaki
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | | | - Daphne L van der A
- National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
| | - Renate B Schnabel
- University Heart Center Hamburg, Department of General and Interventional Cardiology, Hamburg, Germany
| | - Jaroslav A Hubacek
- Centre for Experimental Medicine, Institute of Clinical and Experimental Medicine, Prague, Czech Republic
| | | | | | | | - Andrzej Pajak
- Department of Epidemiology and Population Studies, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, Krakow, Poland
| | - Roman Topor-Madry
- Department of Epidemiology and Population Studies, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, Krakow, Poland
| | - Urszula Stepaniak
- Department of Epidemiology and Population Studies, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, Krakow, Poland
| | - Sofia Malyutina
- Institute of Internal and Preventive Medicine, Siberian Branch of Russian Academy of Medical Sciences, Novosibirsk, Russia
| | - Damiano Baldassarre
- Dipartimento di Scienze Farmacologiche e Biomolecolari, Università di Milano, Milan, Italy; Centro Cardiologico Monzino IRCCS Milan, Milan, Italy
| | - Bengt Sennblad
- Atherosclerosis Research Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden; Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden
| | - Elena Tremoli
- Dipartimento di Scienze Farmacologiche e Biomolecolari, Università di Milano, Milan, Italy; Centro Cardiologico Monzino IRCCS Milan, Milan, Italy
| | - Ulf de Faire
- Division of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | - Ian Ford
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, Netherlands
| | - Rudi G J Westendorp
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, Netherlands
| | - Gert Jan de Borst
- Department of Vascular Surgery, University Medical Center Utrecht, Utrecht, Netherlands
| | - Pim A de Jong
- Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Ale Algra
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands; Department of Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht, Netherlands
| | - Wilko Spiering
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, Netherlands
| | - Anke H Maitland-van der Zee
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, Netherlands
| | - Olaf H Klungel
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, Netherlands
| | - Anthonius de Boer
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, Netherlands
| | - Pieter A Doevendans
- Department of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht, Utrecht, Netherlands
| | | | | | - David Duggan
- Translational Genomics Research Institute, Phoenix, AZ, USA
| | - John Kjekshus
- Department of Cardiology, Oslo University Hospital Rikshospitalet, University of Oslo, Oslo, Norway
| | - John R Downs
- Department of Medicine, University of Texas Health Science Centre, San Antonio, TX, USA; VERDICT, South Texas Veterans Health Care System, San Antonio, TX, USA
| | | | - Anthony C Keech
- NHMRC Clinical Trials Centre, University of Sydney, Sydney, NSW, Australia
| | - Roberto Marchioli
- Hematology and Oncology Therapeutic Delivery Unit, Quintiles, Milan, Italy
| | - Gianni Tognoni
- Department of Clinical Pharmacology and Epidemiology, Consorzio Mario NegriSud, Santa Maria Imbaro, Chieti, Italy
| | - Peter S Sever
- International Centre for Circulatory Health, Imperial College London, London, UK
| | - Neil R Poulter
- International Centre for Circulatory Health, Imperial College London, London, UK
| | - David D Waters
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Terje R Pedersen
- Centre for Preventative Medicine, Oslo University Hospital Rikshospitalet, University of Oslo, Oslo, Norway
| | | | | | - John J V McMurray
- BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK
| | - James D Lewsey
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | | | | | | | - Luigi Tavazzi
- Maria Cecilia Hospital, GVM Care and Research, E.S. Health Science Foundation, Cotignola (RA), Italy
| | - Kausik K Ray
- Cardiac and Cell Sciences Research Institute, London, UK
| | | | | | - Jackie F Price
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | | | - Richard W Morris
- UCL Department of Primary Care and Population Health, University College London, London, UK
| | - Debbie A Lawlor
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Yoav Ben-Shlomo
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | | | - Myriam Fornage
- Institute of Molecular Medicine and Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - David S Siscovick
- Cardiovascular Health Research Unit of the Department of Medicine, Department of Epidemiology, and Department of Health Services, University of Washington, Seattle, WA, USA
| | - Mary Cushman
- Departments of Medicine and Pathology, University of Vermont, Colchester, VT, USA
| | - Meena Kumari
- UCL Research Department of Epidemiology and Public Health, University College London, London, UK
| | - Nick J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
| | | | - Susan Redline
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | | | - Anders Hamsten
- Atherosclerosis Research Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Joseph A Delaney
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Caroline Dale
- Department of Non-Communicable Disease Epidemiology, London, UK
| | - Tom R Gaunt
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Andrew Wong
- MRCUnit for Lifelong Health and Ageing, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Diana Kuh
- MRCUnit for Lifelong Health and Ageing, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Rebecca Hardy
- MRCUnit for Lifelong Health and Ageing, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Sekar Kathiresan
- Cardiology Division, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Berta A Castillo
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Pim van der Harst
- University of Groningen, University Medical Centre Groningen, Department of Cardiology, Groningen, Netherlands
| | - Eric J Brunner
- UCL Research Department of Epidemiology and Public Health, University College London, London, UK
| | - Anne Tybjaerg-Hansen
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Michael G Marmot
- UCL Research Department of Epidemiology and Public Health, University College London, London, UK
| | - Ronald M Krauss
- Children's Hospital Oakland Research Institute, Oakland, CA USA
| | | | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ronald C Hoogeveen
- Baylor College of Medicine, Department of Medicine, Division of Atherosclerosis and Vascular Medicine, Houston, TX, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit of the Department of Medicine, Department of Epidemiology, and Department of Health Services, University of Washington, Seattle, WA, USA
| | - Leslie A Lange
- Department of Genetics, University of North Carolina School of Medicine at Chapel Hill, Chapel Hill, NC, USA
| | - Hakon Hakonarson
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | - Steve E Humphries
- Centre for Cardiovascular Genetics, University College London, London, UK
| | - Philippa J Talmud
- Centre for Cardiovascular Genetics, University College London, London, UK
| | - Mika Kivimäki
- UCL Research Department of Epidemiology and Public Health, University College London, London, UK
| | - Nicholas J Timpson
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
| | - Folkert W Asselbergs
- UCL Institute of Cardiovascular Science and Farr Institute, University College London, London, UK; Department of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht, Utrecht, Netherlands; Durrer Center for Cardiogenetic Research, ICIN-Netherlands Heart Institute, Utrecht, Netherlands
| | - Mikhail Voevoda
- Institute of Internal and Preventive Medicine, Siberian Branch of Russian Academy of Medical Sciences, Novosibirsk, Russia; Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Medical Sciences, Novosibirsk, Russia
| | - Martin Bobak
- UCL Research Department of Epidemiology and Public Health, University College London, London, UK
| | - Hynek Pikhart
- UCL Research Department of Epidemiology and Public Health, University College London, London, UK
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, USA
| | - Alex P Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Brendan J Keating
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Aroon D Hingorani
- UCL Institute of Cardiovascular Science and Farr Institute, University College London, London, UK
| | - Naveed Sattar
- BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK
| |
Collapse
|
55
|
Hu Y, Pikhart H, Malyutina S, Pajak A, Kubinova R, Nikitin Y, Peasey A, Marmot M, Bobak M. Alcohol consumption and physical functioning among middle-aged and older adults in Central and Eastern Europe: results from the HAPIEE study. Age Ageing 2015; 44:84-9. [PMID: 24982097 PMCID: PMC4255613 DOI: 10.1093/ageing/afu083] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
Background: light-to-moderate drinking is apparently associated with a decreased risk of physical limitations in middle-aged and older adults. Objective: to investigate the association between alcohol consumption and physical limitations in Eastern European populations. Study design: a cross-sectional survey of 28,783 randomly selected residents (45–69 years) in Novosibirsk (Russia), Krakow (Poland) and seven towns of Czech Republic. Methods: physical limitations were defined as <75% of optimal physical functioning using the Physical Functioning (PF-10) Subscale of the Short-Form-36 questionnaire. Alcohol consumption was assessed by a graduated frequency questionnaire, and problem drinking was defined as ≥2 positive responses on the CAGE questionnaire. In the Russian sample, past drinking was also assessed. Results: the odds of physical limitations were highest among non-drinkers, decreased with increasing drinking frequency, annual consumption and average drinking quantity and were not associated with problem drinking. The adjusted odds ratio (OR) of physical limitations in non-drinkers versus regular moderate drinkers was 1.61 (95% confidence interval: 1.48–1.75). In the Russian sample with past drinking available, the adjusted OR in those who stopped drinking for health reasons versus continuing drinkers was 3.19 (2.58–3.95); ORs in lifetime abstainers, former drinkers for non-health reasons and reduced drinkers for health reasons were 1.27 (1.02–1.57), 1.48 (1.18–1.85) and 2.40 (2.05–2.81), respectively. Conclusion: this study found an inverse association between alcohol consumption and physical limitations. The high odds of physical limitations in non-drinkers can be largely explained by poor health of former drinkers. The apparently protective effect of heavier drinking was partly due to less healthy former heavy drinkers who moved to lower drinking categories.
Collapse
Affiliation(s)
- Yaoyue Hu
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Hynek Pikhart
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Sofia Malyutina
- Institute of Internal and Preventive Medicine, Siberian Branch of the Russian Academy of Medical Sciences, Novosibirsk, Russian Federation Novosibirsk State Medical University, Novosibirsk, Russian Federation
| | - Andrzej Pajak
- Collegium Medicum, Jagiellonian University, Krakow, Poland
| | | | - Yuri Nikitin
- Institute of Internal and Preventive Medicine, Siberian Branch of the Russian Academy of Medical Sciences, Novosibirsk, Russian Federation
| | - Anne Peasey
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Michael Marmot
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Martin Bobak
- Department of Epidemiology and Public Health, University College London, London, UK
| |
Collapse
|
56
|
Nikitin YP, Makarenkova KV, Malyutina SK, Pajak A, Kubinova R, Peasey A, Bobak M. [Blood Lipid Parameters In Populations of Russia, Poland And Czech Republic: The Hapiee Study]. Kardiologiia 2015; 55:34-39. [PMID: 26615622 DOI: 10.18565/cardio.2015.5.34-39] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
PURPOSE to analyze population values of blood lipid parameters in general populations of Russia, Poland and Czech Republic. MATERIALS AND METHODS In the frame of international project HAPIEE representative samples of general population were examined in Novosibirsk (Russia), Krakow (Poland) and six centers in the Czech Republic. The analysis included data of 25,469 men and women aged 45-69 years old. RESULTS The average levels of total cholesterol (TC), non-high density lipoprotein cholesterol (non-HDL-C) and low density lipoprotein cholesterol (LDL-C) were found relatively high in all centers, though average levels of blood triglycerides (TG) and high-density lipoprotein (HDL) were within "normal" range. In Novosibirsk mean levels of blood TC and LDL-C in persons of both sexes were obtained the highest among the study participants: 6.3 mmol/ and 4.1 mmol/l, respectively (p < 0.001). But the level of blood triglycerides (1.5 mmol/l) in Novosibirsk was the lowest, and HDL-C (1.5 mmol/l) was the highest among three centres. There were clear trend of increasing concentration of blood TC, non-HDL-C,LDL-C and blood atherogenic indexes with increasing age in both sexes of all participating countries. In Czech Republic levels of blood TC, LDL-C, HDL-C in both sexes were relatively low: 5.7 mmol/l, 3.5 mmol/l, 1.4 mmol/l, respectively, but the level of blood TG were higher, than in other centers (1.9 mmol/l). Women of all centers had more demonstrative age changes of the blood lipid profile, than men. CONCLUSIONS The average levels of blood TC, non-HDL-C and LDL-C in men and women aged 45-69 years old in Russia (Novosibirsk) were higher and level of blood TG was lower than in Poland and the Czech Republic.
Collapse
|
57
|
Horvat P, Richards M, Kubinova R, Pajak A, Malyutina S, Shishkin S, Pikhart H, Peasey A, Marmot MG, Singh-Manoux A, Bobak M. Alcohol consumption, drinking patterns, and cognitive function in older Eastern European adults. Neurology 2014; 84:287-95. [PMID: 25503981 PMCID: PMC4335999 DOI: 10.1212/wnl.0000000000001164] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Objective: To investigate associations of frequency, quantity, binge, and problem drinking with cognitive function in older Eastern European adults. Methods: The investigation included 14,575 participants, aged 47 to 78 years at cognitive assessment in 2006–2008 from Novosibirsk (Russia), Krakow (Poland), and 6 Czech towns participating in the HAPIEE (Health, Alcohol, and Psychosocial Factors in Eastern Europe) prospective cohort study. Average response rates were 59% at baseline (2002–2005) and 63% in 2006–2008. Alcohol consumption was assessed at baseline and in 2006–2008. Cognitive tests included immediate and delayed word recall, semantic fluency (animal naming), and letter cancellation. Associations between alcohol indices and cognitive scores were analyzed cross-sectionally (all measures from 2006 to 2008) and prospectively (alcohol and covariates from 2002 to 2005 and cognition from 2006 to 2008). Results: In cross-sectional analyses, nondrinkers had lower cognitive scores and female moderate drinkers had better cognitive performance than light drinkers. Heavy, binge, and problem drinking were not consistently associated with cognitive function. Few associations were replicated in prospective analyses. Participants who stopped drinking during follow-up had worse cognition than stable drinkers; in men, regression coefficients (95% confidence interval) ranged from −0.26 (−0.36, −0.16) for immediate recall to −0.14 (−0.24, −0.04) for fluency. Conclusion: Regular and episodic heavy drinking were not consistently associated with cognitive function. Worse cognition in participants who stopped drinking during follow-up suggests that inclusion of less healthy ex-drinkers may partly explain poorer cognition in nondrinkers.
Collapse
Affiliation(s)
- Pia Horvat
- From the Department of Epidemiology & Public Health (P.H., H.P., A. Peasey, M.G.M., A.S.-M., M.B.), and MRC Unit for Lifelong Health and Ageing at UCL (M.R.), University College London, UK; National Institute of Public Health (R.K.), Prague, Czech Republic; Department of Epidemiology and Population Studies (A. Pajak), Jagellonian University Collegium Medicum, Krakow, Poland; Institute of Internal and Preventive Medicine Siberian Branch under the Russian Academy of Medical Sciences (S.M., S.S.), Novosibirsk; Novosibirsk State Medical University (S.M.), Novosibirsk, Russia; and INSERM (A.S.-M.), U1018, Hopital Paul Brousse, Villejuif, France.
