Estimating personal exposures from ambient air pollution measures: using meta-analysis to assess measurement error.
Estimating personal exposures from ambient air pollution measures: using meta-analysis to assess measurement error.
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DOI：
10.1097/ede.0000000000000006
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发表时间：
2014-01
期刊：
影响因子：
--
通讯作者：
Whitsel EA
中科院分区：
文献类型：
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作者：
Holliday KM;Avery CL;Poole C;McGraw K;Williams R;Liao D;Smith RL;Whitsel EA
虽然≤10μm的颗粒物（PM10）的环境浓度经常被用作个人总暴露量的替代指标，但环境和个人PM10浓度之间的相关性（r）各不相同。这种变化的因素及其对健康结果的影响-PM暴露关系仍然知之甚少。我们进行了一项随机效应荟萃分析，以估计研究、参与者和环境因素对r的影响;使用这些估计值来估算妇女健康倡议临床试验中4，012名非吸烟糖尿病参与者的环境PM10浓度的个人暴露;然后估计环境和估算的个人PM10浓度与心电图指标（如心率变异性）的相关性。我们确定了15项研究（1990-2009年），涉及5个国家的342名参与者。中位r为0.46（范围= 0.13 - 0.72）。漏斗图不对称的证据很少，但r的异质性很大，平均环境PM10浓度每增加10 μg/m3，r增加0.05（95%置信区间[CI]= 0.01至0.09）。用估算的个人暴露量替代环境PM10浓度，暴露量每增加10μg/m3，心电图测量值的平均百分比变化偏离了零值，并降低了其精度，例如，正常RR间期持续时间的标准差为−2.0%（95% CI= −4.6%至0.7%），而正常RR间期持续时间的标准差为−7.9%（−15.9%至0.9%）。类似的分布和异质性的r在现有的荟萃分析的环境和个人PM2.5浓度表明，观察到的平均百分比变化和精度下降的变化可能是概括整个颗粒大小。
Although ambient concentrations of particulate matter ≤10μm (PM10) are often used as proxies for total personal exposure, correlation (r) between ambient and personal PM10 concentrations varies. Factors underlying this variation and its effect on health outcome-PM exposure relationships remain poorly understood. We conducted a random-effects meta-analysis to estimate effects of study, participant and environmental factors on r; used the estimates to impute personal exposure from ambient PM10 concentrations among 4,012 non-smoking, diabetic participants in the Women’s Health Initiative clinical trial; and then estimated the associations of ambient and imputed personal PM10 concentrations with electrocardiographic measures such as heart rate variability. We identified fifteen studies (in years 1990-2009) of 342 participants in five countries. The median r was 0.46 (range = 0.13 to 0.72). There was little evidence of funnel-plot asymmetry but substantial heterogeneity of r, which increased 0.05 (95% confidence interval [CI]= 0.01 to 0.09) per 10 μg/m3 increase in mean ambient PM10 concentration. Substituting imputed personal exposure for ambient PM10 concentrations shifted mean percent changes in electrocardiographic measures per 10μg/m3 increase in exposure away from the null and decreased their precision, e.g. −2.0% (95% CI= −4.6% to 0.7%) versus −7.9% (−15.9% to 0.9%) for the standard deviation of normal-to-normal RR interval duration. Analogous distributions and heterogeneity of r in extant meta-analyses of ambient and personal PM2.5 concentrations suggest that observed shifts in mean percent change and decreases in precision may be generalizable across particle size.