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...
- Autores:
- 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)
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Repositorio EdocUR - U. Rosario |
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|
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 |
_version_ |
1814167692597264384 |
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 |