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Search: WFRF:(Rössner Sophia M)

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  • Rössner, Sophia M., et al. (author)
  • Alternative methods of insulin sensitivity assessment in obese children and adolescents
  • 2008
  • In: Diabetes Care. - Alexandria, Va. : American Diabetes Association. - 0149-5992 .- 1935-5548. ; 31:4, s. 802-804
  • Journal article (peer-reviewed)abstract
    • OBJECTIVE—To validate fasting indexes against minimal model analysis (MMOD) of the frequently sampled intravenous glucose tolerance test (FSIVGTT) in an obese pediatric population.RESEARCH DESIGN AND METHODS—FSIVGTT-MMOD results were compared with homeostasis model assessment of insulin resistance (HOMA-IR) and fasting insulin with the sample stratified by sex, puberty, and sensitivity index (Si) median in 191 children (82 males and 109 females, 13.9 ± 2.9 years of age, BMI 36.9 ± 6.2 kg/m2, BMI SD score 6.1 ± 1.6).RESULTS—Across pubertal groups, correlation coefficients between Si and HOMA-IR ranged from −0.43 to −0.78 in males and from −0.53 to −0.57 in females (age and BMI adjusted, P < 0.05 in all instances). Similar results were seen for fasting insulin. In females, the relationship was significantly weaker in more-insulin-resistant subjects.CONCLUSIONS—The validity of fasting indexes in explaining Si was sex dependent, varied with pubertal stage, and in females was influenced by degree of insulin sensitivity. In obese pediatric populations, we generally discourage the use of fasting indexes, although the validity varies within subgroups.
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2.
  • Neovius, Martin, et al. (author)
  • Adiposity measures as indicators of metabolic risk factors in adolescents
  • 2009
  • In: Obesity Facts. - : S. Karger AG. - 1662-4025 .- 1662-4033. ; 2:5, s. 294-301
  • Journal article (peer-reviewed)abstract
    • Aim: To examine the relation between adiposity assessment methods (percentage body fat (%BF), BMI, and waist circumference (WC)) and individual metabolic risk factors (f-insulin, HDL cholesterol, triglycerides) and a combined measure of metabolic risk. Methods: Cross-sectional study of 300 males (BMI 20.8 +/- 3.0 kg/m(2)) and females (BMI 21.3 +/- 2.9 kg/m(2)) 17 years of age. F-insulin and components of the metabolic syndrome defined by the International Diabetes Federation (IDF) were used as metabolic risk indicators, with samples stratified into BMI, %BF, and WC groups, respectively. Diagnostic accuracy was expressed as the area under the ROC curve (AUC). Results: In males, diagnostic accuracy for HDL and f-insulin was poor to fair for BMI (AUC 0.70, p = 0.001; 0.60, p = 0.22), WC (0.68, p = 0.003; 0.63, p = 0.11), and %BF (0.65, p = 0.009; 0.66, p = 0.04). The diagnostic accuracy for triglycerides was greater for all three measures (BMI 0.92, WC 0.95, %BF 0.87; all p < 0.001). For females, neither test performed better than chance for f-insulin and HDL, and only %BF performed better than chance for triglycerides (0.65, p = 0.08). All three measures exhibited higher accuracy for presence of >= 2 metabolic risk factors (AUCs 0.76-0.91, p < 0.001) in both sexes. Conclusion: %BF was not superior to BMI and WC for detecting metabolic risk in the general adolescent population.
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