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Objective: The COVID-19 pandemic has disrupted traditional health care, including pediatric health care. We described the impact of the pandemic on disparities in pediatric health care engagement. Methods: Using a population-based cross-sectional time-series design, we compared monthly ambulatory care visit volume and completion rates (completed vs no-show and cancelled visits) among pediatric patients aged 0-21 years in 4 states in the mid-Atlantic United States during the first year of the COVID-19 pandemic (March 2020–February 2021) with the same period before the pandemic (March 2019–February 2020). We used unadjusted odds ratios, stratified by visit type (telehealth or in-person) and sociodemographic characteristics (child race and ethnicity, caregiver primary language, geocoded Child Opportunity Index, and rurality). Results: We examined 1 556 548 scheduled ambulatory care visits for a diverse pediatric patient population. Visit volume and completion rates (mean, 70.1%) decreased during the first months of the pandemic but returned to prepandemic levels by June 2020. Disparities in in-person visit completion rates among non-Hispanic Black versus non-Hispanic White patients (64.9% vs 74.3%), patients from socioeconomically disadvantaged versus advantaged communities as measured by Child Opportunity Index (65.8% vs 76.4%), and patients in rural versus urban neighborhoods (66.0% vs 70.8%) were the same during the remainder of the first year of the pandemic as compared with the previous year. Concurrent with large increases in telehealth (0.5% prepandemic, 19.0% during the pandemic), telehealth completion rates increased. Conclusions: Disparities in pediatric visit completion rates that existed before the pandemic persisted during the pandemic. These findings underscore the need for culturally tailored practices to reduce disparities in pediatric health care engagement.

Objective The COVID-19 Exposure and Family Impact Scales (CEFIS) were developed in Spring 2020 to assess effects of the COVID-19 pandemic on families and caregivers. Initial psychometric properties were promising. The current study examined the factor structure and evaluated convergent and criterion validity of the CEFIS in a new sample. Methods In October and November 2020, caregivers (N = 2,531) of youth (0–21 years) scheduled for an ambulatory care visit at Nemours Children’s Hospital, Delaware completed the CEFIS and measures of convergent (PROMIS Global Mental Health Scale, Family Assessment Device) and criterion validity (PTSD Checklist—Civilian). Confirmatory factor analysis was used to examine the factor structure of the CEFIS. Bivariate correlations and logistic regression were used to examine convergent and criterion validity. Results Factor analysis supported the original six- and three-factor structures for the Exposure and Impact scales, respectively. Second-order factor analyses supported the use of Exposure, Impact, and Distress total scores. Higher scores on the CEFIS Exposure, Impact, and Distress scales were associated with increased mental health concerns and poorer family functioning. Higher scores on all CEFIS scales were also associated with greater odds of having clinically significant posttraumatic stress symptoms. Conclusions The CEFIS is a psychometrically sound measure of the impact of the COVID-19 pandemic on family and caregiver functioning and may also be useful in identifying families who would benefit from psychological supports.

OBJECTIVES To identify associations between weight category and hospital admission for lower respiratory tract disease (LRTD), defined as asthma, community-acquired pneumonia, viral pneumonia, or bronchiolitis, among children evaluated in pediatric emergency departments (PEDs). METHODS We performed a retrospective cohort study of children 2 to RESULTS Among 107 446 children with 218 180 PED evaluations for LRTD, 4.5% had underweight, 56.4% had healthy normal weight, 16.1% had overweight, 14.6% had class 1 obesity, 5.5% had class 2 obesity, and 3.0% had class 3 obesity. Underweight was associated with increased risk of hospital admission compared with normal weight (odds ratio [OR] 1.76; 95% confidence interval [CI] 1.69–1.84). Overweight (OR 0.87; 95% CI 0.85–0.90), class 1 obesity (OR 0.88; 95% CI 0.85–0.91), and class 2 obesity (OR 0.91; 95% CI 0.87–0.96) had negative associations with hospital admission. Class 1 and class 2, but not class 3, obesity had small positive associations with 7- and 30-day PED revisits. CONCLUSIONS We found an inverse relationship between patient weight category and risk for hospital admission in children evaluated in the PED for LRTD.

