Implementation of recommended treatment for children in weight management programs: Lessons from the stay in treatment study sites.

OBJECTIVES: Pediatric obesity remains a public health crisis in the United States, exacerbated by the COVID-19 pandemic. There are recommended guidelines for multidisciplinary care, but they remain challenging to implement, even in tertiary care weight management programs. The aim of this analysis is to describe the implementation of these recommendations among four pediatric weight management programs in the United States. METHODS: This report capitalizes on a convenience sample of programs participating in the Stay In Treatment (SIT) Study, a multicenter study to address attrition among pediatric weight management programs in tertiary care, academic institutions in diverse geographic locations. The programs were compared regarding structure, program offerings, and funding support. RESULTS: The four programs were interdisciplinary, offered individual and group treatment options, and were family-based. A range of clinicians provided interventions with nutrition, physical activity, behavioral and psychosocial components. Anti-obesity pharmacotherapy and bariatric surgery were offered, when appropriate. None of the programs were self-sustaining; they required institutional and philanthropic support to provide recommended, comprehensive treatment. CONCLUSIONS: Ongoing state and national advocacy are needed in the US to create consistent coverage for private and public insurance plans, so that high-risk children can have access to recommended treatment.

Understanding risk and causal mechanisms for developing obesity in infants and young children: A National Institutes of Health workshop.

Obesity in children remains a major public health problem, with the current prevalence in youth ages 2-19 years estimated to be 19.7%. Despite progress in identifying risk factors, current models do not accurately predict development of obesity in early childhood. There is also substantial individual variability in response to a given intervention that is not well understood. On April 29-30, 2021, the National Institutes of Health convened a virtual workshop on "Understanding Risk and Causal Mechanisms for Developing Obesity in Infants and Young Children." The workshop brought together scientists from diverse disciplines to discuss (1) what is known regarding epidemiology and underlying biological and behavioral mechanisms for rapid weight gain and development of obesity and (2) what new approaches can improve risk prediction and gain novel insights into causes of obesity in early life. Participants identified gaps and opportunities for future research to advance understanding of risk and underlying mechanisms for development of obesity in early life. It was emphasized that future studies will require multi-disciplinary efforts across basic, behavioral, and clinical sciences. An exposome framework is needed to elucidate how behavioral, biological, and environmental risk factors interact. Use of novel statistical methods may provide greater insights into causal mechanisms.

Patient-Reported Outcomes to Describe Global Health and Family Relationships in Pediatric Weight Management.

Background: Patient-reported outcomes (PROs) can assess chronic health. The study aims were to pilot a survey through the PEDSnet Healthy Weight Network (HWN), collecting PROs in tertiary care pediatric weight management programs (PWMP) in the United States, and demonstrate that a 50% enrollment rate was feasible; describe PROs in this population; and explore the relationship between child/family characteristics and PROs. Methods: Participants included 12- to 18-year-old patients and parents of 5- to 18-year-olds receiving care at PWMP in eight HWN sites. Patient-Reported Outcomes Measurement Information System (PROMIS®) measures assessed global health (GH), fatigue, stress, and family relationships (FR). T-score cut points defined poor GH or FR or severe fatigue or stress. Generalized estimating equations explored relationships between patient/family characteristics and PROMIS measures. Results: Overall, 63% of eligible parents and 52% of eligible children enrolled. Seven sites achieved the goal enrollment for parents and four for children. Participants included 1447 children. By self-report, 44.6% reported poor GH, 8.6% poor FR, 9.3% severe fatigue, and 7.6% severe stress. Multiple-parent household was associated with lower odds of poor GH by parent proxy report [adjusted odds ratio (aOR) 0.69, 95% confidence interval (CI) 0.55-0.88] and poor FR by self-report (aOR 0.36, 95% CI 0.17-0.74). Parents were significantly more likely to report that the child had poor GH and poor FR when a child had multiple households. Conclusions: PROs were feasibly assessed across the HWN, although implementation varied by site. Nearly half of the children seeking care in PWMP reported poor GH, and family context may play a role. Future work may build on this pilot to show how PROs can inform clinical care in PWMP.

Family-Based Behavioral Treatment for Childhood Obesity Implemented in Pediatric Primary Care: A Randomized Clinical Trial.