| | - Marcus Richards
- From the Department of Epidemiology & Public Health (P.H., H.P., A. Peasey, M.G.M., A.S.-M., M.B.), and MRC Unit for Lifelong Health and Ageing at UCL (M.R.), University College London, UK; National Institute of Public Health (R.K.), Prague, Czech Republic; Department of Epidemiology and Population Studies (A. Pajak), Jagellonian University Collegium Medicum, Krakow, Poland; Institute of Internal and Preventive Medicine Siberian Branch under the Russian Academy of Medical Sciences (S.M., S.S.), Novosibirsk; Novosibirsk State Medical University (S.M.), Novosibirsk, Russia; and INSERM (A.S.-M.), U1018, Hopital Paul Brousse, Villejuif, France
| | - Ruzena Kubinova
- From the Department of Epidemiology & Public Health (P.H., H.P., A. Peasey, M.G.M., A.S.-M., M.B.), and MRC Unit for Lifelong Health and Ageing at UCL (M.R.), University College London, UK; National Institute of Public Health (R.K.), Prague, Czech Republic; Department of Epidemiology and Population Studies (A. Pajak), Jagellonian University Collegium Medicum, Krakow, Poland; Institute of Internal and Preventive Medicine Siberian Branch under the Russian Academy of Medical Sciences (S.M., S.S.), Novosibirsk; Novosibirsk State Medical University (S.M.), Novosibirsk, Russia; and INSERM (A.S.-M.), U1018, Hopital Paul Brousse, Villejuif, France
| | - Andrzej Pajak
- From the Department of Epidemiology & Public Health (P.H., H.P., A. Peasey, M.G.M., A.S.-M., M.B.), and MRC Unit for Lifelong Health and Ageing at UCL (M.R.), University College London, UK; National Institute of Public Health (R.K.), Prague, Czech Republic; Department of Epidemiology and Population Studies (A. Pajak), Jagellonian University Collegium Medicum, Krakow, Poland; Institute of Internal and Preventive Medicine Siberian Branch under the Russian Academy of Medical Sciences (S.M., S.S.), Novosibirsk; Novosibirsk State Medical University (S.M.), Novosibirsk, Russia; and INSERM (A.S.-M.), U1018, Hopital Paul Brousse, Villejuif, France
| | - Sofia Malyutina
- From the Department of Epidemiology & Public Health (P.H., H.P., A. Peasey, M.G.M., A.S.-M., M.B.), and MRC Unit for Lifelong Health and Ageing at UCL (M.R.), University College London, UK; National Institute of Public Health (R.K.), Prague, Czech Republic; Department of Epidemiology and Population Studies (A. Pajak), Jagellonian University Collegium Medicum, Krakow, Poland; Institute of Internal and Preventive Medicine Siberian Branch under the Russian Academy of Medical Sciences (S.M., S.S.), Novosibirsk; Novosibirsk State Medical University (S.M.), Novosibirsk, Russia; and INSERM (A.S.-M.), U1018, Hopital Paul Brousse, Villejuif, France
| | - Sergey Shishkin
- From the Department of Epidemiology & Public Health (P.H., H.P., A. Peasey, M.G.M., A.S.-M., M.B.), and MRC Unit for Lifelong Health and Ageing at UCL (M.R.), University College London, UK; National Institute of Public Health (R.K.), Prague, Czech Republic; Department of Epidemiology and Population Studies (A. Pajak), Jagellonian University Collegium Medicum, Krakow, Poland; Institute of Internal and Preventive Medicine Siberian Branch under the Russian Academy of Medical Sciences (S.M., S.S.), Novosibirsk; Novosibirsk State Medical University (S.M.), Novosibirsk, Russia; and INSERM (A.S.-M.), U1018, Hopital Paul Brousse, Villejuif, France
| | - Hynek Pikhart
- From the Department of Epidemiology & Public Health (P.H., H.P., A. Peasey, M.G.M., A.S.-M., M.B.), and MRC Unit for Lifelong Health and Ageing at UCL (M.R.), University College London, UK; National Institute of Public Health (R.K.), Prague, Czech Republic; Department of Epidemiology and Population Studies (A. Pajak), Jagellonian University Collegium Medicum, Krakow, Poland; Institute of Internal and Preventive Medicine Siberian Branch under the Russian Academy of Medical Sciences (S.M., S.S.), Novosibirsk; Novosibirsk State Medical University (S.M.), Novosibirsk, Russia; and INSERM (A.S.-M.), U1018, Hopital Paul Brousse, Villejuif, France
| | - Anne Peasey
- From the Department of Epidemiology & Public Health (P.H., H.P., A. Peasey, M.G.M., A.S.-M., M.B.), and MRC Unit for Lifelong Health and Ageing at UCL (M.R.), University College London, UK; National Institute of Public Health (R.K.), Prague, Czech Republic; Department of Epidemiology and Population Studies (A. Pajak), Jagellonian University Collegium Medicum, Krakow, Poland; Institute of Internal and Preventive Medicine Siberian Branch under the Russian Academy of Medical Sciences (S.M., S.S.), Novosibirsk; Novosibirsk State Medical University (S.M.), Novosibirsk, Russia; and INSERM (A.S.-M.), U1018, Hopital Paul Brousse, Villejuif, France
| | - M G Marmot
- From the Department of Epidemiology & Public Health (P.H., H.P., A. Peasey, M.G.M., A.S.-M., M.B.), and MRC Unit for Lifelong Health and Ageing at UCL (M.R.), University College London, UK; National Institute of Public Health (R.K.), Prague, Czech Republic; Department of Epidemiology and Population Studies (A. Pajak), Jagellonian University Collegium Medicum, Krakow, Poland; Institute of Internal and Preventive Medicine Siberian Branch under the Russian Academy of Medical Sciences (S.M., S.S.), Novosibirsk; Novosibirsk State Medical University (S.M.), Novosibirsk, Russia; and INSERM (A.S.-M.), U1018, Hopital Paul Brousse, Villejuif, France
| | - Archana Singh-Manoux
- From the Department of Epidemiology & Public Health (P.H., H.P., A. Peasey, M.G.M., A.S.-M., M.B.), and MRC Unit for Lifelong Health and Ageing at UCL (M.R.), University College London, UK; National Institute of Public Health (R.K.), Prague, Czech Republic; Department of Epidemiology and Population Studies (A. Pajak), Jagellonian University Collegium Medicum, Krakow, Poland; Institute of Internal and Preventive Medicine Siberian Branch under the Russian Academy of Medical Sciences (S.M., S.S.), Novosibirsk; Novosibirsk State Medical University (S.M.), Novosibirsk, Russia; and INSERM (A.S.-M.), U1018, Hopital Paul Brousse, Villejuif, France
| | - Martin Bobak
- From the Department of Epidemiology & Public Health (P.H., H.P., A. Peasey, M.G.M., A.S.-M., M.B.), and MRC Unit for Lifelong Health and Ageing at UCL (M.R.), University College London, UK; National Institute of Public Health (R.K.), Prague, Czech Republic; Department of Epidemiology and Population Studies (A. Pajak), Jagellonian University Collegium Medicum, Krakow, Poland; Institute of Internal and Preventive Medicine Siberian Branch under the Russian Academy of Medical Sciences (S.M., S.S.), Novosibirsk; Novosibirsk State Medical University (S.M.), Novosibirsk, Russia; and INSERM (A.S.-M.), U1018, Hopital Paul Brousse, Villejuif, France
| |
Collapse
|
58
|
Vikhireva O, Kubinova R, Malyutina S, Pająk A, Simonova G, Bobak M, Pikhart H. Inclusion of hazardous drinking does not improve the SCORE performance in men from Central and Eastern Europe: the findings from the HAPIEE cohorts. BMC Public Health 2014; 14:1187. [PMID: 25410740 PMCID: PMC4246452 DOI: 10.1186/1471-2458-14-1187] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2013] [Accepted: 11/06/2014] [Indexed: 01/09/2023] Open
Abstract
Background The SCORE (Systematic COronary Risk Evaluation) scale uses conventional risk factors for the prediction of the 10-year risk of fatal atherosclerotic cardiovascular disease (CVD). The high-risk version of SCORE is recommended by the European Society of Cardiology for use in the populations of Central and Eastern Europe and former Soviet Union (CEE/FSU). Given the role of hazardous alcohol consumption as an important determinant of CVD mortality in CEE/FSU men, this study investigated whether adding hazardous drinking characteristics to the high-risk SCORE improves its prognostic performance in contemporary population-based male CEE/FSU cohorts. Methods The HAPIEE (Health, Alcohol, and Psychosocial factors In Eastern Europe) study follows Czech (seven towns), Polish (Krakow), and Russian (Novosibirsk) cohorts from 2002–2005. In HAPIEE men (n = 8,927), 264 atherosclerotic cardiovascular deaths were registered over the median follow-up time of 6.2-8.1 years. Results In HAPIEE men, the baseline levels of the high-risk SCORE ≥5% significantly predicted fatal CVD. After controlling for the high-risk SCORE, binge drinking (drinking ≥100 g of ethanol at least once a month) and problem drinking (≥2 positive answers to CAGE questionnaire) were inconsistently associated with fatal CVD. No marked improvement in calibration and discrimination was observed for the high-risk SCORE extended by these hazardous drinking indicators, and all values of integrated discrimination improvement were <0.5%. Conclusions Extending the high-risk SCORE by hazardous drinking parameters failed to improve its prognostic performance across male CEE/FSU population samples. Our findings tentatively support the use of the original high-risk SCORE in male CEE/FSU populations. More research is needed on the potential use of hazardous drinking in cardiovascular risk prediction.
Collapse
Affiliation(s)
- Olga Vikhireva
- Epidemiology and Public Health Department, University College London, London, UK.
| | | | | | | | | | | | | |
Collapse
|
59
|
Kumari M, Holmes MV, Dale CE, Hubacek JA, Palmer TM, Pikhart H, Peasey A, Britton A, Horvat P, Kubinova R, Malyutina S, Pajak A, Tamosiunas A, Shankar A, Singh-Manoux A, Voevoda M, Kivimaki M, Hingorani AD, Marmot MG, Casas JP, Bobak M. Alcohol consumption and cognitive performance: a Mendelian randomization study. Addiction 2014; 109:1462-71. [PMID: 24716453 PMCID: PMC4309480 DOI: 10.1111/add.12568] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2013] [Revised: 11/18/2013] [Accepted: 03/31/2014] [Indexed: 02/02/2023]
Abstract
AIMS To use Mendelian randomization to assess whether alcohol intake was causally associated with cognitive function. DESIGN Mendelian randomization using a genetic variant related to alcohol intake (ADH1B rs1229984) was used to obtain unbiased estimates of the association between alcohol intake and cognitive performance. SETTING Europe. PARTICIPANTS More than 34 000 adults. MEASUREMENTS Any versus no alcohol intake and units of intake in the previous week was measured by questionnaire. Cognitive function was assessed in terms of immediate and delayed word recall, verbal fluency and processing speed. FINDINGS Having consumed any versus no alcohol was associated with higher scores by 0.17 standard deviations (SD) [95% confidence interval (CI) = 0.15, 0.20] for immediate recall, 0.17 SD (95% CI = 0.14, 0.19) for delayed recall, 0.17 SD (95% CI = 0.14, 0.19) for verbal fluency and 0.12 SD (95% CI = 0.09, 0.15) for processing speed. The minor allele of rs1229984 was associated with reduced odds of consuming any alcohol (odds ratio = 0.87; 95% CI = 0.80, 0.95; P = 0.001; R(2) = 0.1%; F-statistic = 47). In Mendelian randomization analysis, the minor allele was not associated with any cognitive test score, and instrumental variable analysis suggested no causal association between alcohol consumption and cognition: -0.74 SD (95% CI = -1.88, 0.41) for immediate recall, -1.09 SD (95% CI = -2.38, 0.21) for delayed recall, -0.63 SD (95% CI = -1.78, 0.53) for verbal fluency and -0.16 SD (95% CI = -1.29, 0.97) for processing speed. CONCLUSIONS The Mendelian randomization analysis did not provide strong evidence of a causal association between alcohol consumption and cognitive ability.
Collapse
Affiliation(s)
- Meena Kumari
- Department of Epidemiology and Public Health, University College LondonLondon, UK
- ISER, University of EssexColchester, UK
| | - Michael V Holmes
- Department of Epidemiology and Public Health, University College LondonLondon, UK
- Department of Surgery, Division of Transplantation and Clinical Epidemiology Unit, Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of PennsylvaniaPhiladelphia, PA, USA
| | | | - Jaroslav A Hubacek
- Centre for Experimental Medicine, Institute for Clinical and Experimental MedicinePrague, Czech Republic
| | - Tom M Palmer
- Division of Health Sciences, Warwick Medical School, University of WarwickCoventry, UK
| | - Hynek Pikhart
- Department of Epidemiology and Public Health, University College LondonLondon, UK
| | - Anne Peasey
- Department of Epidemiology and Public Health, University College LondonLondon, UK
| | - Annie Britton
- Department of Epidemiology and Public Health, University College LondonLondon, UK
| | - Pia Horvat
- Department of Epidemiology and Public Health, University College LondonLondon, UK
| | | | - Sofia Malyutina
- Institute of Internal Medicine, Russian Academy of Medical ScienceNovobrisk, Russia
- Novosibirsk State UniversityNovosibirsk, Russia
| | - Andrzej Pajak
- Department of Epidemiology and Population Studies, Jagiellonian University Medical CollegeKrakow, Poland
| | | | - Aparna Shankar
- Department of Epidemiology and Public Health, University College LondonLondon, UK
| | - Archana Singh-Manoux
- Department of Epidemiology and Public Health, University College LondonLondon, UK
- INSERM, U1018, AP-HPVillejuif, France
| | - Mikhail Voevoda
- Institute of Internal Medicine, Russian Academy of Medical ScienceNovobrisk, Russia
| | - Mika Kivimaki
- Department of Epidemiology and Public Health, University College LondonLondon, UK
| | - Aroon D Hingorani
- Department of Epidemiology and Public Health, University College LondonLondon, UK
- Institute of Cardiovascular Science, University College LondonLondon, UK
| | - Michael G Marmot
- Department of Epidemiology and Public Health, University College LondonLondon, UK
| | - Juan P Casas
- London School of Hygiene and Tropical MedicineLondon, UK
- Institute of Cardiovascular Science, University College LondonLondon, UK
| | - Martin Bobak
- Department of Epidemiology and Public Health, University College LondonLondon, UK
| |
Collapse
|
60
|
Holmes MV, Frikke-Schmidt R, Melis D, Luben R, Asselbergs FW, Boer JMA, Cooper J, Palmen J, Horvat P, Engmann J, Li KW, Onland-Moret NC, Hofker MH, Kumari M, Keating BJ, Hubacek JA, Adamkova V, Kubinova R, Bobak M, Khaw KT, Nordestgaard BG, Wareham N, Humphries SE, Langenberg C, Tybjaerg-Hansen A, Talmud PJ. A systematic review and meta-analysis of 130,000 individuals shows smoking does not modify the association of APOE genotype on risk of coronary heart disease. Atherosclerosis 2014; 237:5-12. [PMID: 25173947 PMCID: PMC4232362 DOI: 10.1016/j.atherosclerosis.2014.07.038] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2014] [Revised: 07/29/2014] [Accepted: 07/31/2014] [Indexed: 11/24/2022]
Abstract
Background Conflicting evidence exists on whether smoking acts as an effect modifier of the association between APOE genotype and risk of coronary heart disease (CHD). Methods and results We searched PubMed and EMBASE to June 11, 2013 for published studies reporting APOE genotype, smoking status and CHD events and added unpublished data from population cohorts. We tested for presence of effect modification by smoking status in the relationship between APOE genotype and risk of CHD using likelihood ratio test. In total 13 studies (including unpublished data from eight cohorts) with 10,134 CHD events in 130,004 individuals of European descent were identified. The odds ratio (OR) for CHD risk from APOE genotype (ε4 carriers versus non-carriers) was 1.06 (95% confidence interval (CI): 1.01, 1.12) and for smoking (present vs. past/never smokers) was OR 2.05 (95%CI: 1.95, 2.14). When the association between APOE genotype and CHD was stratified by smoking status, compared to non-ε4 carriers, ε4 carriers had an OR of 1.11 (95%CI: 1.02, 1.21) in 28,789 present smokers and an OR of 1.04 (95%CI 0.98, 1.10) in 101,215 previous/never smokers, with no evidence of effect modification (P-value for heterogeneity = 0.19). Analysis of pack years in individual participant data of >60,000 with adjustment for cardiovascular traits also failed to identify evidence of effect modification. Conclusions In the largest analysis to date, we identified no evidence for effect modification by smoking status in the association between APOE genotype and risk of CHD. We examined evidence for an interaction between APOE genotype, smoking and risk of coronary heart disease. This was conducted in the largest meta-analysis of published and unpublished data sets to date (>130,000 individuals). Our analysis did not identify evidence of interaction. These findings bring into question presence of a clinically meaningful interaction between APOE genotype and smoking.
