Overcoming Barriers to Collaboration Between Basic Behavioral Scientists and Public Health Scientists in Research on Mental Disorders

The behavioral and public health sciences both have a long and rich history supporting basic, translational, and applied research aimed at improving human lives and reducing human suffering. Through the complementary expertise of these disciplines, investigators have contributed to significant, worldwide improvements in mental and physical health. Further gains can be achieved through collaborative research among scientists in these 2 fields. Unfortunately, there are a number of barriers to such collaboration originating in different intellectual traditions, research methods, and the structure and values of academia. We identify these barriers and potential strategies for overcoming them. Several areas for future collaborative research appear promising, especially comorbid mental and physical disorders, adherence to interventions, stigma, and emotional processes. Theory-guided preventive interventions may represent especially fertile areas of collaborative effort.     

The effect of gender, ethnicity, and income on college students' use of communication technologies

Because campus officials are relying on personal communication technologies to communicate with students, a question arises about access and usage. Although communication technologies are popular among college students, some evidence suggests that differences exist in ownership and use. We examined patterns of student ownership and use of cell phones and use of instant messaging, focusing on three predictors of digital inequality: gender, ethnicity, and income. Logistic and hierarchical linear regression analyses were used to analyze results from 4,491 students. The odds that female and white students owned cell phones were more than twice as high as for men and African-American students. Students in the $100,000-$149,000 per year income bracket were more than three times as likely to own a cell phone than those from the median bracket. However, being female, African-American, and/or from the highest income brackets was positively predictive of the number of text messages sent and the amount of time spent talking on a cell phone per week. We found no differences between students on the use of instant messaging. Implications of these results, as well as areas for further research, are provided.     

Does youth psychotherapy improve academically related outcomes? A meta-analysis

To better understand the impact of psychotherapy on youth academic performance, the authors located and examined 83 studies of youth psychotherapy that contained 102 treatment comparisons. Results revealed a d = 0.46 overall effect size, with a d = 0.50 effect size for mental health outcomes, and a d = 0.38 effect size for academically related outcomes. Academically related outcomes were further categorized into teacher-rated classroom behavior (d = 0.26), academic achievement (d = 0.36), environmentally related outcomes (d = 0.26), and self-reported academically related outcomes (d = 0.59). Each of these effect sizes differed significantly from zero, and the 4 academically related categories were homogeneous. Participant racial and ethnic diversity and age were explored as moderators. The results point to psychotherapy benefiting student academics, regardless of age. Ethnically diverse participant groups in the studies fared better academically than did nondiverse groups. Implications discussed include counseling psychologists maintaining a holistic view of youth and of working more closely with educators.     

Target-related autobiographical memories affect dietary intake intentions*

ABSTRACT

Although there is evidence that autobiographical memory (AM) recall impacts behaviour in multiple domains, the mechanisms for this effect are unclear. Two experiments examined how AM Frame and Relatedness to target behaviour affect intention to control future dietary intake. Participants completed an AM task where they recalled success or fail-framed memories of behaviour in the target domain (dietary intake), a related domain (exercise), and an unrelated domain (work). Next they completed questionnaires about attitudes, self-efficacy, and behavioural intention for controlling dietary intake. In Experiment 1, Frame and Relatedness of AMs recalled did not affect attitudes or self-efficacy ratings of controlling dietary intake. However, Related AMs resulted in higher intention ratings to control future dietary intake compared to Unrelated AMs. Experiment 2 replicated these results for attitude and self-efficacy, but showed no effect on behavioural intention. A mini-meta analysis was conducted to clarify the effect of AM recall on intention. This analysis confirmed a significant effect of AM Relatedness on intention ratings (meta-analysis Cohen’s d?=?.25, Z?=?2.54, p?=?.011). These results provide evidence that recalling related AM can affect dietary behaviour intentions directly, without changes attitudes or ratings of personal control regarding dietary intake.     

A meta-analysis of children’s self-reports of dietary intake

Objective: Although research studies increasingly use children as primary reporters in dietary assessments, it is unclear how well children’s self-reported intake correlates with independently validated reports of their intake; this meta-analysis assesses that correlation.

Design: Moderators of the correlation between self-reported and independently validated intake were predicted a priori: type of dietary intake assessment (24 h recall, food diary and food frequency questionnaires), validation measures, parental assistance and age. Online databases were searched for articles published from 1990 to 2014 that compared children’s self-reports of dietary intake to validated observations of food intake in children age 4–16.

Main outcome measures: Summary effect size Pearson r between children’s self-reported dietary intake and independently validated dietary intake were calculated.

Results: In k = 32 samples from 23 studies, a statistically significant correlation (r = .48, Z = 7.26, p < .001) was found between children’s self-reported dietary intake and independently validated reports of dietary intake. Validation method (Q = 17.49, df = 2, p < .001) and parental assistance (Z = 2.03, p = .042) were significant moderators of this correlation. Self-report methodology (Q = 3.95, df = 2, p = .139) and age (Q = .02, p = .879) were not significant moderators of the distribution of effect sizes.

Conclusion: Together, these results provide baseline information about children’s recall in dietary intake assessments conducted with children as primary reporters.     

Calibrating for Comorbidity: Clinical Decision-Making in Youth Depression and Anxiety

Comorbidity in clinical youth populations is more the rule than the exception, yet few established guidelines exist to help practicing clinicians manage complex diagnostic profiles. The current paper reviews efforts within the treatment development literature to handle comorbidity in depressed and anxious children and adolescents, including single-target, modular-based, and transdiagnostic interventions. Two case studies are presented to describe how comorbid anxiety and depression are managed within two different evidence-based single-target interventions. A third case is presented to introduce a novel individual behavioral activation therapy (IBAT) designed to address co-occurring depression and anxiety by targeting a single maintaining mechanism (avoidance) that underlies both disorders. Implications for clinical decision-making (assessing complex clinical profiles in practice, prioritizing treatment goals, selecting interventions from a broad evidence base) are discussed.