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老年人的社交网络规模、孤独感、身体机能和抑郁症状:在“纵向老龄化研究阿姆斯特丹”(LASA)的四个波次中考察相互关联。

Social network size, loneliness, physical functioning and depressive symptoms among older adults: Examining reciprocal associations in four waves of the Longitudinal Aging Study Amsterdam (LASA).

机构信息

Department of Sociology, Universitat de Barcelona, Barcelona, Spain.

Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.

出版信息

Int J Geriatr Psychiatry. 2021 Oct;36(10):1541-1549. doi: 10.1002/gps.5560. Epub 2021 May 9.

Abstract

INTRODUCTION

Previous research indicates that social isolation, loneliness, physical dysfunction and depressive symptoms are interrelated factors, little is known about the potential pathways among them. The aim of the study is to analyse simultaneously reciprocal relationships that could exist between the four factors to clarify potential mediation effects.

METHODS

Within a large representative sample of older people in the Longitudinal Aging Study Amsterdam (LASA), participants aged 75 and over were followed up over a period of 11 years (four waves). We tested cross-lagged and autoregressive longitudinal associations of social network size, loneliness, physical functioning and depressive symptoms using structural equation modelling (SEM).

RESULTS

Several statistically significant cross-lagged associations were found: decreasing physical functioning (Coef. = -0.03; p < 0.05), as well as social network size (Coef. = -0.02; p < 0.05), predicted higher levels of loneliness, which predicted an increase in depressive symptoms (Coef. = 0.17; p < 0.05) and further reduction of social network (Coef. = -0.20; p < 0.05). Decreasing physical functioning also predicted an increase in depressive symptoms (Coef. = -0.08; p < 0.05). All autoregressive associations were statistically significant.

CONCLUSION

Interventions focused on promoting social activities among older adults after negative life events, such as loss of social contacts or declining physical function, may alleviate feelings of loneliness and act as mental health protector.

摘要

简介

先前的研究表明,社会孤立、孤独、身体功能障碍和抑郁症状是相互关联的因素,它们之间的潜在途径知之甚少。本研究的目的是同时分析这四个因素之间可能存在的相互关系,以澄清潜在的中介效应。

方法

在阿姆斯特丹纵向老龄化研究(LASA)的一个大型代表性老年人样本中,年龄在 75 岁及以上的参与者在 11 年的时间(四个波次)内进行了随访。我们使用结构方程模型(SEM)测试了社会网络规模、孤独感、身体机能和抑郁症状之间的交叉滞后和自回归纵向关联。

结果

发现了几个具有统计学意义的交叉滞后关联:身体机能下降(系数= -0.03;p < 0.05),以及社会网络规模下降(系数= -0.02;p < 0.05),预测孤独感增加,而孤独感又预测抑郁症状增加(系数= 0.17;p < 0.05)和社会网络进一步减少(系数= -0.20;p < 0.05)。身体机能下降也预测抑郁症状增加(系数= -0.08;p < 0.05)。所有自回归关联均具有统计学意义。

结论

在老年人经历负面生活事件(如失去社交联系或身体功能下降)后,关注促进社交活动的干预措施,可能会减轻孤独感并起到保护心理健康的作用。

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