Metabolic syndrome and associated factors in a population-based sample of schoolchildren in Colombia : The FUPRECOL Study

In contrast to the definition of metabolic syndrome (MetS) in adults, there is no standard definition of MetS in pediatric populations. We aimed to assess the differences in the prevalence of MetS in children and adolescents aged 9–17 years in the city of Bogota (Colombia) using four different opera...

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Autor Principal: Anzola Zamudio, Jose
Otros Autores: Ramírez-Vélez, Robinson
Formato: Tesis de maestría (Master Thesis)
Lenguaje:Español (Spanish)
Publicado: Universidad del Rosario 2016
Materias:
Acceso en línea:http://repository.urosario.edu.co/handle/10336/12106
id ir-10336-12106
recordtype dspace
institution EdocUR - Universidad del Rosario
collection DSpace
language Español (Spanish)
topic Prevalence
Inflammation
Obesity
Cardiovascular disease
Enfermedades
Obesidad en niños
Síndrome X Metabólico
spellingShingle Prevalence
Inflammation
Obesity
Cardiovascular disease
Enfermedades
Obesidad en niños
Síndrome X Metabólico
Anzola Zamudio, Jose
Metabolic syndrome and associated factors in a population-based sample of schoolchildren in Colombia : The FUPRECOL Study
description In contrast to the definition of metabolic syndrome (MetS) in adults, there is no standard definition of MetS in pediatric populations. We aimed to assess the differences in the prevalence of MetS in children and adolescents aged 9–17 years in the city of Bogota (Colombia) using four different operational definitions for these age groups and to examine the associated variables. A total of 673 children and 1,247 adolescents attending public schools in Bogota (54.4% girls; age range 9–17.9 years) were included. The prevalence of MetS was determined by the definitions provided by the International Diabetes Federation (IDF) and three published studies by Cook et al., de Ferranti et al., and Ford et al. The prevalence of MetS was 0.3%, 6.3%, 7.8%, and 11.0% according to the IDF, Cook et al., Ford et al., and de Ferranti et al. definitions, respectively. The most prevalent components were low high-density lipoprotein cholesterol and high triglyceride levels, whereas the least prevalent components were abdominal obesity and hyperglycemia. Overall, the prevalence of MetS was higher in obese than in non-obese schoolchildren. In conclusion, MetS diagnoses in schoolchildren strongly depend on the definition chosen. These findings may be relevant to health promotion efforts for Colombian youth to develop prospective studies and to define which cut-offs are the best indicators of future morbidity.
author2 Ramírez-Vélez, Robinson
author_facet Ramírez-Vélez, Robinson
Anzola Zamudio, Jose
format Tesis de maestría (Master Thesis)
author Anzola Zamudio, Jose
author_sort Anzola Zamudio, Jose
title Metabolic syndrome and associated factors in a population-based sample of schoolchildren in Colombia : The FUPRECOL Study
title_short Metabolic syndrome and associated factors in a population-based sample of schoolchildren in Colombia : The FUPRECOL Study
title_full Metabolic syndrome and associated factors in a population-based sample of schoolchildren in Colombia : The FUPRECOL Study
title_fullStr Metabolic syndrome and associated factors in a population-based sample of schoolchildren in Colombia : The FUPRECOL Study
title_full_unstemmed Metabolic syndrome and associated factors in a population-based sample of schoolchildren in Colombia : The FUPRECOL Study
title_sort metabolic syndrome and associated factors in a population-based sample of schoolchildren in colombia : the fuprecol study
publisher Universidad del Rosario
publishDate 2016
url http://repository.urosario.edu.co/handle/10336/12106
_version_ 1645142378497966080
