Citations

The study aim was to test hypotheses informed by self-determination theory (SDT) regarding associations of adolescent motivators for weight loss and family feeding practices on understanding adolescent weight management and dietary behaviors. Adolescents (n = 71) with obesity were recruited from a large medical center in the Midwest USA and completed questionnaire assessments via an online survey. Results supported hypotheses that endorsement of health motivators for weight loss, conceptualized as autonomous (intrinsic) motivation, and positive family support would be associated with healthier weight management practices and dietary behaviors. Nuanced findings related to social- and self-esteem-related motivators for weight loss indicated a need for further understanding of these weight-loss motivators in the context of SDT. The current study findings highlight the importance of addressing motivational factors and family influences in research and practice related to promoting healthy dietary habits and weight management strategies among adolescents with obesity.

Introduction/Objectives Childhood obesity develops as the result of the interplay between individual and environmental factors. Community based participatory research (CBPR) is an effective tool for improving health of communities. There is limited research on CBPR for facilitating healthy lifestyle in community schools with an alternative learning environment. The objective of the study was to explore student and staff perspectives via focus groups on barriers and facilitators for healthy eating and physical activity in a community school with alternative learning environment and to prioritize, design, and implement suggested interventions to improve healthy lifestyle. Methods We conducted qualitative research through 8 focus groups of middle and high school students (n = 40) and 2 focus groups of school staff (n = 8). The school community and research team subsequently identified and implemented interventions for facilitating healthy lifestyle in students within the school environment. Results Barriers identified for healthy lifestyle included lack of motivation, lack of healthy food options at school, inadequate knowledge about healthy lifestyle and insufficient opportunities for physical activity. Facilitators for healthy lifestyle were support and motivation from mentors and knowledge about healthy nutrition. Key strategies implemented were addition of healthier food options, educational materials for healthy eating, creation of a walk path, standing desks in classrooms and additional equipment in the school gymnasium. Conclusions Formative feedback from students and staff was helpful in the implementation of strategies for facilitating healthy lifestyle among students within a community school with an alternative learning environment.

Objective: To identify an efficacious intervention on treating adolescents with overweight and obesity, this might result in health benefits. Methods: Adolescents with overweight or obesity aged 10–17 years with BMI percentile ≥85th were included in this historical observational analysis. Subjects used an entirely remote weight loss program combining mobile applications, frequent self-weighing, and calorie restriction with meal replacement. Body weight changes were evaluated at 42, 60, 90, and 120 days using different metrics including absolute body weight, BMI, and BMI z-score. Chi-square or Fisher exact tests (categorical variables) and Student's t -test (continuous variables) were used to compare subjects. Results: In total, 2,825 participants, mean age 14.4 ± 2.2 years, (54.8% girls), were included from October 27, 2016, to December 31, 2017, in mainland China; 1355 (48.0%) had a baseline BMI percentile ≥97th. Mean BMI and BMI z-score were 29.20 ± 4.44 kg/m 2 and 1.89 ± 0.42, respectively. At day 120, mean reduction in body weight, BMI, and BMI z-score was 8.6 ± 0.63 kg, 3.13 ± 0.21 kg/m 2 , and 0.42 ± 0.03; 71.4% had lost ≥5% body weight, 69.4% of boys and 73.2% of girls, respectively. Compared with boys, girls achieved greater reduction on BMI z-score at all intervals ( p < 0.004 for all comparisons). Higher BMI percentile at baseline and increased frequency of use of the mobile application were directly associated with more significant weight loss. Conclusions: An entirely remote digital weight loss program is effective in facilitating weight loss in adolescents with overweight or obesity in the short term and mid term.

The prevalence of type 2 diabetes mellitus (T2DM) in children and adolescents is on the rise, and the increase in prevalence of this disorder parallels the modern epidemic of childhood obesity worldwide. T2DM affects primarily post-pubertal adolescents from ethnic/racial minorities and those from socioeconomically disadvantaged backgrounds. Youth with T2DM often have additional cardiovascular risk factors at diagnosis. T2DM in youth is more progressive in comparison to adult onset T2DM and shows lower rates of response to pharmacotherapy and more rapid development of diabetes-related complications. Lifestyle modifications and metformin are recommended as the first-line treatment for youth with T2DM in the absence of significant hyperglycemia. Assessment of pancreatic autoimmunity is recommended in all youth who appear to have T2DM. Pharmacotherapeutic options for youth with T2DM are limited at this time. Liraglutide, a GLP-1 agonist, was recently approved for T2DM in adolescents 10 years of age and older. Several clinical trials are currently underway with youth with T2DM with medications that are approved for T2DM in adults. Bariatric surgery is associated with excellent rates of remission of T2DM in adolescents with severe obesity and should be considered in selected adolescents.

SummaryIntroductionTo better inform the field of obesity medicine, we set out to describe the current use of pharmacotherapy meant to improve patient weight status among a group of clinicians connected through the Paediatric Obesity Weight Evaluation Registry (POWER), as well as reasons behind clinicians' use or non‐use of the medications.MethodsPaediatric weight management (PWM) programs participating in POWER were asked to complete a program profile survey in 2014 (n = 30) and 2017 (n = 33); questions about pharmacotherapy use were included. Descriptive statistics were used to identify: (a) the proportion of PWM programs offering obesity pharmacotherapy; (b) the medications most commonly prescribed; and (c) reasons among non‐prescribers for not offering pharmacotherapy.ResultsThe 2014 and 2017 surveys were completed by 29 PWM programs (97%) and 30 PWM programs (91%), respectively. Twenty‐one programs completed both surveys. In 2014, 10 (34%) programs reported offering pharmacologic agents specifically for weight control, whereas in 2017, 16 (53%) reported offering pharmacotherapy for a primary indication of weight loss. Metformin was reported as the most commonly used agent in 2014, and topiramate in 2017. Largest reported increases in use over time were for topiramate and phentermine.DiscussionOur survey results demonstrate that a majority of this group of PWM programs offered pharmacotherapy to promote weight loss in patients with complications or associated medical conditions. There was a trend indicating increasing use over time, despite the significant gap regarding pharmacotherapy use in the literature.ConclusionsThese data suggest the need for (a) additional robust paediatric drug trials to further develop the evidence base guiding use or non‐use of pharmacotherapy in paediatric weight management, and (b) increased understanding of both facilitators and barriers to prescribing anti‐obesity pharmacotherapy for youth with obesity.

