Insulin-sensitive obese children display a favorable metabolic profile

Abstract

Lower HOMA-IR values were significantly associated with favorable metabolic profile in studied children, which correlates with findings in the adult population and emphasizes the need for further, longitudinal studies of insulin resistance development in childhood obesity.

Metabolic syndrome in obese children and adolescents in Serbia: prevalence and risk factors

“…Since higher levels of insulin resistance are associated with higher BMI (SDS), which was significantly associated with the higher probability for MS in our cohort, the analysis was adjusted for the degree of obesity (18). The analysis confirmed a significant independent association of both insulin resistance and degree of obesity with higher risk of MS. Higher insulin resistance is a known risk factor for MS in obese children, while the preserved insulin sensitivity determined by lower HOMA-IR values is associated with favorable metabolic phenotype in obese youth (8,14,18). A few studies have tested the independent effect of insulin resistance and BMI (SDS) on the likelihood of MS using the IDF definition in obese children.…”

“…The methodology used was the same as in our previous research on metabolic disturbances in obese children (17,18). BMI and height percentiles and standard deviation scores (SDS) were calculated in accordance with the WHO growth reference charts using the WHO Anthro and AnthroPlus software (19,20), and waist circumference percentiles (WC) were calculated according to the reference values of Fernandez et al (21).…”

Obesity-related differences in neuromuscular fatigue in adolescent girls

“…Consequently, to exclude any confusing effect of growth and maturation on our measurements, we constituted our groups so that chronological age, height and maturation status were not significantly different. Furthermore, given that the metabolic indexes (glycemia, lipidemia, insulinemia and inflammation status) in obese girls fell within the normal ranges for their age and sex (Vukovic et al 2013), we can reasonably exclude any confusing effect of metabolic disorders on the rate of fatigue development. Thus, other factors should account for the specificity of neuromuscular fatigue in obese.…”

Lactation is associated with altered metabolomic signatures in women with gestational diabetes

“…The HOMA-IR index was calculated according to Ekelund et al [24]. The Matsuda-Defronza estimation of insulin sensitivity index (ISI) was calculated according to Vukovic et al [25].…”