Calibrating self-reported measures of maternal smoking in pregnancy via bioassays using a Monte Carlo approach.
Calibrating self-reported measures of maternal smoking in pregnancy via bioassays using a Monte Carlo approach.
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DOI：
10.3390/ijerph6061744
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发表时间：
2009-06
影响因子：
--
通讯作者：
Wakschlag LS
中科院分区：
文献类型：
--
作者：
Dukic VM;Niessner M;Pickett KE;Benowitz NL;Wakschlag LS
母亲在怀孕期间吸烟是一个主要的公共卫生问题，与许多短期和长期的不良健康后果的后代。然而，准确地描述怀孕期间的吸烟暴露是相当困难的：自我报告的吸烟测量经常受到回忆偏差，故意误报和选择性不披露的影响，而尼古丁代谢物的单一生物测定测量只能反映最近的吸烟史，不能捕捉胎儿不同暴露的波动和复杂模式。最近，Dukic等人提出了一种统计方法，用于结合两种来源的信息，以提高暴露测量的精度和检测吸烟更微妙影响的能力。在本文中，我们扩展了Dukic等人的方法，将代谢参数（如清除率）的个体差异纳入妊娠期间吸烟暴露的校准模型。我们将新方法应用于家庭健康与发展项目（FHDP），一个小的方便的96个主要是工人阶级的白色孕妇吸烟过采样样本。我们发现，平均而言，误报者比他们报告的吸烟量多吸7.5支香烟，其中约三分之一少报1.5支，三分之一少报约6.5支，三分之一少报8.5支。部分由于FHDP样本中有限的人口异质性，结果与确定性校准模型获得的结果相似，其调整略低（平均0.5支香烟）。正如预期的那样，新的结果对可替宁半衰期的假设值不太敏感。
Maternal smoking during pregnancy is a major public health problem that has been associated with numerous short- and long-term adverse health outcomes in offspring. However, characterizing smoking exposure during pregnancy precisely has been rather difficult: self-reported measures of smoking often suffer from recall bias, deliberate misreporting, and selective non-disclosure, while single bioassay measures of nicotine metabolites only reflect recent smoking history and cannot capture the fluctuating and complex patterns of varying exposure of the fetus. Recently, Dukic et al. have proposed a statistical method for combining information from both sources in order to increase the precision of the exposure measurement and power to detect more subtle effects of smoking. In this paper, we extend the Dukic et al. method to incorporate individual variation of the metabolic parameters (such as clearance rates) into the calibration model of smoking exposure during pregnancy. We apply the new method to the Family Health and Development Project (FHDP), a small convenience sample of 96 predominantly workingclass white pregnant women oversampled for smoking. We find that, on average, misreporters smoke 7.5 cigarettes more than what they report to smoke, with about one third underreporting by 1.5, one third under-reporting by about 6.5, and one third underreporting by 8.5 cigarettes. Partly due to the limited demographic heterogeneity in the FHDP sample, the results are similar to those obtained by the deterministic calibration model, whose adjustments were slightly lower (by 0.5 cigarettes on average). The new results are also, as expected, less sensitive to assumed values of cotinine half-life.
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影响因子：
6.7
作者：
BENOWITZ, NL;JACOB, P
通讯作者：
JACOB, P
DOI：
10.1002/bms.1200200503
发表时间：
1991-05-01
期刊：
BIOLOGICAL MASS SPECTROMETRY
影响因子：
--
作者：
JACOB, P;YU, L;BENOWITZ, NL
通讯作者：
BENOWITZ, NL
影响因子：
7.2
作者：
Pickett, KE;Wakschlag, LS;Leventhal, BL
通讯作者：
Leventhal, BL
影响因子：
4.6
作者：
Wakschlag, Lauren S.;Leventhal, Bennett L.;Carter, Alice S.
通讯作者：
Carter, Alice S.
影响因子：
12.7
作者：
PEREZSTABLE, EJ;MARIN, BV;BENOWITZ, NL
通讯作者：
BENOWITZ, NL