Spatiotemporal Trends in Mortality Burden from Suicide Associated with Short-Term Exposures to PM2.5 and Its Chemical Constituents in China: A Large Time-Stratified Case-Crossover Study
{"title":"Spatiotemporal Trends in Mortality Burden from Suicide Associated with Short-Term Exposures to PM2.5 and Its Chemical Constituents in China: A Large Time-Stratified Case-Crossover Study","authors":"Yilin Li, Jinlei Qi, Jianxiong Hu, Yi Lin, Qijiong Zhu, Jiangmei Liu, Peng Yin, Guanhao He, Yulin Zhuo, Yayi Li, Xinjie Xiao, Wan Peng, Yuan Zheng, Tao Liu, Wenjun Ma, Maigeng Zhou","doi":"10.1021/envhealth.5c00530","DOIUrl":null,"url":null,"abstract":"<p>Suicide\r\nis an important public health challenge globally, with\r\nambient fine particulate matter with aerodynamic diameters ≤\r\n2.5 μm (PM<sub>2.5</sub>) identified as a risk factor for suicide\r\nmortality. However, the spatiotemporal changes of the suicide mortality\r\nburden associated with short-term exposures to PM<sub>2.5</sub> chemical\r\nconstituents in China remain unknown. In this study, we investigated\r\nthe spatiotemporal trends of the mortality burden from suicide associated\r\nwith short-term exposures to PM<sub>2.5</sub> chemical constituents\r\nat both national and provincial levels across China. A nationwide,\r\ntime-stratified case-crossover design was conducted using the individual\r\nsuicide mortality data from the Chinese National Mortality Surveillance\r\nSystem from January 1, 2014, to December 31, 2019. Conditional logistic\r\nregression models were applied to evaluate the nonlinear excess risks\r\n(ERs) of suicide mortality for short-term exposures (lag0–1\r\nday) to PM<sub>2.5</sub> mass and chemical constituents, and the corresponding\r\nattributable fractions (AFs) associated with PM<sub>2.5</sub> and\r\nits constituents were also calculated. Temporal changes in AFs from\r\n2014 to 2019 were analyzed using linear regression models at the national\r\nand provincial levels. This study included 372,164 suicide deaths\r\nfrom 2,758 counties/districts across China from 2014 to 2019. The\r\nannual average changes in the concentrations of PM<sub>2.5</sub> mass,\r\nblack carbon (BC), organic matter (OM), ammonium (NH<sub>4</sub><sup>+</sup>), nitrate (NO<sub>3</sub><sup>–</sup>), and sulfate\r\n(SO<sub>4</sub><sup>2–</sup>) during 2014–2019 were\r\n−3.47, −0.17, −0.72, −0.55, −0.68,\r\nand −0.78 μg/m<sup>3</sup>/year, respectively. Correspondingly,\r\nthe annual average change in AFs of suicide mortality in PM<sub>2.5</sub> mass was −0.38% (95% CI: −0.98%, 0.22%). Among the\r\nPM<sub>2.5</sub> chemical constituents, SO<sub>4</sub><sup>2–</sup> (−0.56, 95% CI: −1.21, 0.09%) and NO<sub>3</sub><sup>–</sup> (−0.45, 95% CI: −0.89, −0.02%)\r\nshowed greater decreasing trends in annual average changes of AFs,\r\nfollowed by NH<sub>4</sub><sup>+</sup> (−0.40, 95% CI: −0.75,\r\n−0.05%), BC (−0.40, 95% CI: −1.01, 0.22%), and\r\nOM (−0.23, 95% CI: −0.79, 0.34%). The temporal changes\r\nof AFs exhibited greater decreasing trends in violent suicides in\r\nthe warm season, and people resided in Eastern and Western China.\r\nThe top three provinces exhibiting the highest annual average reduction\r\nin PM<sub>2.5</sub> mass-related AFs were Qinghai, Xizang, and Fujian.\r\nThe primary associated socio-economic indicators influencing the spatiotemporal\r\ntrends in PM<sub>2.5</sub>-related suicide mortality burden were identified\r\nas green space area, Gross Domestic Product per capita, and unemployment\r\nrate. Our findings robustly highlight the substantial health benefits\r\nof ambient PM<sub>2.5</sub> pollution control, especially SO<sub>4</sub><sup>2–</sup> and NO<sub>3</sub><sup>–</sup>, offering\r\na valuable reference for other regions grappling with severe air pollution\r\nissues.</p>","PeriodicalId":29795,"journal":{"name":"Environment & Health","volume":"4 7","pages":"1515–1528"},"PeriodicalIF":8.8000,"publicationDate":"2026-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environment & Health","FirstCategoryId":"1085","ListUrlMain":"https://pubs.acs.org/doi/10.1021/envhealth.5c00530","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/3/3 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Suicide
