{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T21:41:00Z","timestamp":1769636460520,"version":"3.49.0"},"reference-count":88,"publisher":"BMJ","issue":"4","license":[{"start":{"date-parts":[[2022,4,18]],"date-time":"2022-04-18T00:00:00Z","timestamp":1650240000000},"content-version":"unspecified","delay-in-days":17,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["BMJ Open"],"accepted":{"date-parts":[[2022,3,23]]},"published-print":{"date-parts":[[2022,4]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>The present study aimed to examine the associations of several indicators of food insecurity with depression among older adults in India.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design<\/jats:title>\n                    <jats:p>A cross-sectional study was conducted using country-representative survey data.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Setting and participants<\/jats:title>\n                    <jats:p>The present study uses data of the Longitudinal Aging Study in India conducted during 2017\u20132018. The effective sample size for the present study was 31 464 older adults aged 60 years and above.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Primary and secondary outcome measures<\/jats:title>\n                    <jats:p>The outcome variable was major depression among older adults. Descriptive statistics along with bivariate analysis was presented. Additionally, binary logistic regression analysis was used to establish the association between the depression and food security factors along with other covariates.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The overall prevalence of major depression was 8.4% among older adults in India. A proportion of 6.3% of the older adults reduced the size of meals, 40% reported that they did not eat enough food of their choice, 5.6% mentioned that they were hungry but did not eat, 4.2% reported that they did not eat for a whole day and 5.6% think that they have lost weight due to lack of enough food in the household. Older adults who reported to have reduced the size of meals due to lack of enough food (adjusted OR (AOR): 1.76, CI 1.44 to 2.15) were hungry but did not eat (AOR: 1.35, CI 1.06 to 1.72) did not eat food for a whole day (AOR: 1.33; CI 1.03 to 1.71), lost weight due to lack of food (AOR: 1.57; CI 1.30 to1.89) had higher odds of being depressed in reference to their respective counterparts.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The findings suggest that self-reported food insecurity indicators were strongly associated with major depression among older Indian adults. The national food security programmes should be enhanced as an effort to improve mental health status and quality of life among older population.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/bmjopen-2021-052718","type":"journal-article","created":{"date-parts":[[2022,4,19]],"date-time":"2022-04-19T12:13:48Z","timestamp":1650370428000},"page":"e052718","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":16,"title":["Food insecurity and associated depression among older adults in India: evidence from a population-based study"],"prefix":"10.1136","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1486-7038","authenticated-orcid":false,"given":"Muhammad","family":"T","sequence":"first","affiliation":[{"name":"Department of Family & Generations, International Institute for Population Sciences, Mumbai, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"KM","family":"Sulaiman","sequence":"additional","affiliation":[{"name":"Department of Migration & Urban Studies, International Institute for Population Sciences, Mumbai, Maharashtra, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Drishti","family":"Drishti","sequence":"additional","affiliation":[{"name":"Department of Public Health & Mortality Studies, International Institute for Population Sciences, Mumbai, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7138-4916","authenticated-orcid":false,"given":"Shobhit","family":"Srivastava","sequence":"additional","affiliation":[{"name":"Department of Survey Research & Data Analytics, International Institute for Population Sciences, Mumbai, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"239","published-online":{"date-parts":[[2022,4,19]]},"reference":[{"key":"2025121406564103000_12.4.e052718.1","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1016\/j.measurement.2017.10.065","article-title":"Food security measurement in a global context: the food insecurity experience scale","volume":"116","author":"Cafiero","year":"2018","journal-title":"Measurement"},{"key":"2025121406564103000_12.4.e052718.2","unstructured":"FAO . 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