Evidence map›Paper›PMID 42848791›Full record

ArticlePLOS global public health2026

National burden of disabilities in Bangladesh and its socio-demographic correlates: A 2021 cross-sectional analysis.

Mizanur Rahman, Md Shohel Rana, Gulam Khandaker, Md Mostafizur Rahman, Md Nuruzzaman Khan

Abstract read
In one paragraph

Article in PLOS global public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Mizanur RahmanDepartment of Fisheries, Jamalpur Science & Technology University, Jamalpur, Bangladesh.ORCID https://orcid.org/0000-0001-7607-1428
Md Shohel RanaDepartment of Population Science, Jatiya Kabi Kazi Nazrul Islam University, Mymensingh, Bangladesh.ORCID https://orcid.org/0009-0003-6167-1377
Gulam KhandakerCSF Global, Dhaka, Bangladesh.
Md Mostafizur RahmanDepartment of Population Science and Human Resource Development, University of Rajshahi, Rajshahi, Bangladesh.
Md Nuruzzaman KhanDepartment of Population Science, Jatiya Kabi Kazi Nazrul Islam University, Mymensingh, Bangladesh.ORCID https://orcid.org/0000-0002-4550-4363

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID42848791
PMCPMC13648970

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.