Adverse childhood experiences, health behaviors, and associations with obesity among youth in the United States.

Adverse Childhood Experiences (ACEs) affect almost half of youth in the U.S. and are linked to a host of deleterious medical and psychosocial outcomes. The current study examines the relationships among ACEs, childhood obesity, and modifiable lifestyle behaviors to inform clinical care, future research, and policy. Using data from the 2016-2018 National Survey of Children's Health (NSCH), associations between children's ACEs, weight status, and health behaviors that may influence the link between ACEs and obesity were examined. In the NSCH data, 25.3% of youth aged 10-17 years experienced one ACE with another 25.9% experiencing two or more ACEs. Having ACEs was related to excess screen time and inadequate sleep, and independently associated with obesity. Findings highlight the importance of providers screening and finding ways to intervene on behalf of youth with obesity. The present provides guidelines for providers on intervening with youth experiencing ACEs.

Improved Motor Proficiency and Quality of Life in Youth With Prader-Willi Syndrome and Obesity 6 Months After Completing a Parent-Led, Game-Based Intervention.

PURPOSE: To determine changes and potential differences in physical activity (PA), gross motor proficiency (MP), and health parameters after a 6-month follow-up (FU) period following participation in a parent-led PA intervention in youth with or without Prader-Willi syndrome (PWS). METHODS: About 42 youth with PWS and 65 youth without PWS but with obesity (body fat percentage >95th percentile for age and sex), aged 8-16 years, participated. The intervention included preplanned PA sessions containing playground and console-based video games scheduled 4 days per week for 24 weeks. Families received training and curriculum materials. PA (accelerometry), MP (Bruininks-Oseretsky Test of MP), and health-related quality of life were obtained before (PRE), after completing the intervention (POST), and at FU. RESULTS: There were no significant changes in PA at any time point. At FU and POST, participants showed higher bilateral coordination (PRE = 9.3 [0.4], POST = 11.7 [0.5], and FU = 11.1 [0.6]); speed and agility (PRE = 9.2 [0.4], POST = 10.8 [0.4], and FU = 11.5 [0.5]); and strength (PRE = 8.0 [0.3], POST = 9.2 [0.3], and FU = 9.2 [0.3]) than at PRE. At FU (80.3 [2.1]) and POST (79.8 [1.7]), youth without PWS showed higher health-related quality of life than PRE (75.0 [1.8]). CONCLUSION: The improvements in MP and health-related quality of life at FU suggest long-term durability of intervention outcomes.

Acute appendicitis in childhood: oral contrast does not improve CT diagnosis.

INTRODUCTION: We compared the diagnostic accuracy of CT performed without and with oral contrast for suspected appendicitis in children. METHODS: In this retrospective cohort study, we reviewed abdomen/pelvis CT scans with IV contrast performed between 2011 and 2015 for suspected appendicitis. Oral contrast was used routinely before August 2013 and eliminated from the CT protocol thereafter. Diagnostic accuracy of CT was compared with operative/pathology reports, and included a 30-day follow-up period for non-surgical patients. For a secondary analysis, the oral contrast group was subdivided into "complete" (contrast extending into the cecum) or "partial" contrast. We also compared groups for CT turnaround time, the frequency of appendiceal perforation and abscess, and the potential influence of a prior appendix ultrasound. RESULTS: Five hundred fifty-eight patients were included: 51.6% (n = 288) without oral contrast and 48.4% (n = 270) with oral contrast (of which 52% (n = 140/270) had "complete" contrast). There was no difference in diagnostic accuracy between the oral contrast and non-contrast groups (p = 0.903), with sensitivity/specificity of 93.8% (95% CI 84.8-98.3)/98.5% (CI 95.8-99.7) and 94.6% (CI 84.9-98.9)/98.3% (CI 95.7-99.5), respectively. Similarly, there was no difference in accuracy when comparing only "complete" contrast vs. non-contrast groups (p = 0.755). CT turnaround time for the non-contrast group was significantly faster (43.8 ± 37.6 min), on average, than the oral contrast group (137.4 ± 47.5 min). CONCLUSION: For children evaluated by CT with IV contrast for suspected appendicitis, administering oral contrast increased wait time by > 90 min, did not reach the cecum in 48% of cases, and did not improve diagnostic accuracy. Oral contrast for pediatric CT appendicitis evaluation is not warranted.

