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Blood pressure (BP) assessment and management are important aspects of care for youth with obesity. This study evaluates data of youth with obesity seeking care at 35 pediatric weight management (PWM) programs enrolled in the Pediatric Obesity Weight Evaluation Registry (POWER). Data obtained at a first clinical visit for youth aged 3–17 years were evaluated to: (1) assess prevalence of BP above the normal range (high BP); and (2) identify characteristics associated with having high BP status. Weight status was evaluated using percentage of the 95th percentile for body mass index (%BMIp95); %BMIp95 was used to group youth by obesity class (class 1, 100% to < 120% %BMIp95; class 2, 120% to < 140% %BMIp95; class 3, ≥140% %BMIp95; class 2 and class 3 are considered severe obesity). Logistic regression evaluated associations with high BP. Data of 7943 patients were analyzed. Patients were: mean 11.7 (SD 3.3) years; 54% female; 19% Black non‐Hispanic, 32% Hispanic, 39% White non‐Hispanic; mean %BMIp95 137% (SD 25). Overall, 48.9% had high BP at the baseline visit, including 60.0% of youth with class 3 obesity, 45.9% with class 2 obesity, and 37.7% with class 1 obesity. Having high BP was positively associated with severe obesity, older age (15–17 years), and being male. Nearly half of treatment‐seeking youth with obesity presented for PWM care with high BP making assessment and management of BP a key area of focus for PWM programs.

Obesity is a prevalent childhood condition and the degree of adiposity appears likely to be an important covariate in the pharmacokinetics (PKs) of many drugs. We undertook these studies to facilitate the evaluation and, where appropriate, quantification of the covariate effect of body fat percentage (BF%) on PK parameters in children. We examined two large databases to determine the values and variabilities of BF% in children with healthy body weights and in those with obesity, comparing the accuracy and precision of BF% estimation by both clinical methods and demographically derived techniques. Additionally, we conducted simulation studies to evaluate the utility of the several methods for application in clinical trials. BF% was correlated with body mass index (BMI), but was highly variable among both children with healthy body weights and those with obesity. Bio‐impedance and several demographically derived techniques produced mean estimates of BF% that differed from dual x‐ray absorptiometry by < 1% (accuracy) and a SD of 5% or less (precision). Simulation studies confirmed that when the differences in precision among the several methods were small compared with unexplained between‐subject variability of a PK parameter, the techniques were of similar value in assessing the contribution of BF%, if any, as a covariate for that PK parameter. The combination of sex and obesity stage explained 68% of the variance of BF% with BMI. The estimation of BF% from sex and obesity stage can routinely be applied to PK clinical trials to evaluate the contribution of BF% as a potential covariate.

BackgroundGenetic screening for youth with obesity in the absence of syndromic findings has not been part of obesity management. For children with early onset obesity, genetic screening is recommended for those having clinical features of genetic obesity syndromes (including hyperphagia).ObjectivesThe overarching goal of this work is to report the findings and experiences from one pediatric weight management program that implemented targeted sequencing analysis for genes known to cause rare genetic disorders of obesity.Subjects/MethodsThis exploratory study evaluated youth tested over an 18-month period using a panel of 40-genes in the melanocortin 4 receptor pathway. Medical records were reviewed for demographic and visit information, including body mass index (BMI) percent of 95th percentile (%BMIp95) and two eating behaviors.ResultsOf 117 subjects: 51.3% were male; 53.8% Hispanic; mean age 10.2 years (SD 3.8); mean %BMIp95 157% (SD 29%). Most subjects were self- or caregiver-reported to have overeating to excess or binge eating (80.3%) and sneaking food or eating in secret (59.0%). Among analyzed genes, 72 subjects (61.5%) had at least one variant reported; 50 (42.7%) had a single variant reported; 22 (18.8%) had 2–4 variants reported; most variants were rare (<0.05% minor allele frequency [MAF]), and of uncertain significance; all variants were heterozygous. Nine subjects (7.7%) had a variant reported as PSCK1 “risk” or MC4R “likely pathogenic”; 39 (33.3%) had a Bardet-Biedl Syndrome (BBS) gene variant (4 with “pathogenic” or “likely pathogenic” variants). Therefore, 9 youth (7.7%) had gene variants previously identified as increasing risk for obesity and 4 youth (3.4%) had BBS carrier status.ConclusionsPanel testing identified rare variants of uncertain significance in most youth tested, and infrequently identified variants previously reported to increase the risk for obesity. Further research in larger cohorts is needed to understand how genetic variants influence the expression of non-syndromic obesity.

