ClinicalTrials.gg
CompletedNCT03417440Updated Nov 21, 2022Results posted

A Smartphone App to Improve Physical Activity

An interventional study of Physical Activity (PA) Tracker App and On Your Feet in Sedentary Lifestyle, sponsored by University of Southern California. Completed at 2 sites in United States. Open to participants aged 65 Years to 84 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2022-11-21.

Sponsored by University of Southern California · Not applicable, Interventional, and Other

Phase
Not applicable
Study type
Interventional
Enrollment
111
Allocation
Randomized
Ages
65 Years to 84 Years
Sex
All
01

Study summary

The purpose of this study is to develop, test, and optimize a physical activity (PA)-tracking smartphone app and specialty features, which are designed to facilitate older adults' PA by targeting common barriers in this population. For example, one feature sends messages throughout the day about the good things about growing older to combat negative views about aging which has been linked to decreased PA. Participants will include older adult smartphone users who are between the ages of 65 and 84 and are not very physically active. In phase one of the study, three groups of five older adults will be formed to test the PA-tracking app and one of three specialty features for a two-week period, followed by a focus group to learn about the older adults' experiences. In phase two, approximately 100 participants will be randomly assigned to one of eight groups that include various combinations of specialty features with the PA tracker, for the purpose of pilot testing the app for a four-month period. Testing will occur at the beginning and the end of the four-month intervention period, and will measure PA levels, sedentary activity time, self-reported PA, and functional mobility.

Read the detailed description

In this study, we will optimize a set of tailored specialty app features designed to be paired with a physical activity (PA)-tracking app to boost older adults' PA. This package, termed the MovingUp suite, is distinct from generic fitness apps because it blends a set of specialized components that reflect empirically supported constructs from social cognitive and stereotype embodiment theory with evidence-based behavior change techniques (e.g., self-regulation) foundational to basic activity monitoring. Specialty features include: (a) explicit and implicit messaging to promote positive aging views; (b) sedentary activity monitoring with motivational messaging and peer suggestions; and (c) tailored messaging to increase the intensity level of everyday activities and overcome barriers. We will utilize a highly efficient, innovative methodological approach-Multiphase Optimization Strategy (MOST)-to provide an experimental context for evaluating the viability of each MovingUp specialty feature.

Aim 1: Assess the feasibility and acceptability of the three MovingUp specialty features. We will first examine MovingUp's feasibility and acceptability in three groups of five older adults (aged 65-84 years). A basic PA-tracking app plus one of three specialty features will be introduced-a different feature per group-at an orientation session. Groups will then test their assigned specialty feature with the PA tracker for two weeks. This step will involve real-time user data collection, check-ins via phone, and follow-up focus groups. Feasibility and acceptability will be determined by analyzing participants' usage patterns, evaluations of MovingUp features (based on a health technology usability scale and focus group interviews), and self-reported facilitators and barriers to successful app use. Our team will review the data and integrate changes as needed, producing an upgraded prototype to be assessed in Aim 2.

Aim 2: Conduct a pilot test to examine performance characteristics and PA-relevant outcomes of MovingUp's specialty features. Aim 2 includes the MOST Screening Phase: theory-guided experimentation to identify viable components within a multifaceted preliminary intervention plan. Using a factorial design as specified in MOST procedures, 100 underactive older adults (i.e., accumulating \<150 minutes of moderate intensity activity per week) will be randomly assigned to one of eight conditions which reflect all possible combinations of presence vs. absence of the three respective specialty features, given usage of a PA tracker app. At the end of a four-month intervention period, for each specialty feature we will examine changes from baseline in PA-related outcomes including: objective PA (primary outcome), sedentary activity time, self-reported PA, and functional mobility. We will also examine the app components' relationships to theoretically postulated mediating constructs (self-efficacy, self-regulation, outcome expectation, social support, aging self-perception, and views of aging). In addition, we will document usage rate, sustained usage, and perceived usefulness for achieving PA goals for each suite component.

Aim 3: Synthesize information from Aim 2 to design an optimized MovingUp suite to be evaluated in a future RCT. Our study team will interpret and synthesize the array of resulting data to derive an optimized MovingUp suite. A set of pre-specified criteria will be used to guide selection of components in the optimized app. Using preliminary efficacy data, the stage will be set for a fully powered RCT of MovingUp's beneficial effects in comparison to alternate technologies such as web-based or mHealth solutions.

This project will help establish a methodological foundation for future attempts to enhance PA apps via the addition of theoretically based component features. Moreover, it will provide insights into the theoretical underpinnings of successful PA interventions for older adults, leading to information that transcends any single technology-based solution.

02

Conditions studied

  • Sedentary Lifestyle

Keywords

  • smartphone app, physical activity, older adults
03

In context

Sedentary Behavior

1,273 studies on the registry are indexed under Sedentary Behavior; 300 are open to participants now.

This study's enrollment of 111 is above the median of 60 across 1,076 interventional studies indexed under Sedentary Behavior.

Browse Sedentary Behavior studies →

Lead sponsor

University of Southern California is the lead sponsor of 791 studies on the registry; 136 are open to participants now.

Of its 70 completed or terminated interventional studies of FDA-regulated products, 32 (46%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
65 Years to 84 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • 65-84 years old
  • English speaking
  • reside in Los Angeles
  • score ≥5 on a 6-item cognitive screener
  • report \<150 minutes of moderate to vigorous PA/week as per a single-item screener
  • ambulatory
  • able to safely participate in physical activity as determined by the Revised Physical Activity Readiness Questionnaire (rPARQ) or proof of medical clearance from a physician
  • smartphone owner for ≥3 months
  • observed ability to reliably access and operate a smartphone during orientation.