Collapse
Affiliation(s)
- Michael V Holmes
- Department of Surgery, Division of Transplantation, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Epidemiology & Public Health, University College London, London, UK.
| | - Ruth Frikke-Schmidt
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark; The Copenhagen General Population Study, Herlev Hospital, Copenhagen University Hospital, Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Daniela Melis
- Centre for Cardiovascular Genetics, Institute of Cardiovascular Science, University College London, London, UK
| | - Robert Luben
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Folkert W Asselbergs
- Department of Cardiology, Division Heart & Lungs, University Medical Center, Utrecht, The Netherlands; Durrer Center for Cardiogenetic Research, ICIN-Netherlands Heart Institute, Utrecht, The Netherlands; Institute of Cardiovascular Science, faculty of Population Health Sciences, University College London, London, United Kingdom
| | - Jolanda M A Boer
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, PO Box 1, 3720 BA Bilthoven, The Netherlands
| | - Jackie Cooper
- Centre for Cardiovascular Genetics, Institute of Cardiovascular Science, University College London, London, UK
| | - Jutta Palmen
- Centre for Cardiovascular Genetics, Institute of Cardiovascular Science, University College London, London, UK
| | - Pia Horvat
- Department of Epidemiology & Public Health, University College London, London, UK
| | - Jorgen Engmann
- Department of Epidemiology & Public Health, University College London, London, UK
| | - Ka-Wah Li
- Centre for Cardiovascular Genetics, Institute of Cardiovascular Science, University College London, London, UK
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht, The Netherlands
| | - Marten H Hofker
- Department of Pediatrics, Molecular Genetics, University Medical Center Groningen and Groningen University, Groningen, The Netherlands
| | - Meena Kumari
- Department of Epidemiology & Public Health, University College London, London, UK
| | - Brendan J Keating
- Department of Surgery, Division of Transplantation, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jaroslav A Hubacek
- Center for Experimental Medicine, Institute for Clinical and Experimental Medicine, Videnska 1958/9, Prague 4, 14021, Czech Republic
| | - Vera Adamkova
- Center for Experimental Medicine, Institute for Clinical and Experimental Medicine, Videnska 1958/9, Prague 4, 14021, Czech Republic
| | - Ruzena Kubinova
- National Institute of Public Health, Srobarova 48, 10042 Prague, Czech Republic
| | - Martin Bobak
- Department of Epidemiology & Public Health, University College London, London, UK
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Børge G Nordestgaard
- The Copenhagen City Heart Study, Frederiksberg Hospital, Copenhagen University Hospital, Copenhagen, Denmark; The Copenhagen General Population Study, Herlev Hospital, Copenhagen University Hospital, Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Department of Clinical Biochemistry, Herlev Hospital, Copenhagen University Hospital, Copenhagen, Denmark
| | - Nick Wareham
- Department of Clinical Biochemistry, Herlev Hospital, Copenhagen University Hospital, Copenhagen, Denmark
| | - Steve E Humphries
- Centre for Cardiovascular Genetics, Institute of Cardiovascular Science, University College London, London, UK
| | - Claudia Langenberg
- Department of Epidemiology & Public Health, University College London, London, UK; MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, UK
| | - Anne Tybjaerg-Hansen
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark; The Copenhagen City Heart Study, Frederiksberg Hospital, Copenhagen University Hospital, Copenhagen, Denmark; The Copenhagen General Population Study, Herlev Hospital, Copenhagen University Hospital, Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Philippa J Talmud
- Centre for Cardiovascular Genetics, Institute of Cardiovascular Science, University College London, London, UK
| |
Collapse
|
61
|
Stefler D, Pikhart H, Jankovic N, Kubinova R, Pajak A, Malyutina S, Simonova G, Feskens EJM, Peasey A, Bobak M. Healthy diet indicator and mortality in Eastern European populations: prospective evidence from the HAPIEE cohort. Eur J Clin Nutr 2014; 68:1346-1352. [PMID: 25028084 PMCID: PMC4209172 DOI: 10.1038/ejcn.2014.134] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2013] [Revised: 05/12/2014] [Accepted: 06/05/2014] [Indexed: 11/26/2022]
Abstract
Background/Objectives Unhealthy diet has been proposed as one of the main reasons for the high mortality in Central and Eastern Europe (CEE) and the former Soviet Union (FSU) but individual-level effects of dietary habits on health in the region are sparse. We examined the associations between the healthy diet indicator (HDI) and all-cause and cause-specific mortality in three CEE/FSU populations. Subjects/Methods Dietary intakes of foods and nutrients, assessed by food frequency questionnaire (FFQ) in the Health, Alcohol and Psychosocial Factors in Eastern Europe (HAPIEE) cohort study, were used to construct the HDI which follows the WHO 2003 dietary recommendations. Among 18 559 eligible adult participants (age range: 45-69 years) without history of major chronic diseases at baseline, 1 209 deaths occurred over mean follow up of 7 years. The association between HDI and mortality was estimated by Cox regression. Results After adjusting for covariates, HDI was inversely and statistically significantly associated with cardiovascular disease (CVD) and coronary heart disease (CHD) mortality, but not with other cause-specific and all-cause mortality in the pooled sample. Hazard ratios per one standard deviation (SD) increase in HDI score were 0.95 (95%CI 0.89-1.00, p=0.068), 0.90 (0.81-0.99, p=0.030) and 0.85 (0.74-0.97, p=0.018) for all-cause, CVD and CHD mortality, respectively. Population attributable risk fractions for low HDI were 2.9% for all-cause, 14.2% for CVD and 10.7% for CHD mortality. Conclusions These findings support the hypothesis that unhealthy diet has played a role in the high CVD mortality in Eastern Europe.
Collapse
Affiliation(s)
- Denes Stefler
- Department of Epidemiology and Public Health, University College London, UK
| | - Hynek Pikhart
- Department of Epidemiology and Public Health, University College London, UK
| | | | | | | | - Sofia Malyutina
- Institute of Internal and Preventive Medicine, Siberian Branch of the Russian Academy of Medical Sciences, Novosibirsk, Russia.,Novosibirsk State Medical University, Novosibirsk, Russia
| | - Galina Simonova
- Institute of Internal and Preventive Medicine, Siberian Branch of the Russian Academy of Medical Sciences, Novosibirsk, Russia
| | | | - Anne Peasey
- Department of Epidemiology and Public Health, University College London, UK
| | - Martin Bobak
- Department of Epidemiology and Public Health, University College London, UK
| |
Collapse
|
62
|
Holmes MV, Dale CE, Zuccolo L, Silverwood RJ, Guo Y, Ye Z, Prieto-Merino D, Dehghan A, Trompet S, Wong A, Cavadino A, Drogan D, Padmanabhan S, Li S, Yesupriya A, Leusink M, Sundstrom J, Hubacek JA, Pikhart H, Swerdlow DI, Panayiotou AG, Borinskaya SA, Finan C, Shah S, Kuchenbaecker KB, Shah T, Engmann J, Folkersen L, Eriksson P, Ricceri F, Melander O, Sacerdote C, Gamble DM, Rayaprolu S, Ross OA, McLachlan S, Vikhireva O, Sluijs I, Scott RA, Adamkova V, Flicker L, Bockxmeer FMV, Power C, Marques-Vidal P, Meade T, Marmot MG, Ferro JM, Paulos-Pinheiro S, Humphries SE, Talmud PJ, Mateo Leach I, Verweij N, Linneberg A, Skaaby T, Doevendans PA, Cramer MJ, van der Harst P, Klungel OH, Dowling NF, Dominiczak AF, Kumari M, Nicolaides AN, Weikert C, Boeing H, Ebrahim S, Gaunt TR, Price JF, Lannfelt L, Peasey A, Kubinova R, Pajak A, Malyutina S, Voevoda MI, Tamosiunas A, Maitland-van der Zee AH, Norman PE, Hankey GJ, Bergmann MM, Hofman A, Franco OH, Cooper J, Palmen J, Spiering W, de Jong PA, Kuh D, Hardy R, Uitterlinden AG, Ikram MA, Ford I, Hyppönen E, Almeida OP, Wareham NJ, Khaw KT, Hamsten A, Husemoen LLN, Tjønneland A, Tolstrup JS, Rimm E, Beulens JWJ, Verschuren WMM, Onland-Moret NC, Hofker MH, Wannamethee SG, Whincup PH, Morris R, Vicente AM, Watkins H, Farrall M, Jukema JW, Meschia J, Cupples LA, Sharp SJ, Fornage M, Kooperberg C, LaCroix AZ, Dai JY, Lanktree MB, Siscovick DS, Jorgenson E, Spring B, Coresh J, Li YR, Buxbaum SG, Schreiner PJ, Ellison RC, Tsai MY, Patel SR, Redline S, Johnson AD, Hoogeveen RC, Hakonarson H, Rotter JI, Boerwinkle E, de Bakker PIW, Kivimaki M, Asselbergs FW, Sattar N, Lawlor DA, Whittaker J, Davey Smith G, Mukamal K, Psaty BM, Wilson JG, Lange LA, Hamidovic A, Hingorani AD, Nordestgaard BG, Bobak M, Leon DA, Langenberg C, Palmer TM, Reiner AP, Keating BJ, Dudbridge F, Casas JP. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data. BMJ 2014; 349:g4164. [PMID: 25011450 PMCID: PMC4091648 DOI: 10.1136/bmj.g4164] [Citation(s) in RCA: 452] [Impact Index Per Article: 45.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/21/2014] [Indexed: 11/09/2022]
Abstract
OBJECTIVE To use the rs1229984 variant in the alcohol dehydrogenase 1B gene (ADH1B) as an instrument to investigate the causal role of alcohol in cardiovascular disease. DESIGN Mendelian randomisation meta-analysis of 56 epidemiological studies. PARTICIPANTS 261 991 individuals of European descent, including 20 259 coronary heart disease cases and 10 164 stroke events. Data were available on ADH1B rs1229984 variant, alcohol phenotypes, and cardiovascular biomarkers. MAIN OUTCOME MEASURES Odds ratio for coronary heart disease and stroke associated with the ADH1B variant in all individuals and by categories of alcohol consumption. RESULTS Carriers of the A-allele of ADH1B rs1229984 consumed 17.2% fewer units of alcohol per week (95% confidence interval 15.6% to 18.9%), had a lower prevalence of binge drinking (odds ratio 0.78 (95% CI 0.73 to 0.84)), and had higher abstention (odds ratio 1.27 (1.21 to 1.34)) than non-carriers. Rs1229984 A-allele carriers had lower systolic blood pressure (-0.88 (-1.19 to -0.56) mm Hg), interleukin-6 levels (-5.2% (-7.8 to -2.4%)), waist circumference (-0.3 (-0.6 to -0.1) cm), and body mass index (-0.17 (-0.24 to -0.10) kg/m(2)). Rs1229984 A-allele carriers had lower odds of coronary heart disease (odds ratio 0.90 (0.84 to 0.96)). The protective association of the ADH1B rs1229984 A-allele variant remained the same across all categories of alcohol consumption (P=0.83 for heterogeneity). Although no association of rs1229984 was identified with the combined subtypes of stroke, carriers of the A-allele had lower odds of ischaemic stroke (odds ratio 0.83 (0.72 to 0.95)). CONCLUSIONS Individuals with a genetic variant associated with non-drinking and lower alcohol consumption had a more favourable cardiovascular profile and a reduced risk of coronary heart disease than those without the genetic variant. This suggests that reduction of alcohol consumption, even for light to moderate drinkers, is beneficial for cardiovascular health.
Collapse
Affiliation(s)
- Michael V Holmes
- Genetic Epidemiology Group, Institute of Cardiovascular Science, Department of Epidemiology and Public Health, University College London, UK Department of Surgery, Penn Transplant Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA19104, USA Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Caroline E Dale
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK
| | - Luisa Zuccolo
- MRC Integrative Epidemiology Unit (IEU) at the Universty of Bristol, Oakfield House, Bristol BS8 2BN, UK
| | - Richard J Silverwood
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK Centre for Statistical Methodology, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK
| | - Yiran Guo
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, USA BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
| | - Zheng Ye
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - David Prieto-Merino
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Stella Trompet
- Department of Cardiology, Leiden University Medical Center, the Netherlands
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| | - Alana Cavadino
- Centre for Paediatric Epidemiology and Biostatistics, UCL Institute of Child Health, London, UK
| | - Dagmar Drogan
- German Institute of Human Nutrition Potsdam-Rehbrücke, Arthur-Scheunert-Allee 114-116, 14558 Nuthetal, Germany
| | - Sandosh Padmanabhan
- Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8TA, UK
| | - Shanshan Li
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - Ajay Yesupriya
- Office of Public Health Genomics, Office of Epidemiology, Surveillance, and Laboratory Services, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA
| | - Maarten Leusink
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
| | - Johan Sundstrom
- Department of Medical Sciences, Uppsala University, Uppsala University Hospital, SE-751 85 Uppsala, Sweden
| | - Jaroslav A Hubacek
- Center for Experimental Medicine, Institute for Clinical and Experimental Medicine, Videnska 1958/9, Prague 4, 14021, Czech Republic
| | - Hynek Pikhart
- Department of Epidemiology and Public Health, University College London, London, WC1E 6BT, UK
| | - Daniel I Swerdlow
- Genetic Epidemiology Group, Institute of Cardiovascular Science, Department of Epidemiology and Public Health, University College London, UK
| | - Andrie G Panayiotou
- Cyprus International Institute for Environmental and Public Health in association with the Harvard School of Public Health, Cyprus University of Technology, 3603 Limassol, Cyprus
| | | | - Chris Finan
- Genetic Epidemiology Group, Institute of Cardiovascular Science, Department of Epidemiology and Public Health, University College London, UK
| | - Sonia Shah
- UCL Genetics Institute, Department of Genetics Environment and Evolution, London, WC1E 6BT, UK
| | - Karoline B Kuchenbaecker
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Tina Shah
- Genetic Epidemiology Group, Institute of Cardiovascular Science, Department of Epidemiology and Public Health, University College London, UK
| | - Jorgen Engmann
- Genetic Epidemiology Group, Institute of Cardiovascular Science, Department of Epidemiology and Public Health, University College London, UK
| | - Lasse Folkersen
- Atherosclerosis Research Unit, Center for Molecular Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Per Eriksson
- Atherosclerosis Research Unit, Center for Molecular Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Fulvio Ricceri
- Unit of Cancer Epidemiology, San Giovanni Battista Hospital and Center for Cancer Prevention (CPO-Piemonte), 10129, Torino, Italy
| | - Olle Melander
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, San Giovanni Battista Hospital and Center for Cancer Prevention (CPO-Piemonte), 10129, Torino, Italy
| | - Dale M Gamble
- Mayo Clinic Department of Neurology, Jacksonville, FL 32224, USA
| | - Sruti Rayaprolu
- Department of Neuroscience, Mayo Clinic Florida, Jacksonville, FL, USA
| | - Owen A Ross
- Department of Neuroscience, Mayo Clinic Florida, Jacksonville, FL, USA
| | - Stela McLachlan
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Olga Vikhireva
- Department of Epidemiology and Public Health, University College London, London, WC1E 6BT, UK
| | - Ivonne Sluijs
- Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht, The Netherlands
| | - Robert A Scott
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Vera Adamkova
- Department of Preventive Cardiology, Institute for Clinical and Experimental Medicine, Prague 4, 14021, Czech Republic
| | - Leon Flicker
- Western Australian Centre for Health & Ageing, Centre for Medical Research, University of Western Australia, Perth, Australia
| | - Frank M van Bockxmeer
- Department of Clinical Biochemistry, Royal Perth Hospital and School of Surgery, the University of Western Australia
| | - Christine Power
- Centre for Paediatric Epidemiology and Biostatistics, UCL Institute of Child Health, London, UK
| | - Pedro Marques-Vidal
- Department of Internal Medicine, Internal Medicine, CHUV, Lausanne, Switzerland
| | - Tom Meade
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK
| | - Michael G Marmot
- UCL Institute of Health Equity, Department of Epidemiology & Public Health, London WC1E 7HB, UK
| | - Jose M Ferro
- Instituto Medicina Molecular, Faculdade de Medicina Universidade de Lisboa, 1649-028 Lisbon, Portugal Servico Neurologia, Hospital de Santa Maria, 1649-035 Lisbon, Portugal
| | - Sofia Paulos-Pinheiro
- Instituto Nacional de Saude Doutor Ricardo Jorge, 1649-016 Lisbon, Portugal Faculdade Ciencias Universidade Lisboa, 1749-016 Lisbon, Portugal
| | - Steve E Humphries
- Centre for Cardiovascular Genetics, Institute of Cardiovascular Science, University College London, London, UK
| | - Philippa J Talmud
- Centre for Cardiovascular Genetics, Institute of Cardiovascular Science, University College London, London, UK
| | - Irene Mateo Leach
- Department of Cardiology, University Medical Center Groningen, Groningen, The Netherlands