Importance: Intensive behavioral interventions for childhood overweight and obesity are recommended by national guidelines, but are currently offered primarily in specialty clinics. Evidence is lacking on their effectiveness in pediatric primary care settings. Objective: To evaluate the effects of family-based treatment for overweight or obesity implemented in pediatric primary care on children and their parents and siblings. Design, Setting, and Participants: This randomized clinical trial in 4 US settings enrolled 452 children aged 6 to 12 years with overweight or obesity, their parents, and 106 siblings. Participants were assigned to undergo family-based treatment or usual care and were followed up for 24 months. The trial was conducted from November 2017 through August 2021. Interventions: Family-based treatment used a variety of behavioral techniques to develop healthy eating, physical activity, and parenting behaviors within families. The treatment goal was 26 sessions over a 24-month period with a coach trained in behavior change methods; the number of sessions was individualized based on family progress. Main Outcomes and Measures: The primary outcome was the child's change from baseline to 24 months in the percentage above the median body mass index (BMI) in the general US population normalized for age and sex. Secondary outcomes were the changes in this measure for siblings and in BMI for parents. Results: Among 452 enrolled child-parent dyads, 226 were randomized to undergo family-based treatment and 226 to undergo usual care (child mean [SD] age, 9.8 [1.9] years; 53% female; mean percentage above median BMI, 59.4% [n = 27.0]; 153 [27.2%] were Black and 258 [57.1%] were White); 106 siblings were included. At 24 months, children receiving family-based treatment had better weight outcomes than those receiving usual care based on the difference in change in percentage above median BMI (-6.21% [95% CI, -10.14% to -2.29%]). Longitudinal growth models found that children, parents, and siblings undergoing family-based treatment all had outcomes superior to usual care that were evident at 6 months and maintained through 24 months (0- to 24-month changes in percentage above median BMI for family-based treatment and usual care were 0.00% [95% CI, -2.20% to 2.20%] vs 6.48% [95% CI, 4.35%-8.61%] for children; -1.05% [95% CI, -3.79% to 1.69%] vs 2.92% [95% CI, 0.58%-5.26%] for parents; and 0.03% [95% CI, -3.03% to 3.10%] vs 5.35% [95% CI, 2.70%-8.00%] for siblings). Conclusions and Relevance: Family-based treatment for childhood overweight and obesity was successfully implemented in pediatric primary care settings and led to improved weight outcomes over 24 months for children and parents. Siblings who were not directly treated also had improved weight outcomes, suggesting that this treatment may offer a novel approach for families with multiple children. Trial Registration: ClinicalTrials.gov Identifier: NCT02873715.

Utilization of an Enhanced Recovery After Surgery (ERAS) protocol for pediatric metabolic and bariatric surgery.

INTRODUCTION: Enhanced recovery after surgery (ERAS) protocols for pediatric metabolic and bariatric surgery are limited. In 2018, an ERAS protocol for patients undergoing robotically assisted vertical sleeve gastrectomy (r-VSG) was instituted. This study's aim was to compare outcomes before and after ERAS initiation. METHODS: A single institution retrospective review of patients undergoing r-VSG from July 2015 to July 2021 was performed. The multimodal ERAS protocol focused on limiting post-operative nausea and narcotic utilization. Subjects were categorized into non-ERAS (July 2015-July 2018) and ERAS (August 2018-July 2021) groups. In-hospital and 30-day outcomes were compared. RESULTS: 110 subjects (94 females) with a median age of 17.6 years (range 12.5-22.0 years) were included (60 non-ERAS, 50 ERAS). Demographics were similar except for a higher proportion of females in the non-ERAS group (97% vs 72%, p < 0.001). A significant decrease in narcotic use (p < 0.001) and higher utilization of acetaminophen (p < 0.001) and ketorolac (p < 0.001) was observed in the ERAS group. Additionally, median time to oral intake, a proxy for postoperative nausea and vomiting [2:00 h (1:15, 2:30) vs. 3:22 h (2:03, 6:15), p < 0.001] and hospital length of stay (LOS) [1.25 days (1.14, 1.34) vs. 2.16 days (1.48, 2.42), p < 0.001] were shorter in the ERAS group. Eleven subjects (10%; ERAS = 5, non-ERAS = 6) experienced post-discharge dehydration, prompting readmission 8 times for 7 (6%) individuals. CONCLUSION: Utilization of ERAS led to a significant decrease narcotic utilization, time to first oral intake, and hospital LOS with no change in adverse events following pediatric metabolic and bariatric surgery. Larger studies, including comparative analysis of health care utilization, should be carried out. LEVEL OF EVIDENCE: III. TYPE OF STUDY: Treatment Study.

