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.

Dietary Patterns and Their Association with Cardiometabolic Biomarkers and Outcomes among Hispanic Adults: A Cross-Sectional Study from the National Health and Nutrition Examination Survey (2013-2018).

Cardiovascular disease and metabolic disorders are disproportionately prevalent among Hispanic and Latino adults in the United States. We extracted a posteriori dietary patterns (DPs) among a nationally representative sample of 2049 Hispanic adults using the 2013-2018 National Health and Nutrition Examination Survey. Three primary DPs and their tertiles were identified, and their associations with cardiometabolic outcomes were examined. Those with higher levels of the Solids Fats, Cheeses, Refined Carbohydrates DP were more likely younger, male, and Mexican American. Those with higher levels of the Vegetables DP were more likely female, higher income, and long-term immigrant residents. Those with higher levels of The Plant-Based DP tended to have higher education levels. Higher levels of the Solid Fats, Cheeses, Refined Carbohydrates DP level were positively associated with body mass index (Tertile 2, ß: 1.07 [95%CI: 0.14, 1.99]) and negatively associated with lower high-density lipoprotein cholesterol (HDL-C) levels (Tertile 3, ß: -4.53 [95%CI: -7.03, -2.03]). Higher levels of adherence to the Vegetables DP were negatively associated with body fat (Tertile 3, ß: -1.57 [95%CI: -2.74, -0.39]) but also HDL-C (Tertile 2, ß: -2.62 [95%CI: -4.79, -0.47]). The Plant-Based DP showed no associations with cardiometabolic outcomes. Future research and interventions should consider these associations as well as the sociodemographic differences within each DP.

A WIC-Based Behavior Change Intervention for Postpartum Women With Overweight and Obesity: A Pilot Feasibility Randomized Trial.

Background. Postpartum weight retention is a risk factor for obesity and is particularly important among Hispanic women who have an increased rate of obesity. Given its broad reach, the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) program provides an ideal setting to implement community-based interventions for low-income postpartum women. Purpose. To examine the feasibility, acceptability, and preliminary efficacy of a multicomponent intervention delivered by staff within the WIC program designed to promote behavior changes in urban, postpartum women with overweight/obesity. Method. This was a 12-week pilot trial randomizing participants to a health behavior change (Intervention) or control (Observation) group. The Intervention included monthly visits with trained WIC staff providing patient-centered behavior change counseling, with multiple touchpoints between visits promoting self-monitoring and offering health behavior change support. Results. Participants (n = 41), who were mainly Hispanic (n = 37, 90%) and Spanish-speaking (n = 33, 81%), were randomized to the Intervention (n = 19) or Observation (n = 22) group. In the Intervention group, 79% (n = 15) of eligible participants were retained for the study duration. All Intervention participants endorsed that they would participate again. Regarding physical activity, participant readiness to change and self-efficacy improved for Intervention participants. About one-quarter of women in the Intervention group (27%, n = 4) had a 5% weight loss compared with one woman (5%) in the Observation group; this difference was not statistically significant (p = .10). Conclusions. This pilot demonstrated the feasibility and acceptability of delivering a low-intensity behavior change intervention within the WIC setting for postpartum women with overweight/obesity. Findings support the role of WIC in addressing postpartum obesity.

Novel clinical algorithm for hypothalamic obesity in youth with brain tumours and factors associated with excess weight gain.

BACKGROUND: A standardized approach for identifying and treating hypothalamic obesity (HO) in children with hypothalamic tumours is lacking. OBJECTIVES: To describe children with hypothalamic tumours at risk for obesity, assess outcomes of a novel HO clinical algorithm, and identify factors associated with weight gain. METHODS: Retrospective analysis of youth with hypothalamic and suprasellar tumours, seen at a paediatric tertiary care centre from 2010 to 2020. RESULTS: The study cohort (n = 130, 50% female, median age at diagnosis 5 [range 0-17]y) had a median duration of follow up of 5 (0.03-17)y. At last recorded body mass index (BMI) measurement, 34% had obesity, including 17% with severe obesity. Median onset of overweight and obesity after diagnosis was 6.2 (0.3-134) and 8.9 (0.7-65) months, respectively. After algorithm implementation (n = 13), the proportion that had an early dietitian visit (within 6 months) increased from 36% to 54%, (p = 0.498) and weight management referrals increased from 51% to 83% (p = 0.286). Higher BMI z-score at diagnosis was associated with overweight and obesity development (p < 0.001). CONCLUSION: Patients with hypothalamic tumours commonly develop obesity. Use of a clinical algorithm may expedite recognition of HO. Further research is needed to identify predictors of weight gain and to develop effective treatment.