The current Centers for Disease Control and Prevention (CDC) body mass index (BMI) z-scores are inaccurate for BMIs of ≥97th percentile. We, therefore, considered 5 alternatives that can be used across the entire BMI distribution: modified BMI-for-age z-score (BMIz), BMI expressed as a percentage of the 95th percentile (%CDC95th percentile), extended BMIz, BMI expressed as a percentage of the median (%median), and %median adjusted for the dispersion of BMIs.We illustrate the behavior of the metrics among children of different ages and BMIs. We then compared the longitudinal tracking of the BMI metrics in electronic health record data from 1.17 million children in PEDSnet using the intraclass correlation coefficient to determine if 1 metric was superior.Our examples show that using CDC BMIz for high BMIs can result in nonsensical results. All alternative metrics showed higher tracking than CDC BMIz among children with obesity. Of the alternatives, modified BMIz performed poorly among children with severe obesity, and %median performed poorly among children who did not have obesity at their first visit. The highest intraclass correlation coefficients were generally seen for extended BMIz, adjusted %median, and %CDC95th percentile.Based on the examples of differences in the BMI metrics, the longitudinal tracking results and current familiarity BMI z-scores and percentiles. Both extended BMIz and extended BMI percentiles may be suitable replacements for the current z-scores and percentiles. These metrics are identical to those in the CDC growth charts for BMIs of95th percentile and are superior for very high BMIs. Researchers' familiarity with the current CDC z-scores and clinicians with the CDC percentiles may ease the transition to the extended BMI scale.

ImportanceTo our knowledge, there are no published randomized clinical trials of recruitment strategies. Rigorously evaluated successful recruitment strategies for children are needed.ObjectiveTo evaluate the feasibility of 2 recruitment methods for enrolling rural children through primary care clinics to assess whether either or both methods are sufficiently effective for enrolling participants into a clinical trial of a behavioral telehealth intervention for children with overweight or obesity.Design, Setting, and ParticipantsThis cluster-randomized clinical trial of 2 recruitment methods was conducted at 4 primary care clinics in 4 separate states. Each clinic used both recruitment methods in random order. Clinic eligibility criteria included at least 40% pediatric patients with Medicaid coverage and at least 100 potential participants. Eligibility criteria for children included a rural home address, age 6 to 11 years, and body mass index at or above the 85th percentile. Recruitment began February 3, 2020, and randomization of participants occurred on August 17, 2020. Data were analyzed from October 3, 2021, to April 21, 2022.InterventionsTwo recruitment methods were assessed: the active method, for which a list of potential participants seen within the past year at each clinic was generated through the electronic health record and consecutively approached by research staff based on visit date to the clinic, and the traditional method, for which recruitment included posters, flyers, social media, and press release. Clinics were randomized to the order in which the 2 methods were implemented in 4-week periods, followed by a 4-week catch-up period using the method found most effective in previous periods.Main Outcomes and MeasuresFor each recruitment method, the number and proportion of randomized children among those who were approached was calculated.ResultsA total of 104 participants were randomized (58 girls [55.8%]; mean age, 9.3 [95% CI, 9.0-9.6] years). Using the active method, 535 child-parent dyads were approached and 99 (18.5% [95% CI, 15.3%-22.1%]) were randomized. Using the traditional method, 23 caregivers expressed interest, and 5 (21.7% [95% CI, 7.5%-43.7%]) were randomized. All sites reached full enrollment using the active method and no sites achieved full enrollment using the traditional method. Mean time to full enrollment was 26.3 (range, 21.0-31.0) days.Conclusions and RelevanceThis study supports the use of the active approach with local primary care clinics to recruit children with overweight and obesity from rural communities into clinical trials.Trial RegistrationClinicalTrials.gov Identifier: NCT04142034

Background: The prevalence of severe obesity and electronic game use among youth has increased over time. Methods: We administered a survey assessing gaming and psycho-demographic characteristics to youth aged 11–17 attending five weight management programs. We conducted chi-square and logistic regression analyses to describe the association between class 3 severe obesity and gaming characteristics. Results: Four hundred twelve youth (51% female, 26% Black, 25% Hispanic, 43% White, and 44% with class 3 severe obesity) completed the survey. There was a stepwise relationship between time spent gaming and class 3 severe obesity, with 28% of those playing 2 to

Childhood obesity is a major public health challenge. Early prediction and identification of the children at a high risk of developing childhood obesity may help in engaging earlier and more effective interventions to prevent and manage obesity. Most existing predictive tools for childhood obesity primarily rely on traditional regression-type methods using only a few hand-picked features and without exploiting longitudinal patterns of children data. Deep learning methods allow the use of high-dimensional longitudinal datasets. In this paper, we present a deep learning model designed for predicting future obesity patterns from generally available items on children medical history. To do this, we use a large unaugmented electronic health records dataset from a large pediatric health system. We adopt a general LSTM network architecture which are known to better represent the longitudinal data. We train our proposed model on both dynamic and static EHR data. Our model is used to predict obesity for ages between 2-20 years. We compared the performance of our LSTM model with other machine learning methods that aggregate over sequential data and ignore temporality. To add interpretability, we have additionally included an attention layer to calculate the attention scores for the timestamps and rank features of each timestamp., 19 pages, 4 Tables, 7 figures

