Percentage of body fat and fat mass index as a screening tool for metabolic syndrome prediction in Colombian university students

High body fat is related to metabolic syndrome (MetS) in all ethnic groups. Based on the International Diabetes Federation (IDF) definition of MetS, the aim of this study was to explore thresholds of body fat percentage (BF%) and fat mass index (FMI) for the prediction of MetS among Colombian Univer...

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Tipo de recurso:
Fecha de publicación:
2017
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/22697
Acceso en línea:
https://doi.org/10.3390/nu9091009
https://repository.urosario.edu.co/handle/10336/22697
Palabra clave:
High density lipoprotein cholesterol
Low density lipoprotein cholesterol
Cholesterol
Triacylglycerol
Abdominal obesity
Adult
Alcohol consumption
Arm circumference
Article
Blood sampling
Body fat
Body mass
Cholesterol blood level
Colombia
Colorimetry
Cross-sectional study
Diastolic blood pressure
Fat mass
Female
Glucose blood level
Human
Hypertriglyceridemia
Major clinical study
Male
Mean arterial pressure
Metabolic syndrome x
Prevalence
Risk factor
Systolic blood pressure
Triacylglycerol blood level
University student
Waist circumference
Adolescent
Blood
Blood pressure
Body composition
Body mass
Lifestyle
Metabolic syndrome x
Obesity
Questionnaire
Student
Young adult
Adiposity
Adolescent
Blood pressure
Body composition
Body mass index
Cholesterol
Cross-sectional studies
Female
Humans
Life style
Male
Metabolic syndrome
Prevalence
Risk factors
Students
Surveys and questionnaires
Triglycerides
Waist circumference
Young adult
Adiposity
Fat mass
Metabolic syndrome
Obesity
Rights
License
Abierto (Texto Completo)
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repository_id_str
dc.title.spa.fl_str_mv Percentage of body fat and fat mass index as a screening tool for metabolic syndrome prediction in Colombian university students
title Percentage of body fat and fat mass index as a screening tool for metabolic syndrome prediction in Colombian university students
spellingShingle Percentage of body fat and fat mass index as a screening tool for metabolic syndrome prediction in Colombian university students
High density lipoprotein cholesterol
Low density lipoprotein cholesterol
Cholesterol
Triacylglycerol
Abdominal obesity
Adult
Alcohol consumption
Arm circumference
Article
Blood sampling
Body fat
Body mass
Cholesterol blood level
Colombia
Colorimetry
Cross-sectional study
Diastolic blood pressure
Fat mass
Female
Glucose blood level
Human
Hypertriglyceridemia
Major clinical study
Male
Mean arterial pressure
Metabolic syndrome x
Prevalence
Risk factor
Systolic blood pressure
Triacylglycerol blood level
University student
Waist circumference
Adolescent
Blood
Blood pressure
Body composition
Body mass
Lifestyle
Metabolic syndrome x
Obesity
Questionnaire
Student
Young adult
Adiposity
Adolescent
Blood pressure
Body composition
Body mass index
Cholesterol
Cross-sectional studies
Female
Humans
Life style
Male
Metabolic syndrome
Prevalence
Risk factors
Students
Surveys and questionnaires
Triglycerides
Waist circumference
Young adult
Adiposity
Fat mass
Metabolic syndrome
Obesity
title_short Percentage of body fat and fat mass index as a screening tool for metabolic syndrome prediction in Colombian university students
title_full Percentage of body fat and fat mass index as a screening tool for metabolic syndrome prediction in Colombian university students
title_fullStr Percentage of body fat and fat mass index as a screening tool for metabolic syndrome prediction in Colombian university students
title_full_unstemmed Percentage of body fat and fat mass index as a screening tool for metabolic syndrome prediction in Colombian university students
title_sort Percentage of body fat and fat mass index as a screening tool for metabolic syndrome prediction in Colombian university students
dc.subject.keyword.spa.fl_str_mv High density lipoprotein cholesterol
Low density lipoprotein cholesterol
Cholesterol
Triacylglycerol
Abdominal obesity
Adult
Alcohol consumption
Arm circumference
Article
Blood sampling
Body fat
Body mass
Cholesterol blood level
Colombia
Colorimetry
Cross-sectional study
Diastolic blood pressure
Fat mass
Female
Glucose blood level
Human
Hypertriglyceridemia
Major clinical study
Male
