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美国老年人社会网络特征与抑郁症状之间的关系:区分网络结构和网络功能。

The relationship between social network characteristics and depressive symptoms among older adults in the United States: differentiating between network structure and network function.

机构信息

Department of Global Community Health & Behavioral Sciences, Tulane University, School of Public Health & Tropical Medicine, New Orleans, Louisiana, USA.

出版信息

Psychogeriatrics. 2020 Jul;20(4):458-468. doi: 10.1111/psyg.12530. Epub 2020 Feb 11.

Abstract

BACKGROUND

Social networks and social support can influence older adults' depressive symptoms, but depressive symptoms can also influence network maintenance. This study examined longitudinal relationships between social network structure, social support, and depressive symptoms.

METHODS

Data are from Waves 1 (2005-2006) and 2 (2010-2011) of the National Social Life, Health, and Aging Project, a longitudinal study on health and social factors of older adults. Models examining: (i) the influence of T1 network structure and T1 social support on T2 depressive symptoms; (ii) the influence of T1 depressive symptoms and T1 network structure on T2 social support; and (iii) the influence of T1 depressive symptoms and T1 social support on T2 network structure, were estimated using ordinary least squares lagged dependent variable regression models.

RESULTS

Evidence of reciprocal associations between social support and depressive symptoms were found, as well as social support and the number of close ties and frequency of contact. No clear reciprocal associations between social network structure and depressive symptoms were found, although density was associated with later depressive symptoms, and depressive symptoms were associated with later number of close ties.

CONCLUSION

The reciprocal relationship between network structure and depressive symptoms is weak, whereas social support is strongly related to both depression and network structure, suggesting the importance of having supportive ties in an older adult's personal network for positive mental health.

摘要

背景

社交网络和社会支持会影响老年人的抑郁症状,但抑郁症状也会影响社交网络的维护。本研究考察了社交网络结构、社会支持与抑郁症状之间的纵向关系。

方法

数据来自国家社会生活、健康与老龄化项目的第 1 波(2005-2006 年)和第 2 波(2010-2011 年),这是一项关于老年人健康和社会因素的纵向研究。采用普通最小二乘法滞后因变量回归模型,估计了以下模型:(i)T1 网络结构和 T1 社会支持对 T2 抑郁症状的影响;(ii)T1 抑郁症状和 T1 网络结构对 T2 社会支持的影响;(iii)T1 抑郁症状和 T1 社会支持对 T2 网络结构的影响。

结果

发现社会支持与抑郁症状之间存在相互关联的证据,以及社会支持与亲密关系的数量和联系频率之间存在相互关联的证据。社交网络结构与抑郁症状之间没有明显的相互关联,尽管密度与后来的抑郁症状有关,而抑郁症状与后来的亲密关系数量有关。

结论

网络结构与抑郁症状之间的相互关系较弱,而社会支持与抑郁和网络结构都有很强的关系,这表明在老年人的个人网络中拥有支持性的联系对心理健康有重要意义。

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