Jingping Xu1, Robert E Roberts. 1. Division of Health Promotion and Behavioral Sciences, The University of Texas-Houston, School of Public Health, Houston, TX 77030, USA. jingping.xu@uth.tmc.edu
Abstract
OBJECTIVE: This study longitudinally examined Subjective Well-Being (SWB) and its components, namely, Positive Feelings (PF, including global life satisfaction [GLS]), domain life satisfaction [DLS], and positive affect [PA]) as well as Negative Feelings (NF) as predictors of longevity in a general population. DESIGN: Data from the Alameda County Study over 28 years (1965-1993, N = 6856) were analyzed with multivariate Cox Proportional Hazard Models. MAIN OUTCOME MEASURES: Longevity, evaluated by risks of all-cause, natural-cause, and unnatural-cause mortality. RESULTS: After demographic and baseline health covariates were controlled, SWB, PF, GLS, and DLS significantly predicted lowered risks of all-cause and natural-cause mortality (Relative Risk per unit predictor increase [RR] ranged .904-.989, p values ranged .000-.05). SWB, PF, and GLS also significantly predicted lowered risk of unnatural-cause mortality (RR ranged .862-.961, p values ranged .014-.05). These associations seemed partially or completely mediated by social networks. The associations were also found separately in younger (<55 in age) and/or older (>or=55) subsamples, and were especially salient in the healthy subsample. However, NF showed no associations with the mortality outcomes. CONCLUSION: SWB and its various positive components, but not NF, significantly predict longevity in the general population.
OBJECTIVE: This study longitudinally examined Subjective Well-Being (SWB) and its components, namely, Positive Feelings (PF, including global life satisfaction [GLS]), domain life satisfaction [DLS], and positive affect [PA]) as well as Negative Feelings (NF) as predictors of longevity in a general population. DESIGN: Data from the Alameda County Study over 28 years (1965-1993, N = 6856) were analyzed with multivariate Cox Proportional Hazard Models. MAIN OUTCOME MEASURES: Longevity, evaluated by risks of all-cause, natural-cause, and unnatural-cause mortality. RESULTS: After demographic and baseline health covariates were controlled, SWB, PF, GLS, and DLS significantly predicted lowered risks of all-cause and natural-cause mortality (Relative Risk per unit predictor increase [RR] ranged .904-.989, p values ranged .000-.05). SWB, PF, and GLS also significantly predicted lowered risk of unnatural-cause mortality (RR ranged .862-.961, p values ranged .014-.05). These associations seemed partially or completely mediated by social networks. The associations were also found separately in younger (<55 in age) and/or older (>or=55) subsamples, and were especially salient in the healthy subsample. However, NF showed no associations with the mortality outcomes. CONCLUSION: SWB and its various positive components, but not NF, significantly predict longevity in the general population.
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