Gateway Rural Health Research Institute
Seaforth, Ontario, N0K 1W0, Canada
NCT Number: NCT01944124
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.
Looking for future studies?
Notify Me18 year–70 year
All sexes
Interventional
Not applicable
Seaforth, Ontario, N0K 1W0, Canada
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Participants monitored their blood pressure 3x per week, blood glucose 1x per week, pedometer steps daily and body weight monthly. Measures from devices were transferred or inputted to a smartphone data portal. Planned exercise was logged electronically on the smartphone.
An exercise program was prescribed tailored to participant fitness level (using the Step Test Exercise Prescription (STEP-TM) protocol). Briefly, STEP-TM required participants to step up and down a set of 2 steps 20 times at a comfortable pace. A predictive equation including post-test heart rate, time to complete test, age, body weight and sex was used to calculate fitness. An exercise program was prescribed including aerobic exercise most days of the week for 30-60 minutes in duration at a target heart rate tailored to fitness level. Light resistance training was also prescribed 2-4 times per week.
Time frame: 12 weeks
London Health Sciences Centre Research Institute OR Lawson Research Institute of St. Joseph's
Other
A Lifestyle Intervention Supported by Mobile Health Technologies to Improve the Cardiometabolic Risk Profile of Individuals at Risk for Cardiovascular Disease and Type 2 Diabetes.
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT02298725
Body Weight, Glucose Metabolism Disorders
Davis, California, United States
View Trial DetailsNCT03309761
Glucose Metabolism Disorders, Hyperinsulinism
Nîmes, France
View Trial DetailsNCT06907108
Dyssomnias, Glucose Metabolism Disorders
Rio de Janeiro, Brazil
View Trial DetailsNCT06877130
Cardiovascular Problems in Elderly, Glucose Metabolism Disorders
Giza, Giza Governorate, Egypt
View Trial Details