Evidence map›Paper›PMID 42147472›Full record

ReviewHealth science reports2026

Impact of Pollution on Mental Health: A Systematic Review of Associations, Methodological Challenges, and Future Directions.

Sreeni Chadalavada, Alen Shahini, Yuki Hagiwara, Massimo Salvi, Ekta Sharma, Sonja March, Tracy Kolbe-Alexanders, Ravinesh Deo, Aly Farag, Prabal Datta Barua and 2 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Health science reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Sreeni ChadalavadaSchool of Engineering University of Southern Queensland Springfield Queensland Australia.
Alen ShahiniBiolab, PolitoBIOMedLab, Department of Electronics and Telecommunications Politecnico di Torino Turin Italy.
Yuki HagiwaraFraunhofer Institute for Cognitive Systems IKS Munich Germany.
Massimo SalviBiolab, PolitoBIOMedLab, Department of Electronics and Telecommunications Politecnico di Torino Turin Italy.ORCID https://orcid.org/0000-0001-7225-7401
Ekta SharmaSchool of Mathematics, Physics and Computing University of Southern Queensland Springfield Queensland Australia.
Sonja MarchSchool of Psychology and Wellbeing, the Centre for Health Research, and the Manna Institute of University of Southern Queensland Ipswich Springfield Queensland Australia.
Tracy Kolbe-AlexandersSchool of Health and Medical Sciences, the Centre for Health Research, and the Manna Institute of University of Southern Queensland Ipswich Springfield Australia.
Ravinesh DeoSchool of Mathematics, Physics and Computing University of Southern Queensland Springfield Queensland Australia.
Aly FaragComputer Vision and Image Processing Laboratory, Department of Electrical and Computer Engineering University of Louisville Louisville Kentucky USA.
Prabal Datta BaruaSchool of Business (Information System) University of Southern Queensland Springfield Queensland Australia.
Filippo MolinariBiolab, PolitoBIOMedLab, Department of Electronics and Telecommunications Politecnico di Torino Turin Italy.
U Rajendra AcharyaSchool of Mathematics, Physics and Computing University of Southern Queensland Springfield Queensland Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: Environmental pollutants, including contaminated air, harmful chemicals, and excessive noise, are increasingly prevalent in modern society. These contaminants can significantly affect mental well-being, a fundamental determinant of cognitive functioning, emotional regulation, interpersonal relationships, life satisfaction, and overall physical health. Methods: This systematic review examines the effects of various types of pollution, such as air pollution, noise pollution, and chemical contaminants, as well as their interactions, on mental health outcomes across diverse populations. Results: Our search identified 61 high-quality studies that met our inclusion criteria. Among quantitative studies, 81% ( Conclusion: This review highlights the urgent need for standardized mental health monitoring systems, interdisciplinary collaboration, and the development of comprehensive data collection frameworks as essential prerequisites for leveraging advanced analytical methods in understanding pollution-mental health relationships.

Indexed as

artificial intelligencecognitive functionmachine learningmental healthpollutionpublic health

Identifiers

PMID42147472
PMCPMC13172299

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.