Exclusion criteria

Exclusion Criteria:

  • ≥85 years old, based on limited smartphone ownership and to reduce sample variability
05

Study design

Phase
Not applicable
Primary purpose
Other
Allocation
Randomized
Intervention model
Factorial assignment
Masking
Double (Investigator, Outcomes assessor)
Enrollment
111 participants (actual)

Study arms

  • Other
    PA App+ On Your Feet+ CoachMe+ Proof Pos

    Participants in this arm will use a basic physical activity (PA) tracker app in conjunction with the following 3 features: (1) "On Your Feet" (sedentary activity monitoring with motivational messaging and peer suggestions); (2) "Coach Me" (tailored messaging to increase the intensity level of everyday activities and overcome barriers); and (3) "Proof Positive" (explicit and implicit messaging to promote positive aging views).

    Other: Physical Activity (PA) Tracker App · Other: On Your Feet · Other: Coach Me · Other: Proof Positive

  • Other
    PA App + On Your Feet + Coach Me

    Participants in this arm will use a basic physical activity (PA) app in conjunction with the following 2 features: (1) "On Your Feet" (sedentary activity monitoring with motivational messaging and peer suggestions); and (2) "Coach Me" (tailored messaging to increase the intensity level of everyday activities and overcome barriers).

    Other: Physical Activity (PA) Tracker App · Other: On Your Feet · Other: Coach Me

  • Other
    PA App + On Your Feet + Proof Positive

    Participants in this arm will use a basic physical activity (PA) tracker app in conjunction with the following 2 features: (1) "On Your Feet" (sedentary activity monitoring with motivational messaging and peer suggestions); and (2) "Proof Positive" (explicit and implicit messaging to promote positive aging views).

    Other: Physical Activity (PA) Tracker App · Other: On Your Feet · Other: Proof Positive

  • Other
    PA App + On Your Feet

    Participants in this arm will use a basic physical activity (PA) tracker app in conjunction with the following feature: (1) "On Your Feet" (sedentary activity monitoring with motivational messaging and peer suggestions).

    Other: Physical Activity (PA) Tracker App · Other: On Your Feet

  • Other
    PA App + Coach Me + Proof Positive

    Participants in this arm will use a basic physical activity (PA) tracker app in conjunction with the following 2 features: (1) "Coach Me" (tailored messaging to increase the intensity level of everyday activities and overcome barriers); and (2) "Proof Positive" (explicit and implicit messaging to promote positive aging views).

    Other: Physical Activity (PA) Tracker App · Other: Coach Me · Other: Proof Positive

  • Other
    PA App + Coach Me

    Participants in this arm will use a basic physical activity (PA) tracker app in conjunction with the following feature: (1) "Coach Me" (tailored messaging to increase the intensity level of everyday activities and overcome barriers).

    Other: Physical Activity (PA) Tracker App · Other: Coach Me

  • Other
    PA App + Proof Positive

    Participants in this arm will use a basic physical activity (PA) tracker app in conjunction with the following feature: (1) "Proof Positive" (explicit and implicit messaging to promote positive aging views).

    Other: Physical Activity (PA) Tracker App · Other: Proof Positive

  • Other
    PA App

    Participants in this arm will use a basic physical activity (PA) tracker app without any additional features.

    Other: Physical Activity (PA) Tracker App

Interventions

  • OtherPhysical Activity (PA) Tracker App

    This PA tracker app auto-monitors PA and provides a text-based summary of goal progress, thereby targeting self-regulation and outcome expectation.

  • OtherOn Your Feet

    On Your Feet is a specialty app feature designed to be paired with a PA tracker app and reduce sedentary activity-a health risk factor largely independent of insufficient PA. This feature utilizes self-regulatory and behavior change techniques including goal-setting, progress feedback, and prompting. Accumulated sedentary activity time is displayed alongside self-selected goals; reminders to stand are sent at a user-specified frequency; and general tips and previously compiled, older adult-identified strategies to reduce sedentary activity are texted. Additionally, messages about the benefits of reducing sedentary activity and overcoming barriers are sent.

  • OtherCoach Me

    Coach Me is a specialty app feature designed to be paired with a PA tracker app and includes daily messages that assist older adults in discovering practical ways to integrate PA into their daily routines and overcoming PA barriers. Blending PA with productive activity facilitates PA engagement in older adults. In Coach Me, suggestions on how to intensify daily activities are tailored based on user selections from an activity inventory. This app feature helps older adults become more active in a minimally intrusive way, while allowing for engagement in productive and meaningful activities. Coach Me asks users to select obstacles to PA encountered in the previous week. Based on those selections, the app sends strategies on how to overcome those barriers, thereby targeting self-efficacy.

  • OtherProof Positive

    Proof Positive is a specialty app feature designed to be paired with a PA tracker app and capitalizes on the beneficial effects that exposure to positive aging messages and stereotypes has on health and PA. When activated, users (a) receive texts describing how old age does not equate to physical inability, (b) obtain information about the benefits of growing older, and (c) are presented with a weekly positive aging stereotype task modeled after a computerized series. This last function exposes users to blocks of "positive priming words." Primers are quickly flashed to allow perception without awareness while users focus on a simple icon that represents PA. Icons are intended to provide an additional PA cue, maintain user interest, and increase the external validity.

06

What researchers measure

Primary outcomes

  1. Daily Steps Change From Baseline to Month 4; Main Effect, and 2- and 3-way Interactions

    Step counts (objective physical activity) were measured using the activPAL thigh-worn accelerometer during a 72-hour monitoring period. Estimated average change is computed as the change in activPAL-tracked mean daily steps at Month 4 relative to baseline; this outcome is analyzed in a linear regression analysis model. All randomized participants who started the intervention and had valid activity monitor data were utilized in the model (ITT analysis)

    Time frame: 72-hour monitoring periods at Month 4 relative to baseline

Secondary outcomes

  1. Daily Sitting Time (activPAL) Change From Baseline to Month 4

    Objective sedentary activity time was measured using the activPAL thigh-worn accelerometer during a 72-hour monitoring period. Expressed as average minutes/day.

