Association of muscular fitness and body fatness with cardiometabolic risk factors: The FUPRECOL study
This study investigated the associations of muscular fitness and various indicators of body fatness with cardio-metabolic risk factors and determined the muscular strength and body fatness thresholds for detecting a high risk of cardio-metabolic dysfunction in young adults. A cross-sectional study w...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2018
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/22692
- Acceso en línea:
- https://doi.org/10.3390/nu10111742
https://repository.urosario.edu.co/handle/10336/22692
- Palabra clave:
- Cholesterol
Glucose
High density lipoprotein cholesterol
Low density lipoprotein cholesterol
Triacylglycerol
Lipid
Adult
Article
Body fat
Body mass
Cardiometabolic risk
Cholesterol blood level
Cross-sectional study
Diastolic blood pressure
Female
Grip strength
Human
Hypertension
Male
Muscle strength
Physical activity
Predictive value
Prevalence
Questionnaire
Risk factor
Sensitivity and specificity
Systolic blood pressure
Waist circumference
Waist to height ratio
Adipose tissue
Blood
Blood pressure
Body composition
Cardiovascular disease
Fitness
Glucose blood level
Hand strength
Metabolic disorder
Metabolism
Odds ratio
Physiology
Skeletal muscle
Statistical model
Young adult
Adipose tissue
Adult
Blood glucose
Blood pressure
Body composition
Body mass index
Cardiovascular diseases
Cross-sectional studies
Female
Hand strength
Humans
Lipids
Logistic models
Metabolic diseases
Muscle strength
Odds ratio
Physical fitness
Risk factors
Waist circumference
Young adult
Body fatness
Cardio-metabolic risk
Fat mass index
Muscular fitness
Young adults
skeletal
Muscle
- Rights
- License
- Abierto (Texto Completo)
id |
EDOCUR2_a0bc54d36d5ea977eca101e58dfcacbd |
---|---|
oai_identifier_str |
oai:repository.urosario.edu.co:10336/22692 |
network_acronym_str |
EDOCUR2 |
network_name_str |
Repositorio EdocUR - U. Rosario |
repository_id_str |
|
dc.title.spa.fl_str_mv |
Association of muscular fitness and body fatness with cardiometabolic risk factors: The FUPRECOL study |
title |
Association of muscular fitness and body fatness with cardiometabolic risk factors: The FUPRECOL study |
spellingShingle |
Association of muscular fitness and body fatness with cardiometabolic risk factors: The FUPRECOL study Cholesterol Glucose High density lipoprotein cholesterol Low density lipoprotein cholesterol Triacylglycerol Lipid Adult Article Body fat Body mass Cardiometabolic risk Cholesterol blood level Cross-sectional study Diastolic blood pressure Female Grip strength Human Hypertension Male Muscle strength Physical activity Predictive value Prevalence Questionnaire Risk factor Sensitivity and specificity Systolic blood pressure Waist circumference Waist to height ratio Adipose tissue Blood Blood pressure Body composition Cardiovascular disease Fitness Glucose blood level Hand strength Metabolic disorder Metabolism Odds ratio Physiology Skeletal muscle Statistical model Young adult Adipose tissue Adult Blood glucose Blood pressure Body composition Body mass index Cardiovascular diseases Cross-sectional studies Female Hand strength Humans Lipids Logistic models Metabolic diseases Muscle strength Odds ratio Physical fitness Risk factors Waist circumference Young adult Body fatness Cardio-metabolic risk Fat mass index Muscular fitness Young adults skeletal Muscle |
title_short |
Association of muscular fitness and body fatness with cardiometabolic risk factors: The FUPRECOL study |
title_full |
Association of muscular fitness and body fatness with cardiometabolic risk factors: The FUPRECOL study |
title_fullStr |
Association of muscular fitness and body fatness with cardiometabolic risk factors: The FUPRECOL study |
title_full_unstemmed |
Association of muscular fitness and body fatness with cardiometabolic risk factors: The FUPRECOL study |
title_sort |
Association of muscular fitness and body fatness with cardiometabolic risk factors: The FUPRECOL study |
dc.subject.keyword.spa.fl_str_mv |
Cholesterol Glucose High density lipoprotein cholesterol Low density lipoprotein cholesterol Triacylglycerol Lipid Adult Article Body fat Body mass Cardiometabolic risk Cholesterol blood level Cross-sectional study Diastolic blood pressure Female Grip strength Human Hypertension Male Muscle strength Physical activity Predictive value Prevalence Questionnaire Risk factor Sensitivity and specificity Systolic blood pressure Waist circumference Waist to height ratio Adipose tissue Blood Blood pressure Body composition Cardiovascular disease Fitness Glucose blood level Hand strength Metabolic disorder Metabolism Odds ratio Physiology Skeletal muscle Statistical model Young adult Adipose tissue Adult Blood glucose Blood pressure Body composition Body mass index Cardiovascular diseases Cross-sectional studies Female Hand strength Humans Lipids Logistic models Metabolic diseases Muscle strength Odds ratio Physical fitness Risk factors Waist circumference Young adult Body fatness Cardio-metabolic risk Fat mass index Muscular fitness Young adults |
