title: [Inverse association of cardiorespiratory fitness with cardiovascular risk factors in Chilean adults].
abstract: BACKGROUND
  A high level of cardiorespiratory fitness (CRF) is an important protector against cardiovascular and metabolic diseases.
  
  
  OBJECTIVE
  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.
  
  
  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.
authors.forename: Carlos
authors.initials: C
authors.lastname: Cristi-Montero
authors.forename: Rodrigo
authors.initials: R
authors.lastname: Ramírez-Campillo
authors.forename: Cristian
authors.initials: C
authors.lastname: Alvarez
authors.forename: Alex
authors.initials: A
authors.lastname: Garrido Méndez
authors.forename: María Adela
authors.initials: MA
authors.lastname: Martínez
authors.forename: Ximena
authors.initials: X
authors.lastname: Díaz Martínez
authors.forename: Ana María
authors.initials: AM
authors.lastname: Leiva
authors.forename: Carlos
authors.initials: C
authors.lastname: Salas
authors.forename: Manuel
authors.initials: M
authors.lastname: Gutiérrez
authors.forename: Ruth
authors.initials: R
authors.lastname: Sanzana-Inzunza
authors.forename: Eliana
authors.initials: E
authors.lastname: Durán
authors.forename: Ana María
authors.initials: AM
authors.lastname: Labraña
authors.forename: Nicolás
authors.initials: N
authors.lastname: Aguilar-Farías
authors.forename: Carlos
authors.initials: C
authors.lastname: Celis-Morales
mesh_terms: D000328:Adult; D000886:Anthropometry; D015415:Biomarkers / Q000378:metabolism; D001786:Blood Glucose / Q000378:metabolism; D000072599:Cardiorespiratory Fitness / Q000502:physiology*; D002318:Cardiovascular Diseases / Q000209:etiology* / Q000517:prevention & control; D002677:Chile; D003430:Cross-Sectional Studies; D015444:Exercise / Q000502:physiology*; D005260:Female; D006801:Humans; D008055:Lipids / Q000097:blood; D008297:Male; D008659:Metabolic Diseases / Q000209:etiology* / Q000517:prevention & control; D008875:Middle Aged; D005082:Physical Exertion; D012307:Risk Factors; D055815:Young Adult
chemical_list: D015415:Biomarkers; D001786:Blood Glucose; D008055:Lipids