The American Academy of Pediatrics's guideline on health supervision for children with Down syndrome (DS) offers pediatricians guidance to improve detection of comorbid conditions. Pediatrician adherence has not yet been comprehensively evaluated. Medical records of 31 children with DS who received primary care at two urban academic clinic sites from 2008–2012 were reviewed. Data was extracted on adherence to age-specific individual guideline components for each subject by year-of-life (total 84 years-of-life). Overall adherence across all components was 83% (2001 guideline) and 67% (2011 guideline). Adherence to thyroid, hearing, vision, and developmental components was >85%, and anticipatory guidance regarding atlantoaxial instability and sexuality was <35%. Overall adherence was higher when a subject was younger and when a provider was an attending-level pediatrician.

Background: This study describes experiences and perspectives of pediatric weight management (PWM) providers on the implementation of genetic testing for rare causes of obesity. Methods: Purposive and snowball sampling recruited PWM providers via email to complete a 23-question survey with multiple choice and open-ended questions. Analyses include descriptive statistics, Fisher's exact test, one-way ANOVA with Tukey's post hoc test, and qualitative analysis. Results: Of the 55 respondents, 80% reported ordering genetic testing. Respondents were primarily physicians (82.8%) in practice for 11–20 years (42%), identified as female (80%), White (76.4%), and non-Hispanic (92.7%) and provided PWM care 1–4 half day sessions per week. Frequently reported patient characteristics that prompted testing did not vary by provider years of experience (YOE). These included obesity onset before age 6, hyperphagia, dysmorphic facies, and developmental delays. The number of patient characteristics that prompted testing varied by YOE ( p  = 0.03); respondents with 6–10 YOE indicated more patient characteristics than respondents with >20 YOE (mean 10.3 vs. mean 6.2). The reported primary benefit of testing was health information for patients/families; the primary drawback was the high number of indeterminate tests. Ethical concerns expressed were fear of increasing weight stigma, discrimination, and impact on insurance coverage. Respondents (42%) desired training and guidance on interpreting results and counseling patients and families. Conclusions: Most PWM providers reported genetic testing as an option for patient management. Provider training in genetics/genomics and research into provider and family attitudes on the genetics of obesity and the value of genetic testing are next steps to consider.

Background: Adolescence is a challenging time for families, which is intensified when managing a chronic health condition. In adolescents with severe obesity, little is known about how adolescent/mother dyads approach management. Our study aims to (1) explore similarities/differences in adolescent/mother dyads' perceptions of weight management behaviors and (2) describe their experiences with successes and challenges related to weight management. Methods: This was a qualitative descriptive analysis of interviews from 21 adolescent/mother dyads. Conventional content analysis was used to identify themes characterizing dyads' weight management efforts. Results: Two patterns of perceptions were identified across the dyads specific to weight management behaviors: collaborative (dyads agreed) and conflicting (dyads disagreed). Weight management themes with collaborative perceptions were food preferences; food and emotion; the adolescent is active; exercise is not enjoyable; the family is active together; and stopping medications. Weight management themes with conflicting perceptions were responsibility for initiating and maintaining exercise, motivation and willingness to exercise, and responsibility for medications. Dyads had collaborative pattern responses on perceptions of success and challenges. Themes related to successes were weight loss and supportive relationships. Themes related to challenges were inconsistent daily routines and schedules, and unsupportive relationships. Conclusions: Dyads responded with collaborative or conflicting perceptions to weight management behaviors and with collaborative responses to success and challenges. Sustaining healthy habits was difficult from the perspectives of dyads. For youth with severe obesity, providing care that recognizes and addressees issues youth and their families experience may require improved and innovative interventions.

