Validation of remote child weight and height measurements within a weight management trial.

OBJECTIVE: The aim of this substudy within the Treatment Efforts Addressing Child Weight Management by Unifying Patients, Parents, and Providers (TEAM UP) pragmatic clinical trial was to compare the validity of anthropometric measurements collected remotely versus in person (≤7 days apart) among youth with obesity who were 6 to 15 years of age. METHODS: Child (n = 37) weight and height were measured in person by a trained data assessor. These were compared with measurements taken remotely by the child's parent with live videoconferencing observation by a study data assessor. In-person and remote measurements were compared using Bland-Altman plots, Pearson correlations, and two one-sided paired t tests. A priori bounds of acceptability were set at ±0.68 kg to allow for typical weight fluctuations within the 7-day comparison period. RESULTS: Measurements were highly correlated (height: r = 0.991, p < 0.0001; weight: r = 0.999; p = 0.03). For height, two one-sided t tests for upper, t(36) = 3.95, and lower, t(36) = -2.63, bounds (-1, 1) revealed an overall p = 0.006; absolute error was 3.5 cm. For weight, two one-sided t tests for upper, t(36) = 1.93, and lower, t(36) = -7.91, bounds (-0.68, 0.68) revealed an overall p = 0.03; absolute error was 1.7 kg. CONCLUSIONS: The present findings support the utility and interpretation of remotely assessed weight management outcomes for both research and clinical purposes. These procedures may offer greater accessibility to evidence-based measurement.

Parents, but not their children, demonstrate greater delay discounting with resource scarcity.

BACKGROUND: Individuals with obesity tend to discount the future (delay discounting), focusing on immediate gratification. Delay discounting is reliably related to indicators of economic scarcity (i.e., insufficient resources), including lower income and decreased educational attainment in adults. It is unclear whether the impact of these factors experienced by parents also influence child delay discounting between the ages of 8 and 12-years in families with obesity. METHODS: The relationship between indices of family income and delay discounting was studied in 452 families with parents and 6-12-year-old children with obesity. Differences in the relationships between parent economic, educational and Medicaid status, and parent and child delay discounting were tested. RESULTS: Results showed lower parent income (p = 0.019) and Medicaid status (p = 0.021) were differentially related to greater parent but not child delay discounting among systematic responders. CONCLUSIONS: These data suggest differences in how indicators of scarcity influence delay discounting for parents and children, indicating that adults with scarce resources may be shaped to focus on immediate needs instead of long-term goals. It is possible that parents can reduce the impact of economic scarcity on their children during preadolescent years. These findings suggest a need for policy change to alleviate the burden of scarce conditions and intervention to modify delay discounting rate and to improve health-related choices and to address weight disparities.

Key Predictors of Primary Care Providers' Self-Efficacy in Caring for Children with Overweight or Obesity.

OBJECTIVE: Self-efficacy is a crucial factor in enabling pediatric primary care providers (PCPs) to deliver recommended care to children with overweight and obesity. This study, conducted with a large, national sample of PCPs, aimed to identify key factors, which may contribute to PCP self-efficacy for obesity-related care, from a list of previously reported barriers and facilitators. METHODS: A national random sample of American Academy of Pediatrics members was surveyed in 2017 (analytic n = 704). Factor analysis was used to identify self-efficacy variables from relevant indicators and assess fit. Multivariable linear regression analyses were conducted to identify key predictors of PCP self-efficacy from reported facilitators or barriers to care, including characteristics of the PCP, practice, community, and payment systems. RESULTS: Two PCP self-efficacy variables were identified: health risk assessment and patient-centered counseling. Both were positively predicted by relevant training, the belief that pediatricians play an important role in obesity, and awareness of barriers to payment for dietitians or weight management programs. Both were negatively predicted by a perceived lack of available PCP time for counseling and inadequacy of available referral resources to assist with treatment. Additional predictors of counseling self-efficacy included PCP beliefs that they are paid for treatment (+) and that patients/families lack time for healthy behaviors (-). Electronic health record clinical decision supports or registries and patient social disadvantage were not predictive. CONCLUSIONS: Results suggest multiple potential roles and strategies for local and national organizations seeking to facilitate improvements to PCP self-efficacy in caring for children with overweight and obesity.