Objectives To test the hypothesis that children with elevated psychosocial risk would have increased attrition and worse weight outcomes in weight management treatment. Study design This was a prospective cohort study of 100 new patients, aged 4-12 years, in a weight management clinic. Parents completed the Psychosocial Assessment Tool. Logistic regression analyses were conducted to calculate the odds of attrition from the clinic and a nonmeaningful change in body mass index (BMI) z -score (ie, z -score) over a 6-month period based on psychosocial risk category, adjusting for child demographics and baseline weight category. Results The majority of patients were male (59%), black (36%) or white (43%), and had severe obesity (55%), and 59% of families were categorized as having moderate or high psychosocial risk. Over the 6-month period, 53% of families were lost to follow-up, and 67% did not have a clinically meaningful decrease in BMI z -score. Compared with children of families with low psychosocial risk, children of families with moderate or high psychosocial risk were 3.1 times (95% CI, 1.3-7.2 times) more likely to be lost to follow-up and 2.9 times (95% CI, 1.1-7.9 times) more likely to have a non–clinically meaningful change in BMI z -score. Conclusions Children presenting with increased psychosocial risk have higher attrition and poorer weight outcomes, supporting the need for psychosocial screening as a standard component of pediatric weight management treatment.

Pediatric primary care providers play a critical role in managing obesity yet often lack the resources and support systems to provide effective care to children with obesity. The objective of this study was to identify system-level barriers to managing obesity and resources desired to better managing obesity from the perspective of pediatric primary care providers. A 64-item survey was electronically administered to 159 primary care providers from 26 practices within a large pediatric primary care network. Bivariate analyses were performed to compare survey responses based on provider and practice characteristics. Also factor analysis was conducted to determine key constructs that effect pediatric interventions for obesity. Survey response rate was 69% ( n = 109), with the majority of respondents being female (77%), physicians (67%), and without prior training in obesity management (74%). Time constraints during well visits (86%) and lack of ancillary staff (82%) were the most frequently reported barriers to obesity management. Information on community resources (99%), an on-site dietitian (96%), and patient educational materials (94%) were most frequently identified as potentially helpful for management of obesity in the primary care setting. Providers who desired more ancillary staff were significantly more likely to practice in clinics with a higher percentage of obese, Medicaid, and Hispanic patients. Integrating ancillary lifestyle expert support into primary care practices and connecting primary care practices to community organizations may be a successful strategy for assisting primary care providers with managing childhood obesity, especially among vulnerable populations.

Prior studies show seven percent to nine percent of children demonstrate gaming behaviors that affect a child's ability to function (e.g., problem gaming), but none have examined the association between problem gaming and weight status. The objective of this study was to determine the prevalence of problem gaming among children enrolled in tertiary weight management programs. We administered a computer-based survey to a convenience sample of children aged 11-17 years enrolled in five geographically diverse pediatric weight management (PWM) programs in the COMPASS (Childhood Obesity Multi-Program Analysis and Study System) network. The survey included demographics, gaming characteristics, and a problem gaming assessment. The survey had 454 respondents representing a diverse cohort (53 percent females, 27 percent black, 24 percent Hispanic, 41 percent white) with mean age of 13.7 years. A total of 8.2 percent of respondents met criteria for problem gaming. Problem gamers were more likely to be white, male, play mature-rated games, and report daily play. Children in PWM programs reported problem gaming at the same rate as other pediatric populations. Screening for problem gaming provides an opportunity for pediatricians to address gaming behaviors that may affect the health of children with obesity who already are at risk for worsened health and quality of life.

BACKGROUND: The objective of this study is to describe the weight trajectory of refugee children after resettlement in the US. METHODS: A pilot study was conducted, utilizing longitudinal data obtained from the electronic health record of 129 children between 2 and 18 years of age (54% female, mean age 10 years) from the 3 primary countries of origin presenting to a refugee clinic (Bhutan, N = 71; Burma, N = 36, and Iraq, N = 22).. Mixed effects model analyses were utilized to characterize weight trajectory with calculation of a per year change in BMI-z score, adjusting for baseline BMI-z score, age, and time. RESULTS: There was a significant increase in BMI-z (mean 0.15 units/year, p=0.04) among refugee children during their initial period after resettlement. Female children from Bhutan demonstrated the most rapid increase in weight, with a mean BMI-z gain of 1.00 units/year. CONCLUSION: Female children from Bhutan demonstrated rapid weight gain after resettlement in the US. Further studies are needed to describe weight trajectory trends and evaluate possible reasons for rapid weight gain in this population.

