Metabolically Healthy Obesity in Pediatric Population

Summary

Participation Requirements

Description

Scientific background: The global epidemic of childhood obesity, with the accompanying rise in the prevalence of endocrine, metabolic, and cardiovascular comorbidities in youth, represents one of the most important public health issues of the modern world (1-4). The earlier occurrence and increase i...

Scientific background: The global epidemic of childhood obesity, with the accompanying rise in the prevalence of endocrine, metabolic, and cardiovascular comorbidities in youth, represents one of the most important public health issues of the modern world (1-4). The earlier occurrence and increase in the prevalence of both pediatric obesity and metabolic syndrome (MS) leads to a potential decline in life expectancy, meaning that the youth of today could be the first generation to live shorter lives than their parents (2, 4-6). In the context of the childhood obesity pandemic, a distinct subgroup of youth with obesity less prone to the development of metabolic disturbances, called "metabolically healthy obese" (MHO), has come into focus (7, 8). Despite having obesity, MHO individuals display a "favorable" metabolic profile, with preserved insulin sensitivity, normal blood pressure and glucose regulation, normal lipids and liver enzymes, as well as a normal hormonal, inflammation, and immune profile (9-13). Although MHO status might not necessarily translate into lower mortality, and can crossover to "metabolically unhealthy obese" (MUO) phenotype during puberty, defining the MHO subpopulation within the youth with obesity is of high importance in order to elucidate the mechanisms protecting against the clustering of cardiometabolic risk factors, and for its clinical, preventive, and therapeutic decision-making implications (4, 7, 13-15). Few studies evaluated predictors and risk factors for MUO (14-15). However, these were based on variety of definitions and criteria used for defining MHO. moreover, little is known about the mechanisms of development of metabolic disturbance in pediatric obesity. More data is needed in order to identify the parameters which have the highest ability to predict clinically significant outcomes. Cardiac autonomic function, which can be measured non-invasively with heart rate variability, has been suggested as a potential mechanism underlying the development of metabolic syndrome and cardiovascular disease (16). Autonomic dysfunction characterized by reduced heart rate variability was found to predict coronary heart disease, type 2 diabetes mellitus and of all-cause and cardiac mortality (17-20) in adult population. However, the effect of reduced heart rate variability on metabolic syndrome in pediatric population and the influence of nutritional intervention with weight reduction on heart rate variability is not known. We aimed to investigate clinical, anthropometric, and socio-demographic and lifestyle predictors of MHO in this group, to describe HRV in children with obesity, and to find correlation to the metabolic syndrome or metabolic syndrome progression or improvement, in order to reveal if HRV can serve as a predictor to metabolic disturbance in pediatric obesity population. Study design: Study population and study design: Study population The study will be performed in the Nutrition and Obesity Clinic of the Pediatric Gastroenterology Unit at "Dana Dwek" Children's Hospital. All children and adolescents that that will be admitted to our clinic between December 2020 to December 2022 will include in the study. Inclusion criteria: All children 10-18 with obesity, males and females, who attend the obesity clinic in the pediatric gastroenterology unit at "Dana-Dwek" children's hospital, Tel Aviv Sourasky Medical Center, will be included. Exclusion criteria: Children with conditions that may affect HRV (e.g. congenital or acquired heart disease, other inflammatory conditions) will be excluded. withdrawal criteria: children and parents that will refuse to participate in the telephone interview will withdrawl from the study. Demographic data - age and gender, perinatal history, prior medication and hospitalization, sociodemographic parameters (area of living, parents' education, occupation and lifestyle) will be collected from the medical files. The obese children's perceptions of their motivation, health and social status will be ranked in 1-10 scale and documented upon admission to the clinic, and the parents' life style habits will also be documented during their first encounter. A parent will be defined as maintaining healthy lifestyle if he or she reported to maintain a healthy diet and regular exercise Clinical and metabolic evaluation Weight and height will be measured according to standardized protocols. Body mass index (BMI) percentiles are computed using age- and sex-specific BMI reference values from the World Health Organization . Body composition will be assessed using bioelectricalimpedence. Laboratory and radiologic parameters will include liver enzyme profile, lipid profile, glucose, insulin and HbA1C ,C rreactive protein (CRP) and abdominal ultrasound. MUO children and adolescent will be defined according to the recent international consensus-based definition (10). BMI Z score will be documented every 3-month and laboratory parameters will be repeated after 6 months of dietary intervention Nutritional assessment will be based on 3 days food report, including 2 week days and 1 weekend day, administered by a registered dietician at baseline visit and every 3 months. Measurement of HRV Resting HRV will be measured by Pulse Oximeter BM2000A/Shanghai Berry Electronic Tech Co., Ltd. that is validated for this purpose and is approved by FDA. The measurement, at the patient's fingertip, takes 5 minutes. The measurement will be performed twice - at two consecutive visits at the clinic, as part as the routine follow up of the patient every 3 months. HRV will be correlated to demographic and metabolic parameters between patients. In order to reveal whether HRV can serve as a predictor to metabolic disease progression or improvement HRV will be correlated to metabolic parameters in the same patient at two time-points. Statistical analysis: Epidemiologic data and patients' descriptive data available on continuous scales will be presented with medians, means and standard deviations. Categorical data will be presented as rates and percentages. Parametric tests will be applied when normality is satisfied. Regression analysis will be used to assess the impact of independent variables on the dependent variables. A p value of <0.05 will be considered significant. Time line: Study data analysis will be completed within 2 years.

Tracking Information