Epidemiology and biostatistics faculty publish article on exposure to environmental tobacco smoke
Researchers in the Department of Epidemiology and Biostatistics co-authored an article titled “Exposure to environmental tobacco smoke and risk of antenatal depression: application of latent variable modeling” in Archives of Women’s Mental Health.
Alfred Mbah, PhD, assistant professor of biostatistics, Hamisu Salihu, MD, PhD, professor of epidemiology, and Getachew A. Dagne, PhD, associate professor of biostatistics, are investigators in the USF College of Public Health. Their home department offers more than 10 concentrations that lead to MPH, MSPH, and PhD degrees, as well several dual degrees, graduate certificates, and special programs. Most recently, the college launched an online master of public health degree in epidemiology.
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Arch Womens Ment Health. 2013 Aug;16(4):293-302. doi: 10.1007/s00737-013-0347-x. Epub 2013 Apr 25.
Exposure to environmental tobacco smoke and risk of antenatal depression: application of latent variable modeling.
Department of Epidemiology and Biostatistics, College of Public Health, University of South Florida, Tampa, FL, USA.
This study sought to determine the impact of passive smoking on the risk for depressive symptoms during pregnancy. In this prospective study, 236 pregnant women were recruited at less than 20 weeks of gestation from a university-affiliated obstetric clinic from November 2009 through July 2011. Tobacco use/exposure was measured using questionnaire and confirmed by salivary cotinine analysis. The Edinburgh Perinatal Depression Scale (EPDS) was employed to capture perinatal depressive symptomatology. Traditionally, a cutoff of 13 is utilized to indicate depressive symptoms in the perinatal population. However, this approach is vulnerable to measurement errors that are inherent in assessing depression using cutoff points. Therefore, in this analysis, we apply a flexible approach (latent variable modeling) that accounts for measurement errors thereby reducing bias in the estimates of association. Significant differences were observed in the mean EPDS scores across non-smokers (mean ± SD = 4.8 ± 4.8), passive smokers (5.3 ± 5.5) and active smokers (7.4 ± 6.1) [p value = 0.02]. For each itemized response of the EPDS, passive smokers demonstrated an increased risk for depressive symptoms with the greatest risk exhibited by items 8 and 9 of the questionnaire (feeling sad or miserable and feeling unhappy [and]crying, respectively). In addition, for each item of the EPDS, a dose-response pattern was revealed with non-smokers having the least risk of depressive symptoms during pregnancy and active smokers having the greatest risk. Women who are exposed to secondhand smoke are at elevated risk for depressive symptoms during pregnancy.
[PubMed - in process]