Suzanne Lazorick

Addressing Childhood Obesity: Opportunities for Prevention

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

Quality of life and BMI changes in youth participating in an integrated pediatric obesity treatment program

BackgroundChanges in Quality of Life (QOL) measures over time with treatment of obesity have not previously been described for youth. We describe the changes from baseline through two follow up visits in youth QOL (assessed by the Pediatric Quality Life Inventory, PedsQL4.0), teen depression (assessed by the Patient Health Questionnaire, PHQ9A), Body Mass Index (BMI) and BMI z-score. We also report caregiver proxy ratings of youth QOL.MethodsA sample of 267 pairs of youth and caregiver participants were recruited at their first visit to an outpatient weight-treatment clinic that provides care integrated between a physician, dietician, and mental health provider; of the 267, 113 attended a visit two (V2) follow-up appointment, and 48 attended visit three (V3). We investigated multiple factors longitudinally experienced by youth who are overweight and their caregivers across up to three different integrated care visits. We determined relationships at baseline in QOL, PHQ9A, and BMI z-score, as well as changes in variables over time using linear mixed models with time as a covariate.ResultsOverall across three visits the results indicate that youth had slight declines in relative BMI, significant increases in their QOL and improvements in depression.ConclusionsWe encourage clinicians and researchers to track youth longitudinally throughout treatment to investigate not only youth’s BMI changes, but also psychosocial changes including QOL.

Comparison of predictive equations and measured resting energy expenditure among obese youth attending a pediatric healthy weight clinic: one size does not fit all.

BACKGROUND The Academy of Nutrition and Dietetics recommends the use of indirect calorimetry for calculating caloric targets for weight loss in obese youth. Practitioners typically use predictive equations since indirect calorimetry is often not available. The objective of this study was to compare measured resting energy expenditure (MREE) with that estimated using published predictive equations in obese pediatric patients. MATERIAL AND METHODS Youth aged 7 to 18 years (n = 80) who were referred to a university-based healthy weight clinic and who were greater than the 95th percentile BMI for age and gender participated. MREE was measured via a portable indirect calorimeter. Predicted energy expenditure (pEE) was estimated using published equations including those commonly used in children. pEE was compared to the MREE for each subject. Absolute mean difference between MREE and pEE, mean percentage accuracy, and mean error were determined. RESULTS Mean percentage accuracy of pEE compared with MREE varied widely, with the Harris-Benedict, Lazzer, and Molnar equations providing the greatest accuracy (65%, 61%, and 60%, respectively). Mean differences between MREE and equation-estimated caloric targets varied from 197.9 kcal/day to 307.7 kcal/day. CONCLUSIONS The potential to either overestimate or underestimate calorie needs in the clinical setting is significant when comparing EE derived from predictive equations with that measured using portable indirect calorimetry. While our findings suggest that the Harris-Benedict equation has improved accuracy relative to other equations in severely obese youth, the potential for error remains sufficiently great to suggest that indirect calorimetry is preferred.

Outcomes from a Medical Weight Loss Program: Primary Care Clinics Versus Weight Loss Clinics

BACKGROUND Few studies have focused on weight loss programs implemented in community-based primary care settings. The objective of this analysis was to evaluate the effectiveness of a weight loss program and determine whether physicians in primary care practices could achieve reductions in body weight and body fat similar to those obtained in weight loss clinics. METHODS Analyses were performed on chart review data from 413 obese participants who underwent weight loss at a primary care (n=234) or weight loss (n=179) clinic. Participants received physician-guided behavioral modification sessions and self-selected a diet plan partially or fully supplemented by meal replacements. A repeated-measures analysis of covariance was conducted with age and sex serving as covariates; significance was set at P≤.05. RESULTS In 178 subjects (43%) completing 12 weeks of the program, primary care clinics were as effective as weight loss clinics at achieving reductions in body weight (12.4 vs 12.1 kg) but better with regard to reduction in body fat percentage (3.8% vs 2.7%; P≤.05). Regardless of location, participants completing 12 weeks lost an average of 11.1% of their body weight. Participants selecting full meal replacement had greater reductions in weight and body fat percentage (12.7 kg, 3.5%) compared with participants selecting a partial meal replacement plan (8.3 kg, 2.3%). CONCLUSION Primary care physicians can successfully manage and treat obese patients using behavioral modification techniques coupled with meal replacement diets.

