Literature DB >> 18809625

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 Ramsay1, Peter H Whincup, Richard Morris, Lucy Lennon, S G Wannamethee.   

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.

Entities:  

Mesh:

Year:  2008        PMID: 18809625      PMCID: PMC2584199          DOI: 10.2337/dc08-1158

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


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 (3–6). 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)

nMetabolic syndromeAdjustment for ageAdjustment for age and social class*Adjustment for age and adult behavioral factors
Adult social class
    I30570 (23)1.001.001.00
    II857209 (24)1.08 (0.80–1.48)1.06 (0.78–1.45)1.02 (0.74–1.40)
    III-nonmanual31184 (27)1.24 (0.86–1.79)1.19 (0.82–1.73)1.11 (0.76–1.61)
    III-manual1,141348 (31)1.47 (1.10–1.98)1.38 (1.02–1.88)1.27 (0.94–1.73)
    IV26677 (29)1.37 (0.94–1.99)1.26 (0.86–1.86)1.15 (0.78–1.70)
    V8829 (33)1.64 (0.98–2.76)1.50 (0.88–2.54)1.22 (0.71–2.08)
    P for trend0.00050.0080.06
    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
    I13628 (21)1.001.001.00
    II460118 (26)1.33 (0.84–2.13)1.26 (0.79–2.01)1.23 (0.77–1.97)
    III-nonmanual35291 (26)1.35 (0.83–2.18)1.27 (0.78–2.05)1.27 (0.78–2.07)
    III-manual1,184321 (27)1.44 (0.93–2.22)1.27 (0.82–1.99)1.28 (0.82–1.99)
    IV473150 (32)1.80 (1.14–2.84)1.55 (0.96–2.48)1.57 (0.99–2.51)
    V363109 (30)1.66 (1.03–2.65)1.40 (0.86–2.28)1.45 (0.90–2.34)
    P for trend0.0060.100.05
    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 class635156 (25)1.001.00
    Childhood nonmanual and adult manual social class23058 (25)1.04 (0.73–1.47)0.94 (0.66–1.35)
    Childhood manual and adult nonmanual social class817205 (25)1.03 (0.81–1.31)0.99 (0.78–1.28)
    Childhood manual and adult manual social class1,240391 (32)1.41 (1.14–1.76)1.26 (1.00–1.58)
    P for trend0.0010.03

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.
  14 in total

1.  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).

Authors: 
Journal:  JAMA       Date:  2001-05-16       Impact factor: 56.272

2.  Modifiable lifestyle factors and the metabolic syndrome in older men: Effects of lifestyle changes.

Authors:  S Goya Wannamethee; A Gerald Shaper; Peter H Whincup
Journal:  J Am Geriatr Soc       Date:  2006-12       Impact factor: 5.562

3.  Role of risk factors for major coronary heart disease events with increasing length of follow up.

Authors:  S G Wannamethee; A G Shaper; P H Whincup; M Walker
Journal:  Heart       Date:  1999-04       Impact factor: 5.994

4.  Socioeconomic position in childhood and adulthood and insulin resistance: cross sectional survey using data from British women's heart and health study.

Authors:  Debbie A Lawlor; Shah Ebrahim; George Davey Smith
Journal:  BMJ       Date:  2002-10-12

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

Authors:  Jean Dallongeville; Dominique Cottel; Jean Ferrières; Dominique Arveiler; Annie Bingham; Jean Bernard Ruidavets; Bernadette Haas; Pierre Ducimetière; Philippe Amouyel
Journal:  Diabetes Care       Date:  2005-02       Impact factor: 19.112

6.  Origins of health inequalities in a national population sample.

Authors:  C Power; S Matthews
Journal:  Lancet       Date:  1997-11-29       Impact factor: 79.321

7.  Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man.

