Biopsychosocial factors of depression among community-dwelling geriatric population with low perceived social support; a population-based study
Background: Although significant and disabling consequences are presented due to geriatric population-related depression, an insufficient comprehension of various biological, psychological, and social factors affecting this issue has been observed. Notably, these factors can contribute to geriat...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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BioMed Central
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/112164/1/BIOPSYCHOSOCIAL%20FACTORS%20OF%20DEPRESSION%20AMONG%20COMMUNITY%20DWELLING%20GERIATRIC%20POPULATION%20WITH%20LOW%20PERCEIVED%20SOCIAL%20SUPPORT%20A%20POPULATION%20BASED%20STUDY.pdf |
| _version_ | 1811138099987611648 |
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| author | Ali, Nur Zahirah Balqis Ahmad, Norliza Minhat, Halimatus Sakdiah Azman, Ahmad Zaid Fattah |
| author_facet | Ali, Nur Zahirah Balqis Ahmad, Norliza Minhat, Halimatus Sakdiah Azman, Ahmad Zaid Fattah |
| author_sort | Ali, Nur Zahirah Balqis |
| collection | UPM |
| description | Background: Although significant and disabling consequences are presented due to geriatric population-related
depression, an insufficient comprehension of various biological, psychological, and social factors affecting this issue
has been observed. 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.
Methods: 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.
Results: The weighted prevalence of depression among the community-dwelling geriatric population aged 60 and
above with low social support was 22.5% (95% CI: 17.3–28.7). 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: 1.063–3.803, p: 0.031), having dementia, as opposed to the absence of the disease
(aOR 3.717, 95% CI: 1.544–8.888, p: 0.003), and having a visual disability, as compared to regular visions (aOR 3.462,
95% CI: 1.504–7.972, 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: 0.599–0.759, p < 0.001) and 24.7% (aOR: 0.753, 95% CI:
0.671–0.846, p < 0.001) decrease in the likelihood of developing depression, respectively |
| first_indexed | 2024-09-25T03:44:49Z |
| format | Article |
| id | upm.eprints-112164 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-09-25T03:44:49Z |
| publishDate | 2024 |
| publisher | BioMed Central |
| record_format | dspace |
| spelling | upm.eprints-1121642024-09-17T03:59:46Z http://psasir.upm.edu.my/id/eprint/112164/ Biopsychosocial factors of depression among community-dwelling geriatric population with low perceived social support; a population-based study Ali, Nur Zahirah Balqis Ahmad, Norliza Minhat, Halimatus Sakdiah Azman, Ahmad Zaid Fattah Background: Although significant and disabling consequences are presented due to geriatric population-related depression, an insufficient comprehension of various biological, psychological, and social factors affecting this issue has been observed. 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. Methods: 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. Results: The weighted prevalence of depression among the community-dwelling geriatric population aged 60 and above with low social support was 22.5% (95% CI: 17.3–28.7). 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: 1.063–3.803, p: 0.031), having dementia, as opposed to the absence of the disease (aOR 3.717, 95% CI: 1.544–8.888, p: 0.003), and having a visual disability, as compared to regular visions (aOR 3.462, 95% CI: 1.504–7.972, 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: 0.599–0.759, p < 0.001) and 24.7% (aOR: 0.753, 95% CI: 0.671–0.846, p < 0.001) decrease in the likelihood of developing depression, respectively BioMed Central 2024-08-14 Article PeerReviewed text en cc_by_4 http://psasir.upm.edu.my/id/eprint/112164/1/BIOPSYCHOSOCIAL%20FACTORS%20OF%20DEPRESSION%20AMONG%20COMMUNITY%20DWELLING%20GERIATRIC%20POPULATION%20WITH%20LOW%20PERCEIVED%20SOCIAL%20SUPPORT%20A%20POPULATION%20BASED%20STUDY.pdf Ali, Nur Zahirah Balqis and Ahmad, Norliza and Minhat, Halimatus Sakdiah and Azman, Ahmad Zaid Fattah (2024) Biopsychosocial factors of depression among community-dwelling geriatric population with low perceived social support; a population-based study. BMC Geriatrics, 24. art. no. 685. pp. 1-14. ISSN 1471-2318 https://bmcgeriatr.biomedcentral.com/articles/10.1186/s12877-024-05211-x 10.1186/s12877-024-05211-x |
| spellingShingle | Ali, Nur Zahirah Balqis Ahmad, Norliza Minhat, Halimatus Sakdiah Azman, Ahmad Zaid Fattah Biopsychosocial factors of depression among community-dwelling geriatric population with low perceived social support; a population-based study |
| title | Biopsychosocial factors of depression among community-dwelling geriatric population with low perceived social support; a population-based study |
| title_full | Biopsychosocial factors of depression among community-dwelling geriatric population with low perceived social support; a population-based study |
| title_fullStr | Biopsychosocial factors of depression among community-dwelling geriatric population with low perceived social support; a population-based study |
| title_full_unstemmed | Biopsychosocial factors of depression among community-dwelling geriatric population with low perceived social support; a population-based study |
| title_short | Biopsychosocial factors of depression among community-dwelling geriatric population with low perceived social support; a population-based study |
| title_sort | biopsychosocial factors of depression among community dwelling geriatric population with low perceived social support a population based study |
| url | http://psasir.upm.edu.my/id/eprint/112164/1/BIOPSYCHOSOCIAL%20FACTORS%20OF%20DEPRESSION%20AMONG%20COMMUNITY%20DWELLING%20GERIATRIC%20POPULATION%20WITH%20LOW%20PERCEIVED%20SOCIAL%20SUPPORT%20A%20POPULATION%20BASED%20STUDY.pdf |
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