Assessment of Adverse Childhood Experiences and Social Determinants of Health: A Survey of Practices in Pediatric Weight Management Programs.

Introduction: Adverse childhood experiences (ACEs) and social determinants of health (SDoH) are associated with increased incidence of pediatric obesity. Recent literature highlights an imperative need to assess ACEs and SDoH among youth and families with obesity to identify those individuals requiring targeted interventions. The primary objective of the present study was to examine the frequency, methodology, and barriers in evaluation of ACEs and SDoH within pediatric weight management programs (PWMPs). Methods: Invitations were e-mailed to a comprehensive directory of 92 PWMPs in the United States with a link to complete an electronic survey. Results: Forty-one PWMPs from 26 states completed the survey. Assessment of one or more ACEs and SDoH was common and typically took place during the initial patient visit by the psychologist or medical practitioner through unstructured conversations. Reported barriers to assessment included lack of time to assess and to follow-up, lack of clinic protocols, and inadequate referral resources. Programs offering bariatric surgery and those with embedded mental health clinicians reported fewer barriers to ACEs/SDoH referral resources, while family-based and healthy lifestyle-focused programs perceived more barriers related to insufficient support staff and time to follow-up with families. Conclusions: Most PWMPs assess a subset of ACEs and SDoH; however, approaches to assessment vary, are often unstructured, and several barriers remain to optimizing assessment and follow-up. Future research should evaluate standardized ACEs/SDoH assessment protocols, ideal workflow, and their impact on obesity treatment and related health outcomes.

Percent Body Fat and Weight Status of Youth Participating in Pediatric Weight Management Programs in the Pediatric Obesity Weight Evaluation Registry.

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.

Significant and serious dehydration does not affect skeletal muscle cramp threshold frequency.

OBJECTIVE: Many clinicians believe that exercise-associated muscle cramps (EAMC) occur because of dehydration. Experimental research supporting this theory is lacking. Mild hypohydration (3% body mass loss) does not alter threshold frequency (TF), a measure of cramp susceptibility, when fatigue and exercise intensity are controlled. No experimental research has examined TF following significant (3-5% body mass loss) or serious hypohydration (>5% body mass loss). Determine if significant or serious hypohydration, with moderate electrolyte losses, decreases TF. DESIGN: A prepost experimental design was used. Dominant limb flexor hallucis brevis cramp TF, cramp electromyography (EMG) amplitude and cramp intensity were measured in 10 euhydrated, unacclimated men (age=24±4 years, height=184.2±4.8 cm, mass=84.8±11.4 kg). Subjects alternated exercising with their non-dominant limb or upper body on a cycle ergometer every 15 min at a moderate intensity until 5% body mass loss or volitional exhaustion (3.8±0.8 h; 39.1±1.5°C; humidity 18.4±3%). Cramp variables were reassessed posthypohydration. RESULTS: Subjects were well hydrated at the study's onset (urine specific gravity=1.005±0.002). They lost 4.7±0.5% of their body mass (3.9±0.5 litres of fluid), 4.0±1.5 g of Na(+) and 0.6±0.1 g K(+) via exercise-induced sweating. Significant (n=5) or serious hypohydration (n=5) did not alter cramp TF (euhydrated=15±5 Hz, hypohydrated=13±6 Hz; F1,9=3.0, p=0.12), cramp intensity (euhydrated= 94.2±41%, hypohydrated=115.9±73%; F1,9=1.9, p=0.2) or cramp EMG amplitude (euhydrated=0.18±0.06 µV, hypohydrated= 0.18±0.09 µV; F1,9=0.1, p=0.79). CONCLUSIONS: Significant and serious hypohydration with moderate electrolyte losses does not alter cramp susceptibility when fatigue and exercise intensity are controlled. Neuromuscular control may be more important in the onset of muscle cramps than dehydration or electrolyte losses.

