Abhishek Singh1, Mohan Bairwa2, Shewtank Goel3, Ravi Bypareddy4, Prassana Mithra5. 1. Department of Community Medicine, Shaheed Hasan Khan Mewati Government Medical College, Nalhar (Mewat) Haryana, PIN- 122107, India. 2. Centre for Community Medicine, All India Institute of Medical Sciences, Ansari Nagar New Delhi - 110029 India. 3. Department of Microbiology, Teerthanker Mahaveer Medical College and Research Centre, N. H. 24, Delhi Road, Moradabad, Uttar Pradesh 244001 India. 4. Dr. R. P. Centre for Ophthalmic Sciences, All India Institute of Medical Sciences, Ansari Nagar New Delhi - 110029 India. 5. Department of Community Medicine, Kasturba Medical College, Madhav Nagar, Manipal-576104, Karnataka India.
Abstract
BACKGROUND: Surrogate markers simple enough to be used by primary care workers have not been closely investigated by the community experts in rural Uttar Pradesh. We assessed the physical disabilities in activities of daily living (ADL) and unmet need in physical disabilities among rural elderly. Predictors of unmet needs in physical disabilities among the elderly were also identified. METHODS: A community based cross-sectional study was conducted among elderly residents of the rural field practice area of a tertiary care centre in rural Uttar Pradesh. Three hundred and thirty five (335) participants aged 60 years and above from 9 villages were selected using the Probability Proportional to Size (PPS) sampling technique. Study tools were the proforma regarding socio-demographic details, socio-economic status and Stanford Health Assessment Questionnaire. Multivariate logistic regression analysis was performed to identify predictors of unmet needs. RESULTS: 185 (55.2%) had physical disability in one or more activity limitation. Gender wise elderly females had more physical disability in one or more ADL categories than elderly males (66.8% vs. 42.0%). Almost one third (32.5%) of subjects had unmet need for one or more physical disabilities. the predictors of unmet needs that were identified in the study were female gender (P = 0.046), elderly aged 70 years and above (P = 0.032), those living alone (P = 0.035), low monthly family income (P = 0.044), financially fully dependent elderly (P = 0.0002), and those having 3 or more physical disabilities (P = 0.033). CONCLUSIONS: The findings of the study highlight that large number of needs of the disabled are still unmet. Greater, targeted efforts are needed to identify at-risk elderly people living in the community. These predictors would act as surrogate markers and can be easily used by primary care workers to plan and provide services to the elderly people in rural communities.
BACKGROUND: Surrogate markers simple enough to be used by primary care workers have not been closely investigated by the community experts in rural Uttar Pradesh. We assessed the physical disabilities in activities of daily living (ADL) and unmet need in physical disabilities among rural elderly. Predictors of unmet needs in physical disabilities among the elderly were also identified. METHODS: A community based cross-sectional study was conducted among elderly residents of the rural field practice area of a tertiary care centre in rural Uttar Pradesh. Three hundred and thirty five (335) participants aged 60 years and above from 9 villages were selected using the Probability Proportional to Size (PPS) sampling technique. Study tools were the proforma regarding socio-demographic details, socio-economic status and Stanford Health Assessment Questionnaire. Multivariate logistic regression analysis was performed to identify predictors of unmet needs. RESULTS: 185 (55.2%) had physical disability in one or more activity limitation. Gender wise elderly females had more physical disability in one or more ADL categories than elderly males (66.8% vs. 42.0%). Almost one third (32.5%) of subjects had unmet need for one or more physical disabilities. the predictors of unmet needs that were identified in the study were female gender (P = 0.046), elderly aged 70 years and above (P = 0.032), those living alone (P = 0.035), low monthly family income (P = 0.044), financially fully dependent elderly (P = 0.0002), and those having 3 or more physical disabilities (P = 0.033). CONCLUSIONS: The findings of the study highlight that large number of needs of the disabled are still unmet. Greater, targeted efforts are needed to identify at-risk elderly people living in the community. These predictors would act as surrogate markers and can be easily used by primary care workers to plan and provide services to the elderly people in rural communities.
Authors: Angel Otero; María Jesús García de Yébenes; Angel Rodríguez-Laso; María Victoria Zunzunegui Journal: Aging Clin Exp Res Date: 2003-06 Impact factor: 3.636
Authors: Guy Harling; Collin F Payne; Justine I Davies; F Xavier Gomez-Olive; Kathleen Kahn; Lenore Manderson; Farrah J Mateen; Stephen M Tollman; Miles D Witham Journal: J Aging Health Date: 2019-01-02
Authors: Ben Brinkmann; Justine I Davies; Miles D Witham; Guy Harling; Till Bärnighausen; Mamadou Bountogo; Mark J Siedner; Lucienne Ouermi; Jana Junghanns; Boubacar Coulibaly; Ali Sié; Collin F Payne; Iliana V Kohler Journal: J Gerontol B Psychol Sci Soc Sci Date: 2021-10-30 Impact factor: 4.077