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Background Balanced nutrition is crucial for adolescent’s proper physical and mental development. Dietary habits change significantly with a child’s development. Along with increasing age and the shift towards adolescence, unhealthy diet-related habits become more common. The objective of the survey study was to determine the differences in nutritional habits between children and adolescents according to their age and body mass index (BMI). Methods “Let’s get the kids moving” campaign (pol. “Uruchamiamy dzieciaki”) was launched in 2016. Within the campaign, the survey study was conducted in 2913 participants between 6 and 17 years old from primary and junior high schools in Wroclaw (Poland). The survey was anonymous, and its supplement was voluntary. Participants were divided into age groups. The study group of 2913 consisted of 29.8% of 6–9-year-olds, 32.7% of 10–12-year-olds, and 37.5% of 13–17-year-olds. Body mass index (BMI) was calculated and further interpreted as a BMI z-scores depending on children’s age and gender. Results A total of 19.3% of participants consumed 3 meals a day or less. Children from the oldest age group (13–17) consumed statistically significantly fewer meals per day than younger children (p < 0.001). Children from the oldest age group (13–17) consumed breakfast statistically less often than children of age group 10–12 years (75.0% vs. 83.6%; p < 0.001) and children of age group 6–9 years (75.0% vs. 84.0%; p < 0.001). Severely thin children consumed breakfast significantly more often than overweight (85.8% vs. 76.3%; p = 0.004) and children with obesity (85.8% vs. 75.9%; p = 0.021). Children with obesity consumed vegetables significantly less often than severely thin (p < 0.008), thin (p < 0.001), and children with normal body weight (p < 0.007). The oldest children (13–17 years) consumed Coca-Cola and SSB (p < 0.001) and fruit-flavored beverages (p < 0.05) significantly more often than children from other age groups. Boys consumed carbonated beverages with added sugar significantly more often than girls (p < 0.01). Conclusions Unhealthy diet-related behaviors in children and adolescents may promote overweight and obesity and should be targeted in health promotion programs. Special attention should be paid to 13–17-year-olds, as adolescents from this group made more unhealthy choices than younger children.

Irisin (Ir) deficiency may be a contributing factor in metabolic disease. This study aimed to investigate the effect of supraphysiological doses of recombinant human growth hormone (rhGH) on Ir plasma concentration in relation to metabolic disorders, including obesity and other components of metabolic syndrome. We studied 36 girls with Turner syndrome (mean age 8.2 years) treated with rhGH (0.05 mg/kg/day). Anthropometric data and fasting blood levels [e. g., Ir, insulin, glucose, glycated hemoglobin (HbA1c), IGF-1, IGFBP-3, cholesterol, insulin resistance (HOMA-IR), and β-cell function (HOMA-β)] were analyzed prior to and following rhGH therapy [mean (SD) follow-up of 1.47 (0.89) years]. Insulin sensitivity (Matsuda index) was calculated before and after the glucose load. Following rhGH therapy, an increase in IGF-1 [mean (SD) of 119.40 (62.47) ng/ml to 439.08 (209.91) ng/ml, p=0.000], Ir [2.10 (1.03) μg/ml to 2.48 (0.78) μg/ml, p=0.036], HOMA-IR [median (IQR) of 0.64 (0.45-1.30) to 0.92 (0.67-2.36), p=0.0206], and HOMA-β values [45.00 (27.69-72.00) to 81.53 (51.43-132.00), p=0.0447] were observed. Multiple regression analysis yielded no associations between Ir and metabolic and hormonal parameters before rhGH treatment; however, on rhGH, the model (R=0.56, adjusted R0.45) showed positive associations between Ir and IGF-1 standard deviation score and HbA1c, and negative associations between Ir and fasting blood glucose, HDL-cholesterol, and triglycerides. Despite manifestation of insulin resistance, rhGH application had a positive effect on Ir regulation, and restored physiological conditions of lipid and glucose metabolism.

In patient with T1DM the diagnosis of severe hypertriglyceridemia in the course of ketoacidosis should be based on careful interpretation of laboratory tests results. Moreover genetic tests of the patient and his/her immediate relatives blood samples should be performed.

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