| | - Niek Verweij
- Department of Cardiology, University Medical Center Groningen, Groningen, The Netherlands
| | - Allan Linneberg
- Research Centre for Prevention and Health, Capital Region of Denmark, Glostrup University Hospital, Glostrup, Denmark
| | - Tea Skaaby
- Research Centre for Prevention and Health, Capital Region of Denmark, Glostrup University Hospital, Glostrup, Denmark
| | - Pieter A Doevendans
- Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Maarten J Cramer
- Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Pim van der Harst
- Department of Cardiology, University Medical Center Groningen, Groningen, The Netherlands Department of Genetics, University Medical Center Groningen, Groningen, The Netherlands Durrer Center for Cardiogenetic Research, ICIN-Netherlands Heart Institute, Utrecht, The Netherlands
| | - Olaf H Klungel
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
| | - Nicole F Dowling
- Office of Public Health Genomics, Office of Epidemiology, Surveillance, and Laboratory Services, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA
| | - Anna F Dominiczak
- Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8TA, UK
| | - Meena Kumari
- Genetic Epidemiology Group, Institute of Cardiovascular Science, Department of Epidemiology and Public Health, University College London, UK
| | - Andrew N Nicolaides
- Vascular Screening and Diagnostic Centre, Ayios Dometios, Nicosia, Cyprus Deparment of Vascular Surgery, Imperial College, London, SW7 2BX, UK Cyprus Cardiovascular Disease Educational and Research trust, Nicosia, Cyprus
| | - Cornelia Weikert
- German Institute of Human Nutrition Potsdam-Rehbrücke, Arthur-Scheunert-Allee 114-116, 14558 Nuthetal, Germany
| | - Heiner Boeing
- German Institute of Human Nutrition Potsdam-Rehbrücke, Arthur-Scheunert-Allee 114-116, 14558 Nuthetal, Germany
| | - Shah Ebrahim
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK
| | - Tom R Gaunt
- MRC Integrative Epidemiology Unit (IEU) at the Universty of Bristol, Oakfield House, Bristol BS8 2BN, UK
| | - Jackie F Price
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Lars Lannfelt
- Department of Public Health & Caring Sciences, Uppsala University, Uppsala University Hospital, SE-75185 Uppsala, Sweden
| | - Anne Peasey
- Department of Epidemiology and Public Health, University College London, London, WC1E 6BT, UK
| | - Ruzena Kubinova
- Centre for Health Monitoring, National Institute of Public Health, 100 42 Prague, Czech Republic
| | - Andrzej Pajak
- Department of Epidemiology and Population Studies, Institute of Public Health, Jagiellonian University Medical College, 31-531 Krakow, Poland
| | - Sofia Malyutina
- Institute of Internal and Preventative Medicine, Siberian Branch of Russian Academy of Medical Sciences, Novosibirsk, Russia, 630089 Dept of Internal Medicine, Novosibirsk State Medical University, Novosibirsk, Russia, 630091
| | - Mikhail I Voevoda
- Institute of Internal and Preventative Medicine, Siberian Branch of Russian Academy of Medical Sciences, Novosibirsk, Russia, 630089 Faculty of Medicine, Novosibirsk State University, Novosibirsk, Russia, 630090
| | - Abdonas Tamosiunas
- Department of Population Studies, Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas LT-50161, Lithuania
| | - Anke H Maitland-van der Zee
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
| | - Paul E Norman
- School of Surgery, University of Western Australia, Perth, Australia
| | - Graeme J Hankey
- Department of Neurology, Sir Charles Gairdner Hospital, Perth, Australia School of Medicine and Pharmacology, The University of Western Australia, Nedlands, Perth, Australia
| | - Manuela M Bergmann
- German Institute of Human Nutrition Potsdam-Rehbrücke, Arthur-Scheunert-Allee 114-116, 14558 Nuthetal, Germany
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Oscar H Franco
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Jackie Cooper
- Centre for Cardiovascular Genetics, Institute of Cardiovascular Science, University College London, London, UK WC1E 6JF
| | - Jutta Palmen
- Centre for Cardiovascular Genetics, Institute of Cardiovascular Science, University College London, London, UK
| | - Wilko Spiering
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Pim A de Jong
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Diana Kuh
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| | - Rebecca Hardy
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| | | | - M Arfan Ikram
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Ian Ford
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - Elina Hyppönen
- Centre for Paediatric Epidemiology and Biostatistics, UCL Institute of Child Health, London, UK School of Population Health and Sansom Institute for Health Research, University of South Australia, Adelaide SA 5000, Australia South Australian Health and Medical Research Institute, Adelaide SA5000, Australia
| | - Osvaldo P Almeida
- Western Australian Centre for Health & Ageing, Centre for Medical Research, University of Western Australia, Perth, Australia School of Psychiatry & Clinical Neurosciences (M573), University of Western Australia, Perth 6009, Australia Department of Psychiatry, Royal Perth Hospital, Perth, Australia
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Kay-Tee Khaw
- Department of Primary Care and Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Anders Hamsten
- Atherosclerosis Research Unit, Center for Molecular Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden Center for Molecular Medicine, Karolinska University Hospital Solna, Stockholm, Sweden
| | - Lise Lotte N Husemoen
- Research Centre for Prevention and Health, Capital Region of Denmark, Glostrup University Hospital, Glostrup, Denmark
| | - Anne Tjønneland
- Danish Cancer Society, Strandboulevarden, Copenhagen, Denmark
| | - Janne S Tolstrup
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Eric Rimm
- Department of Epidemiology and Department of Nutrition, Harvard School of Public Health, Boston, MA, USA Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Joline W J Beulens
- Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht, The Netherlands
| | - W M Monique Verschuren
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht, The Netherlands
| | - Marten H Hofker
- Dept Pathology and Medical Biology, Medical Biology division, Molecular Genetics, University Medical Center Groningen and Groningen University, Groningen, The Netherlands
| | | | - Peter H Whincup
- Population Health Research Institute, St George's, University of London, London, UK
| | - Richard Morris
- Department of Primary Care & Population Health, UCL, London, UK
| | - Astrid M Vicente
- Instituto Nacional de Saude Doutor Ricardo Jorge, 1649-016 Lisbon, Portugal Instituto Gulbenkian Ciencia, P-2780-156 Oeiras, Portugal Biofig - Center for Biodiversity, Functional and Integrative Genomics, Campus da FCUL, 1749-016 Lisboa, Portugal
| | - Hugh Watkins
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK Department of Cardiovascular Medicine, University of Oxford, Oxford, UK
| | - Martin Farrall
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK Department of Cardiovascular Medicine, University of Oxford, Oxford, UK
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, the Netherlands
| | - James Meschia
- Mayo Clinic Department of Neurology, Jacksonville, FL 32224, USA
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA National Heart, Lung, and Blood Institute's The Framingham Heart Study, Framingham, Massachusetts, USA
| | - Stephen J Sharp
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Myriam Fornage
- Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Texas, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Andrea Z LaCroix
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - James Y Dai
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Matthew B Lanktree
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada L8S4L8
| | | | - Eric Jorgenson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Bonnie Spring
- Northwestern University, Feinberg School of Medicine, Department of Preventive Medicine, Chicago, IL, USA
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Yun R Li
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, USA
| | - Sarah G Buxbaum
- School of Health Sciences, Jackson State University, Jackson, MS, USA
| | - Pamela J Schreiner
- School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - R Curtis Ellison
- Preventive Medicine and Epidemiology, Evans Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Michael Y Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, USA
| | - Sanjay R Patel
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital; Harvard Medical School, Boston USA Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital; Harvard Medical School, Boston USA
| | - Andrew D Johnson
- National Heart, Lung, and Blood Institute's The Framingham Heart Study, Framingham, Massachusetts, USA
| | - Ron C Hoogeveen
- Baylor College of Medicine, Department of Medicine, Division of Atherosclerosis & Vascular Medicine, Houston, Texas 77030, USA
| | - Hakon Hakonarson
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, Calif, USA
| | - Eric Boerwinkle
- Division of Epidemiology, School of Public Health, University of Texas Health Science Center at Houston, Texas, USA
| | - Paul I W de Bakker
- Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht, The Netherlands Department of Medical Genetics, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Mika Kivimaki
- Department of Epidemiology and Public Health, University College London, London, WC1E 6BT, UK
| | - Folkert W Asselbergs
- Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, Utrecht, The Netherlands Durrer Center for Cardiogenetic Research, ICIN-Netherlands Heart Institute, Utrecht, The Netherlands Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London, UK
| | - Naveed Sattar
- British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK
| | - Debbie A Lawlor
- MRC Integrative Epidemiology Unit (IEU) at the Universty of Bristol, Oakfield House, Bristol BS8 2BN, UK
| | - John Whittaker
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK Genetics, R&D, GlaxoSmithKline, Stevenage, UK
| | - George Davey Smith
- MRC Integrative Epidemiology Unit (IEU) at the Universty of Bristol, Oakfield House, Bristol BS8 2BN, UK
| | - Kenneth Mukamal
- Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA,USA Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, USA
| | - Leslie A Lange
- Department of Genetics, University of North Carolina School of Medicine at Chapel Hill, Chapel Hill, North Carolina 27514, USA
| | - Ajna Hamidovic
- College of Pharmacy, The University of New Mexico, Albuquerque, NM, USA
| | - Aroon D Hingorani
- Genetic Epidemiology Group, Institute of Cardiovascular Science, Department of Epidemiology and Public Health, University College London, UK
| | - Børge G Nordestgaard
- The Copenhagen General Population Study, Herlev Hospital, Copenhagen, Denmark Faculty of Health Sciences, Copenhagen University Hospital, University of Copenhagen,Copenhagen, Denmark Department of Clinical Biochemistry, Herlev Hospital, Copenhagen University Hospital, Denmark
| | - Martin Bobak
- Department of Epidemiology and Public Health, University College London, London, WC1E 6BT, UK
| | - David A Leon
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Tom M Palmer
- Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK
| | - Alex P Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Brendan J Keating
- Department of Surgery, Penn Transplant Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA19104, USA Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, USA
| | - Frank Dudbridge
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK
| | - Juan P Casas
- Genetic Epidemiology Group, Institute of Cardiovascular Science, Department of Epidemiology and Public Health, University College London, UK Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK
| |
Collapse
|
63
|
Marti-Soler H, Gubelmann C, Aeschbacher S, Alves L, Bobak M, Bongard V, Clays E, de Gaetano G, Di Castelnuovo A, Elosua R, Ferrieres J, Guessous I, Igland J, Jørgensen T, Nikitin Y, O'Doherty MG, Palmieri L, Ramos R, Simons J, Sulo G, Vanuzzo D, Vila J, Barros H, Borglykke A, Conen D, De Bacquer D, Donfrancesco C, Gaspoz JM, Giampaoli S, Giles GG, Iacoviello L, Kee F, Kubinova R, Malyutina S, Marrugat J, Prescott E, Ruidavets JB, Scragg R, Simons LA, Tamosiunas A, Tell GS, Vollenweider P, Marques-Vidal P. Seasonality of cardiovascular risk factors: an analysis including over 230 000 participants in 15 countries. Heart 2014; 100:1517-23. [DOI: 10.1136/heartjnl-2014-305623] [Citation(s) in RCA: 96] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
|
64
|
Horvat P, Richards M, Malyutina S, Pajak A, Kubinova R, Tamosiunas A, Pikhart H, Peasey A, Marmot MG, Bobak M. Life course socioeconomic position and mid-late life cognitive function in Eastern Europe. J Gerontol B Psychol Sci Soc Sci 2014; 69:470-81. [PMID: 24598045 PMCID: PMC3983917 DOI: 10.1093/geronb/gbu014] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES To investigate whether the positive relation between socioeconomic position (SEP) across the life course and later life cognitive function observed in Western populations exists in former communist countries with apparently smaller income inequalities. METHOD Structural equation modeling analysis of cross-sectional data on 30,846 participants aged 45-78 years in four Central and Eastern European centers: Novosibirsk (Russia), Krakow (Poland), Kaunas (Lithuania), and six Czech towns from the HAPIEE (Health, Alcohol, and Psychosocial factors In Eastern Europe) study. SEP was measured using self-reported childhood (maternal education, household amenities), adult (education), and older adult (current material circumstances) indicators. Latent variable for cognition was constructed from word recall, animal naming, and letter search. RESULTS Associations between SEP measures over the life course and cognition were similar across study centers. Education had the strongest direct association with cognition, followed by current material circumstances. Indirect path from education to cognition, mediated by current SEP, was small. Direct path from mother's education to cognition was significant but modest, and partially mediated by later SEP measures, particularly education. DISCUSSION In these Eastern European populations, late life cognition reflected life course socioeconomic trajectories similarly to findings in Western countries.
Collapse
Affiliation(s)
- Pia Horvat
- Correspondence should be addressed to Prof Martin Bobak, Department of Epidemiology and Public Health, UCL (University College London), 1-19 Torrington place, London WC1E 7HB, UK. E-mail:
| | | | | | | | | | | | | | | | | | | |
Collapse
|
65
|
Hubacek JA, Peasey A, Kubinova R, Pikhart H, Bobak M. The association between APOA5 haplotypes and plasma lipids is not modified by energy or fat intake: the Czech HAPIEE study. Nutr Metab Cardiovasc Dis 2014; 24:243-247. [PMID: 24462044 PMCID: PMC4357849 DOI: 10.1016/j.numecd.2013.08.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2013] [Revised: 07/05/2013] [Accepted: 08/03/2013] [Indexed: 01/22/2023]
Abstract
BACKGROUND AND AIMS Several smaller studies reported interactions between dietary factors and apolipoprotein A5 (APOA5) gene polymorphisms in determination of plasma lipids. We tested interactions between APOA5 haplotypes and dietary intake in determination of plasma triglycerides (TG) and other lipids. METHODS AND RESULTS Participants (5487 males and females aged 45-69) were classified according to the number (0, 1, 2+) of minor APOA5 alleles (using T-1131 > C; rs662799 and Ser19 > Trp; rs3135506 polymorphisms) and into three groups of low (bottom 25%), medium (26th-75th percentile) and high (top 25%) of intake of total energy and total, saturated and polyunsaturated fats, assessed by food frequency questionnaire. The age-sex adjusted geometric means of plasma TG increased with the number of minor alleles, from 1.57 (standard error 0.01), to 1.79 (0.02) to 2.29 (0.10) mmol/L (p < 0.00001) but TG did not differ between groups with low, medium and high total energy intake (p = 0.251). TG concentrations were highest in subjects with the combination of 2+ minor alleles and the highest energy intake (mean 2.59 [0.19], compared with 1.62 [0.03] in subjects with lowest energy intake and no minor allele) but the interaction between energy intake and APOA5 haplotypes was not statistically significant (p = 0.186). Analogous analyses with total, saturated and polyunsaturated fat intake yielded similar nonsignificant results. Effects of APOA5 and dietary intakes on total and HDL cholesterol were weaker and no interactions were significant. CONCLUSION In this Slavic Caucasian population sample, we did not detect the hypothesized interaction between common SNPs within the APOA5 gene and diet in determination of blood lipids.
