Comparison of body mass index and fat mass index to classify body composition in adolescents-The EVA4YOU study.

The objectives of this study were to develop age- and sex-specific reference percentiles for fat mass index (FMI) and fat-free mass index (FFMI) in adolescents aged 14 to 19 years and to determine differences in overweight/obesity classification by FMI and body mass index (BMI). The EVA4YOU study is a single-center cross-sectional study conducted in western Austria. Cardiovascular risks including anthropometric measurements and bioelectrical impedance analysis were assessed in adolescents (mean age 17 years). FMI and FFMI were calculated as the ratio of fat mass (FM) and fat-free mass (FFM) to the square of height and compared to study population-specific BMI percentiles. One thousand four hundred twenty-two adolescents were included in the analysis. Girls had a significantly higher mean FM and FMI and a significantly lower mean FFM, FFMI (p < 0.001, each), and mean BMI (p = 0.020) than boys. Body composition classification by FMI and BMI percentiles shows a concordance for the < 75th and > 97th percentile, but a significant difference in percentile rank classifications between these two cut-off values (all p < 0.05). Based on FMI, 15.5% (221/1422) of the whole population and 29.4% (92/313) of those between the 75th and 97th percentiles are classified one category higher or lower than those assigned by BMI. CONCLUSION:  Classification of normal or pathologic body composition based on BMI and FMI shows good accordance in the clearly normal or pathologic range. In an intermediate range, FMI reclassifies categories based on BMI in more than a quarter of adolescents. Cut-off values to differentiate normal from pathologic FMI values on a biological basis are needed. TRIAL REGISTRATION: The study is registered at www. CLINICALTRIALS: gov  (Identifier: NCT04598685; Date of registration: October 22, 2020). WHAT IS KNOWN: • Chronic non-communicable diseases (NCDs) are the leading cause of morbidity and mortality globally, with major risk factors including unhealthy diets, harmful behaviors, and obesity. Obesity in children and adolescents is a key risk factor for later NCDs, which is commonly measured by Body Mass Index (BMI). • BMI can be misleading as it doesn't distinguish between fat mass (FM) and fat-free mass (FFM), leading to potential misclassification of obesity in children. Previous studies have already suggested the use of the Fat Mass Index (FMI) and Fat-Free Mass Index (FFMI) as a more accurate measures of body composition. WHAT IS NEW: • This study adds the first age- and sex-specific reference values for FMI and FFMI in Austrian adolescents using bioelectrical impedance analysis (BIA) as a safe and secure measurement method of a large representative cohort. • We found percentile misclassification between BMI and FMI when categorizing for obesity, especially in intermediate categories of body composition. Furthermore, when comparing the new reference values for FMI and FFMI to existing ones from the US, UK, and Germany we could show a good alignment within the European cohorts and major differences with American values, indicating and confirming the difference of FMI and FFMI for different populations of different ethnical background, living on different continents.

Tonsillectomy Outcomes for Children With Severe Obesity.

OBJECTIVES/HYPOTHESIS: To determine the success of an adenotonsillectomy (T&A) in treating children with severe obesity utilizing a more accurate obesity scale. STUDY DESIGN: Retrospective cohort. METHODS: A retrospective cohort of children with obesity between 5 and 10 years of age who underwent a T&A at Children's Hospital of Colorado (CHCO) was used. This study also utilized publicly available data from the Childhood Adenotonsillectomy Trial (CHAT) study. The cohort was divided into three obesity classes using age- and sex-specific body mass index (BMI) expressed as a percentage of the 95th percentile (%BMIp95) and compared for operative success differences. RESULTS: There were 132 patients included in our primary analysis, with obesity distribution as follows: Class 1 to 53 patients (40%), Class 2 to 45 patients (34%), and Class 3 to 34 patients (26%). Overall, 52 patients (35.9%) experienced a cure (obstructive apnea/hypopnea index [OAHI] <1), with 27 (52%) patients in Class 1 obesity, 18 (35%) in Class 2, and 7 (13%) in Class 3. Class 3 had a significantly lower obstructive sleep apnea cure rate compared with Class 1 patients (P = .013), but after adjusting for covariates, this difference was no longer present (P > .05). There was no significant difference in the preoperative to postoperative percent change in mean oxygen saturation (P = .82 CHCO, P = .43 CHAT), oxygen nadir (P = .20 CHCO, P = .49 CHAT), or OAHI (P = .12 CHCO, P = .26 CHAT) between the obesity classes. CONCLUSION: After adjusting for covariates, children with Class 3 obesity are as likely to be cured with a T&A as those with Class 1 obesity. A T&A should be considered a first line treatment for all children with obesity. LEVEL OF EVIDENCE: 3 Laryngoscope, 132:461-469, 2022.

