National burden of disabilities in Bangladesh and its socio-demographic correlates: A 2021 cross-sectional analysis
5 affiliations
- 1Department of Fisheries, Jamalpur Science & Technology University, Jamalpur, Bangladesh
- 2Department of Population Science, Jatiya Kabi Kazi Nazrul Islam University, Mymensingh, Bangladesh
- 3Research and Evaluation Unit, SAJIDA Foundation, Dhaka, Bangladesh
- 4CSF Global, Dhaka, Bangladesh
- 5Central Queensland Public Health Unit, Central Queensland Hospital and Health Service, Rockhampton, Australia
Abstract
Disability remains an important public health and social challenge, particularly in low- and middle-income countries (LMICs), including Bangladesh. However, nationally representative evidence on its burden, distribution, and associated factors remains limited. This study estimated the national prevalence and patterns of disability in Bangladesh and examined their sociodemographic correlates. This cross-sectional study analysed data from 155,025 participants in the 2021 National Survey on Persons with Disabilities (NSPD). Disability status (yes or no) was the primary outcome. Explanatory variables were measured at the individual, household, and community levels. Multilevel mixed-effects logistic regression models, stratified by age group (0–17 years [children] and 18–95 years [adults]), were used to examine factors associated with disability. The prevalence of disability was 2.79% (95% CI 2.69–2.91). Physical disability (42.44%) and visual impairment (14.11%) were the most commonly reported types, and 11.60% of persons with disabilities reported multiple disabilities. Overall, disability was more prevalent among males, although sex-specific patterns differed by age. Among children, girls had 31% higher adjusted odds of disability than boys (adjusted odds ratio [aOR] 1.31, 95% CI 1.13–1.52), whereas no significant sex was observed among adults (aOR 1.06, 95% CI 0.95–1.19). In both age groups, the odds of disability increased with years of schooling and household wealth. Among adults, housewives, students, and blue-collar workers had higher odds of disability than agriculture workers. Higher community-level literacy was associated with higher odds of disability among adults, whereas the association was reversed among children. The findings support strengthening community-based disability identification and referral in Bangladesh through existing primary health-care services, particularly in underserved populations and areas. Coordination between the Ministry of Health and Family Welfare and the Department of Social Services could improve access to existing social protection, rehabilitation, and assistive-device services.
Related
- Socioeconomic and Demographic Correlates of Maternal Mortality: A Cross-National Ecological Study
- Care trajectories in children with profound intellectual and multiple disabilities/polyhandicap: a cross-sectional study of the French National Cohort
- Prevalence of Depression and Anxiety and Their Sociodemographic, Stigma, and Help-Seeking Correlates Among Adults in Bangladesh: A Multi-Site Cross-Sectional Study
- Spatial distribution and ecological correlates of sexual, physical and emotional violence against adolescent girls and young women in Namibia: a geospatial analysis of a national cross-sectional survey.
- Anxiety and depressive symptoms in women with disabilities during pregnancy and childbirth: an analysis of Nepal demographic and health survey 2022 data.
BibTeX
@article{rahman2026national,
title = {{National burden of disabilities in Bangladesh and its socio-demographic correlates: A 2021 cross-sectional analysis}},
author = {Mizanur Rahman and Md Shohel Rana and Gulam Khandaker and Md Mostafizur Rahman and Md Nuruzzaman Khan},
journal = {PLOS Global Public Health},
year = {2026},
month = oct,
doi = {10.1371/journal.pgph.0007463},
url = {https://journals.plos.org/globalpublichealth/article?id=10.1371/journal.pgph.0007463},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - National burden of disabilities in Bangladesh and its socio-demographic correlates: A 2021 cross-sectional analysis
AU - Mizanur Rahman
AU - Md Shohel Rana
AU - Gulam Khandaker
AU - Md Mostafizur Rahman
AU - Md Nuruzzaman Khan
PY - 2026
DA - 2026/10/08
JO - PLOS Global Public Health
DO - 10.1371/journal.pgph.0007463
UR - https://journals.plos.org/globalpublichealth/article?id=10.1371/journal.pgph.0007463
AB - Disability remains an important public health and social challenge, particularly in low- and middle-income countries (LMICs), including Bangladesh. However, nationally representative evidence on its burden, distribution, and associated factors remains limited. This study estimated the national prevalence and patterns of disability in Bangladesh and examined their sociodemographic correlates. This cross-sectional study analysed data from 155,025 participants in the 2021 National Survey on Persons with Disabilities (NSPD). Disability status (yes or no) was the primary outcome. Explanatory variables were measured at the individual, household, and community levels. Multilevel mixed-effects logistic regression models, stratified by age group (0–17 years [children] and 18–95 years [adults]), were used to examine factors associated with disability. The prevalence of disability was 2.79% (95% CI 2.69–2.91). Physical disability (42.44%) and visual impairment (14.11%) were the most commonly reported types, and 11.60% of persons with disabilities reported multiple disabilities. Overall, disability was more prevalent among males, although sex-specific patterns differed by age. Among children, girls had 31% higher adjusted odds of disability than boys (adjusted odds ratio [aOR] 1.31, 95% CI 1.13–1.52), whereas no significant sex was observed among adults (aOR 1.06, 95% CI 0.95–1.19). In both age groups, the odds of disability increased with years of schooling and household wealth. Among adults, housewives, students, and blue-collar workers had higher odds of disability than agriculture workers. Higher community-level literacy was associated with higher odds of disability among adults, whereas the association was reversed among children. The findings support strengthening community-based disability identification and referral in Bangladesh through existing primary health-care services, particularly in underserved populations and areas. Coordination between the Ministry of Health and Family Welfare and the Department of Social Services could improve access to existing social protection, rehabilitation, and assistive-device services.
SN - 2767-3375
ER -