Collapse
Affiliation(s)
- J A Hubacek
- Centre for Experimental Medicine, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - A Peasey
- Department of Epidemiology and Public Health, University College London, London, 1-19 Torrington Place, London WC1E 6BT, UK
| | - R Kubinova
- National Institute of Public Health, Prague, Czech Republic
| | - H Pikhart
- Department of Epidemiology and Public Health, University College London, London, 1-19 Torrington Place, London WC1E 6BT, UK
| | - M Bobak
- Department of Epidemiology and Public Health, University College London, London, 1-19 Torrington Place, London WC1E 6BT, UK.
| |
Collapse
|
66
|
Vandenheede H, Vikhireva O, Pikhart H, Kubinova R, Malyutina S, Pajak A, Tamosiunas A, Peasey A, Simonova G, Topor-Madry R, Marmot M, Bobak M. Socioeconomic inequalities in all-cause mortality in the Czech Republic, Russia, Poland and Lithuania in the 2000s: findings from the HAPIEE Study. J Epidemiol Community Health 2013; 68:297-303. [PMID: 24227051 PMCID: PMC3963532 DOI: 10.1136/jech-2013-203057] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BACKGROUND Relatively large socioeconomic inequalities in health and mortality have been observed in Central and Eastern Europe (CEE) and the former Soviet Union (FSU). Yet comparative data are sparse and virtually all studies include only education. The aim of this study is to quantify and compare socioeconomic inequalities in all-cause mortality during the 2000s in urban population samples from four CEE/FSU countries, by three different measures of socioeconomic position (SEP) (education, difficulty buying food and household amenities), reflecting different aspects of SEP. METHODS Data from the prospective population-based HAPIEE (Health, Alcohol, and Psychosocial factors in Eastern Europe) study were used. The baseline survey (2002-2005) included 16 812 men and 19 180 women aged 45-69 years in Novosibirsk (Russia), Krakow (Poland), Kaunas (Lithuania) and seven Czech towns. Deaths in the cohorts were identified through mortality registers. Data were analysed by direct standardisation and Cox regression, quantifying absolute and relative SEP differences. RESULTS Mortality inequalities by the three SEP indicators were observed in all samples. The magnitude of inequalities varied according to gender, country and SEP measure. As expected, given the high mortality rates in Russian men, largest absolute inequalities were found among Russian men (educational slope index of inequality was 19.4 per 1000 person-years). Largest relative inequalities were observed in Czech men and Lithuanian subjects. Disadvantage by all three SEP measures remained strongly associated with increased mortality after adjusting for the other SEP indicators. CONCLUSIONS The results emphasise the importance of all SEP measures for understanding mortality inequalities in CEE/FSU.
Collapse
Affiliation(s)
- Hadewijch Vandenheede
- Research Department of Epidemiology and Public Health, University College London, , London, UK
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
67
|
Pikhart H, Peasey A, Pajak A, Malyutina S, Kubinova R, Nikitin Y, Topor-Madry R, Tamosiunas A, Bobak M. Health trajectories in ageing populations in Central and Eastern Europe: the HAPIEE study. Eur J Public Health 2013. [DOI: 10.1093/eurpub/ckt126.132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
|
68
|
Vikhireva O, Pajak A, Broda G, Malyutina S, Tamosiunas A, Kubinova R, Simonova G, Skodova Z, Bobak M, Pikhart H. SCORE performance in Central and Eastern Europe and former Soviet Union: MONICA and HAPIEE results. Eur Heart J 2013; 35:571-7. [PMID: 23786858 PMCID: PMC3938861 DOI: 10.1093/eurheartj/eht189] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Aims The Systematic COronary Risk Evaluation (SCORE) scale assesses 10 year risk of fatal atherosclerotic cardiovascular disease (CVD), based on conventional risk factors. The high-risk SCORE version is recommended for Central and Eastern Europe and former Soviet Union (CEE/FSU), but its performance has never been systematically assessed in the region. We evaluated SCORE performance in two sets of population-based CEE/FSU cohorts. Methods and results The cohorts based on the World Health Organization MONitoring of trends and determinants in CArdiovascular disease (MONICA) surveys in the Czech Republic, Poland (Warsaw and Tarnobrzeg), Lithuania (Kaunas), and Russia (Novosibirsk) were followed from the mid-1980s. The Health, Alcohol, and Psychosocial factors in Eastern Europe (HAPIEE) study follows Czech, Polish (Krakow), and Russian (Novosibirsk) cohorts from 2002–05. In Cox regression analyses, the high-risk SCORE ≥5% at baseline significantly predicted CVD mortality in both MONICA [n = 15 027; hazard ratios (HR), 1.7–6.3] and HAPIEE (n = 20 517; HR, 2.6–10.5) samples. While SCORE calibration was good in most MONICA samples (predicted and observed mortality were close), the risk was underestimated in Russia. In HAPIEE, the high-risk SCORE overpredicted the estimated 10 year mortality for Czech and Polish samples and adequately predicted it for Russia. SCORE discrimination was satisfactory in both MONICA and HAPIEE. Conclusion The high-risk SCORE underestimated the fatal CVD risk in Russian MONICA but performed well in most MONICA samples and Russian HAPIEE. This SCORE version might overestimate the risk in contemporary Czech and Polish populations.
Collapse
Affiliation(s)
- Olga Vikhireva
- Epidemiology and Public Health Department, University College London, 1-19 Torrington Place, London WC1E 6BT, UK
| | | | | | | | | | | | | | | | | | | |
Collapse
|
69
|
Pajak A, Szafraniec K, Kubinova R, Malyutina S, Peasey A, Pikhart H, Nikitin Y, Marmot M, Bobak M. Binge drinking and blood pressure: cross-sectional results of the HAPIEE study. PLoS One 2013; 8:e65856. [PMID: 23762441 PMCID: PMC3676342 DOI: 10.1371/journal.pone.0065856] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2012] [Accepted: 05/01/2013] [Indexed: 12/28/2022] Open
Abstract
OBJECTIVES To investigate whether binge drinking pattern influences blood pressure independently from drinking volume or whether it modifies the effect of volume of drinking. METHODS We used cross-sectional data from population samples of 7559 men and 7471 women aged 45-69 years in 2002-05, not on antihypertensive medication, from Russia, Poland and Czech Republic. Annual alcohol intake, drinking frequency and binge drinking (≥ 100 g in men and ≥ 60 g in women in one session at least once a month) were estimated from graduated frequency questionnaire. Blood pressure was analysed as continuous variables (systolic and diastolic pressure) and a binary outcome (≥ 140/90 mm Hg). RESULTS In men, annual alcohol intake and drinking frequency were strongly associated with blood pressure. The odds ratio of high blood pressure for binge drinking in men was 1.62 (95% CI 1.45-1.82) after controlling for age, country, body mass index, education and smoking; additional adjustment for annual alcohol intake reduced it to 1.20 (1.03-1.39). In women, the fully adjusted odds ratio of high blood pressure for binge drinking was 1.31 (1.05-1.63). Binge drinking did not modify the effect of annual alcohol intake. Consuming alcohol as wine, beer or spirits had similar effects. CONCLUSIONS The results suggest that the independent long-term effect of binge drinking was modest, that binge drinking did not modify the effect of alcohol intake, and that different alcoholic beverages had similar effects on blood pressure.
Collapse
Affiliation(s)
- Andrzej Pajak
- Institute of Public Health, Jagiellonian University Medical College, Krakow, Poland
| | - Krystyna Szafraniec
- Institute of Public Health, Jagiellonian University Medical College, Krakow, Poland
| | - Ruzena Kubinova
- Centre for Health Monitoring, National Institute of Public Health, Prague, Czech Republic
| | - Sofia Malyutina
- Institute of Internal Medicine, Siberian Branch of Russian Academy of Medical Sciences, Novosibirsk, Russia
| | - Anne Peasey
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Hynek Pikhart
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Yuri Nikitin
- Institute of Internal Medicine, Siberian Branch of Russian Academy of Medical Sciences, Novosibirsk, Russia
| | - Michael Marmot
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Martin Bobak
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| |
Collapse
|
70
|
Stepaniak U, Szafraniec K, Kubinova R, Malyutina S, Peasey A, Pikhart H, Pająk A, Bobak M. Age at natural menopause in three central and eastern European urban populations: the HAPIEE study. Maturitas 2013; 75:87-93. [PMID: 23489553 PMCID: PMC3909467 DOI: 10.1016/j.maturitas.2013.02.008] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2012] [Revised: 01/19/2013] [Accepted: 02/19/2013] [Indexed: 11/24/2022]
Abstract
OBJECTIVES To investigate the age at menopause in three urban populations in Central and Eastern Europe and to assess whether the (suspected) differences can be explained by a range of socioeconomic, reproductive and behavioural factors. METHODS The Health, Alcohol and Psychosocial factors in Eastern Europe (HAPIEE) Study examined random samples of populations aged 45-69 years in Novosibirsk (Russia), Krakow (Poland) and six Czech towns. Participants completed a questionnaire and attended an examination in clinic. A total of 12,676 of women were included in these analyses. RESULTS The median age at menopause was 50 years in Novosibirsk, 51 years in Czech towns and 52 years in Krakow; the Cox regression hazard ratios of menopause, compared with Krakow, were 1.47 (95% CI 1.40-1.55) for Novosibirsk and 1.10 (1.04-1.16) for Czech women. In multivariate analyses, higher education, using vitamin and mineral supplements and ever use of oral contraceptives were associated with later menopause, while smoking, abstaining from alcohol and low physical activity were associated with earlier menopause. These factors, however, did not explain the differences between populations; the multivariate hazard ratios of menopause, compared with Krakow, were 1.48 (1.40-1.57) for Novosibirsk and 1.11 (1.05-1.17) for Czech women. CONCLUSIONS In this large population based study, differences in age at menopause between Central and Eastern Europe populations were substantial and unexplained by a range of risk factors. Associations of age at menopause with risk factors were largely consistent with studies in other populations.
Collapse
Affiliation(s)
- U. Stepaniak
- Department of Epidemiology and Population Studies, Jagiellonian University Medical College, Krakow, Poland
| | - K. Szafraniec
- Department of Epidemiology and Population Studies, Jagiellonian University Medical College, Krakow, Poland
| | - R. Kubinova
- National Institute of Public Health, Prague, Czech Republic
| | - S. Malyutina
- Institute of Internal Medicine, Russian Academy of Medical Sciences, Novosibirsk, Russia
| | - A. Peasey
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - H. Pikhart
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - A. Pająk
- Department of Epidemiology and Population Studies, Jagiellonian University Medical College, Krakow, Poland
| | - M. Bobak
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| |
Collapse
|
71
|
Doryńska A, Pająk A, Kubinova R, Malyutina S, Tamosiunas A, Pikhart H, Peasey A, Nikitin Y, Marmot M, Bobak M. Socioeconomic circumstances, health behaviours and functional limitations in older persons in four Central and Eastern European populations. Age Ageing 2012; 41:728-35. [PMID: 22923605 PMCID: PMC3476830 DOI: 10.1093/ageing/afs114] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2011] [Accepted: 06/20/2012] [Indexed: 12/02/2022] Open
Abstract
OBJECTIVES to investigate functional limitations and their association with socioeconomic factors in four Central and Eastern European populations. METHODS a cross-sectional study of random population samples in Novosibirsk (Russia), Krakow (Poland), Kaunas (Lithuania) and six Czech towns participating in the HAPIEE study. Functional limitations (classified into tertiles of the SF-36 physical functioning subscale), socioeconomic circumstances and health behaviours were available for 34,431 subjects aged 45-69 years. RESULTS the proportion of subjects in the worst tertile of the functional limitations score (≤80% of the maximum score) ranged from 21% of the men in Kaunas to 48% in Krakow women. In multivariate ordered logistic regression, functional limitations were strongly inversely associated with education and positively with material deprivation and with being economically inactive. Functional limitations were more common in male smokers and less common in alcohol drinkers. Socioeconomic characteristics explained some of the differences in functional limitations between populations. Health behaviours explained some of the differences between social groups in both genders and between populations in women. CONCLUSION unexpectedly, functional limitations were not most common in the sample from Russia, the country with the highest mortality rates. All socioeconomic measures were strongly associated with functional limitations and made some contribution towards explaining differences in limitations between populations.
Collapse
Affiliation(s)
| | | | | | - Sofia Malyutina
- Institute of Internal Medicine, Novosibirsk, Russian Federation
| | | | - Hynek Pikhart
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London WC1E 6BT, UK
| | - Anne Peasey
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London WC1E 6BT, UK
| | - Yuri Nikitin
- Institute of Internal Medicine, Novosibirsk, Russian Federation
| | - Michael Marmot
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London WC1E 6BT, UK
| | - Martin Bobak
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London WC1E 6BT, UK
| |
Collapse
|
72
|
Hubacek JA, Piper BJ, Pikhart H, Peasey A, Kubinova R, Bobak M. Lack of an association between left-handedness and APOE polymorphism in a large sample of adults: results of the Czech HAPIEE study. Laterality 2012; 18:513-9. [PMID: 23113606 PMCID: PMC3996547 DOI: 10.1080/1357650x.2012.715164] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
An association between APOE genotype and left-handedness has been previously reported. We examined whether such association exists in a population sample of 4438 unrelated Caucasian adults aged 45–69 years (2022 males and 2416 females). Left-handedness was based on self-reported left-hand dominance for writing (prevalence 4.9%) and on consistently higher left-hand grip strength in two repeated measurements (prevalence 12.2%). Individuals with higher left hand grip strength were seven times more likely to be self-reported left handers (p <.0001, χ2 159.7,2 df). There were no differences in the proportion of self-reported left-handedness (p =.828, χ2 2.1, 5df) or higher grip strength in left hand (p = .557, χ2 3.9, 5 df) between APOE genotypes. The lack of association was similar in both genders and did not differ by age group. The results suggest that left-handedness in adults is not related to APOE genotype.
Collapse
Affiliation(s)
- Jaroslav A Hubacek
- Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
| | | | | | | | | | | |
Collapse
|
73
|
Franchi M, Pikhart H, Bobak M, Kubinova R, Malyutina S, Croezen S. OP19 Social Networks and Depressive Symptoms in Russia, Poland and the Czech Republic: Evidence from the Hapiee Study. Br J Soc Med 2012. [DOI: 10.1136/jech-2012-201753.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
|
74
|
Kuulasmaa K, Tolonen H, Koponen P, Kilpeläinen K, Avdicová M, Broda G, Calleja N, Dias C, Gösswald A, Kubinova R, Mindell J, Männistö S, Palmieri L, Tell GS, Trichopoulou A, Verschuren WM. An overview of the European Health Examination Survey Pilot Joint Action. ACTA ACUST UNITED AC 2012; 70:20. [PMID: 22958511 PMCID: PMC3508610 DOI: 10.1186/0778-7367-70-20] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2011] [Accepted: 05/31/2012] [Indexed: 11/26/2022]
Abstract
Background Health Examination Surveys (HESs) can provide essential information on the health and health determinants of a population, which is not available from other data sources. Nevertheless, only some European countries have systems of national HESs. A study conducted in 2006–2008 concluded that it is feasible to organize national HESs using standardized measurement procedures in nearly all EU countries. The feasibility study also outlined a structure for a European Health Examination Survey (EHES), which is a collaboration to organize standardized HESs in countries across Europe. To facilitate setting up national surveys and to gain experience in applying the EHES methods in different cultures, EHES Joint Action (2010–2011) planned and piloted standardized HESs in the working age population in 12 countries. This included countries with earlier national HESs and countries which were planning their first national HES. The core measurements included in all surveys were weight, height, waist circumference and blood pressure, and blood samples were taken to measure lipid profiles and glucose or glycated haemoglobin (HbA1c). These are modifiable determinants of major chronic diseases not identified in health interview surveys. There was a questionnaire to complement the data on the examination measurements. Methods Evaluation of the pilot surveys was based on review of national manuals and evaluation reports of survey organizers; observations and discussions of survey procedures during site visits and training seminars; and other communication with the survey organizers. Results Despite unavoidable differences in the ways HESs are organized in the various countries, high quality and comparability of the data seems achievable. The biggest challenge in each country was obtaining high participation rate. Most of the pilot countries are now ready to start their full-size national HES, and six of them have already started. Conclusions The EHES Pilot Project has set up the structure for obtaining comparable high quality health indicators on health and important modifiable risk factors of major non-communicable diseases from the European countries. The European Union is now in a key position to make this structure sustainable. The EHES core survey can be expanded to cover other measurements.
Collapse
Affiliation(s)
- Kari Kuulasmaa
- National Institute for Health and Welfare (THL), Helsinki, Finland.