The Childhood Obesity Data Initiative: A Case Study in Implementing Clinical-Community Infrastructure Enhancements to Support Health Services Research and Public Health.

CONTEXT: We describe a participatory framework that enhanced and implemented innovative changes to an existing distributed health data network (DHDN) infrastructure to support linkage across sectors and systems. Our processes and lessons learned provide a potential framework for other multidisciplinary infrastructure development projects that engage in a participatory decision-making process. PROGRAM: The Childhood Obesity Data Initiative (CODI) provides a potential framework for local and national stakeholders with public health, clinical, health services research, community intervention, and information technology expertise to collaboratively develop a DHDN infrastructure that enhances data capacity for patient-centered outcomes research and public health surveillance. CODI utilizes a participatory approach to guide decision making among clinical and community partners. IMPLEMENTATION: CODI's multidisciplinary group of public health and clinical scientists and information technology experts collectively defined key components of CODI's infrastructure and selected and enhanced existing tools and data models. We conducted a pilot implementation with 3 health care systems and 2 community partners in the greater Denver Metro Area during 2018-2020. EVALUATION: We developed an evaluation plan based primarily on the Good Evaluation Practice in Health Informatics guideline. An independent third party implemented the evaluation plan for the CODI development phase by conducting interviews to identify lessons learned from the participatory decision-making processes. DISCUSSION: We demonstrate the feasibility of rapid innovation based upon an iterative and collaborative process and existing infrastructure. Collaborative engagement of stakeholders early and iteratively was critical to ensure a common understanding of the research and project objectives, current state of technological capacity, intended use, and the desired future state of CODI architecture. Integration of community partners' data with clinical data may require the use of a trusted third party's infrastructure. Lessons learned from our process may help others develop or improve similar DHDNs.

Lifestyle and pharmacologic management before and after bariatric surgery.

As metabolic and bariatric surgery (MBS) increasingly becomes a treatment of choice for adolescents with severe obesity, there is a need to understand how to deliver pre- and postoperative care in ways that maximize long-term safety and efficacy. This article describes major pre- and postoperative goals, lifestyle modification targets, and, when necessary, pharmacologic management strategies for adolescents undergoing MBS. Three categories of evidence were used-studies of pre- and postoperative interventions and factors influencing MBS outcomes in adolescents, studies of pre- and postoperative associations and interventions in adults, and studies of non-surgical weight management applicable to adolescents pursuing MBS. Finally, priority areas for future research within this topic are identified.

Does Tonsillectomy Increase Obesity Risk in Children with Down Syndrome?

OBJECTIVES: To examine weight changes relative to surgical success in children with Down syndrome and obstructive sleep apnea (OSA). STUDY DESIGN: Retrospective chart review of children with Down syndrome undergoing tonsillectomy from 2005 to 2016 for OSA at a tertiary care children's hospital. Only patients with pre-and postoperative polysomnogram within 6 months of tonsillectomy were included. Demographics, weight, height, and polysomnogram data were collected. Body mass index (BMI), expressed as a percentage of the 95th percentile (%BMIp95), was calculated for 24 months prior to and following surgery. Pre-and postoperative OSA severity were also recorded. The postoperative obstructive/hypopnea index identified subjects with resolution of obstruction (obstructive/hypopnea index <2 events/hour) or persistent mild/moderate/severe obstructive apnea. Regression analyses were used to compare %BMIp95 pre- and post-tonsillectomy with %BMIp95 by OSA status following tonsillectomy. RESULTS: A total of 78 patients with Down syndrome whose mean age was 5.29 years at time of tonsillectomy were identified. There was no difference between best-fit curves of %BMI p95 pre-and post-tonsillectomy. There was no difference between best-fit curves of %BMI p95 in patients who saw resolution of OSA after tonsillectomy vs patients with residual OSA. CONCLUSIONS: Tonsillectomy neither alters the BMI trajectory of children with Down syndrome, nor changes differentially the risk for obesity in children whose OSA did or did not resolve after surgery.

