What Parents Should Expect From the New AAP Obesity Guidelines.

This JAMA Pediatrics Patient Page describes pediatric weight management according to the obesity guidelines recently published by the American Academy of Pediatrics (AAP).

Listen Before You Auscultate: An Active-Learning Approach to Bedside Cardiac Assessment.

Introduction: Bedside cardiac assessment (BCA) is deficient across a spectrum of noncardiology trainees. Learners not taught BCA well may become instructors who do not teach well, creating a self-perpetuating problem. To improve BCA teaching and learning, we developed a high-quality, patient-centered curriculum for medicine clerkship students that could be flexibly implemented and accessible to other health professions learners. Methods: With a constructivist perspective, we aligned learning goals, activities, and assessments. The curriculum used a "listen before you auscultate" framework, capturing patient history as context for a six-step, systematic approach. In the flipped classroom, short videos and practice questions preceded two 1-hour class activities that integrated diagnostic reasoning, pathophysiology, physical diagnosis, and reflection. Activities included case discussions, jugular venous pressure evaluation, heart sound competitions, and simulated conversations with patients. Two hundred sixty-eight students at four US and international medical schools participated. We incorporated feedback, performed thematic analysis, and assessed learners' confidence and knowledge. Results: Low posttest data capture limited quantitative results. Students reported increased confidence in BCA ability. Knowledge increased in both BCA and control groups. Thematic analysis suggested instructional design strategies were effective and peer encounters, skills practice, and encounters with educators were meaningful. Discussion: The curriculum supported active learning of day-to-day clinical competencies and promoted professional identity formation alongside BCA ability. Feedback and increased confidence on the late-clerkship posttest suggested durable learning. We recommend approaches to confirm this and other elements of knowledge, skill acquisition, or behaviors and are surveying impacts on professional identity formation-related constructs.

Stay in treatment: Predicting dropout from pediatric weight management study protocol.

INTRODUCTION: Childhood obesity is a serious public health concern. Multidisciplinary pediatric weight management programs have been deemed effective. However, effectiveness of these programs is impacted by attrition, limiting health benefits to children, and inefficiently utilizing scarce resources. METHODS: We have developed a model (the Outcomes Forecasting System, OFS) that isolates variables associated with attrition from pediatric weight management, with the potential to forecast participant dropout. In Aim 1, we will increase the power and precision of the OFS and then validate the model through the consistent acquisition of key patient, family, and treatment data, from three different weight management sites. In Aim 2, external validity will be established through the application of the OFS at a fourth pediatric weight management program. Aim 3 will be a pilot clinical trial, incorporating an intervention built on the results of Aims 1 and 2 and utilizing the OFS to reduce attrition. DISCUSSION: A greater understanding of the patient, family, and disease-specific factors that predict dropout from pediatric weight management can be utilized to prevent attrition. The goal of the current study is to refine the OFS to a level of precision and efficiency to be a valuable tool to any weight management program. By identifying the most pertinent factors driving attrition across weight management sites, new avenues for treatment will be identified. This study will result in a valuable forecasting tool that will be applicable for diverse programs and populations, decrease program costs, and improve patient retention, adherence, and outcomes. CLINICALTRIALSGOV IDENTIFIER: NCT04364282.

Internalized Weight Bias, Teasing, and Self-Esteem in Children with Overweight or Obesity.

Background: Although 2/3 of US adults and nearly 1/3 of US children have overweight or obesity, weight stigma is common. Many with overweight or obesity ascribe negative ideas to themselves, resulting in internalized weight bias (IWB). In adults, IWB has been associated with psychosocial problems; however, this relationship has been studied little in children. This study aims to describe IWB in children with overweight and obesity and to study the association of children's IWB with experienced weight bias, self-esteem, and their parents' IWB. Methods: Children ages 9-18 with overweight or obesity completed the Weight Bias Internalization Scale (WBIS), Rosenberg Self-Esteem Scale, and Perception of Teasing Scale; parents completed the Weight Bias Internalization Scale-Modified and the Perceived Weight Discrimination Scale. Descriptive statistics were used to assess IWB, self-esteem, and experienced weight stigma. Chi-square and t-tests were used to examine associations between categorical and continuous variables, respectively. Multivariate linear regression was used to identify correlates of IWB in children. Results: Of 111 child participants, the median WBIS score was 2.8 out of 7. Higher IWB was associated with more peer teasing (p < 0.001) and lower self-esteem (p < 0.001). IWB in children was not associated with child BMI z-score (p = 0.590) or higher parent IWB (p = 0.287). Conclusions: Children with overweight and obesity who have experienced more teasing by peers or who have lower self-esteem are more likely to have a higher IWB. However, increasing child BMI z-score and parent IWB are not associated with higher child IWB.

