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压力轨迹能否预测老年男性的死亡率?来自退伍军人事务部规范老化研究的纵向研究结果。

Do Stress Trajectories Predict Mortality in Older Men? Longitudinal Findings from the VA Normative Aging Study.

作者信息

Aldwin Carolyn M, Molitor Nuoo-Ting, Avron Spiro, Levenson Michael R, Molitor John, Igarashi Heidi

机构信息

Human Development & Family Sciences, School of Social & Behavioral Health Sciences, College of Public Health & Human Sciences, Oregon State University, Milam Hall, Corvallis, OR 97331, USA.

出版信息

J Aging Res. 2011;2011:896109. doi: 10.4061/2011/896109. Epub 2011 Sep 27.

DOI:10.4061/2011/896109
PMID:21961066
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3180855/
Abstract

We examined long-term patterns of stressful life events (SLE) and their impact on mortality contrasting two theoretical models: allostatic load (linear relationship) and hormesis (inverted U relationship) in 1443 NAS men (aged 41-87 in 1985; M = 60.30, SD = 7.3) with at least two reports of SLEs over 18 years (total observations = 7,634). Using a zero-inflated Poisson growth mixture model, we identified four patterns of SLE trajectories, three showing linear decreases over time with low, medium, and high intercepts, respectively, and one an inverted U, peaking at age 70. Repeating the analysis omitting two health-related SLEs yielded only the first three linear patterns. Compared to the low-stress group, both the moderate and the high-stress groups showed excess mortality, controlling for demographics and health behavior habits, HRs = 1.42 and 1.37, ps <.01 and <.05. The relationship between stress trajectories and mortality was complex and not easily explained by either theoretical model.

摘要

我们研究了应激性生活事件(SLE)的长期模式及其对死亡率的影响,对比了两种理论模型:1443名海军航空站男性(1985年年龄在41 - 87岁之间;M = 60.30,SD = 7.3)的应激负荷(线性关系)和兴奋效应(倒U形关系),这些男性在18年中至少有两次SLE报告(总观察次数 = 7634)。使用零膨胀泊松增长混合模型,我们确定了SLE轨迹的四种模式,三种分别显示随着时间线性下降,截距低、中、高,一种是倒U形,在70岁时达到峰值。在分析中排除两个与健康相关的SLE后重复分析,仅得到前三种线性模式。与低压力组相比,中度和高度压力组在控制人口统计学和健康行为习惯后均显示出超额死亡率,风险比分别为1.42和1.37,p值 <.01和<.05。应激轨迹与死亡率之间的关系很复杂,两种理论模型都难以轻易解释。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9c5/3180855/5347754c897c/JAR2011-896109.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9c5/3180855/c239fc40dcb2/JAR2011-896109.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9c5/3180855/59b8bec6dfbb/JAR2011-896109.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9c5/3180855/5347754c897c/JAR2011-896109.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9c5/3180855/c239fc40dcb2/JAR2011-896109.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9c5/3180855/59b8bec6dfbb/JAR2011-896109.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9c5/3180855/5347754c897c/JAR2011-896109.003.jpg

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