Evidence map›Paper›PMID 40400547›Full record

ArticleEnvironment & health (Washington, D.C.)2025

Ambient Temperature and Suicide Risk in Thailand: Evidence from Chiang Mai and Bangkok Provinces.

Ramita Thawonmas, Yoonhee Kim, Masahiro Hashizume

Abstract read
In one paragraph

Article in Environment & health (Washington, D.C.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  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

3 authors.

Ramita ThawonmasSchool of Tropical Medicine and Global Health, Nagasaki University, Nagasaki 852-8523, Japan.ORCID https://orcid.org/0009-0005-9753-5144
Yoonhee KimDepartment of Global Environmental Health, Graduate School of Medicine, The University of Tokyo, Bunkyo, Tokyo 113-8654, Japan.
Masahiro HashizumeDepartment of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Bunkyo, Tokyo 113-8654, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Suicide is a critical public health issue with rates varying across regions and demographic groups. Recent evidence suggests that ambient temperature may influence suicide risk. This study examines the association between temperature and suicide in Thailand's tropical climate, focusing on Chiang Mai and Bangkok provinces, and quantifies the attributable burden. Daily suicide and meteorological data from 2002 to 2021 were analyzed using a time-stratified case-crossover approach with a distributed lag nonlinear model, adjusted for relative humidity. Province-specific estimates were pooled through a multivariate meta-regression model. The study found a positive, mostly linear association between temperature and suicide risk, with a relative risk (RR) of 1.70 (95% CI: 1.35, 2.15) across the temperature range. Approximately 24.61% of suicides were attributable to temperature, with 12.05% due to hot temperatures above the 66th percentile. The pooled attributable fractions were higher in the 0-64 age group compared to those aged ≥65, while differences between sexes were not statistically significant. This study highlights the significant association between higher ambient temperatures and increased suicide risks in Thailand, emphasizing the need to integrate climate considerations into mental health and suicide prevention policies. Further research across diverse climatic zones is essential for understanding climate influences on mental health globally.

Identifiers

PMID40400547
PMCPMC12090010

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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.