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. 2008 Dec;31(12):2380–2382. doi: 10.2337/dc08-1158

Is Socioeconomic Position Related to the Prevalence of Metabolic Syndrome?

Influence of social class across the life course in a population-based study of older men

Sheena E Ramsay 1, Peter H Whincup 2, Richard Morris 1, Lucy Lennon 1, SG Wannamethee 1
PMCID: PMC2584199  EMSID: UKMS3692  PMID: 18809625

Abstract

OBJECTIVE—To examine whether adult social class and childhood social class are related to metabolic syndrome in later life, independent of adult behavioral factors.

RESEARCH DESIGN AND METHODS—This was a population-based cross-sectional study comprising 2,968 men aged 60–79 years.

RESULTS—Adult social class and childhood social class were both inversely related to metabolic syndrome. Mutual adjustment attenuated the relation of metabolic syndrome with childhood social class; that with adult social class was little affected. However, the relation with adult social class was markedly attenuated by adjustment for smoking status, physical activity, and alcohol consumption. High waist circumference was independently associated with adult social class.

CONCLUSIONS—The association between adult social class and metabolic syndrome was largely explained by behavioral factors. In addition, central adiposity, a component of metabolic syndrome, was associated with adult social class. Focusing on healthier behaviors and obesity, rather than specific efforts to reduce social inequalities surrounding metabolic syndrome, is likely to be particularly important in reducing social inequalities that affect people with coronary disease.


There has been increasing interest in the relationship between socioeconomic position and metabolic syndrome, which is postulated to form a direct pathway linking adverse social conditions and coronary heart disease (CHD), possibly working through neuroendocrine mechanisms causing obesity, dyslipidemia, hypertension, and insulin resistance (1,2). However, the association between socioeconomic position and metabolic syndrome has not been completely consistent between studies (1,3,4), and the relationship is possibly confounded by behavioral factors, which are strongly related to metabolic syndrome, and to socioeconomic position (36). Additionally, few studies have explored the independent relationships of adult and early-life social circumstances with metabolic syndrome (4,7,8). We have, therefore, examined whether adult and childhood social class may be associated with metabolic syndrome in older men (aged 60–79 years) independently of adult behavioral factors.

RESEARCH DESIGN AND METHODS

The British Regional Heart Study comprises a population-based cohort of men recruited in 1978–1780 at age 40–59 years from 24 British towns (5). In 1998–2000, all surviving subjects, now aged 60–79 years, were invited to attend a physical examination and provide fasting blood samples used to measure metabolic parameters (5). Of these men, 4,252 (77%) attended the examination and 4,094 (74%) provided at least one measurement of biological factors.

Adult socioeconomic position was measured as social class based on the longest-held occupation recorded at study entry (aged 40–59 years), using the Registrar General's classification: I (professional, e.g., physicians, engineers), II (managerial, e.g., teachers, sales managers), III-nonmanual (semi-skilled nonmanual, e.g., clerks, shop assistants), III-manual (semi-skilled manual, e.g., bricklayers), IV (partly skilled, e.g., postmen), and V (unskilled, e.g., porters, laborers). Childhood social class, based on the father's longest-held occupation collected through questionnaires in 1992, was organized with the Registrar General's classification of 1931 (which approximates the study participants’ mid–year of birth) into six social classes from I to V (9).

Questionnaires in 1998–2000 collected information on cigarette smoking, alcohol intake, and physical activity (5). Metabolic syndrome, defined using National Cholesterol Education Programme/Adult Treatment Panel III criteria, required participants to meet at least three of the following requirements: 1) fasting plasma glucose ≥110 mg/dl, 2) serum triglycerides ≥150 mg/dl, 3) serum HDL cholesterol <40 mg/dl, 4) blood pressure ≥130/85 mmHg or antihypertensive treatment, and 5) waist circumference >102 cm (10). Insulin resistance was estimated, using homeostasis model assessment, as the product of fasting glucose and insulin divided by the constant 22.5 (11).

Men with prevalent diabetes (doctor-diagnosed diabetes or fasting glucose ≥7 mmol/l; n = 385) and men whose own (n = 112) or whose father's (n = 81) occupation was in the armed forces were excluded from the analysis. Multiple logistic regression was carried out using SAS version 9.1.

RESULTS

Among 2,968 men aged 60–79 years without prevalent diabetes, 817 men (28%) had metabolic syndrome. Both adult and childhood social class showed an inverse relationship with metabolic syndrome, as lower social classes had greater odds of metabolic syndrome (Table 1). When mutually adjusted, the association of childhood social class with metabolic syndrome was diminished, whereas the association of adult social class was little altered. However, when adjusted for adult behavioral factors, the association of adult social class was markedly attenuated. Manual social class both in childhood and in adulthood was associated with the highest odds of metabolic syndrome compared with nonmanual social class both in childhood and in adulthood; this was appreciably reduced when adjusted for adult behavioral factors (Table 1). There was no evidence that the relation between childhood social class and metabolic syndrome was different in adult nonmanual or manual social class (P = 0.17 for interaction).