Stratification by obesity class, rather than age, can identify a higher percent of children at risk for non-alcoholic fatty liver disease and metabolic dysfunction.

BACKGROUND: An increasing number of clinical practice guidelines recommend screening children with obesity for non-alcoholic fatty liver disease (NAFLD). However, there is limited evidence regarding what parameters should be used to initiate the screening. OBJECTIVE: The objective of this study was to determine whether obesity class rather than age group can identify a higher percent of children at risk of NAFLD as assessed by abnormal alanine aminotransferase (ALT). METHODS: This is a cross-sectional study in a regional referral clinic for evaluation of obesity. Children were stratified by age group or by obesity class, and data obtained at first visit were analysed. RESULTS: Of the 784 children, 482 were ≥10, 209 were 6 to 9 and 93 were 2 to 5 years of age. Abnormal ALT was observed in 32.1%, 46.9% and 61.0% of children with class I, II or III obesity, respectively (p < 0.001), while the risk of abnormal ALT did not differ in very young (2-5), young (6-9), or children older than 10 years. A multivariable analysis showed that class II and class III obesity were associated with 2.1-fold (1.27-3.72) and 4-fold (2.41-6.96) greater odds of abnormal ALT compared with class I obesity. African-American children had lower risk of abnormal ALT (0.27), whereas Hispanic children had higher risk (2.37). Obesity class was a better predictor of abnormal ALT than age, especially in girls. Furthermore, 66.7% of boys (p = 0.009) and 69% of girls (p < 0.001) with abnormal ALT exhibited additional signs of metabolic dysfunction. CONCLUSION: Obesity class is more strongly associated with abnormal ALT than age.

Comportamiento del sobrepeso y la obesidad en niños y adolescentes. Policlínico Docente Héroes del Moncada. 2019 / Behavior of overweight and obesity in children and adolescents. Teaching Polyclinic Heroes del Moncada. 2019

RESUMEN Introducción: la obesidad es considerada como un problema de salud pública. Por lo general, tiende a comenzar desde edades tempranas. La Organización Mundial de la Salud la ha definido como la epidemia del siglo XXI, por las dimensiones que ha adquirido en las últimas décadas y su impacto en la morbimortalidad, en la calidad de vida y en el elevado costo sanitario. Desde 1973, la incidencia de obesidad a escala mundial se ha triplicado. Objetivo: caracterizar el comportamiento de la obesidad y el sobrepeso en menores de 19 años, en el Consultorio 12 del Policlínico Docente Héroes del Moncada, de Cárdenas, en 2019. Materiales y métodos: se realizó un estudio descriptivo, transversal, en el período de junio de 2018 a junio de 2019. El universo estuvo constituido por 68 niños de 0 a 19 años, con antecedentes de sobrepeso y obesidad. Resultados: el grupo de edades más afectado fue el de los niños de 0 a 4 años; ambos sexos tuvieron igual comportamiento. La mayoría de los niños no realizaba ejercicios físicos. Los alimentos más consumidos fueron los azucarados y los carbohidratos. El factor genético estuvo presente en todos los participantes. Conclusiones: para la prevención de obesidad en la infancia, Cuba cuenta con un primer nivel de atención accesible a toda la población. Se considera que se debe aprovechar esta fortaleza y realizar una labormás enérgica con la familia y la interacción de equipos interdisciplinarios, donde intervengan nutriólogos y licenciados en Educación Física, para así evitar este mal entre los niños y jóvenes (AU).

