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      Abdominal obesity and low physical activity are associated with insulin resistance in overweight adolescents: a cross-sectional study

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          Abstract

          Background

          Previous studies have assessed the metabolic changes and lifestyles associated with overweight adolescents. However, these associations are unclear amongst overweight adolescents who have already developed insulin resistance. This study assessed the associations between insulin resistance and anthropometric, metabolic, inflammatory, food consumption, and physical activity variables amongst overweight adolescents.

          Methods

          This cross-sectional study divided adolescents (n = 120) between 10 and 18 years old into 3 groups: an overweight group with insulin resistance (O + IR), an overweight group without insulin resistance (O-IR), and a normal-weight control group (NW). Adolescents were matched across groups based on age, sex, pubertal maturation, and socioeconomic strata. Anthropometric, biochemical, physical activity, and food consumption variables were assessed. Insulin resistance was assessed using homeostatic model assessment (HOMA Calculator Version 2.2.2 from ©Diabetes Trials Unit, University of Oxford), and overweight status was assessed using body mass index according to World Health Organization (2007) references. A chi-square test was used to compare categorical variables. ANOVAs or Kruskal-Wallis tests were used for continuous variables. Multiple linear regression models were used to calculate the probability of the occurrence of insulin resistance based on the independent variables.

          Results

          The risk of insulin resistance amongst overweight adolescents increases significantly when they reach a waist circumference > p95 (OR = 1.9, CIs = 1.3-2.7, p = 0.013) and watch 3 or more hours/day of television (OR = 1.7, CIs = 0.98-2.8, p = 0.033). Overweight status and insulin resistance were associated with higher levels of inflammation (hsCRP ≥1 mg/L) and cardiovascular risk according to arterial indices. With each cm increase in waist circumference, the HOMA index increased by 0.082; with each metabolic equivalent (MET) unit increase in physical activity, the HOMA index decreased by 0.026.

          Conclusions

          Sedentary behaviour and a waist circumference > p90 amongst overweight adolescents were associated with insulin resistance, lipid profile alterations, and higher inflammatory states. A screening that includes body mass index, in waist circumference, and physical activity evaluations of adolescents might enable the early detection of these alterations.

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          Most cited references68

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          Exercise and Type 2 Diabetes

          Although physical activity (PA) is a key element in the prevention and management of type 2 diabetes, many with this chronic disease do not become or remain regularly active. High-quality studies establishing the importance of exercise and fitness in diabetes were lacking until recently, but it is now well established that participation in regular PA improves blood glucose control and can prevent or delay type 2 diabetes, along with positively affecting lipids, blood pressure, cardiovascular events, mortality, and quality of life. Structured interventions combining PA and modest weight loss have been shown to lower type 2 diabetes risk by up to 58% in high-risk populations. Most benefits of PA on diabetes management are realized through acute and chronic improvements in insulin action, accomplished with both aerobic and resistance training. The benefits of physical training are discussed, along with recommendations for varying activities, PA-associated blood glucose management, diabetes prevention, gestational diabetes mellitus, and safe and effective practices for PA with diabetes-related complications.
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            Adipose tissue dysfunction in obesity, diabetes, and vascular diseases.

            The classical perception of adipose tissue as a storage place of fatty acids has been replaced over the last years by the notion that adipose tissue has a central role in lipid and glucose metabolism and produces a large number of hormones and cytokines, e.g. tumour necrosis factor-alpha, interleukin-6, adiponectin, leptin, and plasminogen activator inhibitor-1. The increased prevalence of excessive visceral obesity and obesity-related cardiovascular risk factors is closely associated with the rising incidence of cardiovascular diseases and type 2 diabetes mellitus. This clustering of vascular risk factors in (visceral) obesity is often referred to as metabolic syndrome. The close relationship between an increased quantity of visceral fat, metabolic disturbances, including low-grade inflammation, and cardiovascular diseases and the unique anatomical relation to the hepatic portal circulation has led to an intense endeavour to unravel the specific endocrine functions of this visceral fat depot. The objective of this paper is to describe adipose tissue dysfunction, delineate the relation between adipose tissue dysfunction and obesity and to describe how adipose tissue dysfunction is involved in the development of diabetes mellitus type 2 and atherosclerotic vascular diseases. First, normal physiology of adipocytes and adipose tissue will be described.
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              Waist circumference percentiles in nationally representative samples of African-American, European-American, and Mexican-American children and adolescents.

              To describe and provide estimates of the distribution of waist circumference (WC) according to percentiles in African-, European-, and Mexican-American children, and to test for group differences at different percentiles. Cross-sectional data from the Third National Health and Nutrition Examination Survey (NHANES III) were examined. The sample evaluated included 9713 nonpregnant persons 2 to 18 years of age with measured values of WCs. Age-, sex-, and ethnicity-specific percentiles were estimated via percentile regression. WC measurements increased in a monotonic fashion across ages but at nonconstant rates and in a manner that varied across age and sex. At higher percentiles of the distribution, estimates of WC differ between Mexican-American (MA) and European-American (EA) and between African-American (AA) and European-American (EA), and, in some cases, exceeded the adult cutoff value for obesity-related disease risk at as early as 13 years of age. Age-, sex-, and ethnicity-specific WC percentiles are available for US children and adolescents and can be used as an assessment tool that could impact public health recommendations. Results suggest concern with respect to high WC values among certain ethnic groups.
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                Author and article information

                Contributors
                claudia.velasquez@udea.edu.co
                marce.villa21@gmail.com
                leidygomez0217@gmail.com
                juliana.bermudez@udea.edu.co
                Journal
                BMC Pediatr
                BMC Pediatr
                BMC Pediatrics
                BioMed Central (London )
                1471-2431
                10 October 2014
                2014
                : 14
                : 1
                : 258
                Affiliations
                Research Group in Food and Human Nutrition, Universidad de Antioquia (UdeA), Calle 70 No. 52-21, Medellín, Colombia
                Article
                1180
                10.1186/1471-2431-14-258
                4286933
                25301371
                7119dba9-5bd1-4117-acad-5b2250d2d598
                © Velásquez-Rodríguez et al.; licensee BioMed Central Ltd. 2014

                This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 19 May 2014
                : 23 September 2014
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2014

                Pediatrics
                insulin resistance,abdominal obesity,metabolic syndrome,physical activity,adolescents
                Pediatrics
                insulin resistance, abdominal obesity, metabolic syndrome, physical activity, adolescents

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