Telehealth Use in a National Pediatric Weight Management Sample During the COVID-19 Pandemic.

Background: This study aimed to assess the implementation and access to telehealth-delivered pediatric weight management (PWM) during the initial phase of the COVID-19 pandemic at six US PWM programs (PWMP) using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) framework. Methods: The COVID-19 period (COVID) was defined in this retrospective, multisite study as the time when each site closed in-person care during 2020. The Pre-COVID period (Pre-COVID) was an equivalent time frame in 2019. Patients were stratified by visit completion status. Patient characteristics for COVID and Pre-COVID were compared to examine potential changes/disparities in access to care. Results: There were 3297 unique patients included across the six sites. On average, telehealth was initiated 4 days after in-person clinic closure. Compared with Pre-COVID, COVID (mean duration: 9 weeks) yielded fewer total completed visits (1300 vs. 2157) and decreased revenue (mean proportion of nonreimbursed visits 33.30% vs. 16.67%). Among the completed visits, COVID included a lower proportion of new visits and fewer patients who were male, non-English speaking, Hispanic, or Asian and more patients who were Black or lived ≥20 miles from the program site (p < 0.05 for all). Among no-show/canceled visits, COVID included more patients who had private insurance, older age, or a longer time since the last follow-up. Conclusion: Rapid implementation of telehealth during COVID facilitated continuity of PWM care. Clinic volume and reimbursement were lower during COVID and differences in the patient population reached by telehealth emerged. Further characterization of barriers to telehealth for PWM is needed.

Characteristics of paediatric weight management in the United States: Associations with program retention and BMI outcomes in the paediatric obesity weight evaluation registry (POWER).

OBJECTIVE: To describe characteristics of paediatric weight management (PWM) programs across the United States and evaluate associations with program-specific retention rates and body mass index (BMI) outcomes at 6 months. METHODS: A program profile survey was administered to 33 programs within the Paediatric Obesity Weight Evaluation Registry (POWER) to assess program staffing, services, and treatment format. Patient retention and percent of the 95th BMI percentile (%BMIp95) changes were assessed for each program. RESULTS: At 6 months program retention rates ranged from 15% to 74% (median: 41%), and program %BMIp95 changes ranged from -9.0 to +0.5 percentage points (median: -1.7). Percent of patients with ≥5 percentage-point decrease in %BMIp95 ranged from 17% to 71% across programs (median: 29%). No associations were detected between program characteristics and retention or %BMIp95 changes. CONCLUSIONS: Six-month patient retention and BMI outcomes vary substantially in PWM programs across the United States. Yet, no associations were found between PWM treatment factors and these program-level patient outcomes.

Acceptability of Time-Limited Eating in Pediatric Weight Management.