BackgroundFitness trackers can engage users through automated self-monitoring of physical activity. Studies evaluating the utility of fitness trackers are limited among adolescents, who are often difficult to engage in weight management treatment and are heavy technology users. ObjectiveWe conducted a pilot randomized trial to describe the impact of providing adolescents and caregivers with fitness trackers as an adjunct to treatment in a tertiary care weight management clinic on adolescent fitness tracker satisfaction, fitness tracker utilization patterns, and physical activity levels. MethodsAdolescents were randomized to 1 of 2 groups (adolescent or dyad) at their initial weight management clinic visit. Adolescents received a fitness tracker and counseling around activity data in addition to standard treatment. A caregiver of adolescents in the dyad group also received a fitness tracker. Satisfaction with the fitness tracker, fitness tracker utilization patterns, and physical activity patterns were evaluated over 3 months. ResultsA total of 88 adolescents were enrolled, with 69% (61/88) being female, 36% (32/88) black, 23% (20/88) Hispanic, and 63% (55/88) with severe obesity. Most adolescents reported that the fitness tracker was helping them meet their healthy lifestyle goals (69%) and be more motivated to achieve a healthy weight (66%). Despite this, 68% discontinued use of the fitness tracker by the end of the study. There were no significant differences between the adolescent and the dyad group in outcomes, but adolescents in the dyad group were 12.2 times more likely to discontinue using their fitness tracker if their caregiver also discontinued use of their fitness tracker (95% CI 2.4-61.6). Compared with adolescents who discontinued use of the fitness tracker during the study, adolescents who continued to use the fitness tracker recorded a higher number of daily steps in months 2 and 3 of the study (mean 5760 vs 4148 in month 2, P=.005, and mean 5942 vs 3487 in month 3, P=.002). ConclusionsDespite high levels of satisfaction with the fitness trackers, fitness tracker discontinuation rates were high, especially among adolescents whose caregivers also discontinued use of their fitness tracker. More studies are needed to determine how to sustain the use of fitness trackers among adolescents with obesity and engage caregivers in adolescent weight management interventions.

Severe obesity defined as an age- and gender-specific body mass index ≥120% of the 95th percentile in children younger than 5 years is well recognized as a significant challenge for prevention and treatment. This article provides an overview of the prevalence, classification of obesity severity, patterns of weight gain trajectory, medical and genetic risk factors, and comorbid disorders among young children with an emphasis on severe obesity. Studies suggest rapid weight gain trajectory in infancy, maternal smoking, maternal gestational diabetes, and genetic conditions are associated with an increased risk for severe obesity in early childhood. Among populations of young children with severe obesity seeking care, co-morbid conditions such as dyslipidemia and fatty liver disease are present and families report behavioral concerns and developmental delays. Children with severe obesity by age 5 represent a vulnerable population of children at high medical risk and need to be identified early and appropriately managed.

BACKGROUND AND OBJECTIVES As a distinct group, 2- to 5-year-olds with severe obesity (SO) have not been extensively described. As a part of the Expert Exchange Workgroup on Childhood Obesity, nationally-representative data were examined to better characterize children with SO. METHODS Children ages 2 to 5 (N = 7028) from NHANES (1999–2014) were classified as having normal weight, overweight, obesity, or SO (BMI ≥120% of 95th percentile). Sociodemographics, birth characteristics, screen time, total energy, and Healthy Eating Index 2010 scores were evaluated. Multinomial logistic and linear regressions were conducted, with normal weight as the referent. RESULTS The prevalence of SO was 2.1%. Children with SO had higher (unadjusted) odds of being a racial and/or ethnic minority (African American: odds ratio [OR]: 1.7; Hispanic: OR: 2.3). They were from households with lower educational attainment (OR: 2.4), that were single-parent headed (OR: 2.0), and that were in poverty (OR: 2.1). Having never been breastfed was associated with increased odds of obesity (OR: 1.5) and higher odds of SO (OR: 1.9). Odds of >4 hours of screen time were 1.5 and 2.0 for children with obesity and SO. Energy intake and Healthy Eating Index 2010 scores were not significantly different in children with SO. CONCLUSIONS Children ages 2 to 5 with SO appear to be more likely to be of a racial and/or ethnic minority and have greater disparities in social determinants of health than their peers and are more than twice as likely to engage in double the recommended screen time limit.

