Please note that the copy function is not enabled for this field.
If you wish to
modify
existing outcomes, please copy and paste the current outcome text into the Update field.
LOGIN
CREATE ACCOUNT
LOGIN
CREATE ACCOUNT
MY TRIALS
REGISTER TRIAL
FAQs
HINTS AND TIPS
DEFINITIONS
Trial Review
The ANZCTR website will be unavailable from 1pm until 3pm (AEDT) on Wednesday the 30th of October for website maintenance. Please be sure to log out of the system in order to avoid any loss of data.
The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been endorsed by the ANZCTR. Before participating in a study, talk to your health care provider and refer to this
information for consumers
Download to PDF
Trial registered on ANZCTR
Registration number
ACTRN12617000674336
Ethics application status
Approved
Date submitted
5/05/2017
Date registered
10/05/2017
Date last updated
11/04/2018
Type of registration
Prospectively registered
Titles & IDs
Public title
The health effects of mobile phone use while walking
Query!
Scientific title
Mood effects of mobile phone use while walking in adult volunteers
Query!
Secondary ID [1]
291831
0
Nil known
Query!
Universal Trial Number (UTN)
Query!
Trial acronym
Query!
Linked study record
Query!
Health condition
Health condition(s) or problem(s) studied:
Mood
303077
0
Query!
Condition category
Condition code
Mental Health
302536
302536
0
0
Query!
Studies of normal psychology, cognitive function and behaviour
Query!
Intervention/exposure
Study type
Interventional
Query!
Description of intervention(s) / exposure
Participants will be randomized to either the mobile phone or control condition. All will be asked to do a walking route around Auckland Domain for approximately 12 minutes. The walking route is on grass over park-like grounds. Those randomized to the mobile phone condition will be asked to read information about the Auckland Domain on a mobile phone while they are walking. All participants will receive verbal and visual instructions about the route for the walking task and will be fitted with the wrist worn fitness and heart rate monitor (Garmin vivosmart HR) to record heart rate, step count and walking speed. During the walking task a stationary digital video recorder will video each participant on the same stretch of the walking loop. These behavioural data will later be analysed for information on adherence to the assigned condition, posture and gaze behaviour.
Query!
Intervention code [1]
297945
0
Other interventions
Query!
Comparator / control treatment
Those in the control condition will complete the walking task without looking at a phone.
Query!
Control group
Active
Query!
Outcomes
Primary outcome [1]
301956
0
Overall mood, assessed with a visual analogue scale (VAS)
Query!
Assessment method [1]
301956
0
Query!
Timepoint [1]
301956
0
baseline and post walking
Query!
Secondary outcome [1]
334355
0
Affect, measured with The Affect Valuation Index (AVI)
Query!
Assessment method [1]
334355
0
Query!
Timepoint [1]
334355
0
baseline and post walking
Query!
Secondary outcome [2]
334356
0
Current positive mood, assessed with a visual analogue scale
Query!
Assessment method [2]
334356
0
Query!
Timepoint [2]
334356
0
baseline and post walking
Query!
Secondary outcome [3]
334358
0
Current negative mood, assessed with a visual analogue scale
Query!
Assessment method [3]
334358
0
Query!
Timepoint [3]
334358
0
baseline and post walking
Query!
Secondary outcome [4]
334359
0
Feelings of power, assessed by four items adapted from Cuddy, Wilmuth, and Carney (2012). Participants rate how "dominant", "in control", "powerful" and "confident" they feel on a scale ranging from "not at all" to "extremely"
Query!
Assessment method [4]
334359
0
Query!
Timepoint [4]
334359
0
baseline and post walking
Query!
Secondary outcome [5]
334360
0
Trait contentedness with nature, measured with the Inclusion of Nature in Self Scale (Schultz, 2002), an adaption from the Inclusion of Self in Other Scale (Aron, Aron, & Smollan, 1992). Participants rate their general connectedness with nature on a single-item pictorial measure. Seven different response options show two circles (self and nature) with different amounts of overlap, representing different levels of connectedness.
