Ambient Temperature and Years of Life Lost:A National Study in China
作者机构:Guangdong Provincial Institute of Public HealthGuangdong Provincial Center for Disease Control and PreventionGuangzhou511430China Hunan Provincial Center for Disease Control and PreventionChangsha410005China Yunnan Center for Disease Control and PreventionKunming650022China Health Hazard Factors Control DepartmentJilin Provincial Center for Disease Control and PreventionChangchun130062China Guangdong Provincial Center for Disease Control and PreventionGuangzhou511430China The National Center for Chronic and Noncommunicable Disease Control and PreventionBeijing100050China Zhejiang Center for Disease Control and PreventionHangzhou310051China School of Public HealthSun Yat-sen UniversityGuangzhou510080China Guangdong Provincial Climate CenterGuangzhou510080China Department of Epidemiology and Preventive MedicineSchool of Public Health and Preventive MedicineMonash UniversityMelbourne3800Australia School of MedicineGriffith UniversityGold Coast4214Australia
出 版 物:《The Innovation》 (创新(英文))
年 卷 期:2021年第2卷第1期
页 面:3-10页
核心收录:
学科分类:08[工学] 080502[工学-材料学] 0805[工学-材料科学与工程(可授工学、理学学位)]
基 金:We thank Professor Antonio Gasparrini for providing assistance during statistical analysis.This work was supported by the National Key Research and Development Program of China(2018YFA0606200) Guangzhou Science and Technology Project(201704020194) and the Guangdong Health Innovation Platform.The funders were not involved in the research and preparation of the article,including study design collection,analysis,and interpretation of data writing of the article and the decision to submit it for publication
主 题:TEMPERATURE YEARS OF LIFE LOST MORTALITY BURDEN DISTRIBUTED LAG NONLINEAR MODEL MULTIVARIATE META-ANALYSIS CHINA
摘 要:Although numerous studies have investigated premature deaths attributable to temperature,effects of temperature on years of life lost(YLL)remain *** estimated the relationship between temperatures and YLL,and quantified the YLL per death caused by temperature in *** collected daily meteorological and mortality data,and calculated the daily YLL values for 364 locations(2013–2017 in Yunnan,Guangdong,Hunan,Zhejiang,and Jilin provinces,and 2006–2011 in other locations)in China.A time-series design with a distributed lag nonlinear model was first employed to estimate the location-specific associations between temperature and YLL rates(YLL/100,000 population),and a multivariate meta-analysis model was used to pool location-specific ***,YLL per death caused by temperatures was *** temperature and YLL rates consistently showed U-shaped associations.A mean of 1.02(95%confidence interval:0.67,1.37)YLL per death was attributable to *** temperature caused 0.98 YLL per death with most from moderate cold(0.84).The mean YLL per death was higher in those with cardiovascular diseases(1.14),males(1.15),younger age categories(1.31 in people aged 65–74 years),and in central China(1.34)than in those with respiratory diseases(0.47),females(0.87),older people(0.85 in people R75 years old),and northern China(0.64)or southern China(1.19).The mortality burden was modified by annual temperature and temperature variability,relative humidity,latitude,longitude,altitude,education attainment,and central heating *** caused substantial YLL per death in China,which was modified by demographic and regional characteristics.