    Time frame: 72-hour monitoring periods at Month 4 relative to baseline

  2. Self-reported Physical Activity (PASE) Change From Baseline to Month 4

    Self-reported physical activity will be measured via the Physical Activity Scale for the Elderly (PASE). PASE is a ten-item instrument designed to assess engagement in physical activities commonly pursued by older adults, including those related to leisure, household, and occupational tasks. The tool is a valid and reliable measure of physical activity engagement in the older adult population. Scores range from 0 to 361. Higher scores indicate a higher level of activity.

    Time frame: baseline and 4 months

  3. Gait Speed (4-m Walk Test) Change From Baseline to Month 4

    Functional mobility will be assessed through a four-meter walk test, a commonly used, validated measure of physical and functional performance in older adults.

    Time frame: baseline and 4 months

  4. Self-efficacy for Physical Activity (Health Beliefs Survey) Change From Baseline

    The potential mediators of physical activity self-efficacy, self-regulation, outcome expectation, and social support will each be measured separately using subscales of the 78-item physical activity portion of the Health Beliefs Survey. Subscales demonstrate sufficient internal consistencies (Cronbach's α=0.68-0.90) and are predictive of physical activity. Higher scores indicate greater self-efficacy. Possible scores for the self-efficacy subscale range from 0-100.

    Time frame: baseline and 4 months

  5. Self-regulation of Physical Activity (Health Beliefs Survey Physical Activity Portion) Change From Baseline

    The potential mediators of physical activity self-efficacy, self-regulation, outcome expectation, and social support will each be measured separately using subscales of the 78-item physical activity portion of the Health Beliefs Survey. Subscales demonstrate sufficient internal consistencies (Cronbach's α=0.68-0.90) and are predictive of physical activity. Higher scores indicate greater self-regulation behaviors. Possible scores for the self-regulation subscale range from 1-5.

    Time frame: baseline and 4 months

  6. Family Social Support for Physical Activity (Health Beliefs Survey Physical Activity Portion) Change From Baseline

    The potential mediators of physical activity self-efficacy, self-regulation, outcome expectation, and social support will each be measured separately using subscales of the 78-item physical activity portion of the Health Beliefs Survey. Subscales demonstrate sufficient internal consistencies (Cronbach's α=0.68-0.90) and are predictive of physical activity. Higher scores indicate greater family social support for physical activity. Possible scores for the family social support subscale range from 1 - 5.

    Time frame: baseline and 4 months

  7. Outcome Expectation for Physical Activity (Health Beliefs Survey Physical Activity Portion) Change From Baseline

    The potential mediators of physical activity self-efficacy, self-regulation, outcome expectation, and social support will each be measured separately using subscales of the 78-item physical activity portion of the Health Beliefs Survey. Subscales demonstrate sufficient internal consistencies (Cronbach's α=0.68-0.90) and are predictive of physical activity. Higher scores indicate greater outcome expectations. Possible scores for the outcome expectation subscale range from 1-25

    Time frame: baseline and 4 months

  8. Aging Self-perceptions (Attitudes Toward Own Aging) Change From Baseline

    Aging self-perceptions will be assessed by the Attitudes Toward Own Aging subscale of the Philadelphia Geriatrics Center Morale Scale. This five-question tool captures the subjective aging experience, shows moderate internal consistency (Cronbach's α=0.61-0.64), and predicts mortality risk. Scores can range from 0 to 5. A higher score indicates more positive aging self-perceptions.

    Time frame: baseline and 4 months

  9. Views of Aging--Psychosocial Loss (Attitudes to Ageing Questionnaire) Change From Baseline

    Views of aging will be measured using the Attitudes to Ageing Questionnaire. This 24-item assessment identifies subjective views about age-related changes in multiple domains, is cross-culturally valid, and is psychometrically sound (Cronbach's α=0.68-0.84). Its subscales include psychosocial loss, physical change, and psychological growth. A higher score for psychosocial loss indicates more negative attitude (min 8; max 40).

    Time frame: baseline and 4 months

  10. Views of Aging--Physical Change (Attitudes to Ageing Questionnaire) Change From Baseline

    Views of aging will be measured using the Attitudes to Ageing Questionnaire. This 24-item assessment identifies subjective views about age-related changes in multiple domains, is cross-culturally valid, and is psychometrically sound (Cronbach's α=0.68-0.84). Its subscales include psychosocial loss, physical change, and psychological growth. A higher score on physical change indicates more positive attitude (min 8; max 40)

    Time frame: baseline and 4 months

  11. Views of Aging--Psychological Growth (Attitudes to Ageing Questionnaire) Change From Baseline

    Views of aging will be measured using the Attitudes to Ageing Questionnaire. This 24-item assessment identifies subjective views about age-related changes in multiple domains, is cross-culturally valid, and is psychometrically sound (Cronbach's α=0.68-0.84). Its subscales include psychosocial loss, physical change, and psychological growth. A higher score on psychological growth indicates more positive attitude (min 8; max 40).

    Time frame: baseline and 4 months

  12. App Usage Behavior

    Usage behavior is defined as the proportion of days the app was opened across the 4-month trial period

    Time frame: from baseline through Month 4 (daily)

  13. Perceived App Quality (uMARS)

    The Mobile App Rating Scale User Version (uMARS) was used to measure user satisfaction with the app, particularly participant's ratings for app quality. The uMARS includes a usability feedback subindex which is comprised of the average of item responses for 4 subsections (engagement, functionality, aesthetics, information), to yield a total quality score. Ratings are on a scale of 1 (low perceived quality, min) to 5 (high perceived quality, max).

