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A Study to Test the Effectiveness of Different Interventions to Improve Physical Activity in Adults.

The Combined Effect OF Motivational Interviewing and Wearable Fitness Trackers on Motivation and Physical Activity In Inactive Adults: A Randomized Controlled Trial

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04902014
Enrollment
40
Registered
2021-05-26
Start date
2020-04-13
Completion date
2020-09-21
Last updated
2023-07-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Healthy

Keywords

mHealth, physical activity, motivation, self-determination theory

Brief summary

During the initial months of the COVID-19 pandemic, physical activity (PA) engagement levels declined worldwide. Despite the overwhelming adoption of wearable fitness tracker (WFT) devices, it continues to be unclear as to their effect on PA engagement or PA motivation. Building on past research, we hypothesized that combining a WFT with a known impactful intervention, motivational interviewing (MI) would positively influence both self-determination theory (SDT) motivation and PA during an unprecedented global emergency. A four-group randomized controlled study was conducted amongst 40 inactive adults over a 12-week period during the COVID-19 pandemic. One group (WFT, n = 10) received a wearable fitness tracker, a second (MI, n=10) received bi-weekly MI sessions, a third (WFT+, n=10) received both, and a fourth (Education, n=10) received basic PA education. Outcome measures for motivation and PA were measured though an online survey before and after the 12-week period.

Interventions

BEHAVIORALMotivational Interviewing

The individuals will be scheduled for and participate in six biweekly in person SDT based MI sessions. These sessions will take place in the HPCRL at CSU. The MI sessions will be conducted by a PhD student who has been trained by a MI practitioner. Participants will be provided a log book and will be asked to log their PA, with the goal of completing at least 150 minutes of PA per week. They will set biweekly PA goals, which will be discussed in the MI sessions. These participants will also receive general physical activity guidelines education and information on strategies to reach the recommended amount of activity per week during the initial baseline assessment meeting.

BEHAVIORALEducation

These participants will receive general physical activity guidelines education and information on strategies to reach the recommended amount of activity per week during the initial baseline assessment meeting. These participants will not do any other study related activities. At the conclusion of the study, these participants will be offered the chance to participate in one MI session.

BEHAVIORALWearable Fitness Trackers

Individuals assigned to this experimental condition will be given a wrist-worn WFT and will be instructed to wear it for the duration of the study. They will also download the corresponding mobile application on their smartphones. They will be trained by a member of our team on how to utilize the WFT and mobile application. The intended WFT tracks daily steps, miles traveled, kcals expended, and daily activity time. This device provides these data to the wearer via a small screen. Participants will be instructed to aim to complete at least 150 minutes of PA per week. Researchers will have the capability to track participant daily PA via the WFT and associated API. These individuals will be asked to set biweekly PA goals. These participants will also receive general physical activity guidelines education and information on strategies to reach the recommended amount of activity per week during the initial baseline assessment meeting.

BEHAVIORALWearable Fitness Tracker+

These individuals will be given the wrist-worn WFT, be instructed to wear it for the duration of the study AND be scheduled for six SDT based MI sessions. These participants will also be trained by a member of our team on how to utilize the WFT and associated application. They will be instructed to aim to complete 150 minutes of PA per week. These participants will be asked to set biweekly PA goals which will be discussed in MI sessions. Researchers will have the capability to track participant daily PA via the WFT and associated API. These participants will also receive general physical activity guidelines education and information on strategies to reach the recommended amount of activity per week during the initial baseline assessment meeting.

Sponsors

Colorado State University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* Females or males, aged 18 or older, * does not currently engage in 150 minutes of moderate to vigorous PA per week, * owns an Android, or iPhone smartphone device, * is willing to download a mobile app to be used on the smartphone device, 5) is willing to wear a small, wrist worn fitness tracker for the duration of the study, and 6) is be willing to attend 6 biweekly MI sessions over 12 weeks.

Exclusion criteria

* a history of myocardial infarction, angina, coronary artery bypass surgery, congestive heart failure, or diabetes, * limiting conditions such as concurrent cancer treatment, peripheral artery disease, orthopedic injury, or pain limiting arthritis, * seeking to participate in other structured PA programs during the duration of the study, * pregnant at the initiation of the study or plans to become pregnant during the study, and * alcohol or other substance abuse within the previous 12 months.

