<b><i>Introduction:</i></b> Obesity in childhood and adolescence is associated with complications that resemble those seen in hypercortisolism. Hair cortisol concentration (HCC) in children is a reliable marker of long-term endogenous cortisol concentrations. We determined HCC in overweight and obese children and adolescents, and examined the relation between HCC and other cardiometabolic parameters. <b><i>Methods:</i></b> Three hundred children and adolescents aged 4–18 years (mean age ± standard error of the mean [SEM]: 10.49 ± 0.15 years; 140 [46.7%] obese, 94 [31.3%] overweight, 66 [22%] of normal BMI; 76 males, 224 females) were studied prospectively. Blood samples for determination of hematological, biochemical, and endocrinologic parameters were obtained. Systolic (SBP) and diastolic blood pressure (DBP) was determined. Scalp hair samples were collected from the posterior vertex, and HCC was measured using an electrochemiluminescence immunoassay. <b><i>Results:</i></b> Obese subjects had significantly higher SBP, DBP, waist and hip circumferences, waist-to-hip ratio, waist-to-height ratio, ALT, γ-GT, triglycerides, apolipoprotein-B, insulin, and HbA<sub>1C</sub> concentrations than overweight and normal-BMI subjects. HCC did not differ significantly among the three groups of subjects (mean ± SEM: 8.74 ± 0.43 vs. 8.88 ± 0.52 vs. 9.33 ± 0.72, all <i>p</i> > 0.05). No significant association was noted between HCC and cardiometabolic or body composition parameters. HCC was significantly higher in prepubertal girls than prepubertal boys (9.45 ± 0.38 vs. 7.35 ± 0.39, <i>p</i> = 0.007). <b><i>Conclusion:</i></b> In our study, overweight and obesity was not associated with elevated HCC. Furthermore, no association was found between HCC with cardiometabolic parameters and fat mass. Further studies are required to delineate the association between overweight/obesity and HCC.
Obesity in childhood and adolescence represents a major health problem. Novel e-Health technologies have been developed in order to provide a comprehensive and personalized plan of action for the prevention and management of overweight and obesity in childhood and adolescence. We used information and communication technologies to develop a “National Registry for the Prevention and Management of Overweight and Obesity” in order to register online children and adolescents nationwide, and to guide pediatricians and general practitioners regarding the management of overweight or obese subjects. Furthermore, intelligent multi-level information systems and specialized artificial intelligence algorithms are being developed with a view to offering precision and personalized medical management to obese or overweight subjects. Moreover, the Big Data against Childhood Obesity platform records behavioral data objectively by using inertial sensors and Global Positioning System (GPS) and combines them with data of the environment, in order to assess the full contextual framework that is associated with increased body mass index (BMI). Finally, a computerized decision-support tool was developed to assist pediatric health care professionals in delivering personalized nutrition and lifestyle optimization advice to overweight or obese children and their families. These e-Health applications are expected to play an important role in the management of overweight and obesity in childhood and adolescence.
This National e-Health System appears to be effective in the management of overweight and obesity in childhood and adolescence.
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