Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Assessment of Fall-Associated Risk Factors in the Muslim Community-Dwelling Elders of Peshawar, Khyber Pakhtunkhwa, Pakistan

Version 1 : Received: 28 April 2023 / Approved: 4 May 2023 / Online: 4 May 2023 (10:38:49 CEST)

How to cite: Bibi, R.; Yan, Z.; Anwar, N.; Zeb, A.; Mian, N. Assessment of Fall-Associated Risk Factors in the Muslim Community-Dwelling Elders of Peshawar, Khyber Pakhtunkhwa, Pakistan. Preprints 2023, 2023050259. https://doi.org/10.20944/preprints202305.0259.v1 Bibi, R.; Yan, Z.; Anwar, N.; Zeb, A.; Mian, N. Assessment of Fall-Associated Risk Factors in the Muslim Community-Dwelling Elders of Peshawar, Khyber Pakhtunkhwa, Pakistan. Preprints 2023, 2023050259. https://doi.org/10.20944/preprints202305.0259.v1

Abstract

Falls are the third-leading cause of disabilities among the elderly population worldwide. In Pakistan, the prevalence is 44%; out of them, 8% develop injuries, placing them at high risk for hospitalization or even premature death. Interestingly, fall is multifactorial, and fall risk depends on individual characteristics (intrinsic factors) and environmental features (extrinsic factors), which can be different from context to context. Therefore, regular assessment of fall risk factors is required to develop a strategy for fall prevention. This study aimed to identify intrinsic risk factors for falls in Pakistani elders living in the communities, and provide evidence for preventive strategies of falls in elderlies. Data were collected from 140 Muslim elders from two residential areas of Peshawar, Khyber Pakhtunkhwa, from July 2022 to August 25, 2022, after taking permission from Zhengzhou University Ethical Review Board (ZUIRB #202254), and District Health Department Office (DHO #14207).Participants were informed and concern was taken before collect data. Data were collected using the Time Up and Go Test (TUGT), the Mini-Mental Status Examination, and interviews regarding the prayer practice. Factors associated with falls were; age, gender, education, cognitive status, TUGT level, incorrect prayer postures, poor vision, and history of falls with a significance of (P.<0.05). Poor cognition, low vision, poor walking speed, and prayers without body movements have good membership with falls risk prediction as (P<0.005) in Omnibus, Lemeshow score (0.77). Hence, our study provides a road map for future risk assessment for falls by adding the four mentioned risk factors as offered in the proposed model to facilitate taking timely action to prevent fall-related ailments in Pakistani elders.

Keywords

prediction; risk factors; falls risk; Muslim; community-dwelling; elders; Pakistan

Subject

Public Health and Healthcare, Primary Health Care

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