Enhancing Periconceptional Health by Targeting Postpartum Mothers at Rural WIC Clinics.

The overall goal of this pilot quality improvement (QI) intervention was to (1) assess the feasibility of making a WIC (Women, Infants, and Children) systems-level change that added measurement of maternal weight and discussion of maternal health habits into each postpartum maternal and offspring visit in rural clinics in Colorado and (2) assess the impacts of the intervention on maternal diet, physical activity, and weight status. A mixed-method evaluation approach was used involving the collection of quantitative data (HeartSmartMoms usage reports, manual WIC chart reviews [to calculate screening rates], pre-/postsurveys, and weight status [body mass index]) and qualitative data (focus groups and project team meeting minutes). It was determined it is feasible to make a short-term systems-level change; however, many barriers were encountered in doing so, and the results were not sustained. The QI intervention did decrease participants' daily consumption of sugar-sweetened beverages and maternal weight status (controlling for maternal age and language), but did not improve any other eating/physical activity behaviors. Lessons learned and recommendations to improve the implementation of health promotion interventions aimed at improving postpartum maternal health, which can increase health during the periconceptional phase, and in turn, improve the health outcomes for a child, are discussed.

Preventing Underfeeding and Overfeeding: A Clinician's Guide to the Acquisition and Implementation of Indirect Calorimetry.

BACKGROUND: In critically ill patients, indirect calorimetry (IC) is the gold standard to determine energy needs, as the use of predictive equations can result in underfeeding or overfeeding. The aim of this quality improvement (QI) initiative was to describe the rationale for and implementation of a process to target energy provision according to IC measurements in a tertiary academic medical center pediatric intensive care unit (PICU). MATERIALS AND METHODS: To justify the purchase of an indirect calorimeter for clinical use, a needs assessment was conducted, followed by a training and implementation period. PICU patients were selected for IC according to published guidelines. Measured energy expenditure was compared with predicted energy expenditure and the provided energy prescription. The dietitians assessed IC results and adjusted energy prescriptions, if indicated. RESULTS: Thirty-five total tests were completed with 24 patients. Sixty-nine percent of measurements resulted in energy delivery adjustments. Fifteen (47%) energy prescriptions decreased by a mean of 27% ± 11%, and 7 (22%) increased by a mean of 17% ± 15%. Staff and patient/guardians accommodated the use of IC, and PICU dietitian recommendations for IC tests and to adjust nutrition regimens were universally implemented. CONCLUSIONS: Data to support the procurement of IC are vital to promote best practice to measure energy expenditure. Critically ill pediatric patients exhibit metabolic alterations that cannot be predicted by standard equations. Our QI initiative demonstrated the implementation and application of IC in the critically ill population and the ability to target energy provision to prevent energy imbalances.

A randomized, home-based, childhood obesity intervention delivered by patient navigators.

BACKGROUND: Although Colorado is perceived as a healthy state, in 2010, 14.1 % of children aged 2-5 were overweight and 9.1 % were obese. Despite the high prevalence of obesity in this population, evidence to support particular strategies to treat obese preschoolers is lacking. The efficacy of home-based, childhood obesity interventions to reduce a child's body mass index is inconclusive. However, this model uniquely provides an opportunity to observe and intervene with the home food and activity environment and engage the entire family in promoting changes that fit each family's unique dynamics. METHODS/DESIGN: Eligible participants are children aged 2-5 years who attended a well-child care visit at a Denver Health Community Health Service clinic within 12 months prior to recruitment and on that visit had a body mass index (BMI) >85th percentile-for-age. Participants are randomly recruited at study inception and allocated to the intervention in one of five defined 6-month stepped wedge engagements; the delayed intervention groups serves as control groups until the start of the intervention. The program is delivered by a patient navigator at the family' home and consists of a 16-session curriculum focused on 1) parenting styles, 2) nutrition, and 3) physical activity. At each visit, a portion of curriculum is delivered to guide parents and children in selecting one goal for behavior change in each of three work areas to work on during the following week. The primary study outcome measure is change in BMI z-score from baseline to post-intervention period. DISCUSSION: This childhood obesity study, innovative for its home-based intervention venue, provides rich data characterizing barriers and facilitators to healthy behavior change within the home. The study population is innovative as it is focused on preschool-aged, Latino children from low-income families; this population has not typically been targeted in obesity management assessments. The home-based intervention is linked to clinical care through update letters and assessment of the program's impact to the child's medical providers. Informing primary care providers about a child's accomplishments and challenges, allows the clinician to support the health weight effort when seeing families during subsequent clinical visits. TRIAL REGISTRATION: ClinicalTrials.gov NCT02024360 Registered December 21, 2013.

