Cheng Ming-Fen, Tsai Shang-Shyue, Wu Trong-Neng, Chen Pei-Shih, Yang Chun-Yuh
Institute of Occupational Safety and Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan.
J Toxicol Environ Health A. 2007 Dec;70(24):2021-6. doi: 10.1080/15287390701601020.
This study was undertaken to determine whether there was an association between air pollutant levels and hospital admissions for pneumonia in Kaohsiung, Taiwan. Hospital admissions for pneumonia and ambient air pollution data for Kaohsiung were obtained for the period of 1996-2004. The relative risk of hospital admission was estimated using a case-crossover approach, controlling for weather variables, day of the week, seasonality, and long-term time trends. In the single-pollutant models, on warm days (= 25 degrees C) statistically significant positive associations were found for all pollutants. On cool days (< 25 degrees C), all pollutants were also significantly associated with number of pneumonia admissions. For the two-pollutant model, O3 and CO were significant in combination with each of the other four pollutants on warm days. On cool days, PM10 and NO2 remained statistically significant in all the two-pollutant models. This study provides evidence that higher levels of ambient air pollutants increase the risk of hospital admissions for pneumonia. The effects of air pollutants on hospital admissions for pneumonia were temperature dependent.
本研究旨在确定台湾高雄市空气污染物水平与肺炎住院人数之间是否存在关联。获取了1996 - 2004年期间高雄市肺炎住院人数及环境空气污染数据。采用病例交叉法估计住院风险,并对天气变量、星期几、季节性和长期时间趋势进行了控制。在单污染物模型中,在温暖天气(=25摄氏度)下,所有污染物均发现有统计学意义的正相关。在凉爽天气(<25摄氏度)下,所有污染物也与肺炎住院人数显著相关。对于双污染物模型,在温暖天气下,臭氧(O3)和一氧化碳(CO)与其他四种污染物中的每一种结合时均具有显著意义。在凉爽天气下,在所有双污染物模型中,可吸入颗粒物(PM10)和二氧化氮(NO2)仍具有统计学意义。本研究提供了证据表明,较高水平的环境空气污染物会增加肺炎住院风险。空气污染物对肺炎住院人数的影响取决于温度。