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DOI10.1088/1748-9326/abb10c
Developing a novel indicator to estimate years of life lost attributable to temperature variability between neighboring days
Chen S.; Hu J.; Gong W.; Zhou M.; Yu M.; Zhou C.; Xiao Y.; Huang B.; Xu Y.; Liu T.; Xu X.; Lin L.; Hu R.; Hou Z.; Li J.; Jin D.; Qin M.; Zhao Q.; Yin P.; Xu Y.; Xiao J.; Zeng W.; Li X.; He G.; Guo L.; Zhang Y.; Huang C.; Ma W.
发表日期2020
ISSN17489318
卷号15期号:10
英文摘要The evidence is limited for the mortality burden of temperature variability between neighboring days. This study developed a novel indicator to measure temperature variability between neighboring days and quantify its mortality burden. Daily mortality and meteorological data during 2006–2017 from 364 locations across China were collected. We first employed a distributed lag non-linear model and multivariable meta-analysis to investigate the association between the diurnal temperature range (DTR) with the years of life lost (YLL) rate and the association between the nocturnal temperature range (NTR) with the YLL rate. Then, we calculated the weight temperature variability between neighboring days (weight-TVN) based on the attributable YLL rate of the DTR and NTR. The relationship between the weight-TVN and YLL rate was analyzed, and the attributable fraction (AF) of the YLL and weight-TVN related life loss per death was calculated to quantify the mortality burden. Stratified analyses were conducted by region, season, gender, age group and cause of death. The DTR-YLL rate curve and NTR-YLL rate curve were both J-shaped and a higher YLL rate attributable to DTR was observed than NTR. There was a significant association between the weight-TVN and YLL rate. An estimated AF of the weight-TVN was 6.02% (95%CI: 3.71%–8.33%). The average life loss per death due to weight-TVN was 0.93 year (95%CI: 0.57–1.29). Stratification analyses showed that the AFs of weight-TVN were relatively larger in southern China, in the cold season, in the elderly, females and patients with respiratory illnesses. Although the AF of weight-TVN among the young group (AF = 4.74%, 95%CI: 1.79%–7.69%) was lower than for the elderly (AF = 6.06%, 95%CI: 3.72%–8.41%), weight-TVN related life loss per death among the young population (1.51, 95%CI: 0.57–2.45) was much higher than in the elderly (0.59, 95%CI: 0.36–0.82). A novel indicator to measure temperature variability between neighboring days was developed, and temperature fluctuation between adjacent days significantly increased the mortality burden. Our results indicate that more attention should be paid to short-term temperature fluctuation. © 2020 The Author(s).
英文关键词Mortality burden; Temperature variability between neighboring days; Years of life lost
语种英语
scopus关键词Meteorology; Attributable fraction; Diurnal temperature ranges; Meteorological data; Nocturnal temperature; Respiratory illness; Stratified analysis; Temperature fluctuation; Temperature variability; Temperature distribution; age structure; diurnal variation; growth curve; high temperature; meta-analysis; mortality; seasonality; young population; China
来源期刊Environmental Research Letters
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/153630
作者单位Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, No. 160, Qunxian Road, Panyu District, Guangzhou, Guangdong, 511430, China; Zhejiang Center for Disease Control and Prevention, Hangzhou, Zhejiang, 310051, China; National Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, 100050, China; Department of Environment and Health, Hunan Provincial Center for Disease Control and Prevention, Changsha, 450001, China; Yunnan Center for Disease Control and Prevention, Kunming, 650022, China; Jilin Provincial Center for Disease Control and Prevention, Changchun, 130062, China; Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China; School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
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GB/T 7714
Chen S.,Hu J.,Gong W.,et al. Developing a novel indicator to estimate years of life lost attributable to temperature variability between neighboring days[J],2020,15(10).
APA Chen S..,Hu J..,Gong W..,Zhou M..,Yu M..,...&Ma W..(2020).Developing a novel indicator to estimate years of life lost attributable to temperature variability between neighboring days.Environmental Research Letters,15(10).
MLA Chen S.,et al."Developing a novel indicator to estimate years of life lost attributable to temperature variability between neighboring days".Environmental Research Letters 15.10(2020).
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