[Inverse association of cardiorespiratory fitness with cardiovascular risk factors in Chilean adults]

Rev Med Chil. 2016 Aug;144(8):980-989. doi: 10.4067/S0034-98872016000800004.
[Article in Spanish]

Abstract

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.

MeSH terms

  • Adult
  • Anthropometry
  • Biomarkers / metabolism
  • Blood Glucose / metabolism
  • Cardiorespiratory Fitness / physiology*
  • Cardiovascular Diseases / etiology*
  • Cardiovascular Diseases / prevention & control
  • Chile
  • Cross-Sectional Studies
  • Exercise / physiology*
  • Female
  • Humans
  • Lipids / blood
  • Male
  • Metabolic Diseases / etiology*
  • Metabolic Diseases / prevention & control
  • Middle Aged
  • Physical Exertion
  • Risk Factors
  • Young Adult

Substances

  • Biomarkers
  • Blood Glucose
  • Lipids