单位：[1]School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Queensland, Australia[2]Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital National Clinical Research Center for Respiratory Diseases, Beijing, China[3]Center for Disease Surveillance of PLA, Institute of Disease Control and Prevention of PLA, Beijing, China[4]Shanghai Children's Medical Centre, Shanghai Jiao-Tong University, Shanghai, China[5]School of Public Health, Institute of Environment and Human Health, Anhui Medical University, Hefei, China[6]School of Public Health and Social Work, Queensland University of Technology, Queensland, Australia
Background: Non-optimal ambient temperature has detrimental impacts on mortality worldwide, but little is known about the difference in population vulnerability to non-optimal temperature and temperature-related morbidity burden between developing and developed countries. Objectives: We estimated and compared the associations of emergency department visits (EDV) with non-optimal temperature in terms of risk trigger temperature, the average slope of exposure-risk function and attributable risk in 12 cities from China and Australia. Methods: We modelled the associations of EDV with heat during warm season and with cold during cold season, separately, using generalized additive model. Population vulnerability within a given region was quantified with multiple risk trigger points including minimum risk temperature, increasing risk temperature and excessive risk temperature, and average coefficient of exposure-risk function. Fraction of EDV attributable to heat and cold was also calculated. Results: We found large between-and within-country contrasts in the identified multiple risk trigger temperatures, with higher heat and cold trigger points, except excessive risk temperature, observed in Australia than in China. Heat was associated with a relative risk (RR) of 1.009 [95% confidence interval (CI):1.007, 1.011] in China, which accounted for 5.9% of EDV. Higher RR of heat was observed in Australia (1.014, 95% CI: 1.010, 1.018), responsible for 4.0% of EDV. For cold effects, the RR was similar between two countries, but the attributable fraction was higher in China (9.6%) than in Australia (1.5%). Conclusions: Exposure to heat and cold had adverse but divergent impacts on EDV in China and Australia. Further mitigation policy efforts incorporating region-specific population vulnerability to temperature impacts are necessary in both countries.
基金：
China Scholarship Council Postgraduate ScholarshipChina Scholarship Council; Queensland University of Technology Higher Degree Research Tuition Fee Sponsorship
第一作者单位：[1]School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Queensland, Australia
共同第一作者：
通讯作者：
通讯机构：[4]Shanghai Children's Medical Centre, Shanghai Jiao-Tong University, Shanghai, China[5]School of Public Health, Institute of Environment and Human Health, Anhui Medical University, Hefei, China[6]School of Public Health and Social Work, Queensland University of Technology, Queensland, Australia[*1]Shanghai Children's Medical Centre, Shanghai Jiao-Tong University, Shanghai, China
推荐引用方式(GB/T 7714)：
Cheng Jian,Zhang Yongming,Zhang Wenyi,et al.Assessment of heat- and cold-related emergency department visits in cities of China and Australia: Population vulnerability and attributable burden[J].ENVIRONMENTAL RESEARCH.2018,166:610-619.doi:10.1016/j.envres.2018.06.026.
APA：
Cheng, Jian,Zhang, Yongming,Zhang, Wenyi,Xu, Zhiwei,Bambrick, Hilary...&Tong, Shilu.(2018).Assessment of heat- and cold-related emergency department visits in cities of China and Australia: Population vulnerability and attributable burden.ENVIRONMENTAL RESEARCH,166,
MLA：
Cheng, Jian,et al."Assessment of heat- and cold-related emergency department visits in cities of China and Australia: Population vulnerability and attributable burden".ENVIRONMENTAL RESEARCH 166.(2018):610-619