Background: Adherence to dietary interventions is a significant barrier in the treatment of childhood obesity. Time-limited eating (TLE) is a simple dietary approach that limits food intake to a given number of consecutive hours per day, but parental and youth acceptability of TLE in youth with obesity is unknown. This study explored the feasibility of utilizing TLE among parents and youth attending pediatric weight management (PWM). Methods: Members of COMPASS (Childhood Obesity Multi-Program Analysis and Study System) developed a survey to assess the acceptability of TLE in families attending PWM, which included patient characteristics, current diet and sleep schedules, and interests in trying TLE. The survey was administered electronically via REDCap or manually to parents of patients between the ages of 8-17 years old and to patients 11-17 years old attending one of five PWM practices in the COMPASS network. Results: Patients (n=213) were 13.0 ± 2.5 years old, 58% female, 52% White, 22% Black, 17% Hispanic/Latino, and 47% reported a diagnosed psychological disorder. On average, parents reported their child's daily eating spanned 12.5 ± 1.9 hours (7:35am - 8:05pm) and included 5.6 ± 1.6 eating bouts (meals + snacks). Most parents reported being likely to try TLE ≤12 hours/d (TLE12: 66%), which was similar to the likelihood of following a nutrient-balanced diet (59%). Likelihood was lower for TLE ≤10 hours/d (TLE10: 39%) or ≤8 hours/d (TLE8: 26%) (p<0.001 for both). Interest in TLE was not consistently related to patient age, sex, or ethnicity, but was lower in patients with a psychiatric diagnosis vs. no diagnosis (TLE8: 19% vs. 32%; p=0.034). Patients of parents who reported being likely to try TLE, compared to those unlikely to try TLE, had shorter eating windows (p<0.001) and ate fewer snacks (p=0.006). Conclusions: Two-thirds of parents with children attending PWM programs report interest in TLE ≤12 hours/d regardless of demographic characteristics, but interest wanes when limiting eating to ≤10 or ≤8 hours per day. Time-limited eating appears to be a feasible option in PWM settings provided treatment options are individualized based on the interests and barriers of patients and their families.

Elevated blood pressure in youth in pediatric weight management programs in the Pediatric Obesity Weight Evaluation Registry (POWER).

Blood pressure (BP) assessment and management are important aspects of care for youth with obesity. This study evaluates data of youth with obesity seeking care at 35 pediatric weight management (PWM) programs enrolled in the Pediatric Obesity Weight Evaluation Registry (POWER). Data obtained at a first clinical visit for youth aged 3-17 years were evaluated to: (1) assess prevalence of BP above the normal range (high BP); and (2) identify characteristics associated with having high BP status. Weight status was evaluated using percentage of the 95th percentile for body mass index (%BMIp95); %BMIp95 was used to group youth by obesity class (class 1, 100% to < 120% %BMIp95; class 2, 120% to < 140% %BMIp95; class 3, ≥140% %BMIp95; class 2 and class 3 are considered severe obesity). Logistic regression evaluated associations with high BP. Data of 7943 patients were analyzed. Patients were: mean 11.7 (SD 3.3) years; 54% female; 19% Black non-Hispanic, 32% Hispanic, 39% White non-Hispanic; mean %BMIp95 137% (SD 25). Overall, 48.9% had high BP at the baseline visit, including 60.0% of youth with class 3 obesity, 45.9% with class 2 obesity, and 37.7% with class 1 obesity. Having high BP was positively associated with severe obesity, older age (15-17 years), and being male. Nearly half of treatment-seeking youth with obesity presented for PWM care with high BP making assessment and management of BP a key area of focus for PWM programs.

Joint association of fatness and physical activity on resting blood pressure in 5- to 9-year-old children.

The purpose of this study was to determine the joint association of fatness and physical activity on resting blood pressure in children. Subjects included 157 children (age 5.5-9.5 years). Moderate-to-vigorous physical activity (MVPA, min/day), body fatness, and resting blood pressure were measured. Four categories were created by cross tabulation of high/normal levels of fatness and high/low levels of MVPA. There were significant differences in systolic blood pressure and mean arterial pressure across the fat/MVPA groups (p < .05). Regardless of participating in an acceptable level of MVPA, overfat children had higher resting systolic blood pressure than normal fat children. MVPA did not significantly attenuate blood pressure within a fat category.

Evaluation of a Primary Care Weight Management Program in Children Aged 2⁻5 years: Changes in Feeding Practices, Health Behaviors, and Body Mass Index.