Design outcomes

Primary

MeasureTime frameDescription
Change in Motivation From Baseline at 12 Weeks.Baseline and at 12 weeks.Changes in motivation for physical activity as described by the self-determination theory was assessed using the Behavioral Regulation in Exercise Questionnaire, v3 (BREQ-3) and the Basic Psychological Needs in Exercise Scale (BPNS). The BREQ-3 uses four survey items per motivational subtype (Amotivation, External, Introjected, Identified, and Integrated Regulation, and Intrinsic Motivation). The BPNS uses three of four items per psychological need (Autonomy, Competence, and Relatedness) The raw scores per subtype or need are averaged for one subtype and need score per participant. The scale ranges from 0 (does not apply to me) to 4 (applies to me very much). Therefore, subtype or need score closer to ) indicate low levels of that subtype whereas scores closer to 4 indicate higher levels of that subtype or need.
Change in Moderate to Vigorous Physical Activity From Baseline at 12 Weeks.Baseline and at 12 weeksModerate to Vigorous Physical Activity (MVPA) was assessed using five days (4 weekdays and 1 weekend day) of actigraphy (ActiGraph).
Change in Steps Per Day From Baseline at 12 Weeks.Baseline and at 12 weeksSteps per day was assessed using five days (4 weekdays and 1 weekend day) of actigraphy (ActiGraph).

Countries

United States

Participant flow

Recruitment details

Participants were recruited through a variety of means including flyers on the Colorado State University campus, social media, and mass emails. Participants were recruited and admitted into the study on a rolling basis from April 2020-June 2020.

Pre-assignment details

Consented participants were stratified by sex (male/female) and age (20-29, 30-39, 40-49, 50-59, and 60-69 y/o.) before being randomized to one of four conditions.

Participants by arm

ArmCount
Education
Education: These participants will receive general physical activity guidelines education and information on strategies to reach the recommended amount of activity per week during the initial baseline assessment meeting. These participants will not do any other study related activities. At the conclusion of the study, these participants will be offered the chance to participate in one MI session.
10
Motivational Interviewing
Motivational Interviewing: The individuals will be scheduled for and participate in six biweekly in person SDT based MI sessions. These sessions will take place in the HPCRL at CSU. The MI sessions will be conducted by a PhD student who has been trained by a MI practitioner. Participants will be provided a log book and will be asked to log their PA, with the goal of completing at least 150 minutes of PA per week. They will set biweekly PA goals, which will be discussed in the MI sessions. These participants will also receive general physical activity guidelines education and information on strategies to reach the recommended amount of activity per week during the initial baseline assessment meeting.
10
Wearable Fitness Tracker
Wearable Fitness Trackers: Individuals assigned to this experimental condition will be given a wrist-worn WFT and will be instructed to wear it for the duration of the study. They will also download the corresponding mobile application on their smartphones. They will be trained by a member of our team on how to utilize the WFT and mobile application. The intended WFT tracks daily steps, miles traveled, kcals expended, and daily activity time. This device provides these data to the wearer via a small screen. Participants will be instructed to aim to complete at least 150 minutes of PA per week. Researchers will have the capability to track participant daily PA via the WFT and associated API. These individuals will be asked to set biweekly PA goals. These participants will also receive general physical activity guidelines education and information on strategies to reach the recommended amount of activity per week during the initial baseline assessment meeting.
10
Wearable Fitness Tracker+
Wearable Fitness Tracker+: These individuals will be given the wrist-worn WFT, be instructed to wear it for the duration of the study AND be scheduled for six SDT based MI sessions. These participants will also be trained by a member of our team on how to utilize the WFT and associated application. They will be instructed to aim to complete 150 minutes of PA per week. These participants will be asked to set biweekly PA goals which will be discussed in MI sessions. Researchers will have the capability to track participant daily PA via the WFT and associated API. These participants will also receive general physical activity guidelines education and information on strategies to reach the recommended amount of activity per week during the initial baseline assessment meeting.
10
Total40

