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This study will determine how different at-home exercise strategies influence 24hr glycemic control in women with metabolic dysfunction.
Elevations in blood glucose concentration increase risk for cardiometabolic diseases including type 2 diabetes and cardiovascular diseases. Exercise can improve glycemic control, but there is limited research comparing the effectiveness of different exercise strategies in women. The aim of this study is to examine, under free-living conditions, how performing either walking and bodyweight interval exercise after dinner influences glycemic control in women with or at risk for type 2 diabetes. Glycemic control will be measured with continuous glucose monitors.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Bodyweight interval exercise | Experimental | Performing 15 minutes of bodyweight interval exercise after dinner |
|
| Walking | Experimental | Performing a 30 minute walk after dinner |
|
| Non exercise control | No Intervention | Performing no exercise after dinner |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Bodyweight interval exercise | Behavioral | Performing 15 minutes of bodyweight interval exercise after dinner at home by following a video |
|
| Measure | Description | Time Frame |
|---|---|---|
| 24hr Glucose area under the curve | Glucose area under the curve over 24hr | 24 hours |
| Measure | Description | Time Frame |
|---|---|---|
| 24hr Average glucose concentration | Average glucose concentration over 24 hr | 24 hours |
| Postprandial dinner glucose response | Measured as the 2hr postprandial glucose incremental area under the curve (iAUC), average glucose and peak glucose |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Jenna Gillen, PhD | University of Toronto | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Toronto | Toronto | Ontario | M5S1A1 | Canada |
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| ID | Term |
|---|---|
| D009043 | Motor Activity |
| ID | Term |
|---|---|
| D001519 | Behavior |
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| ID | Term |
|---|---|
| D016138 | Walking |
| ID | Term |
|---|---|
| D008124 | Locomotion |
| D009068 | Movement |
| D009142 | Musculoskeletal Physiological Phenomena |
| D055687 | Musculoskeletal and Neural Physiological Phenomena |
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| Walking | Behavioral | Performing a 30 minute minute walk after dinner at home |
|
| 2 hours |
| Postprandial breakfast glucose response | Measured as the 2hr postprandial iAUC, average glucose and peak glucose | 2 hours |
| Postprandial lunch glucose response | Measured as the 2hr postprandial glucose iAUC, average glucose and peak glucose | 2 hours |
| Nocturnal glucose | Measured as the overnight glucose average and AUC | ~6-8 hours |
| Time in hyperglycemia | Time (minutes and percent per day) above 10mmol/L over 24hr | 24 hours |
| Time in hypoglycemia | Time (minutes and percent per day) under 3.9mmol/L over 24 hr | 24 hours |
| Time in range | Time (minutes and percent per day) above 3.9 but under 10mmol/L | 24 hours |
| Continuous overall net glycemic action (CONGA) | Calculated measure of glycemic variability | 24 hours |
| Change in glucose during exercise | Post vs. pre glucose concentration around exercise | 15-30 minutes |
| Mean amplitude glycemic excursion (MAGE) | Calculated measure of glycemic variability | 24 hours |
| Standard deviation (SD) | Calculated measure of glycemic variability | 24 hours |
| % coefficient of variation (CV) | Calculated measure of glycemic variability | 24 hours |
| D015444 | Exercise |
| D009043 | Motor Activity |