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
75
|
Swerdlow DI, Holmes MV, Kuchenbaecker KB, Engmann JEL, Shah T, Sofat R, Guo Y, Chung C, Peasey A, Pfister R, Mooijaart SP, Ireland HA, Leusink M, Langenberg C, Li KW, Palmen J, Howard P, Cooper JA, Drenos F, Hardy J, Nalls MA, Li YR, Lowe G, Stewart M, Bielinski SJ, Peto J, Timpson NJ, Gallacher J, Dunlop M, Houlston R, Tomlinson I, Tzoulaki I, Luan J, Boer JMA, Forouhi NG, Onland-Moret NC, van der Schouw YT, Schnabel RB, Hubacek JA, Kubinova R, Baceviciene M, Tamosiunas A, Pajak A, Topor-Madry R, Malyutina S, Baldassarre D, Sennblad B, Tremoli E, de Faire U, Ferrucci L, Bandenelli S, Tanaka T, Meschia JF, Singleton A, Navis G, Mateo Leach I, Bakker SJL, Gansevoort RT, Ford I, Epstein SE, Burnett MS, Devaney JM, Jukema JW, Westendorp RGJ, Jan de Borst G, van der Graaf Y, de Jong PA, Mailand-van der Zee AH, Klungel OH, de Boer A, Doevendans PA, Stephens JW, Eaton CB, Robinson JG, Manson JE, Fowkes FG, Frayling TM, Price JF, Whincup PH, Morris RW, Lawlor DA, Smith GD, Ben-Shlomo Y, Redline S, Lange LA, Kumari M, Wareham NJ, Verschuren WMM, Benjamin EJ, Whittaker JC, Hamsten A, Dudbridge F, Delaney JAC, Wong A, Kuh D, Hardy R, Castillo BA, Connolly JJ, van der Harst P, Brunner EJ, Marmot MG, Wassel CL, Humphries SE, Talmud PJ, Kivimaki M, Asselbergs FW, Voevoda M, Bobak M, Pikhart H, Wilson JG, Hakonarson H, Reiner AP, Keating BJ, Sattar N, Hingorani AD, Casas JP. The interleukin-6 receptor as a target for prevention of coronary heart disease: a mendelian randomisation analysis. Lancet 2012; 379:1214-24. [PMID: 22421340 PMCID: PMC3316968 DOI: 10.1016/s0140-6736(12)60110-x] [Citation(s) in RCA: 765] [Impact Index Per Article: 63.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
BACKGROUND A high circulating concentration of interleukin 6 is associated with increased risk of coronary heart disease. Blockade of the interleukin-6 receptor (IL6R) with a monoclonal antibody (tocilizumab) licensed for treatment of rheumatoid arthritis reduces systemic and articular inflammation. However, whether IL6R blockade also reduces risk of coronary heart disease is unknown. METHODS Applying the mendelian randomisation principle, we used single nucleotide polymorphisms (SNPs) in the gene IL6R to evaluate the likely efficacy and safety of IL6R inhibition for primary prevention of coronary heart disease. We compared genetic findings with the effects of tocilizumab reported in randomised trials in patients with rheumatoid arthritis. FINDINGS In 40 studies including up to 133,449 individuals, an IL6R SNP (rs7529229) marking a non-synonymous IL6R variant (rs8192284; p.Asp358Ala) was associated with increased circulating log interleukin-6 concentration (increase per allele 9·45%, 95% CI 8·34-10·57) as well as reduced C-reactive protein (decrease per allele 8·35%, 95% CI 7·31-9·38) and fibrinogen concentrations (decrease per allele 0·85%, 95% CI 0·60-1·10). This pattern of effects was consistent with IL6R blockade from infusions of tocilizumab (4-8 mg/kg every 4 weeks) in patients with rheumatoid arthritis studied in randomised trials. In 25,458 coronary heart disease cases and 100,740 controls, the IL6R rs7529229 SNP was associated with a decreased odds of coronary heart disease events (per allele odds ratio 0·95, 95% CI 0·93-0·97, p=1·53×10(-5)). INTERPRETATION On the basis of genetic evidence in human beings, IL6R signalling seems to have a causal role in development of coronary heart disease. IL6R blockade could provide a novel therapeutic approach to prevention of coronary heart disease that warrants testing in suitably powered randomised trials. Genetic studies in populations could be used more widely to help to validate and prioritise novel drug targets or to repurpose existing agents and targets for new therapeutic uses. FUNDING UK Medical Research Council; British Heart Foundation; Rosetrees Trust; US National Heart, Lung, and Blood Institute; Du Pont Pharma; Chest, Heart and Stroke Scotland; Wellcome Trust; Coronary Thrombosis Trust; Northwick Park Institute for Medical Research; UCLH/UCL Comprehensive Medical Research Centre; US National Institute on Aging; Academy of Finland; Netherlands Organisation for Health Research and Development; SANCO; Dutch Ministry of Public Health, Welfare and Sports; World Cancer Research Fund; Agentschap NL; European Commission; Swedish Heart-Lung Foundation; Swedish Research Council; Strategic Cardiovascular Programme of the Karolinska Institutet; Stockholm County Council; US National Institute of Neurological Disorders and Stroke; MedStar Health Research Institute; GlaxoSmithKline; Dutch Kidney Foundation; US National Institutes of Health; Netherlands Interuniversity Cardiology Institute of the Netherlands; Diabetes UK; European Union Seventh Framework Programme; National Institute for Healthy Ageing; Cancer Research UK; MacArthur Foundation.
Collapse
|
76
|
Hubacek JA, Pikhart H, Peasey A, Kubinova R, Bobak M. ADH1B polymorphism, alcohol consumption, and binge drinking in Slavic Caucasians: results from the Czech HAPIEE study. Alcohol Clin Exp Res 2011; 36:900-5. [PMID: 22150722 DOI: 10.1111/j.1530-0277.2011.01680.x] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Several genetic polymorphisms influence the risk of heavy alcohol consumption but it is not well understood whether the genetic effects are similar in different populations and drinking cultures, nor whether the genetic influences on binge drinking are similar to those seen for alcoholism. METHODS We have analyzed the effect of the Arg47His (rs1229984) variant within the alcohol dehydrogenase (ADH1B) gene on a range of drinking related variables in a large Eastern European Slavic population (Czech HAPIEE study), which recruited random samples of men and women aged 45-69 years in 7 Czech towns (3,016 males and 3,481 females with complete data). Drinking frequency, annual alcohol intake, prevalence of binge drinking (≥100 g in men and ≥60 g in women at least once a month) and the mean dose of alcohol per occasion were measured by the graduated frequency questionnaire. Alcohol intake in a typical week was used to define heavy drinking (≥350 g/wk in men and ≥210 g in women). Problem drinking (≥2 positive answers on CAGE) and negative consequences of drinking on different aspects of life were also measured. RESULTS The frequency of the His47 allele carriers was 11%. Homozygotes in the common allele (Arg47Arg), among both males and females, had significantly higher drinking frequency, and annual and weekly intake of alcohol than His47 carriers. The odds ratio of heavy drinking in Arg47Arg homozygotes versus His47 carriers was 2.1 (95% confidence intervals 1.1-3.2) in men and 2.2 (1.0-4.7) in women. In females, but not in males, Arg47Arg homozygotes had marginally significantly higher prevalence of binge drinking and mean alcohol dose per drinking session. There was no consistent association with problem drinking and negative consequences of drinking. CONCLUSIONS The ADH1B genotype was associated with the frequency and volume of drinking but its associations with binge drinking and problem drinking were less consistent.
Collapse
Affiliation(s)
- Jaroslav A Hubacek
- Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | | | | | | | | |
Collapse
|
77
|
Hubacek JA, Viklicky O, Dlouha D, Bloudickova S, Kubinova R, Peasey A, Pikhart H, Adamkova V, Brabcova I, Pokorna E, Bobak M. The FTO gene polymorphism is associated with end-stage renal disease: two large independent case-control studies in a general population. Nephrol Dial Transplant 2011; 27:1030-5. [PMID: 21788373 DOI: 10.1093/ndt/gfr418] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Genome-wide association studies identified the FTO (fat mass and obesity gene) gene as an important determinant of body weight. More recently, the FTO gene was reported to be associated with other outcomes, including major risk factors for chronic kidney disease (CKD). We investigated the role of this gene in the risk of end-stage renal disease (ESRD) caused by CKD. METHODS We conducted two large population-based case-control studies of ESRD. Study 1 compared 984 haemodialysed patients with ESRD with 2501 participants in the Czech post-MONICA study; Study 2 compared 1188 patients included in a kidney transplantation programme for ESRD with 6681 participants in the Czech HAPIEE study. The frequencies of the FTO rs17817449 single nucleotide polymorphism genotype were compared between cases and controls. RESULTS The FTO rs17817449 genotype was significantly associated with CKD in both studies (P-values 0.00004 and 0.006, respectively). In the pooled data, the odds ratios of CKD for GG and GT, versus TT genotype, were 1.37 (95% confidence interval 1.20-1.56) and 1.17 (1.05-1.31), respectively (P for trend <0.0001). Among haemodialysed and kidney transplant patients, the onset of ESRD in GG homozygotes was 3.3 (P = 0.012) and 2.5 (P = 0.032) years, respectively, earlier than in TT homozygotes. CONCLUSIONS These two large independent case-control studies in the general population found robust associations between the FTO rs17817449 polymorphism and the ESRD. The results suggest that the morbidities associated with the FTO gene include CKD.
Collapse
Affiliation(s)
- Jaroslav A Hubacek
- Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
78
|
Salavecz G, Chandola T, Pikhart H, Dragano N, Siegrist J, Jöckel KH, Erbel R, Pajak A, Malyutina S, Kubinova R, Marmot M, Bobak M, Kopp M. Work stress and health in Western European and post-communist countries: an East-West comparison study. J Epidemiol Community Health 2011; 64:57-62. [PMID: 19692735 DOI: 10.1136/jech.2008.075978] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BACKGROUND There is evidence that psychosocial factors at work influence the risk of poor health in Western societies, but little is known about the effect of work stress in the former communist countries. The aim of this paper is to compare the association of work stress with self-rated health in Western European and post-communist countries. METHODS Data from four epidemiological studies were used: the HAPIEE study (Poland, Russia and the Czech Republic), the Hungarian Epidemiological Panel (Hungary), the Heinz Nixdorf Recall study (Germany) and the Whitehall II study (UK). The overall sample consisted of 18 494 male and female workers aged 35-65 years. RESULTS High effort-reward imbalance at work was associated with poor self-rated health. The adjusted odds ratios for the highest versus lowest quartile of the effort-reward ratio were 3.8 (95% CI 1.9 to 7.7) in Hungary, 3.6 (95% CI 2.3 to 5.7) in the Czech Republic, 2.5 (95% CI 1.5 to 4.1) in the UK, 2.3 (95% CI 1.6 to 3.5) in Germany, 1.5 (95% CI 1.0 to 2.1) in Poland and 1.4 (95% CI 1.1 to 1.8) in Russia. The differences in odds ratios between countries were statistically significant (p<0.05). A similar pattern was observed for the effect of overcommitment on poor health. CONCLUSION The association of effort-reward imbalance at work and of a high degree of work-related overcommitment with poor self-rated health was seen in all countries, but the size of the effects differed considerably. It does not appear that the effects in Eastern Europe are systematically stronger than in the West.
Collapse
Affiliation(s)
- G Salavecz
- Institute of Behavioral Sciences, Semmelweis University, Nagyvarad ter 4, Budapest, Hungary H-1089.
| | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
79
|
Hubacek JA, Peasey A, Pikhart H, Stavek P, Kubinova R, Marmot M, Bobak M. APOE polymorphism and its effect on plasma C-reactive protein levels in a large general population sample. Hum Immunol 2010; 71:304-8. [PMID: 20074603 PMCID: PMC2837141 DOI: 10.1016/j.humimm.2010.01.008] [Citation(s) in RCA: 55] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2009] [Revised: 12/23/2009] [Accepted: 01/07/2010] [Indexed: 01/26/2023]
Abstract
The published data remain inconsistent on association between apolipoprotein E (APOE) gene variations and plasma levels of C-reactive protein (CRP), mainly because of low statistical power of previous studies. To clarify this question, we analyzed data from large population sample of randomly selected individuals from seven Czech towns (2,886 males and 3,344 females, the HAPIEE [Health, Alcohol, and Psychosocial factors In Eastern Europe] study). In both males and females, the lowest levels of plasma hsCRP were observed in the carriers of the APOE epsilon 4 epsilon 4 and epsilon 4 epsilon 3 genotypes. The median (interquartile range, IQR) concentration of hsCRP in carriers of the most common APOE epsilon 3 epsilon 3 genotype (two-thirds of participants) was 1.13 mg/l (IQR, 0.56-2.33) in men and 1.23 mg/l (IQR, 0.61-2.65) in women, compared with 0.72 mg/l (IQR, 0.61-0.86) in male and 0.72 mg/l (IQR, 0.61-0.85) in female carriers of APOE epsilon 4 epsilon 3/epsilon 4 epsilon 4 genotypes; the differences were statistically significant (p < 0.001). The association between APOE and CRP was not materially affected by adjustment for age, sex, history of cardiovascular disease, or cardiovascular risk factors. This study, the largest to date, provides robust evidence of an association between plasma hsCRP and the APOE genotype, an association not explained by history of cardiovascular disease nor its risk factors.
Collapse
Affiliation(s)
- Jaroslav A. Hubacek
- Institute of Clinical and Experimental Medicine, Prague, Czech Republic
- Centre for Cardiovascular Research, Prague, Czech Republic
- South Bohemia University, Faculty of Public Health and Social Studies, Ceske Budejovice, Czech Republic
| | - Anne Peasey
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Hynek Pikhart
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Petr Stavek
- Institute of Clinical and Experimental Medicine, Prague, Czech Republic
| | | | - Michael Marmot
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Martin Bobak
- Department of Epidemiology and Public Health, University College London, London, UK
| |
Collapse
|
80
|
Vikhireva O, Pikhart H, Pajak A, Kubinova R, Malyutina S, Peasey A, Topor-Madry R, Nikitin Y, Marmot M, Bobak M. Non-fatal injuries in three Central and Eastern European urban population samples: the HAPIEE study. Eur J Public Health 2009; 20:695-701. [PMID: 19959615 PMCID: PMC2989029 DOI: 10.1093/eurpub/ckp193] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Background: Despite high mortality from injuries and accidents, data on rates and distribution of non-fatal injuries in Central and Eastern European populations are scarce. Methods: Cross-sectional study of random population samples of 45–69-year-old men and women (n = 28 600) from Novosibirsk (Russia), Krakow (Poland) and six Czech towns, participating in the Health, Alcohol and Psychosocial factors In Eastern Europe (HAPIEE) study. Participants provided information on non-fatal injuries in the past 12 months, socio-economic characteristics, alcohol consumption and other covariates. Results: The period prevalence of non-fatal injuries in the last year among Czech, Russian and Polish men was 12.5, 9.4 and 5.3%, respectively; among women, the respective proportions were 9.9, 9.8 and 6.4%. Injury prevalence declined with age in men and increased with age in women. Higher injury prevalence was associated with being unmarried, material deprivation, higher drinking frequency and problem drinking. In the pooled data, the adjusted odds ratio (OR) for the highest versus lowest material deprivation category was 1.57 [95% confidence interval (CI) 1.38–1.79]; for problem drinking, the OR was 1.44 (95% CI 1.23–1.69). Alcohol did not mediate the link between socio-economic status and injury. Conclusion: Non-fatal injuries were associated with material deprivation, other socio-economic characteristics and with alcohol. These results not only underscore the universality of the inequality phenomenon, but also suggest that the mediating role of alcohol in social differentials in non-fatal injury remains an unresolved issue.
