Evidence map›Paper›PMID 42538457›Full record

ArticleEnvironmental science and pollution research international2026

Air pollution and suicide mortality in the UK: implications for environmental and mental health policy.

Sara Daoud, Alaa Al-Aswadi, Humayd Dada, Rima J Isaifan

Abstract read
In one paragraph

Article in Environmental science and pollution research international, 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
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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

4 authors.

Sara DaoudSchool of Foreign Service, Georgetown University, P.O. Box 23689, Doha, Qatar.
Alaa Al-AswadiSchool of Foreign Service, Georgetown University, P.O. Box 23689, Doha, Qatar.
Humayd DadaSchool of Foreign Service, Georgetown University, P.O. Box 23689, Doha, Qatar.ORCID http://orcid.org/0000-0002-9590-4939
Rima J IsaifanSchool of Foreign Service, Georgetown University, P.O. Box 23689, Doha, Qatar. rji7@georgetown.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Air pollution is a well-established risk factor for physical illness and premature mortality, yet its relationship with suicide remains less well understood, particularly at the national level and over longer periods of exposure. Although previous studies have reported positive associations between particulate matter and suicide, evidence remains heterogeneous, and national longitudinal analyses are limited. This study examines the association between fine particulate matter (PM₂.₅) concentrations and suicide mortality across local authorities in the UK between 2015 and 2023. Suicide data obtained from the UK Office for National Statistics were combined with modelled PM₂.₅ estimates from the Department for Environment, Food and Rural Affairs, resulting in a balanced panel of more than 2200 local authority-year observations. Fixed-effects panel regression models were employed to account for unobserved time-invariant local characteristics and common year-specific shocks, while nonlinear specifications were estimated to examine potential threshold effects. The descriptive analysis revealed a negative cross-sectional association between PM₂.₅ concentrations and suicide rates. However, after controlling for local authority and year fixed effects, PM₂.₅ was positively and significantly associated with suicide mortality (β = 0.221, p = 0.007). The nonlinear model further identified a statistically significant U-shaped relationship, with an estimated turning point at approximately 7.8 µg/m

Indexed as

Air PollutionSuicideAir PollutantsHealth PolicyHumansMental HealthParticulate MatterUnited KingdomAir PollutantsParticulate MatterAir pollutionMental healthPM₂.₅PolicySuicideUK

Identifiers

PMID42538457
PMCPMC13476332

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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.