US Pediatrician Practices and Attitudes Concerning Childhood Obesity: 2006 and 2017.

OBJECTIVE: To compare primary care pediatricians' practices and attitudes regarding obesity assessment, prevention, and treatment in children 2 years and older in 2006 and 2017. STUDY DESIGN: National, random samples of American Academy of Pediatrics members were surveyed in 2006, 2010, and 2017 on practices and attitudes regarding overweight and obesity (analytic n = 655, 592, and 558, respectively). Using logistic regression models (controlling for pediatrician and practice characteristics), we examined survey year with predicted values (PVs), including body mass index (BMI) assessment across 2006, 2010, and 2017 and practices and attitudes in 2006 and 2017. RESULTS: Pediatrician respondents in 2017 were significantly more likely than in 2006 and 2010 to report calculating and plotting BMI at every well-child visit, with 96% of 2017 pediatricians reporting they do this. Compared with 2006, in 2017 pediatricians were more likely to discuss family behaviors related to screen time, sugar-sweetened beverages, and eating meals together, P < .001 for all. There were no observed differences in frequency of discussions on parental role modeling of nutrition and activity-related behaviors, roles in food selection, and frequency of eating fast foods or eating out. Pediatricians in 2017 were more likely to agree BMI adds new information relevant to medical care (PV = 69.8% and 78.1%), they have support staff for screening (PV = 45.3% and 60.5%), and there are effective means of treating obesity (PV = 36.3% and 56.2%), P < .001 for all. CONCLUSIONS: Results from cross-sectional surveys in 2006 and 2017 suggest nationwide, practicing pediatricians have increased discussions with families on several behaviors and their awareness and practices around obesity care.

Calculating a Continuous Metabolic Syndrome Score Using Nationally Representative Reference Values.

OBJECTIVE: The prevalence of metabolic syndrome in youth varies on the basis of the classification system used, prompting implementation of continuous scores; however, the use of these scores is limited to the sample from which they were derived. We sought to describe the derivation of the continuous metabolic syndrome score using nationally representative reference values in a sample of obese adolescents and a national sample obtained from National Health and Nutrition Examination Survey (NHANES) 2011-2012. METHODS: Clinical data were collected from 50 adolescents seeking obesity treatment at a stage 3 weight management center. A second analysis relied on data from adolescents included in NHANES 2011-2012, performed for illustrative purposes. The continuous metabolic syndrome score was calculated by regressing individual values onto nationally representative age- and sex-specific standards (NHANES III). Resultant z scores were summed to create a total score. RESULTS: The final sample included 42 obese adolescents (15 male and 35 female subjects; mean age, 14.8 ± 1.9 years) and an additional 445 participants from NHANES 2011-2012. Among the clinical sample, the mean continuous metabolic syndrome score was 4.16 ± 4.30, while the NHANES sample mean was quite a bit lower, at -0.24 ± 2.8. CONCLUSIONS: We provide a method to calculate the continuous metabolic syndrome by comparing individual risk factor values to age- and sex-specific percentiles from a nationally representative sample.

Stigma Experienced by Children and Adolescents With Obesity.

The stigmatization of people with obesity is widespread and causes harm. Weight stigma is often propagated and tolerated in society because of beliefs that stigma and shame will motivate people to lose weight. However, rather than motivating positive change, this stigma contributes to behaviors such as binge eating, social isolation, avoidance of health care services, decreased physical activity, and increased weight gain, which worsen obesity and create additional barriers to healthy behavior change. Furthermore, experiences of weight stigma also dramatically impair quality of life, especially for youth. Health care professionals continue to seek effective strategies and resources to address the obesity epidemic; however, they also frequently exhibit weight bias and stigmatizing behaviors. This policy statement seeks to raise awareness regarding the prevalence and negative effects of weight stigma on pediatric patients and their families and provides 6 clinical practice and 4 advocacy recommendations regarding the role of pediatricians in addressing weight stigma. In summary, these recommendations include improving the clinical setting by modeling best practices for nonbiased behaviors and language; using empathetic and empowering counseling techniques, such as motivational interviewing, and addressing weight stigma and bullying in the clinic visit; advocating for inclusion of training and education about weight stigma in medical schools, residency programs, and continuing medical education programs; and empowering families to be advocates to address weight stigma in the home environment and school setting.

