Tingting Shi1, Min Min2, Pengpeng Ye3, Yuan Wang4, Guangbo Qu5, Yun Zhang6, Mingming Liang7, Yehuan Sun8, Leilei Duan9, Peng Bi10. 1. Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China. Electronic address: shitingting199205@163.com. 2. Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China. Electronic address: 419023179@qq.com. 3. Division of Injury Prevention and Mental Health, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Room 916, No. 27 Nanwei Road, Xicheng District, Beijing 100050, China. Electronic address: yepengpeng@ncncd.chinacdc.cn. 4. Division of Injury Prevention and Mental Health, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Room 916, No. 27 Nanwei Road, Xicheng District, Beijing 100050, China. Electronic address: wangyuan@ncncd.chinacdc.cn. 5. Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China. Electronic address: m17356519870@163.com. 6. Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China. Electronic address: 1476920440@qq.com. 7. Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China. Electronic address: 840541969@qq.com. 8. Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China; Center for Evidence-Based Practice, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China. Electronic address: yhsun_ahmu_edu@yeah.net. 9. Division of Injury Prevention and Mental Health, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Room 916, No. 27 Nanwei Road, Xicheng District, Beijing 100050, China. Electronic address: duanleilei@ncncd.chinacdc.cn. 10. School of Public Health, the University of Adelaide, Adelaide, SA 5005, Australia. Electronic address: peng.bi@adelaide.edu.au.
Abstract
PURPOSE: The association between meteorological variables and risk of fractures has attracted increasing attentions but remain controversial. Therefore, our main aim is to clarify the association, and also to identify possible susceptible groups. METHODS: Relevant literature was obtained through standard MeSH literature searching seven electronic databases. Because some studies expressed the association as the rate of incidence (IRR) of fractures associated with each 1 °C rise in temperature and 1% increase in relative humidity (RH), some expressed as IRR of fractures for the day with specific climatic variable versus control days, and also the association was expressed as correlations coefficients (COR) in some studies, separated meta-analyses were undertaken, with one based on IRR and another based on COR. RESULTS: A total of 24 studies were included. Results showed that each 1 °C increase was significantly associated with a 3.0% decrease in fracture risk (IRR = 0.970, 95%CI: 0.952-0.988). The day with freezing rain and snow were associated with increased risk for both the lower extremity fracture (freezing rain: IRR = 1.174, 95%CI: 1.022-1.348; snow: IRR = 1.245, 95%CI: 1.050-1.477) and the upper extremity fracture (freezing rain: IRR = 1.376, 95%CI: 1.192-1.588; snow: IRR = 1.548, 95%CI: 1.361-1.761). No significant association was detected between RH, dew, frost, fog, storm and high wind, and fracture. The COR meta-analysis showed that mean temperature (moderately), maximum temperature (moderately), rainfall (weakly) and sunlight duration (weakly) were correlated with fracture occurrence. CONCLUSION: The incidence of fractures was increased in lower temperature, the day with freezing rain, and snow. Other meteorological factors may have some effects on the incidence of fracture. The association maybe stronger for males, lower extremity fracture, and people living in Asia, subtropical zone, low-latitude, and northern hemisphere. Further studies are needed.
PURPOSE: The association between meteorological variables and risk of fractures has attracted increasing attentions but remain controversial. Therefore, our main aim is to clarify the association, and also to identify possible susceptible groups. METHODS: Relevant literature was obtained through standard MeSH literature searching seven electronic databases. Because some studies expressed the association as the rate of incidence (IRR) of fractures associated with each 1 °C rise in temperature and 1% increase in relative humidity (RH), some expressed as IRR of fractures for the day with specific climatic variable versus control days, and also the association was expressed as correlations coefficients (COR) in some studies, separated meta-analyses were undertaken, with one based on IRR and another based on COR. RESULTS: A total of 24 studies were included. Results showed that each 1 °C increase was significantly associated with a 3.0% decrease in fracture risk (IRR = 0.970, 95%CI: 0.952-0.988). The day with freezing rain and snow were associated with increased risk for both the lower extremity fracture (freezing rain: IRR = 1.174, 95%CI: 1.022-1.348; snow: IRR = 1.245, 95%CI: 1.050-1.477) and the upper extremity fracture (freezing rain: IRR = 1.376, 95%CI: 1.192-1.588; snow: IRR = 1.548, 95%CI: 1.361-1.761). No significant association was detected between RH, dew, frost, fog, storm and high wind, and fracture. The COR meta-analysis showed that mean temperature (moderately), maximum temperature (moderately), rainfall (weakly) and sunlight duration (weakly) were correlated with fracture occurrence. CONCLUSION: The incidence of fractures was increased in lower temperature, the day with freezing rain, and snow. Other meteorological factors may have some effects on the incidence of fracture. The association maybe stronger for males, lower extremity fracture, and people living in Asia, subtropical zone, low-latitude, and northern hemisphere. Further studies are needed.
Authors: Hong-Li Li; Bai-Yu Yang; Li-Jing Wang; Ke Liao; Nan Sun; Yong-Chao Liu; Ren-Feng Ma; Xiao-Dong Yang Journal: Environ Res Date: 2022-04-15 Impact factor: 8.431