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Citation Information

Type Journal Article - BMC public health
Title Prevalence and correlates of disability in Bogra district of Bangladesh using the rapid assessment of disability survey
Author(s)
Volume 15
Issue 1
Publication (Day/Month/Year) 2015
URL http://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-015-2202-7
Abstract

Background

The aim of this study was to estimate the prevalence of disability and its associated risk factors among adults aged 18 years and over in Bogra district, Bangladesh.


Methods

The Rapid Assessment of Disability (RAD) survey was conducted using probability-proportional-to-size sampling to select 66 clusters each with 50 people aged 18 years and older in 2010. Households within clusters were selected through compact segment sampling. Disability was identified based on the responses to the self-assessment of functioning section of the RAD questionnaire. Descriptive and multivariate logistic regression analyses were performed to model the associations between risk factors and disability status.


Results

Of 1855 adults who participated in the study, 195 (10.5 %) had disability. Age and gender adjusted prevalence of disability in Bogra district was 8.9 % (95 % CI: 7.7, 10.3). The highest prevalence of functional limitation was related to psychological distress (4.7 %; 95 % CI: 3.8, 5.7) followed by vision (4.4 %; 95 % CI: 3.6, 5.4), and hearing (2.3 %; 95 % CI: 1.7, 3.0) difficulties. The adjusted odds of disability increased with age with approximately eight-fold increase from 2.9 % (95 % CI: 1.6, 5.1) in 18–24 years to 24.5 % (95 % CI: 20.2, 29.4) in 55 years and above. People with poor socio-economic status (OR 1.90; 95 % CI: 1.1, 3.3) and who were unemployed (OR?=?4.6; 95 % CI: 1.8, 11.6) were more like to have disability compared to the higher socio-economic status and those who have an occupation respectively.


Conclusions

There is a significant need for promoting programs for health, well-being, and rehabilitation, and policies specifically targeting the older population, women, unemployed and poor people in Bangladesh.

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