    Time frame: 4 months

Other outcomes

  1. Correlation of Change in Daily Steps to Change in Hypothesized Mediators

    Spearman Correlation coefficients were calculated to assess correlations between change in the primary outcome (change in daily steps) and change in hypothesized mediators (i.e., Self-efficacy for Physical Activity Change, Self-regulation of Physical Activity Change, Family Social Support for Physical Activity Change, Outcome Expectation for Physical Activity Change, Aging Self-perceptions (Attitude Toward Own Aging) Change, Views of Aging--Psychosocial Loss Change, Views of Aging--Physical Change Change, Views of Aging--Psychological Growth Change).

    Time frame: baseline to Month 4 change

07

Results

Posted Nov 21, 2022

Participant flow

197 screened for eligibility. 111 signed consent. 107 were randomized. 105 included in intent-to-treat analysis.

Participant flow — Overall Study
MilestoneAT App+ On Your Feet+ CoachMe+ Proof PosAT App + On Your Feet + Coach MeAT App + On Your Feet + Proof PositiveAT App + On Your FeetAT App + Coach Me + Proof PositiveAT App + Coach MeAT App + Proof PositiveAT App
Started1313141414121512
Non-completer but included in itt11112001
Non-completer but not included in itt10100000
Completed1112121312121511
Not completed21212001
Withdrew: Lost to follow-up01001000
Withdrew: Withdrawal by subject20211001

Outcome measures

PrimaryDaily Steps Change From Baseline to Month 4; Main Effect, and 2- and 3-way Interactions

Step counts (objective physical activity) were measured using the activPAL thigh-worn accelerometer during a 72-hour monitoring period. Estimated average change is computed as the change in activPAL-tracked mean daily steps at Month 4 relative to baseline; this outcome is analyzed in a linear regression analysis model. All randomized participants who started the intervention and had valid activity monitor data were utilized in the model (ITT analysis)

Time frame:
72-hour monitoring periods at Month 4 relative to baseline
Reported as:
Mean · Average change in steps per day
Daily Steps Change From Baseline to Month 4; Main Effect, and 2- and 3-way Interactions
Average change in steps per dayProof Positive OnProof Positive OffCoach Me OnCoach Me OffOn Your Feet OnOn Your Feet Off
Daily Steps Change From Baseline to Month 4; Main Effect, and 2- and 3-way Interactions-343.5 ± 2689.5-324.5 ± 2263.1-859.9 ± 2588.6149.5 ± 2289.6-424.8 ± 2101.2-243.5 ± 2822.8
Statistical analysis
  • Proof Positive On · Mixed Models Analysis · p = .37 (A single model was run including variables indicating Proof Positive (yes/no), Coach Me (yes/no), and On Your Feet (yes/no) and their interaction terms.) · Estimated mean change: -898.0 · 95% CI -2884.82 to 1088.82
  • Coach Me On · Mixed Models Analysis · p = .02 (A single model was run including variables indicating Proof Positive (yes/no), Coach Me (yes/no), and On Your Feet (yes/no) and their interaction terms.) · Estimated mean change: -2602.1 · 95% CI -4687.44 to -516.69
  • On Your Feet On · Mixed Models Analysis · p = .23 · Estimated mean change: -1244.9 · 95% CI -3287.60 to 797.85
  • Proof Positive On vs Coach Me On · Mixed Models Analysis · p = 0.31 · Estimated mean change: 1468.5 · 95% CI -1368.93 to 4306.02
  • Proof Positive On vs On Your Feet On · Mixed Models Analysis · p = 0.78 · Estimated mean change: 388.1 · 95% CI -2397.51 to 3173.62
  • Coach Me On vs On Your Feet On · Mixed Models Analysis · p = 0.17 · Estimated mean change: 1991.2 · 95% CI -865.52 to 4847.86
  • Proof Positive On vs Coach Me On vs On Your Feet On · Mixed Models Analysis · p = 0.77 · Estimated mean change: -590.7 · 95% CI -4591.17 to 3409.75
SecondaryDaily Sitting Time (activPAL) Change From Baseline to Month 4

Objective sedentary activity time was measured using the activPAL thigh-worn accelerometer during a 72-hour monitoring period. Expressed as average minutes/day.

Time frame:
72-hour monitoring periods at Month 4 relative to baseline
Reported as:
Mean · Change in minutes/day
Daily Sitting Time (activPAL) Change From Baseline to Month 4
Change in minutes/dayProof Positive OnProof Positive OffCoach Me OnCoach Me OffOn Your Feet OnOn Your Feet Off
Daily Sitting Time (activPAL) Change From Baseline to Month 4-11.6 ± 108.111.4 ± 128.919.3 ± 123.6-18.4 ± 112.225.7 ± 117.3-26.3 ± 115.5
Statistical analysis
  • Proof Positive On vs Proof Positive Off · t-test, 1 sided · p = 0.17 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): -23
  • Coach Me On vs Coach Me Off · t-test, 1 sided · p = 0.94 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): 37.7
  • On Your Feet On vs On Your Feet Off · t-test, 1 sided · p = 0.99 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): 52.0
SecondarySelf-reported Physical Activity (PASE) Change From Baseline to Month 4

Self-reported physical activity will be measured via the Physical Activity Scale for the Elderly (PASE). PASE is a ten-item instrument designed to assess engagement in physical activities commonly pursued by older adults, including those related to leisure, household, and occupational tasks. The tool is a valid and reliable measure of physical activity engagement in the older adult population. Scores range from 0 to 361. Higher scores indicate a higher level of activity.