Population-level obesity surveillance: monitoring childhood body mass index z-score in a safety-net system.

OBJECTIVE: To determine the utility of repeated patient-level body mass index (BMI) measurements among higher-risk patients seen at safety-net clinics as a community-level monitoring tool for overweight and obesity population trends. METHODS: Data from a network of urban, federally qualified community health centers with computerized tracking of BMI at sequential outpatient visits were analyzed. We performed a longitudinal observational study over 8 years (2005-2012) with children stratified by weight status groups on the basis of BMI. Changes in BMI z-scores were used to estimate population trends among children 2 to 11 years old, with at least 2 visits (at least 1 year apart), for whom weight and height were measured. RESULTS: Among children (n = 33,542), the rate of overweight was 16% and rate of obesity was 18% at their last visit. Children were followed for an average of 3.24 ± 1.76 years to measure trends and change in weight status from earlier to later childhood. Children who were obese at first visit had increased odds (adjusted odds ratio 27.8, 95% confidence interval 25.6-30.2) of being obese by last visit. Mean change in BMI z-score per person-year of observation was 0.10 ± 0.38, with a differing rate of change based on weight status category at last visit (not overweight = 0.06 ± 0.39; overweight = 0.17 ± 0.34; obese = 0.19 ± 0.36). Change in BMI z-score per person-year decreased for 40% of obese children; however, their weight status group remained unchanged. CONCLUSIONS: Childhood obesity prevalence was high, with substantial progression to overweight and obesity from first to last visit. Clinically derived BMI z-score per person-year measures can effectively show population trends not observed using standard weight status categories.

School-based health center-based treatment for obese adolescents: feasibility and body mass index effects.

BACKGROUND: School-based health centers (SBHCs) may be an ideal setting to address obesity in adolescents because they provide increased access to a traditionally difficult-to-reach population. The study evaluated the feasibility of adding a health educator (HE) to SBHC teams to provide support and increase the delivery of preventive services for overweight or obese adolescents. METHODS: Adolescents with BMI ≥85% recruited from two SBHCs were randomized to a control group (CG) or an intervention group (IG). Both groups received preventive services, including physical examinations and laboratory screening in the SBHC. The educator met with the IG during the academic year, utilizing motivational interviewing techniques to set lifestyle goals. Text messaging was used to reinforce goals between visits. RESULTS: Eighty-two students (15.7±1.5 years of age; BMI, 31.9±6.2 kg/m(2)) were enrolled in the IG and 83 in the control group (16.0±1.5 years of age; BMI, 31.6±6.5 kg/m(2)). Retention was 94% in the IG and 87% in the CG. A total of 54.5% of the IG and 72.2% of the CG decreased or maintained BMI z-score (less than 0.05 increase; p=0.025). Sports participation was higher in the CG (47% vs. 28% in the IG; p=0.02). Mean BMI z-score change was -0.05±0.2 for students participating in sports vs. 0.01±0.2 for those not (p=0.09). CONCLUSIONS: This SBHC intervention showed successful recruitment and retention of participants and delivery of preventive services in both groups. Meeting with an HE did not improve BMI outcomes in the IG. Confounding factors, including sports participation and SBHC utilization, likely contributed to BMI outcomes.

What can providers learn from childhood body mass index trajectories: a study of a large, safety-net clinical population.