The Edmonton Obesity Staging System for Pediatrics: A proposed clinical staging system for paediatric obesity.

Traditionally, clinical recommendations for assessing and managing paediatric obesity have relied on anthropometric measures, such as body mass index (BMI), BMI percentile and/or BMI z-score, to monitor health risks and determine weight management success. However, anthropometric measures do not always accurately and reliably identify children and youth with obesity-related health risks or comorbidities. The authors propose a new clinical staging system (the Edmonton Obesity Staging System for Pediatrics, EOSS-P), adapted from the adult-oriented EOSS. The EOSS-P is used to stratify patients according to severity of obesity-related comorbidities and barriers to weight management into four graded categories (0 to 3) within four main health domains: metabolic, mechanical, mental health and social milieu (the 4Ms). The EOSS-P is based on common clinical assessments that are widely available and routinely completed by clinicians, and has the potential to provide clinical and prognostic information to help evaluate and inform the management of paediatric obesity.

D'ordinaire, les recommandations cliniques pour évaluer et prendre en charge l'obésité juvénile reposent sur des mesures anthropométriques, telles que l'indice de masse corporelle (IMC), le percentile d'IMC ou l'écart réduit de l'IMC, pour surveiller les risques sur la santé et déterminer la bonne gestion du poids. Cependant, les mesures anthropométriques ne permettent pas toujours de déterminer avec précision et fiabilité les enfants et les adolescents présentant des risques de santé ou des comorbidités liés à l'obésité. Les auteurs proposent un nouveau système clinique d'établissement du stade de l'obésité (le système d'Edmonton pour évaluer le stade de l'obésité, ou EOSS-P), adapté de l'EOSS destiné aux adultes. L'EOSS-P est utilisé pour stratifier les patients selon la gravité des comorbidités liées à l'obésité et les obstacles à la gestion du poids en quatre catégories (0 à 3) tirées de quatre grands domaines de santé : métabolique, mécanique, santé mentale et milieu social (les 4M). L'EOSS-P, qui repose sur des évaluations cliniques courantes généralisées souvent remplies par les cliniciens, peut fournir de l'information clinique et pronostique pour contribuer à évaluer et étayer la prise en charge de l'obésité juvénile.

US adolescent nutrition, exercise, and screen time baseline levels prior to national recommendations.

Experts have recommended daily obesity prevention goals: ≥5 fruits/vegetables, <2 hours of screen time, >1 hour of physical activity, and no sugar-sweetened beverages (5-2-1-0). The authors analyzed National Health and Nutrition Examination Survey data for 1999-2002 to determine the proportion of US adolescents (12-19 years) who would have met each goal prior to dissemination of the 5-2-1-0 recommendations. Merely 0.4% would have met all goals; 41% would have met none. Only 9% consumed ≥5 fruits/vegetables, 27% reported <2 hours of screen time, 32% had >1 hour of physical activity, and 14% consumed no sugar-sweetened beverages per day. Demographic subgroups (eg, racial/ethnic minority and lower income) would have been even farther from meeting the goals. Clinicians are likely to encounter adolescents with nutrition, exercise, and screen time behaviors that are far from 5-2-1-0 goals, and can use these guidelines during clinical encounters to counsel adolescents regarding healthier lifestyles.

Prevalence of overweight and obesity in adolescents with severe mental illness: a cross-sectional chart review.

OBJECTIVE: Pediatric obesity (body mass index [BMI] > or = 95th percentile for sex and age) and overweight (BMI > or = 85th percentile < 95% percentile) are priority public health targets for the prevention of diabetes and cardiovascular disease. We examined the prevalence and risk of overweight and obesity in adolescents with serious mental disorders. METHOD: Height, weight, demographic, diagnostic, and treatment data were reviewed for 114 adolescents attending a partial hospitalization program over 18 consecutive months between January 2003 and July 2004. Sample data were compared to normative National Health and Nutrition Examination Survey data and regional county data for BMI. Unadjusted odds ratios and their 95% CIs were calculated for each categorical risk factor using the chi-squared test. A logistic regression model was conducted to detect the effects of these risk factors on the occurrence of overweight and obesity. RESULTS: The combined prevalence of overweight and obesity was 55.4% (n = 63); the prevalence for obesity alone was 30% (n = 34), approximately double the rate in national and county norms. Lack of private insurance, smoking, and antidepressant and antipsychotic treatment were associated with overweight and obese status. CONCLUSIONS: Adolescents with severe mental illness are at increased risk for overweight and obesity. Identification of elevated BMI, associated risk factors, and efforts to prevent weight gain should begin at initiation of mental health treatment.

