Childhood Obesity最新文献

Background: Individuals with Duchenne muscular dystrophy (DMD) have increased risk of obesity from prolonged glucocorticoid use and progressive muscle weakness. Over 50% have obesity by the teenage years. Objectives: The current study examines literature on obesity management in DMD and describes how obesity pharmacotherapy can be used in this high-risk cohort. Methods: This review was conducted in adherence to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist. A Pubmed Database search was conducted from January 2000 to May 2024. Included terms were DMD and topiramate, phentermine, metformin, glucagon-like peptide-1 receptor agonist, semaglutide, and liraglutide. Eligible studies were cataloged to examine obesity pharmacotherapy, side effect profiles, and clinical outcomes. Results: Twenty studies met inclusion criteria, 18 on metformin. Reviewed studies varied in duration from 4 to 24 weeks, ages 6.5-44 years old, with 112 participants total (range: 1-30 participants). Included studies were: eight animal studies, six clinical trials, four reviews, one cohort study, and one case report. Primary outcomes varied among studies: muscular degeneration and function (15 articles), cardiac function (2 articles), weight loss (2 articles), and general endocrine care (1 article). Conclusions: Adjunct obesity pharmacotherapy use in youth with DMD is promising but needs to be confirmed. Large gaps include appropriate agent selection, side effect monitoring, and dose escalation. The overall quality of pediatric-specific evidence for the use of obesity pharmacotherapy in youth with DMD is low. Future research is needed to investigate how to safely utilize these agents.

Background: There have been mixed findings on the relationships between childhood obesity and macroscale retail food environments. The current study investigates associations of the neighborhood retail food environment with changes in children's weight status over 6 years in the Kansas City Metropolitan area. Methods: Anthropometrics and home addresses were collected during routine well-child visits in a large pediatric hospital (n = 4493; >75% were Black or Latinx children). Children had measures collected during two time periods ([Time 1] 2012-2014, [Time 2] 2017-2019). Establishment-level food environment data were used to determine the number of four types of food outlets within a 0.5-mile buffer from the children's residence: supermarkets/large grocery stores, convenience stores/small grocery stores, limited-service restaurants, and full-service restaurants. Children who moved residences between periods were "movers" (n = 1052). Associations of baseline and changes in food environment status with Time 2 weight status were assessed using mixed-effects models. Results: Movers who experienced no change in the number of convenience stores or small grocery stores within a 0.5-mile of their home had increased likelihoods of having overweight/obesity and less favorable BMIz changes, compared with movers who experienced a decrease in convenience stores/small grocery stores within a 0.5-mile distance. No associations were observed among nonmovers. Conclusion: Findings suggest that moving to an area with fewer unhealthy retail food outlets (e.g., convenience stores) is associated with a lower risk of obesity in children. Future research is needed to determine whether larger-scale changes to the retail food environment within a neighborhood can support children's healthy weight.

Background: Many studies rely on the International Classification of Diseases, 9th or 10th Revision, Clinical Modification codes to define obesity in electronic health records data. While prior studies found misclassification and low sensitivity of codes for pediatric obesity, it remains unclear whether this misclassification is random and what are the implications of combining different code types to define obesity. Methods: We assessed prevalence, sensitivity, and specificity of obesity codes among 7.4 million children aged 2-19 years over 2014-2021. Among those with obesity in 2021, we estimated the probability of receiving any code or a specific code type by patient characteristics. Results: Obesity code utilization increased in prevalence from 3.9% in 2014 to 9.8% in 2021; prevalence of obesity based on BMI increased from 17.4% to 20.5%. Code sensitivity increased from 19.8% to 40.8%. Among children with obesity in 2021, those with severe obesity (reference: no severe obesity) and chronic disease (reference: no chronic disease) were more likely to get a code, and the highest likelihood was associated with obesity diagnosis codes (vs. status codes). Conclusions: Despite increases, obesity code utilization remained low. Obesity code misclassification is not random and certain child characteristics (e.g., severe obesity or chronic disease) are associated with a higher probability of getting a code. There are also significant differences by code type; thus, caution should be taken before combining obesity codes as a proxy for obesity status, especially in longitudinal analyses. More universal documentation of obesity may improve the quality of care and the use of these data for evaluation and research purposes.

Background: The neighborhood-level child opportunity index (COI) has been used in policy-based initiatives to identify and improve low-resource neighborhoods in order to impact child health. Understanding of how changes in COI can impact child growth, however, is lacking. Methods: Participants were 1124 children from the Family Life Project, a longitudinal birth cohort of families in rural, high-poverty areas. Youth anthropometrics were measured at eight assessments (ages 2 months through 12 years). Neighborhood COI was obtained at seven assessments (ages 2 months through 5 years) and used to create seven trajectory groups representing a change in COI: stayed low on all seven assessments, stayed moderate, stayed high, left low, declined from moderate, declined from high, and bounced around. Results: As hypothesized, moving from high COI neighborhoods into lower COI neighborhoods was associated with greater BMI growth and increased risk for obesity and severe obesity at 12 years. As hypothesized, the opposite effect, which approached significance at p = 0.056, was found among children who moved from low COI neighborhoods into higher COI neighborhoods. Specifically, moving into higher COI neighborhoods was associated with reduced BMI growth, and lower risk for severe obesity at 12 years. Conclusions: Moving into higher COI neighborhoods may be associated with healthier BMI growth, while the opposite effect may occur when moving into lower COI neighborhoods. Given the use of the COI in public health initiatives and growing evidence for its potential positive impact on child growth, future work is needed to replicate our findings among larger diverse samples.

