Reducing risky behavior with habit reversal: A review of behavioral strategies to reduce habitual hand-to-head behavior

Habit reversal training (HRT) has been a mainstay of behavior analysts' repertoire for nearly the last 50 years. HRT has been effective in treating a host of repetitive behavior problems. In the face of the current coronavirus pandemic, HRT has practical public health importance as a possible intervention for reducing hand-to-head behaviors that increase the risk of viral infection. The current paper provides a brief review of HRT for hand-to-head habits that is designed for a broad audience and concludes with practical suggestions, based on HRT, for reducing face-touching behaviors.     

A Meta-Analysis of Program Characteristics for Youth with Disruptive Behavior Problems: The Moderating Role of Program Format and Youth Gender

There is high variability in efficacy for interventions for youth with disruptive behavior problems (DBP). Despite evidence of the unique correlates and critical consequences of girls’ DBP, there is a dearth of research examining treatment efficacy for girls. This meta-analysis of 167 unique effect sizes from 29 studies (28,483 youth, 50% female; median age: 14) suggests that existing treatments have a medium positive effect on DBP (g = .33). For both boys and girls, the most effective interventions included (a) multimodal or group format, (b) cognitive skills or family systems interventions, and (c) length-intensive programs for (d) younger children. Boys demonstrated significantly greater treatment gains from group format interventions compared to girls, which is particularly important given that the group program format was the most prevalent format for boys and girls, with 14 studies involving 10,433 youth encompassing this category. This is the first meta-analysis to examine the effect of program characteristics in a sample of programs selected to be specifically inclusive of girls. Given that girls are underrepresented in intervention research on DBP, findings are discussed in terms of gender-responsive considerations and elucidating how key aspects of program structure can support more effective intervention outcomes for youth.     

Predictors of Client Attrition in a University-Based Community Counseling Clinic

The purpose of this study was to investigate how symptom distress, social role, interpersonal relationships, gender, age, number of supports, and education level predict client attrition in a community sample. Using binary logistic regression and cross-sectional data, the authors examined the predictive impact of 8 variables on adult client attrition in a university-based community counseling clinic. Results indicated that education level, interpersonal relationships, and number of supports significantly predicted attrition. In this sample, gender, age, symptom distress, social role, and race did not significantly predict attrition. Implications for clinical assessment and counseling practice are discussed.