First report on the validity of a continuous Metabolic Syndrome score as an indicator for Metabolic Syndrome in a national sample of paediatric population - The CASPIAN-III study

Endokrynologia Polska

Volumn 64, Issue 4, 2013, Pages 278-284

  Shafiee, Gita ^a   Kelishadi, Roya ^b   Heshmat, Ramin ^a   Qorbani, Mostafa ^c,d   Motlagh, Mohammad Esmaeil ^e,f   Aminaee, Tahereh ^f   Ardalan, Gelayol ^f   Taslimi, Mahnaz ^g   Poursafa, Parinaz ^b   Larijani, Bagher ^a  

^a TEHRAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^b ISFAHAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^c ALBORZ UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^d IRAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^e AHVAZ JUNDISHAPUR UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^f MINISTRY OF HEALTH AND MEDICAL EDUCATION   (Iran)

^g Ministry of Education and Training   (Iran)

Author keywords

Children; Continuous Metabolic Syndrome score; Validity

Indexed keywords

GLUCOSE; HIGH DENSITY LIPOPROTEIN CHOLESTEROL; TRIACYLGLYCEROL; BIOLOGICAL MARKER; CHOLESTEROL;

ADOLESCENT; ARTICLE; CHILD; CONTINUOUS METABOLIC SYNDROME SCORE; FEMALE; GENDER; HUMAN; IRAN; MAJOR CLINICAL STUDY; MALE; MEAN ARTERIAL PRESSURE; METABOLIC SYNDROME X; RISK FACTOR; SCHOOL CHILD; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; VALIDITY; WAIST CIRCUMFERENCE; BLOOD; BODY MASS; COMPLICATION; EPIDEMIOLOGY; HEALTH STATUS; PEDIATRIC OBESITY; PREDICTIVE VALUE; PROCEDURES; RECEIVER OPERATING CHARACTERISTIC; RISK ASSESSMENT; VALIDATION STUDY;

ADOLESCENT; BIOLOGICAL MARKERS; BODY MASS INDEX; CHILD; CHOLESTEROL; FEMALE; HEALTH STATUS; HUMANS; IRAN; MALE; METABOLIC SYNDROME X; PEDIATRIC OBESITY; PREDICTIVE VALUE OF TESTS; RISK ASSESSMENT; ROC CURVE; SENSITIVITY AND SPECIFICITY; TRIGLYCERIDES; WAIST CIRCUMFERENCE;

EID: 84884889751     PISSN: 0423104X     EISSN: None     Source Type: Journal    
DOI: 10.5603/EP.2013.0006     Document Type: Article

References (43)