OBJECTIVE: To describe childhood weight gain using body mass index (BMI) z-score trajectories in a low-income urban safety-net population and identify among gender- and race/ethnicity-specific groups any trends for increased risk. METHODS: A retrospective cohort study was conducted among 2- to 12-year-old patients (2006-2013) visiting a safety-net provider. BMI z-score trajectories were calculated overall, for gender- and race/ethnicity-specific groups, and for peak BMI percentile subgroups to describe weight gain longitudinally. RESULTS: From 2006 to 2013, a total of 26,234 eligible children were followed for an average of 3.7 years. At baseline (mean age, 4.2 years), 74% of patients were at a normal weight compared to 65% at most recent observation (mean age, 7.8 years). All gender and race/ethnicity subgroups showed increasing average BMI z-scores during childhood. Children consistently under the 50th percentile and those of white race had the most stable BMI z-score trajectories. BMI z-score increased with increasing age in all subgroups. Hispanic boys and black girls had the most significant increase in BMI z-score during this observation period. Children observed in early childhood and whose BMI exceeded the 95th percentile at any time were often already overweight (20%) or obese (36%) by 3 years of age. CONCLUSIONS: The entire population demonstrated an upward trend in BMI z-score trajectory. This trend was most notable among black girls and Hispanic boys. Many obese children were already overweight by age 3, and persistence of obesity after 3 years of age was high, suggesting that intervention before age 3 may be essential to curbing unhealthy weight trajectories.

Addressing prediabetes in childhood obesity treatment programs: support from research and current practice.

BACKGROUND: Type 2 diabetes mellitus (T2DM) and prediabetes have increased in prevalence among overweight and obese children, with significant implications for long-term health. There is little published evidence on the best approaches to care of prediabetes among overweight youth or the current practices used across pediatric weight management programs. METHODS: This article reviews the literature and summarizes current practices for screening, diagnosis, and treatment of prediabetes at childhood obesity treatment centers. Findings regarding current practice were based on responses to an online survey from 28 pediatric weight management programs at 25 children's hospitals in 2012. Based on the literature reviewed, and empiric data, consensus support statements on prediabetes care and T2DM prevention were developed among representatives of these 25 children's hospitals' obesity clinics. RESULTS: The evidence reviewed demonstrates that current T2DM and prediabetes diagnostic parameters are derived from adult-based studies with little understanding of clinical outcomes among youth. Very limited evidence exists on preventing progression of prediabetes. Some evidence suggests that a significant proportion of obese youth with prediabetes will revert to normoglycemia without pharmacological management. Evidence supports lifestyle modification for children with prediabetes, but further study of specific lifestyle changes and pharmacological treatments is needed. CONCLUSION: Evidence to guide management of prediabetes in children is limited. Current practice patterns of pediatric weight management programs show areas of variability in practice, reflecting the limited evidence base. More research is needed to guide clinical care for overweight youth with prediabetes.

A clinical model of obesity treatment is more effective in preschoolers and Spanish speaking families.

OBJECTIVE: Preschool and minority children have not been well represented in obesity treatment studies. This analysis of clinical obesity treatment was carried out within a diverse population of children 2-12 years to identify demographic characteristics associated with successful treatment. DESIGN AND METHODS: A medical record review captured BMI and demographics for children 2-12 years who began treatment during a 42-month period (n = 479). Associations of body mass index z-score (BMI-Z) change with child and family demographics were examined with logistic regression and time-to-event analysis. RESULTS: Treatment led to a mean BMI-Z decrease of 0.18. Half of children with follow-up (n = 273) exceeded the a priori cut-off for successful treatment of -0.1 BMI-Z. Preschoolers and children of Spanish-speakers were more likely to succeed, (Adjusted OR: 5.8 [95% CI: 2.7-12.2] and 2.3 [95% CI: 1.1, 4.9]). The hazard ratio for treatment failure was 3.7 [95% CI: 2.1, 6.8] for children starting treatment at 6-12 years compared to preschoolers, adjusted for other demographics. CONCLUSIONS: This mode of treatment was more likely to succeed among children treated before school age and among children whose parents spoke only Spanish. Screening and treatment for obesity in preschoolers and Hispanic immigrant families deserve further prospective study.

The effect of neurohormonal factors, epigenetic factors, and gut microbiota on risk of obesity.

Molecular, cellular, and epidemiologic findings suggest that neurohormonal, epigenetic, and microbiologic mechanisms may influence risk for obesity by interacting with socioenvironmental factors. Homeostatic and nonhomeostatic neural controls of energy predispose people to obesity, and this predisposition may be exaggerated by the influence of media, marketing, and sleep patterns. Epigenetic gene regulation may account for the influence of modifiable early life or maternal exposures on obesity risk. Alterations in gut flora caused by infant feeding practices or later diet may influence the absorption and storage of energy. Further exploration of how these molecular-cellular mechanisms might increase obesity risk in response to modifiable socioeconomic factors requires the partnership of laboratory and public health researchers.