Exploring the association between malnourishment and depression among community-dwelling elderly in India

Objective: The objective of this study is to find out the association between malnutrition and depression among community-dwelling elderly. Methods: The research design was cross-sectional, and purposive sampling technique was used for sample collection. The sample consists of 260 elderly people above 60 years of age, who meet inclusion criteria. Self-structured sociodemographic pro forma used and standard tool of the Mini Nutritional Assessment Scale and Geriatric Depression Scale (GDS) were used for data collection. Results: The mean age of participants was 68.8 ± 7.3 years. There is a significant association between malnutrition and depression ( χ 2 = 33.04, P < 0.001). Body mass index was associated with malnutrition of community-dwelling elderly ( χ 2 = 100.43, P < 0.05) while sociodemographic variables such as income ( χ 2 = 2.58, P < 0.05), BMI ( χ 2 = 22.21, P < 0.05), and alcohol intake ( χ 2 = 10.33, P < 0.05) were found to be associated with depression of community-dwelling elderly. Conclusion: This study found a significant association between malnutrition and depression among community-dwelling elderly in India. The findings highlight the need for integrated screening and interventions addressing both nutritional and mental health to improve overall well-being in the elderly population. Thus, nurses can educate the elderly persons and their family members about prevention and management of malnutrition and depression.

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Publication Details

Journal
Journal of Integrative Nursing
Published
2025-04-01
DOI
https://doi.org/10.4103/jin.jin_12_25
Primary Topic
Health disparities and outcomes
Type
article
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article

Exploring the association between malnourishment and depression among community-dwelling elderly in India

Krishna Sankar Ganguly, Soumya Santra, Jasmir G. Nayak, Susan Konda et al.
Journal of Integrative Nursing
Health disparities and outcomes
article

Exploring the association between malnourishment and depression among community-dwelling elderly in India

Krishna Sankar Ganguly, Soumya Santra, Jasmir G. Nayak, Susan Konda, R. Chowdhury, Ipsita Nayak
article en

Abstract

Objective: The objective of this study is to find out the association between malnutrition and depression among community-dwelling elderly. Methods: The research design was cross-sectional, and purposive sampling technique was used for sample collection. The sample consists of 260 elderly people above 60 years of age, who meet inclusion criteria. Self-structured sociodemographic pro forma used and standard tool of the Mini Nutritional Assessment Scale and Geriatric Depression Scale (GDS) were used for data collection. Results: The mean age of participants was 68.8 ± 7.3 years. There is a significant association between malnutrition and depression ( χ 2 = 33.04, P < 0.001). Body mass index was associated with malnutrition of community-dwelling elderly ( χ 2 = 100.43, P < 0.05) while sociodemographic variables such as income ( χ 2 = 2.58, P < 0.05), BMI ( χ 2 = 22.21, P < 0.05), and alcohol intake ( χ 2 = 10.33, P < 0.05) were found to be associated with depression of community-dwelling elderly. Conclusion: This study found a significant association between malnutrition and depression among community-dwelling elderly in India. The findings highlight the need for integrated screening and interventions addressing both nutritional and mental health to improve overall well-being in the elderly population. Thus, nurses can educate the elderly persons and their family members about prevention and management of malnutrition and depression.

Journal of Integrative NursingVol. 7(2)
Siksha O Anusandhan University (IN), Institute of Medical Sciences and Sum Hospital (IN)
Openalex Percentile: Top 81%
Health disparities and outcomes
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Exploring the association between malnourishment and depression among community-dwelling elderly in India — Krishna Sankar Ganguly, Soumya Santra, et al. · Journal of Integrative Nursing (2025) | TGRS Research Map | TGRS