ABSTRACT Introduction: Obesity is considered a public health problem. In general, it tends to start from early ages. The World Health Organization has defined it as the epidemic of the 21st century due to the dimensions it has acquired in recent decades, and its impact on morbidity, mortality, in life quality, and its high sanitary cost. Since 1973, the incidence of obesity worldwide has increased three times. Objective: to characterize obesity and overweight behavior in children and adolescents aged less than 19 years, form the Family Medical Office 12 of the Teaching Polyclinic Héroes del Moncada, of Cardenas, in 2019. Materials and methods: a descriptive, cross-sectional study was carried out in the period from June 2018 to June 2019. The universe was formed by 68 children aged 0-19 years, with antecedents of overweight and obesity. Results: the most affected age group was the one formed by children aged 0-4 years; both sexes behaved the same. Most of children did not exercised. The most consumed foods were sugar and carbohydrates. The genetic factor was present in all the participants. Conclusions: for preventing obesity in childhood, Cuba has a first health care level accessible to the whole population. The authors consider that this strength should be used, and more active work should be carried out with the family and the interaction of an interdisciplinary team integrated by nutritionists and graduated of Physical Education, to avoid this condition among children and youth (AU).

Infancy and Childhood Obesity Grade Predicts Weight Loss in Adulthood: The ONTIME Study.

We examined the relationships between intergenerational obesity, weight and size at birth, and obesity from infancy to adolescence with weight loss in response to a dietary intervention. We studied 4264 participants (3369 women; mean age 41.5 ± 12.9 years) of the ONTIME study. Participants followed a weight-loss treatment based on a Mediterranean diet. Associations between grandparental and parental obesity grade, birth weight and size, and obesity grade in infancy, childhood and adolescence with total weight loss in response to treatment were assessed, using multivariate linear regression models. A lower weight loss (kg) in response to treatment was found among participants who were obese during infancy (beta coefficient -2.13 kg; 95% CI, -3.96, -0.30; p = 0.023). Furthermore, obesity during infancy and also during childhood was associated with a slower weekly rate of weight loss during treatment (p < 0.05). In conclusion, obesity in infancy and in childhood impairs the weight-loss response to dietary treatments in adulthood. Tackling obesity throughout early life may improve the effectiveness of weight-loss interventions in adulthood.

Socioeconomic position and body composition in childhood in high- and middle-income countries: a systematic review and narrative synthesis.

BACKGROUND: The relation between socioeconomic position (SEP) and obesity measured by body mass index (BMI), a measure of weight for height, has been extensively reviewed in children, showing consistent associations between disadvantaged SEP and higher BMI in high-income countries (HICs) and lower BMI in middle-income countries (MICs). Fat mass (FM), a more accurate measure of adiposity, and fat-free mass (FFM) are not captured by BMI, but have been shown to track from childhood to adulthood, and be important for cardiovascular health and functional outcomes in later life. It is not clear whether body composition is associated with SEP. We systematically reviewed the association between SEP and body composition in childhood. METHODS: A systematic review was carried out following PRISMA guidelines. The protocol was pre-registered with PROSPERO (CRD42019119937). Original studies in the English language, which examined the association between SEP and body composition in childhood, were included. An electronic search of three databases was conducted. Two independent reviewers carried out screening, data extraction and quality assessment. Due to heterogeneity in results, a narrative synthesis was conducted. Heterogeneity in findings according to SEP, sex, body composition measure and country income level was investigated. RESULTS: 50 papers were included, the majority from HICs. No papers were from low-income countries. Disadvantage in childhood was associated with greater FM and lower FFM in HICs, but with lower FM and lower FFM in MICs. When measures of FFM indexed to height were used there was no evidence of associations with SEP. In HICs, more studies reported associations between disadvantaged SEP and higher FM among girls comparative to boys. CONCLUSIONS: Inequalities in FM are evident in HICs and, in the opposite direction, in MICs and follow similar trends to inequalities for BMI. Inequalities in height are likely important in understanding inequalities in FFM.

Association of sedentary patterns with body fat distribution among US children and adolescents: a population-based study.

