The Dyn@mo lifestyle intervention (CHU Sainte-Justine, Quebec, Canada) targets children and adolescents aged 6 to 17 years old with cardiometabolic risk factors, such as obesity, hypertension, disorders in glucose regulation or dyslipidemia. Its primary goal is to promote physical activity and reduce sedentary time to improve childrens' cardiometabolic profile. To do so, the intervention relies on gathering data on mobility and physical activity using wearable sensors. These data provide a detailed picture of real-life conditions and physical activity levels, improving the health care professional's ability to tailor counseling. The investigators are presently in the implementation phase of this intervention.
children ages 6 to 18 years of age with a BMI > 95th percentile for age and sex
children with a physical or psychological condition that would impair their ability to participate in physical activity
Parallel
Sensor based PA intervention
BehavioralChildren will be equipped with a heart rate monitor, a GPS receiver and an accelerometer for collection of heart rate, mobility and physical activity free-living data during a 7-day period. This will provide a 'spatio-behavioural diagnosis' using a map-based interactive web application. This data will be used to developed a tailored plan to promote physical activity in the child's every day environment.
Traditional PA counseling
BehavioralChildren will be encouraged to enhance their physical activity levels using traditional behavioral approaches.
Change in physical activity levels
Physical activity will be measured using accelerometry and we will use time spent in moderate to vigorous physical activity as our primary measure of PA
Change in blood pressure
Both systolic and diastolic blood pressure will be measured
Change in glucose homeostasis
Both fasting blood glucose, and glucose 2hr post load (oral glucose tolerance test) will be measured
Change in lipid status
LDL, HDL, triglycerides and total cholesterol will be measured at baseline and after 1 year of follow-up
Change in body mass index
We will measure height and weight at baseline and at 1 year of follow-up and calculate differences in body mass index over the 1 year period
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