Author:
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,Yao Wangxiang,Zhu Liulong
Abstract
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.
Funder
the Key Science and Technology Program of Xiaoshan
Publisher
Springer Science and Business Media LLC
Reference37 articles.
1. GBD 2019 Diseases and Injuries Collaborators. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the global burden of Disease Study 2019. Lancet (London, England). Oct. 2020;17(10258):1204–22. https://doi.org/10.1016/s0140-6736(20)30925-9.
2. Center for Health Statistics and Information the Ministry of Health of the People’s Republic of China. China health statistics annual 2022. http://www.nhc.gov.cn/mohwsbwstjxxzx/tjtjnj/202305/6ef68aac6bd14c1eb9375e01a0faa1fb.shtml (accessed May 17, 2023).
3. Chen W, Lv H, Liu S, et al. National incidence of traumatic fractures in China: a retrospective survey of 512 187 individuals. Lancet Glob Health. 2017;5(8):e807–17. https://doi.org/10.1016/S2214-109X(17)30222-X.
4. Zhang X, Yu Z, Yu M, et al. Alcohol consumption and hip fracture risk. Osteoporos Int. 2015;26(2):531–42. https://doi.org/10.1007/s00198-014-2879-y.
5. Li C, Jiang X, Yue Q, et al. Relationship between meteorological variations, seasonal influenza, and hip fractures in the elderly: a modelling investigation using 22-year data. Sci Total Environ. 2023;862:160764. https://doi.org/10.1016/j.scitotenv.2022.160764.