Time frame:
baseline and 4 months
Reported as:
Mean · score on a scale
Self-reported Physical Activity (PASE) Change From Baseline to Month 4
score on a scaleProof Positive OnProof Positive OffCoach Me OnCoach Me OffOn Your Feet OnOn Your Feet Off
Self-reported Physical Activity (PASE) Change From Baseline to Month 44.0 ± 41.63.2 ± 59.36.2 ± 44.21.2 ± 56.55.6 ± 54.41.7 ± 47.5
Statistical analysis
  • Proof Positive On vs Proof Positive Off · t-test, 1 sided · p = 0.47 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): .8
  • Coach Me On vs Coach Me Off · t-test, 1 sided · p = 0.315 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): 5
  • On Your Feet On vs On Your Feet Off · t-test, 1 sided · p = 0.355 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): 3.9
SecondaryGait Speed (4-m Walk Test) Change From Baseline to Month 4

Functional mobility will be assessed through a four-meter walk test, a commonly used, validated measure of physical and functional performance in older adults.

Time frame:
baseline and 4 months
Reported as:
Mean · meters/second
Gait Speed (4-m Walk Test) Change From Baseline to Month 4
meters/secondProof Positive OnProof Positive OffCoach Me OnCoach Me OffOn Your Feet OnOn Your Feet Off
Gait Speed (4-m Walk Test) Change From Baseline to Month 4-0.7 ± 0.9-0.1 ± 1.0-0.2 ± 1.2-0.4 ± 0.9-0.5 ± 1.0-0.2 ± 1.0
Statistical analysis
  • Proof Positive On vs Proof Positive Off · t-test, 1 sided · p = 0.86 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): -.6
  • Coach Me On vs Coach Me Off · t-test, 1 sided · p = 0.38 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): .2
  • On Your Feet On vs On Your Feet Off · t-test, 1 sided · p = 0.66 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): -.3
SecondarySelf-efficacy for Physical Activity (Health Beliefs Survey) Change From Baseline

The potential mediators of physical activity self-efficacy, self-regulation, outcome expectation, and social support will each be measured separately using subscales of the 78-item physical activity portion of the Health Beliefs Survey. Subscales demonstrate sufficient internal consistencies (Cronbach's α=0.68-0.90) and are predictive of physical activity. Higher scores indicate greater self-efficacy. Possible scores for the self-efficacy subscale range from 0-100.

Time frame:
baseline and 4 months
Reported as:
Mean · units on a scale
Self-efficacy for Physical Activity (Health Beliefs Survey) Change From Baseline
units on a scaleProof Positive OnProof Positive OffCoach Me OnCoach Me OffOn Your Feet OnOn Your Feet Off
Self-efficacy for Physical Activity (Health Beliefs Survey) Change From Baseline-4.8 ± 18.5-2.9 ± 19.8-4.4 ± 17.4-3.4 ± 20.7-1.4 ± 16.7-6.2 ± 21
Statistical analysis
  • Proof Positive On vs Proof Positive Off · t-test, 1 sided · p = 0.69 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): -1.9
  • Coach Me On vs Coach Me Off · t-test, 1 sided · p = 0.60 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): -1.0
  • On Your Feet On vs On Your Feet Off · t-test, 1 sided · p = 0.11 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): 4.8
SecondarySelf-regulation of Physical Activity (Health Beliefs Survey Physical Activity Portion) Change From Baseline

The potential mediators of physical activity self-efficacy, self-regulation, outcome expectation, and social support will each be measured separately using subscales of the 78-item physical activity portion of the Health Beliefs Survey. Subscales demonstrate sufficient internal consistencies (Cronbach's α=0.68-0.90) and are predictive of physical activity. Higher scores indicate greater self-regulation behaviors. Possible scores for the self-regulation subscale range from 1-5.

Time frame:
baseline and 4 months
Reported as:
Mean · score on a scale
Self-regulation of Physical Activity (Health Beliefs Survey Physical Activity Portion) Change From Baseline
score on a scaleProof Positive OnProof Positive OffCoach Me OnCoach Me OffOn Your Feet OnOn Your Feet Off
Self-regulation of Physical Activity (Health Beliefs Survey Physical Activity Portion) Change From Baseline0.8 ± 1.01.2 ± 1.00.9 ± 1.01.0 ± 1.11.1 ± 1.20.9 ± 0.9
Statistical analysis
  • Proof Positive On vs Proof Positive Off · t-test, 1 sided · p = 0.94 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): -0.4
  • Coach Me On vs Coach Me Off · t-test, 1 sided · p = 0.73 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): -0.1
  • On Your Feet On vs On Your Feet Off · t-test, 1 sided · p = 0.22 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): 0.2
SecondaryFamily Social Support for Physical Activity (Health Beliefs Survey Physical Activity Portion) Change From Baseline

The potential mediators of physical activity self-efficacy, self-regulation, outcome expectation, and social support will each be measured separately using subscales of the 78-item physical activity portion of the Health Beliefs Survey. Subscales demonstrate sufficient internal consistencies (Cronbach's α=0.68-0.90) and are predictive of physical activity. Higher scores indicate greater family social support for physical activity. Possible scores for the family social support subscale range from 1 - 5.

