Faculty Bibliography

Low-income families are more likely to have a child with an early-onset Behavior Disorder (BD); yet, socioeconomic strain challenges engagement in Behavioral Parent Training (BPT). This study follows a promising pilot to further examine the potential to cost-effectively improve low-income families' engagement in and the efficiency of BPT. Low-income families were randomized to (a) Helping the Noncompliant Child (HNC; McMahon & Forehand, 2003), a weekly, mastery-based BPT program that includes both the parent and child or (b) Technology-Enhanced HNC (TE-HNC), which includes all of the standard HNC components plus a parent mobile application and therapist web portal that provide between-session monitoring, modeling, and coaching of parent skill use with the goal of improved engagement in the context of financial strain. Relative to HNC, TE-HNC families had greater homework compliance and mid-week call participation. TE-HNC completers also required fewer weeks to achieve skill mastery and, in turn, to complete treatment than those in HNC without compromising parent satisfaction with treatment; yet, session attendance and completion were not different between groups. Future directions and clinical implications are discussed.

AIMS/OBJECTIVE:To assess the intervention effects of BREATHE (BRief intervention to Evaluate Asthma THErapy), a novel brief shared decision-making intervention and evaluate feasibility and acceptability of intervention procedures. DESIGN/METHODS:Group-randomized longitudinal pilot study. METHODS:In total, 80 adults with uncontrolled persistent asthma participated in a trial comparing BREATHE (N = 40) to a dose-matched attention control intervention (N = 40). BREATHE is a one-time shared decision-making intervention delivered by clinicians during routine office visits. Ten clinicians were randomized and trained on BREATHE or the control condition. Participants were followed monthly for 3 months post-intervention. Data were collected from December 2017 - May 2019 and included surveys, lung function tests, and interviews. RESULTS:Participants were Black/multiracial (100%) mostly female (83%) adults (mean age 45). BREATHE clinicians delivered BREATHE to all 40 participants with fidelity based on expert review of audiorecordings. While the control group reported improvements in asthma control at 1-month and 3-month follow-up, only BREATHE participants had better asthma control at each timepoint (β = 0.77; standard error (SE)[0.17]; p ≤ 0.0001; β = 0.71; SE[0.16]; p ≤ 0.0001; β = 0.54; SE[0.15]; p = .0004), exceeding the minimally important difference. BREATHE participants also perceived greater shared decision-making occurred during the intervention visit (β = 7.39; SE[3.51]; p = .03) and fewer symptoms at follow-up (e.g., fewer nights woken, less shortness of breath and less severity of symptoms) than the controls. Both groups reported improved adherence and fewer erroneous medication beliefs. CONCLUSION/CONCLUSIONS:BREATHE is a promising brief tailored intervention that can be integrated into office visits using clinicians as interventionists. Thus, BREATHE offers a pragmatic approach to improving asthma outcomes and shared decision-making in a health disparity population. IMPACT/CONCLUSIONS:The study addressed the important problem of uncontrolled asthma in a high-risk vulnerable population. Compared with the dose-matched attention control condition, participants receiving the novel brief tailored shared decision-making intervention had significant improvements in asthma outcomes and greater perceived engagement in shared decision-making. Brief interventions integrated into office visits and delivered by clinicians may offer a pragmatic approach to narrowing health disparity gaps. Future studies where other team members (e.g., office nurses, social workers) are trained in shared decision-making may address important implementation science challenges as it relates to adoption, maintenance, and dissemination. TRAIL REGISTRATION: clinicaltrials.gov # NCT03300752.

How do valenced odors affect the perception and evaluation of facial expressions? We reviewed 25 studies published from 1989 to 2020 on cross-modal behavioral effects of odors on the perception of faces. The results indicate that odors may influence facial evaluations and classifications in several ways. Faces are rated as more arousing during simultaneous odor exposure, and the rated valence of faces is affected in the direction of the odor valence. For facial classification tasks, in general, valenced odors, whether pleasant or unpleasant, decrease facial emotion classification speed. The evidence for valence congruency effects was inconsistent. Some studies found that exposure to a valenced odor facilitates the processing of a similarly valenced facial expression. The results for facial evaluation were mirrored in classical conditioning studies, as faces conditioned with valenced odors were rated in the direction of the odor valence. However, the evidence of odor effects was inconsistent when the task was to classify faces. Furthermore, using a z-curve analysis, we found clear evidence for publication bias. Our recommendations for future research include greater consideration of individual differences in sensation and cognition, individual differences (e.g., differences in odor sensitivity related to age, gender, or culture), establishing standardized experimental assessments and stimuli, larger study samples, and embracing open research practices.

The intraclass correlation coefficient (ICC) is a classical index of measurement reliability. With the advent of new and complex types of data for which the ICC is not defined, there is a need for new ways to assess reliability. To meet this need, we propose a new distance-based ICC (dbICC), defined in terms of arbitrary distances among observations. We introduce a bias correction to improve the coverage of bootstrap confidence intervals for the dbICC, and demonstrate its efficacy via simulation. We illustrate the proposed method by analyzing the test-retest reliability of brain connectivity matrices derived from a set of repeated functional magnetic resonance imaging scans. The Spearman-Brown formula, which shows how more intensive measurement increases reliability, is extended to encompass the dbICC.

