Metabolic Syndrome and Associated Factors in a Population-Based Sample of Schoolchildren in Colombia: The FUPRECOL Study

Background: In contrast to the definition of metabolic syndrome (MetS) in adults, there is no standard definition of MetS in pediatric populations. We aimed at assessing the differences in the prevalence of MetS in children and adolescents aged 9-17 years using four different operational definitions...

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Tipo de recurso:
Fecha de publicación:
2016
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/22584
Acceso en línea:
https://doi.org/10.1089/met.2016.0058
https://repository.urosario.edu.co/handle/10336/22584
Palabra clave:
C reactive protein
Cholesterol
Glucose
High density lipoprotein cholesterol
Low density lipoprotein cholesterol
Triacylglycerol
C reactive protein
High density lipoprotein cholesterol
Triacylglycerol
Abdominal obesity
Adolescent
Age
Article
Body mass
Body weight
Cardiometabolic risk
Child
Childhood obesity
Cholesterol blood level
Colombia
Colombian
Controlled study
Diagnostic test accuracy study
Diastolic blood pressure
Disease association
Female
Groups by age
Human
Hyperglycemia
Hypertension
Inflammation
Major clinical study
Male
Metabolic syndrome X
Population research
Prevalence
Priority journal
Puberty
Risk factor
School child
Sex difference
Systolic blood pressure
Waist circumference
Blood
Comorbidity
Glucose blood level
Metabolic syndrome X
Metabolism
Obesity
Pathology
Adolescent
Blood Glucose
C-Reactive Protein
Child
Colombia
Comorbidity
Female
Humans
Male
Metabolic Syndrome
Obesity
Prevalence
Risk Factors
Triglycerides
Waist Circumference
Cardiometabolic risk factors
High sensitivity C-reactive protein
Metabolic syndrome
Overweight
HDL
Cholesterol
Rights
License
Abierto (Texto Completo)
id EDOCUR2_c6ddb88e0cb055059b1b71f2ccfad2c8
oai_identifier_str oai:repository.urosario.edu.co:10336/22584
network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
dc.title.spa.fl_str_mv Metabolic Syndrome and Associated Factors in a Population-Based Sample of Schoolchildren in Colombia: The FUPRECOL Study
title Metabolic Syndrome and Associated Factors in a Population-Based Sample of Schoolchildren in Colombia: The FUPRECOL Study
spellingShingle Metabolic Syndrome and Associated Factors in a Population-Based Sample of Schoolchildren in Colombia: The FUPRECOL Study
C reactive protein
Cholesterol
Glucose
High density lipoprotein cholesterol
Low density lipoprotein cholesterol
Triacylglycerol
C reactive protein
High density lipoprotein cholesterol
Triacylglycerol
Abdominal obesity
Adolescent
Age
Article
Body mass
Body weight
Cardiometabolic risk
Child
Childhood obesity
Cholesterol blood level
Colombia
Colombian
Controlled study
Diagnostic test accuracy study
Diastolic blood pressure
Disease association
Female
Groups by age
Human
Hyperglycemia
Hypertension
Inflammation
Major clinical study
Male
Metabolic syndrome X
Population research
Prevalence
Priority journal
Puberty
Risk factor
School child
Sex difference
Systolic blood pressure
Waist circumference
Blood
Comorbidity
Glucose blood level
Metabolic syndrome X
Metabolism
Obesity
Pathology
Adolescent
Blood Glucose
C-Reactive Protein
Child
Colombia
Comorbidity
Female
Humans
Male
Metabolic Syndrome
Obesity
Prevalence
Risk Factors
Triglycerides
Waist Circumference
Cardiometabolic risk factors
High sensitivity C-reactive protein
Metabolic syndrome
Overweight
HDL
Cholesterol
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
dc.subject.keyword.spa.fl_str_mv C reactive protein
Cholesterol
Glucose
High density lipoprotein cholesterol
Low density lipoprotein cholesterol
Triacylglycerol
C reactive protein
High density lipoprotein cholesterol
Triacylglycerol
Abdominal obesity
Adolescent
Age
Article
Body mass
Body weight
Cardiometabolic risk
Child
Childhood obesity
Cholesterol blood level
Colombia
Colombian
Controlled study
Diagnostic test accuracy study
Diastolic blood pressure
Disease association
Female
Groups by age
Human
Hyperglycemia
Hypertension
Inflammation
Major clinical study
Male
Metabolic syndrome X
Population research
Prevalence
Priority journal
Puberty
Risk factor