Objective: The objectives of the study were (1) to assess whether resting energy expenditure (REE) equations have comparable validity for adolescents with overweight/obesity vs. adolescents with healthy weight and (2) to examine determinants of measured REE in adolescents with overweight/obesity vs. adolescents with healthy weight. Methods: Ten equations were used to predict REE for 109 adolescents (70% males; 36.7% with overweight/obesity); 95% equivalence testing was used to assess how well each equation agreed with the criterion measure of indirect calorimetry. Linear regression models were fitted to examine how much REE variance was accounted for by age, sex, race, fat-free mass (FFM), and fat mass. Results: For adolescents with healthy weight, all ten equations were significantly equivalent to the criterion measure within ±8.4% (p < 0.05), whereas for participants with overweight/obesity, only three equations were equivalent within the same range (p < 0.05). Controlling for age, sex, race, fat mass, and FFM accounted for 74% of REE variance. FFM explained the greatest amount (26%) of variance in REE, while weight status itself explained an additional 22%. Conclusions: Prediction equations tend to be more accurate for adolescents with healthy weight than adolescents with overweight/obesity unless the original sample specifically included participants with overweight/obesity. Determinants of REE are similar regardless of weight status.

Objective: The American Academy of Pediatrics recommends all children receive care in a patient-centered medical home. With weight stigma potentially hampering family-centered communication in the care of children with overweight or obesity, we aimed to determine how children's weight status was associated with access to a medical home and its components. Methods: We analyzed 2016-2021 data on children age 10-17 years in the National Survey of Children's Health. Children's weight status was classified as underweight/normal weight, overweight, or obese, based on caregiver-reported height and weight. Outcomes included receiving care in a medical home and each category of the medical home definition (personal health care provider, usual source of health care, family/patient-centered care, care coordination, and assistance with referrals). Results: Based on the study sample (n = 105,111), we estimated that 16% of children were overweight and 16% were obese, while 42% had access to a patient-centered medical home. On multivariable analysis, obesity compared to normal weight was associated with lower access to a medical home (odds ratio: 0.87; 95% confidence intervals: 0.80, 0.95; p = 0.003) and, specifically, with lower access to family-centered care and assistance with care coordination. Conclusions: Children with obesity encounter barriers to accessing care meeting medical home criteria, with one plausible mechanism being that weight stigma disrupts family-centered communication. Lower access to care coordination among children with obesity may also indicate a need to improve the integration of obesity-related specialty care with pediatric primary care services.

Equitable access to affordable, effective, and safe obesity prevention and treatment remains a problem for many children and families in the U.S. In 2023, the American Academy of Pediatrics (AAP) published its first Clinical Practice Guideline (CPG) for pediatric obesity evaluation and treatment, aiding the field's awareness of effective approaches. CDC has supported the adapting and packaging of existing, effective Family Healthy Weight Programs that deliver CPG-recommended intensive behavioral treatment for kids. Currently, at least six family-centered programs are recognized by CDC and can be implemented in clinical and community settings to support child health. CDC and other national partners are coordinating the movement of these research-tested FHWPs into public health practice. This work includes implementing FHWPs in over 60 US communities and supporting national-level infrastructure improvements. CDC is committed to engaging with stakeholders to help scale proven strategies that ensure all children receive the care they need to thrive.

Background: The BMI z-score is a standardized measure of weight status and weight change in children and adolescents. BMI z-scores from various growth references are often considered comparable, and differences among them are underappreciated. Methods: This study reanalyzed data from a weight management clinical study of liraglutide in pubertal adolescents with obesity using growth references from CDC 2000, CDC Extended, World Health Organization (WHO), and International Obesity Task Force. Results: BMI z-score treatment differences varied 2-fold from -0.13 (CDC 2000) to -0.26 (WHO) overall and varied almost 4-fold from -0.05 (CDC 2000) to -0.19 (WHO) among adolescents with high baseline BMI z-score. Conclusions: Depending upon the growth reference used, BMI z-score endpoints can produce highly variable treatment estimates and alter interpretations of clinical meaningfulness. BMI z-scores cited without the associated growth reference cannot be accurately interpreted.

Background: Families with children who have or are at risk for obesity have differing needs and a one-size-fits-all approach can negatively impact program retention, engagement, and outcomes. Individually tailored interventions could engage families and children through identifying and prioritizing desired areas of focus. Despite literature defining tailoring as individualized treatment informed by assessment of behaviors, intervention application varies. This review aims to exhibit the use of the term "tailor" in pediatric obesity interventions and propose a uniform definition. Methods: We conducted a scoping review following PRISMA-ScR guidelines among peer-reviewed pediatric obesity prevention and management interventions published between 1995 and 2021. We categorized 69 studies into 6 groups: (1) individually tailored interventions, (2) computer-tailored interventions/tailored health messaging, (3) a protocolized group intervention with a tailored component, (4) only using the term tailor in the title, abstract, introduction, or discussion, e) using the term tailor to describe another term, and (5) interventions described as culturally tailored. Results: The scoping review exhibited a range of uses and lack of explicit definitions of tailoring in pediatric obesity interventions including some that deviate from individualized designs. Effective tailored interventions incorporated validated assessments for behaviors and multilevel determinants, and recipient-informed choice of target behavior(s) and programming. Conclusions: We urge interventionists to use tailoring to describe individualized, assessment-driven interventions and to clearly define how an intervention is tailored. This can elucidate the role of tailoring and its potential for addressing the heterogeneity of behavioral and social determinants for the prevention and management of pediatric obesity.