Exploring the Moderating Role of Demographic Variables in the Influence of Social Networks on the Mental Health of the Older Persons: An Empirical Study With Social Work Interventions

IF 1 Q4 GERONTOLOGY
Mahammadsha Nadaf, J.O Jeryda Gnanajane Eljo
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Abstract

Understanding the intricate interplay between demographic shifts and the profound influence of social networks on the mental health of older adults is crucial amid our rapidly aging global population. As societies evolve, the significance of social connections intensifies, directly impacting the well-being of older individuals. This empirical research, encompassing 50 individuals aged 60 years and above from urban and rural areas in equal proportions, aims to comprehend sociodemographic characteristics, assess social network resilience, evaluate mental health, and investigate how sociodemographic factors shape mental well-being. Utilizing Chi-Square tests, correlation coefficients, independent samples t-tests, and frequency tables, the study reveals nuanced insights into the complex relationship between social network strength and demographic variables among older adults. The research methodology employs a comprehensive set of tools, including a self-prepared interview schedule for socio-demographic details, the Lubben Social Network Scale (LSNS-R), and the Mental Health Inventory (MHI). These instruments, recognized for their reliability and validity, offer a thorough assessment of social networks and mental health. The study's outcomes emphasize the necessity of tailored approaches that consider diverse sociodemographic factors in addressing the mental health needs of older adults. In conclusion, this research contributes significantly to the understanding of how social networks influence the mental health of older adults within the context of demographic shifts, underscoring the imperative of personalized strategies to effectively cater to the diverse mental health needs of this population in view of social work practice.

探索人口变量在社会网络对老年人心理健康影响中的调节作用:社会工作干预的实证研究
在全球人口迅速老龄化的背景下,了解人口结构变化与社交网络对老年人心理健康的深刻影响之间错综复杂的相互作用至关重要。随着社会的发展,社会关系的重要性不断加强,直接影响着老年人的福祉。这项实证研究涵盖了来自城市和农村地区的 50 名 60 岁及以上的老年人,旨在了解他们的社会人口特征、评估他们的社会网络复原力、评估他们的心理健康,并研究社会人口因素如何影响他们的心理健康。本研究采用了 Chi-Square 检验、相关系数、独立样本 t 检验和频率表等方法,揭示了社会网络强度与老年人人口统计学变量之间复杂关系的细微差别。研究方法采用了一整套工具,包括自编的社会人口详情访谈表、卢本社会网络量表(LSNS-R)和心理健康量表(MHI)。这些工具因其可靠性和有效性而得到认可,可对社交网络和心理健康进行全面评估。研究结果表明,在满足老年人的心理健康需求时,有必要采取有针对性的方法,考虑不同的社会人口因素。总之,这项研究极大地促进了人们对社会网络如何在人口结构变化的背景下影响老年人心理健康的理解,强调了在社会工作实践中必须采取个性化策略,以有效满足这一人群的不同心理健康需求。
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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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