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Trial registered on ANZCTR
Registration number
ACTRN12622000846729
Ethics application status
Approved
Date submitted
21/05/2022
Date registered
16/06/2022
Date last updated
16/06/2022
Date data sharing statement initially provided
16/06/2022
Type of registration
Retrospectively registered
Titles & IDs
Public title
A randomised controlled m-health trial evaluating the effect of gamification on physical activity, sleep quantity, and quality of life in young adults
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Scientific title
A randomised controlled m-health trial evaluating the effect of gamification on physical activity, sleep quantity, and quality of life in young adults
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Secondary ID [1]
307184
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None
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Universal Trial Number (UTN)
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Trial acronym
LevantApp
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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
323695
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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
The LevantApp Study employed a 2-arm parallel group (1:1) single blind randomized controlled trial, with targeted physical activity and sleep quality as primary outcomes' in an 8-week intervention using an m-health approach. All individuals were provided a wearable device and engagement prompts to participate in the `LevantApp Challenge´ which consisted of determining who improved their levels of physical activity and sleep the most. However, the intervention group was given immediate feedback (daily reports) to the group success (such as points, leaderboards, and progress bars) while the control group had no information of the performance of the other participants.
Participants were advised to wear the wristband (Muvone, Secmotic, Spain) on the nondominant wrist in accordance with manufacturer guidelines. Except for water-based activities, the device must be worn during all waking hours, including during sleep. To avoid bias during this phase, only a brief description of the `LevantApp Challenge´ was given during this visit.
If you are here, it is because you are going to participate in the #LevantApp challenge. What does this experience consist of?
Your active habits (e.g., how much we move) and sedentary habits (e.g., for how long we sit) will be assessed and we will propose challenges to change your lifestyle. An important prize awaits you at the end of this competition. We do not anticipate you more… in the following link you will be able to access LevantApp. Shall we start?
Every evening (once per day) all users received a notification via Whatsapp with an individual link to reflect on their physical activities and sleep duration for that day. Goals to be entered into the link for physical activity included; the daily step count, the daily number of minutes of moderate to vigorous intensity and the energy expenditure; and for sleep, the sleep hours (time to wake (hh:mm) minus time to bed (hh:mm). Percentage of time wearable device worn will be determined by accessing app analytics. Participants allocated to the experimental group received feedback on their daily progress on bar charts which displays their progress toward their goals (personalised to participants once per day). Daily progress in relation to the goals: physical activity, step count, energy expenditure and sleep quantity was showed.
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Intervention code [1]
323636
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Lifestyle
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Intervention code [2]
323719
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Treatment: Devices
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Comparator / control treatment
Only participants allocated to the experimental group received feedback on their daily progress on bar charts which displays their progress toward their goals. Participants in the control group will receive information regarding their own progress daily in relation to the goals: physical activity, step count, energy expenditure and sleep quantity was showed.
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Control group
Active
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Outcomes
Primary outcome [1]
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A wrist-worn triaxial accelerometer (Mi Smart Band 6, Xiaomi, Beijing, China) was used to assess participants’ daily number of steps as a primary outcome.
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Assessment method [1]
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Timepoint [1]
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Baseline, 8 weeks post-intervention commencement.
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Secondary outcome [1]
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Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), which has shown good reliability and sensitivity to change in intervention studies (Buysse, Reynolds, Monk, Berman, & Kupfer, 1989).
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Assessment method [1]
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Timepoint [1]
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Baseline, 8 weeks post-intervention commencement.
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Secondary outcome [2]
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Sedentary behaviour
The Sedentary Behaviour Questionnaire (SBQ) (Munguía-Izquierdo et al., 2013) was created to measure how much time people spend doing nine different activities (watching TV, playing computer/video games, sitting while listening to music, sitting while talking on the phone, doing paperwork or office work, sitting and reading, playing a musical instrument, doing arts and crafts, and sitting while driving/riding in a car, bus, or train). For weekdays and weekends, the 9 things were completed separately. "On a normal workday, how much time do you spend (from when you wake up until you go to bed) doing the following?" was the question for weekday reporting.
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Assessment method [2]
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Timepoint [2]
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Baseline, 8 weeks post-intervention commencement.
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Secondary outcome [3]
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Quality of life
The SF-36 is a self-report health status questionnaire including eight subscales: physical functioning, role limitations due to physical health, role limitations due to emotional problems, energy/fatigue, emotional well-being, social functioning, pain and general health. Scores range from 0 to 100 with lower scores indicating more disability and higher scores indicating less disability
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Assessment method [3]
409902
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Timepoint [3]
409902
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Baseline, 8 weeks post-intervention commencement
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Secondary outcome [4]
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The Spanish long version of the ‘International Physical Activity Questionnaire’ (IPAQ) was used to subjectively measure total physical activity and moderate-to-vigorous-intensity physical activity (MVPA)
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Assessment method [4]
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Timepoint [4]
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Baseline, 8 weeks post-intervention commencement.