BACKGROUND/OBJECTIVES: Children and adolescents spend a substantial amount of time being sedentary. The impact of prolonged sedentary patterns on fat distribution has not been elucidated especially in the context of physical activity level. Our objective is to examine the independent and joint associations of prolonged sedentary patterns and physical activity level with fat distribution among children and adolescents. SUBJECTS/METHODS: This included US children (8-11 years) and adolescents (12-19 years) from the National Health and Nutrition Examination Survey 2003-2006. Sedentary patterns comprise accelerometer-measured average sedentary bout duration and self-reported time of sitting watching TV/videos. Fat distribution (trunk and total fat percentage) was determined via dual X-ray absorptiometry. RESULTS: Among 810 children and 2062 adolescents, average sedentary bout duration was associated with greater total and trunk fat percentages only among male children, after adjusting for moderate-to-vigorous physical activity (MVPA) level by accelerometer. Prolonged sitting watching TV/videos was associated with higher total and trunk fat percentages in male children and all adolescents, independent of levels of MVPA (all P for trend <0.05). Compared with ≤1 h/day, male children who spent ≥4 h/day sitting watching TV/videos had 4.43% higher trunk fat (95% CI, 1.69-7.17%), with similar associations for female (3.53%; 95% CI, 1.03-6.03%) and male adolescents (4.78%; 95% CI, 2.97-6.60%). About 13-17% children and adolescents spent <1 h on MVPA and ≥4 h sitting watching TV/videos per day. Compared with the most active group (MVPA ≥ 1 h/day and sitting watching TV/videos ≤1 h/day), trunk fat in this least active group was 6.21% higher in female children, 9.90% higher in male children, 6.84% higher in female adolescents, and 5.36% higher in male adolescents. CONCLUSIONS: Prolonged time spent on sitting watching TV/videos was associated with fat accumulation among children and adolescents, independent of physical activity level.

Relationship of age at menarche and serum leptin with the metabolically unhealthy phenotype in adolescents.

INTRODUCTION: Objective: to analyze the relationship of age at menarche and leptin with the metabolically healthy (MH) and metabolically unhealthy (MUH) phenotypes in adolescent girls in different body mass index (BMI) categories. Method: an observational and cross-sectional study consisting of 139 female adolescents attended to at the Adolescent Reference Center in Macaé, Rio de Janeiro. Menarche was classified as early (EM) when the first menstruation occurred at or before 11 years of age; normal menarche (NM) was categorized at ages 12 to 14; menarche was considered late (LM) when it occurred at age 15 or older. The factors required to ascertain the subjects' phenotype, as well as their leptin levels, weight, and height, were measured and their BMIs were calculated. The girls were classified as MH or MUH based on the NCEP-ATP III criteria as adapted for children and adolescents. Results: 82 % (n = 114) of the girls were classified as MH and 18 % (n = 25) as MUH. Mean age at menarche was 11.79 ± 1.39 years. There was a higher prevalence of MUH amongst the girls who had EM (p = 0.04). A higher inadequacy of serum leptin concentrations was found in girls who had EM (p = 0.05) and in those classified as MUH (p = 0.01). The adolescents who were severely obese exhibited inadequate leptin levels (p < 0.01) and had gone through EM (p = 0.02). A total of 8.1 % (n = 7) of the normal-weight girls were classified as MUH, and 29.4 % (n = 5) of those who were severely obese were classified as MH (p < 0.01). Conclusion: early menarche and high serum leptin concentrations are related with the MUH phenotype in adolescent girls in different BMI categories.