Assessing Parents' Communication of Weight and Weight Management from Clinic to Home.

Background: Family-oriented therapies are the gold standard of childhood obesity treatment, yet little is known about if or how information gathered by one parent from a health care provider is translated to the home. We assessed how families of children and adolescents with overweight and obesity communicate weight-related information received from their provider to family members not present at the visit. Methods: Parents and children (9-18 years old, N = 112) completed the McMaster's Family Assessment Device Communication Subscale (FADc) and investigator-derived questions describing weight-related communication practices with family members. We used descriptive statistics to describe communication practices and separate logistic regression models to assess associations of communication practices with parent-reported FADc, child BMI z-score, child sex, parent BMI, household income, and site. Results: Most parents discuss with other family members: their child's weight (60.4%) or weight management discussions with the child's provider (57.9%). Median parent FADc score was 2.0 (IQR 0.5). The most common facilitator to weight-related conversations was understanding what the provider said (95.1%). Higher FADc score (worse communication) was associated with whether parents ask other family members' opinions about weight information received from their child's provider [odds ratio 0.22 (95% confidence interval 0.05-0.99)]. Higher income was associated with many healthy communication practices. Conclusions: Slightly more than half of parents discuss with family members what their provider said regarding their child's weight. More effort must be placed on aiding parents in relaying information from the provider to other family members in the home to encourage family lifestyle changes and alleviate childhood obesity.

Integrated Mental Health Training Relates to Pediatric Residents' Confidence with Child Mental Health Disorders.

OBJECTIVE: The primary aim of this study was to determine the association of an integrated mental health training model on pediatric residents' use of (1) secondary screens, (2) mental health referrals, (3) psychotropic medications, and (4) follow-up appointments for mental health concerns. The secondary aim was to determine resident confidence managing mental health conditions. METHODS: Visits of children ages 6-18 years old with either a positive primary mental health screen or a mental health diagnosis in pre- and post-intervention years (N = 113 and N = 251, respectively) at a single-site continuity clinic were included. Authors also surveyed alumni from pre- and post- intervention years (N = 46) about their confidence with managing mental health disorders. The authors used chi-squared and t-tests to compare visit characteristics between years and multivariable logistic regression to determine correlates of mental health management. RESULTS: Post-intervention residents more often used secondary screening tools (adjusted odds ratio 5.61, 95% confidence interval 2.08-15.17). There were no differences in referrals, prescribing psychotropic medications, or follow-up visits. Post-intervention graduates reported higher confidence with diagnosis, screening, medication management, and follow-up for mental health disorders. CONCLUSIONS: After transitioning to an integrated mental health model, residents were more likely to use secondary screens and post-intervention graduates reported higher confidence with managing mental health disorders.

Association of Picky Eating and Food Neophobia with Weight: A Systematic Review.

BACKGROUND: Picky eating and food neophobia are common during childhood. Childhood eating behaviors are often predictive of adult eating behaviors. OBJECTIVES: Determine if childhood picky eating or food neophobia is associated with childhood weight status, or with becoming underweight, overweight, or obese later in childhood. DATA SOURCES: We identified relevant studies from searches of PubMed, PsycINFO, and NEOHAL, as well as citations from identified studies. Study Eligibility Criteria and Participants: Inclusion criteria were original research articles examining a relationship between picky eating and/or food neophobia with childhood weight status. We summarized definitions and prevalence of picky eating or food neophobia and association with weight status. STUDY APPRAISAL: Two independent investigators assessed bias and confounding using the Agency for Healthcare Research and Quality's RTI Item Bank. RESULTS: Forty-one studies met inclusion criteria. Picky eating was defined inconsistently, and a large variation in prevalence was found (5.8%-59%). Food neophobia was consistently defined as an unwillingness to try new foods, with a prevalence between 40% and 60%. No association existed between childhood weight status and food neophobia, and results were unclear for picky eating. LIMITATIONS: Risk of bias and confounding were moderate. Parental report was commonly used to assess picky eating, height, and weight and parental weight, feeding styles, and community characteristics were infrequently considered. CONCLUSIONS AND IMPLICATIONS: Heterogeneous definitions used for picky eating led to a wide range of reported prevalence and an unclear relationship with weight. Consistent definitions and an improved understanding of such a relationship could help clinicians provide appropriate anticipatory guidance.