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Eligibility
Key inclusion criteria
To take part in the study, participants have to live in Seville (Spain), be 18–55 years of age and have access to an iOS or Android smartphone or tablet with internet access. Participants were recruited across the campus of the University of Seville, through social media and word of mouth.
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Minimum age
18
Years
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Maximum age
55
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
Participants will be excluded if they had a diagnosis of a sleep disorder such as insomnia, obstructive sleep apnoea or narcolepsy, if they were taking any sleep-aid medication or having any condition which would contraindicate participation in physical activity.
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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 was concealed using a central computer system.
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Methods used to generate the sequence in which subjects will be randomised (sequence generation)
Computer-generated randomisation list.
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Masking / blinding
Blinded (masking used)
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Who is / are masked / blinded?
The people assessing the outcomes
The people analysing the results/data
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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
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Statistical methods / analysis
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Recruitment
Recruitment status
Recruiting
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Date of first participant enrolment
Anticipated
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Actual
6/05/2022
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Date of last participant enrolment
Anticipated
15/07/2022
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Actual
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Date of last data collection
Anticipated
30/09/2022
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Actual
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Sample size
Target
100
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Accrual to date
40
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Final
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Recruitment outside Australia
Country [1]
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Spain
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State/province [1]
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Seville
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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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University of Seville
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Address [1]
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San Fernando s/n. Seville (Spain). E-41004
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Country [1]
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Spain
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Primary sponsor type
University
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Name
University of Seville
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Address
Facultad de Ciencias de la Educación. Dpto. Educación Física y Deporte. Pirotecnia s/n. Seville (Spain). E-41013
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Country
Spain
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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]
312892
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Country [1]
312892
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
310951
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University of Seville
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Ethics committee address [1]
310951
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Facultad de Ciencias de la Educación. Dpto. Educación Física y Deporte. Pirotecnia s/n. Seville (Spain). E-41013
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Ethics committee country [1]
310951
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Spain
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Date submitted for ethics approval [1]
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01/04/2022
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Approval date [1]
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04/04/2022
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Ethics approval number [1]
310951
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Summary
Brief summary
Current mHealth interventions aimed to improve physical activity or sleep quantity have employed several behavior change techniques in their systems, but were not experimentally manipulated (Murawski et al., 2019). Consequently, it is difficult to identify which technique actually influences behavior (Schroé et al., 2020). To date, the efficacy of single or specific combinations of behavior change techniques is unknown (Schroé et al., 2020) and there is a need for further investigation of theoretical backgrounds in intervention studies in order to draw a clear conclusion (Fiedler et al., 2020). To explore the effects of the implementation of one of these techniques (i.e., self-monitoring) to target multiple lifestyle behaviours (i.e., physical activity participation and sleep duration), this study investigates whether isolating the use of gamification design elements (such as points, leaderboards, and progress bars), can influence the motivation of participants and increase the effectiveness of an mHealth intervention to promote physical activity and sleep duration. The understanding on the efficacy of a single behaviour change technique modulation can provide guidance in developing future mHealth interventions. We hypothesize that the group receiving points or leaderboards (i.e., gamification) will increase a) the number of daily steps, b) the time on moderate to vigorous physical activity, c) sleep duration, more than the control group that participate in the competition but without feedback of the colleagues’ points. The LevantApp Study employed a 2-arm parallel group (1:1) single blind randomized controlled trial, with targeted physical activity and sleep quality as primary outcomes' in an 8-week intervention using an m-health approach. All individuals were provided a wearable device and engagement prompts to participate in the `LevantApp Challenge´ which consisted of determining who improved their levels of physical activity and sleep the most. However, the intervention group was given immediate feedback (daily reports) to the group success (such as points, leaderboards, and progress bars) while the control group had no information of the performance of the other participants.
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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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Prof Borja Sañudo
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Address
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Facultad de Ciencias de la Educación. C/ Pirotecnia s/n. Seville (Spain). E-41013
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Country
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Spain
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Phone
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+34652387090
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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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Borja Sañudo
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Address
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Facultad de Ciencias de la Educación. C/ Pirotecnia s/n. Seville (Spain). E-41013
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Country
119471
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Spain
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Phone
119471
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+34652387090
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Fax
119471
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Email
119471
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[email protected]
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Contact person for scientific queries
Name
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Borja Sañudo
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Address
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Facultad de Ciencias de la Educación. C/ Pirotecnia s/n. Seville (Spain). E-41013
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Country
119472
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Spain
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Phone
119472
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+34652387090
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Fax
119472
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Email
119472
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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)?
Yes
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What data in particular will be shared?
Individual participant data underlying published results only
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When will data be available (start and end dates)?
Immediately following publication, no end date
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Available to whom?
Only researchers who provide a methodologically sound proposal.
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Available for what types of analyses?
Any purpose.
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How or where can data be obtained?
Access subject to approvals by Principal Investigator (
[email protected]
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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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