Faculty Bibliography

OBJECTIVE:Obesity and depression frequently co-occur, and each increases risk for cardiovascular disease (CVD). This study tested whether a combined treatment, targeting obesity and depression simultaneously, would yield greater improvements in weight, mood, and CVD risk factors than treatments that targeted each disease individually. METHODS:Seventy-six participants with obesity and major depression were randomly assigned to (1) behavioral weight control (BWC), (2) cognitive behavioral therapy for depression (CBT-D), or (3) BWC combined with CBT-D. Participants were provided 18 group treatment sessions over 20 weeks. Mood, weight, and CVD risk were assessed at baseline and weeks 8 and 20, with a follow-up visit at week 46. RESULTS:At week 20, participants in combined treatment lost significantly (P < 0.02) more weight (5.2% ± 1.2%) than those assigned to CBT-D (0.8% ± 1.3%) and comparable amounts as those in BWC (3.5% ± 1.3%). Depression scores decreased significantly from baseline levels in each group, with no significant differences between groups. All three groups showed significant improvements in 10-year CVD risk, with no significant differences between groups. Groups did not differ significantly on any of these measures at week 46. CONCLUSIONS:BWC yielded short-term improvements in weight, mood, and CVD risk, comparable to a combined treatment that incorporated CBT-D. Results require replication with a larger sample size.

A mixed methods study was conducted to examine the implementation process of 26 urban school-based mental health clinics that took part in a training and implementation support program for an evidence-based school trauma intervention. Implementation process was observed using the Stages of Implementation Completion (SIC) measure. Qualitative interviews were conducted with clinic leaders in order to gain insight into clinic processes related to the SIC. Results showed that almost all of the clinics engaged in some activities related to pre-implementation (engagement, feasibility, and readiness), but only 31% of the sites formally started delivering the program to youth. Completing more pre-implementation activities, particularly those related to readiness, predicted program start-up. Qualitative analysis comparing those that implemented the program to those that did not revealed critical differences in decision-making processes, leadership strategies, and the presence of local champions for the program. This study documented the patterns of clinic behavior that occurs as part of large-scale training efforts, suggests some unique challenges that occur in schools, and highlights the importance of engaging in particular implementation activities (i.e., readiness planning, stakeholder consensus and planning meetings) as part of program start-up. Findings indicate that pre-implementation and readiness-related consultation should be employed as part of broad-scale implementation and training efforts.

BACKGROUND:There is substantial evidence that bipolar disorder (BD) manifests on a spectrum rather than as a categorical condition. Detection of people with subthreshold manifestations of BD is therefore important. The Hypomania Checklist-32 (HCL-32) was developed as a tool to identify such people. PURPOSE:The aims of this paper were to: (1) investigate the factor structure of HCL-32; (2) determine whether the HCL-32 can discriminate between mood disorder subtypes; and (3) assess the familial aggregation and cross-aggregation of hypomanic symptoms assessed on the HCL with BD. PROCEDURES:Ninety-six probands recruited from the community and 154 of their adult first-degree relatives completed the HCL-32. Diagnosis was based on semi-structured interviews and family history reports. Explanatory factor analysis and mixed effects linear regression models were used. FINDINGS:A four-factor ("Activity/Increased energy," "Distractibility/Irritability", "Novelty seeking/Disinhibition, "Substance use") solution fit the HCL-32, explaining 11.1% of the total variance. The Distractibility/Irritability score was elevated among those with BP-I and BP-II, compared to those with depression and no mood disorders. Higher HCL-32 scores were associated with increased risk of BD-I (OR = 1.22, 95%CI 1.14-1.30). The "Distractibility/Irritability" score was transmitted within families (β = 0.15, p = 0.040). However, there was no familial cross-aggregation between mood disorders and the 4 HCL factors. CONCLUSIONS:Our findings suggest that the HCL-32 discriminates the mood disorder subtypes, is familial and may provide a dimensional index of propensity to BD. Future studies should explore the heritability of symptoms, rather than focusing on diagnoses.

Acute agitation in children and adolescents in the emergency department carries significant risks to patients and staff and requires skillful management, using both nonpharmacologic and pharmacologic strategies. Effective management of agitation requires understanding and addressing the multifactorial cause of the agitation. Careful observation and multidisciplinary collaboration is important. Medical work-up of agitated patients is also critical. Nonpharmacologic deescalation strategies should be first line for preventing and managing agitation and should continue during and after medication administration. Choice of medication should focus on addressing the cause of the agitation and any underlying psychiatric syndromes.

Healthy parenting may be protective against the development of emotional psychopathology, particularly for children reared in stressful environments. Little is known, however, about the brain and behavioral mechanisms underlying this association, particularly during childhood and adolescence, when emotional disorders frequently emerge. Here, we demonstrate that psychological control, a parenting strategy known to limit socioemotional development in children, is associated with altered brain and behavioral responses to emotional conflict in 27 at-risk (urban, lower income) youth, ages 9-16. In particular, youth reporting higher parental psychological control demonstrated lower activity in the left anterior insula, a brain area involved in emotion conflict processing, and submitted faster but less accurate behavioral responses-possibly reflecting an avoidant pattern. Effects were not replicated for parental care, and did not generalize to an analogous nonemotional conflict task. We also find evidence that behavioral responses to emotional conflict bridge the previously reported link between parental overcontrol and anxiety in children. Effects of psychological control may reflect a parenting style that limits opportunities to practice self-regulation when faced with emotionally charged situations. Results support the notion that parenting strategies that facilitate appropriate amounts of socioemotional competence and autonomy in children may be protective against social and emotional difficulties.

BACKGROUND:Attention-deficit/hyperactivity disorder (ADHD) is proposed to be a neuropsychologically heterogeneous disorder that encompasses two distinct sub-groups, one with executive function (EF) deficits and one with delay aversion (DA). However, such claims have often been based on studies that have operationalized neuropsychological deficits using a categorical approach - using intuitive but rather arbitrary, clinical cut-offs. The current study applied an alternative empirical approach to sub-grouping in ADHD, latent profile analysis (LPA), and attempted to validate emerging subgroups through clinically relevant correlates. METHODS:One-hundred medication-naïve children with ADHD and 96 typically developing children (6-14 years) completed nine EF and three DA tasks as well as an odor identification test. Parents and teachers provided reports of the children's behavior (ADHD and EF). Models of the latent structure of scores on EF and DA tests were contrasted using confirmatory factor analysis (CFA). LPA was carried out based on factor scores from the CFA and sub-groups were compared in terms of odor identification and behavior. RESULTS:A model with one DA and two EF factors best fit the data. LPA resulted in four sub-groups that differed in terms of general level of neuropsychological performance (ranging from high to very low), odor identification, and behavior. The sub-groups did not differ in terms of the relative EF and DA performance. Results in the ADHD group were replicated in the control group. CONCLUSIONS:While EF and DA appear to be dissociable constructs; they do not yield distinct sub-groups when sub-grouping is based on a statistical approach such as LPA.