Changes in Child Weight, Behaviors, and Family Dynamics during Parental Participation in a Medical Weight Management Program: A Longitudinal Uncontrolled Pilot Study.

Background: There is limited evidence of the effects of parental participation in outpatient medical weight management (MWM) programs on children. The aims of the project were to (1) identify time effects from parental participation in the MWM program on changes in child weight trajectories, healthy and unhealthy weight control practices, physical and sedentary activity, parental restrictive feeding and pressure to eat, and family functioning and communication and (2) determine differences based on child factors. Methods: A longitudinal uncontrolled pilot study was conducted, in which parent-child (ages 7-19) dyads completed assessments at parents' MWM program initiation, 3 months (mid-program), 6 months (end of program), and 12 months to determine sustained effects. Repeated measures analysis of variance (ANOVA) was completed using a mixed multilevel modeling approach using Restricted Maximum Likelihood estimation method; each outcome was additionally analyzed with child baseline weight status, age group, and sex as between-subjects factors. Results: Fifty three dyads met inclusion criteria, 23 completed the initial assessment (enrollment: 43.3%), and 13 completed the 12-month assessment (retention: 56.5%). Significant effects over time were observed for decreased parental restrictive feeding (p < 0.038) over 12 months, and group by time effects were observed for increased restrictive feeding for female compared to male children (p = 0.025) over 12 months. Marginally significant group by time effects were found for increased impaired family functioning (p = 0.054) and communication (p = 0.054) for children with overweight/obesity compared to healthy weight children over 12 months. Conclusions: Female children and children with overweight/obesity may experience increased negative family dynamics (restriction of food, family functioning, and communication) through parental MWM programs.

Using Systems Science for Strategic Planning of Obesity Prevention and Treatment: The Roundtable on Obesity Solutions Experience.

The sustained multi-decade increase in the prevalence of obesity calls for a new approach on addressing this public health concern. The Roundtable on Obesity Solutions (ROOS) (of the National Academies of Sciences, Engineering, and Medicine NASEM), a multisector group comprised of members from a variety of organizations and institutions, initiated a year-long effort to build a strategic plan and roadmap for action that would drive a paradigm shift for the ROOS in pursuing obesity solutions. Following a review of obesity prevention and treatment recommendations with sufficient actionable-evidence by authoritative organizations, the ROOS deployed systems science methods. Members engaged in group model building (GMB) exercises to develop an obesity systems map based on determinants and drivers from a multi-sector perspective and overlaid with aligned solutions. To expand the understanding of systems science approaches and methods, 3 public workshops were held in tandem with the development of the map. The causal map was refined, and solutions were ranked using a leverage-point framework to inform a strategic plan and narrative roadmap for action. For the ROOS, structural racism and social justice, biased mental models and social norms, and effective health communications were prioritized as the leverage points most likely to have a significant impact in addressing obesity. Complementary to the mission, vision, and guiding principles of the ROOS, the obesity systems map, and narrative roadmap will drive the ROOS activities over the next 3-6 years and serve as a resource for researchers, organizations, and institutions involved with policy, prevention, and treatment of obesity.

Change in weight category among youth early in the COVID-19 pandemic.

Remote learning and shelter-in-place orders during the COVID-19 pandemic are associated with obesity risk factors such as decreased physical activity, altered routines and sleep schedules, increased screen time, and non-nutritious food choices. The objective of this brief report is to describe change in weight category 3-6 months after the onset of the pandemic in a cohort of 4509 low-income youth. Inclusion criteria were youth aged 2-17 years with weight and height measure in a large primary care network between 1 January and 30 March 2020 (Q1), designated as pre-COVID period; and 1 June-30 September 2020, (Q3), as early-COVID period. Change in weight category was assessed between Q1 and Q3. Adjusting for visit type and time lapse, logistic regression was conducted to examine the association between weight category change and age, sex, and race/ethnicity. The proportion of youth with overweight or obesity increased from 37.8% to 44.6%; and declined by 5.6% in the healthy weight category. Over the 3-6 month period, 23.1% of youth gained ≥5 kg, 4.3% gained ≥10 kg, and 17.8% increased their BMI by ≥2 units. Among underweight youth, 45.3% switched to the healthy weight category, with a median weight gain of 2.1 kg (interquartile range [IQR] = 2.1 kg). Median weight gain was highest among those youth with severe obesity (5.8 kg, IQR = 5.2 kg). Younger age (2-9 years), female and ethnic-minority youth were more likely to change to a higher/worse weight category. Significant weight gain occurred in the first 3-6 months of the pandemic among low-income youth, reflecting the short-term effects of the pandemic.

