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Notably, these factors can contribute to geriatric population-related depression with low social support. This study aimed to identify factors associated with depression among the community-dwelling geriatric population with low social support in Malaysia.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>This study used secondary data from a population-based health survey in Malaysia, namely the National Health Morbidity Survey (NHMS) 2018: Elderly Health. The analysis included 926 community-dwelling geriatric population aged 60 and above with low social support. The primary data collection was from August to October 2018, using face-to-face interviews. This paper reported the analysis of depression as the dependent variable, while various biological, psychological and social factors, guided by established biopsychosocial models, were the independent variables. Multiple logistic regression was applied to identify the factors. Analysis was performed using the complex sampling module in the IBM SPSS version 29.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>The weighted prevalence of depression among the community-dwelling geriatric population aged 60 and above with low social support was 22.5% (95% CI: 17.3\u201328.7). This was significantly higher than depression among the general geriatric Malaysian population. The factors associated with depression were being single, as compared to those married (aOR 2.010, 95% CI: 1.063\u20133.803, p: 0.031), having dementia, as opposed to the absence of the disease (aOR 3.717, 95% CI: 1.544\u20138.888, p: 0.003), and having a visual disability, as compared to regular visions (aOR 3.462, 95% CI: 1.504\u20137.972, p: 0.004). The analysis also revealed that a one-unit increase in control in life and self-realisation scores were associated with a 32.6% (aOR: 0.674, 95% CI: 0.599\u20130.759, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001) and 24.7% (aOR: 0.753, 95% CI: 0.671\u20130.846, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001) decrease in the likelihood of developing depression, respectively.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>This study suggested that conducting depression screenings for the geriatric population with low social support could potentially prevent or improve the management of depression. The outcome could be achieved by considering the identified risk factors while implementing social activities, which enhanced control and self-fulfilment.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12877-024-05211-x","type":"journal-article","created":{"date-parts":[[2024,8,14]],"date-time":"2024-08-14T11:02:22Z","timestamp":1723633342000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Biopsychosocial factors of depression among community-dwelling geriatric population with low perceived social support; a population-based study"],"prefix":"10.1186","volume":"24","author":[{"given":"Nur Zahirah","family":"Balqis-Ali","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Norliza","family":"Ahmad","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Halimatus Sakdiah","family":"Minhat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ahmad Zaid","family":"Fattah Azman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,8,14]]},"reference":[{"issue":"10033","key":"5211_CR1","doi-asserted-by":"publisher","first-page":"2145","DOI":"10.1016\/S0140-6736(15)00516-4","volume":"387","author":"JR Beard","year":"2016","unstructured":"Beard JR, Officer A, De Carvalho IA, Sadana R, Pot AM, Michel J-P, et al. 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