Feasibility, Acceptability and Effectiveness of a Machine Learning Based Physical Activity Chatbot

Not Applicable

Completed

• Conditions: Physical inactivity; Public Health - Health promotion/education

• Registration Number: ACTRN12621000345886
• Lead Sponsor: Central Queensland University

Brief Summary

Not available

Detailed Description

Not available

Study Timeline

• Results First Posted: 1900-01-01
• Study Completion: 2020-12-15
• Study Start: 2021-03-26
• Last Update Posted: 12 April 2021

Recruitment & Eligibility

• Status: Completed
• Sex: All
• Target Recruitment: 120

Inclusion Criteria

Be inactive (less than 20 minutes/day of moderate to vigorous physical activity), live in Australia, have internet access and a smartphone, be at least 18 years old, motivated to improve physical activity, not already participating in another physical activity program, not already owning and used a physical activity tracking device (e.g., pedometer, Fitbit, Garmin), and able to safely increase their activity levels.

Exclusion Criteria

Those with health conditions preventing them from increasing physical activity.

Study & Design

• Study Type: Interventional
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Step counts were measured by Fitbit Flex 1. [Baseline and week 6 post-intervention commencement];Self-reported physical activity using the Active Australia Survey[Baseline and week 6 post-intervention commencement]

Secondary Outcome Measures

Name	Time	Method
Self-reported BMI[Baseline and week 6 post-intervention commencement]