Childrens' touching and mouthing behaviors during outdoor play in urban residential yards were measured using video observations. Descriptions were made of childrens' outdoor residential play environments. Behaviors assessed were used to examine (1) validity of parental responses to questions on childrens' oral behaviors and outdoor play and (2) relationships of mouthing behaviors to blood lead levels (BLLs). Thirty-seven children aged 1–5 years were recruited for 2 h of video recording in their yard and blood lead measurement. Video assessments included hourly rates of hand touches to ground/walking-level surfaces (cement/stone/steel, porch floor/steps, grass, and bare soil) and oral behaviors. Parental questionnaires assessed their child's outdoor activities, behaviors, and home environment. The children were: mean 39 months; 51% male; 89% Hispanic; and 78% Medicaid or uninsured. Twenty-two children had a blood lead measured (mean 6  μ g/dl). During taping, all children had access to cement, 92% to grass, 73% to bare soil, and 59% to an open porch. Children had frequent touching and mouthing behaviors observed (median touches/h: touches to surfaces 81; hand-to-mouth area (with and without food) 26; hand-in-mouth 7; and object-in-mouth 17). Blood lead was directly correlated with log-transformed rates of hand-in-mouth (Pearson's correlation, r =0.564, n =22, P =0.006) and object-in-mouth (Pearson's correlation, r =0.482, n =22, P =0.023) behaviors. Parental questionnaire responses did not accurately reflect childrens' observed oral behaviors, play habits, or play environment. These data confirm the direct relationship between hand-to-mouth activities and BLLs and fail to validate parental perceptions of their child's mouthing behaviors or outdoor play environment.

The aims of this study were to examine factors related to 1) parental perception of health risks for overweight children and 2) parents’ self-efficacy for influencing their children's dietary and physical activity behaviors, especially in relation to family history (FH) of diabetes and cardiovascular disease (CVD). A consecutive sample of parents was surveyed at 7 primary care practices about FH, perceptions of childhood obesity–related health risks, health beliefs, and perceptions. Generalized estimated equation models clustering on practice were developed to examine associations with perceptions and self-efficacy. Analyses included 386 parents of children aged 2 to 17 years. Sixty-seven percent had FH of CVD and 33% had FH of diabetes. Children were 57% white, 23% Hispanic, 12% African American, and 8% other race/ethnicity; 17% were overweight and 18% were obese. Parents whose child had FH of diabetes more often perceived higher risk of diabetes for overweight children than those with neither FH risk (adjusted odds ratio [OR] 1.4, 95% confidence interval [95% CI], 1.2–1.7), as did those with FH of CVD (adjusted OR 2.0, 95% CI, 1.6–2.5) and those with an obese child. Parents with less than college education or having African American and female children perceived risk less often. Parents had high self-efficacy for influencing their child if they had a strong belief in parental modeling and their child was aged <12 years. Family history of diabetes and CVD and other factors are associated with parents’ perceptions of health risks for overweight children. Strategies to use FH to motivate families with overweight children toward behavior change are needed.

The management of youth with severe obesity is strongly impacted by social determinants of health and family dynamics. We present case studies of three patients seen in our tertiary care obesity treatment clinic as examples of the challenges faced by these patients and their families, as well as by the medical team. We discuss how these cases illustrate potential barriers to care, the role of child protective services, and we reflect upon lessons learned through the care of these patients. These cases highlight the need for comprehensive care in the management of youth with severe obesity, which can include: visits to multiple medical specialists, and mental and behavioral health providers; school accommodations; linkage to community resources; and, potentially, child protective services involvement. Through the care of these youth, our medical team gained more experience with using anti-obesity medications and meal replacements. The care of these youth also heightened our appreciation for the integral role of mental health services and community-based resources in the management of youth with severe obesity.