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孕妇日常个人磁场暴露指标的时间变异性。

Temporal variability of daily personal magnetic field exposure metrics in pregnant women.

作者信息

Lewis Ryan C, Evenson Kelly R, Savitz David A, Meeker John D

机构信息

University of Michigan School of Public Health, Department of Environmental Health Sciences, Ann Arbor, Michigan, USA.

University of North Carolina Gillings School of Global Public Health, Department of Epidemiology, Chapel Hill, North Carolina, USA.

出版信息

J Expo Sci Environ Epidemiol. 2015 Jan;25(1):58-64. doi: 10.1038/jes.2014.18. Epub 2014 Apr 2.

Abstract

Recent epidemiology studies of power-frequency magnetic fields and reproductive health have characterized exposures using data collected from personal exposure monitors over a single day, possibly resulting in exposure misclassification due to temporal variability in daily personal magnetic field exposure metrics, but relevant data in adults are limited. We assessed the temporal variability of daily central tendency (time-weighted average, median) and peak (upper percentiles, maximum) personal magnetic field exposure metrics over 7 consecutive days in 100 pregnant women. When exposure was modeled as a continuous variable, central tendency metrics had substantial reliability, whereas peak metrics had fair (maximum) to moderate (upper percentiles) reliability. The predictive ability of a single-day metric to accurately classify participants into exposure categories based on a weeklong metric depended on the selected exposure threshold, with sensitivity decreasing with increasing exposure threshold. Consistent with the continuous measures analysis, sensitivity was higher for central tendency metrics than for peak metrics. If there is interest in peak metrics, more than 1 day of measurement is needed over the window of disease susceptibility to minimize measurement error, but 1 day may be sufficient for central tendency metrics.

摘要

近期关于工频磁场与生殖健康的流行病学研究,利用个人暴露监测仪在一天内收集的数据来描述暴露情况,由于日常个人磁场暴露指标存在时间变异性,这可能导致暴露分类错误,而成年人的相关数据有限。我们评估了100名孕妇连续7天日常集中趋势(时间加权平均值、中位数)和峰值(百分位数上限、最大值)个人磁场暴露指标的时间变异性。当将暴露建模为连续变量时,集中趋势指标具有较高的可靠性,而峰值指标的可靠性为中等(百分位数上限)到一般(最大值)。基于一周的指标,单日指标将参与者准确分类到暴露类别的预测能力取决于所选的暴露阈值,随着暴露阈值的增加,敏感性降低。与连续测量分析一致,集中趋势指标的敏感性高于峰值指标。如果关注峰值指标,在疾病易感性窗口期需要超过1天的测量以尽量减少测量误差,但对于集中趋势指标,1天可能就足够了。

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