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Trial registered on ANZCTR
Registration number
ACTRN12614000016639
Ethics application status
Approved
Date submitted
10/12/2013
Date registered
7/01/2014
Date last updated
11/11/2016
Type of registration
Prospectively registered
Titles & IDs
Public title
Can interventions that aim to promote physical activity and prevent falls be combined successfully to improve mobility and independence in older age?
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Scientific title
What is the effect of a physical activity promotion and fall prevention intervention compared to an advice brochure on physical activity participation, mobility goal attainment and falls in older, community-dwelling adults?
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Secondary ID [1]
283662
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Nil
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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:
Falls
290616
0
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Physical activity participation
290617
0
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Condition category
Condition code
Injuries and Accidents
291008
291008
0
0
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Other injuries and accidents
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Physical Medicine / Rehabilitation
291153
291153
0
0
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Other physical medicine / rehabilitation
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Public Health
291154
291154
0
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 intervention aims to increase physical activity participation and reduce risk of falling. It involves a fall risk assessment, tailored fall prevention and physical activity counselling using health coaching and a pedometer-based intervention enhanced with a web-interface (using the "fitbit") to provide feedback and encouragement. The intervention components mentioned above will be delivered by the research physiotherapist during one home visit, lasting approximately two hours. Participants will be encouraged to wear the pedometer during waking hours on a daily basis for the whole six months to record their daily steps and provide feedback and motivation to increase their physical activity participation. An ultimate goal of undertaking 10,000 steps/ day will be the target. The "fitbit" enhanced pedometer is designed to wirelessly synchronise with computer software to download stored physical activity information and participants will be encouraged to synchronise and download their data on a weekly basis or more often if they desire to. During the implementation of the intervention participants will be taught how to use the "fitbit" device and the associated internet-based feedback and monitoring technology. The research team will have access to all intervention participants "fitbit" data and will monitor individual adherence with the intervention. People who have not downloaded their "fitbit" data in the past week will be contacted to enquire about any problems encountered with the pedometer and to encourage compliance with the intervention protocol.
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Intervention code [1]
288369
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Lifestyle
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Intervention code [2]
288370
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Prevention
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Intervention code [3]
288494
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Behaviour
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Comparator / control treatment
The control group will receive the Staying Active and On Your Feet booklet developed by the NSW Ministry of Health and will be advised to continue their usual activities including any health service contact so will not be disadvantaged by being in the study.
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Control group
Active
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Outcomes
Primary outcome [1]
291001
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Physical activity participation, assessed over a 7-day period using the Actigraph accelerometer
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Assessment method [1]
291001
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Timepoint [1]
291001
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Six and 12 months after randomisation
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Primary outcome [2]
291002
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Mobility goal attainment will be assessed using the Goal Attainment Scale.
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Assessment method [2]
291002
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Timepoint [2]
291002
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Six and 12 months after randomisation
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Secondary outcome [1]
305794
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The proportion of people meeting physical activity guidelines of 150 minutes per week of moderate to vigorous physical activity (from the Actigraph)
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Assessment method [1]
305794
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Timepoint [1]
305794
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Six and 12 months after randomisation
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Secondary outcome [2]
305795
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Quality of life will be assessed with the EQ-5D.
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Assessment method [2]
305795
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Timepoint [2]
305795
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Six and 12 months after randomisation
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Secondary outcome [3]
305796
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Fear of falling will be assessed using the short-form Falls Efficacy Scale International
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Assessment method [3]
305796
0
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Timepoint [3]
305796
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Six and 12 months after randomisation
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Secondary outcome [4]
305797
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Mood will be assessed with the positive sub-scale of the Positive and Negative Affect Scale
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Assessment method [4]
305797
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Timepoint [4]
305797
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Six and 12 months after randomisation
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Secondary outcome [5]
305799
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Mobility disability will be assessed using the Late Life Function and Disability Index
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Assessment method [5]
305799
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Timepoint [5]
305799
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Six and 12 months after randomisation
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Secondary outcome [6]
312171
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Falls- recorded with monthly postal calendars
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Assessment method [6]
312171
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Timepoint [6]
312171
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12 months after randomisation
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Eligibility
Key inclusion criteria
-aged 60+
-living at home
-regular (weekly) use of a computer or internet-connected tablet device
-leaves the house regularly (at least once per week) without physical assistance from another person.
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Minimum age
60
Years
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Maximum age
No limit
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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
being “house-bound” -cognitive impairment (a diagnosis of dementia or a Memory Impairment Screen score of less than 5) -insufficient English language skills to fully participate in the program -an inability to leave the house without physical assistance from another person -a progressive neurological disease (e.g., Parkinson’s disease) -a medical condition precluding exercise (e.g., unstable cardiac disease) -or if they already meet the Australian Physical Activity Guidelines for older adults (operationalised as 30 minutes of moderate intensity physical activity 5 days a week assessed using the Incidental and Planned Exercise Questionnaire and they have had a falls risk assessment in the past year and subsequently implemented fall prevention strategies as a result of the risk assessment.