Addressing Childhood Obesity: Opportunities for Prevention.

The overweight and obesity epidemic among children and adolescents in the United States continues to worsen, with notable racial, ethnic, and socioeconomic disparities. Risk factors for pediatric obesity include genetics; environmental and neighborhood factors; increased intake of sugar-sweetened beverages (SSBs), fast-food, and processed snacks; decreased physical activity; shorter sleep duration; and increased personal, prenatal, or family stress. Pediatricians can help prevent obesity by measuring body mass index at least yearly and providing age- and development-appropriate anticipatory guidance to families. Public policies and environmental interventions aim to make it easier for children to make healthy nutrition and physical activity choices. Interventions focused on family habits and parenting strategies have also been successful at preventing or treating childhood obesity.

Telemedicine and Pediatric Obesity Treatment: Review of the literature and lessons learned.

Pediatric obesity is more prevalent in rural areas, yet rural families may not have access to pediatric obesity treatment programs. Use of new technologies, particularly telemedicine, has proven effective in other behavioral fields, such as psychiatry. This paper reviews the literature on the use of telemedicine in pediatric obesity treatment, and describes one tertiary-care pediatric obesity telemedicine program. We performed a systematic review of the literature from 1990-2011 using the following criteria: pediatric age group, overweight or obesity care or treatment, and use of telemedicine technology. Of 2873 abstracts identified, four studies met all inclusion criteria; all were published after 2008. The limited evidence suggests that telemedicine to be a promising approach to pediatric weight management, particularly for rural families with limited access to treatments. We also provide important lessons learned from one pediatric obesity treatment clinic offering services to rural families via telemedicine. Few studies have examined the use of telemedicine for pediatric obesity treatment, but the available data favor this method for treating rural patients. There are several unique key factors influencing successful delivery of a pediatric obesity telemedicine treatment program. This review identifies a potential avenue for expanded treatment, and highlights the need for further investigation.

Multidisciplinary treatment of pediatric obesity: nutrition evaluation and management.

Assessment and treatment methods for pediatric obesity are rapidly evolving. Thought to be caused by an imbalance of caloric intake and expenditure, obesity requires a comprehensive evaluation of patient, familial, environmental, genetic, and cultural characteristics so clinicians can design successful interventions. Quantitative nutrition assessment of caloric intake is difficult and time consuming and should be used only in isolated settings, such as in the research setting, or if initial approaches to management have been unsuccessful. As an alternative, providers should identify dietary patterns or behaviors that have been linked to obesity and are promising targets for change. Clinicians should tailor interventions by considering patient and family motivation and readiness to change. Current guidelines recommend stepwise increases in treatment plans, and multidisciplinary treatment teams are recommended for patients who require intense intervention. Providers involved at the multidisciplinary level must incorporate their area of expertise into that of the team to develop a comprehensive management plan. This article reviews current recommendations for the evaluation and treatment of pediatric obesity with a focus on nutrition evaluation as part of a multidisciplinary team.

The negative consequences of other students' drinking: inventory development and assessment of differences by student characteristics and risk behaviors.

UNLABELLED: College students continue to report being disrupted by other students' alcohol use. OBJECTIVE: This study was designed to develop measures to document the consequences resulting from other students' drinking and identify differences in experiencing these consequences by student characteristics and drinking behaviors. STUDY GROUP: A stratified random sample of undergraduate students (N = 3,908) from ten universities in North Carolina, USA, completed a web-based assessment. METHODS: Exploratory factor analysis (EFA) was performed on the random first split-half sample (n = 1,954) to identify factor structure. Confirmatory factor analysis (CFA) was performed on the remaining half sample (n = 1,954) using structural equation modeling. RESULTS: EFA revealed two inventories: interpersonal and community consequences of others' drinking inventories. CFA on the second split-half sample identified model fits for the two factor structure suggested by EFA. Of 3,908 participants, 78% reported experiencing one or more consequences due to others' drinking during the past 30 days. Multivariable generalized linear mixed modeling further validated the inventories and resulted in several associations. Male students who reported getting drunk experienced significantly more interpersonal consequences from others' drinking (p < .001). Minority students, students who lived on campus and students who reported getting drunk experienced significantly more community consequences from others' drinking (p < .01). CONCLUSIONS: These findings demonstrate that 4 out of 5 college students experience consequences from others' drinking, and consequences vary for different subgroups of students. Although these inventories should be tested further, these findings propose standardized measures that may be useful to assess the consequences of others' drinking among college students.