OBJECTIVES: To study the relationship between skeletal muscle mass index (SMI) and metabolic phenotypes of obesity in adolescents, and to provide a basis for the prevention and control of adolescent obesity and related metabolic diseases. METHODS: A total of 1 352 adolescents aged 12 to 18 years were randomly selected by stratified cluster sampling in Yinchuan City from October 2017 to September 2020, and they were surveyed using questionnaires, physical measurements, body composition measurements, and laboratory tests. According to the diagnostic criteria for metabolic abnormalities and the definition of obesity based on the body mass index, the subjects were divided into four metabolic phenotypes: metabolically healthy normal weight, metabolically healthy obesity, metabolically unhealthy normal weight, and metabolically unhealthy obesity. The association between SMI and the metabolic phenotypes was analyzed using multivariate logistic regression. RESULTS: The SMI level in the metabolically unhealthy normal weight, metabolically healthy obesity, and metabolically unhealthy obesity groups was lower than that in the metabolically healthy normal weight group (P<0.001). Multivariate logistic regression analysis showed that after adjusting for gender and age, a higher SMI level was a protective factors for adolescents to develop metabolic unhealthy normal weight, metabolically healthy obesity, and metabolically unhealthy obesity phenotypes (OR=0.74, 0.60, and 0.54, respectively; P<0.001). CONCLUSIONS Increasing SMI can reduce the risk of the development of metabolic unhealthy/obesity.
Adolescent ; Humans ; Body Mass Index ; Metabolic Syndrome/metabolism* ; Muscle, Skeletal/metabolism* ; Obesity, Metabolically Benign/diagnosis* ; Pediatric Obesity ; Phenotype ; Risk Factors ; Child

BACKGROUND: Tri-ponderal mass index (TMI) has been reported to be a more accurate estimate of body fat than body mass index (BMI). This study aims to compare the effectiveness of TMI and BMI in identifying hypertension, dyslipidemia, impaired fasting glucose (IFG), abdominal obesity, and clustered cardio-metabolic risk factors (CMRFs) in 3- to 17-year-old children. METHODS: A total of 1587 children aged 3 to 17 years were included. Logistic regression was used to evaluate correlations between BMI and TMI. Area under the curves (AUCs) were used to compare discriminative capability among indicators. BMI was converted to BMI- z scores, and accuracy was compared by false-positive rate, false-negative rate, and total misclassification rate. RESULTS: Among children aged 3 to 17 years, the mean TMI was 13.57 ± 2.50 kg/m 3 for boys and 13.3 ± 2.33 kg/m 3 for girls. Odds ratios (ORs) of TMI for hypertension, dyslipidemia, abdominal obesity, and clustered CMRFs ranged from 1.13 to 3.15, higher than BMI, whose ORs ranged from 1.08 to 2.98. AUCs showed similar ability of TMI (AUC: 0.83) and BMI (AUC: 0.85) in identifying clustered CMRFs. For abdominal obesity and hypertension, the AUC of TMI was 0.92 and 0.64, respectively, which was significantly better than that of BMI, 0.85 and 0.61. AUCs of TMI for dyslipidemia and IFG were 0.58 and 0.49. When 85th and 95th of TMI were set as thresholds, total misclassification rates of TMI for clustered CMRFs ranged from 6.5% to 16.4%, which was not significantly different from that of BMI- z scores standardized according to World Health Organization criteria. CONCLUSIONS TMI was found to have equal or even better effectiveness in comparison with BMI in identifying hypertension, abdominal obesity, and clustered CMRFs TMI was more stable than BMI in 3- to 17-year-old children, while it failed to identify dyslipidemia and IFG. It is worth considering the use of TMI for screening CMRFs in children and adolescents.
Adolescent ; Child ; Child, Preschool ; Female ; Humans ; Male ; Body Mass Index ; Dyslipidemias ; East Asian People ; Hypertension ; Obesity, Abdominal ; Pediatric Obesity/diagnosis* ; Cardiometabolic Risk Factors

Overweight/obesity has become one of the major public health problems among children and adolescents all over the world. The current screening standards for overweight and obesity in children and adolescents are not unified. It is easy to make mistakes and inefficient to evaluate item by item or develop self-written packages. Taking the"Screening standards for overweight and obesity in Chinese school-age children and adolescents"as an example, this study introduced four methods and procedures for evaluating overweight and obesity among children and adolescents from the world and China and described their application methods in combination with specific cases. At the same time, the SPSS and SAS packages were compiled and the specific application steps were explained, so that users could correctly and quickly screen overweight and obesity among children and adolescents, and conduct horizontal comparisons of similar studies across different regions.
Adolescent ; Body Mass Index ; Child ; China ; Humans ; Overweight ; Pediatric Obesity/diagnosis* ; Prevalence

