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Introduction Obesity is a global health problem with growing prevalence in developing countries. Obesity causes chronic inflammation due to imbalances between pro- and anti-inflammatory cytokines. This causes metabolic complications such as dyslipidemia, hypertension, and cardiovascular disorder. Carotid intima–media thickness (CIMT) is a predictor of atherosclerosis which could be measured easily and non-invasively. Early detection of cardiovascular diseases in obese adolescents at risk is hoped to improve outcomes. Methods This is a cross-sectional study on obese adolescents aged 13-16 year old at Pediatric Clinic of Dr. Soetomo General Hospital. Obesity is defined as Body mass index higher than 95 th percentiles according to CDC (2000). Dyslipidemia is diagnosed when either an increase in cholesterol, LDL, triglyceride or a decrease in HDL level is found, as recommended by NCPE and American Academy of Pediatrics. Hypertension is defined as an increase of blood pressure > P95 according to age and gender. The differences of CIMT based on dyslipidemia, hypertension, and gender were analyzed with Wilcoxon Mann Whitney with significant p value (p < 0,005). Results This study included 59 obese adolescents, consisting of 32 (54.2%) male adolescents and 35 (59.3%) female adolescents. Dyslipidemia was found on 38 (64.4%) adolescents and hypertension was found on 35 (59.3%) adolescents. No difference of CIMT was found between obese adolescents with and without dyslipidemia and with and without hypertension based on gender (p > 0.05). Conclusion No difference of CIMT based on gender between adolescents aged below 18. The high number of dyslipidemia and hypertension in obese adolescents need an early detection of cardiovascular complication.

Background:The prevalence of adolescent obesity is increasing in Indonesia. Obesity can reduce the quality of life, especially as most obese adolescents remain obese after they become adult. In obese adolescents, the higher their IMT (intima-media thickness), the higher the risk of cardiovascular disease in adulthood. Purpose: The aim of this study is to analyse the correlation of demographic characteristics with BMI (body mass index) in adolescents with obesity. Methods: This study is a cross-sectional study on adolescents with obesity conducted in the Paediatric Nutrition and Metabolic Disease Clinic of Dr Soetomo General Hospital, Surabaya. The data on demographic characteristics, such as gender, number of siblings, paternal education, maternal education, and maternal occupation, were collected using the interview method. Data on anthropometry were collected to calculate BMI. Obesity is established if it is higher than the 95 th percentile, based on CDC percentile of BMI, according to age and sex. Data were analysed using multiple regression. Results: A total of 59 obese adolescents, between 13 and 16 years old, were involved. As many as 49.20% of respondents had one sibling. As many as 52.50% of respondents had a father with a high school education and 44.10% of respondents had mothers with a high school education; 61% of respondents had working mothers. There was no correlation between BMI and demographic characteristics (p> 0.05), except for number of siblings (p = 0.02). Conclusion: In this study, the number of siblings was correlated with BMI. A study with a greater number of obese adolescents and with adolescents who have normal nutritional status is needed to fully assess the influence of demographic characteristics on BMI in obese adolescents.

Shorter sleep duration is a risk factor for obesity and metabolic syndrome. Previous studies conducted on diff erent races showed inconsistent results. The purpose of this study was to analyze the diff erences in sleep duration in obese adolescents who suff er from metabolic syndrome compared with obese adolescents who do not suff er from metabolic syndrome. A cross sectional study was carried out on 59 obese adolescents who visited the Pediatric Nutrition and Metabolic Disease Clinic in Dr. Soetomo General Academic Hospital, Surabaya. Subjects were selected using total sampling techniques who met the inclusion and exclusion criteria in August-November 2018. Anthropometry (weight, height and waist circumference), blood pressure, and blood tests (HDL cholesterol levels, triglycerides, and fasting blood glucose levels) were held to determine obesity according to CDC 2000 and metabolic syndrome according to International Diabetes Federation. The diff erence in sleep duration in obese adolescents suff ering from metabolic syndrome and without metabolic syndrome analyzed using Chi square test. A total of 27 subjects (45.8%) suff ered from metabolic syndrome. Most obese adolescents (57,6%) have suffi cient sleep duration (≥ 8 hours/day). There was no sleep duration diff erences in obese adolescents suff ering and not suff ering from metabolic syndrome (p> 0.05).

Introduction: Obesity in adolescents can cause metabolic syndrome. Insulin resistance increases the risk of metabolic syndrome, which then increases the risk of premature death. Studies about anthropometric measurements and adiponectin levels as early markers of insulin resistance in obese adolescents are still limited. Methods: A cross-sectional study was performed on 59 obese adolescents aged 13-16 years. Obesity was established on the basis of the Centers for Disease Control and Prevention (CDC) curve (2000). Insulin and blood glucose level measurements were carried out using an enzymatic kit. Adiponectin levels were assayed using enzyme-linked immunosorbent assay (ELISA). The relationships between variables were evaluated by correlation analysis using SPSS. Results: Statistical tests showed a positive correlation between waist circumference (r=0.421; p=0.001) and Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) (r=0.396; p=0.002). Waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) had a weak positive correlation with insulin (r=0.343; p=0.008 and r=0.311; p=0.017) and HOMA-IR (r=0.306; p=0.018). There was a weak negative correlation between adiponectin and insulin in obese adolescents (r=-0.278; p=0.033). Conclusion: Anthropometric measurements (waist circumference, WHR and WHtR) and adiponectin can be used for early detection of insulin resistance and hyperinsulinemia in obese adolescents.