Table 1.

Prevalence of and ORs for metabolic syndrome according to adult and childhood social class (3,134 nondiabetic men aged 60–79 years)

n Metabolic syndrome Adjustment for age Adjustment for age and social class* Adjustment for age and adult behavioral factors
Adult social class
    I 305 70 (23) 1.00 1.00 1.00
    II 857 209 (24) 1.08 (0.80–1.48) 1.06 (0.78–1.45) 1.02 (0.74–1.40)
    III-nonmanual 311 84 (27) 1.24 (0.86–1.79) 1.19 (0.82–1.73) 1.11 (0.76–1.61)
    III-manual 1,141 348 (31) 1.47 (1.10–1.98) 1.38 (1.02–1.88) 1.27 (0.94–1.73)
    IV 266 77 (29) 1.37 (0.94–1.99) 1.26 (0.86–1.86) 1.15 (0.78–1.70)
    V 88 29 (33) 1.64 (0.98–2.76) 1.50 (0.88–2.54) 1.22 (0.71–2.08)
    P for trend 0.0005 0.008 0.06
    Manual (III-manual, IV, V) vs. nonmanual (I, II, III-nonmanual) 1.33 (1.13–1.57) 1.27 (1.07–1.50) 1.21 (1.02–1.43)
Childhood social class
    I 136 28 (21) 1.00 1.00 1.00
    II 460 118 (26) 1.33 (0.84–2.13) 1.26 (0.79–2.01) 1.23 (0.77–1.97)
    III-nonmanual 352 91 (26) 1.35 (0.83–2.18) 1.27 (0.78–2.05) 1.27 (0.78–2.07)
    III-manual 1,184 321 (27) 1.44 (0.93–2.22) 1.27 (0.82–1.99) 1.28 (0.82–1.99)
    IV 473 150 (32) 1.80 (1.14–2.84) 1.55 (0.96–2.48) 1.57 (0.99–2.51)
    V 363 109 (30) 1.66 (1.03–2.65) 1.40 (0.86–2.28) 1.45 (0.90–2.34)
    P for trend 0.006 0.10 0.05
    Manual (III-manual, IV, V) vs. nonmanual (I, II, III-nonmanual) 1.24 (1.04–1.49) 1.13 (0.93–1.37) 1.17 (0.97–1.41)
Adult and childhood social class
    Childhood and adult non-manual social class 635 156 (25) 1.00 1.00
    Childhood nonmanual and adult manual social class 230 58 (25) 1.04 (0.73–1.47) 0.94 (0.66–1.35)
    Childhood manual and adult nonmanual social class 817 205 (25) 1.03 (0.81–1.31) 0.99 (0.78–1.28)
    Childhood manual and adult manual social class 1,240 391 (32) 1.41 (1.14–1.76) 1.26 (1.00–1.58)
    P for trend 0.001 0.03

Data are n (%) or OR (95% CI) unless otherwise indicated.

*

Adult and childhood social class adjusted for each other.

Adult behavioral factors included smoking, physical activity, and alcohol consumption.

Of the individual components of the metabolic syndrome, only high waist circumference was associated with adult social class independently of childhood social class and adult behavioral factors (adult social class V vs. I: OR 1.71 [95% CI 1.02–2.88]; P for trend = 0.0006). Childhood social class was not independently associated with the individual components. The association of adult social class with homeostasis model assessment (P for trend = 0.02) was attenuated when adjusted for adult behavioral factors (P for trend = 0.17). There was no evidence of a relationship between childhood social class and insulin resistance.

CONCLUSIONS

Although metabolic syndrome has been proposed as a link between low socioeconomic position and CHD (2), we did not find an independent association between social class (either in adulthood or childhood) and metabolic syndrome in older British men. Adult behavioral factors (physical activity, smoking, and alcohol consumption) were responsible for the relationship between adult social class and metabolic syndrome. There was some increased risk of metabolic syndrome in men of manual social class both in childhood and in adulthood that was to a large extent explained by adult behavioral factors. There was no evidence of an independent association of adult/childhood social class with insulin resistance. Adult social class was strongly related to high waist circumference, a component of metabolic syndrome. It is therefore likely that the role of metabolic syndrome in social inequalities among people with CHD is largely due to behavioral factors and central adiposity/obesity, which are important coronary risk factors in their own right (12). Focusing efforts on understanding and reducing levels of behavioral factors and obesity could be particularly important in reducing social inequalities in CHD.

