Negative aspects of close relationships as a predictor of increased body mass index and waist circumference: the Whitehall II study.
ABSTRACT We investigated whether exposure to negative aspects of close relationships was associated with subsequent increase in body mass index (BMI) and waist circumference.
Data came from a prospective cohort study (Whitehall II) of 9425 civil servants aged 35 to 55 years at baseline (phase 1: 1985-1988). We assessed negative aspects of close relationships with the Close Persons Questionnaire (range 0-12) at phases 1 and 2 (1989-1990). We measured BMI and waist circumference at phases 3 (1991-1994) and 5 (1997-1999). Covariates at phase 1 included gender, age, marital status, ethnicity, BMI, employment grade, smoking, physical activity, fruit and vegetable consumption, and common mental disorder.
After adjustment for sociodemographic characteristics and health behaviors, participants with higher exposure to negative aspects of close relationships had a higher likelihood of a 10% or greater increase in BMI and waist circumference (odds ratios per 1-unit increase 1.08 [95% confidence interval (CI) =1.02, 1.14; P = .007] and 1.09 [CI = 1.04, 1.14; P ≤ .001], respectively) as well as a transition from the overweight (25 ≤ BMI < 30) to the obese (BMI ≥ 0) category.
Adverse social relationships may contribute to weight gain.
Full-textDOI: · Available from: Archana Singh-Manoux, May 30, 2015
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ABSTRACT: This study tests the inclusion of social support as a distinct exogenous variable in the Biobehavioral Family Model (BBFM). The BBFM is a biopsychosocial approach to health that proposes that biobehavioral reactivity (anxiety and depression) mediates the relationship between family emotional climate and disease activity. Data for this study included married, English-speaking adult participants (n = 1321; 55% female; M age = 45.2 years) from the National Comorbidity Survey Replication, a nationally representative epidemiological study of the frequency of mental disorders in the U.S. Participants reported their demographics, marital functioning, social support from friends and relatives, anxiety and depression (biobehavioral reactivity), number of chronic health conditions, and number of prescription medications. Confirmatory factor analyses supported the items used in the measures of negative marital interactions, social support, and biobehavioral reactivity, as well as the use of negative marital interactions, friends’ social support, and relatives’ social support as distinct factors in the model. Structural equation modeling indicated a good fit of the data to the hypothesized model (χ2 = 846.04, p = .000, SRMR = .039, CFI = .924, TLI = .914, RMSEA = .043). Negative marital interactions predicted biobehavioral reactivity (β = .38, p<.001), as did relatives’ social support, inversely (β = -.16, p<.001). Biobehavioral reactivity predicted disease activity (β = .40, p<.001) and was demonstrated a significant mediator through tests of indirect effects. Findings are consistent with previous tests of the BBFM with adult samples, and suggest the important addition of family social support as a predicting factor in the model.Family Process 01/2014; DOI:10.1111/famp.12086 · 1.73 Impact Factor
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