E-health Interventions to Promote Physical Activity Among Inactive Adults
NCT ID: NCT04526444
Last Updated: 2023-05-11
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
183 participants
INTERVENTIONAL
2021-04-08
2023-03-31
Brief Summary
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A Hybrid Type I effectiveness-implementation randomised controlled trial (RCT) will investigate the effects of 1) fitness trackers, 2) home-based online training, and 3) peer support via social media among inactive adults. The design will allow testing the study outcomes while gathering information on implementation in a real-world situation. The study will produce evidence on whether these interventions increase the levels of PA among inactive adults and improve health outcomes. Increased PA will also result in better primary prevention of lifestyle diseases.
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
PREVENTION
NONE
Study Groups
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Ftiness tracker
Participants in the group A will be provided the fitness tracker Mi Smart Band 5 with the computational algorithm PAI.
Fitness tracker
Fitness tracker Mi Smart Band 5 with the computational algorithm PAI
Home training platform and fitness tracker
Participants in group B will be provided with both the fitness tracker Mi Smart Band 5 with the computational algorithm PAI and access to Les Mills On Demand to perform training classes from home.
Fitness tracker
Fitness tracker Mi Smart Band 5 with the computational algorithm PAI
Online training
Les Mills On Demand
Peer support, home training platform and fitness tracker and
Participants in group C will be offered the fitness tracker Mi Smart Band 5 with the computational algorithm PAI, Les Mills On Demand and additional peer support via social media.
Fitness tracker
Fitness tracker Mi Smart Band 5 with the computational algorithm PAI
Online training
Les Mills On Demand
Peer support via social media
Facebook group
Interventions
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Fitness tracker
Fitness tracker Mi Smart Band 5 with the computational algorithm PAI
Online training
Les Mills On Demand
Peer support via social media
Facebook group
Eligibility Criteria
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Inclusion Criteria
* inactive (undertaking less than 150 min of moderate-intensity PA per week) in the last 3 months;
* living in the Troms and Finnmark county;
* current owner of a smartphone;
* able to understand training instructions in English language.
Exclusion Criteria
* presence of conditions which might prevent from safely exercise;
* lack of Internet connection at home;
* lack of space to exercise safely at home (recommended 4 sqm).
18 Years
55 Years
ALL
Yes
Sponsors
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UiT The Arctic University of Norway
OTHER
SINTEF Health Research
OTHER
PAI Health Norway AS
UNKNOWN
St. Olavs Hospital
OTHER
Norwegian University of Science and Technology
OTHER
Frisklivssentralen
UNKNOWN
Laval University
OTHER
Les Mills International
UNKNOWN
University Hospital of North Norway
OTHER
Responsible Party
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Paolo Zanaboni
Senior researcher
Locations
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Norwegian Centre for E-health Research
Tromsø, , Norway
Countries
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References
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Sagelv EH, Manskow US, Antypas K, Morseth B, Aamot Aksetoy IL, Nes BM, Gagnon MP, Zanaboni P. Online interventions to increase physical activity levels in self-reported inactive adults: the ONWARDS randomised controlled trial. BMJ Open Sport Exerc Med. 2025 Jun 16;11(2):e001816. doi: 10.1136/bmjsem-2023-001816. eCollection 2025.
Manskow US, Sagelv EH, Antypas K, Zanaboni P. Adoption, acceptability and sustained use of digital interventions to promote physical activity among inactive adults: a mixed-method study. Front Public Health. 2024 Jan 4;11:1297844. doi: 10.3389/fpubh.2023.1297844. eCollection 2023.
Zanaboni P, Manskow US, Sagelv EH, Morseth B, Edvardsen AE, Aamot IL, Nes BM, Hastings B, Gagnon MP, Antypas K. Digital interventions to promote physical activity among inactive adults: A study protocol for a hybrid type I effectiveness-implementation randomized controlled trial. Front Public Health. 2022 Oct 21;10:925484. doi: 10.3389/fpubh.2022.925484. eCollection 2022.
Other Identifiers
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66573
Identifier Type: -
Identifier Source: org_study_id
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