Background: Childhood obesity is associated with dyslipidemia, fatty liver disease, and type 2 diabetes. Expert guidelines recommend screening for these conditions in children with obesity. Aims and objectives: The objective of the study was to compare rates of laboratory screening for dyslipidemia, fatty liver disease, and type 2 diabetes in children with obesity prior to and following implementation of a point-of-care decision support tool. Methods: We performed a retrospective record review of children with body mass index (BMI) ≥95th percentile for age and gender (age 7–18 years) undergoing well-child/sports examination visits. Multivariable logistic regression models were used to adjust for patient and provider confounders. Results: There was no increase in the rates of screening following implementation of the point-of-care decision support tool. Tests were more likely to be recommended in children with severe obesity and in females. Conclusions: The implementation of a point-of-care decision support tool was not associated with improvement in screening rates for dyslipidemia, fatty liver disease, and type 2 diabetes for children with obesity. Further strategies are needed to improve rates of screening for obesity-related comorbid conditions in children with obesity.

Adverse childhood experiences (ACE) have been associated with a greater prevalence of risky behaviors and chronic health conditions, such as diabetes in adulthood. While adolescents with risk taking behaviors experience worsening of diabetic metabolic control, it is yet to be determined whether glycemic management in children and adolescents is negatively and independently influenced by ACEs. This study examines the relationship between ACEs in children and adolescents with type 1 diabetes (T1DM) and glycemic control, BMI and lipids. For such children, we hypothesized that hemoglobin A1c (HbA1c) is positively correlated with ACE scores. Parents of children (age 2–18 years) with T1DM completed a validated ACE questionnaire. The associations between parent and child ACE score and HbA1c, lipids and BMI z-scores were assessed using linear regression. The prevalence of any ACE was 27.9% among children and 49.0% among parents. HbA1c was significantly higher in children who had exposure to three or more ACEs (β:0.63 (4.5 mmol/mol); p = 0.02), in those who had a parent exposed to four or more ACEs (β:0.87 (7.2 mmol/mol); p = 0.03), in children who had exposure to household incarceration (β:0.62 (4.4 mmol/mol); p = 0.05) and children who witnessed or had been victim of violence in the neighborhood (β:0.71 (5.4 mmol/mol); p = 0.02). ACEs were highly prevalent among children with T1DM and had a positive association with glycemic control.

Objectives: This systematic review evaluated the accuracy of triaxial and omnidirectional accelerometers for measuring physical activity and sedentary behavior in children. Design: Systematic review of the literature. Methods: We comprehensively searched several databases for studies published from January 1996 through June 2018 that reported diagnostic accuracy measures in children and adolescents (age 3-18 years) and compared accelerometers with energy expenditure using indirect calorimetry. Results: We included 11 studies that enrolled 570 participants. All studies used indirect calorimetry as the reference standard. Across the studies, median sensitivity ranged from 46% to 96% and median specificity ranged from 71% to 96%. Median area under the curve ranged from 69% to 98%. Conclusions: Accuracy measures were greatest when detecting sedentary behavior and lowest when detecting light physical activity. Accuracy was higher when the accelerometer was placed on the hip compared with the wrist. The current evidence suggests that triaxial and omnidirectional accelerometers are accurate in measuring sedentary behavior and physical activity levels in children.

Abstract Background Severe obesity is associated with a number of cardiometabolic risk factors. Thyroid-stimulating hormone (TSH) levels are often slightly increased in children with obesity. The clinical significance of the mild elevation in TSH in children with obesity is unclear. Objective To examine the association between TSH and lipids in children with severe obesity. Methods We performed a retrospective analysis of records of children with severe obesity with simultaneous measurements of TSH and lipids. Children with TSH <0.3 mIU/L and ≥10 mIU/L were excluded. The relationship between TSH and lipids was evaluated using univariate/multiple variable linear and logistic regression. Results The study included 834 children (age 13.8 ± 4.1 years, males 46%, body mass index [BMI]: 36.9 ± 7.6 kg/m2; BMI z-score 2.6 ± 0.4). Seventy-four (8.9%) children had TSH between 5 and <10 mIU/L (high TSH [HTSH]). TSH was positively associated with non-high-density lipoprotein (HDL) cholesterol (β: 1.74; 95% confidence interval [CI] 0.29–3.20, p = 0.02). Total cholesterol and non-HDL cholesterol were higher in males with HTSH compared to those with normal TSH (175.5 vs. 163.5 mg/dL, p = 0.02 and 133.7 vs. 121.4 mg/dL, p = 0.02, respectively). The odds of elevated non-HDL cholesterol (≥145 mg/dL) was higher in males with HTSH relative to those with normal TSH (odds ratio [OR]: 2.78; 95% CI 1.35–5.69, p = 0.005). Conclusions TSH levels were positively associated with non-HDL cholesterol in children with severe obesity. Males with mildly elevated TSH had higher total cholesterol and non-HDL cholesterol compared to males with normal TSH. Further studies are warranted to determine if levothyroxine therapy would result in improvement in total cholesterol or non-HDL cholesterol in children with severe obesity with mildly elevated TSH.