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Cardiovascular diseases are the leading cause of death among Canadians. In those with diabetes, cardiovascular complications are responsible for more than 70% of deaths. While there is much interest in identifying and treating risk factors, the exact biological mechanisms, their measurement and optimal ways to prevent and manage them are poorly understood.
Physical activity and regular exercise can prevent diabetes and effectively manage risk factors, but most Canadians do not exercise enough to beneficially manage risk. Tailored exercise prescribed by a family physician has shown promise as a means to increase fitness and reduce risk, but optimal implementation practices remain unknown - especially in rural and remote communities with reduced access to healthcare. Mobile health technologies have proved to be a beneficial tool to achieve blood pressure and blood glucose control in patients with diabetes. These technologies may address the limited access to health interventions in rural and remote regions. However, the potential as a tool to support exercise-based prevention activities unknown.
Therefore, this study was undertaken to investigate the effects of a tailored exercise prescription alone or supported by mobile health technologies to improve cardiovascular risk factors in rural community-dwelling adults at risk for cardiovascular disease and type 2 diabetes.
Adults with cardiovascular risk factors were recruited from rural communities and randomized to either: 1) an intervention group receiving an exercise prescription and devices for monitoring of risk factors with a smartphone data portal equipped with a mobile health application; or 2) an active control group receiving only an exercise prescription.
It was hypothesized that the intervention group would reduce their risk to a greater extent than the active control group following 12 weeks, and that these improvements would be better maintained in the intervention group at 24 and 52 weeks compared to the active control group.
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149 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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