Evidence map›Paper›PMID 40817200›Full record

ArticleBMC public health2025

Ecological assessment of extreme temperature and fine particulate matter (pm2.5) impact on diabetes service and outcomes in Thailand.

Bumi Herman, Jason Kai Wei Lee, Xihao Du, Yot Terawattananon

Abstract read
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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Bumi HermanSchool of Global Health, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand. bumi.h@chula.ac.th.ORCID http://orcid.org/0000-0001-8206-6764
Jason Kai Wei LeeHeat Resilience and Performance Centre, Yong Loo Lin School of Medicine, National University of Singapore, Kent Ridge, Singapore.ORCID http://orcid.org/0000-0003-4042-795X
Xihao DuDepartment of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0000-0001-6060-3071
Yot TerawattananonHealth Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnvironmental changes, such as extreme heat and air pollution, are assumed to exacerbate chronic conditions like diabetes and increase demand for related health services. This study investigates how daily maximum temperature and air pollution affect diabetes service utilization in Thailand.

methodUsing ecological analysis, national diabetes service data from the Thai Ministry of Public Health and ERA5 LAND satellite data (from 2018 to 2023) were examined. The data included 2-meter ambient temperature and particulate matter (PM2.5) concentrations, adjusted for health system variables, aggregated risk factors, the COVID-19 outbreak response, and spatiotemporal correlations. A generalized additive mixed model (GAMM) was employed to assess the effects of maximum temperature and PM2.5 on diabetes screening and the proportion of patients with controlled blood glucose.

resultsThe analysis revealed an annual average maximum temperature of 38.6 °C and an average PM2.5 concentration of 21.6 µg/m³. National diabetes screening was 87% of the target, and only 30% of diagnosed patients achieved the recommended blood glucose levels. Maximum temperature was found to non-linearly reduce diabetes screening, particularly between 31.6 °C and 41.9 °C, while no significant association was observed with PM2.5 levels. Temperatures above 32.7 °C were associated with lower proportions of patients achieving recommended blood sugar levels, while lower annual PM2.5 levels (16.4 to 18.8 µg/m³) had similar benefits. CONCLUSION AND RECOMMENDATIONS: Extreme heat was associated with reduced diabetes screening, while PM2.5 showed no significant effect. These findings highlight the need to adapt health service delivery to reduce the impact of heat stress on service utilization. Strategies such as shifting screening services closer to communities, promoting telemedicine, and strengthening the role of primary care and village health volunteers may help maintain access to care during periods of extreme temperature.

Indexed as

Air PollutionDiabetes MellitusHot TemperatureParticulate MatterCOVID-19FemaleHumansMaleMiddle AgedThailandParticulate MatterAir pollutionBlood glucose controlClimate changeDiabetes screeningHealth systemMaximum temperatureThailand

Identifiers

PMID40817200
PMCPMC12355854

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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.