Lipid profile pattern in pediatric overweight population with or without NAFLD in relation to IDF criteria for metabolic syndrome: a preliminary study

1. WORLD HEALTH ORGANISATION. GLOBAL STRATEGY ON DIET, PHYSICAL ACTIVITY AND HEALTH. http://www.who.int/dietphysicalactivity/childhood/en/ accessed on 27/09/2017.Search in Google Scholar

2. FARAG Y.M., GABALLA MR. Diabesity: an overview of a rising epidemic. Nephrol Dial Transplant. 2011; 26(1):28-35.10.1093/ndt/gfq57621045078Search in Google Scholar

3. ZIMMET P., ALBERTI K.G., KAUFMAN F., TAJIMA N., SILINK M., ARSLANIAN S. et al. IDF Consensus group. The metabolic syndrome in children and adolescents – an IDF consensus report. Pediatr Diabetes. 2007; 8(5):299-306.10.1111/j.1399-5448.2007.00271.x17850473Open DOISearch in Google Scholar

4. VAJRO P., LENTA S., SOCHA P., DHAWAN A., MCKIERNAN P., BAUMANN U. et al. Diagnosis of nonalcoholic fatty liver disease in children and adolescents: position paper of the ESPGHAN Hepatology Committee. J Pediatr Gastroenterol Nutr. 2012; 54(5):700-13.10.1097/MPG.0b013e318252a13f22395188Open DOISearch in Google Scholar

5. DI BONITO P, VALERIO G, GRUGNI G, LICENZIATI MR, MAFFEIS C, MANCO M et al. CARdiometabolic risk factors in overweight and obese children in ITALY (CARITALY) Study Group. Comparison of non-HDL-cholesterol versus triglyceridesto-HDL-cholesterol ratio in relation to cardiometabolic risk factors and preclinical organ damage in overweight/obese children: the CARITALY study. Nutr Metab Cardiovasc Dis. 2015; 25(5):489-94.10.1016/j.numecd.2015.01.01225813687Search in Google Scholar

6. VIRANI SS. Non-HDL Cholesterol as a metric of good quality of care: Opportunities and challenges. Coulter SA, ed. Texas Heart Institute Journal. 2011; 38(2):160-162.Search in Google Scholar

7. OLIVEIRA, A., OLIVEIRA, A., OLIVEIRA, N., OLIVEIRA, A., ALMEIDA, M., VENEZA L. et al. Is triglyceride to highdensity lipoprotein cholesterol ratio a surrogates for insulin resistance in youth? Health. 2013; 5, 481-485.10.4236/health.2013.53066Open DOISearch in Google Scholar

8. CENTER FOR DISEASE CONTROL AND PREVENTION https://www.cdc.gov/growthcharts/cdc_charts.htm, accessed on 27/09/2017.Search in Google Scholar

9. FERNÁNDEZ JR, REDDEN DT, PIETROBELLI A, ALLISON DB. Waist circumference percentiles in nationally representative samples of African-American, European-American, and Mexican-American children and adolescents. J Pediatr. 2004; 145(4):439-44.10.1016/j.jpeds.2004.06.04415480363Search in Google Scholar

10. FRISANCHO AR. New norms of upper limb fat and muscle areas for assessment of nutritional status. Am J Clin Nutr. 1981; 34(11):2540-5.697556410.1093/ajcn/34.11.25406975564Search in Google Scholar

11. WHO IRIS (INSTITUTIONAL REPOSITORY FOR INFORMATION SHARING) http://apps.who.int/iris/handle/10665/43376 accessed on 27/09/2017.Search in Google Scholar

12. SCHWIMMER JB, DUNN W, NORMAN GJ, PARDEE PE, MIDDLETON MS, KERKAR N. et al. SAFETY study: alanine aminotransferase cutoff values are set too high for reliable detection of pediatric chronic liver disease. Gastroenterology 2010; 138:1357–64.10.1053/j.gastro.2009.12.052284696820064512Search in Google Scholar

13. ATABEK ME, SELVER EKLIOGLU B, AKYÜREK N. Which metabolic syndrome criteria best predict non-alcoholic fatty liver disease in children? Eat Weight Disord. 2014; 19(4):495-501.10.1007/s40519-014-0129-024844310Search in Google Scholar

14. VOS MB, ABRAMS SH, BARLOW SE, CAPRIO S, DANIELS SR, KOHLI R. et al. NASPGHAN Clinical practice guideline for the diagnosis and treatment of nonalcoholic fatty liver disease in children: Recommendations from the Expert Committee on NAFLD (ECON) and the North American Society of Pediatric Gastroenterology, Hepatology and Nutrition (NASPGHAN). J Pediatr Gastroenterol Nutr. 2017; 64(2):319-334.10.1097/MPG.0000000000001482541393328107283Open DOISearch in Google Scholar

15. WEISS R, OTVOS JD, SINNREICH R, MISEREZ AR, KARK JD. The triglyceride to high-density lipoprotein-cholesterol ratio in adolescence and subsequent weight gain predict nuclear magnetic resonance-measured lipoprotein subclasses in adulthood. J Pediatr. 2011; 158(1):44-50.10.1016/j.jpeds.2010.07.00220801459Search in Google Scholar

16. SULLIVAN JS, LE MT, PAN Z, RIVARD C, LOVE-OSBORNE K, ROBBINS K. et al. Oral fructose absorption in obese children with non-alcoholic fatty liver disease. Pediatric obesity. 2015; 10(3):188-195.10.1111/ijpo.238494898824961681Search in Google Scholar

17. SONG P, YU J, WANG M, CHANG X, WANG J, AN L. Prevalence and correlates of suspected nonalcoholic fatty liver disease in Chinese children. Int J Environ Res Public Health. 2017; 27; 14(5).10.3390/ijerph14050465545191628448433Search in Google Scholar

18. ANDERSON EL, HOWE LD, JONES HE, HIGGINS JP, LAWLOR DA, FRASER A. The Prevalence of non-alcoholic fatty liver disease in children and adolescents: A systematic review and meta-analysis. PLoS One. 2015; 29; 10(10):e0140908.10.1371/journal.pone.0140908462602326512983Search in Google Scholar

19. EXPERT PANEL ON INTEGRATED GUIDELINES FOR CARDIOVASCULAR HEALTH AND RISK REDUCTION IN CHILDREN AND ADOLESCENTS; National Heart, Lung, and Blood Institute. Expert panel on integrated guidelines for cardiovascular health and risk reduction in children and adolescents: summary report. Pediatrics. 2011; 128 Suppl 5:S213-56.10.1542/peds.2009-2107C453658222084329Search in Google Scholar

20. LOOMBA R, ABRAHAM M, UNALP A, WILSON L, LAVINE J, DOO E. et al. Nonalcoholic steatohepatitis clinical research network. Association between diabetes, family history of diabetes, and risk of nonalcoholic steatohepatitis and fibrosis. Hepatology. 2012; 56(3):943-51.10.1002/hep.25772340728922505194Open DOISearch in Google Scholar