is an important public health challenge globally, with
ambient fine particulate matter with aerodynamic diameters ≤
2.5 μm (PM2.5) identified as a risk factor for suicide
mortality. However, the spatiotemporal changes of the suicide mortality
burden associated with short-term exposures to PM2.5 chemical
constituents in China remain unknown. In this study, we investigated
the spatiotemporal trends of the mortality burden from suicide associated
with short-term exposures to PM2.5 chemical constituents
at both national and provincial levels across China. A nationwide,
time-stratified case-crossover design was conducted using the individual
suicide mortality data from the Chinese National Mortality Surveillance
System from January 1, 2014, to December 31, 2019. Conditional logistic
regression models were applied to evaluate the nonlinear excess risks
(ERs) of suicide mortality for short-term exposures (lag0–1
day) to PM2.5 mass and chemical constituents, and the corresponding
attributable fractions (AFs) associated with PM2.5 and
its constituents were also calculated. Temporal changes in AFs from
2014 to 2019 were analyzed using linear regression models at the national
and provincial levels. This study included 372,164 suicide deaths
from 2,758 counties/districts across China from 2014 to 2019. The
annual average changes in the concentrations of PM2.5 mass,
black carbon (BC), organic matter (OM), ammonium (NH4+), nitrate (NO3–), and sulfate
(SO42–) during 2014–2019 were
−3.47, −0.17, −0.72, −0.55, −0.68,
and −0.78 μg/m3/year, respectively. Correspondingly,
the annual average change in AFs of suicide mortality in PM2.5 mass was −0.38% (95% CI: −0.98%, 0.22%). Among the
PM2.5 chemical constituents, SO42– (−0.56, 95% CI: −1.21, 0.09%) and NO3– (−0.45, 95% CI: −0.89, −0.02%)
showed greater decreasing trends in annual average changes of AFs,
followed by NH4+ (−0.40, 95% CI: −0.75,
−0.05%), BC (−0.40, 95% CI: −1.01, 0.22%), and
OM (−0.23, 95% CI: −0.79, 0.34%). The temporal changes
of AFs exhibited greater decreasing trends in violent suicides in
the warm season, and people resided in Eastern and Western China.
The top three provinces exhibiting the highest annual average reduction
in PM2.5 mass-related AFs were Qinghai, Xizang, and Fujian.
The primary associated socio-economic indicators influencing the spatiotemporal
trends in PM2.5-related suicide mortality burden were identified
as green space area, Gross Domestic Product per capita, and unemployment
rate. Our findings robustly highlight the substantial health benefits
of ambient PM2.5 pollution control, especially SO42– and NO3–, offering
a valuable reference for other regions grappling with severe air pollution
issues.
期刊介绍:
Environment & Health a peer-reviewed open access journal is committed to exploring the relationship between the environment and human health.As a premier journal for multidisciplinary research Environment & Health reports the health consequences for individuals and communities of changing and hazardous environmental factors. In supporting the UN Sustainable Development Goals the journal aims to help formulate policies to create a healthier world.Topics of interest include but are not limited to:Air water and soil pollutionExposomicsEnvironmental epidemiologyInnovative analytical methodology and instrumentation (multi-omics non-target analysis effect-directed analysis high-throughput screening etc.)Environmental toxicology (endocrine disrupting effect neurotoxicity alternative toxicology computational toxicology epigenetic toxicology etc.)Environmental microbiology pathogen and environmental transmission mechanisms of diseasesEnvironmental modeling bioinformatics and artificial intelligenceEmerging contaminants (including plastics engineered nanomaterials etc.)Climate change and related health effectHealth impacts of energy evolution and carbon neutralizationFood and drinking water safetyOccupational exposure and medicineInnovations in environmental technologies for better healthPolicies and international relations concerned with environmental health