Authors:  D R Matthews; J P Hosker; A S Rudenski; B A Naylor; D F Treacher; R C Turner
Journal:  Diabetologia       Date:  1985-07       Impact factor: 10.122

Review 8.  Socioeconomic factors and cardiovascular disease: a review of the literature.

Authors:  G A Kaplan; J E Keil
Journal:  Circulation       Date:  1993-10       Impact factor: 29.690

9.  The metabolic syndrome and coronary heart disease in older women: findings from the British Women's Heart and Health Study.

Authors:  D A Lawlor; S Ebrahim; G Davey Smith
Journal:  Diabet Med       Date:  2004-08       Impact factor: 4.359

10.  A lifecourse study of risk for hyperinsulinaemia, dyslipidaemia and obesity (the central metabolic syndrome) at age 49-51 years.

Authors:  L Parker; D W Lamont; N Unwin; M S Pearce; S M A Bennett; H O Dickinson; M White; J C Mathers; K G M M Alberti; A W Craft
Journal:  Diabet Med       Date:  2003-05       Impact factor: 4.359

View more
  14 in total

Review 1.  A review of family and environmental correlates of health behaviors in high-risk youth.

Authors:  Hannah G Lawman; Dawn K Wilson
Journal:  Obesity (Silver Spring)       Date:  2012-01-26       Impact factor: 5.002

2.  Race- and sex-specific associations of parental education with insulin resistance in middle-aged participants: the CARDIA study.

Authors:  Teresa Tamayo; David R Jacobs; Klaus Strassburger; Guido Giani; Teresa E Seeman; Karen Matthews; Jeffrey M Roseman; Wolfgang Rathmann
Journal:  Eur J Epidemiol       Date:  2012-05-08       Impact factor: 8.082

3.  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

4.  Childhood socioeconomic disadvantage and prediabetes and diabetes in later life: a study of biopsychosocial pathways.

Authors:  Vera Tsenkova; Tetyana Pudrovska; Arun Karlamangla
Journal:  Psychosom Med       Date:  2014-10       Impact factor: 4.312

Review 5.  Psychological perspectives on pathways linking socioeconomic status and physical health.

Authors:  Karen A Matthews; Linda C Gallo
Journal:  Annu Rev Psychol       Date:  2011       Impact factor: 24.137

6.  Ischemic heart disease and its related factors in Mongolia: a nationwide survey.

Authors:  Tsogzolbaatar Enkh-Oyun; Kazuhiko Kotani; Dambadarjaa Davaalkham; Yasuko Aoyama; Satoshi Tsuboi; Taeko Oguma; Yosikazu Nakamura
Journal:  J Community Health       Date:  2013-10

7.  The metabolic syndrome: prevalence, associated factors, and impact on survival among older persons in rural Bangladesh.

Authors:  Masuma Akter Khanam; Chengxuan Qiu; Wietze Lindeboom; Peter Kim Streatfield; Zarina Nahar Kabir; Åke Wahlin
Journal:  PLoS One       Date:  2011-06-15       Impact factor: 3.240

8.  Do the interactions between glucocorticoids and sex hormones regulate the development of the metabolic syndrome?

Authors:  Marià Alemany
Journal:  Front Endocrinol (Lausanne)       Date:  2012-02-27       Impact factor: 5.555

9.  A Co-Twin control study of fine particulate matter and the prevalence of metabolic syndrome risk factors.

Authors:  Yuhan Zhang; Liuhua Shi; Howard Chang; Joel Schwartz; Qian Di; Jack Goldberg; Viola Vaccarino
Journal:  Environ Res       Date:  2021-06-27       Impact factor: 8.431

10.  Associations of intergenerational education with metabolic health in U.S. Latinos.

Authors:  Adina Zeki Al Hazzouri; Mary N Haan; Whitney R Robinson; Penny Gordon-Larsen; Lorena Garcia; Erin Clayton; Allison E Aiello
Journal:  Obesity (Silver Spring)       Date:  2015-03-25       Impact factor: 5.002

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.