Dimensional Latent Structure of Early Disruptive Behavior Disorders: A Taxometric Analysis in Preschoolers

Kliem S, Heinrichs N, Lohmann A, Bussing R, Schwarzer G, Briegel W. Dimensional Latent Structure of Early Disruptive Behavior Disorders: A Taxometric Analysis in Preschoolers. Journal of Abnormal Child Psychology. 2018;46(7):1385-1394.Although disruptive behavior disorders (DBDs) are used as a distinct categorical diagnosis in clinical practice, they have repeatedly been described as having a dimensional structure in taxometric analyses. In the current study the authors analyzed the latent status of disruptive behaviors (DB) in a large sample (N = 2,808) of German preschool children (2–6 years old, mean age 53.7 months, SD = 13.5, 48.4% girls). The Eyberg Child Behavior Inventory (ECBI) as well as the Strengths and Difficulties Questionnaire (SDQ) were used to compile indicators of the DB core dimensions (Temper Loss, Aggression, Noncompliance, and Low Concern for others). Three widely used taxometric methods (a) MAXEIG, (b) MAMBAC, and (c) L-Mode were applied. Simulation data were created to evaluate the Comparison Curve Fit Index values (CCFIs), which were below 0.45, supporting a dimensional solution. Hence, in the current study the latent structure of DB in preschoolers encompassed differences in degree rather than kind. Researchers and practitioners should be mindful of the dimensional latent status of DB in theory building, assessment, classification, and labeling

Barriers to Cervical Cancer Screening among Middle-Aged and Older Rural Appalachian Women

Although cervical cancer rates in the United States have declined sharply in recent decades, certain groups of women remain at elevated risk, including middle-aged and older women in central Appalachia. Cross-sectional baseline data from a community-based randomized controlled trial were examined to identify barriers to cervical cancer screening. Questionnaires assessing barriers were administered to 345 Appalachian women aged 40–64, years when Papanicolaou (Pap) testing declines and cervical cancer rates increase. Consistent with the PRECEDE/PROCEED framework, participants identified barriers included predisposing, enabling, and reinforcing factors. Descriptive and bivariate analyses are reported, identifying (a) the most frequently endorsed barriers to screening, and (b) significant associations of barriers with sociodemographic characteristics in the sample. Recommendations are provided to decrease these barriers and, ultimately, improve rates of Pap tests among this traditionally underserved and disproportionately affected group