Chiu Hui-Fen, Weng Yi-Hao, Chiu Ya-Wen, Yang Chun-Yuh
a Department of Pharmacology , College of Medicine, Kaohsiung Medical University , Kaohsiung , Taiwan.
b Division of Neonatology, Department of Pediatrics , Chang Gung, Memorial Hospital, Chang Gung University College of Medicine , Taipei , Taiwan.
J Toxicol Environ Health A. 2017;80(5):251-257. doi: 10.1080/15287394.2017.1321092. Epub 2017 Jun 9.
This study was undertaken to determine whether there was a correlation between ambient ozone (O) levels and number of hospital admissions for myocardial infarction (MI) in Taipei, Taiwan. Hospital admissions for MI and ambient air pollution data for Taipei were obtained for the period from 2006 to 2010. The relative risk (RR) of hospital admissions for MI was estimated using a time-stratified case-crossover approach, controlling for weather variables, day of the week, seasonality, and long-term time trends. For the single-pollutant model (without adjustment for other pollutants), increased RR for a number of MI admissions was significantly associated with higher O levels both on warm days (>23°C) and on cool days (<23°C). This observation was accompanied by an interquartile range elevation correlated with a 7% (95% CI = 2%-12%) and 17% (95% CI = 11%-25%) rise in number of MI admissions, respectively. In the two-pollutant models, no significant associations between ambient O concentrations and number of MI admissions were observed on warm days. However, on cool days, correlation between ambient O after inclusion of each of the other five pollutants, particulate matter (PM or PM), sulfur dioxide (SO), nitrogen dioxide (NO) or carbon monoxide (CO), and number of MI admissions remained significant. This study provides evidence that higher levels of ambient O increase the RR of number of hospital admissions for MI.
本研究旨在确定台湾台北市环境臭氧(O)水平与心肌梗死(MI)住院人数之间是否存在相关性。获取了2006年至2010年期间台北市MI的住院人数及环境空气污染数据。采用时间分层病例交叉法估计MI住院的相对风险(RR),同时控制天气变量、星期几、季节性和长期时间趋势。在单污染物模型(不调整其他污染物)中,无论是温暖日(>23°C)还是凉爽日(<23°C),MI住院人数增加的RR均与较高的O水平显著相关。这一观察结果伴随着四分位距升高,分别与MI住院人数增加7%(95%CI = 2%-12%)和17%(95%CI = 11%-25%)相关。在双污染物模型中,温暖日未观察到环境O浓度与MI住院人数之间存在显著关联。然而,在凉爽日,在纳入其他五种污染物(颗粒物(PM或PM)、二氧化硫(SO)、二氧化氮(NO)或一氧化碳(CO))中的每一种后,环境O与MI住院人数之间的相关性仍然显著。本研究提供了证据,表明较高水平的环境O会增加MI住院人数的RR。