Time frame:
baseline and 4 months
Reported as:
Mean · score on a scale
Family Social Support for Physical Activity (Health Beliefs Survey Physical Activity Portion) Change From Baseline
score on a scaleProof Positive OnProof Positive OffCoach Me OnCoach Me OffOn Your Feet OnOn Your Feet Off
Family Social Support for Physical Activity (Health Beliefs Survey Physical Activity Portion) Change From Baseline0.2 ± 1.20.2 ± 1.3-0.0 ± 1.10.4 ± 1.30.2 ± 1.10.2 ± 1.4
Statistical analysis
  • Proof Positive On vs Proof Positive Off · t-test, 1 sided · p = 0.46 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): 0.0
  • Coach Me On vs Coach Me Off · t-test, 1 sided · p = 0.96 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): -0.4
  • On Your Feet On vs On Your Feet Off · t-test, 1 sided · p = 0.495 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): 0.0
SecondaryOutcome Expectation for Physical Activity (Health Beliefs Survey Physical Activity Portion) Change From Baseline

The potential mediators of physical activity self-efficacy, self-regulation, outcome expectation, and social support will each be measured separately using subscales of the 78-item physical activity portion of the Health Beliefs Survey. Subscales demonstrate sufficient internal consistencies (Cronbach's α=0.68-0.90) and are predictive of physical activity. Higher scores indicate greater outcome expectations. Possible scores for the outcome expectation subscale range from 1-25

Time frame:
baseline and 4 months
Reported as:
Mean · score on a scale
Outcome Expectation for Physical Activity (Health Beliefs Survey Physical Activity Portion) Change From Baseline
score on a scaleProof Positive OnProof Positive OffCoach Me OnCoach Me OffOn Your Feet OnOn Your Feet Off
Outcome Expectation for Physical Activity (Health Beliefs Survey Physical Activity Portion) Change From Baseline-0.4 ± 4.2-0.5 ± 4.8-1.1 ± 4.00.2 ± 4.8-0.1 ± 3.8-0.8 ± 5.0
Statistical analysis
  • Proof Positive On vs Proof Positive Off · t-test, 1 sided · p = 0.445 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): 0.1
  • Coach Me On vs Coach Me Off · t-test, 1 sided · p = 0.92 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): -1.3
  • On Your Feet On vs On Your Feet Off · t-test, 1 sided · p = 0.23 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): 0.7
SecondaryAging Self-perceptions (Attitudes Toward Own Aging) Change From Baseline

Aging self-perceptions will be assessed by the Attitudes Toward Own Aging subscale of the Philadelphia Geriatrics Center Morale Scale. This five-question tool captures the subjective aging experience, shows moderate internal consistency (Cronbach's α=0.61-0.64), and predicts mortality risk. Scores can range from 0 to 5. A higher score indicates more positive aging self-perceptions.

Time frame:
baseline and 4 months
Reported as:
Mean · score on a scale
Aging Self-perceptions (Attitudes Toward Own Aging) Change From Baseline
score on a scaleProof Positive OnProof Positive OffCoach Me OnCoach Me OffOn Your Feet OnOn Your Feet Off
Aging Self-perceptions (Attitudes Toward Own Aging) Change From Baseline0.2 ± 1.10.4 ± 1.10.1 ± 0.90.5 ± 1.30.4 ± 1.20.2 ± 1.0
Statistical analysis
  • Proof Positive On vs Proof Positive Off · t-test, 1 sided · p = 0.78 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): -0.2
  • Coach Me On vs Coach Me Off · t-test, 1 sided · p = 0.98 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): -0.4
  • On Your Feet On vs On Your Feet Off · t-test, 1 sided · p = 0.13 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): 0.2
SecondaryViews of Aging--Psychosocial Loss (Attitudes to Ageing Questionnaire) Change From Baseline

Views of aging will be measured using the Attitudes to Ageing Questionnaire. This 24-item assessment identifies subjective views about age-related changes in multiple domains, is cross-culturally valid, and is psychometrically sound (Cronbach's α=0.68-0.84). Its subscales include psychosocial loss, physical change, and psychological growth. A higher score for psychosocial loss indicates more negative attitude (min 8; max 40).

Time frame:
baseline and 4 months
Reported as:
Mean · score on a scale
Views of Aging--Psychosocial Loss (Attitudes to Ageing Questionnaire) Change From Baseline
score on a scaleProof Positive OnProof Positive OffCoach Me OnCoach Me OffOn Your Feet OnOn Your Feet Off
Views of Aging--Psychosocial Loss (Attitudes to Ageing Questionnaire) Change From Baseline-0.6 ± 3.8-0.1 ± 4.8-0.3 ± 5.0-0.3 ± 3.60.3 ± 4.0-0.9 ± 4.5
Statistical analysis
  • Proof Positive On vs Proof Positive Off · t-test, 1 sided · p = 0.285 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): -0.5
  • Coach Me On vs Coach Me Off · t-test, 1 sided · p = 0.50 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): 0.0
  • On Your Feet On vs On Your Feet Off · t-test, 1 sided · p = 0.92 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): 1.2
SecondaryViews of Aging--Physical Change (Attitudes to Ageing Questionnaire) Change From Baseline

Views of aging will be measured using the Attitudes to Ageing Questionnaire. This 24-item assessment identifies subjective views about age-related changes in multiple domains, is cross-culturally valid, and is psychometrically sound (Cronbach's α=0.68-0.84). Its subscales include psychosocial loss, physical change, and psychological growth. A higher score on physical change indicates more positive attitude (min 8; max 40)

Time frame:
baseline and 4 months
Reported as:
Mean · score on a scale
Views of Aging--Physical Change (Attitudes to Ageing Questionnaire) Change From Baseline
score on a scaleProof Positive OnProof Positive OffCoach Me OnCoach Me OffOn Your Feet OnOn Your Feet Off
Views of Aging--Physical Change (Attitudes to Ageing Questionnaire) Change From Baseline0.6 ± 4.20.4 ± 4.10.1 ± 3.20.9 ± 4.90.5 ± 4.60.6 ± 3.7
Statistical analysis
  • Proof Positive On vs Proof Positive Off · t-test, 1 sided · p = 0.42 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): 0.2
  • Coach Me On vs Coach Me Off · t-test, 1 sided · p = 0.82 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): -0.8
  • On Your Feet On vs On Your Feet Off · t-test, 1 sided · p = 0.58 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): -0.1
SecondaryViews of Aging--Psychological Growth (Attitudes to Ageing Questionnaire) Change From Baseline

Views of aging will be measured using the Attitudes to Ageing Questionnaire. This 24-item assessment identifies subjective views about age-related changes in multiple domains, is cross-culturally valid, and is psychometrically sound (Cronbach's α=0.68-0.84). Its subscales include psychosocial loss, physical change, and psychological growth. A higher score on psychological growth indicates more positive attitude (min 8; max 40).

