Literature DB >> 12614692

Socioeconomic differences in dietary patterns among middle-aged men and women.

Pekka Martikainen1, Eric Brunner, Michael Marmot.   

Abstract

The aim of the study is to (i) identify common dietary patterns, (ii) study socioeconomic differences in these dietary patterns, and (iii) assess whether they contribute to socioeconomic differences in biological risk factors. The data come from the Whitehall II study of London civil servants, who participated in the third phase (1991-1993) and were 39-63-years old (N=8004). Food frequency questionnaire and socioeconomic background information was from a questionnaire, and biological risk factors from a medical screening. Six dietary patterns were identified. In reference to high employment grade men, the odds ratios of low grade men consuming the 'unhealthy' or the 'very unhealthy' diet were 1.26 and 3.34, respectively, while the odds for the 'French' diet was 0.13. Among women the corresponding odds were 2.98, 6.19 and 0.25. Adjusting for spouse's socioeconomic status and to a lesser extent smoking and exercise as well as job control attenuate these grade differences somewhat. Among men and women adjusting for dietary patterns accounted for about 25-50 per cent of grade differences in HDL and serum triglyceride levels.

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Year:  2003        PMID: 12614692     DOI: 10.1016/s0277-9536(02)00137-5

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  39 in total

1.  Association of socioeconomic position with health behaviors and mortality.

Authors:  Silvia Stringhini; Séverine Sabia; Martin Shipley; Eric Brunner; Hermann Nabi; Mika Kivimaki; Archana Singh-Manoux
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2.  Cohort effects in age-associated cognitive trajectories.

Authors:  Hiroko H Dodge; Jian Zhu; Ching-Wen Lee; Chung-Chou Ho Chang; Mary Ganguli
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2013-11-23       Impact factor: 6.053

Review 3.  Socio-economic status, cortisol and allostatic load: a review of the literature.

Authors:  Jennifer B Dowd; Amanda M Simanek; Allison E Aiello
Journal:  Int J Epidemiol       Date:  2009-08-31       Impact factor: 7.196

4.  Sociodemographic and lifestyle characteristics in relation to dietary patterns among young Brazilian adults.

Authors:  Maria Teresa A Olinto; Walter C Willett; Denise P Gigante; Cesar G Victora
Journal:  Public Health Nutr       Date:  2010-06-25       Impact factor: 4.022

5.  Socioeconomic Disparities in the Prevalence of Cardiometabolic Risk Factors in Ghanaian Women.

Authors:  Jeffrey Boakye; Danielle Mensah; Swati Sakhuja; Pauline E Jolly; Tomi Akinyemiju
Journal:  Ann Glob Health       Date:  2017-08-08       Impact factor: 2.462

6.  The impact of conventional dietary intake data coding methods on foods typically consumed by low-income African-American and White urban populations.

Authors:  Marc A Mason; Marie Fanelli Kuczmarski; Deanne Allegro; Alan B Zonderman; Michele K Evans
Journal:  Public Health Nutr       Date:  2014-12-01       Impact factor: 4.022

7.  Are socio-economic disparities in diet quality explained by diet cost?

Authors:  Pablo Monsivais; Anju Aggarwal; Adam Drewnowski
Journal:  J Epidemiol Community Health       Date:  2010-12-10       Impact factor: 3.710

8.  Food patterns associated with blood lipids are predictive of coronary heart disease: the Whitehall II study.

Authors:  Sarah A McNaughton; Gita D Mishra; Eric J Brunner
Journal:  Br J Nutr       Date:  2009-03-30       Impact factor: 3.718

9.  Biological and behavioural explanations of social inequalities in coronary heart disease: the Whitehall II study.

Authors:  M G Marmot; M J Shipley; H Hemingway; J Head; E J Brunner
Journal:  Diabetologia       Date:  2008-09-06       Impact factor: 10.122

10.  Impact of neighbourhood food environment on food consumption in children aged 9-10 years in the UK SPEEDY (Sport, Physical Activity and Eating behaviour: Environmental Determinants in Young people) study.

Authors:  Paula Skidmore; Ailsa Welch; Esther van Sluijs; Andrew Jones; Ian Harvey; Flo Harrison; Simon Griffin; Aedín Cassidy
Journal:  Public Health Nutr       Date:  2009-11-16       Impact factor: 4.022

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