Initial development of a digitally based comprehensive child mental health questionnaire.

The present report describes the item development and initial validation of a comprehensive child mental health questionnaire through a series of four studies. To maximize clinical utility, the questionnaire was developed to directly reflect Diagnostic and Statistical Manual of Mental Disorders, fifth edition psychiatric criteria and diagnoses, cover all mental health conditions that present in youth, and capitalize on the benefits of digital administration, particularly tiered branching logic. Study 1 describes the item generation and development of a tiered item structure. Study 2 established internal consistency and discriminant validity in a representative community sample of 1,000 youth aged 7-17 and a parent. Study 3 examined the acceptability of the questionnaire's content and structure to families and made indicated text revisions. Finally, Study 4 cross validated the internal consistency and tiered structure of a revised version of the questionnaire in a second representative normative sample of 1,000 parent and child dyads. The four studies resulted in a questionnaire consisting of one general mental health question (parent-report only), 16 items (for both parent and child) on a diagnostic category checklist, and 40 scales with screener and follow-up items reflecting DSM-5 criteria for specific disorders (371 parent items and 326 child items). The data support the potential of the questionnaire to efficiently assess the breadth of youth psychiatric symptoms efficiently. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Development of a Digital Platform to Support Child Mental Health Care.

Childhood mental health problems are a leading cause of disability and frequently go untreated. Barriers to children receiving the most effective care available include shortfalls in three areas: identification, referral to specialists, and delivery of evidence-based treatment (EBT). The current paper details an effort to develop a digital health intervention, the Mental Health Advisor (MHA), to increase the number of children with mental health problems who receive optimal care through identification, specialty referral, and fidelity to EBT. We present this pilot as a case example to help guide other efforts to improve mental health care through technology.

Parent-coached exposure therapy versus cognitive behavior therapy for childhood anxiety disorders.

Cognitive-behavioral therapy (CBT) is the strongest evidenced-based therapy for childhood anxiety disorders (CADs). However, CBT's impact is limited by its lack of clear superiority over treatment as usual, excessive length, and greater than 50% of patients remaining symptomatic. Parent-coached exposure therapy (PCET) is designed to treat CADs more effectively and efficiently through a focus on exposure and working with parents and youth together. In a randomized controlled trial, 78 patients (78% female) aged 7 to 17 with CADs were assigned to PCET or the gold-standard CBT. The primary outcome was independent evaluator ratings of anxiety severity at mid- and post-treatment. Secondary outcomes were parent- and child-reported symptoms. Patients receiving PCET had significantly lower mean scores than those receiving CBT on the primary outcome measure at mid-treatment (3.03 ± 0.14, 95% CI, 2.75-3.32 vs. 3.77 ± 0.16 95% CI, 3.45-4.08, p = 0.0010) and post-treatment (2.79 ± 0.14, 95% CI, 2.50-3.07 vs. 3.33 ± 0.16, 95% CI, 2.02-3.64, p = 0.0153). Similar significant results were found with the secondary parent- and child-reported outcomes. These superior results were achieved in PCET with fewer sessions (6.62, SD = 2.8) than those in CBT (8.00, SD = 3.1), p = 0.041. The superior effectiveness and efficiency of PCET likely results from the greater focus on implementing exposure exercises compared to traditional CBT.

Determining menstrual cycle phase: An empirical examination of methodologies and recommendations for improvement in behavioral and brain sciences.

The recent decade has brought an exciting proliferation of behavioral, psychological and neuroscientific research involving the menstrual cycle. However, the reliability and validity of many popular methodologies for determining menstrual cycle phase lack empirical examination. These under-investigated methods include: (1) predicting menstrual cycle phase using self-report information only (e.g., "count" methods), (2) utilizing ovarian hormone ranges to determine menstrual cycle phase, and (3) using ovarian hormone changes from limited measurements (e.g., two time points) to determine menstrual cycle phase. In the current study, we examine the accuracy of these methods for menstrual cycle phase determination using 35-day within-person assessments of circulating ovarian hormones from 96 females across the menstrual cycle. Findings indicate that all three common methods are error-prone, resulting in phases being incorrectly determined for many participants, with Cohen's kappa estimates ranging from -0.13 to 0.53 indicating disagreement to only moderate agreement depending on the comparison. Such methodological challenges are surmountable through careful study design, more frequent hormone assays (when possible), and utilization of sophisticated statistical methods. With increased methodological rigor in behavioral, psychological and neuroscientific research, the field will be poised to detect biobehavioral correlates of ovarian hormone fluctuations for the betterment of the mental health and wellbeing of millions of females.