PURPOSE: Obesity is risk factor for nonalcoholic fatty liver disease (NAFLD). However, nonobese patients are also increasingly susceptible to NAFLD. The aim of this study was to compare the clinical characteristics of obese and nonobese pediatric patients with NAFLD. METHODS: We retrospectively studied 68 patients who were diagnosed with NAFLD between January 2010 and October 2016 at 10–18 years of age. Body mass index ≥95th percentile for age and sex was defined as obesity. Abdominal ultrasonography and laboratory, anthropometrics measurements were evaluated. RESULTS: Among the 68, 26 (38.2%) were nonobese patients. The ratio of male to female was 5.8:1, and the median age at diagnosis was 13 years (range, 10–17 years). Significant higher triglyceride (223.0 mg/dL vs. 145.9 mg/dL, P=0.047) and total cholesterol levels (211.6 mg/dL vs. 173.2 mg/dL, P=0.011) were shown in nonobese than obese patients. High-density lipoprotein cholesterol level < 40 mg/dL (hazard ratio [HR], 6.5; 95% confidence interval [CI], 2.13–7.10; P=0.048), total cholesterol level >200mg/dL (HR, 5.6; 95% CI, 1.23–15.31; P=0.038) and abdominal obesity (HR, 2.53; 95% CI, 1.22–4.68; P=0.013) were significant risk factors for NAFLD in nonobese patients. CONCLUSION: Nonobese patients present a substantial proportion of pediatric NAFLD cases. Significant abnormal lipid concentrations were found in nonobese and abdominal obesity was important risk factor for nonobese NAFLD.
Body Mass Index ; Cholesterol ; Diagnosis ; Female ; Humans ; Lipoproteins ; Male ; Metabolic Diseases ; Non-alcoholic Fatty Liver Disease* ; Obesity ; Obesity, Abdominal ; Pediatric Obesity ; Retrospective Studies ; Risk Factors ; Triglycerides ; Ultrasonography

The Committee on Pediatric Obesity of the Korean Society of Pediatric Gastroenterology, Hepatology and Nutrition newly developed the first Korean Guideline on the Diagnosis and Treatment of Obesity in Children and Adolescents to deliver an evidence-based systematic approach to childhood obesity in South Korea. The following areas were systematically reviewed, especially on the basis of all available references published in South Korea and worldwide, and new guidelines were established in each area with the strength of recommendations based on the levels of evidence: (1) definition and diagnosis of overweight and obesity in children and adolescents; (2) principles of treatment of pediatric obesity; (3) behavioral interventions for children and adolescents with obesity, including diet, exercise, lifestyle, and mental health; (4) pharmacotherapy; and (5) bariatric surgery.
Adolescent ; Bariatric Surgery ; Child ; Diagnosis* ; Diet ; Drug Therapy ; Gastroenterology* ; Humans ; Korea ; Life Style ; Mental Health ; Obesity ; Overweight ; Pediatric Obesity*

The Committee on Pediatric Obesity of the Korean Society of Pediatric Gastroenterology, Hepatology and Nutrition newly developed the first Korean Guideline on the Diagnosis and Treatment of Obesity in Children and Adolescents to deliver an evidence-based systematic approach to childhood obesity in South Korea. The following areas were systematically reviewed, especially on the basis of all available references published in South Korea and worldwide, and new guidelines were established in each area with the strength of recommendations based on the levels of evidence: 1) definition and diagnosis of overweight and obesity in children and adolescents; 2) principles of treatment of pediatric obesity; 3) behavioral interventions for children and adolescents with obesity, including diet, exercise, lifestyle, and mental health; 4) pharmacotherapy; and 5) bariatric surgery.
Adolescent ; Bariatric Surgery ; Child ; Diagnosis* ; Diet ; Drug Therapy ; Gastroenterology* ; Humans ; Korea ; Life Style ; Mental Health ; Obesity ; Overweight ; Pediatric Obesity*

BACKGROUND AND OBJECTIVES: Hypertension is becoming one of the most common health conditions in children and adolescents due to increasing childhood obesity. We aimed to provide the auscultatory blood pressure (BP) normative reference values for Korean non-overweight children and adolescents. METHODS: BP measurements in children and adolescents aged 10 to 18 years were performed in the Korean National Health and Nutrition Examination Survey (KNHANES) from 1998 to 2016. BP was measured using a mercury sphygmomanometer. Sex-, age- and height-specific systolic BP (SBP) and diastolic BP (DBP) percentiles were calculated in the non-overweight children (n=10,442). We used the General Additive Model for Location Scale and Shape method to calculate BP percentiles. RESULTS: The 50th, 90th, 95th, and 99th percentiles of SBP and DBP tables and graphs of non-overweight children and adolescents aged 10 to 18 years were presented by age and height percentiles. We found that the SBP and DBP at the 95th percentile were well correlated with height. The BP tables presented by height contained BP values from 124 cm to 190 cm for boys and from 120 cm to 178 cm for girls. Boys had higher SBP and DBP. CONCLUSIONS: We provided the sex-, age- and height-specific auscultatory BP values using the KNHANES big data. These may be useful in diagnosis and treatment of hypertension in Korean children and adolescents.
Adolescent ; Auscultation ; Blood Pressure ; Child ; Diagnosis ; Female ; Humans ; Hypertension ; Korea ; Methods ; Nutrition Surveys ; Pediatric Obesity ; Reference Values ; Sphygmomanometers