School child
Sex difference
Systolic blood pressure
Waist circumference
Blood
Comorbidity
Glucose blood level
Metabolic syndrome X
Metabolism
Obesity
Pathology
Adolescent
Blood Glucose
C-Reactive Protein
Child
Colombia
Comorbidity
Female
Humans
Male
Metabolic Syndrome
Obesity
Prevalence
Risk Factors
Triglycerides
Waist Circumference
Cardiometabolic risk factors
High sensitivity C-reactive protein
Metabolic syndrome
Overweight
topic C reactive protein
Cholesterol
Glucose
High density lipoprotein cholesterol
Low density lipoprotein cholesterol
Triacylglycerol
C reactive protein
High density lipoprotein cholesterol
Triacylglycerol
Abdominal obesity
Adolescent
Age
Article
Body mass
Body weight
Cardiometabolic risk
Child
Childhood obesity
Cholesterol blood level
Colombia
Colombian
Controlled study
Diagnostic test accuracy study
Diastolic blood pressure
Disease association
Female
Groups by age
Human
Hyperglycemia
Hypertension
Inflammation
Major clinical study
Male
Metabolic syndrome X
Population research
Prevalence
Priority journal
Puberty
Risk factor
School child
Sex difference
Systolic blood pressure
Waist circumference
Blood
Comorbidity
Glucose blood level
Metabolic syndrome X
Metabolism
Obesity
Pathology
Adolescent
Blood Glucose
C-Reactive Protein
Child
Colombia
Comorbidity
Female
Humans
Male
Metabolic Syndrome
Obesity
Prevalence
Risk Factors
Triglycerides
Waist Circumference
Cardiometabolic risk factors
High sensitivity C-reactive protein
Metabolic syndrome
Overweight
HDL
Cholesterol
dc.subject.keyword.eng.fl_str_mv HDL
Cholesterol
description Background: In contrast to the definition of metabolic syndrome (MetS) in adults, there is no standard definition of MetS in pediatric populations. We aimed at assessing the differences in the prevalence of MetS in children and adolescents aged 9-17 years using four different operational definitions for these age groups and at examining the associated variables. Methods: A total of 675 children and 1247 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. In addition, we further examined the associations between each definition of MetS in the total sample and individual risk factors using binary logistic regression models adjusted for gender, age, pubertal stage, weight status, and inflammation in all participants. Results: The prevalence of MetS was 0.3%, 6.3%, 7.8%, and 11.0% according to the definitions by IDF, Cook et al., Ford et al., and de Ferranti et al., respectively. The most prevalent components were low high-density lipoprotein cholesterol and high triglyceride levels, whereas the least prevalent components were higher waist circumference and hyperglycemia. Overall, the prevalence of MetS was higher in obese than in non-obese schoolchildren. Conclusions: 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. © Copyright 2016, Mary Ann Liebert, Inc..
publishDate 2016
dc.date.created.spa.fl_str_mv 2016
dc.date.accessioned.none.fl_str_mv 2020-05-25T23:57:01Z
dc.date.available.none.fl_str_mv 2020-05-25T23:57:01Z
dc.type.eng.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1089/met.2016.0058
dc.identifier.issn.none.fl_str_mv 15404196
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/22584
url https://doi.org/10.1089/met.2016.0058
https://repository.urosario.edu.co/handle/10336/22584
identifier_str_mv 15404196
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationEndPage.none.fl_str_mv 462
dc.relation.citationIssue.none.fl_str_mv No. 9
dc.relation.citationStartPage.none.fl_str_mv 455
dc.relation.citationTitle.none.fl_str_mv Metabolic Syndrome and Related Disorders
dc.relation.citationVolume.none.fl_str_mv Vol. 14
dc.relation.ispartof.spa.fl_str_mv Metabolic Syndrome and Related Disorders, ISSN:15404196, Vol.14, No.9 (2016); pp. 455-462
dc.relation.uri.spa.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-84993929837&doi=10.1089%2fmet.2016.0058&partnerID=40&md5=6515be008d7708ba0f945a9eff413195
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.acceso.spa.fl_str_mv Abierto (Texto Completo)
rights_invalid_str_mv Abierto (Texto Completo)
http://purl.org/coar/access_right/c_abf2
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Mary Ann Liebert Inc.