BACKGROUND: Primary care offers a promising setting for promoting parenting practices that shape healthy eating and physical activity behaviors of young children. This study assessed the impact of a parent-based, primary care intervention on the feeding habits, health behaviors, and body mass index (BMI) of 2⁻5 year olds with elevated or rapidly-increasing BMI. METHODS: Four private pediatric offices in West Michigan were assigned as control (n = 2) or intervention (n = 2) sites based on patient load and demographics. Treatment families were recruited at well-child visits to receive physician health-behavior counseling and four visits with a registered dietitian nutritionist (RDN) over a 6-month period. Intervention outcomes were age- and sex-specific BMI metrics, including BMI z-scores and percent of the 95th percentile (%BMIp95), the Family Nutrition and Physical Activity survey (FNPA), and the Feeding Practices and Structure Questionnaire (FPSQ). RESULTS: Of 165 enrolled families, 127 completed follow-up measures (77% retention). Mean (±SD) FNPA scores improved in treatment vs. control (4.6 ± 4.6 vs. 0.1 ± 4.2; p < 0.001), and screen time (h/day) decreased (-0.9 ± 1.8 vs. 0.3 ± 1.1; p < 0.001). Non-responsive feeding practices (i.e., reward for behavior (p = 0.006) and distrust in appetite (p < 0.015)) and structure-related feeding practices (structured meal timing (p < 0.001)) improved in treatment parents vs. controls. Reductions in child BMI measures did not differ between groups. CONCLUSIONS: Families with preschool children participating in a low-intensity, primary care intervention improved obesogenic health behaviors, parent feeding habits, and child screen time, but not child adiposity. Future research should assess the sustainability of these family lifestyle improvements, and evaluate their future impact on the health and development of the children.

Long and Short of It: Early Response Predicts Longer-Term Outcomes in Pediatric Weight Management.

OBJECTIVE: This study aimed to examine whether 1-month BMI improvement is predictive of superior 6- and 12-month BMI changes in a national sample of youth in pediatric weight management treatment. METHODS: Participants were 4- to 18-year-olds from the Pediatric Obesity Weight Evaluation Registry, a prospective study collecting data from 31 pediatric weight management programs across the United States. Response at 1 month was defined as ≥ 3% BMI reduction; success at 6 and 12 months was defined as ≥ 5% BMI reduction from baseline. Analyses used linear and logistic regression with robust variance estimation. RESULTS: Primary analyses were completed with 687 participants (mean age 12.2 years). One-month responders demonstrated significant improvements in BMI compared with nonresponders at 6 months (BMI, -2.05 vs. 0.05; %BMI, -5.81 vs. 0.23; P < 0.001 for all) and 12 months (BMI, -1.87 vs. 0.30; %BMI, -5.04 vs. 1.06; P < 0.001 for all). The odds of success for 1-month responders were 9.64 (95% CI: 5.85-15.87; P < 0.001) times that of nonresponders at 6 months and 5.24 (95% CI: 2.49-11.02; P < 0.001) times that of nonresponders at 12 months. CONCLUSIONS: In treatment-seeking youth with obesity, early BMI reduction was significantly associated with greater long-term BMI reduction. Nonresponders may benefit from early treatment redirection or intensification.

Electronic Gaming Characteristics Associated with Class 3 Severe Obesity in Youth Who Attend the Pediatric Weight Management Programs of the COMPASS Network.

BACKGROUND: The prevalence of severe obesity and electronic game use among youth has increased over time. METHODS: We administered a survey assessing gaming and psycho-demographic characteristics to youth aged 11-17 attending five weight management programs. We conducted chi-square and logistic regression analyses to describe the association between class 3 severe obesity and gaming characteristics. RESULTS: Four hundred twelve youth (51% female, 26% Black, 25% Hispanic, 43% White, and 44% with class 3 severe obesity) completed the survey. There was a stepwise relationship between time spent gaming and class 3 severe obesity, with 28% of those playing 2 to <4 hours a day, 48% of those playing 4 to <6 hours a day, and 56% of those playing ≥6 hours a day having class 3 severe obesity (p = 0.002). Compared to youth without class 3 severe obesity, youth with class 3 severe obesity were more likely to have a TV in the bedroom (76% vs. 63%, p = 0.004) and play games on a console (39% vs. 27%, p = 0.03) and were less likely to report parental limit setting on type of games played (7% vs. 16%, p = 0.006). Youth who played games ≥4 hours a day were 1.94 times (95% confidence interval 1.27-3.00) more likely to have class 3 severe obesity than those who played <4 hours a day, after adjustment for demographic, behavioral, and academic variables. CONCLUSIONS: Our study demonstrates a clear association between gaming characteristics, especially time spent gaming, and severe obesity in youth. Further research testing family-based interventions that target gaming behaviors in youth are needed.

