ALTERNATIVE MODELS OF THE STRESS BUFFERING HYPOTHESIS
ALTERNATIVE MODELS OF THE STRESS BUFFERING HYPOTHESIS
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DOI：
10.1007/bf00922639
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发表时间：
1989-10-01
影响因子：
3.1
通讯作者：
BLAZER, DG
中科院分区：
文献类型：
--
作者：
LANDERMAN, R;GEORGE, LK;BLAZER, DG
生活事件和社会支持对DSM-III诊断重性抑郁发作和抑郁症状数量的交互作用进行了研究。数据来自3，732名社区居住成年人的分层随机样本。本文重点讨论了线性概率模型和逻辑回归模型在定义、检测和解释相互作用效应方面的差异。结果表明，生活事件与社会支持的交互作用具有模型依赖性。使用线性概率模型，显著事件的支持相互作用，观察抑郁症状和抑郁症。使用逻辑回归，估计优势比方面的相互作用，没有观察到重大事件的支持相互作用。讨论解决了解释性的影响建模的相互作用的概率差异与比值比。
The interactive effects of life events and social support on a DSM-III diagnosis of major depressive episode and on number of depressive symptoms were examined. Data are from a stratified random sample of 3,732 community-dwelling adults. The paper focuses on differences between linear probability models and logistic regression models with regard to the definition, detection, and interpretation of interaction effects. Results indicate that conclusions about the interaction of life events and social support are model dependent. Using a linear probability model, significant event by support interactions were observed for both depressive symptoms and major depression. Using logistic regression, which estimates interactions in terms of odds ratios, no significant event by support interactions were observed. Discussion addresses the interpretive implications of modeling interaction in terms of probability differences versus odds ratios.