Supplemental Material, jchc-2017-0208-File011 for Integrating childhood obesity resources into the patient-centered medical home: Provider perspectives in the United States by Samareh G Hill, Thao-Ly T Phan, George A Datto, Jobayer Hossain, Lloyd N Werk, and Diane Abatemarco in Journal of Child Health Care

BACKGROUND AND OBJECTIVES: As a distinct group, 2- to 5-year-olds with severe obesity (SO) have not been extensively described. As a part of the Expert Exchange Workgroup on Childhood Obesity, nationally-representative data were examined to better characterize children with SO. METHODS: Children ages 2 to 5 (N = 7028) from NHANES (1999–2014) were classified as having normal weight, overweight, obesity, or SO (BMI ≥120% of 95th percentile). Sociodemographics, birth characteristics, screen time, total energy, and Healthy Eating Index 2010 scores were evaluated. Multinomial logistic and linear regressions were conducted, with normal weight as the referent. RESULTS: The prevalence of SO was 2.1%. Children with SO had higher (unadjusted) odds of being a racial and/or ethnic minority (African American: odds ratio [OR]: 1.7; Hispanic: OR: 2.3). They were from households with lower educational attainment (OR: 2.4), that were single-parent headed (OR: 2.0), and that were in poverty (OR: 2.1). Having never been breastfed was associated with increased odds of obesity (OR: 1.5) and higher odds of SO (OR: 1.9). Odds of >4 hours of screen time were 1.5 and 2.0 for children with obesity and SO. Energy intake and Healthy Eating Index 2010 scores were not significantly different in children with SO. CONCLUSIONS: Children ages 2 to 5 with SO appear to be more likely to be of a racial and/or ethnic minority and have greater disparities in social determinants of health than their peers and are more than twice as likely to engage in double the recommended screen time limit.

OBJECTIVE To evaluate the association between the frequency of visits and glycated hemoglobin (GHb) measurements on glycemic control in youth with type 1 diabetes. RESEARCH DESIGN AND METHODS A retrospective longitudinal cohort study of 1,449 youth with type 1 diabetes (mean age 11.4 years, 50% female, 74% Caucasian, 24% with Medicaid) followed at five pediatric endocrinology clinics from the years 2008–2011 was conducted. By hierarchical cluster analysis, three homogeneous groups of patients were generated: those with a relative increase in GHb (worsened [n = 237]), no change in GHb (stable [n = 842]), and a decrease in GHb (improved [n = 370]) over the study period. The number of visits and GHb measurements per year were compared among the three groups by multinomial logistic regression analysis using one visit or GHb test per year as a reference and controlling for patient demographic and baseline characteristics. RESULTS Patients with quarterly visits were least likely to have worsened glycemic control (odds ratio 0.33, P < 0.05) and were most likely to have improved glycemic control (3.48, P < 0.01). Patients with four GHb tests a year (0.53, P < 0.05) were least likely to have worsened glycemic control. CONCLUSIONS Quarterly visits and GHb testing are associated with glycemic control in youth with type 1 diabetes.

The use of bariatric surgery as treatment for morbid obesity in adolescents has nearly tripled in recent years. Intelligence is an important component to a patient's assent of surgery and maintenance of a healthy lifestyle. The objective of this study was to describe the intelligence testing performance of a cohort of adolescents seeking laparoscopic adjustable gastric banding (LAGB). Twenty-nine patients (93% female, 62% white) with a mean age of 16 years and mean body mass index (BMI) of 49 kg/m(2) were enrolled in an adolescent bariatric program in the United States.We conducted a cross-sectional analysis, evaluating patient intelligence at a single preoperative time point using the Weschler Intelligence Scale for Children-IV or Weschler Adult Intelligence Scale-IV. Intelligence quotient (IQ) scores were analyzed descriptively and in relationship to patient anthropometric measurements and characteristics.Mean IQ was average for age (95, SD 16), although 21% of patients had an IQ80 and no patients had an IQ120. There was no significant association between IQ and BMI, weight, or waist circumference. Mean IQ was lower in patients who had failed a grade compared with those who had not failed a grade (P.01) and in patients whose parents had not graduated college compared with those whose parents had (P.05).In our cohort of adolescents seeking LAGB, mean IQ was average for age, suggesting capability to understand the procedure and healthy lifestyle concepts. Patients who exhibit deficits in intellect prior to surgery may benefit from educational resources and clinician support tailored to their reasoning abilities.

