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Hossain, Zakir, Das, Jiban Kanai, Fahim, Nahian Fyrose, Ali, Hasan and Khondoker, Mizanur 
ORCID: https://orcid.org/0000-0002-1801-1635
(2023)
Prevalence and predictors of cognitive impairment among the elderly in Bangladesh.
Journal of Public Health, 31 (4).
529–537.
ISSN 2198-1833
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Abstract
Aim: To investigate the prevalence of cognitive impairment and its predictors among the elderly in Bangladesh. Subject and Methods: We use a cross-sectional survey of 1015 older people (≥60 years) in Bangladesh collected jointly by the Sir William Beveridge Foundation (SWBF) and Aging Support Forum (ASF), Bangladesh. The Mini-Mental State Examination (MMSE) scale, adapted to the Bengali language, was used for assessing cognitive impairment, which was available for 111 participants. Logistic regression analysis was used to identify predictors of cognitive impairment. Multiple imputation under the missing-at-random (MAR) mechanism was used to deal with missing data. Results: Overall, 31 out of 111 (27.9%) participants had mild, moderate or severe cognitive impairment, with a higher proportion among women (33.3%, 17 out of 51) than men (23.3%, 14 out of 60). More precisely, 24 out of 111 (21.6%) and 7 out of 111 (6.3%) had mild/moderate and severe cognitive impairment, respectively, with a higher percentage among women (mild/moderate: 25.5%, severe: 7.8%) than men (mild/moderate: 18.3%, severe: 5.0%). Age (odds ratio, OR = 1.06, p = 0.046, 95% CI: 1.001 to 1.119) and social engagement (OR = 0.25, p = 0.033, 95% CI: 0.072 to 0.898) were found to be statistically significant predictors of cognitive impairment in this group of people. The effect of physical disability fell short of statistical significance at the 5% level but was significant at the 10% level (OR = 2.89, p = 0.099, 90% CI: 0.999 to 8.370). Conclusion: The prevalence of cognitive impairment in Bangladesh is alarming and is comparatively higher among elderly women, which seems to increase with age and the presence of any physical disability. Also, prevalence appears to be lower in people who are more socially engaged or active.
| Item Type: | Article |
|---|---|
| Additional Information: | Acknowledgements: The authors would like to acknowledge the Sir William Beveridge Foundation (SWBF) and Aging Support Forum (ASF), Bangladesh, for conducting this survey and providing access to their data. |
| Uncontrolled Keywords: | cognitive impairment,dementia,mar,mmse,multiple imputation,old age,public health, environmental and occupational health ,/dk/atira/pure/subjectarea/asjc/2700/2739 |
| Faculty \ School: | Faculty of Medicine and Health Sciences > Norwich Medical School |
| UEA Research Groups: | Faculty of Medicine and Health Sciences > Research Groups > Epidemiology and Public Health Faculty of Medicine and Health Sciences > Research Groups > Public Health and Health Services Research (former - to 2023) Faculty of Science > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Centres > Population Health |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 09 Jun 2021 00:17 |
| Last Modified: | 09 May 2024 14:30 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/80225 |
| DOI: | 10.1007/s10389-021-01569-z |
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