Social Support and its Association with Socio-demographic Factors among Elderly in District Ghaziabad
Reg ID: 339
DOI:
https://doi.org/10.56450/JEFI.2025.v3i2Suppl.041Abstract
Introduction: Elderly individuals often experience physical decline, loneliness, and dependence, making social support an essential determinant of their quality of life. With changing family structures in India, it is important to understand the level of social support available to the elderly and how it varies with socio-demographic factors. This study was conducted to assess level of social support among the elderly population in district Ghaziabad and to examine its association with socio-demographic factors.
Methodology: A community-based cross-sectional study was carried out among 630 participants who were aged 60 years and above in rural areas of district Ghaziabad. Participants were selected by multistage random sampling. Data were collected using a predesigned semi-structured questionnaire, which included socio-demographic details and the Multidimensional Scale of Perceived Social Support (MSPSS). The data were analyzed using SPSS and chi-square tests were applied to determine associations.
Results: Out of 630 elderly, 42.1% were aged 60–69 years, and 73.8% were males. The majority were Hindus (83.0%) and 52.7% were married. 31.9% were illiterate, 64.1% were not working and 48.6% financially dependent. Perceived social support was moderate in 65.2%, high in 17.9%, and low in 16.8%. Family provided the highest support (mean score 4.12 ± 1.26). Significant associations were found between social support and age, religion, caste, marital status, education, occupation, financial dependency, socio-economic status, and family type (p<0.001).
Conclusion: Most elderly reported moderate social support, mainly from family. Socio-demographic factors significantly influenced support, highlighting the need to strengthen family and community networks.
Downloads
References
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Nidhi Arora, Gajendra Kumar Gupta, Deepika Agrawal, Rahul Kumar, Syed Hasan Nawaz Zaidi, Amod Kumar (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- NonCommercial — You may not use the material for commercial purposes.
- NoDerivatives — If you remix, transform, or build upon the material, you may not distribute the modified material.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.