Department of Preventive Medicine, Shantou University Medical College, Shantou, China.
The Institute of Metabolic Diseases, Baoan Central Hospital of Shenzhen, the Fifth Affiliated Hospital of Shenzhen University, Shenzhen, China.
BMJ Open. 2019 Feb 15;9(2):e024708. doi: 10.1136/bmjopen-2018-024708.
To examine the total non-accidental mortality burden attributable to ambient temperatures and assess the effect modification of the burden by specific causes of death and individual characteristics in a high plateau area in southwest China.
Using daily mortality and meteorological data from 2009 to 2016, we applied a quasi-Poisson model combined with a distributed lag non-linear model to estimate the temperature-mortality association with the assessment of attributable fraction and number. We calculated attributable fractions and deaths with 95% empirical CIs (eCIs), that were due to cold and heat, defined as temperatures below and above the median temperature, and for mild and extreme temperatures, defined by cut-offs at the 2.5th and 97.5th temperature percentiles.
We analysed 89 467 non-accidental deaths; 4131 were attributable to overall temperatures, with an attributable fraction of 4.75% (95% eCI 2.33% to 6.79%). Most of the mortality burden was caused by cold (4.08%; 0.86% to 7.12%), whereas the burden due to heat was low and non-significant (0.67%; -2.44% to 3.64%). Extreme cold (1.17%; 0.58% to 1.69%) was responsible for 24.6% (ie, 1.17% divided by 4.75%) of the total death burden. In the stratification analyses, attributable risk due to cold was higher for cardiovascular than respiratory disease (6.18% vs 3.50%). We found a trend of risk of increased death due to ambient temperatures with increasing age, with attributable fractions of 1.83%, 2.27% and 6.87% for age ≤64, 65-74 and ≥75 years old, respectively. The cold-related burden was slightly greater for females, farmers, ethnic minorities and non-married individuals than their corresponding categories.
Most of the burden of death was attributable to cold, and specific causes and individual characteristics might modify the mortality burden attributable to ambient temperatures. The results may help make preventive measures to confront climate change for susceptible population in this region.
研究环境温度导致的非意外死亡总负担,并评估在中国西南部高海拔地区,特定死因和个体特征对这一负担的影响。
利用 2009 年至 2016 年的每日死亡率和气象数据,我们应用准泊松模型结合分布式滞后非线性模型来估计温度与死亡率之间的关联,并评估归因分数和归因死亡人数。我们计算了归因于寒冷和炎热天气的分数和死亡人数,寒冷和炎热天气定义为低于和高于中位数温度的温度,温和极端天气则通过第 2.5 和 97.5 个温度百分位数的截断值来定义。
我们分析了 89467 例非意外死亡;4131 例归因于整体温度,归因分数为 4.75%(95%置信区间 2.33%至 6.79%)。大部分死亡负担是由寒冷引起的(4.08%;0.86%至 7.12%),而由炎热引起的负担较低且无统计学意义(0.67%;-2.44%至 3.64%)。极寒(1.17%;0.58%至 1.69%)导致总死亡负担的 24.6%(即 1.17%除以 4.75%)。在分层分析中,寒冷引起的心血管疾病死亡率高于呼吸道疾病(6.18%比 3.50%)。我们发现,随着年龄的增长,环境温度导致死亡的风险呈上升趋势,年龄≤64 岁、65-74 岁和≥75 岁的归因分数分别为 1.83%、2.27%和 6.87%。女性、农民、少数民族和未婚者的寒冷相关负担略高于其相应类别。
大多数死亡负担归因于寒冷,特定死因和个体特征可能会改变与环境温度相关的死亡负担。研究结果可能有助于为该地区的易感人群制定应对气候变化的预防措施。