Fetal alcohol spectrum disorders prevalence in U.S. revealed by study

The study, "Prevalence and characteristics of fetal alcohol spectrum disorders," explored the incidence of fetal alcohol spectrum disorders (FASD) among first-grade students, or 6 to 7 year olds, in a representative Midwestern U.S. community, which was Sioux Falls. According to Hoyme, students were enrolled from all the elementary schools in Sioux Falls, both public and parochial. The study is the first school-based ascertainment study to be completed as a measure of FASD prevalence in American children.

FASD are a group of conditions that can occur in the children of mothers who drank alcohol during pregnancy. Characteristics are both physical and cognitive and can include abnormal facial features, smaller-than-average physical growth, poor coordination, learning disabilities and vision and hearing problems.

The research team gathered data on two groups of children related to physical growth, development, dysmorphology, cognition and behavior. The first group was made up of small children who were in the 25th percentile or less in height, weight and head circumference; the second group, or the control group, was randomly selected. The mothers of children from both groups were interviewed for maternal risk related to alcohol consumption while pregnant.

Around 2.4 percent to 4.8 percent of all the children studied were found to have some form of FASD based on cognitive and physical attributes. Furthermore, women who had affected children displayed higher levels of weekend binge drinking before discovering they were pregnant, sought prenatal care later and less frequently and noted the fathers of their children were frequent drinkers.

"Previous estimates of fetal alcohol spectrum disorders put the occurrence at around 1 percent in the United States," said Hoyme. "By actively assessing the children who were part of this study, our team was able to develop a more accurate figure for the prevalence of this disorder among the predominately middle class population of Sioux Falls and identify key risk factors that can predict it."