A Review of Modifiable Risk Factors for Severe Obesity in Children Ages 5 and Under.

Early-onset severe obesity in childhood presents a significant clinical challenge signaling an urgent need for effective and sustainable interventions. A large body of literature examines overweight and obesity, but little focuses specifically on the risk factors for severe obesity in children ages 5 and younger. This narrative review identified modifiable risk factors associated with severe obesity in children ages 5 and younger: nutrition (consuming sugar sweetened beverages and fast food), activity (low frequency of outdoor play and excessive screen time), behaviors (lower satiety responsiveness, sleeping with a bottle, lack of bedtime rules, and short sleep duration), and socio-environmental risk factors (informal child care setting, history of obesity in the mother, and gestational diabetes). The lack of literature on this topic highlights the need for additional research on potentially modifiable risk factors for early-onset severe obesity.

Characteristics of Children 2 to 5 Years of Age With Severe Obesity.

BACKGROUND AND OBJECTIVES: As a distinct group, 2- to 5-year-olds with severe obesity (SO) have not been extensively described. As a part of the Expert Exchange Workgroup on Childhood Obesity, nationally-representative data were examined to better characterize children with SO. METHODS: Children ages 2 to 5 (N = 7028) from NHANES (1999-2014) were classified as having normal weight, overweight, obesity, or SO (BMI ≥120% of 95th percentile). Sociodemographics, birth characteristics, screen time, total energy, and Healthy Eating Index 2010 scores were evaluated. Multinomial logistic and linear regressions were conducted, with normal weight as the referent. RESULTS: The prevalence of SO was 2.1%. Children with SO had higher (unadjusted) odds of being a racial and/or ethnic minority (African American: odds ratio [OR]: 1.7; Hispanic: OR: 2.3). They were from households with lower educational attainment (OR: 2.4), that were single-parent headed (OR: 2.0), and that were in poverty (OR: 2.1). Having never been breastfed was associated with increased odds of obesity (OR: 1.5) and higher odds of SO (OR: 1.9). Odds of >4 hours of screen time were 1.5 and 2.0 for children with obesity and SO. Energy intake and Healthy Eating Index 2010 scores were not significantly different in children with SO. CONCLUSIONS: Children ages 2 to 5 with SO appear to be more likely to be of a racial and/or ethnic minority and have greater disparities in social determinants of health than their peers and are more than twice as likely to engage in double the recommended screen time limit.

The Association Between Measures of Fitness and Metabolic Health in Treatment-Seeking Youth with Obesity.

