Literature DB >> 26849899

Educational class inequalities in the incidence of coronary heart disease in Europe.

Giovanni Veronesi1, Marco M Ferrario1, Kari Kuulasmaa2, Martin Bobak3, Lloyd E Chambless4, Veikko Salomaa2, Stefan Soderberg5, Andrzej Pajak6, Torben Jørgensen7, Philippe Amouyel8, Dominique Arveiler9, Wojciech Drygas10, Jean Ferrieres11, Simona Giampaoli12, Frank Kee13, Licia Iacoviello14, Sofia Malyutina15, Annette Peters16, Abdonas Tamosiunas17, Hugh Tunstall-Pedoe18, Giancarlo Cesana19.   

Abstract

OBJECTIVE: To estimate the burden of social inequalities in coronary heart disease (CHD) and to identify their major determinants in 15 European populations.
METHODS: The MORGAM (MOnica Risk, Genetics, Archiving and Monograph) study comprised 49 cohorts of middle-aged European adults free of CHD (110 928 individuals) recruited mostly in the mid-1980s and 1990s, with comparable assessment of baseline risk and follow-up procedures. We derived three educational classes accounting for birth cohorts and used regression-based inequality measures of absolute differences in CHD rates and HRs (ie, Relative Index of Inequality, RII) for the least versus the most educated individuals.
RESULTS: N=6522 first CHD events occurred during a median follow-up of 12 years. Educational class inequalities accounted for 343 and 170 additional CHD events per 100 000 person-years in the least educated men and women compared with the most educated, respectively. These figures corresponded to 48% and 71% of the average event rates in each gender group. Inequalities in CHD mortality were mainly driven by incidence in the Nordic countries, Scotland and Lithuania, and by 28-day case-fatality in the remaining central/South European populations. The pooled RIIs were 1.6 (95% CI 1.4 to 1.8) in men and 2.0 (1.7 to 2.4) in women, consistently across population. Risk factors accounted for a third of inequalities in CHD incidence; smoking was the major mediator in men, and High-Density-Lipoprotein (HDL) cholesterol in women.
CONCLUSIONS: Social inequalities in CHD are still widespread in Europe. Since the major determinants of inequalities followed geographical and gender-specific patterns, European-level interventions should be tailored across different European regions. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

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Year:  2016        PMID: 26849899     DOI: 10.1136/heartjnl-2015-308909

Source DB:  PubMed          Journal:  Heart        ISSN: 1355-6037            Impact factor:   5.994


  16 in total

1.  Protein Intake and Physical Activity in Newly Diagnosed Patients with Acute Coronary Syndrome: A 5-Year Longitudinal Study.

Authors:  Andrea Greco; Agostino Brugnera; Roberta Adorni; Marco D'Addario; Francesco Fattirolli; Cristina Franzelli; Cristina Giannattasio; Alessandro Maloberti; Francesco Zanatta; Patrizia Steca
Journal:  Nutrients       Date:  2021-02-16       Impact factor: 5.717

2.  Genetically modulated educational attainment and coronary disease risk.

Authors:  Lingyao Zeng; Ioanna Ntalla; Thorsten Kessler; Adnan Kastrati; Jeanette Erdmann; John Danesh; Hugh Watkins; Nilesh J Samani; Panos Deloukas; Heribert Schunkert
Journal:  Eur Heart J       Date:  2019-08-01       Impact factor: 29.983

3.  Cardiovascular risk factors-using repeated cross-sectional surveys to assess time trends in socioeconomic inequalities in neighbouring countries.

Authors:  John Hughes; Zubair Kabir; Frank Kee; Kathleen Bennett
Journal:  BMJ Open       Date:  2017-04-03       Impact factor: 2.692

4.  Two tales of cardiovascular risks-middle-aged women living in Sweden and Scotland: a cross-sectional comparative study.

Authors:  Carina Wennerholm; Catherine Bromley; AnnaKarin Johansson; Staffan Nilsson; John Frank; Tomas Faresjö
Journal:  BMJ Open       Date:  2017-08-07       Impact factor: 2.692

5.  The association between education and cardiovascular disease incidence is mediated by hypertension, diabetes, and body mass index.

Authors:  Irene R Dégano; Jaume Marrugat; Maria Grau; Betlem Salvador-González; Rafel Ramos; Alberto Zamora; Ruth Martí; Roberto Elosua
Journal:  Sci Rep       Date:  2017-09-28       Impact factor: 4.379

6.  Number of Offspring and Cardiovascular Disease Risk in Men and Women: The Role of Shared Lifestyle Characteristics.

Authors:  Maria C Magnus; Stamatina Iliodromiti; Debbie A Lawlor; Janet M Catov; Scott M Nelson; Abigail Fraser
Journal:  Epidemiology       Date:  2017-11       Impact factor: 4.822

7.  Understanding the consequences of education inequality on cardiovascular disease: mendelian randomisation study.

Authors:  Alice R Carter; Dipender Gill; Neil M Davies; Amy E Taylor; Taavi Tillmann; Julien Vaucher; Robyn E Wootton; Marcus R Munafò; Gibran Hemani; Rainer Malik; Sudha Seshadri; Daniel Woo; Stephen Burgess; George Davey Smith; Michael V Holmes; Ioanna Tzoulaki; Laura D Howe; Abbas Dehghan
Journal:  BMJ       Date:  2019-05-22

8.  Psychosocial and socioeconomic determinants of cardiovascular mortality in Eastern Europe: A multicentre prospective cohort study.

Authors:  Taavi Tillmann; Hynek Pikhart; Anne Peasey; Ruzena Kubinova; Andrzej Pajak; Abdonas Tamosiunas; Sofia Malyutina; Andrew Steptoe; Mika Kivimäki; Michael Marmot; Martin Bobak
Journal:  PLoS Med       Date:  2017-12-06       Impact factor: 11.069

9.  Education and coronary heart disease: mendelian randomisation study.

Authors:  Taavi Tillmann; Julien Vaucher; Aysu Okbay; Hynek Pikhart; Anne Peasey; Ruzena Kubinova; Andrzej Pajak; Abdonas Tamosiunas; Sofia Malyutina; Fernando Pires Hartwig; Krista Fischer; Giovanni Veronesi; Tom Palmer; Jack Bowden; George Davey Smith; Martin Bobak; Michael V Holmes
Journal:  BMJ       Date:  2017-08-30

10.  The Association Between Parity and Subsequent Cardiovascular Disease in Women: The Atherosclerosis Risk in Communities Study.

Authors:  Clare Oliver-Williams; Catherine J Vladutiu; Laura R Loehr; Wayne D Rosamond; Alison M Stuebe
Journal:  J Womens Health (Larchmt)       Date:  2018-11-27       Impact factor: 2.681

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