摘要
目的分析北京市空气质量指数(AQI)对结核病发病的影响效应,为结核病的防控提供理论依据。方法采用广义可加模型(GAM)对北京市2014年1月1日至2016年11月9日的AQI与结核病发病例数进行回归分析,同时控制气象因素、时间趋势等混杂因素的影响。结果研究期间共收集北京市具有明确发病日期的结核病病例14533例,排除儿童36例,共14497例纳入研究。其中,男性9513例,女性4984例,成年人(15~59岁)11290例,老年人(≥60岁)3207例。GAM最佳单日滞后效应结果显示,AQI每增加10,总体、男性、女f生及成年人结核病发病例数增加百分比分别为0.85%(95%CI:0.26%~1.44%)、0.83%(95%CI:0.24%~1.42%)、0.93%(95%C,:0.24%~1.62%)及0.88%(95%CI:0.29%~1.46%)。单日效应的最佳滞后期除男性为16d(1agl6)以外其余均为15d(1agl5)。最佳累积滞后效应结果显示:AQI每增加10,总体、男性、女性及成年人结核病发病例数增加百分此分别为1.92%(95%CI:0.23%~3.16%)、1.94%(95%CI:0.15%~3.72%)、2.04%(95%CI:O.10%~3.97%)及2.00%(95%CI:0.30%~3.69%),累积效应的最佳滞后期分别为累积滞后17d(1ag0_17)、18d(1ag0_18)、16d(1ag0—16)和17d(1ag0_17)。AQI增加对老年人结核病发病例数影响无统计学意义。结论北京市AQI对结核病发病例数的影响存在正相关关系,AQI对不同性别和不同年龄组的结核病发病例数的影响存在一定差别。
Objective To analyze the effect of air quality index (AQI)on the incidence of tuberculosis (TB)in Beijing,and to provide evidence for setting up a better program regarding prevention and control of tuberculosis.Methods Generalized additive model (GAM)was used to analyze the association between AQI and the incidence of tuberculosis in Beijing,from January 1, 2014to November 9,2016.Confounding factors as meteorological conditions and time trends were under control.Results In Beijing,a total of 14533TB cases with definite dates of onset were collected during the study period,with 36children excluded from the study.Finally,14497cases were included in the study,including 9513men and 4984women,with 11290adults (15-59years old) and 3207elderly (≥60years old).Data from the optimal single-day lag effect of GAM showed that, with every 10increase of AQI,the percent of increase on the onsets of overall,male,female and adult;tuberculosis cases were 0.85%(95%CI:0.26%-1.44%),0.83%(95%CI:0.24%-1.42%),0.93%(95%CI: 0.24%-1.62%)and 0.88%(95%CI:0.29%-1.46%),respectively.The optimal lag time of the single- day effects were 15days (lagl5),but 16days (lagl6)for male.The optimal cumulative lag effect showed that with every 10AQI increase,the percent of increase on the onsets of overall,male,female and adult tuberculosis cases were 1.92%(95%CI:0.23%-3.16%),1.94%(95%CI:0.15%-3.72%),2.04% (95%CI:0.10%-3.97%)and 2.00%(95%CI:0.30%-3.69%),respectively,with the optimal lag time of cumulative delayed effects as 17days (lag017),18days (lag0_l 8),16days (lag0_16)and 17days (lag0 17),respectively.However,there were no statistical significances noticed in the elderly cases. Conclusion There was a positive correlation betweenAQI and the number of TB cases in Beijing,and the effects of AQI on the number of TB cases in different genders and age groups were different.
作者
刘梦阳
张英杰
马圆
李琪欢
刘悦
冯巍
王肖南
李卫民
郭秀花
Liu Mengyang;Zhang Yinjie;Ma Yuan;Li Qihuan;Liu Yue;Feng Wei;Wang Xiaonan;Li Weimin;Guo Xiuhua(Department of Epidemiology and Biostatistics,School of Public Health,Capital Medical University,Beijing Municipal Key Laboratory of Clinical Epidemiology,Bering 100069,China;Network and Information Security Office,Chinese Center for Disease Control and Prevention,Beijing 102206,China;National Tuberculosis Clinical Laboratory of China,Beijing Chest Hospital,Capital Medical University,Beijing 101149,China)
出处
《中华流行病学杂志》
CAS
CSCD
北大核心
2018年第12期1565-1569,共5页
Chinese Journal of Epidemiology
基金
北京市自然科学基金(Z160002).
关键词
结核病
空气质量指数
广义可加模型
Tuberculosis
Air quality index
Generalized additive model