Collapse
Affiliation(s)
- Olga Vikhireva
- Department of Epidemiology and Public Health, University College London, UK.
| | | | | | | | | | | | | | | | | | | |
Collapse
|
81
|
Boylan S, Welch A, Pikhart H, Malyutina S, Pajak A, Kubinova R, Bragina O, Simonova G, Stepaniak U, Gilis-Januszewska A, Milla L, Peasey A, Marmot M, Bobak M. Dietary habits in three Central and Eastern European countries: the HAPIEE study. BMC Public Health 2009; 9:439. [PMID: 19951409 PMCID: PMC2791768 DOI: 10.1186/1471-2458-9-439] [Citation(s) in RCA: 72] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2009] [Accepted: 12/01/2009] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The high cardiovascular mortality in Eastern Europe has often been attributed to poor diet, but individual-level data on nutrition in the region are generally not available. This paper describes the methods of dietary assessment and presents preliminary findings on food and nutrient intakes in large general population samples in Russia, Poland and the Czech Republic. METHODS The HAPIEE (Health, Alcohol and Psychosocial factors In Eastern Europe) study examined random samples of men and women aged 45-69 years at baseline in Novosibirsk (Russia), Krakow (Poland) and six Czech urban centres in 2002-2005. Diet was assessed using a food frequency questionnaire (at least 136 items); complete dietary information was available for 26,870 persons. RESULTS Total energy intakes among men ranged between 8.7 MJ in the Czech sample and 11.7 MJ in the Russian sample, while among women, energy intakes ranged between 8.2 MJ in the Czech sample and 9.8 MJ in the Russian sample. A Healthy Diet Indicator (HDI), ranging from a score of 0 (lowest) to 7 (highest), was developed using the World Health Organisation's (WHO) guidelines for the prevention of chronic diseases. The mean HDI scores were low, ranging from 1.0 (SD = 0.7) among the Polish subjects to 1.7 (SD = 0.8) among the Czech females. Very few subjects met the WHO recommended intakes for complex carbohydrates, pulses or nuts; intakes of saturated fatty acids, sugar and protein were too high. Only 16% of Polish subjects met the WHO recommendation for polyunsaturated fat intake. Consumption of fruits and vegetables was lower than recommended, especially among those Russian subjects who were assessed during the low intake season. Fewer than 65% of subjects consumed adequate amounts of calcium, magnesium and potassium, when compared with the United Kingdom's Reference Nutrient Intake. CONCLUSION This first large scale study of individual-based dietary intakes in the general population in Eastern Europe implies that intakes of saturated fat, sugar and complex carbohydrates are a cause for concern. The development of country-specific nutritional tools must be encouraged and nutritional campaigns must undergo continuing development.
Collapse
Affiliation(s)
- Sinéad Boylan
- Department of Epidemiology and Public Health, University College London, London, UK.
| | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
82
|
Bobak M, Richards M, Malyutina S, Kubinova R, Peasey A, Pikhart H, Shishkin S, Nikitin Y, Marmot M. Association between year of birth and cognitive functions in Russia and the Czech Republic: cross-sectional results of the HAPIEE study. Neuroepidemiology 2009; 33:231-9. [PMID: 19641328 DOI: 10.1159/000229777] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2009] [Accepted: 05/04/2009] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVES To assess differences in cognitive functions by year of birth in Russia and the Czech Republic. METHODS A cross-sectional study in the general population of Novosibirsk (Russia) and 6 cities of the Czech Republic recruited random samples of men and women (3,874 Russians, 3,626 Czechs) aged 45-69 years in 2002 (i.e. born in 1933-1957). Word recall, verbal fluency (number of animals named in 1 min) and letter search were assessed in a clinic. RESULTS Except letter search in men, we found similar levels of cognitive functioning in Russians and Czechs in the youngest subjects and a steeper association of functioning with year of birth in Russia than in the Czech Republic. For example, the difference in the mean word recall, associated with 10 years difference in year of birth, was 0.9 (SE 0.06) words in Russian men, compared to 0.4 (0.06) words in Czech men; in women, these figures were 0.8 (0.05) and 0.3 (0.05), respectively. For all outcomes, except letter search in men, the interactions between year of birth and country were statistically highly significant, and the differences in the year of birth effects between countries were largely unexplained by socioeconomic indicators and risk factors. CONCLUSION The slope of association between lower cognitive functioning and earlier year of birth is much steeper in Russia than in the Czech Republic. Given that poor cognitive functioning is a risk factor for dementia, long-term follow-up of this cohort and other studies into population rates of cognitive impairment in Russia should be a priority.
Collapse
Affiliation(s)
- Martin Bobak
- MRC Unit for Lifelong Health, University College London, London WC1E 6BT, UK.
| | | | | | | | | | | | | | | | | |
Collapse
|
83
|
Pikhart H, Hubacek JA, Kubinova R, Nicholson A, Peasey A, Capkova N, Poledne R, Bobak M. Depressive symptoms and levels of C-reactive protein: a population-based study. Soc Psychiatry Psychiatr Epidemiol 2009; 44:217-22. [PMID: 18696000 DOI: 10.1007/s00127-008-0422-1] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2008] [Accepted: 07/14/2008] [Indexed: 12/14/2022]
Abstract
BACKGROUND Depression and depressive symptoms have been repeatedly linked to elevated levels of C-reactive protein (CRP) but questions remain as to the statistical robustness of the association and particularly whether the association between depression and CRP reflects the presence of a chronic disease. METHODS A random sample of 6,126 men and women aged 45-69 years was examined in a cross-sectional study in seven towns in the Czech Republic. Depressive symptoms were assessed by the Center for Epidemiologic Studies Depression (CESD) scale. RESULTS Center for Epidemiologic Studies Depression score was significantly related to increased levels of CRP in a linear fashion. After controlling for a range of potential confounders, subjects with depressive symptoms (CESD score >or= 16) had CRP concentrations 0.43 mg/l (95% CI 0.16-0.72) higher than those without symptoms. The association remained significant when study sample was restricted to healthy subjects; among individuals who did not report any chronic disease, the difference between those with and without depressive symptoms was 0.44 mg/l (95% CI 0.14-0.74), and among persons who did not visit a doctor in the last 12 months the difference was 1.20 mg/l (95% CI 0.52-1.87). CONCLUSIONS These results confirm that there is a statistically robust association between depressive symptoms and increased levels of CRP. We did not find evidence that the association is due presence of a chronic condition.
Collapse
Affiliation(s)
- Hynek Pikhart
- Dept. of Epidemiology and Public Health, University College London, London, UK.
| | | | | | | | | | | | | | | |
Collapse
|
84
|
Hubacek JA, Bohuslavova R, Kuthanova L, Kubinova R, Peasey A, Pikhart H, Marmot MG, Bobak M. The FTO gene and obesity in a large Eastern European population sample: the HAPIEE study. Obesity (Silver Spring) 2008; 16:2764-6. [PMID: 18833210 DOI: 10.1038/oby.2008.421] [Citation(s) in RCA: 54] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Variants in the FTO (oxoglutarate-dependent nucleic acid demethylase) gene have been associated with the BMI determination in Western European and North American populations. To widen the geographical coverage of the FTO studies, we have analyzed the association between the FTO gene variant rs17817449 (G>C) and obesity in a Slavic Eastern European population. A total of 3,079 males and 3,602 females 45-69 years old were randomly selected from population registers of seven Czech cities. We examined three indices of obesity: BMI (kg/m(2)), waist circumference, and waist-to-hip ratio (WHR). The FTO rs17817449 variant was significantly associated with BMI both in males (GG 28.7 +/- 4.1; GT 28.3 +/- 3.9; TT 28.0 +/- 3.9; P = 0.003) and females (GG 28.7 +/- 5.2; GT 28.2 +/- 5.1; TT 27.2 +/- 4.9; P < 0.001); the associations were not affected by adjustment for age, smoking, socioeconomic status, and physical activity. The FTO variant was also associated with waist circumference (difference between GG and TT was 1.1 cm (P = 0.043) in men and 2.4 cm (P < 0.001) in women) but this relationship disappeared after adjustment for BMI. Similarly, BMI explained the weak association of FTO with WHR and C-reactive protein. FTO was not associated with plasma total and high-density lipoprotein cholesterol, triglycerides, blood glucose, and blood pressure. These results confirm that in a Slavic population the FTO variant is strongly associated with BMI but not with other risk factors.
Collapse
Affiliation(s)
- Jaroslav A Hubacek
- Laboratory of Atherosclerosis Research, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | | | | | | | | | | | | | | |
Collapse
|
85
|
Vrablik M, Ceska R, Adamkova V, Peasey A, Pikhart H, Kubinova R, Marmot M, Bobak M, Hubacek JA. MLXIPL variant in individuals with low and high triglyceridemia in white population in Central Europe. Hum Genet 2008; 124:553-5. [PMID: 18946681 DOI: 10.1007/s00439-008-0577-6] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2008] [Accepted: 10/16/2008] [Indexed: 11/26/2022]
Abstract
We tested the hypothesis that the MLXIPL rs3812316 variant predicts plasma triglyceride (TG) levels. We compared three groups of adult individuals: 162 persons with TG > 10 mmol/L, 266 persons with TG < 0.65 mmol/L, and 2,043 population-based controls (range of TG concentrations 0.7-8.7 mmol/L). We found a small difference in the frequency of the Gln allele carriers between population controls (20.4%) and persons with low TG (26.3%, P = 0.033). We found no difference between individuals with high TG and population controls, and there was no association between the MLXIPL variant and plasma TG levels among the population controls.
Collapse
Affiliation(s)
- Michal Vrablik
- 3rd Internal Department, 1st Medical Faculty, Charles University, Prague, Czech Republic
| | | | | | | | | | | | | | | | | |
Collapse
|
86
|
Boyle P, Anderson B, Andersson L, Ariyaratne Y, Auleley GR, Barbacid M, Bartelink H, Baselga J, Behbehani K, Belardelli F, Berns A, Bishop J, Brawley O, Burns H, Clanton M, Cox B, Currow D, Dangou JM, de Valeriola D, Dinshaw K, Eggermont A, Fitzpatrick J, Forstmane M, Garaci E, Gavin A, Kakizoe T, Kasler M, Keita N, Kerr D, Khayat D, Khleif S, Khuhaprema T, Knezevic T, Kubinova R, Mallath M, Martin-Moreno J, McCance D, McVie J, Merriman A, Ngoma T, Nowacki M, Orgelbrand J, Park JG, Pierotti M, Ashton L, Puska P, Escobar C, Rajan B, Rajkumar T, Ringborg U, Robertson C, Rodger A, Roovali L, Santini L, Sarhan M, Seffrin J, Semiglazov V, Shrestha B, Soo K, Stamenic V, Tamblyn C, Thomas R, Tuncer M, Tursz T, Vaitkiene R, Vallejos C, Veronesi U, Wojtyla A, Yach D, Yoo KY, Zatonski W, Zaridze D, Zeng YX, Zhao P, Zheng T. Need for global action for cancer control. Ann Oncol 2008; 19:1519-21. [DOI: 10.1093/annonc/mdn426] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
|
87
|
Webb E, Kuh D, Peasey A, Pajak A, Malyutina S, Kubinova R, Topor-Madry R, Denisova D, Capkova N, Marmot M, Bobak M. Childhood socioeconomic circumstances and adult height and leg length in central and eastern Europe. J Epidemiol Community Health 2008; 62:351-7. [PMID: 18339829 DOI: 10.1136/jech.2006.056457] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BACKGROUND Adult height and leg length have been shown to be positively associated with childhood socioeconomic circumstances in several studies in western populations. This study will determine whether similar associations are observable in settings with different social histories, and will assess whether adult leg length is more strongly associated than adult height. METHODS Random samples of men and women aged 45-69 years were taken from population registers in Novosibirsk (Russia), Krakow (Poland) and six towns of the Czech Republic, recruiting nearly 29,000 people. Participants completed a questionnaire that included questions regarding their mother's and father's education (not available in the Czech Republic) and ownership of several household items when they were 10 years old. Participants' standing and sitting heights were measured and from these an estimate of leg length was derived. Associations between indicators of childhood socioeconomic circumstances and anthropometric measures were analysed using linear regression. RESULTS Russian individuals were shorter and reported fewer household assets at the age of 10 years than Czech and Polish individuals. Parental education and household assets were strongly associated with each other and both were independently associated with height, leg length and trunk length. Height was associated with childhood circumstances more strongly than leg length. The associations of childhood circumstances with the leg/trunk ratio were weak and inconsistent. CONCLUSION In these urban populations in eastern Europe, adult height is associated with childhood conditions at least as strongly as leg length.
Collapse
Affiliation(s)
- E Webb
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London WC1E 6BT, UK.
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
88
|
Webb EA, Kuh D, Pajak A, Kubinova R, Malyutina S, Bobak M. Estimation of secular trends in adult height, and childhood socioeconomic circumstances in three Eastern European populations. Econ Hum Biol 2008; 6:228-236. [PMID: 18468498 DOI: 10.1016/j.ehb.2008.03.001] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2008] [Accepted: 03/27/2008] [Indexed: 05/26/2023]
Abstract
The objective of these analyses was to estimate the strength and direction of secular trends in adult height and childhood socioeconomic circumstances in eight towns in three Eastern European countries in the mid-20th century, and to assess the extent to which childhood conditions might explain the height differences. We used cross-sectional data from the baseline survey of the Health, Alcohol and Psychosocial factors in Eastern Europe (HAPIEE) study, conducted in 2002-2005. The study examined 24,012 men and women born between 1933 and 1957, randomly selected from the general populations of Novosibirsk (Russia), Krakow (Poland) and six towns of the Czech Republic. To allow for age-related height loss we estimated maximum attained height. Parental education and household item ownership at age 10 were used as markers of childhood socioeconomic conditions. In all 5-year birth cohorts, Novosibirsk men and women were shortest. There were positive and statistically significant secular trends in childhood conditions and in maximum adult height. Adjustment for childhood conditions explained about one third of the trend in height. There appeared to be a small reduction in height of persons born during the Second World War which was, however, only significant in Novosibirsk. These results suggest that secular trends in height mirror, but are not wholly explained by, trends in socioeconomic circumstances in early life.
Collapse
Affiliation(s)
- Elizabeth Alice Webb
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London WC1E 6BT, UK.
| | | | | | | | | | | |
Collapse
|
89
|
Nicholson A, Pikhart H, Pajak A, Malyutina S, Kubinova R, Peasey A, Topor-Madry R, Nikitin Y, Capkova N, Marmot M, Bobak M. Socio-economic status over the life-course and depressive symptoms in men and women in Eastern Europe. J Affect Disord 2008; 105:125-36. [PMID: 17561267 DOI: 10.1016/j.jad.2007.04.026] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2007] [Revised: 04/27/2007] [Accepted: 04/27/2007] [Indexed: 11/23/2022]
Abstract
OBJECTIVE Research into social inequalities in depression has studied western populations but data from non-western countries are sparse. In this paper, we investigate the extent of social inequalities in depression in Eastern Europe, the relative importance of social position at different points of the life-course, and whether social patterning of depression differs between men and women. METHOD A cross-sectional study examined 12,053 men and 13,582 women in Russia, Poland and the Czech Republic. Depressive symptoms (16 or above on the CESD-20) were examined in relation to socio-economic circumstances at three phases of the life-course: childhood (household amenities and father's education); own education; current circumstances (financial difficulties and possession of household items). RESULTS Pronounced social differences in depression exist in men and women throughout Eastern Europe. Depression was largely influenced by current circumstances rather than by early life or education, with effects stronger in Poland and Russia. Odds ratios in men for current disadvantage were 3.16 [95% CI: 2.57-3.89], 3.16 [2.74-3.64] and 2.17 [1.80-2.63] in Russia, Poland and the Czech Republic respectively. Social variables did not explain the female excess in depression, which varied from 2.91 [2.58-3.27] in Russia to 1.90 [1.74-2.08] in Poland. Men were more affected by adult disadvantage than women, leading to narrower sex differentials in the presence of disadvantage. LIMITATIONS Cross-sectional data with recall of childhood conditions were used. CONCLUSION Current social circumstances are the strongest influence on increased depressive symptoms in countries which have recently experienced social changes.
Collapse
Affiliation(s)
- Amanda Nicholson
- International Institute for Health and Society, Department of Epidemiology and Public Health, University College London, UK.
