Abstract:Objective To evaluate the excess mortality risk related to heat wave in Ningbo, Zhejiang from 2013 to 2018, so as to provide a basis for formulating coping strategies for heat wave. Methods The data of daily mortality, meteorological and air quality from May to October in Ningbo from 2013 to 2018 were obtained from Ningbo Center for Disease Control and Prevention, Ningbo Meteorological Bureau and Environmental Monitoring Center of Ningbo, respectively. The generalized linear model ( GLM ) and distributed lag non-linear model ( DLNM ) were used to estimate the associations between heat wave and cause-specific mortality. Results Among 1 104 days of the study period, 18 heat waves occured and lasted for 132 days, accounting for 11.96%. A total of 102 954 deaths were reported in the same period. The risks of mortality in circulatory system diseases ( RR=1.09, 95%CI: 1.03-1.16 ), respiratory system diseases ( RR=1.14, 95%CI: 1.04-1.25 ), digestive system diseases ( RR=1.38, 95%CI: 1.15-1.65 ), nervous system diseases ( RR=1.32, 95%CI: 1.08-1.61 ), mental disorders ( RR=1.51, 95%CI: 1.12-2.03 ) and accidental injury ( RR=1.18, 95%CI: 1.06-1.32 ) and all causes ( RR=1.10, 95%CI: 1.06-1.14 ) increased at lag 0-1 day of heat wave. The total excess death related to heat wave was 1 218 ( 95%CI: 731-1 705 ) . The excess deaths of circulatory system diseases, respiratory system diseases, accidental injury, digestive system diseases, nervous system diseases, mental disorders, urinary system diseases and endocrine system diseases were 313 ( 95%CI: 104-556 ), 206 ( 95%CI: 59-368 ), 164 ( 95%CI: 55-292 ), 122 ( 95%CI: 48-208 ), 69 ( 95%CI: 17-131 ), 56 ( 95%CI: 13-113 ), 18 ( 95%CI: -15-64 ) and 3 ( 95%CI: -51-72 ). The excess deaths of urinary system and endocrine system diseases was not statistically significant ( P>0.05 ). Conclusion Heat wave can increase the mortality risk on the day and after a day in Ningbo from 2013 to 2018. Circulatory system diseases, respiratory system diseases and accidental injury rank top three in excess deaths.
谷少华, 金永高, 陆蓓蓓, 王爱红, 张丹丹. 2013—2018年宁波市高温热浪致超额死亡风险评价[J]. 预防医学, 2021, 33(9): 897-901,905.
GU Shaohua, JIN Yonggao, LU Beibei, WANG Aihong, ZHANG Dandan. Evaluation of excess mortality risk related to heat wave in Ningbofrom 2013 to 2018. Preventive Medicine, 2021, 33(9): 897-901,905.
[1] 张月,肖天贵,曾珏桃,等.1979—2019年我国西南地区高温热浪时空分布特征研究[J].自然科学,2020,8(4):207-219. [2] 张嘉仪,钱诚. 1960—2018年中国高温热浪的线性趋势分析方法与变化趋势[J].气候与环境研究,2020,25(3):225-239. [3] YIN P,CHEN R,WANG L,et al.The added effects of heatwaves on cause-specific mortality: a nationwide analysis in 272 Chinese cities[J]. Environ Int,2018,121(Pt 1):898-905. [4] HUANG C,CHENG J,PHUNG D,et al.Mortality burden attributable to heatwaves in Thailand:a systematic assessment incorporating evidence-based lag structure[J].Environ Int,2018,121(Pt 1):41-50. [5] MA W,ZENG W,ZHOU M,et al.The short-term effect of heat waves on mortality and its modifiers in China: an analysis from 66 communities[J].Environ Int,2015,75:103-109. [6] GU S,HUANG C,BAI L,et al.Heat-related illness in China,summer of 2013[J].Int J Biometeorol,2016,60(1):131-137. [7] GASPARRINI A,ARMSTRONG B,KOVATS S,et al.The effect of high temperatures on cause-specific mortality in England and Wales[J]. Occupat Environ Med,2012,69(1):56-61. [8] 中国气象局.高温热浪事件[EB/OL].[2021-04-23]. http://www.cma.gov.cn/2011xzt/2013zhuant/20130620/2013062002/201306/t20130621_217098.html. [9] GASPARRINI A,ARMSTRONG B,KENWARD M G.Distributed lag non-linear models[J].Stat Medicine,2010,29(21):2224-2234. [10] BHASKARAN K,GASPARRINI A,HAJAT S,et al.Time series regression studies in environmental epidemiology[J].Int J Epidemiol,2013,42(4):1187-1195. [11] GUO Y,GASPARRINI A,LI S,et al.Quantifying excess deaths related to heatwaves under climate change scenarios: a multicountry time series modelling study[J/OL].PLoS Med,2018,15(7)[2021-04-23]. https://doi.org/10.1371/journal.pmed.1002629. [12] SUN X,SUN Q,ZHOU X,et al.Heat wave impact on mortality in Pudong New Area, China in 2013[J].Sci Total Environ,2014,493:789-794. [13] 马盼,李若麟,乐满,等.气象环境要素对北京市消化系统疾病的影响[J].中国环境科学,2016,36(5):1589-1600. [14] ZHANG S,YANG Y,XIE X,et al.The effect of temperature on cause-specific mental disorders in three subtropical cities: a case-crossover study in China[J/OL].Environ Int,2020,143(105938)[2021-04-23].https://doi.org/10.1016/j.envint.2020.105938. [15] 杨军,谢宇平,周丽雅,等.5-羟色胺转运体基因多态性与睡眠障碍的相关性研究进展[J].精神医学杂志,2020,33(1):83-85. [16] GASPARRINI A,ARMSTRONG B.The impact of heat waves on mortality[J].Epidemiology,2011,22(1):68-73. [17] OTTE IM KAMPE E,KOVATS S,HAJAT S.Impact of high ambient temperature on unintentional injuries in high-income countries: a narrative systematic literature review[J/OL].BMJ Open,2016,6(2)[2021-04-23]. https://doi.org/10.1136/bmjopen-2015-010399. [18] 陆蓓蓓,朱银潮,谷少华,等.日均气温对居民溺水死亡的影响分析[J].预防医学,2018,30(10):1028-1030. [19] TASIAN G E,PULIDO J E,GASPARRINI A,et al.Daily mean temperature and clinical kidney stone presentation in five U.S. metropolitan areas: a time-series analysis[J].Environ Health Perspect,2014,122(10):1081-1087. [20] YANG J,YIN P,ZHOU M,et al.The effect of ambient temperature on diabetes mortality in China: a multi-city time series study[J].Sci Total Environ,2016,543(Pt A):75-82.