spelling ir-10336-121062019-09-19T12:37:54Z Metabolic syndrome and associated factors in a population-based sample of schoolchildren in Colombia : The FUPRECOL Study Anzola Zamudio, Jose Ramírez-Vélez, Robinson Correa Bautista, Jorge Enrique Prevalence Inflammation Obesity Cardiovascular disease Enfermedades Obesidad en niños Síndrome X Metabólico In contrast to the definition of metabolic syndrome (MetS) in adults, there is no standard definition of MetS in pediatric populations. We aimed to assess the differences in the prevalence of MetS in children and adolescents aged 9–17 years in the city of Bogota (Colombia) using four different operational definitions for these age groups and to examine the associated variables. A total of 673 children and 1,247 adolescents attending public schools in Bogota (54.4% girls; age range 9–17.9 years) were included. The prevalence of MetS was determined by the definitions provided by the International Diabetes Federation (IDF) and three published studies by Cook et al., de Ferranti et al., and Ford et al. The prevalence of MetS was 0.3%, 6.3%, 7.8%, and 11.0% according to the IDF, Cook et al., Ford et al., and de Ferranti et al. definitions, respectively. The most prevalent components were low high-density lipoprotein cholesterol and high triglyceride levels, whereas the least prevalent components were abdominal obesity and hyperglycemia. Overall, the prevalence of MetS was higher in obese than in non-obese schoolchildren. In conclusion, MetS diagnoses in schoolchildren strongly depend on the definition chosen. These findings may be relevant to health promotion efforts for Colombian youth to develop prospective studies and to define which cut-offs are the best indicators of future morbidity. Universidad del Rosario 2016-06-10 2016-07-05T14:37:22Z info:eu-repo/semantics/masterThesis info:eu-repo/semantics/acceptedVersion http://repository.urosario.edu.co/handle/10336/12106 spa http://creativecommons.org/licenses/by-nc-nd/2.5/co/ info:eu-repo/semantics/openAccess application/pdf Universidad del Rosario Maestría en Actividad Física y Salud Facultad de medicina instname:Universidad del Rosario reponame:Repositorio Institucional EdocUR Agudelo GM, Bedoya G, Estrada A, Patiño FA, Muñoz AM, Velásquez CM (2014) Variations in the prevalence of metabolic syndrome in adolescents according to different criteria used for diagnosis: which definition should be chosen for this age group? Metab Syndr Relat Disord 12:202-209. Balkau B, Charles MA (1999) Comment on the provisional report from the WHO consultation. European Group for the Study of Insulin Resistance (EGIR). Diabet Med 16:442-443. Celik T, Iyisoy A, Yuksel UC (2010) Pediatric metabolic syndrome: A growing threat. Intern J Cardiol 142:302-303. Chen F, Wang W, Teng Y, Hou D, Zhao X, Yang P, Yan Y, Mi J (2014) Relationship between high-sensitivity C-reactive protein and obesity/metabolic syndrome in children. Zhonghua Liu Xing Bing Xue Za Zhi 35:621-625. Cole TJ, Bellizzi MC, Flegal KM, Dietz WH (2000) Establishing a standard defi nition for child overweight and obesity worldwide: international survey. BMJ 320:1240-1243. Cook S, Weitzman M, Auinger P, Nguyen M, Dietz WH (2003) Prevalence of a metabolic syndrome phenotype in adolescents: Findings from the third National Health and Nutrition Examination Survey, 1988–1994. Arch Pediatr Adolesc Med 157:821-827. de Ferranti S, Gauvreau K, Ludwig DS, Neufeld EJ, Newburger JW, Rifai N (2004) Prevalence of the metabolic syndrome in American adolescents: Findings from the Third National Health and Nutrition Examination Survey. Circulation 110:2494-2497. Departamento Administrativo Nacional de Estadística (DANE). Los grupos étnicos de Colombia en el censo de 2005. Análisis de Resultados, Bogotá, Colombia, 25-26, 2007. Despres JP (2012) Body fat distribution and risk of cardiovascular disease: an update. Circulation 126:1301-1313. Falkner B, Hassink S, Ross J, Gidding S (2002) Dysmetabolic syndrome: multiple risk factors for premature adult disease in a adolescent girl. Pediatrics 110:e14. Ford ES, Li C (2008) Defining the metabolic syndrome in children and adolescents: will the real definition please stand up? J Pediatr 152:160-164 Ford ES; National Health and Nutrition Examination Survey (2003) C-reactive protein concentration and cardiovascular disease risk factors in children: findings from the 16 National Health and Nutrition Examination Survey 1999-2000. Circulation 108:1053- 1058. Friedewald WT, Levy RI, Fredrickson DS (1972) Estimation of the concentration of lowdensity lipoprotein cholesterol in serum, without use of the preparative ultracentrifuge. Clin Chem 18:499-502. Friend A, Craig L, Turner S (2013) The prevalence of metabolic syndrome in children: a systematic review of the literature. Metab Syndr Relat Disord 11:71-80. Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, Gordon DJ, Krauss RM, Savage PJ, Smith SC Jr, Spertus JA, Fernando Costa (2006) Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute scientific statement. Curr Opin Cardiol 21(1):1-6. Ice CL, Murphy E, Minor VE, Neal WA (2009) Metabolic syndrome in fifth grade children with acanthosis nigricans: results from the CARDIAC project. World J Pediat 5(1):23-30. Jones KL (2006) The dilemma of the metabolic syndrome in children and adolescents: disease or distraction? Pediatr Diabetes 7:311-321. Lambert M, Delvin EE, Paradis G, O'Loughlin J, Hanley JA, Levy E (2004) C-reactive protein and features of the metabolic syndrome in a population-based sample of children and adolescents. Clin Chem 50:1762-1768. Lopez-Jaramillo P, Lahera V, Lopez-Lopez J (2011) Epidemic of cardiometabolic diseases: a Latin American point of view. Ther Adv Cardiovasc Dis 5:119-131. Marfell-Jones, M, Olds, T, Stewart A. International standards for anthropometric assessment. Potchefstroom, South Africa: ISAK, 2006. Matsudo SMM, Matsudo VKR (1994) Self-assessment and physician assessment of sexual maturation in Brazilian boys and girls – concordance and reproducibility. Am J Hum Biol 6:451-455. Moran A, Steffen LM, Jacobs DR Jr, Steinberger J, Pankow JS, Hong CP, Tracy RP, Sinaiko AR (2005) Relation of C-reactive protein to insulin resistance and cardiovascular risk factors in youth. Diabetes Care 28:1763-1768. Prieto-Benavides DH, Correa-Bautista JE, Ramírez-Vélez R (2015) Physical activity levels, physical fitness and scree time among children and adolescents from Bogotá, Colombia: The FUPRECOL Study. Nut Hosp 32:2184-2192. Ramírez-Vélez R, Milton F. Suárez, Mildrey Mosquera, Ana C. Aguilar de Plata (2011a) Association between adiposity and cardiovascular risk factors in infants pre-pubertal. Endocrinol Nutr 58:457-463 Ramírez-Vélez R, Rodrigues-Bezerra D, Correa-Bautista JE, Izquierdo M, Lobelo F (2015) Reliability of Health-Related Physical Fitness Tests among Colombian Children and Adolescents: The FUPRECOL Study. PLoS One 10:e0140875. Ramírez-Vélez R, Suaréz-Ortegón MF, Aguilar de Plata AC (2011b). Association between adiposity and cardiovascular risk factors in prepubertal children. Endocrinol Nutr 58:457-463 Reinehr T, de Sousa G, Toschke AM, Andler W (2007) Comparison of metabolic syndrome prevalence using eight different definitions: a critical approach. Arch Dis Child 92:1067-1072. Rodríguez-Bautista YP, Correa-Bautista JE, González-Jiménez E, Schmidt-RioValle J, Ramírez-Vélez R (2015) Values of waist/hip ratio among children and adolescents from Bogotá, Colombia: The FUPRECOL Study. Nut Hosp 32:2054-2061. Rodriguez-Moran M, Salazar-Vázquez B, Violante R, Guerrero-Romero F (2004) Metabolic syndrome among children and adolescents aged 10–18 years. Diabetes Care 7:2516-2517. Selassie M, Sinha AC (2011) The epidemiology and aetiology of obesity: a global challenge. Best Pract Res Clin Anaesthesiol 25:1-9. Suárez-Ortegón MF, Ramírez-Vélez R, Mosquera M, Méndez F, Aguilar-de Plata C (2013) Prevalence of metabolic syndrome in urban Colombian adolescents aged 10-16 years using three different pediatric definitions. J Trop Pediatr 59:145-159. Tanner JM, Whitehouse RH (1976) Clinical longitudinal standards for height, weight, height velocity, weight velocity, and stages of puberty. Arch Dis Child 51(3):170-179. Ventura EE, Davis JN, Alexander KE, Shaibi GQ, Lee W, Byrd-Williams CE, Toledo- Corral CM, Lane CJ, Kelly LA, Weigensberg MJ, Goran MI (2008) Dietary intake and the metabolic syndrome in overweight Latino children. J Am Diet Assoc 108:1355-1359. Von Eyben FE, Mouritsen E, Holm J, Montvilas P, Dimcevski G, Suciu G, Helleberg I, Kristensen L, von Eyben R (2003) Intra-abdominal obesity and metabolic risk factors: a study of young adults. Int J Obes 27:941-949. World Health Organization Definition, diagnosis and classification of diabetes mellitus and its complications World Health Organization, Geneva, Switzerland (1999) Report No.: WHO/NCD/NCS/99.2 Zimmet P, Alberti KG, Kaufman F, Tajima N, Silink M, Arslanian S, Wong G, Bennett P, Shaw J, Caprio S; IDF Consensus Group (2007) The metabolic syndrome in children and adolescents – an IDF consensus report. Pediatr Diabetes 8:299-306.
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