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
90
|
Dragano N, Bobak M, Wege N, Peasey A, Verde PE, Kubinova R, Weyers S, Moebus S, Möhlenkamp S, Stang A, Erbel R, Jöckel KH, Siegrist J, Pikhart H. Neighbourhood socioeconomic status and cardiovascular risk factors: a multilevel analysis of nine cities in the Czech Republic and Germany. BMC Public Health 2007; 7:255. [PMID: 17888149 PMCID: PMC2099437 DOI: 10.1186/1471-2458-7-255] [Citation(s) in RCA: 102] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2007] [Accepted: 09/21/2007] [Indexed: 11/10/2022] Open
Abstract
Background Previous studies have shown that deprived neighbourhoods have higher cardiovascular mortality and morbidity rates. Inequalities in the distribution of behaviour related risk factors are one possible explanation for this trend. In our study, we examined the association between cardiovascular risk factors and neighbourhood characteristics. To assess the consistency of associations the design is cross-national with data from nine industrial towns from the Czech Republic and Germany. Methods We combined datasets from two population based studies, one in Germany ('Heinz Nixdorf Recall (HNR) Study'), and one in the Czech Republic ('Health, Alcohol and Psychosocial Factors in Eastern Europe (HAPIEE) Study'). Participation rates were 56% in the HNR and 55% in the HAPIEE study. The subsample for this particular analysis consists of 11,554 men and women from nine German and Czech towns. Census based information on social characteristics of 326 neighbourhoods were collected from local administrative authorities. We used unemployment rate and overcrowding as area-level markers of socioeconomic status (SES). The cardiovascular risk factors obesity, hypertension, smoking and physical inactivity were used as response variables. Regression models were complemented by individual-level social status (education) and relevant covariates. Results Smoking, obesity and low physical activity were more common in deprived neighbourhoods in Germany, even when personal characteristics including individual education were controlled for. For hypertension associations were weak. In the Czech Republic associations were observed for smoking and physical inactivity, but not for obesity and hypertension when individual-level covariates were adjusted for. The strongest association was found for smoking in both countries: in the fully adjusted model the odds ratio for 'high unemployment rate' was 1.30 [95% CI 1.02–1.66] in the Czech Republic and 1.60 [95% CI 1.29–1.98] in Germany. Conclusion In this comparative study, the effects of neighbourhood deprivation varied by country and risk factor; the strongest and most consistent effects were found for smoking. Results indicate that area level SES is associated with health related lifestyles, which might be a possible pathway linking social status and cardiovascular disease. Individual-level education had a considerable influence on the association between neighbourhood characteristics and risk factors.
Collapse
Affiliation(s)
- Nico Dragano
- Department of Medical Sociology, Heinrich-Heine-University Düsseldorf, Germany
| | - Martin Bobak
- International Institute for Health and Society, Department of Epidemiology and Public Health, University College London, UK
| | - Natalia Wege
- Department of Medical Sociology, Heinrich-Heine-University Düsseldorf, Germany
| | - Anne Peasey
- International Institute for Health and Society, Department of Epidemiology and Public Health, University College London, UK
| | - Pablo E Verde
- Department of Medical Sociology, Heinrich-Heine-University Düsseldorf, Germany
| | - Ruzena Kubinova
- Centre for Environmental Health, National Institute of Public Health, Prague, Czech Republic
| | - Simone Weyers
- Department of Medical Sociology, Heinrich-Heine-University Düsseldorf, Germany
| | - Susanne Moebus
- Institute for Medical Informatics, Biometry and Epidemiology, University Duisburg-Essen, Germany
| | - Stefan Möhlenkamp
- Clinic of Cardiology, West-German Heart Center Essen, University Duisburg-Essen, Germany
| | - Andreas Stang
- Institute of Medical Epidemiology, Biometry and Informatics, University Hospital of Halle, Germany
| | - Raimund Erbel
- Clinic of Cardiology, West-German Heart Center Essen, University Duisburg-Essen, Germany
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, University Duisburg-Essen, Germany
| | - Johannes Siegrist
- Department of Medical Sociology, Heinrich-Heine-University Düsseldorf, Germany
| | - Hynek Pikhart
- International Institute for Health and Society, Department of Epidemiology and Public Health, University College London, UK
| |
Collapse
|
91
|
Peasey A, Bobak M, Kubinova R, Malyutina S, Pajak A, Tamosiunas A, Pikhart H, Nicholson A, Marmot M. Determinants of cardiovascular disease and other non-communicable diseases in Central and Eastern Europe: rationale and design of the HAPIEE study. BMC Public Health 2006; 6:255. [PMID: 17049075 PMCID: PMC1626086 DOI: 10.1186/1471-2458-6-255] [Citation(s) in RCA: 212] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2006] [Accepted: 10/18/2006] [Indexed: 11/26/2022] Open
Abstract
Background Over the last five decades, a wide gap in mortality opened between western and eastern Europe; this gap increased further after the dramatic fluctuations in mortality in the former Soviet Union (FSU) in the 1990s. Recent rapid increases in mortality among lower socioeconomic groups in eastern Europe suggests that socioeconomic factors are powerful determinants of mortality in these populations but the more proximal factors linking the social conditions with health remain unclear. The HAPIEE (Health, Alcohol and Psychosocial factors In Eastern Europe) study is a prospective cohort study designed to investigate the effect of classical and non-conventional risk factors and social and psychosocial factors on cardiovascular and other non-communicable diseases in eastern Europe and the FSU. The main hypotheses of the HAPIEE study relate to the role of alcohol, nutrition and psychosocial factors. Methods and design The HAPIEE study comprises four cohorts in Russia, Poland, the Czech Republic and Lithuania; each consists of a random sample of men and women aged 45–69 years old at baseline, stratified by gender and 5 year age groups, and selected from population registers. The total planned sample size is 36,500 individuals. Baseline information from the Czech Republic, Russia and Poland was collected in 2002–2005 and includes data on health, lifestyle, diet (food frequency), socioeconomic circumstances and psychosocial factors. A short examination included measurement of anthropometric parameters, blood pressure, lung function and cognitive function, and a fasting venous blood sample. Re-examination of the cohorts in 2006–2008 focuses on healthy ageing and economic well-being using face-to-face computer assisted personal interviews. Recruitment of the Lithuanian cohort is ongoing, with baseline and re-examination data being collected simultaneously. All cohorts are being followed up for mortality and non-fatal cardiovascular events. Discussion The HAPIEE study will provide important new insights into social, behavioural and biological factors influencing mortality and cardiovascular risk in the region.
Collapse
Affiliation(s)
- Anne Peasey
- International Institute for Health and Society, Department of Epidemiology and Public Health, University College London, UK
| | - Martin Bobak
- International Institute for Health and Society, Department of Epidemiology and Public Health, University College London, UK
| | - Ruzena Kubinova
- Centre for Environmental Health, National Institute of Public Health, Prague, Czech Republic
| | - Sofia Malyutina
- Institute of Internal Medicine, Russian Academy of Medical Sciences, Novosibirsk, Russia
| | - Andrzej Pajak
- Department of Epidemiology and Population Studies, Institute of Public Health, Faculty of Health Care, Jagiellonian University Medical College, Krakow, Poland
| | - Abdonas Tamosiunas
- Department of Population Studies, Institute of Cardiology of Kaunas University of Medicine, Kaunas, Lithuania
| | - Hynek Pikhart
- International Institute for Health and Society, Department of Epidemiology and Public Health, University College London, UK
| | - Amanda Nicholson
- International Institute for Health and Society, Department of Epidemiology and Public Health, University College London, UK
| | - Michael Marmot
- International Institute for Health and Society, Department of Epidemiology and Public Health, University College London, UK
| |
Collapse
|
92
|
Bobak M, Pikhart H, Pajak A, Kubinova R, Malyutina S, Sebakova H, Topor-Madry R, Nikitin Y, Marmot M. Depressive symptoms in urban population samples in Russia, Poland and the Czech Republic. Br J Psychiatry 2006; 188:359-65. [PMID: 16582063 DOI: 10.1192/bjp.188.4.359] [Citation(s) in RCA: 64] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
BACKGROUND Relatively little is known about depression in countries that were formerly part of the Soviet Union, especially Russia. AIMS To investigate the rates and distribution of depressive symptoms in urban population samples in Russia, Poland and the Czech Republic. METHOD A cross-sectional study was conducted in randomly selected men and women aged 45-64 years (n=2151 in total, response rate 69%) in Novosibirsk (Russia), Krakow (Poland) and Karvina (Czech Republic). The point prevalence of depressive symptoms in the past week was defined as a score of at least 16 on the Center for Epidemiological Studies Depression scale. RESULTS In men the prevalence of depressive symptoms was 23% in Russia, 21% in Poland and 19% in the Czech Republic; in women the rates were 44%, 40% and 34% respectively. Depressive symptoms were positively associated with material deprivation, being unmarried and binge drinking. The association between education and depression was inverse in Poland and the Czech Republic but positive in Russia. CONCLUSIONS The prevalence of depressive symptoms in these eastern European urban populations was relatively high; as in other countries, it was associated with alcohol and several sociodemographic factors.
Collapse
Affiliation(s)
- Martin Bobak
- International Centre for Health and Society, Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London WC1E 6BT, UK.
| | | | | | | | | | | | | | | | | |
Collapse
|
93
|
Bobak M, Pikhart H, Kubinova R, Malyutina S, Pajak A, Sebakova H, Topor-Madry R, Nikitin Y, Caan W, Marmot M. The association between psychosocial characteristics at work and problem drinking: a cross-sectional study of men in three Eastern European urban populations. Occup Environ Med 2005; 62:546-50. [PMID: 16046607 PMCID: PMC1741061 DOI: 10.1136/oem.2004.017202] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BACKGROUND Psychosocial factors at work are thought to influence health partly through health behaviours. AIMS To examine the association between effort-reward imbalance and job control and several alcohol related measures in three eastern European populations. METHODS A cross-sectional study was conducted in Novosibirsk (Russia), Krakow (Poland), and Karvina (Czech Republic). The participants completed a questionnaire that included effort-reward at work, job control, and a number of sociodemographic variables. Annual alcohol intake, annual number of drinking sessions, the mean dose of alcohol per drinking session, and binge drinking (> or =80 g of ethanol in one session at least once a week) were based on graduated frequencies in the questionnaire. Data were also available on problem drinking (> or =2 positive answers on CAGE questionnaire) and negative social consequences of drinking. All male participants in full employment (n = 694) were included in the present analyses. RESULTS After controlling for age and centre, all indices of alcohol consumption and problem drinking were associated with the effort-reward ratio. Adjustment for material deprivation did not change the results but adjustment for depressive symptoms reduced the estimated effects. Job control was not associated with any of the alcohol related outcomes. CONCLUSIONS The imbalance of effort-reward at work is associated with increased alcohol intake and problem drinking. The association appears to be partly mediated by depressive symptoms, which might be either an antecedent or a consequence of men's drinking behaviour.
Collapse
Affiliation(s)
- M Bobak
- International Centre for Health and Society, Department of Epidemiology and Public Health, University College London, UK.
| | | | | | | | | | | | | | | | | | | |
Collapse
|
94
|
Peasey A, Bobak M, Malyutina S, Pajak A, Kubinova R, Pikhart H, Kurilovitch S, Poledne R, Marmot M. Do lipids contribute to the lack of cardio-protective effect of binge drinking: alcohol consumption and lipids in three eastern European countries. Alcohol Alcohol 2005; 40:431-5. [PMID: 15939709 DOI: 10.1093/alcalc/agh161] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
AIMS The cardio-protective effect of moderate alcohol consumption is partly mediated by HDL cholesterol. However, epidemiological studies suggest that binge drinking may not be associated with reduced risk of heart disease; a possible explanation is that the relationship of blood lipids with binge drinking is different from that with moderate intake. We investigated this hypothesis in a population study in three eastern European countries. METHODS We conducted a cross-sectional study in random population samples in Novosibirsk (Russia), Krakow (Poland) and Karvina (Czech Republic). A sub-sample of 282 men aged 45-64 years who provided a fasting blood sample were analysed. Annual alcohol intake and the frequency of heavy binge drinking (> or =140 g of ethanol per session) were estimated from a graduated frequency questionnaire. RESULTS Annual intake of alcohol was positively associated with total and HDL cholesterol. After controlling for annual intake, the frequency of heavy binge drinking was associated with increased concentrations of total and HDL cholesterol. By combining annual intake and drinking pattern, we found that men consuming >8 l of alcohol per year who had a heavy binge at least once a month had the mean total, HDL and LDL cholesterol 1.69 (SE 0.35), 0.61 (0.11) and 0.97 (0.34) mmol/l, respectively, higher than non-drinkers; this resulted in more favourable ratios of total and LDL cholesterol relative to HDL cholesterol in frequent heavy bingers. Triglycerides were not related to alcohol intake or binge drinking. CONCLUSIONS Blood lipids do not seem to explain the apparent lack of the cardio-protective effect of binge drinking reported in epidemiological studies.
Collapse
Affiliation(s)
- Anne Peasey
- International Centre for Health and Society, Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London WCIE 6BT UK.
| | | | | | | | | | | | | | | | | |
Collapse
|
95
|
Pikhart H, Bobak M, Pajak A, Malyutina S, Kubinova R, Topor R, Sebakova H, Nikitin Y, Marmot M. Psychosocial factors at work and depression in three countries of Central and Eastern Europe. Soc Sci Med 2004; 58:1475-82. [PMID: 14759691 DOI: 10.1016/s0277-9536(03)00350-2] [Citation(s) in RCA: 134] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Psychosocial factors at work have been found to predict a range of health outcomes but their effect on mental health outcomes has not been extensively studied. This paper explores the relationship between psychosocial factors at work and depression in three countries of Central and Eastern Europe. The data come from a cross-sectional study of working men (n = 645) and women (n = 523) aged 45-64 years, randomly selected from population registers in Novosibirsk (Russia), Krakow (Poland) and Karvina-Havirov (Czech Republic). The questionnaire included questions on the effort and reward at work, job control, the full CES-D scale of depression, and a range of other characteristics. Linear regression was used to estimate the association between depression score and work characteristics: the logarithm of the effort-reward ratio, and continuous job control score. The means of the depression score were 10.5 for men and 14.2 for women. After controlling for age, sex and country, effort-reward ratio (logarithmically transformed) was strongly related to depression score; a 1 SD increase in the log transformed effort-reward ratio was associated with an increase in the depression of 2.0 points (95% CI 1.5; 2.4), and further adjustment did not materially change the effect. Job control was inversely associated with depression score in Poland and the Czech Republic (not in Russia) but the association was largely eliminated by controlling for socioeconomic characteristics. This study suggests that the effort-reward imbalance at work is related to prevalence of depression in these central and eastern European populations.
Collapse
Affiliation(s)
- Hynek Pikhart
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London WC1E 6BT, UK.
| | | | | | | | | | | | | | | | | |
Collapse
|
96
|
Bobak M, Room R, Pikhart H, Kubinova R, Malyutina S, Pajak A, Kurilovitch S, Topor R, Nikitin Y, Marmot M. Contribution of drinking patterns to differences in rates of alcohol related problems between three urban populations. J Epidemiol Community Health 2004; 58:238-42. [PMID: 14966239 PMCID: PMC1732693 DOI: 10.1136/jech.2003.011825] [Citation(s) in RCA: 118] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
OBJECTIVES To examine, on empirical data, whether drinking patterns, in addition to overall alcohol consumption, contribute to differences in rates of alcohol related problems between populations. DESIGN Cross sectional survey. SETTINGS One Russian, one Polish, and one Czech city. PARTICIPANTS 1118 men and 1125 women randomly selected from population registers. MAIN OUTCOME MEASURES Problem drinking; negative social consequences of drinking; alcohol consumption and drinking pattern. RESULTS Rates of problem drinking and of negative consequences of drinking were much higher in Russian men (35% and 18%, respectively) than in Czechs (19% and 10%) or Poles (14% and 8%). This contrasts with substantially lower mean annual intake of alcohol reported by Russian men (4.6 litres) than by Czech men (8.5 litres), and with low mean drinking frequency in Russia (67 drinking sessions per year, compared with 179 sessions among Czech men). However, Russians consumed the highest dose of alcohol per drinking session (means 71 g in Russians, 46 g in Czechs, and 45 g in Poles), and had the highest prevalence of binge drinking. In women, the levels of alcohol related problems and of drinking were low in all countries. In ecological and individual level analyses, indicators of binge drinking explained a substantial part of differences in rates of problem drinking and negative consequences of drinking between the three countries. CONCLUSIONS These empirical data confirm high levels of alcohol related problems in Russia despite low volume of drinking. The binge drinking pattern partly explains this paradoxical finding. Overall alcohol consumption does not suffice as an estimate of alcohol related problems at the population level.
Collapse
Affiliation(s)
- M Bobak
- International Centre for Health and Society, Department of Epidemiology and Public Health, University College London, London, UK.
| | | | | | | | | | | | | | | | | | | |
Collapse
|