OBJECTIVE: To provide an analysis of multiple predictors of cognitive and behavioral traits for children with fetal alcohol spectrum disorders (FASDs). METHOD: Multivariate correlation techniques were used with maternal and child data from epidemiologic studies in a community in South Africa. Data on 561 first-grade children with fetal alcohol syndrome (FAS), partial FAS (PFAS), and not FASD and their mothers were analyzed by grouping 19 maternal variables into categories (physical, demographic, childbearing, and drinking) and used in structural equation models (SEMs) to assess correlates of child intelligence (verbal and nonverbal) and behavior. RESULTS: A first SEM using only 7 maternal alcohol use variables to predict cognitive/behavioral traits was statistically significant (B = 3.10, p < .05) but explained only 17.3% of the variance. The second model incorporated multiple maternal variables and was statistically significant explaining 55.3% of the variance. Significantly correlated with low intelligence and problem behavior were demographic (B = 3.83, p < .05) (low maternal education, low socioeconomic status [SES], and rural residence) and maternal physical characteristics (B = 2.70, p < .05) (short stature, small head circumference, and low weight). Childbearing history and alcohol use composites were not statistically significant in the final complex model and were overpowered by SES and maternal physical traits. CONCLUSIONS: Although other analytic techniques have amply demonstrated the negative effects of maternal drinking on intelligence and behavior, this highly controlled analysis of multiple maternal influences reveals that maternal demographics and physical traits make a significant enabling or disabling contribution to child functioning in FASD.
OBJECTIVE: To provide an analysis of multiple predictors of cognitive and behavioral traits for children with fetal alcohol spectrum disorders (FASDs). METHOD: Multivariate correlation techniques were used with maternal and child data from epidemiologic studies in a community in South Africa. Data on 561 first-grade children with fetal alcohol syndrome (FAS), partial FAS (PFAS), and not FASD and their mothers were analyzed by grouping 19 maternal variables into categories (physical, demographic, childbearing, and drinking) and used in structural equation models (SEMs) to assess correlates of child intelligence (verbal and nonverbal) and behavior. RESULTS: A first SEM using only 7 maternal alcohol use variables to predict cognitive/behavioral traits was statistically significant (B = 3.10, p < .05) but explained only 17.3% of the variance. The second model incorporated multiple maternal variables and was statistically significant explaining 55.3% of the variance. Significantly correlated with low intelligence and problem behavior were demographic (B = 3.83, p < .05) (low maternal education, low socioeconomic status [SES], and rural residence) and maternal physical characteristics (B = 2.70, p < .05) (short stature, small head circumference, and low weight). Childbearing history and alcohol use composites were not statistically significant in the final complex model and were overpowered by SES and maternal physical traits. CONCLUSIONS: Although other analytic techniques have amply demonstrated the negative effects of maternal drinking on intelligence and behavior, this highly controlled analysis of multiple maternal influences reveals that maternal demographics and physical traits make a significant enabling or disabling contribution to child functioning in FASD.
Authors: Philip A May; Barbara G Tabachnick; J Phillip Gossage; Wendy O Kalberg; Anna-Susan Marais; Luther K Robinson; Melanie Manning; David Buckley; H Eugene Hoyme Journal: Drug Alcohol Depend Date: 2011-06-11 Impact factor: 4.492
Authors: Philip A May; Daniela Fiorentino; Giovanna Coriale; Wendy O Kalberg; H Eugene Hoyme; Alfredo S Aragón; David Buckley; Chandra Stellavato; J Phillip Gossage; Luther K Robinson; Kenneth Lyons Jones; Melanie Manning; Mauro Ceccanti Journal: Int J Environ Res Public Health Date: 2011-06-22 Impact factor: 3.390
Authors: Philip A May; Kari J Hamrick; Karen D Corbin; Julie M Hasken; Anna-Susan Marais; Lesley E Brooke; Jason Blankenship; H Eugene Hoyme; J Phillip Gossage Journal: Reprod Toxicol Date: 2014-02-22 Impact factor: 3.143
Authors: Philip A May; Anna-Susan Marais; Marlene M de Vries; Wendy O Kalberg; David Buckley; Julie M Hasken; Colleen M Adnams; Ronel Barnard; Belinda Joubert; Marise Cloete; Barbara Tabachnick; Luther K Robinson; Melanie A Manning; Kenneth Lyons Jones; Heidre Bezuidenhout; Soraya Seedat; Charles D H Parry; H Eugene Hoyme Journal: Drug Alcohol Depend Date: 2016-10-06 Impact factor: 4.492
Authors: Philip A May; Amy Baete; Jaymi Russo; Amy J Elliott; Jason Blankenship; Wendy O Kalberg; David Buckley; Marita Brooks; Julie Hasken; Omar Abdul-Rahman; Margaret P Adam; Luther K Robinson; Melanie Manning; H Eugene Hoyme Journal: Pediatrics Date: 2014-11 Impact factor: 7.124
Authors: Shane M Huebner; Tuan D Tran; Echoleah S Rufer; Peter M Crump; Susan M Smith Journal: Alcohol Clin Exp Res Date: 2015-09-24 Impact factor: 3.455
Authors: Mauro Ceccanti; Daniela Fiorentino; Giovanna Coriale; Wendy O Kalberg; David Buckley; H Eugene Hoyme; J Phillip Gossage; Luther K Robinson; Melanie Manning; Marina Romeo; Julie M Hasken; Barbara Tabachnick; Jason Blankenship; Philip A May Journal: Drug Alcohol Depend Date: 2014-10-25 Impact factor: 4.492
Authors: Philip A May; Julie M Hasken; Jason Blankenship; Anna-Susan Marais; Belinda Joubert; Marise Cloete; Marlene M de Vries; Ronel Barnard; Isobel Botha; Sumien Roux; Cate Doms; J Phillip Gossage; Wendy O Kalberg; David Buckley; Luther K Robinson; Colleen M Adnams; Melanie A Manning; Charles D H Parry; H Eugene Hoyme; Barbara Tabachnick; Soraya Seedat Journal: Reprod Toxicol Date: 2016-05-10 Impact factor: 3.143
Authors: Philip A May; Marlene M de Vries; Anna-Susan Marais; Wendy O Kalberg; Colleen M Adnams; Julie M Hasken; Barbara Tabachnick; Luther K Robinson; Melanie A Manning; Kenneth Lyons Jones; Derek Hoyme; Soraya Seedat; Charles D H Parry; H Eugene Hoyme Journal: Drug Alcohol Depend Date: 2015-12-31 Impact factor: 4.492