Mean arterial pressure
Metabolic syndrome x
Prevalence
Risk factor
Systolic blood pressure
Triacylglycerol blood level
University student
Waist circumference
Adolescent
Blood
Blood pressure
Body composition
Body mass
Lifestyle
Metabolic syndrome x
Obesity
Questionnaire
Student
Young adult
Adiposity
Adolescent
Blood pressure
Body composition
Body mass index
Cholesterol
Cross-sectional studies
Female
Humans
Life style
Male
Metabolic syndrome
Prevalence
Risk factors
Students
Surveys and questionnaires
Triglycerides
Waist circumference
Young adult
Adiposity
Fat mass
Metabolic syndrome
Obesity
topic High density lipoprotein cholesterol
Low density lipoprotein cholesterol
Cholesterol
Triacylglycerol
Abdominal obesity
Adult
Alcohol consumption
Arm circumference
Article
Blood sampling
Body fat
Body mass
Cholesterol blood level
Colombia
Colorimetry
Cross-sectional study
Diastolic blood pressure
Fat mass
Female
Glucose blood level
Human
Hypertriglyceridemia
Major clinical study
Male
Mean arterial pressure
Metabolic syndrome x
Prevalence
Risk factor
Systolic blood pressure
Triacylglycerol blood level
University student
Waist circumference
Adolescent
Blood
Blood pressure
Body composition
Body mass
Lifestyle
Metabolic syndrome x
Obesity
Questionnaire
Student
Young adult
Adiposity
Adolescent
Blood pressure
Body composition
Body mass index
Cholesterol
Cross-sectional studies
Female
Humans
Life style
Male
Metabolic syndrome
Prevalence
Risk factors
Students
Surveys and questionnaires
Triglycerides
Waist circumference
Young adult
Adiposity
Fat mass
Metabolic syndrome
Obesity
description High body fat is related to metabolic syndrome (MetS) in all ethnic groups. Based on the International Diabetes Federation (IDF) definition of MetS, the aim of this study was to explore thresholds of body fat percentage (BF%) and fat mass index (FMI) for the prediction of MetS among Colombian University students. A cross-sectional study was conducted on 1687 volunteers (63.4% women, mean age = 20.6 years). Weight, waist circumference, serum lipids indices, blood pressure, and fasting plasma glucose were measured. Body composition was measured by bioelectrical impedance analysis (BIA) and FMI was calculated. MetS was defined as including more than or equal to three of the metabolic abnormalities according to the IDF definition. Receiver operating curve (ROC) analysis was used to determine optimal cut-off points for BF% and FMI in relation to the area under the curve (AUC), sensitivity, and specificity in both sexes. The overall prevalence of MetS was found to be 7.7%, higher in men than women (11.1% vs. 5.3%; p and lt; 0.001). BF% and FMI were positively correlated to MetS components (p and lt; 0.05). ROC analysis indicated that BF% and FMI can be used with moderate accuracy to identify MetS in university-aged students. BF% and FMI thresholds of 25.55% and 6.97 kg/m2 in men, and 38.95% and 11.86 kg/m2 in women, were found to be indicative of high MetS risk. Based on the IDF criteria, both indexes’ thresholds seem to be good tools to identify university students with unfavorable metabolic profiles. © 2017 by the authors. Licensee MDPI, Basel, Switzerland.
publishDate 2017
dc.date.created.spa.fl_str_mv 2017
dc.date.accessioned.none.fl_str_mv 2020-05-25T23:57:34Z
dc.date.available.none.fl_str_mv 2020-05-25T23:57:34Z
dc.type.eng.fl_str_mv article
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dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv https://doi.org/10.3390/nu9091009
dc.identifier.issn.none.fl_str_mv 20726643
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/22697
url https://doi.org/10.3390/nu9091009
https://repository.urosario.edu.co/handle/10336/22697
identifier_str_mv 20726643
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationIssue.none.fl_str_mv No. 9
dc.relation.citationTitle.none.fl_str_mv Nutrients
dc.relation.citationVolume.none.fl_str_mv Vol. 9
dc.relation.ispartof.spa.fl_str_mv Nutrients, ISSN:20726643, Vol.9, No.9 (2017)
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institution Universidad del Rosario
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dc.source.reponame.spa.fl_str_mv reponame:Repositorio Institucional EdocUR
