Social Networks and Mental Health: A Study of Older Adults in Rural Bihar, India

IF 1.1 Q4 GERONTOLOGY
Bijoy Bhattacharjee, Aditya Raj
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Abstract

With record high population growth in India, the number of older adults has significantly increased. In Bihar (a state in India) with a high population density, the number of older adults is substantial, but they are under-studied. Moreover, there has not been any significant research on mental health concerns of the older adults, and none from rural Bihar. The older adults go through common mental health conditions like depression, which is often overlooked and neglected. In our study, the role of social networks on depression emerges as pivotal. This study used data from the Longitudinal Ageing Study in India (LASI) with a sample of 1255 older people (60 years or older) from rural Bihar. We used Berkman’s conceptual model of how social relationships affect depression. The network was measured by Confirmatory Factor Analysis (CFA) given by Glass et al. which shows that four types of social networks were formed- children’s network, relative’s network, friends’ network, and confidant network. Bivariate and multivariate analysis was done to understand the association and effect of specific networks on depression. The result establishes the importance of social networks for the community life of older adults. It suggests that a strong social network with relatives and trusted confidants protected the older adults from depression in rural Bihar. This study highlighted the need for more social network centers for older adults to engage with friends within or between communities and participate in group activities that promote good mental health.

社会网络与心理健康:对印度比哈尔邦农村老年人的研究
随着印度创纪录的人口增长,老年人的数量显著增加。在人口密度高的比哈尔邦(印度的一个邦),老年人的数量很大,但对他们的研究不足。此外,没有任何关于老年人心理健康问题的重要研究,而且没有来自比哈尔邦农村的研究。老年人会经历常见的心理健康问题,如抑郁症,这往往被忽视和忽视。在我们的研究中,社交网络对抑郁症的作用是至关重要的。这项研究使用了印度纵向老龄化研究(LASI)的数据,其中包括来自比哈尔邦农村的1255名老年人(60岁或以上)。我们使用了伯克曼关于社会关系如何影响抑郁症的概念模型。通过Glass等人给出的验证性因子分析(Confirmatory Factor Analysis, CFA)对网络进行了测量,结果表明形成了四种类型的社交网络——儿童网络、亲戚网络、朋友网络和知己网络。通过双变量和多变量分析来了解特定网络与抑郁症的关联和影响。该结果确立了社会网络对老年人社区生活的重要性。研究表明,在比哈尔邦农村,与亲戚和信任的知己组成的强大社会网络可以保护老年人免受抑郁症的侵害。这项研究强调了老年人需要更多的社交网络中心,以便与社区内或社区之间的朋友交流,并参与促进良好心理健康的团体活动。
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来源期刊
Ageing International
Ageing International GERONTOLOGY-
CiteScore
2.70
自引率
6.70%
发文量
39
期刊介绍: As a quarterly peer-reviewed journal that has existed for over three decades, Ageing International serves all professionals who deal with complex ageing issues. The journal is dedicated to improving the life of ageing populations worldwide through providing an intellectual forum for communicating common concerns, exchanging analyses and discoveries in scientific research, crystallizing significant issues, and offering recommendations in ageing-related service delivery and policy making. Besides encouraging the submission of high-quality research and review papers, Ageing International seeks to bring together researchers, policy analysts, and service program administrators who are committed to reducing the ''implementation gap'' between good science and effective service, between evidence-based protocol and culturally suitable programs, and between unique innovative solutions and generalizable policies. For significant issues that are common across countries, Ageing International will organize special forums for scholars and investigators from different disciplines to present their regional perspectives as well as to provide more comprehensive analysis. The editors strongly believe that such discourse has the potential to foster a wide range of coordinated efforts that will lead to improvements in the quality of life of older persons worldwide. Abstracted and Indexed in: ABI/INFORM, Academic OneFile, Academic Search, CSA/Proquest, Current Abstracts, EBSCO, Ergonomics Abstracts, Expanded Academic, Gale, Google Scholar, Health Reference Center Academic, OCLC, PsychINFO, PsyARTICLES, SCOPUS, Social Science Abstracts, and Summon by Serial Solutions.
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