International Journal of Environmental Research and Public Health | |
Calibrating Self-Reported Measures of Maternal Smoking in Pregnancy via Bioassays Using a Monte Carlo Approach | |
Vanja M. Dukic1  Marina Niessner4  Kate E. Pickett3  Neal L. Benowitz2  | |
[1] Department of Health Studies, University of Chicago, USA;Departments of Medicine, Psychiatry and Biopharmaceutical Sciences, University of California, San Francisco, USA; E-Mail:;Department of Health Sciences, University of York, UK; E-Mail:;Department of Economics, University of Chicago, USA; E-Mail: | |
关键词: smoking; self-report; bioassay; calibration; | |
DOI : 10.3390/ijerph6061744 | |
来源: mdpi | |
【 摘 要 】
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
【 授权许可】
CC BY
© 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.
【 预 览 】
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RO202003190056899ZK.pdf | 95KB | download |