Baseline characteristics

CharacteristicWearable Fitness TrackerMotivational InterviewingWearable Fitness Tracker+TotalEducation
Age, Categorical
<=18 years
0 Participants0 Participants0 Participants0 Participants0 Participants
Age, Categorical
>=65 years
0 Participants0 Participants0 Participants0 Participants0 Participants
Age, Categorical
Between 18 and 65 years
10 Participants10 Participants10 Participants40 Participants10 Participants
Age, Continuous42.3 years
STANDARD_DEVIATION 12.21
40.0 years
STANDARD_DEVIATION 11.27
42.4 years
STANDARD_DEVIATION 10.08
41.6 years
STANDARD_DEVIATION 11.59
41.8 years
STANDARD_DEVIATION 12.8
Body Mass Index25.68 kg/m2
STANDARD_DEVIATION 4.54
28.31 kg/m2
STANDARD_DEVIATION 5.01
30.53 kg/m2
STANDARD_DEVIATION 7.23
28.35 kg/m2
STANDARD_DEVIATION 5.9
28.89 kg/m2
STANDARD_DEVIATION 6.81
Education
College Degree
3 Participants1 Participants2 Participants11 Participants5 Participants
Education
Graduate Degree
7 Participants7 Participants7 Participants26 Participants5 Participants
Education
High School or GED
0 Participants0 Participants1 Participants1 Participants0 Participants
Education
Some College
0 Participants2 Participants0 Participants2 Participants0 Participants
Ethnicity (NIH/OMB)
Hispanic or Latino
0 Participants0 Participants1 Participants1 Participants0 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
10 Participants10 Participants8 Participants36 Participants8 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants1 Participants3 Participants2 Participants
Income
$100,000-$150,000
1 Participants5 Participants3 Participants11 Participants2 Participants
Income
$12,500-$26,999
1 Participants0 Participants0 Participants1 Participants0 Participants
Income
$27,000-$43,999
1 Participants2 Participants0 Participants4 Participants1 Participants
Income
$44,000-$59,999
1 Participants0 Participants4 Participants6 Participants1 Participants
Income
$60,000-$74,999
2 Participants1 Participants1 Participants6 Participants2 Participants
Income
$75,000-$99,999
1 Participants1 Participants0 Participants4 Participants2 Participants
Income
Do Not Know/Prefer Not to Answer
1 Participants0 Participants1 Participants2 Participants0 Participants
Income
More than $150,000
2 Participants1 Participants1 Participants6 Participants2 Participants
Motivation Variables
Amotivation
0.35 units on a scale
STANDARD_DEVIATION 0.41
0.48 units on a scale
STANDARD_DEVIATION 0.46
0.83 units on a scale
STANDARD_DEVIATION 0.31
0.54 units on a scale
STANDARD_DEVIATION 0.42
0.48 units on a scale
STANDARD_DEVIATION 0.48
Motivation Variables
Autonomy
3.68 units on a scale
STANDARD_DEVIATION 0.56
3.28 units on a scale
STANDARD_DEVIATION 0.52
3.63 units on a scale
STANDARD_DEVIATION 0.51
3.55 units on a scale
STANDARD_DEVIATION 0.49
3.60 units on a scale
STANDARD_DEVIATION 0.35
Motivation Variables
Competence
3.03 units on a scale
STANDARD_DEVIATION 1.22
2.78 units on a scale
STANDARD_DEVIATION 0.48
2.62 units on a scale
STANDARD_DEVIATION 0.73
2.88 units on a scale
STANDARD_DEVIATION 0.77
3.10 units on a scale
STANDARD_DEVIATION 0.64
Motivation Variables
External Regulation
0.98 units on a scale
STANDARD_DEVIATION 0.32
1.83 units on a scale
STANDARD_DEVIATION 1.04
1.53 units on a scale
STANDARD_DEVIATION 0.78
1.44 units on a scale
STANDARD_DEVIATION 0.8
1.43 units on a scale
STANDARD_DEVIATION 1.06
Motivation Variables
Identified Regulation
3.10 units on a scale
STANDARD_DEVIATION 0.52
2.60 units on a scale
STANDARD_DEVIATION 0.49
2.98 units on a scale
STANDARD_DEVIATION 0.32
2.94 units on a scale
STANDARD_DEVIATION 0.5
3.06 units on a scale
STANDARD_DEVIATION 0.65
Motivation Variables
Integrated Regulation
2.50 units on a scale
STANDARD_DEVIATION 0.94
1.73 units on a scale
STANDARD_DEVIATION 0.51
2.03 units on a scale
STANDARD_DEVIATION 0.49
2.09 units on a scale
STANDARD_DEVIATION 0.61
2.09 units on a scale
STANDARD_DEVIATION 0.57
Motivation Variables
