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

NCT03336047 | Completed DMC

• 1 other identifier: 2017/1211
• Study Type: interventional
• Target: 21
• Locations: 1 country
• Sites: 1

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

Keywords

Exercise; Actigraphy; Prevention and Control; Cardiorespiratory Fitness

Outcome Measures

Primary Outcomes (1)

• 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)

Secondary Outcomes (1)

• Body composition

  After intervention period (8 weeks)

Study Arms (2)

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)

Behavioral: 10,000 steps daily

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

Behavioral: personal activity intelligence

Interventions

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).

Also known as: PAI

using personal activity intelligence

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).

10,000 steps daily

Eligibility Criteria

• Age: 30 Years - 50 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64)

You may qualify if:

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

You may not qualify if:

• 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

Sponsors & Collaborators

• Norwegian University of Science and Technology: lead

Study Sites (1)

St. Olavs Hospital

Trondheim, Sør Trøndelag, 7030, Norway

Location

MeSH Terms

Conditions

Obesity; Motor Activity

Condition Hierarchy (Ancestors)

Overweight; Overnutrition; Nutrition Disorders; Nutritional and Metabolic Diseases; Body Weight; Signs and Symptoms; Pathological Conditions, Signs and Symptoms; Behavior

Study Officials

• Fredrik Hjulstad Bækkerud

  Norwegian University of Science and Technology

  PRINCIPAL INVESTIGATOR

• Ulrik Wisløff, phd prof

  Norwegian University of Science and Technology

  STUDY DIRECTOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: NONE
• Purpose: TREATMENT
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: November 1, 2017
• First Posted: November 8, 2017
• Study Start: November 15, 2017
• Primary Completion: February 15, 2018
• Study Completion: February 15, 2018
• Last Updated: August 4, 2020

Record last verified: 2020-08

Locations

NO (1)