Background Noncompletion of preoperative bariatric programs is a significant problem among adolescents. Adult studies suggest that psychological factors contribute to noncompletion of preoperative bariatric programs. Objective The aim of this study was to determine the association between adolescent psychological functioning and completion of the preoperative phase of a bariatric program. Setting The study was conducted at a tertiary care children's hospital affiliated with a university medical center. Methods Seventy-four adolescents and their parents completed an assessment measure of psychological functioning with the Behavior Assessment System for Children, Second Edition. We compared these scores between adolescents who completed the preoperative phase of the bariatric program and proceeded to surgery (completers) to those who did not (noncompleters) using multivariate analysis of covariance and logistic regression analyses, adjusting for demographic characteristics and baseline body mass index. Results The mean age was 16.0 (1.1) years, most were female (79.8%), and the group was diverse (48.6%, Caucasian; 33.8%, black; 17.6%, other, including Hispanic, Asian, and biracial). Average body mass index was 50.5 (7.6) kg/m 2 . Forty-two percent of participants were noncompleters. Noncompleters were reported by parents to have more clinically significant externalizing and internalizing behaviors and fewer adaptive behaviors. Noncompleters self-reported more clinically significant internalizing symptoms, emotional problems, and poor personal adjustment. Conclusion Adolescents who did not complete the preoperative phase of a bariatric surgery program had more clinically significant psychological symptoms across multiple domains compared with those who successfully proceeded to bariatric surgery. Early identification and treatment of psychological symptoms may be important in helping adolescents successfully proceed to surgery.

Objective To describe ethnic disparities in parental confidence managing child weight-related behaviors. Methods This was a cross-sectional survey of 59 parents of children with obesity between 4 and 7 years of age presenting to a tertiary care pediatric weight management clinic. Parents completed a validated measure assessing their confidence managing their child's weight-related behaviors (parent confidence score). Student's t -tests and linear regression analyses were used to determine parent and child characteristics associated with parent confidence score. Results Families were ethnically diverse with half being of Hispanic ethnicity. Mean parent confidence score was 159 (SD 66) with 71% of parents with parent confidence scores below the clinical cut-off for the measure. Parent confidence score was lower among Hispanic (mean 133, SD 67) compared to non-Hispanic parents (mean 184, SD 55, p β =−0.39, p =0.002, adjusted R 2 =0.14). Conclusion Parental confidence managing weight-related behaviors was low among parents of young obese children, especially those of Hispanic ethnicity. Practice implications This study highlights the need to assess parental confidence in managing weight-related behaviors as part of pediatric obesity care and to provide counseling to improve parental management of weight-related behaviors in a culturally-appropriate manner.

Background. Rates of body mass index (BMI) calculation and plotting remain low. We examined whether providing a BMI wheel and brief education to pediatric residents and attendings would increase rates of “BMI recognition” and obesity-related counseling. Methods. A delayed-control design was used to evaluate a 20-minute intervention. A total of 1640 records of well-child visits were reviewed to determine the proportion of records in which BMI was calculated and plotted and counseling provided. Results. In clinic A, there was a significant increase in the proportion of records in which BMI was recognized from pre- to postintervention ( P < .01). No changes in clinic B occurred until after the delayed intervention. Obesity-related counseling was more likely to occur if BMI was recognized. Conclusion. Brief education and BMI wheel increased rates of BMI recognition. BMI recognition was associated with increased obesity management. Additional efforts should be incorporated to further increase BMI recognition and assist providers in treating these children.

Predicting weight loss after laparoscopic adjustable gastric banding (LAGB) from preoperative factors has been challenging. This study aimed to determine the relationship between weight loss from a preoperative low-calorie meal replacement diet (LCMRD) and weight loss after LAGB in a cohort of morbidly obese adolescents. Fifty-one subjects (86 % female, 61 % Caucasian, mean age 16 years, mean weight 140.1 kg) received 2 weeks of LCMRD prior to LAGB. We utilized Pearson’s correlation coefficients to test the relationship between weight loss on a LCMRD and weight loss at 3, 6, and 12 months after LAGB. Mean weight loss was 5.7 kg (standard deviation (SD) 2.5) during the LCMRD period and 17.4 kg (SD 12.4) at 1 year postoperatively. Having a higher baseline weight (p