{"title":"Social network and life satisfaction among elderly in the field practice area of tertiary care hospital Tamil Nadu.","authors":"B R Asnitha, K Bincy, M Logaraj","doi":"10.4103/jehp.jehp_1372_24","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The aging population in India is steadily increasing, with projections estimating a rise of approximately 56 million elderly individuals by 2031.<sup>[1]</sup> The concept of life satisfaction is crucial in understanding the well-being of older adults, with various factors such as income level, health status, and social connections playing pivotal roles. Positive social relationships and support have been shown to promote life satisfaction and mitigate the risk of depression among the elderly. This study explores the relationship between social networks and life satisfaction among the geriatric population in Tamil Nadu, India.</p><p><strong>Materials and methods: </strong>A cross-sectional study involving 403 elderly individuals aged 60 years and above was conducted in the field practice area of a tertiary care hospital in Tamil Nadu. Participants were selected using a multistage simple random sampling method, and data were collected through interviews and surveys. The study used the Lubben Social Network Scale (LSNS) and the Satisfaction With Life Scale (SWLS) to assess social networks and life satisfaction, respectively. Data analysis was performed using SPSS software, with descriptive statistics and Chi-square tests employed for analysis.</p><p><strong>Results: </strong>Among the total participants, 67% were found to have a decent social network, while the remaining 33% had poor social networks. Decent Family, friend, and neighbor networks were observed in this demographic. Individuals with strong social networks reported higher levels of satisfaction.</p><p><strong>Conclusion: </strong>Social networking positively influences life satisfaction. Strengthening social networks and support systems can significantly contribute to promoting the well-being and quality of life of the geriatric population.</p>","PeriodicalId":15581,"journal":{"name":"Journal of Education and Health Promotion","volume":"14 ","pages":"350"},"PeriodicalIF":1.3000,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12448559/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Education and Health Promotion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/jehp.jehp_1372_24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"EDUCATION, SCIENTIFIC DISCIPLINES","Score":null,"Total":0}
引用次数: 0
Abstract
Background: The aging population in India is steadily increasing, with projections estimating a rise of approximately 56 million elderly individuals by 2031.[1] The concept of life satisfaction is crucial in understanding the well-being of older adults, with various factors such as income level, health status, and social connections playing pivotal roles. Positive social relationships and support have been shown to promote life satisfaction and mitigate the risk of depression among the elderly. This study explores the relationship between social networks and life satisfaction among the geriatric population in Tamil Nadu, India.
Materials and methods: A cross-sectional study involving 403 elderly individuals aged 60 years and above was conducted in the field practice area of a tertiary care hospital in Tamil Nadu. Participants were selected using a multistage simple random sampling method, and data were collected through interviews and surveys. The study used the Lubben Social Network Scale (LSNS) and the Satisfaction With Life Scale (SWLS) to assess social networks and life satisfaction, respectively. Data analysis was performed using SPSS software, with descriptive statistics and Chi-square tests employed for analysis.
Results: Among the total participants, 67% were found to have a decent social network, while the remaining 33% had poor social networks. Decent Family, friend, and neighbor networks were observed in this demographic. Individuals with strong social networks reported higher levels of satisfaction.
Conclusion: Social networking positively influences life satisfaction. Strengthening social networks and support systems can significantly contribute to promoting the well-being and quality of life of the geriatric population.