National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
National Climate Center, China Meteorological Administration, Beijing, China.
Environ Res. 2021 Jun;197:111023. doi: 10.1016/j.envres.2021.111023. Epub 2021 Mar 18.
Evidence is limited regarding the association between temperatures and health costs.
We tried to investigate the association between temperatures and emergency department visits (EDVs) costs in China.
Daily data on EDVs costs, weather, air pollution were collected from 17 sites in China during 2014-2018. A quasi-Poisson generalized additive regression with distributed lag nonlinear model was applied to assess the temperature-EDVs cost association. Random-effect meta-analysis was used to pool the estimates from each site. Attributable fractions and national attributable EDVs costs due to heat and cold were calculated.
Relative risk (RR) due to extreme heat over 0-7 lag days was 1.14 [95% confidence intervals (CI): 1.08-1.19] and 1.11 (95% CI: 1.07-1.16) for EDVs examination (including treatment) and medicine cost, respectively. People aged 18-44 and those with genitourinary diseases were at higher risk from heat. 0.72% of examination cost and 0.57% of medicine cost were attributed to extreme heat, costing 274 million Chinese Yuan annually. Moderate heat had lower RR but higher attributable fraction of EDVs costs. Exposure to extreme cold over 0-21 lag days increased the risk of medicine cost for people aged 18-44 [RR: 1.30 (95% CI: 1.10-1.55)] and those with respiratory diseases [RR: 1.56 (95% CI: 1.14-2.14)], but had non-statistically significant attributable fraction of the total EDVs cost.
Exposure to heat and cold resulted in remarkable health costs. More resources and preparedness are needed to tackle such a challenge as our climate is rapidly changing.
关于温度与健康成本之间的关系,证据有限。
我们试图研究中国温度与急诊科就诊费用(EDV)之间的关系。
本研究收集了 2014-2018 年期间中国 17 个地点的 EDV 费用、天气和空气污染的每日数据。采用具有分布滞后非线性模型的拟泊松广义加性回归模型来评估温度与 EDV 成本之间的关联。使用随机效应荟萃分析来汇总每个地点的估计值。计算了由于热和冷导致的归因分数和全国归因 EDV 费用。
在 0-7 滞后天期间,极端高温导致 EDV 检查(包括治疗)和药物费用的相对风险(RR)分别为 1.14(95%置信区间(CI):1.08-1.19)和 1.11(95% CI:1.07-1.16)。18-44 岁人群和泌尿生殖系统疾病患者面临更高的热风险。极端高温导致 0.72%的检查费用和 0.57%的药物费用归因于极端高温,每年造成 2.74 亿元人民币的损失。中度高温的 RR 较低,但 EDV 成本的归因分数较高。在 0-21 滞后天期间,极端寒冷暴露增加了 18-44 岁人群(RR:1.30(95% CI:1.10-1.55))和呼吸道疾病患者(RR:1.56(95% CI:1.14-2.14))的药物费用风险,但总 EDV 成本的归因分数没有统计学意义。
暴露于热和冷会导致显著的健康成本。随着我们的气候迅速变化,需要更多的资源和准备来应对这一挑战。