Antibiotics prior to age 2 years have limited association with preschool growth trajectory.

BACKGROUND: Prior studies of early antibiotic use and growth have shown mixed results, primarily on cross-sectional outcomes. This study examined the effect of oral antibiotics before age 24 months on growth trajectory at age 2-5 years. METHODS: We captured oral antibiotic prescriptions and anthropometrics from electronic health records through PCORnet, for children with ≥1 height and weight at 0-12 months of age, ≥1 at 12-30 months, and ≥2 between 25 and 72 months. Prescriptions were grouped into episodes by time and by antimicrobial spectrum. Longitudinal rate regression was used to assess differences in growth rate from 25 to 72 months of age. Models were adjusted for sex, race/ethnicity, steroid use, diagnosed asthma, complex chronic conditions, and infections. RESULTS: 430,376 children from 29 health U.S. systems were included, with 58% receiving antibiotics before 24 months. Exposure to any antibiotic was associated with an average 0.7% (95% CI 0.5, 0.9, p < 0.0001) greater rate of weight gain, corresponding to 0.05 kg additional weight. The estimated effect was slightly greater for narrow-spectrum (0.8% [0.6, 1.1]) than broad-spectrum (0.6% [0.3, 0.8], p < 0.0001) drugs. There was a small dose response relationship between the number of antibiotic episodes and weight gain. CONCLUSION: Oral antibiotic use prior to 24 months of age was associated with very small changes in average growth rate at ages 2-5 years. The small effect size is unlikely to affect individual prescribing decisions, though it may reflect a biologic effect that can combine with others.

Measuring BMI change among children and adolescents.

BACKGROUND: Weight control programs for children monitor BMI changes using BMI z-scores that adjust BMI for the sex and age of the child. It is, however, uncertain if BMIz is the best metric for assessing BMI change. OBJECTIVE: To identify which of 6 BMI metrics is optimal for assessing change. We considered a metric to be optimal if its short-term variability was consistent across the entire BMI distribution. SUBJECTS: 285 643 2- to 17-year-olds with BMI measured 3 times over a 10- to 14-month period. METHODS: We summarized each metric's variability using the within-child standard deviation. RESULTS: Most metrics' initial or mean value correlated with short-term variability (|r| ~ 0.3 to 0.5). The metric for which the within-child variability was largely independent (r = 0.13) of the metric's initial or mean value was the percentage of the 50th expressed on a log scale. However, changes in this metric between the first and last visits were highly (r ≥ 0.97) correlated with changes in %95th and %50th. CONCLUSIONS: Log %50 was the metric for which the short-term variability was largely independent of a child's BMI. Changes in log %50th, %95th, and %50th are strongly correlated.

Interrelationships among age at adiposity rebound, BMI during childhood, and BMI after age 14 years in an electronic health record database.

OBJECTIVE: This study compared the importance of age at adiposity rebound versus childhood BMI to subsequent BMI levels in a longitudinal analysis. METHODS: From the electronic health records of 4.35 million children, a total of 12,228 children were selected who were examined at least once each year between ages 2 and 7 years and reexamined after age 14 years. The minimum number of examinations per child was six. Each child's rebound age was estimated using locally weighted regression (lowess), a smoothing technique. RESULTS: Children who had a rebound age < 3 years were, on average, 7 kg/m2 heavier after age 14 years than were children with a rebound age ≥ 7 years. However, BMI after age 14 years was more strongly associated with BMI at the rebound than with rebound age (r = 0.57 vs. -0.44). Furthermore, a child's BMI at age 3 years provided more information on BMI after age 14 years than did rebound age. In addition, rebound age provided no information on subsequent BMI if a child's BMI at age 6 years was known. CONCLUSIONS: Although rebound age is related to BMI after age 14 years, a child's BMI at age 3 years provides more information and is easier to obtain.