Intrinsic Regulation
2.53 units on a scale
STANDARD_DEVIATION 1.07
1.98 units on a scale
STANDARD_DEVIATION 0.82
1.83 units on a scale
STANDARD_DEVIATION 0.89
2.10 units on a scale
STANDARD_DEVIATION 0.88
2.07 units on a scale
STANDARD_DEVIATION 0.73
Motivation Variables
Introjected Regulation
2.23 units on a scale
STANDARD_DEVIATION 0.95
2.35 units on a scale
STANDARD_DEVIATION 1.07
2.62 units on a scale
STANDARD_DEVIATION 0.63
2.34 units on a scale
STANDARD_DEVIATION 0.87
2.17 units on a scale
STANDARD_DEVIATION 0.82
Motivation Variables
Relatedness
3.00 units on a scale
STANDARD_DEVIATION 0.37
3.35 units on a scale
STANDARD_DEVIATION 0.76
3.30 units on a scale
STANDARD_DEVIATION 0.86
3.18 units on a scale
STANDARD_DEVIATION 0.63
3.08 units on a scale
STANDARD_DEVIATION 0.58
Motivation Variables
Relative Autonomy Index
4.57 units on a scale
STANDARD_DEVIATION 3.03
1.65 units on a scale
STANDARD_DEVIATION 2.06
4.78 units on a scale
STANDARD_DEVIATION 2.22
3.53 units on a scale
STANDARD_DEVIATION 2.52
3.13 units on a scale
STANDARD_DEVIATION 2.78
Physical Activity Variables
Minutes of Moderate to Vigorous Physical Activity Minutes per Weekday
74.18 units on a scale
STANDARD_DEVIATION 32.55
51.63 units on a scale
STANDARD_DEVIATION 26.84
51.90 units on a scale
STANDARD_DEVIATION 22.18
60.07 units on a scale
STANDARD_DEVIATION 26.08
62.55 units on a scale
STANDARD_DEVIATION 22.43
Physical Activity Variables
Minutes of Moderate to Vigorous Physical Activity Minutes per Weekend Day
70.58 units on a scale
STANDARD_DEVIATION 18.33
69.16 units on a scale
STANDARD_DEVIATION 38.2
63.87 units on a scale
STANDARD_DEVIATION 27.17
69.22 units on a scale
STANDARD_DEVIATION 28.71
73.25 units on a scale
STANDARD_DEVIATION 30.61
Physical Activity Variables
Minutes of Moderate to Vigorous Physical Activity per Day
74.05 units on a scale
STANDARD_DEVIATION 23.58
56.26 units on a scale
STANDARD_DEVIATION 25.1
53.82 units on a scale
STANDARD_DEVIATION 20.88
62.38 units on a scale
STANDARD_DEVIATION 22.35
65.37 units on a scale
STANDARD_DEVIATION 19.82
Physical Activity Variables
Steps per Day
5817.82 units on a scale
STANDARD_DEVIATION 2334.36
4640.30 units on a scale
STANDARD_DEVIATION 1759.94
5564.56 units on a scale
STANDARD_DEVIATION 1783.55
5428.35 units on a scale
STANDARD_DEVIATION 1963.02
5690.71 units on a scale
STANDARD_DEVIATION 1974.24
Physical Activity Variables
Steps per Weekday
5877.11 units on a scale
STANDARD_DEVIATION 2741.19
4514.95 units on a scale
STANDARD_DEVIATION 2646.5
5346.10 units on a scale
STANDARD_DEVIATION 1712.86
5265.15 units on a scale
STANDARD_DEVIATION 2300.41
5322.45 units on a scale
STANDARD_DEVIATION 2101.1
Physical Activity Variables
Steps per Weekend Day
5494.35 units on a scale
STANDARD_DEVIATION 2142.58
5293.85 units on a scale
STANDARD_DEVIATION 2554.78
6189.68 units on a scale
STANDARD_DEVIATION 2784.17
5856.80 units on a scale
STANDARD_DEVIATION 2634.49
6449.33 units on a scale
STANDARD_DEVIATION 3056.45
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
Asian
0 Participants1 Participants0 Participants1 Participants0 Participants
Race (NIH/OMB)
Black or African American
0 Participants0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
More than one race
0 Participants0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
White
10 Participants9 Participants10 Participants39 Participants10 Participants
Region of Enrollment
United States
10 participants10 participants10 participants40 participants10 participants
Sex: Female, Male
Female
8 Participants8 Participants8 Participants32 Participants8 Participants
Sex: Female, Male
Male
2 Participants2 Participants2 Participants8 Participants2 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
EG003
affected / at risk
deaths
Total, all-cause mortality
0 / 100 / 100 / 100 / 10
other
Total, other adverse events
0 / 100 / 100 / 100 / 10
serious
Total, serious adverse events
0 / 100 / 100 / 100 / 10

