The Effect of Personal Activity Intelligence Versus 10,000 Steps Daily on Cardiorespiratory Fitness

NCT ID: NCT03336047

Last Updated: 2020-08-04

Basic Information

• Recruitment Status: COMPLETED
• Clinical Phase: NA
• Total Enrollment: 21 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2017-11-15
• Study Completion Date: 2018-02-15

Brief Summary

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.

Conditions

Obesity; Physical Activity

Study Design

• Allocation Method: RANDOMIZED
• Intervention Model: PARALLEL
• Primary Study Purpose: TREATMENT
• Blinding Strategy: NONE

Study Groups

10,000 steps daily

Subjects will be encouraged to obtain 10 000 steps a day, monitored by a step counter (fit bit zip)

Group Type: ACTIVE_COMPARATOR

10,000 steps daily

Intervention Type: 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).

using personal activity intelligence

Subjects will be encouraged to obtain 100 PAI points per week, monitored by Mio Slice and the Mio Pai 2.0 smart phone application

Group Type: EXPERIMENTAL

personal activity intelligence

Intervention Type: 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).

Interventions

personal activity intelligence

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).

Intervention Type: BEHAVIORAL

10,000 steps daily

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).

Intervention Type: BEHAVIORAL

Other Intervention Names

PAI

Eligibility Criteria

Inclusion Criteria

• Body mass index (BMI) > 25
• Low physical activity (less than 50 PAI points calculated from a questionnaire)

Exclusion Criteria

• Cancer diagnosis
• Cardiac arrhythmia
• Angina
• Previous myocardial infarction
• lung disease
• heart disease
• uncontrolled hypertension
• kidney disease
• orthopedic or neurological limitations
• planned surgery during the intervention
• participation in other research studies conflicting with the current study

• Minimum Eligible Age: 30 Years
• Maximum Eligible Age: 50 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Norwegian University of Science and Technology

OTHER

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Principal Investigators

Fredrik Hjulstad Bækkerud

Role: PRINCIPAL_INVESTIGATOR

Norwegian University of Science and Technology

Ulrik Wisløff, phd prof

Role: STUDY_DIRECTOR

Norwegian University of Science and Technology

Locations

St. Olavs Hospital

Trondheim, Sør Trøndelag, Norway

Countries

Norway

Other Identifiers

2017/1211

Identifier Type: -

Identifier Source: org_study_id