Search

Objective: The health implications of positive affect (PA) are still a matter of debate. The present study examined the longitudinal relationships between subjective wellbeing (SWB) components (i.e., Life satisfaction, PA and negative affect (NA)) and all-cause mortality in older adults., Methods: Discrete-time survival analysis within the structural equation modeling framework was applied to data from the PAQUID Cohort (n=3777, baseline age 62-101years) including ten time periods spanning 22years. Time-invariant (age, gender, baseline life satisfaction, diabetes mellitus and hypercholesterolemia status) and lagged time-varying (PA, NA, dementia, functional status and self-rated health) predictors were included sequentially in the analyses., Results: When included together in the model, only PA among the SWB components showed a significant association with longevity, which persisted (OR=.962, 95% CI=.938, .986) even after adjustment for the interaction between PA and NA, and after additional adjustment for prior medical conditions, functional status and self-rated health., Conclusions: In congruence with positive psychology, PA proved to be an independent protective factor regardless of variations in NA, which did not seem to be a mortality risk factor., (Copyright © 2016 Elsevier Inc. All rights reserved.)

Objective: Reciprocal relationships between positive affect (PA) and health are now subject of a heuristic debate in psychology and behavioral medicine. Two radically opposed approaches address the link between subjective well being (SWB) and physical health: top-down (i.e., psychosomatic hypothesis) and bottom-up (i.e., disability/ability hypothesis) approaches. The aim of the present study was to test these two approaches by investigating thirteen-year longitudinal relationships between PA, as an affective dimension of SWB, and functional health in older people., Methods: The study included 3754 participants aged 62-101 years assessed 6 times over a thirteen-year period. PA was measured by the mean of the positive affect subscale of the CES-D scale. Functional health was assessed by four composite items: a single-item self-rating of hearing impairment, a single-item self-rating of vision impairment, the number of medically prescribed drugs, and a single-item self-rating of dyspnoea. We used cross-lagged modeling with latent variables, which is appropriate for testing specific theories. Mean arterial pressure, diabetes mellitus and hypercholesterolemia status, sequelae of stroke, gender, level of education, and age at baseline were use as control variables in the models., Results: Results indicated that good health significantly predicted subsequent levels of PA (average β = -0.58, p < 0.001), but PA did not predict subsequent levels of good health (β = 0.01, ns)., Conclusion: This finding, obtained from a sample of older people, is in keeping with the bottom-up approach, and supports the popular adage "As long as you've got your health". Limitations of this finding are reviewed and discussed. Models including longitudinal mediators, such as biomarkers and life style patterns, are needed to clarify the nature of the link between these constructs., (Copyright © 2015 Elsevier Ltd. All rights reserved.)

The authors examined longitudinal change in positive affect (PA), a component of subjective well-being. Positive affect was assessed with the PA subscale of the Center for Epidemiologic Studies-Depression Scale (Radloff, 1977) in a sample of individuals from the PAQUID cohort (n = 3,777; age 62-101 years, M = 75.46, SD = 6.91 at Wave 1) over a period of 22 years (10 waves of data). Latent growth curve modeling was used to assess change in PA. A quadratic latent growth curve was found to characterize the latent growth pattern of PA in our sample, indicating linear change before a decline phase. These results were discussed with reference to the well-being paradox., ((c) 2015 APA, all rights reserved).)