The short-term association between asthma hospitalisations, ambient temperature, other meteorological factors and air pollutants in Hong Kong: a time-series study

The short-term association between asthma hospitalisations, ambient temperature, other meteorological factors and air pollutants in Hong Kong: a time-series study
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DOI:
10.1136/thoraxjnl-2015-208054
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发表时间:
2016-12-01
期刊:
影响因子:
10
通讯作者:
Goggins, William Bernard, III
Goggins, William Bernard, III
中科院分区:
医学1区
文献类型:
--
作者:
Lam, Holly Ching-Yu;Li, Albert Martin;Goggins, William Bernard, III

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背景以前的研究发现气象变量和哮喘住院之间的关联,但这些关联的性质各不相同,很少有研究在亚热带地区进行或评估年龄的影响修正。目的本研究旨在评估哮喘住院和气象因素之间的关联,并评估香港年龄和季节对这些关联的影响修正。使用相加模型结合分布滞后非线性模型和分段线性模型对2004 - 2011年每日哮喘住院与气象因素和空气污染物之间的关系进行建模,并对星期几、季节性和趋势进行调整。结果在炎热季节,27 ℃时住院率最低,30 ℃时达到峰值,然后在30 ℃和32 ℃之间趋于稳定。30 ℃与27 ℃下滞后0-3天(RRlag 0 -3)的累积相对风险为1.19(95%CI 1.06至1.34)。在寒冷季节,温度与哮喘住院率呈负相关。12 ℃与25 ℃的累积RRlag 0 -3为1.33(95% CI 1.13 - 1.58)。成年人入院对这两个季节的温度最敏感,而5岁以下儿童入院的相关性最小。较高的湿度和臭氧水平,在炎热的季节,低湿度在寒冷的季节也与更多的哮喘accounting.Conclusions哮喘患者应避免暴露于不利的条件下,限制户外活动期间的极端温度,高湿度和高温,低湿度和低温,高臭氧水平的组合。
Background Previous studies have found associations between meteorological variables and asthma hospitalisations but the nature of these associations has varied and few studies have been done in subtropical areas or evaluated effect modification by age.Objectives This study aimed to evaluate associations between asthma hospitalisations and meteorological factors and to assess effect modification of these associations by age and season in Hong Kong.Methods Poisson generalised additive models combined with distributed lag nonlinear models and piecewise linear models were used to model associations between daily asthma hospitalisations from 2004 to 2011 and meteorological factors and air pollutants, adjusting for day of week, seasonality and trend. Subgroup analyses by age and season were performed.Results In the hot season, hospitalisations were lowest at 27 degrees C, rose to a peak at 30 degrees C, then plateaued between 30 degrees C and 32 degrees C. The cumulative relative risk for lags 0-3 days ( RRlag0-3) for 30 degrees C vs 27 degrees C was 1.19 ( 95% CI 1.06 to 1.34). In the cold season, temperature was negatively associated with asthma hospitalisations. The cumulative RRlag0-3 for 12 degrees C vs 25 degrees C was 1.33 ( 95% CI 1.13 to 1.58). Adult admissions were most sensitive to temperatures in both seasons while admissions among children under 5 were least associated. Higher humidity and ozone levels in the hot season, and low humidity in the cold season were also associated with more asthma admissions.Conclusions People with asthma should avoid exposure to adverse conditions by limiting outdoor activities during periods of extreme temperatures, combinations of high humidity and high temperature, and low humidity and low temperature, and high ozone levels.