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Trial registered on ANZCTR
Registration number
ACTRN12623000027617
Ethics application status
Approved
Date submitted
21/12/2022
Date registered
11/01/2023
Date last updated
11/01/2023
Date data sharing statement initially provided
11/01/2023
Date results provided
11/01/2023
Type of registration
Retrospectively registered
Titles & IDs
Public title
TRACK & ACT: A pragmatic, one-group per-condition randomised controlled trial exploring the comparative effectiveness of pedometers and activity trackers for changing physical activity and sedentary behaviour in healthy, inactive individuals
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Scientific title
TRACK & ACT: A pragmatic, one-group per-condition randomised controlled trial exploring the comparative effectiveness of pedometers and activity trackers for changing physical activity and sedentary behaviour in healthy, inactive individuals
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Secondary ID [1]
308650
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None
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Universal Trial Number (UTN)
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Trial acronym
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Linked study record
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Health condition
Health condition(s) or problem(s) studied:
Physical inactivity
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Condition category
Condition code
Public Health
325585
325585
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0
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Health promotion/education
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Intervention/exposure
Study type
Interventional
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Description of intervention(s) / exposure
Participants are randomly allocated to one of three groups based on their workplace. Each group randomly receives either a Fitbit ONE, Jawbone UP or Digi-Walker SW200 pedometer (PED) for 8-weeks and an orientation session to their respective device. In the first week, a one-hour group-based information session is conducted by a member of the research team to orient the participants to their devices and to provide technical support for set up. A second one-hour group-based face-to-face support session is conducted in week six to troubleshoot device issues and technical barriers to use. Participants received no education or encouragement to be more active or less sedentary in these sessions and no prescriptive instructions about how to use the device over the 8 weeks, other than that they are intended for daily wear and it was expected that participants would wear the monitors continuously for 8 weeks. Adherence was measured by tracking device analytics (e.g. steps) using either online accounts (participants in Fitbit ONE and Jawbone UP groups were asked to share their login details) or daily logs (for the Pedometer group). These data were manually extracted by a member of the research team throughout the intervention.
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Intervention code [1]
325121
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Behaviour
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Comparator / control treatment
The comparison group is the pedometer group.
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Control group
Active
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Outcomes
Primary outcome [1]
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Steps per day using the Actigraph GT3X accelerometer. Participants are asked to wear the accelerometer for 7 days at each timepoint.
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Assessment method [1]
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Timepoint [1]
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Participants are asked to wear the accelerometer for one week at each timepoint. Timepoints include: baseline (pre-intervention), 4- and 8- weeks, and at 16-week follow up.
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Secondary outcome [1]
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Moderate to vigorous intensity physical activity using the Actigraph GT3X accelerometer. Participants are asked to wear the accelerometer for 7 days at each timepoint. Moderate to vigorous intensity physical activity (MVPA) will be defined according to accelerometer cutpoints, using the previously established cutpoint of >=2020 cpm.
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Assessment method [1]
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Timepoint [1]
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Participants are asked to wear the accelerometer for one week at each timepoint. Timepoints include: baseline (pre-intervention), 4- and 8- weeks, and at 16-week follow up.
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Secondary outcome [2]
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Sedentary behavior (h/day) using the Actigraph GT3X accelerometer. Participants are asked to wear the accelerometer for 7 days at each timepoint. Sedentary behaviour will be defined according to accelerometer cutpoints, using the previously established cutpoint of <100 cpm.
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Assessment method [2]
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Timepoint [2]
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Participants are asked to wear the accelerometer for one week at each timepoint. Timepoints include: baseline (pre-intervention), 4- and 8- weeks, and at 16-week follow up.
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Eligibility
Key inclusion criteria
Employed full-time in a desk-based role at one of three sites of a large metropolitan university, be aged between 18-65 years, own or have access to a smart phone, not be pregnant or planning pregnancy and doing less than 150 minutes of MVPA per week (i.e., below current PA recommendations), as measured by the Active Australia survey.
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Minimum age
18
Years
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Maximum age
65
Years
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Sex
Both males and females
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Can healthy volunteers participate?
Yes
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Key exclusion criteria
None
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Study design
Purpose of the study
Treatment
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Allocation to intervention
Randomised controlled trial
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Procedure for enrolling a subject and allocating the treatment (allocation concealment procedures)
Allocation concealment was carried out using central randomisation by a computer, by a person not involved in the study. This person then informed the study which group was allocated which device.
