Evidence map›Paper›PMID 41617813›Full record

ArticleScientific reports2026

Impact of air pollution on mental health in bangladesh: a comparison between Dhaka and Rajshahi.

Md Abu Bakkar Siddik, Al Mahmud, Akher Ali, Jannatul Ferdos, Mujtaba Tamim Al Mahdee, Hongyan Guo

Abstract readComparative Study
In one paragraph

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

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Md Abu Bakkar SiddikState Key Laboratory of Water Pollution Control and Green Resource Recycling, School of the Environment, Nanjing University, Nanjing, China. rmksiddik@yahoo.com.
Al MahmudSchool of Dental Sciences, Universiti Sains Malaysia, Health Campus, Kelantan, 16150, Malaysia.
Akher AliDepartment of Statistics and Data Science, Jahangirnagar University, Dhaka, Bangladesh.ORCID http://orcid.org/0000-0001-7171-0737
Jannatul FerdosDepartment of Geography and Environmental Studies, University of Chittagong, Chattogram, 4331, Bangladesh.ORCID http://orcid.org/0009-0004-1106-4015
Mujtaba Tamim Al MahdeeMBBS, Shaheed Suhrawardy Medical College, Dhaka, Bangladesh.ORCID http://orcid.org/0009-0006-0503-1182
Hongyan GuoState Key Laboratory of Water Pollution Control and Green Resource Recycling, School of the Environment, Nanjing University, Nanjing, China. hyguo@nju.edu.cn.

Funding

The study received National Natural Science Foundation China (NSFC) grant Grant number: W2442027.
6 · The paper itself

Abstract

This study examines how air pollution impacts mental health outcomes- such as depression, anxiety, and stress- in two Bangladeshi cities: Dhaka, a highly polluted urban center, and Rajshahi, a city with lower pollution levels. Using a cross-sectional approach, 2717 participants were assessed, including 1,431 from Dhaka and 1286 from Rajshahi. Data collection involved secondary sources and surveys evaluating environmental pollutants (PM2.5, PM10, NO2, CO, SO2, Ozone), self-reported exposure, and mental health status using the DASS-21 scale. The analysis used descriptive statistics, multiple linear regression, multilevel analysis, and structural equation modeling (SEM) to explore the links between air pollution and mental health, adjusting for factors such as age, income, and residence. Results reveal significantly higher rates of mental health issues in Dhaka compared to Rajshahi: 57.3% of Dhaka residents reported depression and anxiety, and 48.3% reported stress, whereas rates in Rajshahi were lower at 37.4%, 38.3%, and 32.1%, respectively. Higher exposure to pollutants- such as PM2.5, PM10, NO2, CO, SO2, and O3- was strongly tied to increased depression, anxiety, and stress. For example, high PM2.5 exposure was linked to 57.3% experiencing moderate to severe mental health issues versus 37.4% in lower exposure groups. Similar trends were seen with other pollutants. Self-reported exposure and perceived air quality were also significant predictors, with Dhaka residents experiencing more severe distress. These findings highlight the widespread mental health problems connected to air pollution, emphasizing the urgent need for public health measures in highly polluted areas to reduce psychological stress and improve urban well-being.

Indexed as

Air PollutionEnvironmental ExposureMental HealthAdultAir PollutantsAnxietyBangladeshCitiesCross-Sectional StudiesDepressionFemaleHumansMaleMiddle AgedParticulate MatterStress, PsychologicalAir PollutantsParticulate MatterAir pollutionAnxietyBangladeshDepressionStress

Identifiers

PMID41617813
PMCPMC12913602

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LicenceCC BY-NC-ND
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Registered trials

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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.