INTRODUCCIÓN: Objetivo: analizar la relación de la edad de la menarquia y los niveles de leptina con los fenotipos metabólicamente saludables (MS) y metabólicamente no saludables (MNS) en adolescentes de diferentes categorías de índice de masa corporal (IMC). Método: estudio observacional y transversal compuesto por 139 adolescentes de sexo feminino, atendidas en el Centro de Referencia para Adolescentes de Macaé, Río de Janeiro. La menarquia se clasificó como precoz (MP) cuando se produjo la primera menstruación a o antes de los 11 años de edad; la menarquia normal (MN) se clasificó como aquella sucedida a la edad de 12 a 14 años; la menarquia se consideró tardía (MT) cuando ocurrió a los 15 años o más. Se midieron los factores necesarios para determinar el fenotipo de los sujetos, y se midieron sus niveles de leptina, peso y altura, y se calculó su IMC. Las adolescentes se clasificaron como MS y MNS según los criterios de NCEP-ATP III, adaptados para niños y adolescentes. Resultados: el 82 % (n = 114) de las adolescentes se clasificaron como MH y el 18 % (n = 25) como MUH. La edad media de la menarquia fue de 11,79 ± 1,39 años. Hubo una mayor prevalencia de MUH entre las adolescentes que tenían MP (p = 0,04). Se encontró una mayor insuficiencia de las concentraciones séricas de leptina en las adolescentes que tenían MP (p = 0,05) y en aquellas clasificadas como MNS (p = 0,01). Las adolescentes que eran severamente obesas exhibieron niveles inadecuados de leptina (p < 0,01) y habían pasado por una MP (p = 0,02). El 8,1 % (n = 7) de las adolescentes de peso normal se clasificaron como MNS y el 29,4 % (n = 5) de las que eran severamente obesas se clasificaron como MS (p < 0,01). Conclusión: la menarquia temprana y las altas concentraciones séricas de leptina están relacionadas con el fenotipo MNS en las adolescentes de diferentes categorías de IMC.

Assessment of body mass index in a pediatric population aged 7-17 from Ukraine according to various international criteria-A cross-sectional study.

Childhood obesity is one of the most serious public health problems. The prevalence of obesity among children is increasing and may negatively affect their immediate health, but it can also lead to obesity in adulthood. The aim of the study was to compare BMI cut-off points by examining three main international references: the World Health Organization (WHO), the International Task Force Obesity (IOTF) and the US Center for Disease Control and Prevention (CDC). Ultimately, the study group consisted of 18,144 children and adolescents aged 6.5-17.5 years. Body mass was measured on medical scales with an accuracy of ± 100 g and height measurement was taken using a height meter with an accuracy of ± 0.1 cm three times. Underweight, overweight and obesity were calculated according to WHO, IOTF and CDC BMI international references. There were differences in the incidence of underweight between the classifications: 16.8% according to IATF, 5.3% according to WHO and 9.9% according to CDC. There were also differences in the incidence of overweight and obesity between the classifications: 13% according to IOTF, 19.7% according to WHO and 14.1% according to CDC. In the CDC and WHO studies, a significantly higher prevalence of childhood obesity (4.0% and 4.7%, respectively) was observed compared with IOTF (2.1%). The prevalence of overweight and obesity in this study was higher among boys compared to girls. However, estimates of prevalence of overweight and obesity differ in methods and reference cut-off points. Higher prevalence was obtained in IOTF classification, followed by the WHO and CDC classification.

Metabolic Syndrome in Children and Adolescents: Is There a Universally Accepted Definition? Does it Matter?

The concept of metabolic syndrome (MetS) as a cluster of cardiovascular risk factors (obesity, altered glucose metabolism, dyslipidemia, and hypertension) has been around for more than 30 years. It is considered to be the result of complex interactions between centrally located fat, insulin resistance, subclinical inflammation, and other factors in genetically predisposed individuals. MetS diagnosis in adults has been linked to increased risk for cardiovascular disease (CVD) and type 2 diabetes mellitus (T2D). However, MetS in children and adolescents remains a controversial issue despite the extensive research in the field. It is still uncertain which definition should be used for its diagnosis in this age group, what is the clinical significance of such a diagnosis, and how reliably it can predict the future risk of developing CVD and T2D. Even if a child is diagnosed with MetS, management includes addressing each of the syndrome's components individually with weight loss and lifestyle modifications as the basic approach. Co-morbid conditions, such as nonalcoholic fatty liver disease, obstructive sleep apnea, and polycystic ovary syndrome should also be considered. It seems that MetS in children and adolescents should be used clinically as a conceptual framework for the identification of risk factors clustered around obesity and insulin resistance rather than a syndrome that needs to be diagnosed by measuring absolute "all-or-none" criteria.

