Evidence map›Paper›PMID 40133978›Full record

ArticleArchives of public health = Archives belges de sante publique2025

Long-term exposure to air pollutants, meteorological factors, and mental health status: a nationwide population-based study with multilevel regression analysis.

Shiva Raj Acharya, Jeevan Bhatta, Diwash Timilsina, Navin Ray, Sandip Pahari

Abstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Shiva Raj AcharyaNational Clinical Research Center for Collaborative Medicine, Research Institute for Korean Medicine, Pusan National University, Yangsan, Republic of Korea. sameeracharya39@gmail.com.
Jeevan BhattaASEAN Institute for Health Development, Mahidol University, Salaya, Thailand.
Diwash TimilsinaDepartment of Health Informatics, Swansea University, Sketty, Swansea, UK.
Navin RayDepartment of Integrative Biomedical Sciences, Pusan National University, Yangsan, Korea.
Sandip PahariSchool of Health and Allied Sciences, Pokhara University, Kaski, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAir pollutants and meteorological conditions have shown significant adverse effects on human health; however, their impact on mental health remains inconclusive and underexplored. Thus, this study aimed to investigate the association between long-term exposure to air pollutants (PM

methodsWe selected 10,076 participants aged 15-49 from the Nepal Demographic and Health Survey (NDHS) 2022, who had lived in their current domiciles for over five years. The Patient Health Questionnaire-9 (PHQ-9) and the Generalized Anxiety Disorder (GAD-7) scale were used to quantify the presence of depression and anxiety. The mean levels of air pollutants (PM

resultsThe prevalence of depression and anxiety among participants was 3.8% and 16.9%, respectively. Increased PM

conclusionThis study demonstrates the substantial impact of air pollutants and meteorological factors on mental health status. Findings suggest that exposure to air pollutants may serve as an independent risk factor for depression and anxiety. Therefore, further robust investigations including large epidemiological cohorts and longitudinal observational studies are needed to elucidate these associations. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Air pollutantsAnxietyDepressionExposureMeteorological factorsNepal

Identifiers

PMID40133978
PMCPMC11934701

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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.