Time frame:
baseline and 4 months
Reported as:
Mean · score on a scale
Views of Aging--Psychological Growth (Attitudes to Ageing Questionnaire) Change From Baseline
score on a scaleProof Positive OnProof Positive OffCoach Me OnCoach Me OffOn Your Feet OnOn Your Feet Off
Views of Aging--Psychological Growth (Attitudes to Ageing Questionnaire) Change From Baseline0.0 ± 4.0-0.1 ± 3.9-0.0 ± 3.7-0.0 ± 4.1-0.1 ± 4.10.1 ± 3.7
Statistical analysis
  • Proof Positive On vs Proof Positive Off · t-test, 1 sided · p = 0.45 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): 0.1
  • Coach Me On vs Coach Me Off · t-test, 1 sided · p = 0.49 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): 0.0
  • On Your Feet On vs On Your Feet Off · t-test, 1 sided · p = 0.61 (a priori threshold for statistical significance=0.1 for 1-sided t-test; no adjustments for multiple comparisons made; if the outcome is not in the hypothesized direction, values that meet or exceed the 0.1 threshold will not be considered significant) · Mean difference (net): -0.2
SecondaryApp Usage Behavior

Usage behavior is defined as the proportion of days the app was opened across the 4-month trial period

Time frame:
from baseline through Month 4 (daily)
Reported as:
Mean · proportion of days
App Usage Behavior
proportion of daysProof Positive OnProof Positive OffCoach Me OnCoach Me OffOn Your Feet OnOn Your Feet Off
App Usage Behavior0.73 ± 0.280.68 ± 0.290.71 ± 0.290.71 ± 0.280.68 ± 0.300.73 ± 0.27
Statistical analysis
  • Proof Positive On vs Proof Positive Off · t-test, 2 sided · p = .84
  • Coach Me On vs Coach Me Off · t-test, 2 sided · p = .96
  • On Your Feet On vs On Your Feet Off · t-test, 2 sided · p = .41
SecondaryPerceived App Quality (uMARS)

The Mobile App Rating Scale User Version (uMARS) was used to measure user satisfaction with the app, particularly participant's ratings for app quality. The uMARS includes a usability feedback subindex which is comprised of the average of item responses for 4 subsections (engagement, functionality, aesthetics, information), to yield a total quality score. Ratings are on a scale of 1 (low perceived quality, min) to 5 (high perceived quality, max).

Time frame:
4 months
Reported as:
Mean · score on a scale
Perceived App Quality (uMARS)
score on a scaleProof Positive OnProof Positive OffCoach Me OnCoach Me OffOn Your Feet OnOn Your Feet Off
Perceived App Quality (uMARS)3.8 ± 0.54.0 ± 0.63.9 ± 0.54.0 ± 0.54.0 ± 0.53.9 ± 0.5
Statistical analysis
  • Proof Positive On vs Proof Positive Off · t-test, 2 sided · p = .13
  • Coach Me On vs Coach Me Off · t-test, 2 sided · p = 0.20
  • On Your Feet On vs On Your Feet Off · t-test, 2 sided · p = 0.39
Other pre-specifiedCorrelation of Change in Daily Steps to Change in Hypothesized Mediators

Spearman Correlation coefficients were calculated to assess correlations between change in the primary outcome (change in daily steps) and change in hypothesized mediators (i.e., Self-efficacy for Physical Activity Change, Self-regulation of Physical Activity Change, Family Social Support for Physical Activity Change, Outcome Expectation for Physical Activity Change, Aging Self-perceptions (Attitude Toward Own Aging) Change, Views of Aging--Psychosocial Loss Change, Views of Aging--Physical Change Change, Views of Aging--Psychological Growth Change).

Time frame:
baseline to Month 4 change
Reported as:
Median · change in daily steps
Correlation of Change in Daily Steps to Change in Hypothesized Mediators
change in daily stepsTotal Participants
Self-efficacy for Physical Activity Change-4.8 (-57.8 to 50.0)
Self-regulation of Physical Activity Change0.8 (-0.8 to 4.0)
Family Social Support for Physical Activity Change0.1 (-3.3 to 3.9)
Outcome Expectation for Physical Activity Change0.0 (-12.8 to 15.4)
Aging Self-perceptions (Attitude Toward Own Aging) Change0.0 (-3.0 to 3.0)
Views of Aging--Psychosocial Loss Change0.0 (-22.0 to 10.0)
Views of Aging--Physical Change Change0.0 (-15.0 to 13.0)
Views of Aging--Psychological Growth Change0.0 (-10.0 to 8.0)
Statistical analysis
  • Total Participants · t distribution with n-2 degrees of freed · p = 0.3116 · Spearman correlation: -0.10435
  • Total Participants · t distribution with n-2 degrees of freed · p = 0.0838 · Spearman correlation: 0.17742
  • Total Participants · t distribution with n-2 degrees of freed · p = 0.3510 · Spearman correlation: -0.09834
  • Total Participants · t distribution with n-2 degrees of freed · p = 0.6659 · Spearman correlation: -0.04562
  • Total Participants · t distribution with n-2 degrees of freed · p = 0.6402 · Spearman correlation: -0.04831
  • Total Participants · t distribution with n-2 degrees of freed · p = 0.2048 · Spearman correlation: 0.13128
  • Total Participants · t distribution with n-2 degrees of freed · p = 0.3445 · Spearman correlation: 0.10022
  • Total Participants · t distribution with n-2 degrees of freed · p = 0.9340 · Spearman correlation: -0.00866