On a Different Page! Perceptions on the Onset, Diagnosis, and Management of Type 2 Diabetes Among Adolescent Patients, Parents, and Physicians.

To examine perceptions about the diagnostic process and post-diagnosis care of type 2 diabetes (T2D) from adolescent patients, parents, and diabetes care physicians, semi-structured interviews were conducted with 8 individuals from each group. Interview transcripts were coded using content analysis. Emerged categories were compared among 3 groups. Half of adolescent patients and parents were surprised by the T2D diagnosis, despite most reporting that patients experienced common symptoms of T2D prior to diagnosis. Adolescents and parents recognized diet, exercise, and weight gain as risk factors after diagnosis, whereas physicians noted weight gain as a common risk factor pre-diagnosis. All 3 groups noted the importance of maintaining a healthy lifestyle and adherence to T2D management, though physicians noted the challenges from socioeconomic structural inequalities. Adolescent and parents were surprised by the T2D diagnosis, suggesting the need for increasing awareness of risk factors and symptomatology of T2D among at-risk adolescents and parents.

Association of Early Antibiotic Exposure With Childhood Body Mass Index Trajectory Milestones.

Importance: Past studies have showed associations between antibiotic exposure and child weight outcomes. Few, however, have documented alterations to body mass index (BMI) (calculated as weight in kilograms divided by height in meters squared) trajectory milestone patterns during childhood after early-life antibiotic exposure. Objective: To examine the association of antibiotic use during the first 48 months of life with BMI trajectory milestones during childhood in a large cohort of children. Design, Setting, and Participants: This retrospective cohort study used electronic health record data from 26 institutions participating in the National Patient-Centered Clinical Research Network from January 1, 2009, to December 31, 2016. Participant inclusion required at least 1 valid set of same-day height and weight measurements at each of the following age periods: 0 to 5, 6 to 11, 12 to 23, 24 to 59, and 60 to 131 months (183 444 children). Data were analyzed from June 1, 2019, to June 30, 2020. Exposures: Antibiotic use at 0 to 5, 6 to 11, 12 to 23, 24 to 35, and 36 to 47 months of age. Main Outcomes and Measures: Age and magnitude of BMI peak and BMI rebound. Results: Of 183 444 children in the study (mean age, 3.3 years [range, 0-10.9 years]; 95 228 [51.9%] were boys; 80 043 [43.6%] were White individuals), 78.1% received any antibiotic, 51.0% had at least 1 episode of broad-spectrum antibiotic exposure, and 65.0% had at least 1 episode of narrow-spectrum antibiotic exposure at any time before 48 months of age. Exposure to any antibiotics at 0 to 5 months of age (vs no exposure) was associated with later age (ß coefficient, 0.05 months [95% CI, 0.02-0.08 months]) and higher BMI (ß coefficient, 0.09 [95% CI, 0.07-0.11]) at peak. Exposure to any antibiotics at 0 to 47 months of age (vs no exposure) was associated with an earlier age (-0.60 months [95% CI, -0.81 to -0.39 months]) and higher BMI at rebound (ß coefficient, 0.02 [95% CI, 0.01-0.03]). These associations were strongest for children with at least 4 episodes of antibiotic exposure. Effect estimates for associations with age at BMI rebound were larger for those exposed to antibiotics at 24 to 35 months of age (ß coefficient, -0.63 [95% CI, -0.83 to -0.43] months) or 36 to 47 (ß coefficient, -0.52 [95% CI, -0.72 to -0.31] months) than for those exposed at 0 to 5 months of age (ß coefficient, 0.26 [95% CI, 0.01-0.51] months) or 6 to 11 (ß coefficient, 0.00 [95% CI, -0.20 to 0.20] months). Conclusions and Relevance: In this cohort study, antibiotic exposure was associated with statistically significant, but small, differences in BMI trajectory milestones in infancy and early childhood. The small risk of an altered BMI trajectory milestone pattern associated with early-life antibiotic exposure is unlikely to be a key factor during prescription decisions for children.

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.

A Longitudinal Comparison of Alternatives to Body Mass Index Z-Scores for Children with Very High Body Mass Indexes.

OBJECTIVE: 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. STUDY DESIGN: 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. RESULTS: 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. CONCLUSIONS: 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 of <95th 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.

