Global Multidisciplinary Journal

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Coping Capacity and Psychosocial Adaptation Patterns in Indian Elderly: A Descriptive Analysis

4 Technical University, Nepal

Abstract

The rapid demographic transition toward an aging population in India has intensified the need to understand the coping capacity and psychosocial adaptation patterns among the elderly. This study presents a descriptive analysis of how older adults in India manage stress, maintain psychological resilience, and adapt to socio-economic, health-related, and environmental challenges. The research integrates interdisciplinary perspectives, combining insights from psychosocial health, nutritional science, and technological interventions to examine adaptive mechanisms in elderly populations.

Drawing on existing literature, particularly the work of Agarwal et al. (2023), the study explores the interrelationship between resilience, stress management, and psychosocial well-being. It further investigates how factors such as nutrition, health conditions, socio-economic status, and access to technological support systems influence coping capacity. The role of emerging technologies, including dietary recommender systems and ambient assisted living tools, is analyzed to assess their potential in enhancing elderly well-being.

The study adopts a conceptual-descriptive framework, synthesizing findings from multiple empirical and theoretical sources. It identifies key determinants of coping capacity, including emotional regulation, social support, financial stability, and health management. Additionally, it highlights the importance of adaptive behaviors in mitigating the effects of aging-related stressors.

The findings suggest that psychosocial adaptation among Indian elderly is a multi-dimensional process influenced by both internal and external factors. While resilience and coping strategies enable many individuals to maintain well-being, structural inequalities and health challenges can limit adaptive capacity. The integration of technological solutions and policy interventions emerges as a critical pathway for improving outcomes.

The paper concludes by proposing a comprehensive framework for enhancing coping capacity through integrated approaches involving healthcare, social support systems, and technological innovation. It emphasizes the need for targeted interventions and future research to address gaps in understanding and implementation.

Keywords

References

📄 Agapito, G. Calabrese, Barbara Guzzi, Pietro Cannataro, Mario Simeoni, Mariadelina Carè, Ilaria Lamprinoudi, Theodora Fuiano, Giorgio Pujia, A.. ( 2016 ). DIETOS: A recommender system for adaptive diet monitoring and personalized food suggestion. 1–8. 10.1109/WiMOB.2016.7763190.
📄 Agarwal, R., Usha Rani, B., & V, S. . (2023). RESILIENCE TO STRESS AND PSYCOSOCIAL ADJUSTMENTS AMONG ELDERS IN INDIA: a DESCRIPTIVE STUDY. European Chemical Bulletin, 12(05), 510–527. https://doi.org/10.48047/ecb/2023.12.si5.051
📄 Alvaro Fides Juan P. Lázaro, “Ambient Assisted Nutritional Advisor for Elderly People living at home,” in 32nd Annual International Conference of the IEEE EMBS, Argentina, 2010.
📄 ASN-staff. ( 2020, Mar. ) The Role of Nutrition in Supporting the Immune System Relative to Coronavirus (COVID-19). https://nutrition.org/the-role-of-nutrition-in-supporting-the-immune-system-relative-to-coronavirus-covid-19
📄 Espín, Vanesa Hurtado, María Noguera, Manuel. ( 2015 ). Nutrition for Elder Care: A nutritional semantic recommender system for the elderly. Expert Systems. 33. n/a-n/a. 10.1111/exsy.12143.
📄 M. Porras, Arnel C. Fajardo Edmarlyn, “Solving Dietary Planning Problem using Particle Swarm Optimization with Genetic Operators,” ACM, 2019.
📄 Ramya M. S. Ranganathan T. S., “To assess the nutritional status among elderly and factors influencing it in an urban area, Bengaluru,” in International Journal of Community Medicine and Public Health, pp. 1727 - 1732, 2017.
📄 Samuel Manoharan and Shatish, “Patient Diet Recommendation System Using K Clique and Deep learning Classifiers,” Journal of Artificial Intelligence and Capsule Networks 2020, vol. 02, pp. 121 - 130, 2020.
📄 Sharma, Neetu Chandra ( 2019 - 10 - 10 ), “Government survey found 11.8% prevalence of diabetes in India ”, Livemint, Retrieved 2020 - 04 - 29.
📄 “Share of population over age of 60 in India projected to increase to 20% in 2050: UN. ” The Economic Times, 17 Apr. 2019, www.economictimes.indiatimes.com/news/politics-and-nation/share-of-population-over-age-of-60-in-india-projected-to-increase-to-20-in-2050-un/articleshow/68919318.cms.
📄 Talbi, El-Ghazali, METAHEURISTICS:From design to Implementation. United States of America : John Wiley and Sons, 2009.

How to Cite

Dr. A. Karki. (2025). Coping Capacity and Psychosocial Adaptation Patterns in Indian Elderly: A Descriptive Analysis. Global Multidisciplinary Journal, 4(06), 20-28. https://www.grpublishing.org/journals/index.php/gmj/article/view/415

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