Fatness mediates the influence of muscular fitness on metabolic syndrome in Colombian collegiate students

Antonio García-Hermoso, Hugo Alejandro Carrillo, Katherine González-Ruóz, Andrés Vivas, Héctor Reynaldo Triana-Reina, Javier Martoínez-Torres, Daniel Humberto Prieto-Benavidez, Jorge Enrique Correa-Bautista, Jeison Alexander Ramos-Sepúlveda, Emilio Villa-González, Mark D. Peterson, Robinson Ramírez-Vélez

Resultado de la investigación: Contribución a RevistaArtículo

10 Citas (Scopus)

Resumen

The purpose of this study was two-fold: to analyze the association between muscular fitness (MF) and clustering of metabolic syndrome (MetS) components, and to determine if fatness parameters mediate the association between MF and MetS clustering in Colombian collegiate students. This cross-sectional study included a total of 886 (51.9% women) healthy collegiate students (21.4 ± 3.3 years old). Standing broad jump and isometric handgrip dynamometry were used as indicators of lower and upper body MF, respectively. Also, a MF score was computed by summing the standardized values of both tests, and used to classify adults as fit or unfit. We also assessed fat mass, body mass index, waist-to-height ratio, and abdominal visceral fat, and categorized individuals as low and high fat using international cut-offs. A MetS cluster score was derived by calculating the sum of the sample-specific zscores from the triglycerides, HDL cholesterol, fasting glucose, waist circumference, and arterial blood pressure. Linear regression models were used to examine whether the association between MF and MetS cluster was mediated by the fatness parameters. Data were collected from 2013 to 2016 and the analysis was done in 2016. Findings revealed that the best profiles (fit + low fat) were associated with lower levels of the MetS clustering (p 0.001 in the four fatness parameters), compared with unfit and fat (unfit + high fat) counterparts. Linear regression models indicated a partial mediating effect for fatness parameters in the association of MF with MetS clustering. Our findings indicate that efforts to improve MF in young adults may decrease MetS risk partially through an indirect effect on improvements to adiposity levels. Thus, weight reduction should be taken into account as a complementary goal to improvements in MF within exercise programs.

Idioma originalEnglish (US)
Páginas (desde-hasta)e0173932
Número de páginas1
PublicaciónPLoS One
Volumen12
N.º3
DOI
EstadoPublished - mar 1 2017
Publicado de forma externa

Huella dactilar

metabolic syndrome
students
Fats
Students
Cluster Analysis
Linear Models
lipids
Linear regression
Association reactions
Blood pressure
visceral fat
Intra-Abdominal Fat
waist circumference
Adiposity
Waist Circumference
adiposity
HDL Cholesterol
young adults
high density lipoprotein cholesterol
cross-sectional studies

All Science Journal Classification (ASJC) codes

  • Medicine(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

Citar esto

García-Hermoso, A., Carrillo, H. A., González-Ruóz, K., Vivas, A., Triana-Reina, H. R., Martoínez-Torres, J., ... Ramírez-Vélez, R. (2017). Fatness mediates the influence of muscular fitness on metabolic syndrome in Colombian collegiate students. PLoS One, 12(3), e0173932. https://doi.org/10.1371/journal.pone.0173932
García-Hermoso, Antonio ; Carrillo, Hugo Alejandro ; González-Ruóz, Katherine ; Vivas, Andrés ; Triana-Reina, Héctor Reynaldo ; Martoínez-Torres, Javier ; Prieto-Benavidez, Daniel Humberto ; Correa-Bautista, Jorge Enrique ; Ramos-Sepúlveda, Jeison Alexander ; Villa-González, Emilio ; Peterson, Mark D. ; Ramírez-Vélez, Robinson. / Fatness mediates the influence of muscular fitness on metabolic syndrome in Colombian collegiate students. En: PLoS One. 2017 ; Vol. 12, N.º 3. pp. e0173932.
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abstract = "The purpose of this study was two-fold: to analyze the association between muscular fitness (MF) and clustering of metabolic syndrome (MetS) components, and to determine if fatness parameters mediate the association between MF and MetS clustering in Colombian collegiate students. This cross-sectional study included a total of 886 (51.9{\%} women) healthy collegiate students (21.4 ± 3.3 years old). Standing broad jump and isometric handgrip dynamometry were used as indicators of lower and upper body MF, respectively. Also, a MF score was computed by summing the standardized values of both tests, and used to classify adults as fit or unfit. We also assessed fat mass, body mass index, waist-to-height ratio, and abdominal visceral fat, and categorized individuals as low and high fat using international cut-offs. A MetS cluster score was derived by calculating the sum of the sample-specific zscores from the triglycerides, HDL cholesterol, fasting glucose, waist circumference, and arterial blood pressure. Linear regression models were used to examine whether the association between MF and MetS cluster was mediated by the fatness parameters. Data were collected from 2013 to 2016 and the analysis was done in 2016. Findings revealed that the best profiles (fit + low fat) were associated with lower levels of the MetS clustering (p 0.001 in the four fatness parameters), compared with unfit and fat (unfit + high fat) counterparts. Linear regression models indicated a partial mediating effect for fatness parameters in the association of MF with MetS clustering. Our findings indicate that efforts to improve MF in young adults may decrease MetS risk partially through an indirect effect on improvements to adiposity levels. Thus, weight reduction should be taken into account as a complementary goal to improvements in MF within exercise programs.",
author = "Antonio Garc{\'i}a-Hermoso and Carrillo, {Hugo Alejandro} and Katherine Gonz{\'a}lez-Ru{\'o}z and Andr{\'e}s Vivas and Triana-Reina, {H{\'e}ctor Reynaldo} and Javier Marto{\'i}nez-Torres and Prieto-Benavidez, {Daniel Humberto} and Correa-Bautista, {Jorge Enrique} and Ramos-Sep{\'u}lveda, {Jeison Alexander} and Emilio Villa-Gonz{\'a}lez and Peterson, {Mark D.} and Robinson Ram{\'i}rez-V{\'e}lez",
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García-Hermoso, A, Carrillo, HA, González-Ruóz, K, Vivas, A, Triana-Reina, HR, Martoínez-Torres, J, Prieto-Benavidez, DH, Correa-Bautista, JE, Ramos-Sepúlveda, JA, Villa-González, E, Peterson, MD & Ramírez-Vélez, R 2017, 'Fatness mediates the influence of muscular fitness on metabolic syndrome in Colombian collegiate students', PLoS One, vol. 12, n.º 3, pp. e0173932. https://doi.org/10.1371/journal.pone.0173932

