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- Title
The impact of apparent temperature on the emergency visits for traumatic fractures in Hangzhou, China.
- Authors
Li, Feng; Liu, Xuejiao; Niu, Yanlin; Gao, Jinghong; Li, Maoqiang; Zhao, Yipin; Ji, Cheng; Pan, Guobiao; Zhao, Mingxing; Wu, Boliang; Tang, Xiaoxiang; Wu, Gang; Tian, Jun; Chen, Jianwei; Yan, Shiyu; Tan, Jianlu; Li, Yunqing; Zhao, Wentao; Li, Lingyun; Qiu, Yinmiao
- Abstract
Background: Traumatic fractures occur frequently worldwide. However, research remains limited on the association between short-term exposure to temperature and traumatic fractures. This study aims to explore the impact of apparent temperature (AT) on emergency visits (EVs) due to traumatic fractures. Methods: Based on EVs data for traumatic fractures and the contemporary meteorological data, a generalized Poisson regression model along with a distributed lag nonlinear model (DLNM) were undertaken to determine the impact of AT on traumatic fracture EVs. Subgroup analysis by gender and age and sensitivity analysis were also performed. Results: A total of 25,094 EVs for traumatic fractures were included in the study. We observed a wide "J"-shaped relationship between AT and risk of traumatic fractures, with AT above 9.5 °C positively associated with EVs due to traumatic fractures. The heat effects became significant at cumulative lag 0–11 days, and the relative risk (RR) for moderate heat (95th percentile, 35.7 °C) and extreme heat (99.5th percentile, 38.8 °C) effect was 1.311 (95% CI: 1.132–1.518) and 1.418 (95% CI: 1.191–1.688) at cumulative lag 0–14 days, respectively. The cold effects were consistently non-significant on single or cumulative lag days across 0–14 days. The heat effects were higher among male and those aged 18–65 years old. The sensitivity analysis results remained robust. Conclusion: Higher AT is associated with cumulative and delayed higher traumatic fracture EVs. The male and those aged 18–65 years are more susceptible to higher AT.
- Subjects
HANGZHOU (China); POISSON regression; SENSITIVITY analysis; TEMPERATURE; REGRESSION analysis
- Publication
BMC Public Health, 2024, Vol 24, Issue 1, p1
- ISSN
1471-2458
- Publication type
Article
- DOI
10.1186/s12889-024-19119-z