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A high physical fitness can prevent cardiovascular disease. Which form of exercise training is efficient at improving fitness is well known. The challenge is to get people to do it. Personal activity intelligence (PAI) is an algorithm developed for this challenge. It gives a score that tells the users whether they are active enough to achieve the maximum health benefit of exercise based on their heart rate. It has been shown that people who obtain 100 PAI a week have less cardiovascular disease, but intervention studies showing that PAI can improve physical fitness are so far lacking.
Step counters have received a lot of attention and 10 000 steps a day is a common recommendation, but little is known about the physiological adaptations to this intervention.
This study will compare the effect of physical activity with a value of 100 PAI points a week with 10 000 steps a day in healthy, but overweight (body mass index > 25) participants between 30 and 50 years of age.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 10,000 steps daily | Active Comparator | Subjects will be encouraged to obtain 10 000 steps a day, monitored by a step counter (fit bit zip) |
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| using personal activity intelligence | Experimental | Subjects will be encouraged to obtain 100 PAI points per week, monitored by Mio Slice and the Mio Pai 2.0 smart phone application |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| personal activity intelligence | Behavioral | Participants randomized to the PAI intervention will receive a Mio Slice fitness bracelet and asked to install the Mio Pai 2.0 app on their smart phone. This tracks their fitness score based on the PAI algorithm where the goal is to maintain 100 PAI points a week. PAI is earned incrementally based on time spent in three different heart rate zones, low, medium and high intensity. PAI is recorded every day and added to the weekly total and the PAI earned on the same day the previous week is deleted (on Tuesday, the PAI earned the previous Tuesday will disappear). Participants will be encouraged to maintain 100 PAI during the 8 weeks intervention by telephone messages (sms). |
| Measure | Description | Time Frame |
|---|---|---|
| Maximal oxygen uptake | The highest amount of oxygen the body can take up, achieved at maximal exercise at the end of an incremental treadmill test measured through ergospirometry. The difference between the two groups post-intervention will be used, while controlling for a pre-intervention value. | After the intervention period (8 weeks) |
| Measure | Description | Time Frame |
|---|---|---|
| Body composition | Body mass, fat mass and lean mass will be measured using a bio impedance analysis which weighs the participants and uses bio impedance to also assess fat mass and lean mass. The difference between the two groups post-intervention will be used, while controlling for a pre-intervention value. | After intervention period (8 weeks) |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Fredrik Hjulstad Bækkerud | Norwegian University of Science and Technology | Principal Investigator |
| Ulrik Wisløff, phd prof | Norwegian University of Science and Technology | Study Director |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| St. Olavs Hospital | Trondheim | Sør Trøndelag | 7030 | Norway |
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| ID | Term |
|---|---|
| D009765 | Obesity |
| D009043 | Motor Activity |
| ID | Term |
|---|---|
| D050177 | Overweight |
| D044343 | Overnutrition |
| D009748 | Nutrition Disorders |
| D009750 | Nutritional and Metabolic Diseases |
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| 10,000 steps daily | Behavioral | Participants randomized to the 10,000 step intervention will receive a fit bit zip step counter and asked to obtain 10.000 steps per day. Participants will be encouraged to obtain 10.000 steps per day by telephone messages (sms). |
|
| D001835 |
| Body Weight |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D001519 | Behavior |