Literature DB >> 17077402

Social circumstances and education: life course origins of social inequalities in metabolic risk in a prospective national birth cohort.

Claudia Langenberg1, Diana Kuh, Michael E J Wadsworth, Eric Brunner, Rebecca Hardy.   

Abstract

OBJECTIVES: We investigated the relative importance of education and childhood and adult social class in the risk of metabolic syndrome.
METHODS: We conducted a prospective birth cohort study of 1311 men and 1318 women aged 53 years in 1999, when metabolic syndrome components were measured. Logistic regression analyses were used to calculate relative index of inequality estimates.
RESULTS: Relative to men and women at the highest education levels, men (odds ratio [OR]=2.0; 95% confidence interval [CI]=1.2, 3.2) and women (OR=2.7; 95% CI=1.5, 4.6) with the least education were at twice the risk or more of having the metabolic syndrome. Adjustment for childhood and adult social class strengthened this result among men and weakened it among women. Childhood social class was independently associated with the metabolic syndrome in women (OR=2.0; 95% CI=1.1, 3.6) but not in men (OR=1.1; 95% CI= 0.7, 1.8). Associations between adult social class and the metabolic syndrome or its components were largely accounted for by childhood socioeconomic measures.
CONCLUSIONS: Educational differences should be considered in the design of interventions aimed at reducing the burden of the metabolic syndrome in socially disadvantaged groups.

Entities:  

Mesh:

Year:  2006        PMID: 17077402      PMCID: PMC1698170          DOI: 10.2105/AJPH.2004.049429

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  26 in total

1.  Education and the metabolic syndrome in women.

Authors:  S P Wamala; J Lynch; M Horsten; M A Mittleman; K Schenck-Gustafsson; K Orth-Gomér
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2.  Influence of fathers' social class on cardiovascular disease in middle-aged men.

Authors:  S G Wannamethee; P H Whincup; G Shaper; M Walker
Journal:  Lancet       Date:  1996-11-09       Impact factor: 79.321

3.  Insulin resistance syndrome and childhood social conditions.

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4.  Educational inequalities in the metabolic syndrome and coronary heart disease among middle-aged men and women.

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5.  Glycated haemoglobin, diabetes, and mortality in men in Norfolk cohort of european prospective investigation of cancer and nutrition (EPIC-Norfolk).

Authors:  K T Khaw; N Wareham; R Luben; S Bingham; S Oakes; A Welch; N Day
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6.  Blood cholesterol screening influence of fasting state on cholesterol results and management decisions.

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7.  Household income is associated with the risk of metabolic syndrome in a sex-specific manner.

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8.  A clinical approach for the diagnosis of diabetes mellitus: an analysis using glycosylated hemoglobin levels. Meta-analysis Research Group on the Diagnosis of Diabetes Using Glycated Hemoglobin Levels.

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9.  When does cardiovascular risk start? Past and present socioeconomic circumstances and risk factors in adulthood.

Authors:  E Brunner; M J Shipley; D Blane; G D Smith; M G Marmot
Journal:  J Epidemiol Community Health       Date:  1999-12       Impact factor: 3.710

10.  Social inequality in coronary risk: central obesity and the metabolic syndrome. Evidence from the Whitehall II study.

Authors:  E J Brunner; M G Marmot; K Nanchahal; M J Shipley; S A Stansfeld; M Juneja; K G Alberti
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  52 in total

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2.  Context and sequelae of food insecurity in children's development.

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Review 3.  Associations between childhood socioeconomic position and adulthood obesity.

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4.  Childhood misfortune as a threat to successful aging: avoiding disease.

Authors:  Markus H Schafer; Kenneth F Ferraro
Journal:  Gerontologist       Date:  2011-07-11

5.  Life-Course Socioeconomic Status and Metabolic Syndrome Among Midlife Women.

Authors:  Jennifer Karas Montez; Joyce T Bromberger; Siobán D Harlow; Howard M Kravitz; Karen A Matthews
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2016-02-28       Impact factor: 4.077

Review 6.  Influence of race, ethnicity and socioeconomic status on kidney disease.

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7.  Social Media Based STEM Enrichment Curriculum Positively Impacts Rural Adolescent Health Measures.

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8.  Neighborhood disadvantage across the transition from adolescence to adulthood and risk of metabolic syndrome.

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9.  Detailed assessments of childhood adversity enhance prediction of central obesity independent of gender, race, adult psychosocial risk and health behaviors.

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10.  Association between socioeconomic status and metabolic syndrome in women: testing the reserve capacity model.

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