Background Most gender-specific studies of the Alcohol Use Disorders Identification Test (AUDIT) have focused on gender differences in thresholds for hazardous drinking. This study examines gender differences in the factor structure of the AUDIT in general-population surveys. Methods General-population surveys from 15 countries provided 27,478 current drinkers’ responses to the AUDIT and related measures. We used single-group confirmatory factor analysis (CFA) to evaluate goodness-of-fit of three hypothesized models for responses to the AUDIT by men and women in each country. Bayesian Information Criteria (BIC) using a maximum likelihood robust (MLR) estimator was evaluated to identify the best fitted model. We then assessed factorial invariance within country surveys where fit indices were acceptable for both genders. Gender-specific internal consistency and concurrent validity were also evaluated in all 15 countries. Results: CFA revealed that the fit indices of 2-factor or 3-factor models were consistently better than fit indices for a 1-factor model in 14 of 15 countries. Comparisons of BIC values indicated that the 2-factor solution was the best fitted model. Factorial invariance tests in data from 3 countries indicated that the factor loadings and thresholds of the AUDIT were invariant across gender. The internal reliability and concurrent validity of AUDIT and its subscales were acceptable in both genders. Conclusions A two-factor model best describes AUDIT responses across general-population surveys in 12 of 15 countries, with acceptable internal reliability and concurrent validity, and supports a gender-invariant structure in at least three of those countries.

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To investigate familial influences on the full range of variability in attention and activity across adolescence, we collected maternal ratings of 339 twin pairs at ages 12, 14 and 16, and estimated the transmitted and new familial influences on attention and activity as measured by the Strengths and Weaknesses of ADHD Symptoms and Normal Behavior Scale (SWAN). Familial influences were substantial for both traits across adolescence: genetic influences accounted for 54–73% (attention) and 31–73% (activity) of the total variance, and shared environment accounted for 0–22% of the attention variance and 13–57% of the activity variance. The longitudinal stability of individual differences in attention and activity was largely accounted for by familial influences transmitted from previous ages. Innovations over adolescence were also partially attributable to familial influences. Studying the full range of variability in attention and activity may facilitate our understanding of ADHD’s etiology and intervention.

(BJOG. 2018;125(9):1077–1084) Approximately 10% of pregnant women use antidepressants during pregnancy. Evidence for the relationship between antidepressant use during pregnancy and the risk of attention-deficit/hyperactivity disorder (ADHD) in their offspring is conflicting. ADHD is heritable yet there are environmental factors that may be involved in the development of the disorder. This was a systematic literature review and meta-analysis to assess the association between fetal exposure to antidepressant drugs and the subsequent development of ADHD.

In this study, we used data from the North Dakota Medicaid claims database from 1998 through 2004 to estimate health care utilization rates and cost of care for children with pervasive developmental disorders. From the dataset, we developed a group comprised of children with pervasive developmental disorders (n = 546) and 2 comparison groups: children with other mental disorders (n = 18 363) and children who did not have pervasive developmental disorders or any mental disorders (n = 63 202). Participants with pervasive developmental disorders utilized 4.6% of all visits and 5% of the total cost of health care over the 7-year period. The average annual cost of care for children with pervasive developmental disorders was much higher than the cost for children without mental disorders for outpatient services ($5051 vs $360, ratio = 14:1), inpatient services ($1585 vs $458, ratio = 3.4:1), and pharmacy services ($1258 vs $82, ratio = 15:1). Children with pervasive developmental disorders covered by Medicaid have increased costs of health care.