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高频温度变化对慢性阻塞性肺疾病发病率的影响:来自中国南方广东省 21 个城市的证据。

Effects of high-frequency temperature variabilities on the morbidity of chronic obstructive pulmonary disease: Evidence in 21 cities of Guangdong, South China.

机构信息

School of Geography and Planning, Sun Yat-sen University, Guangzhou, China.

National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.

出版信息

Environ Res. 2021 Oct;201:111544. doi: 10.1016/j.envres.2021.111544. Epub 2021 Jun 23.

Abstract

BACKGROUND

While temperature changes have been confirmed as one of the contributory factors affecting human health, the association between high-frequency temperature variability (HFTV, i.e., temperature variation at short time scales such as 1, 2, and 5 days) and the hospitalization of chronic obstructive pulmonary disease (COPD) was rarely reported.

OBJECTIVES

To evaluate the associations between high-frequency temperature variabilities (i.e., at 1, 2, and 5-day scales) and daily COPD hospitalization.

METHODS

We collected daily records of COPD hospitalization and meteorological variables from 2013 to 2017 in 21 cities of Guangdong Province, South China. A quasi-Poisson regression with a distributed lag nonlinear model was first employed to quantify the effects of two HFTV measures, i.e., the day-to-day (DTD) temperature change and the intraday-interday temperature variability (IITV), on COPD morbidity for each city. Second, we used multivariate meta-analysis to pool the city-specific estimates, and stratified analyses were performed by age and sex to identify vulnerable groups. Then, the meta-regression with city-level characteristics was employed to detect the potential sources of the differences among 21 cities.

RESULTS

A monotonic increasing curve of the overall exposure-response association was observed, suggesting that positive HFTV (i.e., increased DTD and IITV) will significantly increase the risk of COPD admission. Negative DTD was associated with reduced COPD morbidity while positive DTD elevated the COPD risk. An interquartile range (IQR) increase in DTD was associated with a 24% (95% CI: 12-38%) increase in COPD admissions. An IQR increase in IITV was associated with 18% (95% CI: 7-27%) increase in COPD admissions. Males and people aged 0-64 years appeared to be more vulnerable to the DTD effect than others. Potential sources of the disparity among different cities include urbanization level, sex structure, industry structure, gross domestic product (GDP), health care services, and air quality.

CONCLUSIONS

The increases of DTD and IITV have significant adverse impacts on COPD hospitalization. As climate change intensifies, precautions need to be taken to mitigate the impacts of high-frequency temperature changes.

摘要

背景

虽然温度变化已被证实是影响人类健康的因素之一,但高频温度变化(即短时间尺度上的温度变化,如 1、2 和 5 天)与慢性阻塞性肺疾病(COPD)住院之间的关联却鲜有报道。

目的

评估高频温度变化(即 1、2 和 5 天尺度)与 COPD 每日住院之间的关系。

方法

我们收集了 2013 年至 2017 年期间华南广东省 21 个城市的 COPD 住院和气象变量的每日记录。首先采用分布滞后非线性模型的拟泊松回归来量化两种高频温度变化指标(即日变化和日内日间温度变异性)对每个城市 COPD 发病率的影响。其次,我们采用多元荟萃分析来汇总各城市的特定估计值,并按年龄和性别进行分层分析,以确定易受影响的人群。然后,采用城市水平特征的元回归来检测 21 个城市之间差异的潜在来源。

结果

观察到总体暴露反应关联的单调递增曲线,表明正高频温度变化(即增加日变化和日内日间温度变异性)将显著增加 COPD 入院的风险。负日变化与 COPD 发病率降低有关,而正日变化则会增加 COPD 的风险。日变化的四分位间距(IQR)增加与 COPD 入院率增加 24%(95%CI:12-38%)有关。IQR 增加与 COPD 入院率增加 18%(95%CI:7-27%)有关。男性和 0-64 岁的人群似乎比其他人更容易受到日变化的影响。不同城市之间差异的潜在来源包括城市化水平、性别结构、产业结构、国内生产总值(GDP)、医疗保健服务和空气质量。

结论

日变化和日内日间温度变异性的增加对 COPD 住院有显著的不利影响。随着气候变化的加剧,需要采取预防措施来减轻高频温度变化的影响。

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