Arena Vincent C, Mazumdar Sati, Zborowski Jeanne V, Talbott Evelyn O, He Shui, Chuang Ya-Hsiu, Schwerha Joseph J
Department of Biostatistics, University of Pittsburgh, Graduate School of Public Health, Pittsburgh, PA 15261, USA.
J Occup Environ Med. 2006 Jan;48(1):38-47. doi: 10.1097/01.jom.0000183096.20678.f1.
Air quality in Allegheny County, Pennsylvania, has improved over the last decade, and we investigated whether the lower concentrations of fine particulate matter (PM10) are still associated with adverse health outcomes.
Daily cardiopulmonary hospital admissions in elderly residents of Allegheny County and countywide average PM10 measures were available from 1995 through 2000. Using generalized additive models (GAM), a Poisson regression model was fit to the number of daily admissions using predictor variables: lags of PM10, daily temperature and humidity, day of the week, and time.
Our findings suggest that there is a positive association of PM10 with hospital admissions, and the effect is related to current-day PM10 levels.
Even at the lower levels of ambient air pollution as measured by PM10, there is still a suggestion of an adverse health effect in the elderly.
宾夕法尼亚州阿勒格尼县的空气质量在过去十年有所改善，我们调查了较低浓度的细颗粒物（PM10）是否仍与不良健康结果相关。
1995年至2000年期间可获取阿勒格尼县老年居民的每日心肺疾病住院人数以及全县范围内的PM10平均测量值。使用广义相加模型（GAM），采用预测变量（PM10的滞后值、每日温度和湿度、星期几以及时间）对每日住院人数拟合泊松回归模型。
我们的研究结果表明，PM10与住院人数呈正相关，且该效应与当日的PM10水平有关。
即使以PM10衡量的环境空气污染处于较低水平，对老年人仍有不良健康影响的迹象。