Fatness mediates the influence of muscular fitness on metabolic syndrome in Colombian collegiate students. / García-Hermoso, Antonio; Carrillo, Hugo Alejandro; González-Ruóz, Katherine; Vivas, Andrés; Triana-Reina, Héctor Reynaldo; Martoínez-Torres, Javier; Prieto-Benavidez, Daniel Humberto; Correa-Bautista, Jorge Enrique; Ramos-Sepúlveda, Jeison Alexander; Villa-González, Emilio; Peterson, Mark D.; Ramírez-Vélez, Robinson.

En: PLoS One, Vol. 12, N.º 3, 01.03.2017, p. e0173932.

Resultado de la investigación: Contribución a RevistaArtículo

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T1 - Fatness mediates the influence of muscular fitness on metabolic syndrome in Colombian collegiate students

AU - García-Hermoso, Antonio

AU - Carrillo, Hugo Alejandro

AU - González-Ruóz, Katherine

AU - Vivas, Andrés

AU - Triana-Reina, Héctor Reynaldo

AU - Martoínez-Torres, Javier

AU - Prieto-Benavidez, Daniel Humberto

AU - Correa-Bautista, Jorge Enrique

AU - Ramos-Sepúlveda, Jeison Alexander

AU - Villa-González, Emilio

AU - Peterson, Mark D.

AU - Ramírez-Vélez, Robinson

PY - 2017/3/1

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N2 - The purpose of this study was two-fold: to analyze the association between muscular fitness (MF) and clustering of metabolic syndrome (MetS) components, and to determine if fatness parameters mediate the association between MF and MetS clustering in Colombian collegiate students. This cross-sectional study included a total of 886 (51.9% women) healthy collegiate students (21.4 ± 3.3 years old). Standing broad jump and isometric handgrip dynamometry were used as indicators of lower and upper body MF, respectively. Also, a MF score was computed by summing the standardized values of both tests, and used to classify adults as fit or unfit. We also assessed fat mass, body mass index, waist-to-height ratio, and abdominal visceral fat, and categorized individuals as low and high fat using international cut-offs. A MetS cluster score was derived by calculating the sum of the sample-specific zscores from the triglycerides, HDL cholesterol, fasting glucose, waist circumference, and arterial blood pressure. Linear regression models were used to examine whether the association between MF and MetS cluster was mediated by the fatness parameters. Data were collected from 2013 to 2016 and the analysis was done in 2016. Findings revealed that the best profiles (fit + low fat) were associated with lower levels of the MetS clustering (p 0.001 in the four fatness parameters), compared with unfit and fat (unfit + high fat) counterparts. Linear regression models indicated a partial mediating effect for fatness parameters in the association of MF with MetS clustering. Our findings indicate that efforts to improve MF in young adults may decrease MetS risk partially through an indirect effect on improvements to adiposity levels. Thus, weight reduction should be taken into account as a complementary goal to improvements in MF within exercise programs.

AB - The purpose of this study was two-fold: to analyze the association between muscular fitness (MF) and clustering of metabolic syndrome (MetS) components, and to determine if fatness parameters mediate the association between MF and MetS clustering in Colombian collegiate students. This cross-sectional study included a total of 886 (51.9% women) healthy collegiate students (21.4 ± 3.3 years old). Standing broad jump and isometric handgrip dynamometry were used as indicators of lower and upper body MF, respectively. Also, a MF score was computed by summing the standardized values of both tests, and used to classify adults as fit or unfit. We also assessed fat mass, body mass index, waist-to-height ratio, and abdominal visceral fat, and categorized individuals as low and high fat using international cut-offs. A MetS cluster score was derived by calculating the sum of the sample-specific zscores from the triglycerides, HDL cholesterol, fasting glucose, waist circumference, and arterial blood pressure. Linear regression models were used to examine whether the association between MF and MetS cluster was mediated by the fatness parameters. Data were collected from 2013 to 2016 and the analysis was done in 2016. Findings revealed that the best profiles (fit + low fat) were associated with lower levels of the MetS clustering (p 0.001 in the four fatness parameters), compared with unfit and fat (unfit + high fat) counterparts. Linear regression models indicated a partial mediating effect for fatness parameters in the association of MF with MetS clustering. Our findings indicate that efforts to improve MF in young adults may decrease MetS risk partially through an indirect effect on improvements to adiposity levels. Thus, weight reduction should be taken into account as a complementary goal to improvements in MF within exercise programs.

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García-Hermoso A, Carrillo HA, González-Ruóz K, Vivas A, Triana-Reina HR, Martoínez-Torres J y otros. Fatness mediates the influence of muscular fitness on metabolic syndrome in Colombian collegiate students. PLoS One. 2017 mar 1;12(3):e0173932. https://doi.org/10.1371/journal.pone.0173932