topic |
Cholesterol Glucose High density lipoprotein cholesterol Low density lipoprotein cholesterol Triacylglycerol Lipid Adult Article Body fat Body mass Cardiometabolic risk Cholesterol blood level Cross-sectional study Diastolic blood pressure Female Grip strength Human Hypertension Male Muscle strength Physical activity Predictive value Prevalence Questionnaire Risk factor Sensitivity and specificity Systolic blood pressure Waist circumference Waist to height ratio Adipose tissue Blood Blood pressure Body composition Cardiovascular disease Fitness Glucose blood level Hand strength Metabolic disorder Metabolism Odds ratio Physiology Skeletal muscle Statistical model Young adult Adipose tissue Adult Blood glucose Blood pressure Body composition Body mass index Cardiovascular diseases Cross-sectional studies Female Hand strength Humans Lipids Logistic models Metabolic diseases Muscle strength Odds ratio Physical fitness Risk factors Waist circumference Young adult Body fatness Cardio-metabolic risk Fat mass index Muscular fitness Young adults skeletal Muscle |
dc.subject.keyword.eng.fl_str_mv |
skeletal Muscle |
description |
This study investigated the associations of muscular fitness and various indicators of body fatness with cardio-metabolic risk factors and determined the muscular strength and body fatness thresholds for detecting a high risk of cardio-metabolic dysfunction in young adults. A cross-sectional study was conducted on 1798 collegiate students (61.5% females, mean age 20.5 years). Muscular fitness was determined by using a handgrip strength test and normalized grip strength (NGS = handgrip (kg)/body mass (kg)). Body mass index (BMI), waist circumference (WC), percentage of fat mass (BF%), fat-mass index (FMI), and waist-to-height ratio (WHR) were also included as body fatness measurements. A high cardio-metabolic risk cluster was derived by assessing triglycerides, low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, fasting glucose, and blood pressure. Logistic regression models showed that men and women with lower NGS had an increased cardio-metabolic risk odds ratio (OR) = 1.8, 95% confidence interval (CI) 1.1 to 2.9, p = 0.006, and OR = 1.6, 95% CI 1.0 to 2.5, p = 0.036, respectively). In both sexes, higher levels of all fatness parameters were also associated with increased cardio-metabolic risk (p less than 0.001). In both men and women, high FMI had the highest OR for clustered risk (OR = 4.7, 95% CI 2.6 to 8.4, and OR = 7.3, 95% CI 3.4 to 9.7, p less than 0.001, respectively). Combined analysis showed that unfitness (lower NGS) and high fat had the highest OR for WC and FMI in men and women, respectively (OR = 5.5, 95% CI 2.6 to 11.4, OR = 7.7, 95% CI 2.3 to 15.8, p less than 0.01). Muscular strength and body fatness are independently and jointly associated with increased cardiometabolic risk in young adults, which suggests that both are predictor variables for this. © 2018 by the authors. Licensee MDPI, Basel, Switzerland. |
publishDate |
2018 |
dc.date.created.spa.fl_str_mv |
2018 |
dc.date.accessioned.none.fl_str_mv |
2020-05-25T23:57:32Z |
dc.date.available.none.fl_str_mv |
2020-05-25T23:57:32Z |
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/10.3390/nu10111742 |
dc.identifier.issn.none.fl_str_mv |
20726643 |
dc.identifier.uri.none.fl_str_mv |
https://repository.urosario.edu.co/handle/10336/22692 |
url |
https://doi.org/10.3390/nu10111742 https://repository.urosario.edu.co/handle/10336/22692 |
identifier_str_mv |
20726643 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.citationIssue.none.fl_str_mv |
No. 11 |
dc.relation.citationTitle.none.fl_str_mv |
Nutrients |
dc.relation.citationVolume.none.fl_str_mv |
Vol. 10 |
dc.relation.ispartof.spa.fl_str_mv |
Nutrients, ISSN:20726643, Vol.10, No.11 (2018) |
dc.relation.uri.spa.fl_str_mv |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056550115&doi=10.3390%2fnu10111742&partnerID=40&md5=64f886d3a5b23650f88f8091a0b87932 |
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 |
MDPI AG |
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 |
bitstream.url.fl_str_mv |
https://repository.urosario.edu.co/bitstreams/63d862e3-6df7-4cde-bd99-92d88f7caaca/download https://repository.urosario.edu.co/bitstreams/d93fea23-9841-4940-913e-85be52a2b25e/download https://repository.urosario.edu.co/bitstreams/d7437288-2aa7-4384-9469-c382c809d91d/download |
bitstream.checksum.fl_str_mv |
e8b33d3cb24c758bddcbff9762e51b22 f7b41fbe7c36f946186862ba51d45c24 0c06efcc84662a1ac680fcce53559041 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositorio institucional EdocUR |
