Childhood Obesity最新文献

Background: Subjective socioeconomic status (SSES) and objective socioeconomic status (OSES) have been independently associated with body composition and eating behavior in children. While low OSES may constrain access to healthier foods, low SSES has been associated with increased preference for and motivation to consume higher energy foods and portions independent of OSES. Despite these distinct ways that OSES and SSES may affect children's eating behavior and adiposity, their joint contributions remain unclear. We investigated the independent and interactive associations of SSES and OSES with children's BMI, fat mass index (FMI), and caregiver-reported hyperphagia. Methods: Data were derived from the Children's Growth and Behavior Study, an ongoing observational study. Multiple linear regressions used child's SSES and OSES of the family as independent factors and modeled the statistical interaction of SSES and OSES with BMI (n = 128), FMI (n = 122), and hyperphagia and its subscales (n = 76) as dependent variables. Results: SSES was independently and negatively associated with hyperphagia severity and OSES was independently and negatively associated with both FMI and hyperphagia severity. There was a statistical interaction effect of SSES and OSES on hyperphagia severity-lower SSES was associated with greater hyperphagia severity only at lower levels of OSES. Conclusions: These findings demonstrate a relationship between low OSES and child adiposity and that the relationship between child SSES and hyperphagia severity may be most relevant for children from households with lower family OSES. Future research on socioeconomic disparities in children's body composition and eating behaviors should examine the interaction of SSES and OSES. Clinical Trial Registration: NCT02390765.

Background: Factors related to clinically meaningful outcomes for pediatric patients seeking care for severe obesity are not well known. Examining patient-level and program-level characteristics related to success may inform future care. Objectives: To determine factors associated with a clinically significant reduction in weight status measured by %BMIp95 after 6 months of treatment. Study Design: This is a retrospective study of youth 5-17 years of age seeking multicomponent weight management care to determine if patient characteristics, treatment recommendations, reported adherence, and additional program-affiliated class participation are associated with 6-month change in %BMIp95. Results: Among 170 children with obesity, higher reductions in %BMIp95 were seen in those with medium-high dietary adherence compared to low-none (-10.8 vs. -4.0, p = 0.002). Post hoc analysis showed higher dietary adherence among those with private insurance than public insurance (59% vs. 41%, respectively, p = 0.04). Conclusion: Children receiving multidisciplinary multicomponent weight management, who achieve clinically meaningful outcomes, are more likely to be adherent to dietary recommendations regardless of the type. Further study is needed of how best to address social determinants of health to improve dietary adherence. Clinical Trial Registration Number: NCT02121132.

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.

Factors associated with change in percent body fat (%BF) of children in pediatric weight management (PWM) care may differ from those associated with change in weight status. Objective: To describe %BF and weight status at initial visits to 14 PWM sites, identify differences by sex, and evaluate factors associated with change over 6 months. Methods: Initial visits of 2496 males and 2821 females aged 5-18 years were evaluated. %BF was measured using bioelectrical impedance analysis. Results: Sex-specific logistic regressions [806 males (32.3%), 837 females (29.7%)] identified associations with primary outcomes: lower %BF and metabolically impactful ≥5-point drop in percent of the 95th BMI percentile (%BMIp95) over 6 months. At the initial visit, males had lower %BF and higher %BMIp95 than females. Over 6 months, males had significantly (p < 0.001) greater median drop in %BF (-1.4% vs. -0.4%) and %BMIp95 (-3.0% vs. -1.9%) and a higher frequency of decreased %BF (68.9% vs. 57.8%), but similar percentage with ≥5-point %BMIp95 drop (36.5% vs. 32.4%; p = 0.080). For males, factors significantly associated with decreased %BF (older age, ≥6 visits, lack of developmental or depression/anxiety concerns) were not related to having a ≥5-point %BMIp95 drop. For females, lack of depression/anxiety concern was significantly associated with decreased %BF but was not associated with ≥5-point %BMIp95 drop. Conclusions: There are differences by sex in initial visit %BF and %BMIp95 and in characteristics associated with changes in these measures. PWM interventions should consider evaluating body composition and sex-stratifying outcomes.

