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本文引用的文献

1
Objectively-Measured Neighbourhood Attributes as Correlates and Moderators of Quality of Life in Older Adults with Different Living Arrangements: The ALECS Cross-Sectional Study.客观测量的邻里属性与不同居住安排的老年人生活质量的相关性和调节作用:ALECS 横断面研究。
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2
Health disparities in Europe's ageing population: the role of social network.欧洲老龄化人口中的健康差异:社会网络的作用。
Glob Health Action. 2018;11(1):1445498. doi: 10.1080/16549716.2018.1445498.
3
Longitudinal associations between social connections and subjective wellbeing in the English Longitudinal Study of Ageing.英国老龄化纵向研究中社会关系与主观幸福感之间的纵向关联。
Psychol Health. 2015;30(6):686-98. doi: 10.1080/08870446.2014.979823. Epub 2014 Dec 4.
4
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社会网络特征与老年人生活质量的相关性和调节作用——SHARE 研究。

Social network characteristics as correlates and moderators of older adults' quality of life-the SHARE study.

机构信息

Research Unit for Active Living, Department of Sports Sciences and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark.

Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia.

出版信息

Eur J Public Health. 2021 Jul 13;31(3):541-547. doi: 10.1093/eurpub/ckab001.

DOI:10.1093/eurpub/ckab001
PMID:33547475
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8530164/
Abstract

BACKGROUND

The quality of life (QoL) of older adults is a key aspect of healthy ageing, and older adults' socioeconomic status (SES), the neighbourhood they live in and their social networks (SN) are known to impact QoL. However, little is known about the interaction between these concepts. The aim was to examine how SN, SES and neighbourhood type are associated with QoL in older adults.

METHODS

: Wave 4 (year 2011) and wave 6 (year 2015) data from the longitudinal Survey of Health, Ageing and Retirement in Europe were used for the analysis. Multilevel regression models estimated the associations including 34 792 participants from wave 4 and 67 334 participants from wave 6 from 16 countries (mean age = 66.45 years). The outcome variable was QoL, independent variables were SES (education and making end meet) and neighbourhood type (housing type and housing area), and SN variables (satisfaction and size) were the moderators.

RESULTS

: SES and SN variables were positively associated with QoL. Living in a house or duplex was positively associated with QoL compared with living in a farmhouse. SN moderated the association between education and QoL. The effect of area type on QoL was moderated by SN size. SN satisfaction was an independent correlate of QoL.

CONCLUSION

: Older adults' satisfaction with their SN may be more important than having a large SN. Low SES older adults may be more prone to having weak SN. Maintaining and creating supportive SN may attenuate the negative effects of low SES or less favourable neighbourhood characteristics.

摘要

背景

老年人的生活质量(QoL)是健康老龄化的关键方面,老年人的社会经济地位(SES)、他们居住的社区以及他们的社交网络(SN)已知会影响 QoL。然而,人们对这些概念之间的相互作用知之甚少。本研究旨在探讨 SN、SES 和社区类型如何与老年人的 QoL 相关。

方法

使用来自欧洲健康、老龄化和退休纵向调查的第 4 波(2011 年)和第 6 波(2015 年)数据进行分析。多水平回归模型估计了包括来自 16 个国家的第 4 波 34792 名参与者和第 6 波 67334 名参与者的关联,平均年龄为 66.45 岁。因变量是 QoL,自变量是 SES(教育和收支平衡)和社区类型(住房类型和住房面积),SN 变量(满意度和规模)是调节变量。

结果

SES 和 SN 变量与 QoL 呈正相关。与住在农舍相比,住在房子或双联式住宅与 QoL 呈正相关。SN 调节了教育与 QoL 之间的关系。SN 规模调节了区域类型对 QoL 的影响。SN 满意度是 QoL 的独立相关因素。

结论

老年人对 SN 的满意度可能比拥有大型 SN 更为重要。SES 较低的老年人可能更容易拥有较弱的 SN。维持和创造支持性的 SN 可能会减轻 SES 较低或社区特征不利的负面影响。