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Methods used to generate the sequence in which subjects will be randomised (sequence generation)
The sequence was generated by simple randomisation using a randomisation table created by Microsoft Excel, by a person not involved in the study. This person then informed the study which group was allocated which device.
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Masking / blinding
Open (masking not used)
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Who is / are masked / blinded?
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Intervention assignment
Parallel
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Other design features
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Phase
Not Applicable
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Type of endpoint/s
Efficacy
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Statistical methods / analysis
Demographic characteristics will be analysed using descriptive statistics. To evaluate intervention effects, data from all eligible participants with valid baseline accelerometry data are included and analysed on an intention-to-treat basis using last observation carried forward (LOCF) to account for missing data . Waterfall plots are used to visualise the changes in the outcomes from baseline to 16-weeks for each individual participant. Linear mixed-effect regression models, one model for each outcome measure, were performed on the change in each of the outcome measures relative to baseline (i.e., for each participant, the value at week 0 was subtracted from the values at 4, 8 and 16 weeks). A group by time interaction term estimates the fixed effect of group allocation on the rate of change in the outcome measures over time. Participants were treated as a random effect, having a random slope with respect to time. A fixed intercept of zero was specified, representing the baseline value. The slopes (regression coefficients) of the group by time interaction (i.e., the slope over time for each group) were compared using one-way ANOVA, with Satterthwaite degrees of freedom approximation. Post-hoc comparisons between each of the two activity tracker groups (ONE and UP) against the PED group were conducted using Dunnett’s test. Alpha is set at 0.05.
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Recruitment
Recruitment status
Completed
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Date of first participant enrolment
Anticipated
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Actual
5/07/2014
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Date of last participant enrolment
Anticipated
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Actual
8/08/2014
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Date of last data collection
Anticipated
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Actual
12/12/2014
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Sample size
Target
48
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Accrual to date
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Final
48
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Recruitment in Australia
Recruitment state(s)
QLD
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Funding & Sponsors
Funding source category [1]
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University
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Name [1]
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The University of Queensland (Start-Up Grant)
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Address [1]
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St Lucia, Brisbane, QLD, 4067
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Country [1]
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Australia
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Primary sponsor type
University
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Name
The University of Queensland
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Address
St Lucia, Brisbane, QLD, 4067
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Country
Australia
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Secondary sponsor category [1]
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None
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Name [1]
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Address [1]
314563
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Country [1]
314563
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
312163
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The University of Queensland
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Ethics committee address [1]
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St Lucia, Brisbane, Queensland, 4067
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Ethics committee country [1]
312163
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Australia
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Date submitted for ethics approval [1]
312163
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Approval date [1]
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03/07/2014
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Ethics approval number [1]
312163
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Summary
Brief summary
Despite the benefits of physical activity, over half of Australian adults fail to meet the minimum recommended levels. Pedometers are an effective means of increasing physical activity, allowing instant feedback about the amount of activity accumulated. Recently, a number of new generation pedometers have been released that offer a variety of additional assessment and online feature, however the added value of these features has not been investigated. The aim of this study is to compare the effectiveness of two activity trackers and a traditional pedometer in increasing physical activity and reducing sedentary behavior in healthy, inactive adults. It is hypothesised that the activity trackers will have increased comparative effectiveness for increasing physical activity and reducing sedentary behaviour, than the pedometer. The outcomes of this study provide exploratory evidence of the effectiveness and feasibility of these new devices. Improving movement behaviors in the population can significantly reduce the risk of chronic disease and in turn, relieve the associated economic burden.
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Trial website
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Trial related presentations / publications
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Public notes
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Contacts
Principal investigator
Name
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Dr Sjaan Gomersall
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Address
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The University of Queensland
St Lucia
QLD 4067
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Country
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Australia
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Phone
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+61 413412822
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Fax
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Email
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[email protected]
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Contact person for public queries
Name
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Sjaan Gomersall
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Address
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The University of Queensland
St Lucia
QLD 4067
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Country
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Australia
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Phone
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+61 413412822
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Fax
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Email
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[email protected]
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Contact person for scientific queries
Name
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Sjaan Gomersall
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Address
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The University of Queensland
St Lucia
QLD 4067
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Country
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Australia
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Phone
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+61 413412822
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Fax
123696
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Email
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[email protected]
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Data sharing statement
Will individual participant data (IPD) for this trial be available (including data dictionaries)?
No
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No/undecided IPD sharing reason/comment
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What supporting documents are/will be available?
No Supporting Document Provided
Results publications and other study-related documents
Documents added manually
No documents have been uploaded by study researchers.
Documents added automatically
No additional documents have been identified.
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