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Relationship between temperature variability and daily hospitalisations in Hong Kong over two decades

BACKGROUND: Studies have highlighted the impacts of temperature variability (TV) on mortality from respiratory diseases and cardiovascular diseases, with inconsistent results specifically in subtropical urban areas than temperate ones. We aimed to fully determine TV-associated health risks over a sp...

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Detalles Bibliográficos
Autores principales: Li, Kehang, Wang, Yawen, Jiang, Xiaoting, Li, Conglu, Chen, Jinjian, Zeng, Yiqian, Zhao, Shi, Ho, Janice Ying-en, Ran, Jinjun, Han, Lefei, Wei, Yuchen, Yeoh, Eng Kiong, Chong, Ka Chun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Society of Global Health 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10569366/
https://www.ncbi.nlm.nih.gov/pubmed/37824178
http://dx.doi.org/10.7189/jogh.13.04122
Descripción
Sumario:BACKGROUND: Studies have highlighted the impacts of temperature variability (TV) on mortality from respiratory diseases and cardiovascular diseases, with inconsistent results specifically in subtropical urban areas than temperate ones. We aimed to fully determine TV-associated health risks over a spectrum of diseases and various subgroups in a subtropical setting. METHODS: Using inpatient data from all public hospitals in Hong Kong from 1999 to 2019, we examined the TV-hospitalisation associations by causes, ages, and seasons by fitting a quasi-Poisson regression. We presented the results as estimated percentage changes of hospitalisations per interquartile range (IQR) of TV. RESULTS: TVs in exposure days from 0-5 days (TV(0-5)) to 0-7 days (TV(0-7)) had detrimental effects on hospitalisation risks in Hong Kong. The overall population was significantly affected over TV(0-5) to TV(0-7) in endocrine, nutritional and metabolic (from 0.53% to 0.58%), respiratory system (from 0.38% to 0.53%), and circulatory systems diseases (from 0.47% to 0.56%). While we found no association with seasonal disparities, we did observe notable disparities by age, highlighting older adults’ vulnerability to TVs. For example, people aged ≥65 years experienced the highest change of 0.88% (95% CI = 0.34%, 1.41%) in hospitalizations for injury and poisoning per IQR increase in TV(0-4). CONCLUSIONS: Our population-based study highlighted that TV-related health burden, usually regarded as minimal compared to other environmental factors, should receive more attention and be addressed in future relevant health policies, especially for vulnerable populations during the cold seasons.