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Study design
Purpose of the study
Prevention
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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)
Informed consent
Baseline measurement
Central randomisation by an investigator not involved in recruitment
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Methods used to generate the sequence in which subjects will be randomised (sequence generation)
Permuted block randomisation
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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
Efficacy
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Statistical methods / analysis
General linear models will be used to assess the effect of group allocation on the continuously-scored primary (average physical activity counts per minute) and secondary outcome measures (quality of life, fear of falling, mood, mobility disability, community participation), after adjusting for baseline scores. Between-group differences in goal attainment (primary outcome) will be analysed with ordinal regression. The number of falls per person-year will be analysed using negative binomial regression models to estimate the between-group difference in fall rates after one year (secondary outcome). Modified Poisson regression models will be used to compare groups on dichotomous outcome measures (proportion of fallers, proportion meeting physical activity guidelines).
A total of 130 participants (65 per group) will provide 80% power to detect a 15% between-group difference in the primary physical activity outcome (i.e., a between-group difference of 35 mean counts per minute during wear time, standard deviation of 91), a dropout rate of 15% and alpha of 5%. The estimates of mean accelerometer counts per minute for this calculation were taken from the 263 community dwelling USA-based women aged 65 and older in a large sample of accelerometer data. We took a conservative approach and estimated the proportion of dropouts at 15% although our previous trials have had lower dropout rates. These calculations were undertaken in Stata 12 using the sampsi command, assuming a 0.7 correlation between measures and assuming a post-test between-group comparison that adjusted for baseline scores.
A sample size of 130 will also provide 80% power to detect a clinically meaningful 20% between-group difference in goal attainment scores. The sample size will also be sufficient to detect between-group differences in the order of 10-15% for the secondary outcome measures.
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Recruitment
Recruitment status
Completed
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Date of first participant enrolment
Anticipated
27/01/2014
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Actual
28/01/2014
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Date of last participant enrolment
Anticipated
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Actual
13/08/2015
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Date of last data collection
Anticipated
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Actual
30/08/2016
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Sample size
Target
130
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Accrual to date
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Final
131
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Recruitment in Australia
Recruitment state(s)
NSW
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Funding & Sponsors
Funding source category [1]
288358
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Government body
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Name [1]
288358
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Marrickville Council
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Address [1]
288358
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2-14 Fisher St, PO Box 14 Petersham NSW 2049
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Country [1]
288358
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Australia
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Funding source category [2]
289708
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Other
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Name [2]
289708
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Research bequest
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Address [2]
289708
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not applicable
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Country [2]
289708
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Australia
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Primary sponsor type
University
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Name
The University of Sydney
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Address
The George Institute for Global Health
PO Box M201 Missenden Rd
NSW 2050
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Country
Australia
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Secondary sponsor category [1]
287065
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None
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Name [1]
287065
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Address [1]
287065
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Country [1]
287065
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
290239
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The University of Sydney Human Research Ethics Committee
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Ethics committee address [1]
290239
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University of Sydney HREC. The University of Sydney. NSW. 2006
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Ethics committee country [1]
290239
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Australia
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Date submitted for ethics approval [1]
290239
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Approval date [1]
290239
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17/10/2013
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Ethics approval number [1]
290239
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2013/789
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Summary
Brief summary
This trial aims to establish the impact of a physical activity and fall prevention intervention compared to an advice brochure on physical activity levels, mobility goal attainment, fall rates, mobility disability, quality of life, fear of falling, mood and community participation in community-dwelling older people. We hypothesise that at the end of the 12 month follow-up period, intervention participants will be more physically active, have fewer falls and improve on measures of mobility goal attainment, mobility disability, quality of life, fear of falling, mood and community participation compared to control group 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
44598
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A/Prof Anne Tiedemann
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Address
44598
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The George Institute for Global Health, PO Box M201 Missenden Rd, NSW 2050
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Country
44598
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Australia
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Phone
44598
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61280524393
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Fax
44598
0
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Email
44598
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[email protected]
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Contact person for public queries
Name
44599
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Anne Tiedemann
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Address
44599
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The George Institute for Global Health, PO Box M201 Missenden Rd, NSW 2050
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Country
44599
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Australia
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Phone
44599
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61280524393
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Fax
44599
0
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Email
44599
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[email protected]
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Contact person for scientific queries
Name
44600
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Anne Tiedemann
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Address
44600
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The George Institute for Global Health, PO Box M201 Missenden Rd, NSW 2050
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Country
44600
0
Australia
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Phone
44600
0
61280524393
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Fax
44600
0
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Email
44600
0
[email protected]
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No information has been provided regarding IPD availability
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
Source
Title
Year of Publication
DOI
Embase
A novel approach to the issue of physical inactivity in older age.
2015
https://dx.doi.org/10.1016/j.pmedr.2015.07.008
Embase
What is the effect of a combined physical activity and fall prevention intervention enhanced with health coaching and pedometers on older adults' physical activity levels and mobility-related goals? Study protocol for a randomised controlled trial.
2015
https://dx.doi.org/10.1186/s12889-015-1380-7
N.B. These documents automatically identified may not have been verified by the study sponsor.
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