Cardiovascular Implications in Idiopathic and Syndromic Obesity in Childhood: An Update.

Childhood obesity is a modern worldwide epidemic with significant burden for health. It is a chronic metabolic disorder associated with multiple cardiovascular risk factors such as dyslipidemia, hypertension, stroke, and insulin resistance. Many obese adolescents remain obese into adulthood, with increased morbidity and mortality. As childhood obesity is a risk factor for adult obesity, the childhood obesity-related disorders account for an increased risk of cardiovascular consequences in adults, in addition to the effects already exerted by the fat mass in adulthood. Several papers have already described the cardiovascular implications of idiopathic obesity, while few data are available about syndromic obesity, due to the small sample size, not homogeneous phenotypes, and younger age at death. The aim of this mini-review is to give a comprehensive overview on knowledge about cardiovascular implications of idiopathic and syndromic obesity to allow the reader a quick comparison between them. The similarities and differences will be highlighted.

Overweight and obesity of school-age children in El Salvador according to two international systems: a population-based multilevel and spatial analysis.

BACKGROUND: The World Health Organization (WHO-2007) and the International Obesity Task Force (IOTF-Cole) systems assess child weight status. However, derived estimations often differ. We aimed to a) compare the prevalence of overweight and obesity, b) analyze individual and contextual factors associated with child weight using multilevel analysis and c) explore the spatial distribution of overweight and obesity using both classification systems. METHODS: We used data from the 2015/2016 National School Height and Weight Census in El Salvador. Information on 111,991 children aged 6.0-9.9 years attending the first grade was analyzed. Body mass index Z-score (BMIZ), overweight and obesity were defined with both classification systems. Weighted kappa was used to measure agreement. Child, school and municipal potential determinants of BMIZ were examined by multilevel analysis. Municipal spatial clustering of overweight and obesity was tested using Moran's Index and Getis-ord Gi* statistics. RESULTS: The combined prevalence of overweight and obesity was higher according to the WHO system than the IOTF (30.4% vs 23.1%). The weighted kappa was 0.83. Boys, children attending urban schools, children attending private schools, and children residing in municipalities with high human development index had higher BMIZ than their counterparts. The Moran's indexes were positives and significant. Clusters of high prevalence (above the national prevalence) of overweight and obesity were found in 29 municipalities using the WHO and IOTF systems. For obesity, 28 and 23 municipalities in clusters of high prevalence were detected using the WHO and IOTF criteria, respectively. CONCLUSIONS: Overweight and obesity is high among school-age children in El Salvador. The prevalence of overweight and obesity was higher when using the WHO system, as compared to the IOTF system. Irrespective of the classification system, the multilevel and spatial analysis derived similar interpretations. These results support the need for national preventive interventions with targeting strategies to reduce overweight and obesity in school-age children.

Correlation between body mass index, neck circumference, and waist-hip ratio as indicators of obesity among a cohort of adolescent in Bahrain: A preliminary cross-sectional study.

Neck circumference (NC) is an attractive method for determining overweight and obesity in school age children because it is inexpensive and culturally acceptable. However, this technique has not been assessed for its accuracy in school children from countries of the Gulf Cooperation Council, which have high prevalence of overweight and obesity.The aim of this preliminary study was to investigate the correlation between the body mass index (BMI), NC, and waist-hip ratio and demographic characteristics among 10- to 18-year-old adolescent school children in Bahrain.BMI was calculated using Center of Disease Control and Prevention Children's BMI Tool for Schools. Data was collected for a total of n = 397 adolescents from 4 different private schools with an average age of 12.91 years; 57.7% were male and 42.3% female.In this sample of adolescents, 50.1% were either overweight (21.4%) or obese (28.7%). BMI was significantly associated with waist-hip ratio (P < .01), gender (P < .05), and age (P < .01). Multiple linear regressions revealed that NC was significantly associated with age (P < .001) and less so with gender (P = .071) and BMI was significantly associated with NC (P < .01), gender (P < .01), and age (P < .05). Analysis of the receiver operating characteristic for males and females combined showed fair sensitivity and specificity (Area under the curve (AUC) = 0.707; 95% CI: 0.656, 0.758).NC is weakly correlated with BMI, and only a fair instrument for identifying overweight/obesity based on receiver operating characteristic curve analysis. Therefore, NC could only be used as an adjunct screening tool for weight status in this sample.

