Physical inactivity and cardiac events: An analysis of the Detection of Ischemia in Asymptomatic Diabetics (DIAD) study

AIMS Diabetes affects 29 million adults, and the majority have type 2 diabetes (T2D). Coronary artery disease (CAD) is the leading cause of death, and physical inactivity is an important risk factor. The aims of this study were to examine the contribution of physical inactivity to CAD events, and to identify the independent predictors of CAD events in a sample of older adults with T2D. METHOD A secondary data analysis of the prospective randomized screening trial "Detection of Ischemia in Asymptomatic Diabetics (DIAD)" study. Cox proportional hazard modeling was used to examine the outcome of CAD events. RESULTS During the five years of follow-up, the CAD event rate for all subjects (n = 1119) was 8.4% (n = 94). In unadjusted analysis, physical inactivity was significantly associated with development of a CAD event. In the final model, nine baseline variables were significant predictors (p < 0.05) of a CAD: physical inactivity, race, diabetes duration, hemoglobin A1c (HbA1c), peripheral numbness, insulin use, increasing waist-to-hip ratio, family history of premature CAD, and a higher pulse pressure. In men only, there were five predictors (p < 0.05) of a CAD event: diabetes duration, peripheral numbness, HbA1c, increasing waist-to-hip ratio, and higher pulse pressure. The final model in women included three independent predictors (p < 0.05) of a CAD event: diabetes duration, a family history of premature CAD, and higher pulse pressure. CONCLUSION Several variables predicted CAD events in this sample of older adults with T2D. Understanding baseline characteristics that heighten risk may assist providers in intervening early to prevent its occurrence.