institution Universidad del Rosario
dc.source.instname.spa.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.spa.fl_str_mv reponame:Repositorio Institucional EdocUR
repository.name.fl_str_mv Repositorio institucional EdocUR
repository.mail.fl_str_mv edocur@urosario.edu.co
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spelling 945181836007913910360060d1942c-c0ff-4fe8-aa1d-adc91afe6b0bc10f86cf-747f-4056-857a-e9febbeb1e358e421a7c-8757-404c-9e4f-7bcbb41b7efd1022382805600d3345282-28c2-482c-b7ee-2fe57a93b16b75b6b2fa-230d-4c46-b327-97ca28a5215ad636440a-0ec1-48a2-95ec-c6a0fea7f42a2020-05-25T23:57:01Z2020-05-25T23:57:01Z2016Background: In contrast to the definition of metabolic syndrome (MetS) in adults, there is no standard definition of MetS in pediatric populations. We aimed at assessing the differences in the prevalence of MetS in children and adolescents aged 9-17 years using four different operational definitions for these age groups and at examining the associated variables. Methods: A total of 675 children and 1247 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. In addition, we further examined the associations between each definition of MetS in the total sample and individual risk factors using binary logistic regression models adjusted for gender, age, pubertal stage, weight status, and inflammation in all participants. Results: The prevalence of MetS was 0.3%, 6.3%, 7.8%, and 11.0% according to the definitions by IDF, Cook et al., Ford et al., and de Ferranti et al., respectively. The most prevalent components were low high-density lipoprotein cholesterol and high triglyceride levels, whereas the least prevalent components were higher waist circumference and hyperglycemia. Overall, the prevalence of MetS was higher in obese than in non-obese schoolchildren. Conclusions: 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. © Copyright 2016, Mary Ann Liebert, Inc..application/pdfhttps://doi.org/10.1089/met.2016.005815404196https://repository.urosario.edu.co/handle/10336/22584engMary Ann Liebert Inc.462No. 9455Metabolic Syndrome and Related DisordersVol. 14Metabolic Syndrome and Related Disorders, ISSN:15404196, Vol.14, No.9 (2016); pp. 455-462https://www.scopus.com/inward/record.uri?eid=2-s2.0-84993929837&doi=10.1089%2fmet.2016.0058&partnerID=40&md5=6515be008d7708ba0f945a9eff413195Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURC reactive proteinCholesterolGlucoseHigh density lipoprotein cholesterolLow density lipoprotein cholesterolTriacylglycerolC reactive proteinHigh density lipoprotein cholesterolTriacylglycerolAbdominal obesityAdolescentAgeArticleBody massBody weightCardiometabolic riskChildChildhood obesityCholesterol blood levelColombiaColombianControlled studyDiagnostic test accuracy studyDiastolic blood pressureDisease associationFemaleGroups by ageHumanHyperglycemiaHypertensionInflammationMajor clinical studyMaleMetabolic syndrome XPopulation researchPrevalencePriority journalPubertyRisk factorSchool childSex differenceSystolic blood pressureWaist circumferenceBloodComorbidityGlucose blood levelMetabolic syndrome XMetabolismObesityPathologyAdolescentBlood GlucoseC-Reactive ProteinChildColombiaComorbidityFemaleHumansMaleMetabolic SyndromeObesityPrevalenceRisk FactorsTriglyceridesWaist CircumferenceCardiometabolic risk factorsHigh sensitivity C-reactive proteinMetabolic syndromeOverweightHDLCholesterolMetabolic Syndrome and Associated Factors in a Population-Based Sample of Schoolchildren in Colombia: The FUPRECOL StudyarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Ramírez-Vélez, RobinsonCorrea Bautista, Jorge EnriqueAnzola, AlejandroMartinez-Torres, JavierVivas, AndresTordecilla Sanders, María AlejandraPrieto-Benavides, DanielIzquierdo, MikelGarcia-Hermoso, Antonio10336/22584oai:repository.urosario.edu.co:10336/225842022-05-02 07:37:17.446564https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co