Parental Perception of Children's Weight Status: Love Overpasses Scientific Evidence! A Cross-Sectional Observational Study.

INTRODUCTION: Age, gender, body mass index percentiles and the adherence to Mediterranean diet were investigated as potential predictor factors in this assessment. AIM: To assess the parental perception of children's weight status. METHODS: This cross-sectional observational study was carried out during a corporate wellness program (Ferrari Formula Benessere) implemented by Ferrari S.p.A. and managed by Med-Ex s.r.l. The children's real weight status was assessed through Body Mass Index percentiles (ArthroPlus software-WHO). RESULTS: 328 children (66.4%) were normal-weight, 10 were underweight (2%), 66 were overweight (13.4%) and 90 were obese (18.2%). 289 children (59%) were classified correctly by parents, while 205 children (41%) were not. 64 of 66 overweight children and 90 of 90 children with obesity have been completely underestimated (53 of 90 children with obesity were judged normal weight). The parents' probability to estimate children's weight status correctly decreased increasing body mass index percentiles paradoxically [OR = 0.96 (0.95-0.97)] and was lower in boys [OR = 0.65 (0.44-0.98)]. Although not statistically significant, children with higher adherence to Mediterranean diet seems to have higher probability to be correctly estimated [low adherence: reference, medium adherence: OR = 1.06 (0.61-1.85), high adherence: OR = 1.48 (0.81-2.75)]. CONCLUSIONS: A high percentage of children is overweight or obese and almost half of parents classified their weight status incorrectly. Increasing children's body mass index percentiles decreases the probability to be correctly classified.

Integrated total body composition versus Body Mass Index in young athletes.

BACKGROUND: The aim of this study was to assess if the evaluation of Body Mass Index is sufficient to define an overweight index in young athletes, or if a more effective evaluation is preferable in order to examine body fat mass, free-fat mass and hydration status in young athletes. METHODS: Two hundred ninety-nine young athletes between the ages of 8 to 18 have been analyzed in this study. Data from evaluation in body composition of young athletes were studied and subdivided by age, sex and method used. In order to measure body composition in young people, the participants who attend our Department for sport eligibility examination, were evaluated through anthropometric measurements as far as, fat mass, fat-free mass and hydration status are concerned. RESULTS: The statistical differences showed with Body Mass Index and body fat assessment reflect that more accurate evaluation is preferable: the normal-weight with Body Mass Index are 78.0%, overweight 18.7% and obese 3.3% respect to a 75.0%, 14.0% and 11.0% detected with a body fat evaluation (P<0.000); statistical differences have been found also subdividing the group per sex, higher in males (P=0.046) than to females (P<0.000). Bio-impedance data shown a statistical differences in young obese athletes. CONCLUSIONS: The results obtained show clearly that the analysis of the Body Mass Index is not sufficient in young athletes. Therefore, for young athletes a full assessment of body composition would be appropriate to reduce classific-tion errors.

Child Body Fat and Body Mass Index: Which Determinants are Most Important?

The purpose of this study was to examine child and parent determinants of children's body fat percentage (BF%) along with their body mass index percentile (BMIp). Children's BF% and BMIp auger lifelong health risks when elevated, and one in five children are affected. Participants (N = 135) included 62% female children; 50.7% Caucasian, 31.7% Hispanic, and 8.5% African American. Children were aged 9-15 years (2% underweight, 47.9% normal weight, 19.7% overweight, and 24.6% obese). Parent BMI average was 30.67 (1.4% underweight, 20.4% normal weight, 23.9% overweight, 40% obese, and 7% extreme obesity); 77.5% of the participating parents were mothers. Following multiple imputations, path analyses were conducted of child and parent determinants of children's BF% and BMIp. Children's BF% and BMIp were related to parents' concern about overweight and children's perception of that concern. For children of overweight or obese parents, who are at highest risk for obesity, assessing the parents' concern is the highest priority.