Underestimation of children's weight status: views of parents in an urban community.

OBJECTIVE: To examine the relationship between parents' underestimation of their child's weight status and concerns about their child's weight and health. METHODS: We conducted interviews with parents in an urban pediatric clinic (January through June 2006). Children's height and weight were measured at the visit using standard techniques. RESULTS: 193 children were included (response rate 87%, 18 months-9 years, 70% black); 31% of parents underestimated their child's weight status (46% of overweight children, 24% of normal weight). Parents of normal-weight children who underestimated were more likely to be concerned about their child's weight (39% vs 2.9%, P < .001) than those who did not underestimate. Parents of overweight children who underestimated were less likely to be concerned about their child's weight (7.7% vs 59%, P < .001) than those who recognized their children as overweight. CONCLUSIONS: Many parents continue to underestimate their child's weight status. These perceptions may present a barrier to the prevention of childhood obesity.

Association of the components of the metabolic syndrome with non-alcoholic fatty liver disease among normal-weight, overweight and obese children and adolescents.

OBJECTIVES: This study aimed to determine the prevalence of the metabolic syndrome, abnormalities of liver enzymes and sonographic fatty liver, as well as the inter-related associations in normal weight, overweight and obese children and adolescents. METHODS: This cross-sectional study was conducted among a sample of 1107 students (56.1% girls), aged 6-18 years in Isfahan, Iran. In addition to physical examination, fasting blood glucose, serum lipid profile and liver enzymes were determined. Liver sonography was performed among 931 participants. These variables were compared among participants with different body mass index (BMI) categories. RESULTS: From lower to higher BMI category, alanine aminotransferase (ALT), total cholesterol, LDL-cholesterol, triglycerides and systolic blood pressure increased, and HDL-cholesterol decreased significantly. Elevated ALT, aspartate aminotransferase (AST) and alkaline phosphatase (ALP) were documented in respectively 4.1%, 6.6% and 9.8% of normal weight group. The corresponding figure was 9.5%, 9.8% and 9.1% in overweight group, and 16.9%, 14.9% and 10.8% in obese group, respectively. In all BMI categories, ALT increased significantly by increasing the number of the components of the metabolic syndrome. Odds ratio for elevated liver enzymes and sonographic fatty liver increased significantly with higher number of the components of the metabolic syndrome and higher BMI categories before and after adjustment for age. CONCLUSIONS: Because of the interrelationship of biochemical and sonographic indexes of fatty liver with the components of the metabolic syndrome, and with increase in their number, it is suggested to determine the clinical impact of such association in future longitudinal studies.

Prevalence and trends of severe obesity among US children and adolescents.

OBJECTIVE: To determine the extent to which the 2007 definitions for severe obesity (body mass index [BMI] > or = 99th percentile for age and gender) and morbid obesity (BMI > or = 40kg/m(2)) affects different groups of American children and adolescents and has increased over time. METHODS: Analysis of nationally representative data from the National Health and Nutrition Examination Survey (NHANES) II, III, and 1999-2004; 12 384 US children and adolescents ages 2 to 19 years were included in the analysis. Outcome measures were the proportion of subjects with severe and morbid obesity, with age, gender, race, and poverty-income ratio (PIR) as key variables. RESULTS: In 1999-2004, 3.8% of children 2 to 19 years old had a BMI in the > or = 99th percentile, with higher prevalence among boys than girls (4.6% vs 2.9%; P < .001). Prevalence was highest among blacks, 5.7% and Mexican Americans, 5.2%, compared with whites, 3.1% (P < .001). The prevalence differed by the PIR category as well (4.3% for those with PIR < or = 3 vs 2.5% for those with PIR>3; P=.002). BMI > or = 40kg/m(2) was found in 1.3% of adolescents ages 12 to 19 years, with similar associations with race and poverty. The overall prevalence of BMI > or = 99th percentile has increased by more than 300% since NHANES II (1976), and over 70% since NHANES III (1994) in children 2 to 19 years of age. CONCLUSIONS: Rates of severe childhood obesity have tripled in the last 25 years, with significant differences by race, gender, and poverty. This places demands on health care and community services, especially because the highest rates are among children who are frequently underserved by the health care system.