1. Reppert A, Steiner B F, Chapman-Novakofski K. Prevalence of metabolic syndrome and associated risk factors in Illinois. Am J Health Promot 2008; 23: 130-138.
2. Day C. Metabolic syndrome, or What you will: definitions and epidemiology. Diab Vasc Dis Res 2007; 4: 32-38. (Pubitemid 46649071)
3. Liu W, Lin R, Liu A et al. Prevalence and association between obesity and metabolic syndrome among Chinese elementary school children: a school-based survey. BMC Public Health 2010; 10. 780.
4. Nguyen N.T., Magno C P, Lane KT et al. Association of hypertension, diabetes, dyslipidemia, and metabolic syndrome with obesity: findings from the National Health and Nutrition Examination Survey, 1999 t. 2004. J Am Coll Surg 2008; 207: 928-934.
5. Kelishadi R, Ardalan G, Gheiratmand R et al. Paediatric metabolic syndrome and associated anthropometric indices: the CASPIAN Study. Acta Paediatr 2006; 95: 1625-1634. (Pubitemid 44863817)
6. Kahn R, Buse J, Ferrannini E et al. The metabolic syndrome: time for a critical appraisal: joint statement from the American Diabetes Association and the European Association for the Study of Diabetes. Diabetes Care 2005; 28: 2289-2304. (Pubitemid 41242486)
7. Tentolouris N, Papazafiropoulou A, Moyssakis I et al. Metabolic syndrome is not associated with reduction in aortic distensibility in subjects with type 2 diabetes mellitus. Cardiovasc Diabetol 2008; 7. 1.
8. Eisenmann JC. Aerobic fitness, fatness and the metabolic syndrome in children and adolescents. Acta Paediatr 2007; 96: 1723-1729. (Pubitemid 350132028)
9. Ragland DR. Dichotomizing continuous outcome variables: dependence of the magnitude of association and statistical power on the cutpoint. Epidemiology 1992; 3: 434-440.
10. Klein BE, Klein R, Lee KE Components of the metabolic syndrome and risk of cardiovascular disease and diabetes in Beaver Dam. Diabetes Care 2002; 25: 1790-1794. (Pubitemid 41071088)
11. Wijndaele K, Beunen G, Duvigneaud N et al. A continuous metabolic syndrome risk score: utility for epidemiological analyses. Diabetes Care 2006; 29. 2329. (Pubitemid 44899880)
12. Katzmarzyk P.T., Perusse L, Malina RM et al. Stability of indicators of the metabolic syndrome from childhood and adolescence to young adulthood: the Quebec Family Study. J Clin Epidemiol 2001; 54: 190-195. (Pubitemid 32112377)
13. Andersen LB, Harro M, Sardinha LB et al. Physical activity and clustered cardiovascular risk in children: a cross-sectional study (The European Youth Heart Study). Lancet 2006; 368: 299-304. (Pubitemid 44067246)
14. Brage S, Wedderkopp N, Ekelund U et al. Features of the metabolic syndrome are associated with objectively measured physical activity and fitness in Danish children: the European Youth Heart Study (EYHS). Diabetes Care 2004; 27: 2141-2148. (Pubitemid 39167176)
15. Eisenmann JC, Katzmarzyk P T, Perusse L et al. Aerobic fitness, body mass index, and CVD risk factors among adolescents: the Quebec family study. Int J Obes (Lond) 2005; 29: 1077-1083. (Pubitemid 41192215)
16. Raitakari O.T., Porkka K V, Rasanen L et al. Clustering and six year cluster-tracking of serum total cholesterol, HDL-cholesterol and diastolic blood pressure in children and young adults. The Cardiovascular Risk in Young Finns Study. J Clin Epidemiol 1994; 47: 1085-1093.
17. Okosun IS, Lyn R, Davis-Smith M et al. Validity of a continuous metabolic risk score as an index for modeling metabolic syndrome in adolescents. Ann Epidemiol 2010; 20: 843-851.
18. Eisenmann JC, Laurson KR, DuBose KD et al. Construct validity of a continuous metabolic syndrome score in children. Diabetol Metab Syndr 2010; 2. 8.
19. Zimmet P. The burden of type 2 diabetes: are we doing enough? Diabetes & metabolism 2003; 29: 6S9-6S18.
20. Ghassemi H, Harrison G, Mohammad K. An accelerated nutrition transition in Iran. Public Health Nutr 2002; 5: 149-155. (Pubitemid 41128301)
21. Kelishadi R, Heshmat R, Motlagh ME et al. Methodology and Early Findings of the Third Survey of CASPIAN Study: A National School-Based Surveillance of Students' High Risk Behaviors. Int J Pre Med 2012; 3: 394-401.
