Estimating error in using residential outdoor PM2.5 concentrations as proxies for personal exposures: a meta-analysis.
Estimating error in using residential outdoor PM2.5 concentrations as proxies for personal exposures: a meta-analysis.
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DOI：
10.1289/ehp.0901158
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发表时间：
2010-05
影响因子：
10.4
通讯作者：
Whitsel EA
中科院分区：
文献类型：
--
作者：
Avery CL;Mills KT;Williams R;McGraw KA;Poole C;Smith RL;Whitsel EA
检查空气动力学直径≤ 2.5 μm 的颗粒物 (PM2.5) 对健康影响的研究通常使用在远端监测站点测量的环境 PM2.5 浓度作为个人暴露的替代值，并假设环境 PM2.5 的空间均匀性。在这种假设下，另一种替代指标——在参与者家庭附近测量的住宅室外 PM2.5 浓度——几乎没有什么优势。我们系统地审查了住宅室外 PM2.5 和个人 PM2.5 (r̄j) 之间的相关性，作为比较与其用作暴露替代值相关的测量误差的大小和来源的方法。我们检索了七个电子参考数据库，以研究参与者内住宅户外与个人 PM2.5 的相关性。该搜索确定了 567 项候选研究，其中 9 项重复摘要，均在 1996 年至 2008 年间发表。它们代表了美国 8 个城市的 329 名 6-93 岁不吸烟参与者，其中 r̄j 是根据每个参与者 7 个住宅户外-个人 PM2.5 对的中位数估算的（中位数，0.53；范围，0.25-0.79）。我们发现了适度的发表偏倚证据（对称漏斗图；pBegg = 0.4；pEgger = 0.2）；然而，我们发现了异质性的证据（Cochran 的 Q 检验 p = 0.05）。在检查的 20 个特征中，早期研究中点、东部经度、平均年龄较大、室外温度较高以及个人与住宅室外 PM2.5 差异较低，与参与者内部住宅室外 PM2.5 相关性增加相关。这些结果与同期荟萃分析的结果类似，该分析检查了环境与个人 PM2.5 的相关性（r̄j = 中位数，0.54；范围，0.09-0.83）。总的来说，荟萃分析表明，在评估 PM2.5 介导的健康影响研究中的潜在偏差时，应更多地考虑住宅室外与个人以及环境与个人 PM2.5 的相关性。
Studies examining the health effects of particulate matter ≤ 2.5 μm in aerodynamic diameter (PM2.5) commonly use ambient PM2.5 concentrations measured at distal monitoring sites as proxies for personal exposure and assume spatial homogeneity of ambient PM2.5. An alternative proxy—the residential outdoor PM2.5 concentration measured adjacent to participant homes—has few advantages under this assumption. We systematically reviewed the correlation between residential outdoor PM2.5 and personal PM2.5 (r̄j) as a means of comparing the magnitude and sources of measurement error associated with their use as exposure surrogates. We searched seven electronic reference databases for studies of the within-participant residential outdoor-personal PM2.5 correlation. The search identified 567 candidate studies, nine of which were abstracted in duplicate, that were published between 1996 and 2008. They represented 329 nonsmoking participants 6–93 years of age in eight U.S. cities, among whom r̄j was estimated (median, 0.53; range, 0.25–0.79) based on a median of seven residential outdoor-personal PM2.5 pairs per participant. We found modest evidence of publication bias (symmetric funnel plot; pBegg = 0.4; pEgger = 0.2); however, we identified evidence of heterogeneity (Cochran’s Q-test p = 0.05). Of the 20 characteristics examined, earlier study midpoints, eastern longitudes, older mean age, higher outdoor temperatures, and lower personal-residential outdoor PM2.5 differences were associated with increased within-participant residential outdoor-personal PM2.5 correlations. These findings were similar to those from a contemporaneous meta-analysis that examined ambient-personal PM2.5 correlations (r̄j = median, 0.54; range, 0.09–0.83). Collectively, the meta-analyses suggest that residential outdoor-personal and ambient-personal PM2.5 correlations merit greater consideration when evaluating the potential for bias in studies of PM2.5-mediated health effects.
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影响因子：
1.9
作者：
Duval, S;Tweedie, R
通讯作者：
Tweedie, R
DOI：
10.1080/15287390802445483
发表时间：
2009-01-01
影响因子：
2.6
作者：
Liao, Duanping;Whitsel, Eric A.;Anderson, Garnet
通讯作者：
Anderson, Garnet
影响因子：
7
作者：
Field, AP
通讯作者：
Field, AP
影响因子：
5
作者：
GREENLAND, S;ROBINS, JM
通讯作者：
ROBINS, JM
DOI：
10.1038/sj.jea.7500165
发表时间：
2001-05-01
期刊：
JOURNAL OF EXPOSURE ANALYSIS AND ENVIRONMENTAL EPIDEMIOLOGY
影响因子：
--
作者：
Klepeis, NE;Nelson, WC;Engelmann, WH
通讯作者：
Engelmann, WH