repository.mail.fl_str_mv |
edocur@urosario.edu.co |
_version_ |
1814167549398482944 |
spelling |
dbd9999a-6089-43fc-b4f8-36c2efe7b5b1-194518183-1f9e337dc-60da-4c62-bbc6-fef3baadb2dc-1ca7ec47d-f525-4260-aec5-06905ce99b81-1ee338bfd-73b1-4c4a-a6e0-6504fd4784fb-13363be8d-2f78-4248-92c0-6c52a07433a4-1b526c855-7b91-4113-bc39-e1129b1788d8-1b3c37ea2-bb71-4010-a7b6-4f366c598d21-1791391036002020-05-25T23:57:32Z2020-05-25T23:57:32Z2018This study investigated the associations of muscular fitness and various indicators of body fatness with cardio-metabolic risk factors and determined the muscular strength and body fatness thresholds for detecting a high risk of cardio-metabolic dysfunction in young adults. A cross-sectional study was conducted on 1798 collegiate students (61.5% females, mean age 20.5 years). Muscular fitness was determined by using a handgrip strength test and normalized grip strength (NGS = handgrip (kg)/body mass (kg)). Body mass index (BMI), waist circumference (WC), percentage of fat mass (BF%), fat-mass index (FMI), and waist-to-height ratio (WHR) were also included as body fatness measurements. A high cardio-metabolic risk cluster was derived by assessing triglycerides, low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, fasting glucose, and blood pressure. Logistic regression models showed that men and women with lower NGS had an increased cardio-metabolic risk odds ratio (OR) = 1.8, 95% confidence interval (CI) 1.1 to 2.9, p = 0.006, and OR = 1.6, 95% CI 1.0 to 2.5, p = 0.036, respectively). In both sexes, higher levels of all fatness parameters were also associated with increased cardio-metabolic risk (p less than 0.001). In both men and women, high FMI had the highest OR for clustered risk (OR = 4.7, 95% CI 2.6 to 8.4, and OR = 7.3, 95% CI 3.4 to 9.7, p less than 0.001, respectively). Combined analysis showed that unfitness (lower NGS) and high fat had the highest OR for WC and FMI in men and women, respectively (OR = 5.5, 95% CI 2.6 to 11.4, OR = 7.7, 95% CI 2.3 to 15.8, p less than 0.01). Muscular strength and body fatness are independently and jointly associated with increased cardiometabolic risk in young adults, which suggests that both are predictor variables for this. © 2018 by the authors. Licensee MDPI, Basel, Switzerland.application/pdfhttps://doi.org/10.3390/nu1011174220726643https://repository.urosario.edu.co/handle/10336/22692engMDPI AGNo. 11NutrientsVol. 10Nutrients, ISSN:20726643, Vol.10, No.11 (2018)https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056550115&doi=10.3390%2fnu10111742&partnerID=40&md5=64f886d3a5b23650f88f8091a0b87932Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURCholesterolGlucoseHigh density lipoprotein cholesterolLow density lipoprotein cholesterolTriacylglycerolLipidAdultArticleBody fatBody massCardiometabolic riskCholesterol blood levelCross-sectional studyDiastolic blood pressureFemaleGrip strengthHumanHypertensionMaleMuscle strengthPhysical activityPredictive valuePrevalenceQuestionnaireRisk factorSensitivity and specificitySystolic blood pressureWaist circumferenceWaist to height ratioAdipose tissueBloodBlood pressureBody compositionCardiovascular diseaseFitnessGlucose blood levelHand strengthMetabolic disorderMetabolismOdds ratioPhysiologySkeletal muscleStatistical modelYoung adultAdipose tissueAdultBlood glucoseBlood pressureBody compositionBody mass indexCardiovascular diseasesCross-sectional studiesFemaleHand strengthHumansLipidsLogistic modelsMetabolic diseasesMuscle strengthOdds ratioPhysical fitnessRisk factorsWaist circumferenceYoung adultBody fatnessCardio-metabolic riskFat mass indexMuscular fitnessYoung adultsskeletalMuscleAssociation of muscular fitness and body fatness with cardiometabolic risk factors: The FUPRECOL studyarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Correa-Rodríguez, MaríaRamírez-Vélez, Robinsondel Pilar Castellanos-Vega, RocíoArias-Coronel, FlorencioGonzález-Ruíz, KatherineCarrillo, Hugo AlejandroSchmidt-RioValle, JacquelineGonzález-Jiménez, EmilioCorrea Bautista, Jorge EnriqueORIGINALnutrients-10-01742.pdfapplication/pdf289256https://repository.urosario.edu.co/bitstreams/63d862e3-6df7-4cde-bd99-92d88f7caaca/downloade8b33d3cb24c758bddcbff9762e51b22MD51TEXTnutrients-10-01742.pdf.txtnutrients-10-01742.pdf.txtExtracted texttext/plain49339https://repository.urosario.edu.co/bitstreams/d93fea23-9841-4940-913e-85be52a2b25e/downloadf7b41fbe7c36f946186862ba51d45c24MD52THUMBNAILnutrients-10-01742.pdf.jpgnutrients-10-01742.pdf.jpgGenerated Thumbnailimage/jpeg5044https://repository.urosario.edu.co/bitstreams/d7437288-2aa7-4384-9469-c382c809d91d/download0c06efcc84662a1ac680fcce53559041MD5310336/22692oai:repository.urosario.edu.co:10336/226922022-05-02 07:37:20.615939https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co |