Studying pediatric health outcomes with electronic health records using Bayesian clustering and trajectory analysis.

Use of routinely collected data from electronic health records (EHR) can expedite longitudinal studies that investigate childhood exposures and rare pediatric health outcomes. For instance, characteristics of the body mass index (BMI) trajectory early in life may be associated with subsequent development of type 2 diabetes. Past studies investigating these relationships have used longitudinal cohort data collected over the course of many years to investigate the connection between BMI trajectory and subsequent development of diabetes. In contrast, EHR data from routine clinical care can provide longitudinal information on early-life BMI trajectories as well as subsequent health outcomes without requiring any additional data collection. In this study, we introduce a Bayesian joint phenotyping and BMI trajectory model to address data quality challenges in an EHR-based study of early-life BMI and type 2 diabetes in adolescence. We compared this joint modeling approach to traditional approaches using a computable phenotype for type 2 diabetes or separately estimated BMI trajectories and type 2 diabetes phenotypes. In a sample of 49,062 children derived from the PEDSnet consortium of pediatric healthcare systems, a median 8 (interquartile range [IQR] 5-13) BMI measurements were available to characterize the early-life BMI trajectory. The joint modeling and computable phenotype approaches found that age at adiposity rebound between 5 and 9 years was associated with higher odds of type 2 diabetes in adolescence compared to age at adiposity rebound between 2 and 5 years (joint model odds ratio [OR] = 1.77; computable phenotype OR = 1.88) and that BMI in excess of 140% of the 95th percentile for age and sex at age 9 years was associated with higher odds of type 2 diabetes in adolescence relative to children with BMI from 100 to 120% of the 95th percentile (joint model OR = 6.22; computable phenotype OR = 13.25). Estimates from the separate phenotyping and trajectory model were substantially attenuated towards the null. These results demonstrate that EHR data coupled with modern methodologic approaches can improve efficiency and timeliness of studies of childhood exposures and rare health outcomes.

Early Life Antibiotic Prescriptions and Weight Outcomes in Children 10 Years of Age.

OBJECTIVE: We previously found that antibiotic use at <24 months of age was associated with slightly higher body weight at 5 years of age. In this study, we examine associations of early life antibiotic prescriptions with weight outcomes at 108 to 132 months of age ("10 years"). METHODS: We used electronic health record data from 2009 through 2016 from 10 health systems in PCORnet, a national distributed clinical research network. We examined associations of any (vs no) antibiotics at <24 months of age with body mass index z-score (BMI-z) at 10 years adjusted for confounders selected a priori. We further examined dose response (number of antibiotic episodes) and antibiotic spectrum (narrow and broad). RESULTS: Among 56,727 included children, 57% received any antibiotics at <24 months; at 10 years, mean (standard deviation) BMI-z was 0.54 (1.14), and 36% had overweight or obesity. Any versus no antibiotic use at <24 months was associated with a slightly higher BMI-z at 10 years among children without a complex chronic condition (ß 0.03; 95% confidence interval [CI] 0.01, 0.05) or with a complex chronic condition (ß 0.09; 95% CI 0.03, 0.15). Any versus no antibiotic use was not associated with odds of overweight or obesity at 10 years among children without (odds ratio 1.02; 95% CI 0.97, 1.07) or with a complex chronic condition (odds ratio 1.07; 95% CI 0.96, 1.19). CONCLUSIONS: The small and likely clinically insignificant associations in this study are consistent with our previous 5-year follow-up results, suggesting that, if this relationship is indeed causal, early increases in weight are small but maintained over time.

Diagnostic and treatment challenges of eating disorders after adolescent bariatric surgery: A case report.

It is increasingly evident that bariatric surgery is an effective treatment option to manage severe obesity and its comorbidities in adolescent patients. This case report follows an adolescent who developed a restrictive eating disorder within months after bariatric surgery. Identifying and treating eating disorders after bariatric surgery can be difficult due to the conflicting goals of weight loss after surgery and weight gain in treatment of a restrictive eating disorder. Moreover, treating older adolescents can be challenging when they refuse treatment or go against medical advice. As more adolescents choose bariatric surgery, it is imperative that clinicians remain sensitive to weight-related outcomes, possible eating disorders and adolescent autonomy. Early collaboration between weight management and eating disorder programs is essential.