Next Article in Journal
Hazards Faced by Young Designated Drivers: In-Car Risks of Driving Drunken Passengers
Next Article in Special Issue
Peer Pressure, Psychological Distress and the Urge to Smoke
Previous Article in Journal
The Built Environment and Health: Introducing Individual Space-Time Behavior
Previous Article in Special Issue
Cigarettes Butts and the Case for an Environmental Policy on Hazardous Cigarette Waste
Open AccessArticle

Calibrating Self-Reported Measures of Maternal Smoking in Pregnancy via Bioassays Using a Monte Carlo Approach

Department of Health Studies, University of Chicago, USA
Department of Economics, University of Chicago, USA
Department of Health Sciences, University of York, UK
Departments of Medicine, Psychiatry and Biopharmaceutical Sciences, University of California, San Francisco, USA
Institute for Juvenile Research, Department of Psychiatry, University of Illinois at Chicago, Chicago, IL USA
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2009, 6(6), 1744-1759;
Received: 30 April 2009 / Accepted: 27 May 2009 / Published: 3 June 2009
(This article belongs to the Special Issue Smoking and Tobacco Control)
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. [1] 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. [1] 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 working-class 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. View Full-Text
Keywords: smoking; self-report; bioassay; calibration smoking; self-report; bioassay; calibration
MDPI and ACS Style

Dukic, V.M.; Niessner, M.; Pickett, K.E.; Benowitz, N.L.; Wakschlag, L.S. Calibrating Self-Reported Measures of Maternal Smoking in Pregnancy via Bioassays Using a Monte Carlo Approach. Int. J. Environ. Res. Public Health 2009, 6, 1744-1759.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

Only visits after 24 November 2015 are recorded.
Back to TopTop