Query!
Assessment method [5]
334360
0
Query!
Timepoint [5]
334360
0
baseline
Query!
Secondary outcome [6]
334361
0
State connectedness with nature, measured with the Inclusion of Nature in Self Scale (Schultz, 2002), an adaption from the Inclusion of Self in Other Scale (Aron, Aron, & Smollan, 1992). Participants rate their momentary connectedness with nature on a single-item pictorial measure.
Query!
Assessment method [6]
334361
0
Query!
Timepoint [6]
334361
0
Baseline and post walking
Query!
Secondary outcome [7]
334499
0
walking time
Query!
Assessment method [7]
334499
0
Query!
Timepoint [7]
334499
0
at the end of the walking route
Query!
Secondary outcome [8]
334500
0
heart rate measured on the Garmin vivosmart HR
Query!
Assessment method [8]
334500
0
Query!
Timepoint [8]
334500
0
during the walking task
Query!
Secondary outcome [9]
334501
0
blood pressure using sphygmomanometer
Query!
Assessment method [9]
334501
0
Query!
Timepoint [9]
334501
0
change from before to after the walking tasks
Query!
Secondary outcome [10]
334609
0
Posture assessed using computer software analysis of body angles from still frames taken from video of the participant walking. We are interested in head angle, eye angle, and the size of arm swing.
Query!
Assessment method [10]
334609
0
Query!
Timepoint [10]
334609
0
mid-way during the walking route
Query!
Secondary outcome [11]
334610
0
Stride-length. We will know the number of steps taken from the Garmin Vivosmart HR and the distance walked is the same for everyone since they walk the same route Distance walked/number of steps = stride length
Query!
Assessment method [11]
334610
0
Query!
Timepoint [11]
334610
0
over the course of the walk
Query!
Eligibility
Key inclusion criteria
Able to understand and read English
Query!
Minimum age
16
Years
Query!
Query!
Maximum age
No limit
Query!
Query!
Sex
Both males and females
Query!
Can healthy volunteers participate?
Yes
Query!
Key exclusion criteria
Participants will be excluded if they are under 16 years of age, if they are not fluent in English, if they have impaired vision that disables them from reading a text off a smart phone, or if they are unable to walk unaided for about 12 minutes.
Query!
Study design
Purpose of the study
Prevention
Query!
Allocation to intervention
Randomised controlled trial
Query!
Procedure for enrolling a subject and allocating the treatment (allocation concealment procedures)
sealed opaque envelopes
Query!
Methods used to generate the sequence in which subjects will be randomised (sequence generation)
Simple randomization using randomization table created by a computer software (i.e. computerized sequence generation)
Query!
Masking / blinding
Blinded (masking used)
Query!
Who is / are masked / blinded?
The people receiving the treatment/s
Query!
Query!
Query!
Query!
Intervention assignment
Parallel
Query!
Other design features
Query!
Phase
Not Applicable
Query!
Type of endpoint/s
Query!
Statistical methods / analysis
An ANCOVA with between subject factor of group allocation (mobile phone or not) will be used to analyze the data, controlling for baseline scores of measured variables.
Hackford (2015) found an effect size of partial eta squared =.06 of posture (slumped versus. upright) on both low arousal negative affect and high arousal affect during walking in a standardized stressful situation. G power indicates that to find a similar intermediate sized effect, using power of .80, alpha of .05 and an ANCOVA controlling for baseline measures, 125 participants would be required overall.
Other relevant studies which also found medium size effects are Andrews-Smith (2016), who found an effect size of partial eta squared of =.073 of eye gaze direction on overall mood in a non stressful situation, and Miller & Krizan (2016) who found an effect size of d=.57 of walking on positive affect.
Query!
Recruitment
Recruitment status
Completed
Query!