Prevention and Treatment of Childhood Obesity: Care Received by a State Medicaid Population

Based on chart review for a representative cluster sample of North Carolina Medicaid enrollees aged 3 to 5 years (n = 1951) and 13 to 16 years (n = 1922) years, this study describes prevalence, practice patterns, and comorbidities related to overweight/obese immediately prior to 2007 Expert Recommendations. In total, 16% of children in both age groups were overweight, and 20% (ages 3-5 years) and 25% (ages 13-16 years) were obese. For 3- to 5-year-olds, body mass index percentile was infrequently recorded (22%) or plotted on growth charts (24%), and weight status category was rarely documented (10%). Results were similar for adolescents (21%, 20%, and 12%, respectively). In both groups, documentation of counseling in nutrition or physical activity was rare (16% for ages 3-5 years; 7% for ages 13-16 years). In adolescents, approximately 20% received recommended laboratory screening and overweight/ obesity was significantly associated with chart-documented asthma, back pain, prediabetes, gastroesophageal reflux disease, hypertension, and sleep apnea. Whether improvements in documentation of care followed these new guidelines deserves further research.

Rationale and development of the Move More North Carolina: Recommended Standards for After-School Physical Activity.

The purpose of this article is to describe the rationale and procedure employed in developing the Move More North Carolina: Recommended Standards for After-School Physical Activity, which was publicly released statewide in April 2009. The Standards outline evidenced-based best practices for after-school programs to implement in order to increase amount and quality of physical activity (PA) among program participants. The Standards can be applied in any after-school program and were developed to benefit the approximately 152,000 school-aged children who are served by NC after-school programs each year. These programs often serve children at high risk for physical inactivity, including children from racial/ethnic minorities, impoverished areas, with disabilities, and/or living in neighborhoods with limited PA opportunities. The rationale for developing standards for PA in after-school programs is threefold: (1) such programs can provide enjoyable, safe, and age-appropriate PA; (2) they can facilitate family involvement, community partnership, and increase access to PA resources; and (3) they serve children at risk for inactivity. Recommended best practices are included for the following categories: time/intensity, qualified staff/training, curriculum, program size, facilities, equipment, and evaluation. Methods used to inform The Standards included a planning team, on-line surveys, focus groups, a systematic literature review, a consensus panel, and external expert review. The impact of The Standards is yet to be seen, but the collaborative process used in their creation can serve as a model for the development of similar PA standards in other states.

Physical Examination Findings Among Children and Adolescents With Obesity: An Evidence-Based Review.

Overweight and obesity affects 1 in 3 US children and adolescents. Clinical recommendations have largely focused on screening guidelines and counseling strategies. However, the physical examination of the child or adolescent with obesity can provide the clinician with additional information to guide management decisions. This expert-based review focuses on physical examination findings specific to children and adolescents with obesity. For each physical examination element, the authors define the finding and its prevalence among pediatric patients with obesity, discuss the importance and relevance of the finding, describe known techniques to assess severity, and review evidence regarding the need for additional evaluation. The recommendations presented represent a comprehensive review of current evidence as well as expert opinion. The goal of this review is to highlight the importance of conducting a targeted physical examination during pediatric weight management visits.

Implementation of the NHLBI integrated guidelines for cardiovascular health and risk reduction in children and adolescents: rationale and study design for young hearts, strong starts, a cluster-randomized trial targeting body mass index, blood pressure, and tobacco.