Outcome results

Primary

Change in Moderate to Vigorous Physical Activity From Baseline at 12 Weeks.

Moderate to Vigorous Physical Activity (MVPA) was assessed using five days (4 weekdays and 1 weekend day) of actigraphy (ActiGraph).

Time frame: Baseline and at 12 weeks

ArmMeasureGroupValue (MEAN)Dispersion
EducationChange in Moderate to Vigorous Physical Activity From Baseline at 12 Weeks.Minutes of Moderate to Vigorous Activity per Weekend Day72.32 Minutes of MVPA per dayStandard Deviation 29.27
EducationChange in Moderate to Vigorous Physical Activity From Baseline at 12 Weeks.Minutes of Moderate to Vigorous Physical Activity per Weekday66.17 Minutes of MVPA per dayStandard Deviation 16.99
EducationChange in Moderate to Vigorous Physical Activity From Baseline at 12 Weeks.Minutes of Moderate to Vigorous Physical Activity per Day66.70 Minutes of MVPA per dayStandard Deviation 17.83
Motivational InterviewingChange in Moderate to Vigorous Physical Activity From Baseline at 12 Weeks.Minutes of Moderate to Vigorous Physical Activity per Weekday64.00 Minutes of MVPA per dayStandard Deviation 25.1
Motivational InterviewingChange in Moderate to Vigorous Physical Activity From Baseline at 12 Weeks.Minutes of Moderate to Vigorous Activity per Weekend Day69.70 Minutes of MVPA per dayStandard Deviation 22.3
Motivational InterviewingChange in Moderate to Vigorous Physical Activity From Baseline at 12 Weeks.Minutes of Moderate to Vigorous Physical Activity per Day67.75 Minutes of MVPA per dayStandard Deviation 16.47
Wearable Fitness TrackerChange in Moderate to Vigorous Physical Activity From Baseline at 12 Weeks.Minutes of Moderate to Vigorous Physical Activity per Day76.37 Minutes of MVPA per dayStandard Deviation 29.19
Wearable Fitness TrackerChange in Moderate to Vigorous Physical Activity From Baseline at 12 Weeks.Minutes of Moderate to Vigorous Physical Activity per Weekday78.97 Minutes of MVPA per dayStandard Deviation 32.67
Wearable Fitness TrackerChange in Moderate to Vigorous Physical Activity From Baseline at 12 Weeks.Minutes of Moderate to Vigorous Activity per Weekend Day66.17 Minutes of MVPA per dayStandard Deviation 38.62
Wearable Fitness Tracker+Change in Moderate to Vigorous Physical Activity From Baseline at 12 Weeks.Minutes of Moderate to Vigorous Activity per Weekend Day76.38 Minutes of MVPA per dayStandard Deviation 38.5
Wearable Fitness Tracker+Change in Moderate to Vigorous Physical Activity From Baseline at 12 Weeks.Minutes of Moderate to Vigorous Physical Activity per Day71.08 Minutes of MVPA per dayStandard Deviation 36.9
Wearable Fitness Tracker+Change in Moderate to Vigorous Physical Activity From Baseline at 12 Weeks.Minutes of Moderate to Vigorous Physical Activity per Weekday68.60 Minutes of MVPA per dayStandard Deviation 41.11
Primary

Change in Motivation From Baseline at 12 Weeks.

Changes in motivation for physical activity as described by the self-determination theory was assessed using the Behavioral Regulation in Exercise Questionnaire, v3 (BREQ-3) and the Basic Psychological Needs in Exercise Scale (BPNS). The BREQ-3 uses four survey items per motivational subtype (Amotivation, External, Introjected, Identified, and Integrated Regulation, and Intrinsic Motivation). The BPNS uses three of four items per psychological need (Autonomy, Competence, and Relatedness) The raw scores per subtype or need are averaged for one subtype and need score per participant. The scale ranges from 0 (does not apply to me) to 4 (applies to me very much). Therefore, subtype or need score closer to ) indicate low levels of that subtype whereas scores closer to 4 indicate higher levels of that subtype or need.

