Identifying Children and Adolescents at Elevated Mental Health Risk Before and During COVID-19.

Objective: To determine whether the prevalence of psychosocial risk in children and adolescents changed from before to during the COVID-19 pandemic and whether these changes differed by age group, sex, and season, based on a standardized psychosocial measure completed as a routine part of primary care.

Methods: Children and adolescents aged 5.5 to 17.

Do Autism-Specific and General Developmental Screens Have Complementary Clinical Value?

Prior studies suggest autism-specific and general developmental screens are complementary for identifying both autism and developmental delay (DD). Parents completed autism and developmental screens before 18-month visits. Children with failed screens for autism (n = 167) and age, gender, and practice-matched children passing screens (n = 241) completed diagnostic evaluations for autism and developmental delay.

Earthquake exposure, adverse childhood experiences, and psychosocial functioning in Chilean children: A longitudinal study.

The impact of an 8.8 magnitude Chilean earthquake on elementary school students' psychosocial functioning was assessed along with exposure to adverse childhood experiences (ACEs). Skills for Life, a national school-based mental health program in Chile, routinely assesses first- and third-grade students' psychosocial functioning and classroom adaptation.

Autism screening at 18 months of age: a comparison of the Q-CHAT-10 and M-CHAT screeners.

Background: Autism screening is recommended at 18- and 24-month pediatric well visits. The Modified Checklist for Autism in Toddlers-Revised (M-CHAT-R) authors recommend a follow-up interview (M-CHAT-R/F) when positive. M-CHAT-R/F may be less accurate for 18-month-olds than 24-month-olds and accuracy for identification prior to two years is not known in samples that include children screening negative.

Beyond Initial Screening: One-Year Follow-up of Adolescents with Internalizing Problems on the Pediatric Symptom Checklist.

Objective: Screening for adolescent depression is a quality indicator for pediatric care, and the parent-completed, 17-item Pediatric Symptom Checklist's internalizing (PSC-17P-INT) subscale has been validated for this purpose. The current study assessed the feasibility of PSC-17P-INT screening, the prevalence of risk on 2 consecutive PSC-17P-INTs, and rates of behavioral health (BH) service use before and after screening.

Methods: The parent-report PSC-17 was completed on tablet devices before well-child visits (WCVs) with results instantaneously available to clinicians in the electronic health record.

Recognizing Adolescent Depression with Parent- and Youth-Report Screens in Pediatric Primary Care.

Objectives: To compare the use of the parent-report Pediatric Symptom Checklist (PSC-17P) and youth-report Patient Health Questionnaire-9 Modified for Teens (PHQ-9M) in compliance with recent quality standards for adolescent depression screening.

Study Design: Parents of 5411 pediatric outpatients (11.0-17.

Accurate Autism Screening at the 18-Month Well-Child Visit Requires Different Strategies than at 24 Months.

Accuracy of autism screening using M-CHAT plus the follow-up interview (M-CHAT/F) for children screened positive at 18-months was compared to screening at 24-months. Formal ASD testing was criterion for a community sample of M-CHAT positive children (n = 98), positive predictive value (PPV) was 0.40 for the M-CHAT and 0.

Comparison of Autism Screening in Younger and Older Toddlers.

This study examined the effect of age at completion of an autism screening test on item failure rates contrasting older (>20 months) with younger (<20 months) toddlers in a community primary care sample of 73,564 children. Items related to social development were categorized into one of three age sets per criteria from Inada et al. (Research in Autism Spectrum Disorders 4(4):605-611, 2010).

School-based Screening to Identify Children At Risk for Attention-Deficit/Hyperactivity Disorder: Barriers and Implications.

This report describes a school-based screening project to improve early identification of children at risk for attention-deficit/hyperactivity disorder (ADHD) and communicate these concerns to parents, recommending that they contact their child's primary care provider (PCP). Of 17,440 eligible children in first through fifth grades in five school districts, 47.0% of parents provided required written consent, and teachers completed 70.

Autism Screening With Online Decision Support by Primary Care Pediatricians Aided by M-CHAT/F.

Background And Objective: Autism spectrum disorders (ASDs) often go undetected in toddlers. The Modified Checklist for Autism in Toddlers (M-CHAT) With Follow-up Interview (M-CHAT/F) has been shown to improve detection and reduce over-referral. However, there is little evidence supporting the administration of the interview by a primary care pediatrician (PCP) during typical checkups.

The PSC-17: Subscale Scores, Reliability, and Factor Structure in a New National Sample.

Background: The Pediatric Symptom Checklist-17 (PSC-17) is a widely used, briefer version of the PSC-35, a parent-completed measure of children's psychosocial functioning. Despite the extensive use of the PSC-17 over the past 15 years there has not been a large-scale replication of the original derivation study.

Objective: To examine the prevalence of positive screens, reliability, and factor structure of PSC-17 scores in a new national sample and compare them with the derivation sample.

Cerebellar Transcriptome Profiles of ATXN1 Transgenic Mice Reveal SCA1 Disease Progression and Protection Pathways.

SCA1, a fatal neurodegenerative disorder, is caused by a CAG expansion encoding a polyglutamine stretch in the protein ATXN1. We used RNA sequencing to profile cerebellar gene expression in Pcp2-ATXN1[82Q] mice with ataxia and progressive pathology and Pcp2-ATXN1[30Q]D776 animals having ataxia in absence of Purkinje cell progressive pathology. Weighted Gene Coexpression Network Analysis of the cerebellar expression data revealed two gene networks that significantly correlated with disease and have an expression profile correlating with disease progression in ATXN1[82Q] Purkinje cells.