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spelling 94518183600791391036001022382805600c2702994-6a87-4688-9b4b-23ceec68783a-1602cefb3-22ef-4057-a8a2-eefac48d2cf9-1a5be8e0f-38e6-4c37-86a2-1be8910d77bc-1d1123b4d-11e1-4338-99f1-023fe485bb27-1b3c37ea2-bb71-4010-a7b6-4f366c598d21-1b526c855-7b91-4113-bc39-e1129b1788d8-1ee338bfd-73b1-4c4a-a6e0-6504fd4784fb-12020-05-25T23:57:34Z2020-05-25T23:57:34Z2017High body fat is related to metabolic syndrome (MetS) in all ethnic groups. Based on the International Diabetes Federation (IDF) definition of MetS, the aim of this study was to explore thresholds of body fat percentage (BF%) and fat mass index (FMI) for the prediction of MetS among Colombian University students. A cross-sectional study was conducted on 1687 volunteers (63.4% women, mean age = 20.6 years). Weight, waist circumference, serum lipids indices, blood pressure, and fasting plasma glucose were measured. Body composition was measured by bioelectrical impedance analysis (BIA) and FMI was calculated. MetS was defined as including more than or equal to three of the metabolic abnormalities according to the IDF definition. Receiver operating curve (ROC) analysis was used to determine optimal cut-off points for BF% and FMI in relation to the area under the curve (AUC), sensitivity, and specificity in both sexes. The overall prevalence of MetS was found to be 7.7%, higher in men than women (11.1% vs. 5.3%; p and lt; 0.001). BF% and FMI were positively correlated to MetS components (p and lt; 0.05). ROC analysis indicated that BF% and FMI can be used with moderate accuracy to identify MetS in university-aged students. BF% and FMI thresholds of 25.55% and 6.97 kg/m2 in men, and 38.95% and 11.86 kg/m2 in women, were found to be indicative of high MetS risk. Based on the IDF criteria, both indexes’ thresholds seem to be good tools to identify university students with unfavorable metabolic profiles. © 2017 by the authors. Licensee MDPI, Basel, Switzerland.application/pdfhttps://doi.org/10.3390/nu909100920726643https://repository.urosario.edu.co/handle/10336/22697engMDPI AGNo. 9NutrientsVol. 9Nutrients, ISSN:20726643, Vol.9, No.9 (2017)https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029455872&doi=10.3390%2fnu9091009&partnerID=40&md5=ad61ad483c8e6e3df77aa2b178352cfaAbierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURHigh density lipoprotein cholesterolLow density lipoprotein cholesterolCholesterolTriacylglycerolAbdominal obesityAdultAlcohol consumptionArm circumferenceArticleBlood samplingBody fatBody massCholesterol blood levelColombiaColorimetryCross-sectional studyDiastolic blood pressureFat massFemaleGlucose blood levelHumanHypertriglyceridemiaMajor clinical studyMaleMean arterial pressureMetabolic syndrome xPrevalenceRisk factorSystolic blood pressureTriacylglycerol blood levelUniversity studentWaist circumferenceAdolescentBloodBlood pressureBody compositionBody massLifestyleMetabolic syndrome xObesityQuestionnaireStudentYoung adultAdiposityAdolescentBlood pressureBody compositionBody mass indexCholesterolCross-sectional studiesFemaleHumansLife styleMaleMetabolic syndromePrevalenceRisk factorsStudentsSurveys and questionnairesTriglyceridesWaist circumferenceYoung adultAdiposityFat massMetabolic syndromeObesityPercentage of body fat and fat mass index as a screening tool for metabolic syndrome prediction in Colombian university studentsarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Ramírez-Vélez, RobinsonCorrea Bautista, Jorge EnriqueTordecilla Sanders, María AlejandraOjeda-Pardo, Mónica LilianaCobo-Mejía, Elisa AndreaCastellanos-Vega, Rocío Del PilarGarcía-Hermoso, AntonioGonzález-Jiménez, EmilioSchmidt-RioValle, JacquelineGonzález-Ruíz, KatherineORIGINALnutrients-09-01009.pdfapplication/pdf643775https://repository.urosario.edu.co/bitstreams/94cd80ac-02b9-46d2-af17-e2e593af98e1/downloadaa897044fd5b00e781a3e25eac25cfa5MD51TEXTnutrients-09-01009.pdf.txtnutrients-09-01009.pdf.txtExtracted texttext/plain56418https://repository.urosario.edu.co/bitstreams/a6b97f16-5a01-4296-9361-076c305a3fba/download56bc9323be0fe793366ba4507b6a12d8MD52THUMBNAILnutrients-09-01009.pdf.jpgnutrients-09-01009.pdf.jpgGenerated Thumbnailimage/jpeg4901https://repository.urosario.edu.co/bitstreams/da9ea1d0-0c50-48bb-9c2f-d059b31562d2/downloada2d771dfc29abdfba1c2f48c237e7a18MD5310336/22697oai:repository.urosario.edu.co:10336/226972022-05-02 07:37:20.569202https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co