Relation Between a Simple Lifestyle Risk Score and Established Biological Risk Factors for Cardiovascular Disease

Valérie Lévesque1, Paul Poirier2, Jean-Pierre Després1

  • 1Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, Québec, Quebec, Canada; Department of Kinesiology, Faculty of Medicine, Université Laval, Québec, Quebec, Canada.

Insights

A simple lifestyle risk score effectively predicts cardiovascular disease (CVD) risk factors in primary care. This score, based on waist circumference, fitness, nutrition, and activity, can be used clinically.

Area of Science:

  • Preventive Medicine
  • Cardiovascular Health
  • Metabolic Syndrome

Background:

  • Cardiovascular disease (CVD) and diabetes mellitus are significant health concerns largely influenced by lifestyle.
  • Current clinical practice often overlooks the measurement and utilization of lifestyle metrics for risk assessment.

Purpose of the Study:

  • To evaluate the predictive relevance of a simple lifestyle risk score for biological cardiovascular disease (CVD) risk factors.
  • To determine if lifestyle metrics can be effectively integrated into primary care settings.

Main Methods:

  • A cohort of 3,712 individuals from a workplace health program was assessed.
  • A lifestyle risk score was calculated based on waist circumference, fitness, nutritional quality, and physical activity.
  • Biological CVD risk factors (lipids, blood pressure, glycated hemoglobin) and established risk scores (Framingham, diabetes) were measured.

Main Results:

  • Higher lifestyle risk scores correlated with increased diastolic blood pressure, triglycerides, and cholesterol-to-HDL-C ratio.
  • HDL-C levels decreased as lifestyle risk scores increased.
  • Framingham risk, diabetes risk, and hypertriglyceridemic waist phenotype prevalence rose with higher lifestyle risk scores.

Conclusions:

  • A straightforward lifestyle risk score demonstrates significant predictive power for biological CVD risk factors.
  • These findings support the integration of lifestyle metrics into routine clinical practice for CVD and diabetes prevention.

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