Background: Understanding social determinants of health (SDOH) that may be risk factors for childhood obesity is important to developing targeted interventions to prevent obesity. Prior studies have examined these risk factors, mostly examining obesity as a static outcome variable. Methods: We extracted electronic health record data from 2012 to 2019 for a children's health system that includes two hospitals and wide network of outpatient clinics spanning five East Coast states in the United States. Using data-driven and algorithmic clustering, we have identified distinct BMI-percentile classification groups in children from 0 to 7 years of age. We used two separate algorithmic clustering methods to confirm the robustness of the identified clusters. We used multinomial logistic regression to examine the associations between clusters and 27 neighborhood SDOHs and compared positive and negative SDOH characteristics separately. Results: From the cohort of 36,910 children, five BMI-percentile classification groups emerged: always having obesity (n = 429; 1.16%), overweight most of the time (n = 15,006; 40.65%), increasing BMI percentile (n = 9,060; 24.54%), decreasing BMI percentile (n = 5,058; 13.70%), and always normal weight (n = 7,357; 19.89%). Compared to children in the decreasing BMI percentile and always normal weight groups, children in the other three groups were more likely to live in neighborhoods with higher poverty, unemployment, crowded households, single-parent households, and lower preschool enrollment. Conclusions: Neighborhood-level SDOH factors have significant associations with children's BMI-percentile classification and changes in classification. This highlights the need to develop tailored obesity interventions for different groups to address the barriers faced by communities that can impact the weight and health of children living within them.

Background: The purpose of this study was to determine the reliability of anthropometric measurements between two trained anthropometrists working in a team and one trained anthropometrist working with a child's parent/caregiver in a primary health care setting. Study Design: An observational study to determine measurement reliability was conducted in a primary care child research network in Canada. In total, 120 children 0-5 years old had their anthropometric measurement taken twice by two trained anthropometrists working in a team and twice by one trained anthropometrist working with a child's parent/caregiver. Inter- and intra-observer reliability was calculated using the technical error of measurement (TEM), relative TEM (%TEM), and the coefficient of reliability (R). Results: The %TEM values for length/height and weight were <2%, and the R coefficient values were >0.99, indicating a high degree of inter- and intra-observer reliability. The TEM values demonstrated a high degree of reliability for inter- and intra-observer measurement of length/height in comparison with other anthropometric measurement parameters. However, there was greater variation seen in the length measurement for children 0 to <2 years of age and in arm circumference measurement across both age-groups. Conclusion(s): This study suggests that anthropometric measurement taken by one trained anthropometrist with the assistance of a parent/caregiver is reliable. These findings provide evidence to support inclusion of a child's parent/caregiver with anthropometric measurement collection in clinical setting(s) to enhance feasibility and efficiency and reduce the research costs of including a second trained anthropometrist.

Interventions in community settings, where children spend substantial out of school time, may enhance access to evidence-based lifestyle interventions. The Boys and Girls Club of Lawrence (BGCL) and New Balance Foundation Obesity Prevention Center at Boston Children's Hospital partnered to revise, enact, and evaluate BGCL's existing Healthy Living Club and then flexibly expand the program to increase access. The BGCL is within walking distance of three public housing communities and easily accessible to members, of whom 90% identify as Hispanic. The interventions comprised nutrition sessions and either fitness activity sessions (N+FA Cycle 1, n = 63, 26 hours; N+FA Cycle 2, n = 94, 27 hours) or academic basketball practices (N+AB Cycle 2, n = 99, 72-80 hours), leveraging time already in the schedule where fitness could be intentionally promoted by coaches. Among children aged 8-15 years, mean [95% confidence interval (CI)] changes (beginning to end) in percentage above the BMI median were significant [N+FA Cycle 1: -2.4 (-4.1, -0.8); N+FA Cycle 2: -4.3 (-5.4, -3.1); N+AB Cycle 2: -5.5 (-6.9, -4.1)]. Lifestyle interventions, implemented with flexibility in existing programs, had beneficial impact, indicating potential of community-academic partnerships.

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.

Background: Adolescents' perceived responsibility for weight management behaviors has yet to be studied in relation to bariatric surgery. The current study examined perceived responsibility to pursue bariatric surgery and engage in specific weight management behaviors among adolescents seeking bariatric surgery and its associations with demographic, family support, and eating disorder symptoms. Methods: Data were collected using retrospective chart review of adolescent bariatric surgery candidates presenting to a tertiary interdisciplinary clinic. Data included demographics and adolescents' self-report of (1) perceived responsibility (i.e., primarily adolescent; primarily parent; shared) for the decision to pursue bariatric surgery and weight management behaviors, (2) family support for eating and exercise behaviors, and (3) eating disorder symptoms. Analyses included one-way analysis of covariance, chi-squared tests, and Kruskal-Wallis tests. Results: Participants reporting primarily teen or shared responsibility for seeking bariatric surgery were older than those reporting primarily parent responsibility (p = 0.023). Teens perceiving primary responsibility for their own healthy eating reported less family encouragement for healthy eating (p = 0.011) and more eating disorder symptoms (p = 0.002) than those reporting primarily parent or shared responsibility. Teens reporting primary responsibility for exercise reported less family encouragement for healthy eating (p = 0.012) compared with those reporting shared responsibility. Conclusions: This study is the first to provide a description of health behavior responsibilities in a sample of adolescents with severe obesity seeking bariatric surgery. Not only will these insights improve our understanding of this population, but it can also inform presurgical discussions with adolescents and their parents.