2016
DOI: 10.1038/srep31892
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Glycaemic Profiles of Children With Overweight and Obesity in Free-living Conditions in Association With Cardiometabolic Risk

Abstract: Insulin resistance is common among children with overweight and obesity. However, knowledge about glucose fluctuations in these children is scarce. This study aims to evaluate glycaemic profiles in children with overweight and obesity in free-living conditions, and to examine the association between glycaemic profiles with insulin resistance and cardiovascular risk parameters. One hundred eleven children with overweight and obesity were included. 48-hour sensor glucose concentrations in free-living conditions,… Show more

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Cited by 12 publications
(12 citation statements)
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“…It has been reported that with the OGTT, it is possible to detect significant glucose disturbances; however, the ability to detect subtle disturbances in glucose homeostasis is limited with this test. Furthermore, the reproducibility of the OGTT in children with metabolic derangements is poor, in particular, the 2‐hour plasma glucose concentrations …”
Section: Discussionsupporting
confidence: 92%
“…It has been reported that with the OGTT, it is possible to detect significant glucose disturbances; however, the ability to detect subtle disturbances in glucose homeostasis is limited with this test. Furthermore, the reproducibility of the OGTT in children with metabolic derangements is poor, in particular, the 2‐hour plasma glucose concentrations …”
Section: Discussionsupporting
confidence: 92%
“…In the entire cohort 47.1% of children were classifiable as insulin resistant according to a previously reported criterion (HOMA IR ≥ 2.5). 36 Systolic and diastolic BP as well as plasma lipids were within normal ranges and did not differ between genders, even after adjustment for age, BMI, and pubertal stage. Overall, 19.8% of boys and 14.1% of girls showed the characteristics of MetS ( P = 0.25 for gender difference).…”
Section: Resultsmentioning
confidence: 79%
“…In a randomly selected subgroup (n = 170) of the participating children, a panel of markers reflecting pro-inflammatory status (monocyte chemoattractant protein 1(MCP-1), serum amyloid A protein (SAA), IL-6, and interleukin 8 (IL-8)), and endothelial dysfunction (VCAM-1, ICAM-1, and E-selectin) were measured (Multi Spot ELISA assay, Meso Scale Discovery). Furthermore, glucose concentrations were measured in free-living conditions using a continuous glucose-monitoring (CGM) sensor for 48-hours, again in a subgroup of children (n = 73), as described previously 40 . Median, minimum, and maximum sensor glucose concentrations were calculated, and the intra-day glycaemic variability, which reflects acute glucose fluctuations, was assessed by the CONGA 41 .…”
Section: Methodsmentioning
confidence: 99%