社会整合与睡眠障碍:基因-环境相互作用研究

Collabra Pub Date : 2016-03-21 DOI:10.1525/COLLABRA.29
D. Sbarra
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引用次数: 1

摘要

目的:低水平的社会融合或孤独感与一系列不良健康结果的风险增加有关。睡眠障碍在孤独的进化理论中起着核心作用,它为低水平的社会融合如何对健康产生负面影响提供了一个机制解释。然而,在考虑到两个变量共有的基因后,还没有研究检验社会整合和睡眠障碍之间的联系是否与因果效应一致。方法:使用来自具有全国代表性的美国中年调查(MIDUS)的双胞胎数据(N = 905对双胞胎),我评估了一系列双变量双胞胎模型,探索低社会整合和睡眠障碍之间的表型关联是否可以用共同遗传来解释。此外,本研究指定了一系列定量模型来研究基因与环境(gxe)的相互作用,以确定遗传和环境对睡眠障碍的影响是否作为社会整合的函数而不同。结果:社会整合和睡眠障碍之间的表型关联完全由两个变量之间共同的基因解释,这表明双胞胎内社会整合的差异不会对睡眠障碍产生因果影响。然而,社会整合调节了非共享环境对睡眠障碍的影响,在最低水平的社会整合中观察到最大的环境影响。结论:本研究的结果表明,孤独进化模型的一个基本特征可能需要改进或阐述。在社会支持的压力缓冲模型中,当社会资源较低时,环境对睡眠障碍的影响最大。
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Social Integration and Sleep Disturbance: A Gene-Environment Interaction Study
Objective: Low levels of perceived social integration, or loneliness, are associated with increased risk for a range of poor health outcomes. Sleep disturbance plays a central role in the evolutionary theory of loneliness, which provides a mechanistic account of how low levels of social integration may negatively impact health. No studies, however, have examined whether the association between social integration and sleep disturbance is consistent with a causal effect after accounting for genes that are common to both variables.  Method: Using twin data ( N = 905 twin pairs) from the nationally-representative Midlife in the United States (MIDUS) survey, I evaluated a series of bivariate twin models exploring whether the phenotypic association between low social integration and sleep disturbance can be explained by shared genetics. In addition, the current study specified a series of quantitative models for studying gene x environment (G X E) interactions to determine whether the genetic and environmental influences on sleep disturbance differ as a function of social integration. Results: The phenotypic association between social integration and sleep disturbance was fully accounted for by genes that are common between the two variables, suggesting that within-twin pair differences in social integration do not exert a causal influence on sleep disturbance. Social integration, however, moderated the non-shared environmental influence on sleep disturbances, with the greatest environmental influences observed at the lowest levels of social integration. Conclusions: The results of this study suggest that an essential feature of the evolutionary model of loneliness may need refinement or elaboration. The moderation findings are discussed in terms of the fit with a stress-buffering model of social support in which environmental influences on sleep disturbance are strongest when social resources are low.
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