Although these findings are consistent with some previous studies, other studies have reported an independent association between social class (in both adult and childhood) and metabolic syndrome, as well as a stronger relationship of metabolic syndrome with adult risk factors than with early life factors (1,3,4,7). Since childhood social class is related to adult socioeconomic position and behavioral factors (13), the effect of childhood social class could well have been mediated through adult social class and behavioral factors. However, it was not possible to fully disentangle this issue in our study.

This paper indicates the lack of an independent association between socioeconomic position and metabolic syndrome in a socioeconomically representative sample of British men. The results, however, are not directly generalizable to women, although other studies suggest a stronger association between social class and metabolic syndrome in women than in men (14,15). As with any study group comprising older men, and because prevalent diabetes cases were excluded, the potential for healthy survivor bias exists. However, the high follow-up rate of this cohort population has ensured that such bias is no more marked than would be the case in any other population of surviving older subjects.

Acknowledgments

S.R. is funded by a U.K. Medical Research Council Special Training Fellowship in Health Services and Health of the Public Research. The British Regional Heart Study is a British Heart Foundation Research Group. The views expressed in this publication are those of the authors and not necessarily those of the funding bodies.

Published ahead of print at http://care.diabetesjournals.org on 22 September 2008.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked “advertisement” in accordance with 18 U.S.C Section 1734 solely to indicate this fact.

References

  • 1.Brunner EJ, Marmot MG, Nanchahal K, Shipley MJ, Stansfeld SA, Juneja M, Alberti KG: Social inequality in coronary risk: central obesity and the metabolic syndrome. Diabetologia 40:1341–1349, 1997 [DOI] [PubMed] [Google Scholar]
  • 2.Silventoinen K, Pankow J, Jousilahti P, Hu G, Tuomilehto J: Educational inequalities in the metabolic syndrome and coronary heart disease among middle-aged men and women. Int J Epidemiol 34:327–334, 2005 [DOI] [PubMed] [Google Scholar]
  • 3.Paek KW, Chun KH, Jin KN, Lee KS: Do health behaviors moderate the effect of socioeconomic status on metabolic syndrome? Ann Epidemiol 16:756–762, 2006 [DOI] [PubMed] [Google Scholar]
  • 4.Parker L, Lamont DW, Unwin N, Pearce MS, Bennett SM, Dickinson HO, White M, Mathers JC, Alberti KG, Craft AW: A lifecourse study of risk for hyperinsulinaemia, dyslipidaemia and obesity (the central metabolic syndrome) at age 49–51 years. Diabet Med 20:406–415, 2003 [DOI] [PubMed] [Google Scholar]
  • 5.Wannamethee SG, Shaper AG, Whincup PH: Modifiable lifestyle factors and the metabolic syndrome in older men: effects of lifestyle changes. J Am Geriatr Soc 54:1909–1914, 2006 [DOI] [PubMed] [Google Scholar]
  • 6.Kaplan GA, Keil JE: Socioeconomic factors and cardiovascular disease: a review of the literature. Circulation 88:1973–1998, 1993 [DOI] [PubMed] [Google Scholar]
  • 7.Langenberg C, Kuh D, Wadsworth ME, Brunner E, Hardy R: Social circumstances and education: life course origins of social inequalities in metabolic risk in a prospective national birth cohort. Am J Public Health 96:2216–2221, 2006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Lawlor DA, Ebrahim S, Davey Smith G: Socioeconomic position in childhood and adulthood and insulin resistance: cross sectional survey using data from British women's heart and health study. BMJ 325:805, 2002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Classification of Occupations. London, His Majesty's Stationery Office, 1931
  • 10.Executive Summary of the Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). JAMA 285:2486–2497, 2001 [DOI] [PubMed] [Google Scholar]
  • 11.Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC: Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 28:412–419, 1985 [DOI] [PubMed] [Google Scholar]
  • 12.Wannamethee SG, Shaper AG, Whincup PH, Walker M: Role of risk factors for major coronary heart disease events with increasing length of follow up. Heart 81:374–379, 1999 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Power C, Matthews S: Origins of health inequalities in a national population sample. Lancet 350:1584–1589, 1997 [DOI] [PubMed] [Google Scholar]
  • 14.Lawlor DA, Ebrahim S, Davey Smith G: The metabolic syndrome and coronary heart disease in older women: findings from the British Women's Heart and Health Study. Diabet Med 21:906–913, 2004 [DOI] [PubMed] [Google Scholar]
  • 15.Dallongeville J, Cottel D, Ferrières J, Arveiler D, Bingham A, Ruidavets JB, Haas B, Ducimetière P, Amouyel P: Household income is associated with the risk of metabolic syndrome in a sex-specific manner. Diabetes Care 28:409–415, 2005 [DOI] [PubMed] [Google Scholar]

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