BACKGROUND Cardiovascular disease (CVD) and the underlying atherosclerosis begin in childhood, and their presence and intensity are related to known cardiovascular disease risk factors. Attention to risk factor control in childhood has the potential to reduce subsequent risk of CVD. OBJECTIVE The Young Hearts Strong Starts Study was designed to test strategies facilitating adoption of the National, Heart, Lung and Blood Institute supported Integrated Guidelines for Cardiovascular Health and Risk Reduction in Children and Adolescents. This study compares guideline-based quality measures for body mass index, blood pressure, and tobacco using two strategies: a multifaceted, practice-directed intervention versus standard dissemination. STUDY DESIGN Two primary care research networks recruited practices and provided support for the intervention and outcome evaluations. Individual practices were randomly assigned to the intervention or control groups using a cluster randomized design based on network affiliation, number of clinicians per practice, urban versus nonurban location, and practice type. The units of observation are individual children because measure adherence is abstracted from individual patients medical records. The units of randomization are physician practices. This results in a multilevel design in which patients are nested within practices. The intervention practices received toolkits and supported guideline implementation including academic detailing, an ongoing e-learning group. This project is aligned with the American Board of Pediatrics Maintenance of Certification requirements including monthly physician self-abstraction, webinars, and other elements of the trial. SIGNIFICANCE This trial will provide an opportunity to demonstrate tools and strategies to enhance CV prevention in children by guideline-based interventions.

Structured Intervention Utilizing State Professional Societies to Foster Quality Improvement in Practice

Introduction: Despite the existence of guidelines for attention deficit hyperactivity disorder (ADHD), clinical practices vary substantially. Practitioners can apply quality improvement (QI) strategies to adapt office processes and clinical practice towards evidence‐based care. We identified facilitators and barriers to participation in a professional society–led structured collaborative to learn QI methods and improve care. Methods: Ten chapters of the American Academy of Pediatrics participated in the effort. Support to chapter leaders included conference calls, listserv, technical support, and data aggregation. Support from the chapters to participating pediatricians included online continuing medical education modules, a workshop, chart reviews, and QI coaching. Qualitative data were obtained through interviews of 22 project leaders and reviews of project progress reports. Quantitative results were obtained from surveys of 186 physician participants. Outcomes included facilitators/barriers to program implementation, evidence for sustained chapter QI infrastructure, and participant assessment of improvements in care. Results: Facilitators included physician opinion leaders, a workshop, conference calls, QI support, and opportunities for shared learning. Barriers included lack of time, competing clinical priorities, challenges of using the online module, and underutilization of listservs. Seven chapters planned ongoing activities around attention deficit hyperactivity disorder (ADHD), eight had specific plans to use QI infrastructure for additional clinical topics, and three developed significant QI infrastructure. Physicians believed care improved. Discussion: As requirements grow for participation in QI for maintenance of certification, national and state‐level professional societies are interested in and can develop infrastructure to support quality improvement. Coaching, tools, and support from the national organization and QI experts are helpful in facilitating efforts.

The MATCH Program: Long-Term Obesity Prevention Through a Middle School Based Intervention.

BACKGROUND Motivating Adolescents with Technology to CHOOSE Health™ (MATCH) has been provided for eight years in North Carolina middle schools with high obesity prevalence. METHODS Seventh grade teachers in two schools delivered MATCH lessons in 2009, with one control school. In 2013 students were remeasured and completed a health behavior survey. Outcomes include BMI, BMI z-score (zBMI), weight category, and self-reported behaviors. Comparisons used t tests (continuous measures), Fishers exact test (categorical measures), and linear mixed models (trend between groups). RESULTS Of original participants, 104/189 (55%) of MATCH and 117/173 (68%) of control were remeasured. In the control group, retained participants had lower baseline BMI and were higher percent white. Among all participants, zBMI decreased in MATCH (mean change -0.15 with SD = 0.60) and increased in control (mean change 0.04 with SD = 0.52); between groups p = 0.02. In mixed models for the all overweight subgroup, MATCH had a downward trend in zBMI over time that was significantly different from control (slope MATCH -0.0036 versus control 0.0009; p = 0.01). For shifts in weight category: incidence of obesity was lower in MATCH (13%) versus control (39%); remission of overweight to healthy weight was greater in MATCH (40%) versus control (26%). MATCH participants self-reported lower frequency of intake of sweetened beverages and snacks and hours of weekday TV time than control students. CONCLUSIONS MATCH participation can result in long-term prevention of obesity compared to control, with differences in self-reported health behavior changes to support an underlying mechanism for the observed BMI differences.