Obesity class versus the Edmonton Obesity Staging System for Pediatrics to define health risk in childhood obesity: results from the CANPWR cross-sectional study.

BACKGROUND: Disease severity in paediatric obesity is usually defined using the body-mass index (BMI). Although informative at the population level, its usefulness on an individual level has limitations. The use of a clinical staging system-Edmonton Obesity Staging System for Pediatrics (EOSS-P)-in identifying health risk has been proposed. This study aimed to examine the association between BMI class and EOSS-P stage. METHODS: This cross-sectional study was done in children with obesity aged 5-17 years who enrolled in the Canadian Pediatric Weight Management Registry (CANPWR) between May 31, 2013, and Oct 27, 2017, involving ten multidisciplinary paediatric weight management clinics in Canada. We classified participants into WHO BMI classes (class I as 2-3 SD scores, class II as >3 SD scores, and class III as >4 SD scores above the WHO growth standard median), and applied the EOSS-P staging system (stages 0, 1, and 2/3) based on the clinical assessment of coexisting metabolic, mechanical, mental health, and social milieu issues. Clinical information was extracted from medical records and reported using standardised case report forms. Associations of BMI class with EOSS-P stage were examined in children with complete data. FINDINGS: Of the 847 children with complete data, 546 (64%) had severe obesity based on BMI class (ie, class II or III) and 678 (80%) were EOSS-P stage 2/3. Stage 2/3 obesity-related health issues were common; mental health concerns were most common (520 [61%] of 847 children), followed by metabolic (349 [41%] of 847 children), social milieu (179 [21%] of 847 children), and mechanical (86 [10%] of 847 children) health issues. Mental health issues (eg, anxiety and attention-deficit hyperactivity disorder) were equally distributed across BMI classes, metabolic health issues were slightly more common in higher BMI classes, and mechanical (eg, musculoskeletal issues and sleep apnoea) and social milieu (eg, bullying and low household income) issues increased with increasing BMI class. Of children with class I obesity, 206 (76%) of 270 had overall EOSS-P stage 2/3, compared with 195 (85%) of 229 with class III obesity. INTERPRETATION: Physical and mental health issues were highly prevalent among children with obesity irrespective of BMI class. Participants with class III obesity carried the greatest health risk across subcategories of the EOSS-P. As BMI class increased, a concomitant increased disease burden in mechanical and social milieu issues was observed, whereas metabolic and mental health risks were high across BMI classes. FUNDING: Canadian Institutes of Health Research, Ontario Ministry of Health, McMaster University, and McMaster Children's Hospital.

Body mass index classification misses to identify children with an elevated waist-to-height ratio at 5 years of age.

BACKGROUND: Abdominal adiposity is an important risk factor in the metabolic syndrome. Since BMI does not reveal fat distribution, waist-to-height ratio (WHtR) has been suggested as a better measure of abdominal adiposity in children, but only a few studies cover the preschool population. The aim of the present study was to examine BMI and WHtR growth patterns and their association regarding their ability to identify children with an elevated WHtR at 5 years of age. METHODS: A population-based longitudinal birth cohort study of 1540 children, followed from 0 to 5 years with nine measurement points. The children were classified as having WHtR standard deviation scores (WHtRSDS) <1 or ≥1 at 5 years. Student's t-tests and Chi-squared tests were used in the analyses. RESULTS: Association between BMISDS and WHtRSDS at 5 years showed that 55% of children with WHtRSDS ≥1 at 5 years had normal BMISDS (p < 0.001). Children with WHtRSDS ≥1 at 5 years had from an early age significantly higher mean BMISDS and WHtRSDS than children with values <1. CONCLUSIONS: BMI classification misses every second child with WHtRSDS ≥1 at 5 years, suggesting that WHtR adds value in identifying children with abdominal adiposity who may need further investigation regarding cardiometabolic risk factors.