Background: Bioelectrical impedance analysis (BIA) is frequently used to diagnose obesity in clinical setting, but the usefulness of BIA in children is not become known accurately. We analyzed the usefulness of BIA and anthropometric measurement compared with Dual-energy X-ray absorptiometry (DXA) as a diagnostic tool of childhood obesity. Methods: 205 volunteer primary and middle school children were recruited. We measured weight and height, and analyzed the body composition by BIA and DXA. By paired t-test and Bland-Altman plots, mean difference and limit of agreement were calculated between DXA and BIA according to sex and age groups. Sensitivity and specificity were displayed with the gold standard of PBF above 35% by DXA. Results: There was significantly positive correlation between DXA and BIA in fat mass (FM) (r=0.982, P<0.001), fat free mass (FFM) (r=0.990, P<0.001), and percent body fat (PBF) (r=0.956, P<0.001). Mean difference between DXA and BIA in FM, FFM, and PBF were -0.4+/-1.4 kg (P<0.001), -0.6+/-1.3 kg (P<0.001), and 0.5+/-2.8% (P=0.016), respectively. Limit of agreement in FM, FFM, and PBF were -0.4+/-2.7 kg, -0.6+/-2.5 kg, and 0.5+/-5.5%, respectively. The most sensitive method of diagnosis of obesity was Korean BMI standards for 85 percentile (94.7%) and IOTF BMI 25 kg/m2 (94.7%). The sensitivity and specificity by BIA were 90.7% and 97.7%. Conclusions: BIA was not interchangeable with DXA. However because of higher diagnostic accuracy and correlation, it could be used to measure body composition as simple field method. We recommend Korean BMI standards for 85 percentile or IOTF BMI 25 kg/m2 as the screening test for diagnosis of Korean childhood obesity.
Absorptiometry, Photon* ; Adipose Tissue ; Body Composition ; Child ; Diagnosis ; Electric Impedance ; Humans ; Mass Screening ; Obesity ; Pediatric Obesity* ; Sensitivity and Specificity ; Volunteers

PURPOSE: Abdominal obesity is encountered as a risk factor for cardiovascular diseases. However, the anthropometric cut-off value to estimate the cardiovascular risk, has not been suggested. This study was designed to find the relationship between the abdominal fat and various parameters of obesity to find the cardiovascular risk factors related to abdominal obesity and to establish practical methods to measure them. METHODS: Twenty seven obese Korean adolescents of moderate to severe degree and 22 healthy adolescents were enrolled. The body mass index (BMI), arm circumference and skinfold thickness were measured. Furthermore, blood lipid, sugar, insulin and four different cytokines' levels were checked and the distribution of body composition was measured by bioelectrical impedance analysis. The subcutaneous and intra-abdominal fat thickness by abdominal ultrasonography (US) and the total and intra-abdominal fat area by abdominal computerized tomography (CT) were measured in the obese group. RESULTS: The most accurate method to measure abdominal fat in children is abdominal CT and the fat mass measured by bioelectrical impedance was strongly correlated with it (r=0.954). It was also correlated with arm circumference, fat thickness measured by abdominal US, BMI, aspartate aminotransferase (AST), alanine aminotransferase (ALT) and triglyceride level. CONCLUSION: Abdominal CT is the most accurate method to measure intra-abdominal fat, and it can be replaced by abdominal US for cost effectiveness. The screening methods that can be used at school or in outpatient basis include bioelectrical impedance, waist/hip ratio, and arm circumference. The cardiovascular risk factors include leptin, triglyceride and insulin level.
Abdominal Fat ; Adolescent ; Alanine Transaminase ; Arm ; Aspartate Aminotransferases ; Body Composition ; Body Mass Index ; Cardiovascular Diseases ; Child ; Cost-Benefit Analysis ; Diagnosis* ; Electric Impedance ; Humans ; Insulin ; Intra-Abdominal Fat ; Leptin ; Mass Screening ; Obesity* ; Obesity, Abdominal ; Outpatients ; Pediatric Obesity* ; Risk Factors ; Skinfold Thickness ; Tomography, X-Ray Computed ; Triglycerides ; Ultrasonography

No abstract available.
Diagnosis* ; Pediatric Obesity*