BACKGROUND: Both cardiorespiratory fitness (CRF) and measures of muscular fitness are associated with metabolic syndrome in adults. However, limited information exists about these relationships in youth with severe obesity who are at increased risk of metabolic dysfunction. The purpose of this study was to examine the relationship between fitness and metabolic health in treatment-seeking youth with obesity. METHODS: Data for this analysis were collected at the time of baseline visits at a stage 3 pediatric weight management center. Maximal voluntary contractions were obtained by using isometric hand-grip dynamometry, and CRF was obtained from a maximal treadmill test. Resting blood pressure and fasting measures of blood lipids, glucose, and insulin were used to calculate a continuous metabolic syndrome score (cMetS); homeostasis model assessment of insulin resistance (HOMA-IR) was calculated from fasting insulin and glucose. Relationships between measures of fitness and metabolic health were evaluated by using partial correlations adjusted for age. RESULTS: Sixty-nine participants (21 boys, 48 girls) were included in this analysis. Of these, 46% (n = 32) met the criteria for metabolic syndrome. No differences were found between boys and girls for any variable analyzed. Muscular strength was positively associated with cMetS (r = 0.35), though this association weakened after adjustment for body mass index percentile. CRF was inversely associated with homeostasis model assessment of insulin resistance (HOMA-IR) (r = -0.26) and fasting insulin (r = -0.27). Body fat percentage was positively associated with insulin (r = 0.36). No significant relationship was found between CRF and cMetS. CONCLUSION: Contrary to previous studies, CRF was not associated with metabolic syndrome in this group. Muscular strength, however, was associated with cMetS. Notably, CRF was associated with elevated HOMA-IR, which may be seen as a precursor to metabolic syndrome. These results suggest that CRF and muscular strength influence metabolic function independently.

Association between the Family Nutrition and Physical Activity Screening Tool and obesity severity in youth referred to weight management.

BACKGROUND: The Family Nutrition and Physical Activity Screening Tool (FNPA) evaluates family behavioural and environmental factors associated with pediatric obesity, but it is unknown if FNPA scores differ among youth across obesity severities. Our aim was to determine the association between the FNPA and obesity severity in youth referred to weight management. METHODS: Upon initiating treatment, height, weight, and the FNPA were collected according to standard procedures. Cut-points for overweight/obesity, severe obesity (SO) class 2, and SO class 3 were calculated. FNPA scores were compared across weight status groups using analysis of covariance, and odds of SO across FNPA quartiles were evaluated with multiple logistic regression. RESULTS: Participants included 564 5-18year old who initiated treatment and completed the FNPA. After adjustment, FNPA scores differed by weight status with higher/healthier scores in youth with overweight/obesity (56.6±8.5) when compared to those with SO class 2 (55.0±7.1; p=0.015) or SO class 3 (53.6±9.0; p<0.001). Compared to those in the highest FNPA quartile, youth in the 2nd quartile had 1.8 (95% CI: 1.1, 2.9) times higher odds of SO, and those in the lowest FNPA quartile had 2.1 (95% CI: 1.3, 3.4) times higher odds of SO. Youth with SO had unhealthier subscale scores among 6 of 10 constructs, including nutritional, physical activity, sedentary, and sleep behaviours. CONCLUSIONS: Results suggest a consistent inverse relationship between the FNPA and adiposity among youth presenting for weight management. The FNPA is a useful metric for programs and clinicians targeting family behaviours and the home environment to combat obesity.

Problem Video Gaming Among Children Enrolled in Tertiary Weight Management Programs.

Prior studies show seven percent to nine percent of children demonstrate gaming behaviors that affect a child's ability to function (e.g., problem gaming), but none have examined the association between problem gaming and weight status. The objective of this study was to determine the prevalence of problem gaming among children enrolled in tertiary weight management programs. We administered a computer-based survey to a convenience sample of children aged 11-17 years enrolled in five geographically diverse pediatric weight management (PWM) programs in the COMPASS (Childhood Obesity Multi-Program Analysis and Study System) network. The survey included demographics, gaming characteristics, and a problem gaming assessment. The survey had 454 respondents representing a diverse cohort (53 percent females, 27 percent black, 24 percent Hispanic, 41 percent white) with mean age of 13.7 years. A total of 8.2 percent of respondents met criteria for problem gaming. Problem gamers were more likely to be white, male, play mature-rated games, and report daily play. Children in PWM programs reported problem gaming at the same rate as other pediatric populations. Screening for problem gaming provides an opportunity for pediatricians to address gaming behaviors that may affect the health of children with obesity who already are at risk for worsened health and quality of life.