Health inequalities in PM₂.₅-related symptoms during Thailand’s haze season: the role of education, sociodemographic, lifestyle, protective behaviors, and environmental factors
- 1School of Environmental Health, Institute of Public Health, Suranaree University of Technology , ,
- 2Department of Community Medicine, Faculty of Medicine, Chiang Mai University , ,
Abstract
Background: Seasonal haze pollution in Thailand exposes populations to recurrent fine particulate matter (PM₂.₅), yet its health impacts are unequally distributed, reflecting disparities in education, social vulnerability, and protective capacity. This study examined the associations of educational attainment, sociodemographic, lifestyle, protective behaviors, and environmental factors with acute health symptoms during the haze season.
Methods: A nationwide cross-sectional study was conducted between January and April 2025 among 3,916 adults across Thailand. Data were collected through standardized interviews assessing sociodemographic characteristics, protective behaviors, and acute health symptoms. Provincial PM₂.₅ concentrations were obtained from satellite-based monitoring data. Latent class analysis was used to identify protective behavioral phenotypes, and mixed-effects multivariable logistic regression models were applied to evaluate determinants of health symptoms.
Results: Mean monthly PM₂.₅ concentrations exceeded international guideline values throughout the study period. Respiratory symptoms were the most prevalent (80.7%), followed by eye (52.8%), dermatological (48.7%), and neurological symptoms (33.1%). Three behavioral phenotypes were identified: compliers (33.4%), non-compliers (48.6%), and a neutral group (18.0%). Higher PM₂.₅ exposure was independently associated with increased odds of respiratory and dermatological symptoms. Compared with compliers, non-compliers and neutral participants had significantly higher odds of respiratory and neurological symptoms. Female sex, younger age, comorbidity, alcohol consumption, urban or suburban residence, and lack of village health volunteer engagement were also associated with elevated symptom risk.
Conclusion: Higher ambient PM₂.₅ exposure, non-compliant protective behavioral phenotypes were associated with increased odds of acute health symptoms, highlighting persistent social inequalities in vulnerability to haze pollution. Equity-oriented public health strategies that strengthen community health resources, promote protective behaviors, and address educational disparities may help reduce unequal vulnerability to air pollution.
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BibTeX
@article{sittitoon2026health,
title = {{Health inequalities in PM₂.₅-related symptoms during Thailand’s haze season: the role of education, sociodemographic, lifestyle, protective behaviors, and environmental factors}},
author = {Nalin Sittitoon and Wuttipat Kiratipaisarl and Ratana Sapbamrer},
journal = {Frontiers in public health},
year = {2026},
month = oct,
doi = {10.3389/fpubh.2026.1899785},
url = {https://europepmc.org/article/PMC/PMC13668745},
note = {CC BY},
}
RIS
TY - JOUR
TI - Health inequalities in PM₂.₅-related symptoms during Thailand’s haze season: the role of education, sociodemographic, lifestyle, protective behaviors, and environmental factors
AU - Nalin Sittitoon
AU - Wuttipat Kiratipaisarl
AU - Ratana Sapbamrer
PY - 2026
DA - 2026/10/01
JO - Frontiers in public health
DO - 10.3389/fpubh.2026.1899785
UR - https://europepmc.org/article/PMC/PMC13668745
AB - Background: Seasonal haze pollution in Thailand exposes populations to recurrent fine particulate matter (PM₂.₅), yet its health impacts are unequally distributed, reflecting disparities in education, social vulnerability, and protective capacity. This study examined the associations of educational attainment, sociodemographic, lifestyle, protective behaviors, and environmental factors with acute health symptoms during the haze season. Methods: A nationwide cross-sectional study was conducted between January and April 2025 among 3,916 adults across Thailand. Data were collected through standardized interviews assessing sociodemographic characteristics, protective behaviors, and acute health symptoms. Provincial PM₂.₅ concentrations were obtained from satellite-based monitoring data. Latent class analysis was used to identify protective behavioral phenotypes, and mixed-effects multivariable logistic regression models were applied to evaluate determinants of health symptoms. Results: Mean monthly PM₂.₅ concentrations exceeded international guideline values throughout the study period. Respiratory symptoms were the most prevalent (80.7%), followed by eye (52.8%), dermatological (48.7%), and neurological symptoms (33.1%). Three behavioral phenotypes were identified: compliers (33.4%), non-compliers (48.6%), and a neutral group (18.0%). Higher PM₂.₅ exposure was independently associated with increased odds of respiratory and dermatological symptoms. Compared with compliers, non-compliers and neutral participants had significantly higher odds of respiratory and neurological symptoms. Female sex, younger age, comorbidity, alcohol consumption, urban or suburban residence, and lack of village health volunteer engagement were also associated with elevated symptom risk. Conclusion: Higher ambient PM₂.₅ exposure, non-compliant protective behavioral phenotypes were associated with increased odds of acute health symptoms, highlighting persistent social inequalities in vulnerability to haze pollution. Equity-oriented public health strategies that strengthen community health resources, promote protective behaviors, and address educational disparities may help reduce unequal vulnerability to air pollution.
SN - 2296-2565
ER -