Literature DB >> 24923289

Predictors of metabolic risk in childhood obesity.

Anita Morandi1, Claudio Maffeis.   

Abstract

Most of the complications of juvenile obesity are due to metabolic disturbances induced by an excessive accumulation of fat which leads to chronic diseases like type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD). Finding effective ways of identifying obese paediatric patients who are at increased risk of developing cardiovascular and metabolic complications has been recognised to be a promising strategy to improve prevention of complications of early obesity. Moreover, correctly identifying obese children who are already affected by metabolic co-morbidities should be a clinical priority. According to the state of the art summarised in this review, traditional metabolic variables included in the definitions of metabolic syndrome (MS), pre-diabetes, non-alcoholic fatty liver disease (NAFLD)/non-alcoholic steato-hepatitis and, in obese girls, the presence of polycystic ovary syndrome are the best available longitudinal predictors of CVD and T2DM among obese children and adolescents. In clinical practice, traditional metabolic variables included in the definitions of MS should be assessed in all obese children and adolescents; fasting metabolic variables have been proposed to identify obese patients likely to be affected by impaired glucose tolerance or T2DM, and ultrasound has proved to be a valid surrogate for biopsy in the diagnosis of NAFLD. Further large longitudinal and cross-sectional studies are needed to improve our chances of identifying obese youth at the highest metabolic risk.

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Year:  2014        PMID: 24923289     DOI: 10.1159/000362237

Source DB:  PubMed          Journal:  Horm Res Paediatr        ISSN: 1663-2818            Impact factor:   2.852


  17 in total

1.  Metabolic Risk Factors and Type 2 Diabetes Incidence in American Indian Children.

Authors:  Kevin M Wheelock; Madhumita Sinha; William C Knowler; Robert G Nelson; Gudeta D Fufaa; Robert L Hanson
Journal:  J Clin Endocrinol Metab       Date:  2016-02-25       Impact factor: 5.958

Review 2.  The dangerous link between childhood and adulthood predictors of obesity and metabolic syndrome.

Authors:  Maria Felicia Faienza; David Q H Wang; Gema Frühbeck; Gabriella Garruti; Piero Portincasa
Journal:  Intern Emerg Med       Date:  2016-01-12       Impact factor: 3.397

3.  Nutritional Status Assessment in Children and Adolescents with Various Levels of Physical Activity in Aspect of Obesity.

Authors:  Jerzy Słowik; Elżbieta Grochowska-Niedworok; Izabela Maciejewska-Paszek; Marek Kardas; Ewa Niewiadomska; Magdalena Szostak-Trybuś; Maria Palka-Słowik; Tomasz Irzyniec
Journal:  Obes Facts       Date:  2019-10-22       Impact factor: 3.942

4.  Salivary glucose concentration exhibits threshold kinetics in normal-weight, overweight, and obese children.

Authors:  Mor-Li Hartman; J Max Goodson; Roula Barake; Osama Alsmadi; Sabiha Al-Mutawa; Jitendra Ariga; Pramod Soparkar; Jawad Behbehani; Kazem Behbehani; Francine Welty
Journal:  Diabetes Metab Syndr Obes       Date:  2014-12-17       Impact factor: 3.168

5.  Dietary factors associated with metabolic syndrome and its components in overweight and obese Brazilian schoolchildren: a cross-sectional study.

Authors:  Ana Elisa Madalena Rinaldi; Gleice Fernanda Costa Pinto Gabriel; Fernando Moreto; José Eduardo Corrente; Kátia Cristina Portero McLellan; Roberto Carlos Burini
Journal:  Diabetol Metab Syndr       Date:  2016-08-24       Impact factor: 3.320

6.  Epidemics of overweight and obesity among growing childhood in China between 1997 and 2009: Impact of Family Income, Dietary Intake, and Physical Activity Dynamics.

Authors:  Chang Su; Bing Zhang; You-Fa Wang; Xiao-Fang Jia; Hong Xue; Hui-Jun Wang
Journal:  Chin Med J (Engl)       Date:  2015-07-20       Impact factor: 2.628

7.  Urinary volatile organic compounds in overweight compared to normal-weight children: results from the Italian I.Family cohort.

Authors:  Rosaria Cozzolino; Beatrice De Giulio; Pasquale Marena; Antonella Martignetti; Kathrin Günther; Fabio Lauria; Paola Russo; Matteo Stocchero; Alfonso Siani
Journal:  Sci Rep       Date:  2017-11-15       Impact factor: 4.379

8.  A Comprehensive Survey of the Roles of Highly Disordered Proteins in Type 2 Diabetes.

Authors:  Zhihua Du; Vladimir N Uversky
Journal:  Int J Mol Sci       Date:  2017-09-21       Impact factor: 5.923

Review 9.  Sex Hormone-Binding Globulin in Children and Adolescents.

Authors:  Banu Aydın; Stephen J Winters
Journal:  J Clin Res Pediatr Endocrinol       Date:  2015-01-18

Review 10.  A Guide to Non-Alcoholic Fatty Liver Disease in Childhood and Adolescence.

Authors:  Jonathan L Temple; Paul Cordero; Jiawei Li; Vi Nguyen; Jude A Oben
Journal:  Int J Mol Sci       Date:  2016-06-15       Impact factor: 5.923

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