Dissemin is shutting down on January 1st, 2025

Published in

BioMed Central, BMC Geriatrics, 1(21), 2021

DOI: 10.1186/s12877-020-01970-5

Links

Tools

Export citation

Search in Google Scholar

Frailty indexed classification of Bangladeshi older adults’ physio-psychosocial health and associated risk factors- a cross-sectional survey study

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Green circle
Postprint: archiving allowed
Green circle
Published version: archiving allowed
Data provided by SHERPA/RoMEO

Abstract

Abstract Background Frailty is associated with healthy ageing, and it has been identified as a means of measuring older adults’ physio-psychosocial health. We know about the ageing trends and common diseases of older adults living in South Asia, but literature to date does not widely feature their health status based on frailty, especially in Bangladesh. This study aims to understand the prevalence of frailty in Bangladeshi older adults; classify their health status; and investigate associated risk factors. Methods A cross-sectional study was conducted in the north-eastern region (i.e. Sylhet City Corporation) of Bangladesh. Four hundred participants aged 55 years and above were randomly selected, attended a health assessment session and completed a multi-indicator survey questionnaire. We developed a 30-indicator Frailty Index (FI30) to assess the participant’s health status and categorized: good health (no-frailty/Fit); slightly poor health (mild frailty); poor health (moderate frailty); and very poor health (severe frailty). Pearson chi-square test and binary logistic regression analysis were conducted. Results The participants’ mean age was 63.6 years, and 61.6% of them were assessed in poor to very poor health (moderate frailty/36.3% - severe frailty/25.3%). The eldest, female and participants from lower family income were found more frailty than their counterparts. Participants aged 70 years and above were more likely (adjusted OR: 4.23, 95% CI: 2.26–7.92, p < 0.0001) to experience frailty (medical conditions) than the pre-elderly age group (55–59 years). Female participants were more vulnerable (adjusted OR = 1.487, 95% CI: 0.84–2.64, p < 0.0174) to frailty (medical conditions) than male. Also, older adults who had higher family income (Income>$473.3) found a lower risk (adjusted OR: 0.294, 95% CI: 0.11–0.76, p < 0.011) of frailty (poor health). Conclusion Our study results confirm the prevalence of frailty-related disorders in Bangladeshi older adults and highlight the importance of targeted clinical and community-led preventive care programs.