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吸烟和非吸烟住宅室内空气浓度的预测因子。

Predictors of indoor air concentrations in smoking and non-smoking residences.

机构信息

Health Canada, Ottawa, Ontario, Canada.

出版信息

Int J Environ Res Public Health. 2010 Aug;7(8):3080-99. doi: 10.3390/ijerph7083080. Epub 2010 Jul 4.

Abstract

Indoor concentrations of air pollutants (benzene, toluene, formaldehyde, acetaldehyde, acrolein, nitrogen dioxide, particulate matter, elemental carbon and ozone) were measured in residences in Regina, Saskatchewan, Canada. Data were collected in 106 homes in winter and 111 homes in summer of 2007, with 71 homes participating in both seasons. In addition, data for relative humidity, temperature, air exchange rates, housing characteristics and occupants' activities during sampling were collected. Multiple linear regression analysis was used to construct season-specific models for the air pollutants. Where smoking was a major contributor to indoor concentrations, separate models were constructed for all homes and for those homes with no cigarette smoke exposure. The housing characteristics and occupants' activities investigated in this study explained between 11% and 53% of the variability in indoor air pollutant concentrations, with ventilation, age of home and attached garage being important predictors for many pollutants.

摘要

在加拿大萨斯喀彻温省里贾纳的住宅内测量了空气污染物(苯、甲苯、甲醛、乙醛、丙烯醛、二氧化氮、颗粒物、元素碳和臭氧)的室内浓度。数据于 2007 年冬季和夏季在 106 户家庭和 111 户家庭中收集,其中 71 户家庭参与了两个季节的测量。此外,还收集了相对湿度、温度、空气交换率、住房特征和采样期间居住者活动的数据。使用多元线性回归分析为空气污染物构建了特定季节的模型。在吸烟是室内浓度主要贡献因素的情况下,为所有家庭和没有香烟烟雾暴露的家庭分别构建了单独的模型。本研究调查的住房特征和居住者活动解释了室内空气污染物浓度变化的 11%至 53%,通风、房屋年龄和附属车库是许多污染物的重要预测因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72d1/2954570/2268a405d486/ijerph-07-03080f1.jpg

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