Evidence map›Paper›PMID 40696197›Full record

ArticleSocial psychiatry and psychiatric epidemiology2026

Exploring gender disparities in the relationship between food insecurity and depression among older adults in India.

Y Selvamani, Arokiasamy Perianayagam, Joelle H Fong, Gayatri Khanal

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Article in Social psychiatry and psychiatric epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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4 authors.

Y SelvamaniSchool of Public Health, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, Tamil Nadu, India. selvamay@srmist.edu.in.
Arokiasamy PerianayagamSocial and Economic Survey Research Institute (SESRI), Qatar University, PO 2713, Doha, Qatar.
Joelle H FongLee Kuan Yew School of Public Policy, National University of Singapore, Singapore, Singapore.
Gayatri KhanalSchool of Public Health, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, Tamil Nadu, India.

Funding

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6 · The paper itself

Abstract

purposeFood insecurity is a significant global issue impacting public health and human rights, affecting millions worldwide. Older population in India are vulnerable to food insecurity due to age-related changes in socioeconomic status and insecurity. This study explores gender differences in the association between food insecurity and depression among older adults in India aged 50 and above.

methodsA cross-sectional analysis was performed using data from the first wave of the WHO's Study on Global AGEing and Adult Health (SAGE). Multivariable logistic regression was employed to assess the influence of gender on the relationship between food insecurity and depression. Additionally, the study explored how gender, marital status, and food insecurity interact in relation to depression.

resultsThe study found an overall depression prevalence of 19% in the population. Among men, the prevalence was 22.6% and 21.2% while among women, it was 26.4% and 38.9% among individuals reporting moderate and severe food insecurity, respectively. Regression analysis revealed a significant association between food insecurity and depression in women, with older women experiencing moderate (OR = 1.60, p < 0.001) and severe food insecurity (OR = 2.23, p < 0.001) being more likely to be diagnosed with depression. Additionally, older widowed adults facing severe food insecurity had an increased likelihood of depression (OR = 2.18, p < 0.001) and the association is statistically significant among women (OR = 1.79, p < 0.010).

conclusionThe study highlights pronounced gender disparities in the relationship between food insecurity and depression. Therefore, it is crucial for public policy initiatives to prioritize the needs of women.

Indexed as

DepressionFood InsecurityFood SupplyAgedAged, 80 and overCross-Sectional StudiesFemaleHumansIndiaLogistic ModelsMaleMiddle AgedPrevalenceSex FactorsSocioeconomic FactorsFood securityMental healthMiddle-income countriesOlder adults

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