22. McNamara JR, Schaefer EJ Automated enzymatic standardized lipid analyses for plasma and lipoprotein fractions. Clin Chim Acta 1987; 166: 1-8. (Pubitemid 17095867)
23. Cook S, Weitzman M, Auinger P et al. Prevalence of a metabolic syndrome phenotype in adolescents: findings from the third National Health and Nutrition Examination Survey, 1988-1994. Arch Pediatr Adolesc Med 2003; 157: 821-827. (Pubitemid 36988016)
24. Antonopoulos S. Third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III) fnal report. Circulation 2002; 106. 3421.
25. Genuth S, Alberti KG, Bennett P et al. Follow-up report on the diagnosis of diabetes mellitus. Diabetes Care 2003, 26: 3160-3167.
26. Alberti KG, Zimmet P, Shaw J. The metabolic syndrome - a new worldwide definition. Lancet 2005; 366: 1059-1062. (Pubitemid 41338752)
27. Perkins NJ, Schisterman EF The inconsistency of "optimal," cutpoints obtained using two criteria based on the receiver operating characteristic curve. Am J Epidemiol 2006; 163: 670-675.
28. Zweig MH, Campbell G. Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clin Chem 1993; 39: 561-577. (Pubitemid 23118304)
29. Ford ES. Risks for all-cause mortality, cardiovascular disease, and diabetes associated with the metabolic syndrome: a summary of the evidence. Diabetes Care 2005; 28: 1769-1778. (Pubitemid 40923091)
30. de Ferranti S.D., Gauvreau K, Ludwig DS et al. Prevalence of the metabolic syndrome in American adolescents: findings from the Third National Health and Nutrition Examination Survey. Circulation 2004; 110: 2494-2497. (Pubitemid 39407358)
31. Kelishadi R, Cook SR, Motlagh ME et al. Metabolically obese normal weight and phenotypically obese metabolically normal youths: the CASPIAN Study. J Am Diet Assoc 2008; 108: 82-90. (Pubitemid 350296016)
32. Boker S, Frelut ML, Vania A et al. Prevalence of matabolic syndrome in European obese children. Int J Pediatr Obes 2008, 1; 3 (Suppl. 2): 3-8.
33. Eisenmann JC. On the use of a continuous metabolic syndrome score in pediatric research. Cardiovascular diabetology 2008; 7. 17.
34. Batey LS, Goff DC, Jr., Tortolero SR et al. Summary measures of the insulin resistance syndrome are adverse among Mexican-American versus non-Hispanic white children: the Corpus Christi Child Heart Study. Circulation 1997; 96: 4319-4325. (Pubitemid 28007461)
35. Delavari A, Forouzanfar MH, Alikhani S et al. First nationwide study of the prevalence of the metabolic syndrome and optimal cutoff points of waist circumference in the Middle East: the national survey of risk factors for noncommunicable diseases of Iran. Diabetes Care 2009; 32: 1092-1097.
36. Dowse G, Zimmet P. The thrifty genotype in non-insulin dependent diabetes. BMJ 1993; 306: 532-533. (Pubitemid 23056867)
37. Zabetian A, Hadaegh F, Azizi F. Prevalence of metabolic syndrome in Iranian adult population, concordance between the IDF with the ATPIII and the WHO definitions. Diabetes Res Clin Pract 2007; 77: 251-257. (Pubitemid 46671653)
38. Smith SC Jr. Multiple risk factors for cardiovascular disease and diabetes mellitus. Am J Med 2007; 120: S3-S11.
39. Kelishadi R, Ardalan G, Gheiratmand R et al. Association of physical activity and dietary behaviours in relation to the body mass index in a national sample of Iranian children and adolescents: CASPIAN Study. Bull World Health Organ 2007; 85: 19-26. (Pubitemid 46105323)
40. Morrison JA, Friedman LA, Wang P et al. Metabolic syndrome in childhood predicts adult metabolic syndrome and type 2 diabetes mellitus 25 to 30 years later. J Pediatr 2008; 152: 201-206.
41. Cruz ML, Goran MI The metabolic syndrome in children and adolescents. Curr Diab Rep 2004; 4: 53-62. (Pubitemid 39359511)
42. Pandit D, Chiplonkar S, Khadilkar A et al. Efficacy of a continuous metabolic syndrome score in Indian children for detecting subclinical atherosclerotic risk. Int J Obes (Lond) 2011; 35: 1318-1324.
43. Gungor N, Saad R, Janosky J et al. Validation of surrogate estimates of insulin sensitivity and insulin secretion in children and adolescents. J Pediatr 2004; 144: 47-55. (Pubitemid 38091421)