Evidence mapPaperPMID 41087546Full record

ArticlePediatric research2026

Associations of meteorological factors and obesity on pediatric asthma hospitalization.

Xuan Ngoc Tran, Yueh-Lun Lee, Yuan-Chien Lin, Ta-Yuan Chang, Li-Te Chang, Kin-Fai Ho, Kai-Jen Chuang, Kian Fan Chung, Jer-Hwa Chang, Hsiao-Chi Chuang

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Article in Pediatric research, 2026. 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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10 authors.

Xuan Ngoc Tran *International Ph.D. Program in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Yueh-Lun Lee *Department of Microbiology and Immunology, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Yuan-Chien LinDepartment of Civil Engineering, National Central University, Taoyuan City, Taiwan.
Ta-Yuan ChangDepartment of Occupational Safety and Health, College of Public Health, China Medical University, Taichung, Taiwan.
Li-Te ChangDepartment of Environmental Engineering and Science, Feng Chia University, Taichung, Taiwan.
Kin-Fai HoThe Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Ma Liu Shui, Hong Kong.
Kai-Jen ChuangDepartment of Public Health, School of Medicine, Taipei Medical University, Taipei, Taiwan.
Kian Fan ChungNational Heart and Lung Institute, Imperial College London, London, UK.
Jer-Hwa ChangSchool of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan. 90224@w.tmu.edu.tw.
Hsiao-Chi ChuangSchool of Public Health, College of Public Health, Taipei Medical University, Taipei, Taiwan. chuanghc@tmu.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMeteorological factors and obesity are linked to pediatric asthma exacerbations, but it remains unclear whether overweight/ obese children are more vulnerable to these meteorological stressors. This study examined the associations of meteorological factors and obesity on pediatric asthma hospitalization.

methodsThis case-control study included 6956 pediatric asthma patients, with 1060 cases (at least one asthma-related hospitalization), and 5896 controls (no hospitalizations). Individual exposures to relative humidity (RH) and temperature were estimated using radial basis function interpolation at 1-day, 7-day, and 1-month intervals. Logistic regression models evaluated the associations between meteorological conditions and hospitalization, while also analyzing interactions with body weight (normal versus overweight/obese).

resultsA 1% increase in 1-month mean RH was associated with 8% decrease in the odds ratio (OR) for hospitalization (OR: 0.92, 95% CI: 0.87-0.99). Higher mean temperature, together with overweight/obesity, was associated with increased ORs for hospitalization: 42% (OR: 1.42, 95% CI: 1.04-1.93) over 1 day, 39% (OR: 1.39, 95% CI: 1.01-1.94) over 7 days, and 44% (OR: 1.44, 95% CI: 1.01-2.03) over 1 month.

conclusionHigher RH was protective against hospitalization, whereas elevated temperatures with overweight/obesity increased hospitalization. These findings indicate that meteorological conditions with body weight are important considerations in pediatric asthma management. IMPACT: Higher mean temperature, together with overweight or obesity, was associated with an increased odds ratio for hospitalization compared to the normal-weight group. It provides new evidence that asthmatic children with overweight or obesity are more susceptible to environmental stressors than normal-weight group. This study highlights the need to consider both body weight and meteorological factors, specifically temperature and humidity, in pediatric asthma management. Category of study: Clinical study.

Indexed as

AsthmaHospitalizationMeteorological ConceptsObesityPediatric ObesityAdolescentCase-Control StudiesChildChild, PreschoolFemaleHumansHumidityLogistic ModelsMaleOdds RatioRisk Factors

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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 Socratic graph.