Examining a window of vulnerability for affective symptoms in the mid-luteal phase of the menstrual cycle.

Particular phases of the menstrual cycle may exacerbate affective symptoms for females with a diagnosed mental health disorder. However, there are mixed findings regarding whether affective symptoms change across the menstrual cycle in females without a clinical diagnosis. The window of vulnerability model proposes that natural increases in ovarian hormones in the mid-luteal phase of the menstrual cycle lead to systematic changes in brain networks associated with affective processing. Consequently, the model posits that females may experience stress more intensely and remember negative events more readily in the mid-luteal phase, increasing their risk for higher affective symptoms. Using a 35-day longitudinal study design, we tested the window of vulnerability model in a non-clinical sample. We tracked naturally cycling females' daily stress and three types of affective symptoms: anxious apprehension, anxious arousal, and anhedonic depression. Using multilevel modeling, we simultaneously modeled within- and between-person associations among stress and menstrual phase for each affective symptom. We found increased anhedonic depression in the mid-luteal phase but not anxious apprehension or anxious arousal. Moreover, we detected a positive association between within- and between-person stress and anxious apprehension and anhedonic depression, but not anxious arousal. These associations were not stronger in the mid-luteal phase. Overall, we provide weak evidence for a window of vulnerability for affective symptoms in the mid-luteal phase of the menstrual cycle. Our findings suggest that stress is a better predictor of fluctuations in affective symptoms than the menstrual cycle. Moreover, our findings highlight the importance of measuring multiple negative affective symptoms because they may be differentially related to stress and the menstrual cycle.

Examining the role of ovarian hormones in the association between worry and working memory across the menstrual cycle.

Previous research indicates that worry is associated with poorer working memory performance. Moreover, prior work demonstrates that estradiol relates to both worry and working memory performance. In the present study, we sought to further examine interrelations between worry, estradiol and working memory by testing whether estradiol moderates the association between worry and working memory in females. We hypothesized that worry would be associated with poorer working memory performance at higher levels of estradiol. We also conducted exploratory analyses to examine the role of progesterone as a moderator of the association between worry and working memory. Participants were 97 naturally-cycling females who attended four lab sessions across their menstrual cycles. Consistent with predictions, higher average levels of worry were associated with lower working memory accuracy on particularly difficult trials when average levels of estradiol were also high. The same association between higher worry and lower working memory accuracy emerged when average levels of progesterone were high. Findings highlight the importance of considering ovarian hormones in future studies and current theories of anxiety and cognition.

An electrophysiological investigation on the emotion regulatory mechanisms of brief open monitoring meditation in novice non-meditators.

Despite a growing literature supporting the salutary effects of mindfulness meditation on emotion regulation, the underlying mechanisms linking neural and subjective changes occurring during the actual practice of meditation with emotion regulatory effects observed after meditation remains virtually unexplored. The current study sought to address this gap in knowledge by testing the hypothesis that adoption of internally-directed focused attention, indexed by increased alpha and theta spectral power, during brief open monitoring (OM) mindfulness meditation predicts reduced emotional reactivity, as measured by the late positive potential (LPP). Results revealed that the OM meditation did not produce demonstrable differences in alpha and theta power but did increase self-reported sleepiness relative to controls. Follow-up analyses showed that sleepiness uniquely moderated the effect of meditation on the LPP, such that less sleepiness during meditation, but not the control audio, corresponded to smaller LPPs to negative images. Change in theta, but not alpha power, between meditation and rest was positively correlated with the LPP even after controlling for sleepiness. Although the primary hypothesis was unsupported, the findings demonstrate that phenomenological and neural changes occurring during OM meditation may modulate its subsequent "off-the-cushion" effects on emotional reactivity.