Fitness cardiorrespiratorio se asocia a una mejora en marcadores metabólicos en adultos chilenos

• Carlos Cristi-Montero ^[1] ; Rodrigo Ramírez-Campillo ^[2] ; Cristian Alvarez ^[8] ; Alex Garrido Méndez ^[3] ; María Adela Martínez ^[4] ; Ximena Díaz Martínez ^[9] ; Ana María Leiva ^[4] ; Carlos Salas ^[5] ; Manuel Gutiérrez ^[5] ; Ruth Sanzana-Inzunza ^[10] ; Eliana Durán ^[5] ; Ana María Labraña ^[5] ; Nicolás Aguilar-Farías ^[6] ; Carlos Celis-Morales ^[7]
  1. [1] Pontificia Universidad Católica de Valparaíso

     Pontificia Universidad Católica de Valparaíso

     Valparaíso, Chile

     
  2. [2] Universidad de Los Lagos

     Universidad de Los Lagos

     Osorno, Chile

     
  3. [3] Universidad San Sebastián

     Universidad San Sebastián

     Comuna de Concepción, Chile

     
  4. [4] Universidad Austral de Chile

     Universidad Austral de Chile

     Valdivia, Chile

     
  5. [5] Universidad de Concepción

     Universidad de Concepción

     Comuna de Concepción, Chile

     
  6. [6] Universidad de La Frontera

     Universidad de La Frontera

     Temuco, Chile

     
  7. [7] University of Glasgow

     University of Glasgow

     Reino Unido

     
  8. [8] Centro de Salud Familiar Tomás Rojas
  9. [9] Universidad del Biobío
  10. [10] INACAP Departamento de Trabajo Social

  Mostrar afiliaciones +
• Localización: Revista Médica de Chile, ISSN-e 0034-9887, Vol. 144, Nº. 8, 2016, págs. 980-989
• Idioma: español
• Títulos paralelos:
  • Inverse association of cardiorespiratory fitness with cardiovascular risk factors in Chilean adults
• Enlaces
  • Texto completo
• Resumen

  • Background: A high level of cardiorespiratory fitness (CRF) is an important protector against cardiovascular and metabolic diseases. Aim: To explore the association of CRF with several metabolic markers and estimate the variation of these parameters by an increase of 1 MET change in CRF. Material and Methods: Cross-sectional study of 447 adults (56% women) without medical history of cardiometabolic diseases. Physical activity evaluated using accelerometry, body mass index (BMI), blood pressure, blood glucose and insulin and lipid profile were measured. HOMA-IR was calculated with fasting glucose and insulin levels. The submaximal Chester Step Test was used to measure CRF. Results: CRF was significantly associated with the level and intensity of physical activity, and all metabolic markers (p-trend < 0.05), except with diastolic blood pressure. It was estimated that 1-MET increase in CRF is associated with waist circumference (β -0.32 cm), fat mass (β -0.22%), insulin (β -0.67 pmol.l-1), HOMA-IR (β -0.17) and HDL cholesterol (β +1.46 mg.dl-1). All these associations were independent of main covariates such as age, sex, education, smoking and body mass index. Conclusions: A higher level of CRF is inversely associated with several metabolic markers that are risk factors for cardiovascular disease.