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

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

Interventions

BEHAVIORAL

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).

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).

Sponsors & Collaborators

• Norwegian University of Science and Technology

  lead OTHER

Principal Investigators

• Fredrik Hjulstad Bækkerud · Norwegian University of Science and Technology

• Ulrik Wisløff, phd prof · Norwegian University of Science and Technology

Study Design

Allocation

RANDOMIZED

Purpose

TREATMENT

Masking

NONE

Model

PARALLEL

Eligibility

Min Age

30 Years

Max Age

50 Years

Sex

ALL

Healthy Volunteers

No

Timeline & Regulatory

Start

2017-11-15

Primary Completion

2018-02-15

Completion

2018-02-15

Countries

• Norway

Study Locations