BACKGROUND:The objective of this study is to gain new insights into the relationship between clinical signs and age at diagnosis. METHOD:We utilize a new, large, online survey of 1743 parents of children diagnosed with ASD, and use multiple statistical approaches. These include regression analysis, factor analysis, and machine learning (regression tree). RESULTS:We find that clinical signs that most strongly predict early diagnosis are not necessarily specific to autism, but rather those that initiate the process that eventually leads to an ASD diagnosis. Given the high correlations between symptoms, only a few signs are found to be important in predicting early diagnosis. For several clinical signs we find that their presence and intensity are positively correlated with delayed diagnosis (e.g., tantrums and aggression). Even though our data are drawn from parents' retrospective accounts, we provide evidence that parental recall bias and/or hindsight bias did not play a significant role in shaping our results. CONCLUSION:In the subset of children without early deficits in communication, diagnosis is delayed, and this might be improved if more attention will be given to clinical signs that are not necessarily considered as ASD symptoms. Our findings also suggest that careful attention should be paid to children showing excessive tantrums or aggression, as these behaviors may interfere with an early ASD diagnoses.

During mammalian evolution, primate neocortex expanded, shifting hippocampal functional networks away from primary sensory cortices, towards association cortices. Reflecting this rerouting, human resting hippocampal functional networks preferentially include higher association cortices, while those in rodents retained primary sensory cortices. Research on human visual, auditory and somatosensory systems shows evidence of this rerouting. Olfaction, however, is unique among sensory systems in its relative structural conservation throughout mammalian evolution, and it is unknown whether human primary olfactory cortex was subject to the same rerouting. We combined functional neuroimaging and intracranial electrophysiology to directly compare hippocampal functional networks across human sensory systems. We show that human primary olfactory cortex-including the anterior olfactory nucleus, olfactory tubercle and piriform cortex-has stronger functional connectivity with hippocampal networks at rest, compared to other sensory systems. This suggests that unlike other sensory systems, olfactory-hippocampal connectivity may have been retained in mammalian evolution. We further show that olfactory-hippocampal connectivity oscillates with nasal breathing. Our findings suggest olfaction might provide insight into how memory and cognition depend on hippocampal interactions.

OBJECTIVES/UNASSIGNED:The global crisis of COVID-19 and its consequential strict public health measures placed around the world have impacted mental health. New scales and tools have been developed to measure these mental health effects. This narrative review assesses the psychometric properties of these scales and tools and methodological aspects of their development. METHODS/UNASSIGNED:PubMed, PubMed Central, and Google Scholar were searched for articles published from 15 May 2020 to 15 August 2020. This search used three groups of terms ("tool" OR "scale" AND "mental" OR "psychological"; AND "COVID-19" OR "coronavirus"). The identified scales were further evaluated for their psychometric properties and methodological aspects of their development. RESULTS/UNASSIGNED:= 12) have demonstrated their robust psychometric properties, some methodological concerns are noteworthy. Most of the scales were validated using internet-based surveys, and detailed descriptions of the mode of administration, sampling process, response rates, and augmentation strategies were missing. CONCLUSIONS/UNASSIGNED:The heterogeneous and inadequate reporting of methods adopted to evaluate the psychometric properties of the identified scales can limit their utility in clinical and research settings. We suggest developing guidelines and checklists to improve the design and testing, and result in reporting of online-administered scales to assess the mental health effects of the COVID-19 pandemic.

Childhood and adolescence psychiatric disorders affect subsequent stages; early diagnosis of these disorders, such as attention-deficit/hyperactivity disorder (ADHD), is necessary. There is no reliable and valid diagnostic interview for ADHD in Asian Persian or Farsi speaking countries. The DSM 5-based version of the interview was sent to the 14 child and adolescent and general psychiatrists to ensure the validity of the ADHD section of the PAPA interview through an online website. Out of 59 health centers, 15 centers were selected via systematic random sampling. Three hundred children participated in the study. ADHD questions of the PAPA had the power to differentiate, with a sensitivity of 0.92, a specificity of 0.01. It had positive diagnostic value = 95.83 %, negative diagnostic value = 98.91 %, negative correlation ratio = 0.12, overall diagnostic accuracy = 98.67 % and diagnostic chance ratio = 2085.35. ADHD questions of the PAPA diagnostic interview can diagnose ADHD in preschool as a reliable tool based on DSM-5.

BACKGROUND:Developmental assets provide a framework for optimizing development among adolescents but have not been studied in adolescents with chronic illness and comorbid depression, which is a group at risk for poor health outcomes. YouTube postings provide valuable insights to understand this understudied population. OBJECTIVE:This study aims to explore asset development from the perspectives of adolescents and young adults (AYAs) with chronic illness and comorbid depression. METHODS:YouTube was searched using 12 chronic illnesses (eg, diabetes) coupled with "depression" as keywords. Videos were included if they were uploaded by AYAs aged between 11 and 29 years and discussed living with chronic illness and depression during adolescence. Video transcripts were coded deductively for 40 internal and external assets that constitute the Developmental Assets Framework. Categories not captured by deductive coding were identified using conventional content analysis. Categories and their respective assets were labeled as being discussed either negatively or positively. RESULTS:In total, 31 videos from 16 AYAs met the inclusion criteria. A total of 7 asset categories, support, constructive use of time, boundaries and expectations (external assets), identity, commitment to learning, positive values, and social competence (internal assets), reflecting 25 (13 internal; 12 external) assets, were discussed. Internal assets, particularly relating to identity, were commonly discussed by AYAs either in a negative way or fluctuated between positive and negative perspectives. CONCLUSIONS:In this sample of AYAs with chronic illness and comorbid depression, internal assets were commonly discussed in a negative way. Future research is needed to better understand how assets develop and if the Developmental Assets Framework adequately represents the experiences of this population.