Time frame: Baseline and at 12 weeks.

ArmMeasureGroupValue (MEAN)Dispersion
EducationChange in Motivation From Baseline at 12 Weeks.Introjected Regulation2.45 Units on a scaleStandard Deviation 1.02
EducationChange in Motivation From Baseline at 12 Weeks.Intrinsic Motivation2.47 Units on a scaleStandard Deviation 0.53
EducationChange in Motivation From Baseline at 12 Weeks.Relative Autonomy Index3.37 Units on a scaleStandard Deviation 2.59
EducationChange in Motivation From Baseline at 12 Weeks.External Regulation1.58 Units on a scaleStandard Deviation 1.25
EducationChange in Motivation From Baseline at 12 Weeks.Identified Regulation3.10 Units on a scaleStandard Deviation 0.47
EducationChange in Motivation From Baseline at 12 Weeks.Amotivation0.30 Units on a scaleStandard Deviation 0.4
EducationChange in Motivation From Baseline at 12 Weeks.Autonomy3.62 Units on a scaleStandard Deviation 0.72
EducationChange in Motivation From Baseline at 12 Weeks.Competence3.20 Units on a scaleStandard Deviation 0.83
EducationChange in Motivation From Baseline at 12 Weeks.Integrated Regulation2.38 Units on a scaleStandard Deviation 0.93
EducationChange in Motivation From Baseline at 12 Weeks.Relatedness3.06 Units on a scaleStandard Deviation 1.18
Motivational InterviewingChange in Motivation From Baseline at 12 Weeks.Integrated Regulation2.45 Units on a scaleStandard Deviation 0.47
Motivational InterviewingChange in Motivation From Baseline at 12 Weeks.Autonomy3.97 Units on a scaleStandard Deviation 0.43
Motivational InterviewingChange in Motivation From Baseline at 12 Weeks.Intrinsic Motivation2.70 Units on a scaleStandard Deviation 0.62
Motivational InterviewingChange in Motivation From Baseline at 12 Weeks.Relative Autonomy Index4.00 Units on a scaleStandard Deviation 2.06
Motivational InterviewingChange in Motivation From Baseline at 12 Weeks.External Regulation1.45 Units on a scaleStandard Deviation 0.91
Motivational InterviewingChange in Motivation From Baseline at 12 Weeks.Introjected Regulation2.33 Units on a scaleStandard Deviation 0.82
Motivational InterviewingChange in Motivation From Baseline at 12 Weeks.Amotivation0.48 Units on a scaleStandard Deviation 0.43
Motivational InterviewingChange in Motivation From Baseline at 12 Weeks.Competence3.83 Units on a scaleStandard Deviation 0.33
Motivational InterviewingChange in Motivation From Baseline at 12 Weeks.Identified Regulation3.10 Units on a scaleStandard Deviation 0.53
Motivational InterviewingChange in Motivation From Baseline at 12 Weeks.Relatedness3.92 Units on a scaleStandard Deviation 0.68
Wearable Fitness TrackerChange in Motivation From Baseline at 12 Weeks.Relative Autonomy Index5.08 Units on a scaleStandard Deviation 2.27
Wearable Fitness TrackerChange in Motivation From Baseline at 12 Weeks.Amotivation0.40 Units on a scaleStandard Deviation 0.36
Wearable Fitness TrackerChange in Motivation From Baseline at 12 Weeks.External Regulation0.89 Units on a scaleStandard Deviation 0.4
Wearable Fitness TrackerChange in Motivation From Baseline at 12 Weeks.Introjected Regulation2.31 Units on a scaleStandard Deviation 0.77
Wearable Fitness TrackerChange in Motivation From Baseline at 12 Weeks.Identified Regulation3.20 Units on a scaleStandard Deviation 0.75
Wearable Fitness TrackerChange in Motivation From Baseline at 12 Weeks.Integrated Regulation2.61 Units on a scaleStandard Deviation 0.81
Wearable Fitness TrackerChange in Motivation From Baseline at 12 Weeks.Intrinsic Motivation2.87 Units on a scaleStandard Deviation 0.8
Wearable Fitness TrackerChange in Motivation From Baseline at 12 Weeks.Autonomy4.10 Units on a scaleStandard Deviation 0.45
Wearable Fitness TrackerChange in Motivation From Baseline at 12 Weeks.Competence3.65 Units on a scaleStandard Deviation 0.97
Wearable Fitness TrackerChange in Motivation From Baseline at 12 Weeks.Relatedness3.14 Units on a scaleStandard Deviation 0.26
Wearable Fitness Tracker+Change in Motivation From Baseline at 12 Weeks.Amotivation0.43 Units on a scaleStandard Deviation 0.49
Wearable Fitness Tracker+Change in Motivation From Baseline at 12 Weeks.Autonomy4.23 Units on a scaleStandard Deviation 0.35
Wearable Fitness Tracker+Change in Motivation From Baseline at 12 Weeks.Identified Regulation3.33 Units on a scaleStandard Deviation 0.54
Wearable Fitness Tracker+Change in Motivation From Baseline at 12 Weeks.Introjected Regulation2.48 Units on a scaleStandard Deviation 0.63
Wearable Fitness Tracker+Change in Motivation From Baseline at 12 Weeks.Relatedness3.87 Units on a scaleStandard Deviation 0.67
Wearable Fitness Tracker+Change in Motivation From Baseline at 12 Weeks.Competence3.75 Units on a scaleStandard Deviation 0.68
Wearable Fitness Tracker+Change in Motivation From Baseline at 12 Weeks.External Regulation1.27 Units on a scaleStandard Deviation 0.73
Wearable Fitness Tracker+Change in Motivation From Baseline at 12 Weeks.Intrinsic Motivation2.98 Units on a scaleStandard Deviation 0.59
Wearable Fitness Tracker+Change in Motivation From Baseline at 12 Weeks.Relative Autonomy Index4.78 Units on a scaleStandard Deviation 2.22
Wearable Fitness Tracker+Change in Motivation From Baseline at 12 Weeks.Integrated Regulation2.63 Units on a scaleStandard Deviation 0.83
Primary

