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Objectives: Psychological well-being predicts favorable cardiovascular outcomes, but less evidence addresses biological mediators underlying these effects. Therefore, associations among well-being and metabolic syndrome (MetSyn) were examined in a national sample., Methods: Survey of Midlife in the US participants (MIDUS; n = 1205) provided survey assessments of hedonic (positive affect, life satisfaction) and eudaimonic well-being (e.g., personal growth and purpose in life) at two waves 9 to 10 years apart. MetSyn components were measured during an overnight clinic visit at Time 2 only. Outcomes included the number of MetSyn risk factors and a binary outcome reflective of MetSyn status., Results: The unadjusted prevalence of MetSyn was 36.6%. Life satisfaction (B [standard error {SE}] = -0.12 [0.04], p = .005), positive affect (B [SE] = -0.10 [0.04], p = .009), and personal growth (B [SE] = -0.10 [0.04], p = .012) predicted fewer MetSyn components and lower risk of meeting diagnostic criteria in fully adjusted models. Results were unchanged by adjustments for depressive symptoms, and were not moderated by age, sex, race, or socioeconomic status. Life satisfaction (B [SE] = -0.11 [0.05], p = .023) and a eudaimonic well-being composite (B [SE] = -0.11 [0.05], p = .045) also predicted fewer components and lower risk of meeting diagnostic criteria in longitudinal models., Conclusions: Psychosocial resources, including positive affect, life satisfaction, and personal growth, predicted reduced risk for MetSyn both cross sectionally and longitudinally. Further work should examine consequences of these linkages for cardiovascular outcomes in intervention contexts.

Objective: To test the hypothesis that socioeconomic status (SES) would be associated with sleep quality measured objectively, even after controlling for related covariates (health status, psychosocial characteristics). Epidemiological studies linking SES and sleep quality have traditionally relied on self-reported assessments of sleep., Methods: Ninety-four women, 61 to 90 years of age, participated in this study. SES was determined by pretax household income and years of education. Objective and subjective assessments of sleep quality were obtained using the NightCap sleep system and the Pittsburgh Sleep Quality Index (PSQI), respectively. Health status was determined by subjective health ratings and objective measures of recent and chronic illnesses. Depressive symptoms and neuroticism were quantified using the Center for Epidemiological Studies Depression Scale and the Neuroticism subscale of the NEO Personality Inventory, respectively., Results: Household income significantly predicted sleep latency and sleep efficiency even after adjusting for demographic factors, health status, and psychosocial characteristics. Income also predicted PSQI scores, although this association was significantly attenuated by inclusion of neuroticism in multivariate analyses. Education predicted both sleep latency and sleep efficiency, but the latter association was partially reduced after health status and psychosocial measures were included in analyses. Education predicted PSQI sleep efficiency component scores, but not global scores., Conclusions: These results suggest that SES is robustly linked to both subjective and objective sleep quality, and that health status and psychosocial characteristics partially explain these associations.