Baseline data collection will include age, sex, smoking status, past medical history including cardiovascular risk factors and disease, height, weight, waist circumference, BP, A1c, fasting lipid profile, resting heart rate, and Bruce protocol treadmill time. Follow-up data collection (at 8 weeks) will include updated medical events, weight, waist circumference, BP, A1c, fasting lipids, resting heart rate, follow-up treadmill time, self-reported total number of exercise sessions and hours exercised. Continuous variables will be summarized as means ± standard deviations (SD) and dichotomous variables as counts and proportions. Continuous outcomes will be compared between study arms using logistic regression adjusting for age, sex and unbalanced baseline characteristics (including for the primary endpoint). Linear regression will be used for dichotomous outcomes and Poisson regression for counts.