Factors associated with insulin resistance and non-alcoholic fatty liver disease among youths.

OBJECTIVES: To compare the cardio-metabolic risk factors, fitness and lifestyle among adolescents with and without weight disorders and/or metabolic abnormality, and to identify the factors associated with insulin resistance and non-alcoholic fatty liver disease (NAFLD) in this age group. METHODS: This cross-sectional study comprised 100 adolescents (12-18 years) consisting of four subgroups of normal weight/obese with and without components of the metabolic syndrome. Fasting blood glucose, insulin, lipid profile, apolipoproteins A, B, CRP, oxidized-LDL, malondialdehyde and alanine aminotransferase (ALT) were examined. Cardiorespiratory fitness (CRF) and the sonographic findings of liver and carotid intima media thickness were determined. RESULTS: Overall 95 participants completed all tests. Serum lipids, lipoproteins, the markers of inflammation and oxidative stress as well as the C-IMT of normal weight children with a metabolic abnormality were similar to obese children. CRF had the highest inverse correlation with HOMA-IR and ALT. Physical activity and healthy eating index had similar inverse correlation with HOMA-IR and ALT. ApoB/ApoA-I had significant independent association with upper quartiles of HOMA-IR and ALT. Waist circumference and ApoB/ApoA-I ratio had the highest odds ratio in increasing the risk of insulin resistance and NAFLD, whereas CRF followed by healthy eating index decreased this risk significantly. C-IMT was significantly associated with insulin resistance and NAFLD. CONCLUSIONS: We found significant associations between insulin resistance and NAFLD, and similar risk factors and protective factors for these two inter-related disorders; in this regard the role of CRF and apolipoprotein B to apolipoprotein A-I (ApoB/ApoA-I) ratio in the pediatric age group is underscored.

Metabolically obese normal weight and phenotypically obese metabolically normal youths: the CASPIAN Study.

OBJECTIVES: The objectives of this study were to estimate the prevalence and distribution of cardiovascular risk factors and the metabolic syndrome in children with generalized, central, or combined types of obesity and to possibly discover if a phenotypically obese metabolically normal and a metabolically obese normal weight phenotype could be identified in children and adolescents. DESIGN: This cross-sectional study is the baseline survey of a national longitudinal study. SUBJECT/SETTING: Overall 4,811 nationally representative children, aged 6 to 18 years, were recruited from the community through randomly selected schools within six provinces in Iran. In addition to physical examination, fasting glucose and lipid profile were assessed. MAIN OUTCOME MEASURE: Obesity type was considered the independent variable, cardiovascular risk factors and the metabolic syndrome were dependent variables. Prevalence of risk factors in different types of obesity was compared by multivariate analysis of variance and post-hoc tests. Logistic regression analysis was used to examine the associations between obesity type and the metabolic syndrome. RESULTS: Varying with age and sex groups, 6% to 9% of children were categorized into the isolated central obesity group, 7.5% to 11% into the isolated generalized obesity, and 14% to 16.5% into the combined type group. The prevalence of dyslipidemia, high blood pressure, and metabolic syndrome was higher in those children with combined obesity than in those with the other two types of obesity, as well as in the central than in the generalized obesity groups. Phenotypically obese metabolically normal subjects were more prevalent in the generalized obesity group. The likelihood of metabolic syndrome was highest in those with combined obesity (odds ratio 3.7, 95% confidence interval 3.1 to 4), and lowest in generalized obesity group (odds ratio 2.1, 95% confidence interval 1.8 to 2.5). CONCLUSIONS: This study complements recent research about the adverse health hazards of abdominal obesity in children. The finding of metabolically obese normal weight children suggests that additional investigation for cardiovascular risk factors may be warranted in normal-weight children with an ethnic predisposition to chronic diseases.