Journal
EXPERIMENTAL AND CLINICAL ENDOCRINOLOGY & DIABETES
Volume 121, Issue 7, Pages 384-390Publisher
JOHANN AMBROSIUS BARTH VERLAG MEDIZINVERLAGE HEIDELBERG GMBH
DOI: 10.1055/s-0033-1341440
Keywords
metabolic features; obesity; cardiovascular incidences
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Funding
- Zukunftsfond Steiermark Project STYJOBS-Extension
- Austrian Nano-Initiative as part of the Nano-Health project [0200]
- Austrian FWF (Fonds zur Forderung der Wissenschaftlichen Forschung) [N212-NAN]
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Background: Since obesity and its associated co-morbidities do not only have effect on the individual patient, but also on society and the health system, it is of great importance to investigate this lifestyle-disease. The rationale of this study was to distinguish metabolically healthy from unhealthy overweight/obese patients as compared to healthy normal weight children and adolescents by means of a comprehensive anthropometric, laboratory and sonomorphological vascular assessment. Material and methods: 299 study participants were derived from the prospective, observational study STYJOBS/EDECTA (STYrian Juvenile Obesity Study/Early DEteCTion of Arteriosclerosis). Standard anthropometric data were obtained for each subject. This study comprised different diagnostic steps: extended anthropometry (Lipometer (R)), carotid artery ultrasound, various laboratory measurements, blood pressure measurement, oral glucose tolerance test. Ow/ob juveniles were classified as metabolically healthy (no laboratory criteria of metabolic syndrome fulfilled) vs. metabolically unhealthy (>= 3 criteria of metabolic syndrome). Results underwent statistical evaluation, including t-test or Mann-Whitney U-test, regression analysis and a p-value <0.05 was considered statistically significant. Results and Discussion: In the study's central European cohort only about 16% (n=48/299) of the overweight/obese juveniles can be regarded as metabolically healthy. About 36% (n=108/299) of the overweight/obese patients fulfilled the criteria for metabolic syndrome. High visceral fat stores (p < 0.001) and their clinical surrogate waist circumference (p < 0.001) determine an adverse metabolic phenotype. Several parameters, including uric acid (p < 0.001), adiponectin (p < 0.05), insulin resistance (HOMA-Index, p < 0.001), nuchal SAT thickness (p < 0.001), arteriosclerosis of the carotids (p < 0.001), and others are responsible for the distinction between metabolically healthy and unhealthy juveniles. Nevertheless, healthy obesity only defines a sub-phenotype of a disease effecting rising numbers of young patients. Conclusion: Since obesity in children and adolescents is not a consistent entity, it remains crucial to differ between metabolically healthy and unhealthy obese children in order to achieve appropriate intervention and prevention for our patients.
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