Maternal risk factors predicting child physical characteristics and dysmorphology in fetal alcohol syndrome and partial fetal alcohol syndrome
dc.contributor.author | May P.A. | |
dc.contributor.author | Tabachnick B.G. | |
dc.contributor.author | Gossage J.P. | |
dc.contributor.author | Kalberg W.O. | |
dc.contributor.author | Marais A.-S. | |
dc.contributor.author | Robinson L.K. | |
dc.contributor.author | Manning M. | |
dc.contributor.author | Buckley D. | |
dc.contributor.author | Hoyme H.E. | |
dc.date.accessioned | 2011-10-13T16:59:02Z | |
dc.date.available | 2011-10-13T16:59:02Z | |
dc.date.issued | 2011-10-13 | |
dc.description.abstract | Background: Previous research in South Africa revealed very high rates of fetal alcohol syndrome (FAS), of 46-89 per 1000 among young children. Maternal and child data from studies in this community summarize the multiple predictors of FAS and partial fetal alcohol syndrome (PFAS). Method: Sequential regression was employed to examine influences on child physical characteristics and dysmorphology from four categories of maternal traits: physical, demographic, childbearing, and drinking. Then, a structural equation model (SEM) was constructed to predict influences on child physical characteristics. Results: Individual sequential regressions revealed that maternal drinking measures were the most powerful predictors of a child's physical anomalies (R2 = .30, p < .001), followed by maternal demographics (R2 = .24, p < .001), maternal physical characteristics (R2 = .15, p < .001), and childbearing variables (R2 = .06, p < .001). The SEM utilized both individual variables and the four composite categories of maternal traits to predict a set of child physical characteristics, including a total dysmorphology score. As predicted, drinking behavior is a relatively strong predictor of child physical characteristics (β = 0.61, p < .001), even when all other maternal risk variables are included; higher levels of drinking predict child physical anomalies. Conclusions: Overall, the SEM model explains 62% of the variance in child physical anomalies. As expected, drinking variables explain the most variance. But this highly controlled estimation of multiple effects also reveals a significant contribution played by maternal demographics and, to a lesser degree, maternal physical and childbearing variables. © 2011. | |
dc.description.version | Article in Press | |
dc.identifier.citation | Drug and Alcohol Dependence | |
dc.identifier.citation | http://www.scopus.com/inward/record.url?eid=2-s2.0-79957880200&partnerID=40&md5=8259b632080a370d90c9ef9e3800d8fd | |
dc.identifier.issn | 3768716 | |
dc.identifier.other | 10.1016/j.drugalcdep.2011.05.009 | |
dc.identifier.uri | http://hdl.handle.net/10019.1/16957 | |
dc.subject | Dysmorphology | |
dc.subject | Fetal alcohol spectrum disorders (FASD) | |
dc.subject | Fetal alcohol syndrome (FAS) | |
dc.subject | Human malformations | |
dc.subject | Maternal risk factors | |
dc.subject | Partial fetal alcohol syndrome (PFAS) | |
dc.title | Maternal risk factors predicting child physical characteristics and dysmorphology in fetal alcohol syndrome and partial fetal alcohol syndrome | |
dc.type | Article in Press |