社区老年人社交网络与抑郁的关系:系统评价。

The association of social networks and depression in community-dwelling older adults: a systematic review.

机构信息

Institute of Sociology and Social Psychology, University of Cologne, Albertus-Magnus-Platz, 50923, Cologne, Germany.

出版信息

Syst Rev. 2024 Jun 20;13(1):161. doi: 10.1186/s13643-024-02581-6.

Abstract

BACKGROUND AND OBJECTIVE

Depression is a globally prevalent mental condition, particularly among older adults. Previous research has identified that social networks have a buffering effect on depression. Existing systematic reviews have either limited their research to specific geographic areas or provided evidence from over a decade ago. The vast body of recent literature particularly from the last decade emphasizes the need for a comprehensive review. This systematic review aims to analyze the association of structural aspects of social networks and depression in older adults.

METHODS

The electronic databases APA PsycINFO, ProQuest, PSYINDEX, PubMed, Scopus, SocINDEX, and Web of Science were searched from date of data base inception until 11 July 2023. Studies were eligible for inclusion if they reported on community-dwelling older adults (defined as a mean age of at least 60 years old), had an acceptable definition for depression, referred to the term social network in the abstract, and were published in English. Quality was appraised using the Newcastle Ottawa Scale for cross-sectional and longitudinal studies. Outcome data were extracted independently from each study and analyzed by direction of the relationship, social network domain and cross-sectional or longitudinal study design.

RESULTS

In total, 127 studies were included. The study categorizes structural network aspects into seven domains and finds that larger and more diverse networks, along with closer social ties, help mitigate depression. The literature on the relationships between depression and network density, homogeneity, and geographical proximity is scarce and inconclusive. DISCUSSION AND IMPLICATIONS: Despite inconsistent findings, this review highlights the importance of quantifying complex social relations of older adults. Limitations of this review include publication and language bias as well as the exclusion of qualitative research. Further research should use longitudinal approaches to further investigate the reciprocal relationship between social networks and depression. Following this review, interventions should promote the integration of older adults in larger and more diverse social settings. Other: This work was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Grant [454899704]. This systematic review was pre-registered. The review-protocol can be accessed at https://doi.org/10.17605/OSF.IO/6QDPK .

摘要

背景与目的

抑郁症是一种在全球范围内普遍存在的精神疾病,尤其是在老年人中。先前的研究表明,社会网络对抑郁症具有缓冲作用。现有的系统评价要么将其研究仅限于特定的地理区域,要么提供的证据来自十多年前。最近的大量文献,尤其是过去十年的文献,强调了进行全面综述的必要性。本系统综述旨在分析社会网络的结构方面与老年人抑郁症之间的关系。

方法

从数据库建立日期到 2023 年 7 月 11 日,我们在 APA PsycINFO、ProQuest、PSYINDEX、PubMed、Scopus、SocINDEX 和 Web of Science 等电子数据库中进行了检索。如果研究报告的是社区居住的老年人(定义为平均年龄至少 60 岁),对抑郁症有可接受的定义,在摘要中提到了“社会网络”一词,并且以英文发表,则研究符合纳入标准。使用纽卡斯尔-渥太华量表对横断面和纵向研究进行质量评估。从每篇研究中独立提取结果数据,并根据关系的方向、社会网络领域以及横断面或纵向研究设计进行分析。

结果

共有 127 项研究被纳入。本研究将结构网络方面分为七个领域,并发现更大和更多样化的网络以及更紧密的社会联系有助于减轻抑郁。关于抑郁与网络密度、同质性和地理接近度之间关系的文献很少且不一致。

讨论与启示

尽管存在不一致的发现,但本综述强调了量化老年人复杂社会关系的重要性。本综述的局限性包括发表和语言偏见以及排除定性研究。进一步的研究应使用纵向方法来进一步研究社会网络与抑郁之间的相互关系。在本综述之后,干预措施应促进老年人融入更大和更多样化的社会环境。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e32/11188217/d36762f77b5b/13643_2024_2581_Fig1_HTML.jpg

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