2.50
Hdl Handle:
http://hdl.handle.net/2436/104791
Title:
Longitudinal preventive-screening cutoffs for metabolic syndrome in adolescents.
Authors:
Flouris, Andreas D.; Bouziotas, Constantin; Christodoulos, A. D.; Koutedakis, Yiannis
Abstract:
OBJECTIVE: To detect metabolic risk factor cutoff points in adolescence for the diagnosis of metabolic syndrome that develops at the age of 17 years (MS17). DESIGN: This study adopted a 6-year design incorporating four data collection time points (TPs). Volunteers were assessed prospectively at the ages of 12, 13, 14 and 17. PARTICIPANTS: A total of 210, 204, 198 and 187 schoolchildren volunteered at the first (TP(1)=12 years old), second (TP2=13 years old), third (TP3=14 years old) and fourth (TP4=17 years old) data collection TP, respectively. MEASUREMENTS: At each data collection TP, anthropometrical, biological and lifestyle data were obtained. Identical protocols were used for each assessment conducted by the same trained investigators. RESULTS: A total of 12% of the participants were diagnosed with MS17, the majority of them being boys (P<0.05). The prevalence of the syndrome increased directly with the degree of obesity. Using body mass index (BMI), adiposity and/or aerobic fitness levels in both genders, MS17 could be correctly diagnosed as early as TP1. No such cutoff points were found for high-density lipoprotein cholesterol, triglycerides, blood pressure and fasting plasma glucose levels. CONCLUSION: With respect to the data presented, it has been established that the calculated longitudinal preventive-screening cutoffs allow successful diagnosis of metabolic syndrome in adolescents using BMI, adiposity or aerobic fitness levels in both sexes. Adoption of such pediatric guidelines may help mitigate future increase in the prevalence of metabolic syndrome.
Citation:
International journal of obesity, 32(10): 1506-12
Publisher:
Macmillan
Journal:
International journal of obesity
Issue Date:
Oct-2008
URI:
http://hdl.handle.net/2436/104802; http://hdl.handle.net/2436/104791
DOI:
10.1038/ijo.2008.142
PubMed ID:
18698315
Additional Links:
http://web.ebscohost.com/ehost/pdfviewer/pdfviewer?vid=4&hid=109&sid=f33b99a0-3c98-470e-991a-d2d07e9fcd20%40sessionmgr113
Type:
Article
Language:
en
ISSN:
1476-5497
Appears in Collections:
Exercise and Health; Exercise and Health

Full metadata record

DC FieldValue Language
dc.contributor.authorFlouris, Andreas D.en
dc.contributor.authorBouziotas, Constantinen
dc.contributor.authorChristodoulos, A. D.en
dc.contributor.authorKoutedakis, Yiannisen
dc.date.accessioned2010-06-14T13:09:31Z-
dc.date.accessioned2010-06-14T13:09:34Z-
dc.date.available2010-06-14T13:09:31Z-
dc.date.available2010-06-14T13:09:34Z-
dc.date.issued2008-10-
dc.identifier.citationInternational journal of obesity, 32(10): 1506-12en
dc.identifier.issn1476-5497-
dc.identifier.pmid18698315-
dc.identifier.doi10.1038/ijo.2008.142-
dc.identifier.urihttp://hdl.handle.net/2436/104802-
dc.identifier.urihttp://hdl.handle.net/2436/104791-
dc.description.abstractOBJECTIVE: To detect metabolic risk factor cutoff points in adolescence for the diagnosis of metabolic syndrome that develops at the age of 17 years (MS17). DESIGN: This study adopted a 6-year design incorporating four data collection time points (TPs). Volunteers were assessed prospectively at the ages of 12, 13, 14 and 17. PARTICIPANTS: A total of 210, 204, 198 and 187 schoolchildren volunteered at the first (TP(1)=12 years old), second (TP2=13 years old), third (TP3=14 years old) and fourth (TP4=17 years old) data collection TP, respectively. MEASUREMENTS: At each data collection TP, anthropometrical, biological and lifestyle data were obtained. Identical protocols were used for each assessment conducted by the same trained investigators. RESULTS: A total of 12% of the participants were diagnosed with MS17, the majority of them being boys (P<0.05). The prevalence of the syndrome increased directly with the degree of obesity. Using body mass index (BMI), adiposity and/or aerobic fitness levels in both genders, MS17 could be correctly diagnosed as early as TP1. No such cutoff points were found for high-density lipoprotein cholesterol, triglycerides, blood pressure and fasting plasma glucose levels. CONCLUSION: With respect to the data presented, it has been established that the calculated longitudinal preventive-screening cutoffs allow successful diagnosis of metabolic syndrome in adolescents using BMI, adiposity or aerobic fitness levels in both sexes. Adoption of such pediatric guidelines may help mitigate future increase in the prevalence of metabolic syndrome.en
dc.language.isoenen
dc.publisherMacmillanen
dc.relation.urlhttp://web.ebscohost.com/ehost/pdfviewer/pdfviewer?vid=4&hid=109&sid=f33b99a0-3c98-470e-991a-d2d07e9fcd20%40sessionmgr113en
dc.subjectAdiposityen
dc.subjectAerobic fitnessen
dc.subjectPreventionen
dc.subjectAdolescenceen
dc.subjectROC curveen
dc.subjectScreeningen
dc.subject.meshAdiposityen
dc.subject.meshAdolescenten
dc.subject.meshBlood Pressureen
dc.subject.meshBody Mass Indexen
dc.subject.meshChilden
dc.subject.meshEnergy Intakeen
dc.subject.meshExerciseen
dc.subject.meshFemaleen
dc.subject.meshHumansen
dc.subject.meshLipoproteinsen
dc.subject.meshMaleen
dc.subject.meshMetabolic Syndrome Xen
dc.subject.meshObesityen
dc.subject.meshPhysical Fitnessen
dc.subject.meshRisk Factorsen
dc.subject.meshSexual Maturationen
dc.titleLongitudinal preventive-screening cutoffs for metabolic syndrome in adolescents.en
dc.typeArticleen
dc.identifier.journalInternational journal of obesityen

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