摘要
目的 探讨大气臭氧浓度(O_(3-8 h))对南京市居民肺癌死亡风险的影响及滞后效应。方法 收集南京市2013-2020年每日因肺癌死亡人数,收集大气污染物包括O_(3)的每日最大8 h浓度、细颗粒物(PM_(2.5))、可吸入颗粒物(PM_(10))、二氧化氮(NO_(2))、一氧化碳(CO)和二氧化硫(SO_(2))的日均质量浓度,以及日均气温、日均气压、日均风速等气象数据。采用时间序列分析方法,用泊松分布和广义相加模型相连接的方法,控制长期和季节变化趋势、气象因素和“星期几效应”的影响,定量分析大气O_(3-8 h)对人群肺癌死亡的影响及滞后效应,计算大气O_(3-8 h)浓度每升高10μg/m^(3)时肺癌每日死亡数增加的超额危险度(excess risk,ER)及95%CI。并对不同性别、年龄和文化程度居民的肺癌死亡效应影响进行分层分析。结果 2013-2020年南京市因肺癌累计死亡24 107例,平均每日死亡8例,男性占72.20%,女性占27.80%;大气O_(3-8 h)全年日均浓度中位数为92.11μg/m^(3),大气O_(3-8 h)与PM_(2.5)、NO_(2)、CO呈负相关(P<0.05)。在单污染物模型中,大气O_(3-8 h)浓度每升高10μg/m^(3),在滞后1 d(lag1)时对肺癌死亡风险影响最大,ER值为0.50%(95%CI:0.10%~0.90%),其他滞后天数及累积滞后效应均无统计学意义。在双污染物模型中,当纳入其他污染物(PM_(2.5)、NO_(2)、CO、SO_(2))时,大气O_(3-8 h)在lag1时对肺癌死亡的影响均有不同程度变化,仍有统计学意义(P<0.05)。随着大气O_(3-8 h)浓度每升高,≥60岁、文化程度较低居民肺癌死亡影响的超额风险分别增加0.54%(95%CI:0.10%~0.97%)和0.47%(95%CI:0.05%~0.88%),均有统计学意义(P<0.05)。结论 大气O_(3)污染是南京市肺癌死亡影响的独立危险因素,特别是≥60岁、低文化程度的居民肺癌每日死亡人数随大气O_(3-8 h)浓度的增加而呈上升趋势,需重点关注。
Objective To understand the effect of atmospheric ozone(O_(3-8 h)) on lung cancer mortality in Nanjing City and its lag effects. Methods The data from 2013 to 2020 on daily lung cancer deaths in Nanjing City were collected,along with daily maximum 8-hour concentrations of ozone and other pollutants(PM_(2.5),PM_(10),NO_(2),CO,SO_(2))and the meteorological data. Time series analysis methods were used,employing a combination of Poisson distribution and a generalized additive model to control for long-term and seasonal trends,meteorological factors and weekday effects. The excess risk(ER) of lung cancer mortality per10 μg/m~3 increase in atmospheric O3-8 hwas calculated,and stratified analysis was performed by age,gender and education.Results Over the study period,Nanjing City recorded 24 107 lung cancer deaths,averaging 8 daily deaths,with males accounting for 72.20%. The median daily concentration of atmospheric O_(3-8 h)was 92.11 μg/m~3. O_(3-8 h)was negatively correlated with PM_(2.5),NO_(2),and CO(P<0.05). In the single-pollutant model,the highest impact of atmospheric O_(3-8 h)concentration per 10μg/m~3 increase on lung cancer mortality was observed at lag 1 day,with an ER of 0.50%(95%CI:0.10%-0.90%). In the twopollutant model,when other pollutants(PM_(2.5),NO_(2),CO,and SO_(2)) were included,atmospheric O_(3-8 h)showed varying degrees of changes in lung cancer mortality(P<0.05). The excess risks of lung cancer mortality for the residents aged over 60 and those with lower educational levels increased by 0.54%(95%CI:0.10%-0.97%) and 0.47%(95%CI:0.05%-0.88%),respectively,with significant differences(P<0.05). Conclusion Atmospheric O_(3-8 h) pollution is an independent risk factor for lung cancer mortality in Nanjing City,especially among the old residents and those with lower education levels,requiring special attention.
作者
周海茸
王巍巍
俞浩
洪忻
ZHOU Hai-rong;WANG Wei-wei;YU Hao;HONG Xin(Department of Chronic and Non-communicable Disease Control and Prevention,Nanjing Municipal Center for Disease Contr and Prevention,Nanjing,Jiangsu 210003,China;不详)
出处
《环境与健康杂志》
CAS
2024年第6期495-498,共4页
Journal of Environment and Health
基金
南京市医学科技发展项目(YKK21175)。
关键词
肺癌
臭氧
广义相加模型
Lung cancer
Ambient ozone
Generalized additive models