Department of Psychological and Quantitative Foundations, University of Iowa, Iowa City, IA.
Department of Human Ecology, University of California, Davis, Davis, CA.
Fam Process. 2019 Mar;58(1):79-99. doi: 10.1111/famp.12357. Epub 2018 Mar 25.
The objective of this study was to use the Biobehavioral Family Model (BBFM) to delineate which psychophysiological variables link romantic and family relationship satisfaction variables to health outcomes. Data from individuals who reported being partnered from the second wave of the National Survey of Midlife Development in the United States (MIDUS II), Project 4 (n = 812) were used to test a structural equation model which explored which psychophysiological variables potentially mediated associations between positive and negative family emotional climate variables and disease activity. This model found that current and past family variables had larger associations with the psychophysiological variables than romantic partner variables; depressive symptoms, anxiety, and inflammation partially mediated associations between family relationships and health; and, contrary to the hypotheses, romantic partner and family support were linked to worse health outcomes. However, the findings should be viewed with regard to the cross-sectional design of the study. Overall, the findings support the use of the BBFM as a model that can guide clinical interventions.
本研究旨在运用生物行为家庭模型(BBFM)来阐明哪些心理生理学变量将浪漫关系和家庭关系满意度变量与健康结果联系起来。该研究的数据来自于美国全国中年发展第二次调查(MIDUS II)项目 4 中报告自己处于伴侣关系的个体(n=812),用于测试一个结构方程模型,该模型探索了哪些心理生理学变量可能在积极和消极家庭情感氛围变量与疾病活动之间的关联中起到中介作用。该模型发现,当前和过去的家庭变量与心理生理学变量的关联比浪漫伴侣变量更大;抑郁症状、焦虑和炎症部分中介了家庭关系与健康之间的关联;与假设相反的是,浪漫伴侣和家庭支持与更糟糕的健康结果相关。然而,应该考虑到研究的横截面设计来看待这些发现。总的来说,这些发现支持将 BBFM 用作可以指导临床干预的模型。