A School-Based Intervention Using Health Mentors to Address Childhood Obesity by Strengthening School Wellness Policy.

PURPOSE AND OBJECTIVES: The objective of our study was to strengthen wellness policy in Title 1 schools by implementing a mentored behavior-change model that extends the continuum of care from academic to community settings and mobilizes existing public resources in accordance with US Preventive Services Task Force screening guidelines for childhood obesity management. INTERVENTION APPROACH: Team Kid POWER! (KiPOW!) health mentors (students and trainees in medical and health-related fields) in 2 geographically and demographically distinct school districts, the District of Columbia and Orange County, California, delivered standardized health curricular modules to fifth grade classrooms, modeled healthy eating behaviors during school lunchtime, and engaged in active play at recess. EVALUATION METHODS: Initial interventions in the the District of Columbia and Orange County delivered 10 sessions in which all participants received the intervention. Two subsequent interventions in Orange County, for 5 weeks (Lite) and 10 weeks (Full), included controls. Pre-post measurements of body mass index (BMI) and blood pressure were documented in all participants. A mixed linear regression model, which included a random effect for each school, estimated differences between Full and Lite interventions compared with controls, adjusting for site, sex, and baseline status of the dependent variable. RESULTS: KiPOW! Full, but not KiPOW! Lite, was associated with a modest reduction in BMI percentile compared with control (KiPOW! Full, P = .04; KiPOW! Lite, P = .41), especially in Orange County (P < .001). Systolic blood pressure improved in Full (P < .046) more than in Lite interventions (P = .11), and diastolic blood pressure improved in both Full (P = .02) and Lite (P = .03) interventions. Annual renewal of the school and volunteer commitment needed to maintain KiPOW! was found to be sustainable. IMPLICATIONS FOR PUBLIC HEALTH: KiPOW! is a generalizable academic-community partnership promoting face-to-face contact between students and trusted health mentors to reinforce school wellness policies and foster youth confidence in decision-making about nutrition- and activity-related behaviors to achieve reduced BMI percentile and lowered blood pressure.

Improving Anxiety Screening in Patients with Turner Syndrome.

INTRODUCTION: Turner syndrome (TS) results from a complete or partial loss of the X chromosome and affects 25-50 per 100,000 females. These individuals have characteristic neurocognitive and psychological profiles with an increased lifetime prevalence of mood disorders, such as depression and anxiety. Consensus guidelines recommend the use of psychometrically robust tools to screen for these conditions [Eur J Endocrinol. 2017;177(3):G1-G70 and Gynecol Endocrinol. 2004;19(6):313-9]. We propose a sustainable and informative approach to routine anxiety screening in individuals with TS and describe the prevalence of anxiety, genotype-phenotype associations, and impact of comorbidities on anxiety. METHODS: We pilot the use of a self-administered version of the validated Pediatric, Parent Proxy, and Adult Patient-Reported Outcomes Measurement Information System (PROMIS®) Anxiety tool during routine visits to the Cincinnati Children's Hospital Medical Center (CCHMC) TS clinic from October 2019 to March 2020. RESULTS: Ninety-two eligible TS females, ages 8-62 years, received the PROMIS® Anxiety measure. Elevated anxiety scores, ≥1 standard deviation above the T-score mean, were present in 65% of patients (38% mild, 19% moderate, and 8% severe). Results were discussed during the clinic visit, and referral for further evaluation and treatment was offered. There was no apparent genotype-phenotype association among females with anxiety; however, there appeared to be elevated anxiety symptoms (T-score >60) in those with hearing deficits and also in individuals with three or more medical comorbidities. Of the 55% of patients who filled out the acceptability survey, 88% found the process helpful and ∼50% felt that screening should be performed at least every 6 months. CONCLUSION: Our study demonstrated a high prevalence of anxiety symptoms within a cohort of 92 females with TS. In alignment with current guidelines, these findings indicate the importance of routine neuropsychological assessments for timely recognition and subsequent management of anxiety, especially as milder presentations may otherwise go unnoticed. We have shown that screening tools, such as the PROMIS® Anxiety measure, can be easily utilized by nonmental health care providers (i.e., endocrinologists) who may see TS patients more frequently and be able to initiate impactful discussions surrounding mental health and further referral to subspecialists for expert management.

Mining Twitter Data to Improve Detection of Schizophrenia.

Individuals who suffer from schizophrenia comprise I percent of the United States population and are four times more likely to die of suicide than the general US population. Identification of at-risk individuals with schizophrenia is challenging when they do not seek treatment. Microblogging platforms allow users to share their thoughts and emotions with the world in short snippets of text. In this work, we leveraged the large corpus of Twitter posts and machine-learning methodologies to detect individuals with schizophrenia. Using features from tweets such as emoticon use, posting time of day, and dictionary terms, we trained, built, and validated several machine learning models. Our support vector machine model achieved the best performance with 92% precision and 71% recall on the held-out test set. Additionally, we built a web application that dynamically displays summary statistics between cohorts. This enables outreach to undiagnosed individuals, improved physician diagnoses, and destigmatization of schizophrenia.