Date of first participant enrolment
Anticipated
15/05/2017
Query!
Actual
24/05/2017
Query!
Date of last participant enrolment
Anticipated
31/07/2017
Query!
Actual
25/09/2017
Query!
Date of last data collection
Anticipated
31/07/2017
Query!
Actual
25/09/2017
Query!
Sample size
Target
125
Query!
Accrual to date
Query!
Final
125
Query!
Recruitment outside Australia
Country [1]
8863
0
New Zealand
Query!
State/province [1]
8863
0
Auckland
Query!
Funding & Sponsors
Funding source category [1]
296329
0
University
Query!
Name [1]
296329
0
University of Auckland
Query!
Address [1]
296329
0
The University of Auckland
Private Bag 92019, Auckland 1142
Query!
Country [1]
296329
0
New Zealand
Query!
Primary sponsor type
University
Query!
Name
University of Auckland
Query!
Address
The University of Auckland
Private Bag 92019, Auckland 1142
Query!
Country
New Zealand
Query!
Secondary sponsor category [1]
295257
0
None
Query!
Name [1]
295257
0
none
Query!
Address [1]
295257
0
none
Query!
Country [1]
295257
0
Query!
Ethics approval
Ethics application status
Approved
Query!
Ethics committee name [1]
297559
0
The University of Auckland Human Participants Ethics Committee
Query!
Ethics committee address [1]
297559
0
Office of the Vice Chancellor, Research Office Alfred Nathan House, The University of Auckland Private Bag 92019, Auckland 1142
Query!
Ethics committee country [1]
297559
0
New Zealand
Query!
Date submitted for ethics approval [1]
297559
0
27/02/2017
Query!
Approval date [1]
297559
0
24/03/2017
Query!
Ethics approval number [1]
297559
0
018789
Query!
Summary
Brief summary
The purpose of the study is to investigate whether looking at a mobile phone can moderate the positive effect of walking on mood. An experiment will be conducted with 125 participants randomised to walk for approximately 12 minutes either while looking at a mobile phone or while not looking at a mobile phone. The investigators hypothesize that walking with a mobile phone will result in lower overall mood, less positive and more negative mood, more negative affect and lower feelings of power compared to those who walk without a mobile phone. We expect that this will be mediated by slumped posture with downward eye gaze and/or by lower connectedness with nature and/or by lower physiological arousal. We expect that the group with the mobile phone will take longer to complete the walk, and will have a shorter stride-length, and smaller arm-swing, lower heart rate and blood pressure. Results will be analysed with SPSS software.
Query!
Trial website
Query!
Trial related presentations / publications
Query!
Public notes
Query!
Contacts
Principal investigator
Name
74438
0
A/Prof Elizabeth Broadbent
Query!
Address
74438
0
Department of Psychological Medicine,
University of Auckland
Private Bag 92019, Auckland 1142
Query!
Country
74438
0
New Zealand
Query!
Phone
74438
0
+64 9 3737599 Ext 86756
Query!
Fax
74438
0
Query!
Email
74438
0
[email protected]
Query!
Contact person for public queries
Name
74439
0
Elizabeth Broadbent
Query!
Address
74439
0
Department of Psychological Medicine,
University of Auckland
Private Bag 92019, Auckland 1142
Query!
Country
74439
0
New Zealand
Query!
Phone
74439
0
+64 9 3737599 Ext 86756
Query!
Fax
74439
0
Query!
Email
74439
0
[email protected]
Query!
Contact person for scientific queries
Name
74440
0
Elizabeth Broadbent
Query!
Address
74440
0
Department of Psychological Medicine,
University of Auckland
Private Bag 92019, Auckland 1142
Query!
Country
74440
0
New Zealand
Query!
Phone
74440
0
+64 9 3737599 Ext 86756
Query!
Fax
74440
0
Query!
Email
74440
0
[email protected]
Query!
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
No additional documents have been identified.
Download to PDF