Division of Health Promotion and Behavioral Sciences, The University of Texas-Houston, School of Public Health, Houston, TX 77030, USA.
Health Psychol. 2010 Jan;29(1):9-19. doi: 10.1037/a0016767.
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.
Data from the Alameda County Study over 28 years (1965-1993, N = 6856) were analyzed with multivariate Cox Proportional Hazard Models.
Longevity, evaluated by risks of all-cause, natural-cause, and unnatural-cause mortality.
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.
SWB and its various positive components, but not NF, significantly predict longevity in the general population.
本研究纵向考察了主观幸福感(SWB)及其组成部分,即积极情绪(PF,包括整体生活满意度[GLS])、领域生活满意度[DLS]和积极情绪[PA])以及消极情绪(NF)作为一般人群长寿的预测指标。
使用多变量 Cox 比例风险模型分析了 28 年(1965-1993 年)的阿拉米达县研究的数据(N=6856)。
通过全因死亡率、自然原因死亡率和非自然原因死亡率来评估寿命。
在控制了人口统计学和基线健康协变量后,SWB、PF、GLS 和 DLS 显著预测了全因和自然原因死亡率降低的风险(每个预测指标增加的相对风险[RR]范围为.904-.989,p 值范围为.000-.05)。SWB、PF 和 GLS 也显著预测了非自然原因死亡率降低的风险(RR 范围为.862-.961,p 值范围为.014-.05)。这些关联似乎部分或完全由社交网络介导。这些关联在年龄较小(<55 岁)和/或年龄较大(>或=55 岁)的亚组中分别存在,并且在健康亚组中尤为明显。然而,NF 与死亡率结果没有关联。
SWB 及其各种积极成分,但不是 NF,显著预测了一般人群的长寿。