Change in Steps Per Day From Baseline at 12 Weeks.

Steps per day was assessed using five days (4 weekdays and 1 weekend day) of actigraphy (ActiGraph).

Time frame: Baseline and at 12 weeks

ArmMeasureGroupValue (MEAN)Dispersion
EducationChange in Steps Per Day From Baseline at 12 Weeks.Steps per Day6155.58 Steps per dayStandard Deviation 1370.35
EducationChange in Steps Per Day From Baseline at 12 Weeks.Steps per Weekend Day6387.75 Steps per dayStandard Deviation 2350.78
EducationChange in Steps Per Day From Baseline at 12 Weeks.Steps per Weekday6216.31 Steps per dayStandard Deviation 1370.35
Motivational InterviewingChange in Steps Per Day From Baseline at 12 Weeks.Steps per Day5400.56 Steps per dayStandard Deviation 1314.9
Motivational InterviewingChange in Steps Per Day From Baseline at 12 Weeks.Steps per Weekend Day5235.22 Steps per dayStandard Deviation 1749.21
Motivational InterviewingChange in Steps Per Day From Baseline at 12 Weeks.Steps per Weekday5211.16 Steps per dayStandard Deviation 1847.8
Wearable Fitness TrackerChange in Steps Per Day From Baseline at 12 Weeks.Steps per Weekday7183.81 Steps per dayStandard Deviation 2430.83
Wearable Fitness TrackerChange in Steps Per Day From Baseline at 12 Weeks.Steps per Day6693.01 Steps per dayStandard Deviation 2394.24
Wearable Fitness TrackerChange in Steps Per Day From Baseline at 12 Weeks.Steps per Weekend Day5275.90 Steps per dayStandard Deviation 3292.88
Wearable Fitness Tracker+Change in Steps Per Day From Baseline at 12 Weeks.Steps per Day6232.15 Steps per dayStandard Deviation 2857.27
Wearable Fitness Tracker+Change in Steps Per Day From Baseline at 12 Weeks.Steps per Weekend Day6565.06 Steps per dayStandard Deviation 3156.44
Wearable Fitness Tracker+Change in Steps Per Day From Baseline at 12 Weeks.Steps per Weekday6123.24 Steps per dayStandard Deviation 3047.3

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026