Adverse events

Collected over Adverse events were reported to the PI within 24 hours of their occurrence across the 4-month trial.. Non-serious events are listed at a 0% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
AT App + On Your Feet+ CoachMe+ Proof Pos0/12 (0%)0/12 (0%)0/12 (0%)
AT App + On Your Feet + Coach Me0/13 (0%)0/13 (0%)0/13 (0%)
AT App + On Your Feet + Proof Positive0/13 (0%)0/13 (0%)0/13 (0%)
AT App + On Your Feet0/14 (0%)0/14 (0%)0/14 (0%)
AT App + Coach Me + Proof Positive0/14 (0%)0/14 (0%)0/14 (0%)
AT App + Coach Me0/12 (0%)0/12 (0%)1/12 (8.3%)
AT App + Proof Positive0/15 (0%)0/15 (0%)0/15 (0%)
AT App0/12 (0%)0/12 (0%)0/12 (0%)
Most frequent other events
Most frequent other events
EventAT App + On Your Feet+ CoachMe+ Proof PosAT App + On Your Feet + Coach MeAT App + On Your Feet + Proof PositiveAT App + On Your FeetAT App + Coach Me + Proof PositiveAT App + Coach MeAT App + Proof PositiveAT App
Excessive weight lossNervous system disorders0/120/130/130/140/141/120/150/12

Baseline characteristics

Age, Continuous
Age, Continuous(years)AT App + On Your Feet+ CoachMe+ Proof PosAT App + On Your Feet + Coach MeAT App + On Your Feet + Proof PositiveAT App + On Your FeetAT App + Coach Me + Proof PositiveAT App + Coach MeAT App + Proof PositiveAT AppTotal
Mean70.4 ± 5.372.1 ± 4.271.6 ± 3.472.7 ± 4.671.5 ± 4.372.2 ± 4.272.4 ± 4.274.4 ± 6.472.2 ± 4.6
Sex: Female, Male
Sex: Female, Male(Participants)AT App + On Your Feet+ CoachMe+ Proof PosAT App + On Your Feet + Coach MeAT App + On Your Feet + Proof PositiveAT App + On Your FeetAT App + Coach Me + Proof PositiveAT App + Coach MeAT App + Proof PositiveAT AppTotal
Female88108911121177
Male4536513128
Ethnicity (NIH/OMB)
Ethnicity (NIH/OMB)(Participants)AT App + On Your Feet+ CoachMe+ Proof PosAT App + On Your Feet + Coach MeAT App + On Your Feet + Proof PositiveAT App + On Your FeetAT App + Coach Me + Proof PositiveAT App + Coach MeAT App + Proof PositiveAT AppTotal
Hispanic or Latino101010025
Not Hispanic or Latino11131114131215998
Unknown or Not Reported001000012
Race (NIH/OMB)
Race (NIH/OMB)(Participants)AT App + On Your Feet+ CoachMe+ Proof PosAT App + On Your Feet + Coach MeAT App + On Your Feet + Proof PositiveAT App + On Your FeetAT App + Coach Me + Proof PositiveAT App + Coach MeAT App + Proof PositiveAT AppTotal
American Indian or Alaska Native000000000
Asian1214301113
Native Hawaiian or Other Pacific Islander000000000
Black or African American4444135328
White77861099864
More than one race000000000
Unknown or Not Reported000000000
Region of Enrollment
Region of Enrollment(Participants)AT App + On Your Feet+ CoachMe+ Proof PosAT App + On Your Feet + Coach MeAT App + On Your Feet + Proof PositiveAT App + On Your FeetAT App + Coach Me + Proof PositiveAT App + Coach MeAT App + Proof PositiveAT AppTotal
United States1213131414121512105
Education
Education(Participants)AT App + On Your Feet+ CoachMe+ Proof PosAT App + On Your Feet + Coach MeAT App + On Your Feet + Proof PositiveAT App + On Your FeetAT App + Coach Me + Proof PositiveAT App + Coach MeAT App + Proof PositiveAT AppTotal
High school or some college/trade school3721314425
College graduate961113111111880
Self-rated smartphone ability
Self-rated smartphone ability(units on a scale)AT App + On Your Feet+ CoachMe+ Proof PosAT App + On Your Feet + Coach MeAT App + On Your Feet + Proof PositiveAT App + On Your FeetAT App + Coach Me + Proof PositiveAT App + Coach MeAT App + Proof PositiveAT AppTotal
Mean7.6 ± 1.87.2 ± 2.77.2 ± 1.37.1 ± 1.47.8 ± 2.16.5 ± 1.57.0 ± 2.16.3 ± 2.17.1 ± 1.9
Health Conditions
Health Conditions(Participants)AT App + On Your Feet+ CoachMe+ Proof PosAT App + On Your Feet + Coach MeAT App + On Your Feet + Proof PositiveAT App + On Your FeetAT App + Coach Me + Proof PositiveAT App + Coach MeAT App + Proof PositiveAT AppTotal
Arthritis3277358338
Cancer1421453323
Depression1332044219
High blood pressure6677444543
High cholesterol6786454545
Diabetes1321330114
08

Study locations

2 sites
  • Front Porch Center for Innovation and Wellbeing
    Glendale, California 91203, United States
  • University of Southern California
    Los Angeles, California 90089-9003, United States
09

References and documents

Study documents

PDFs hosted by the registry, ClinicalTrials.gov.

Individual participant data

Plan to share: Yes — This proposal does not involve a multisite trial. The University of Southern California is the only project site. Funds greater than $500,000 are not requested and thus data-sharing is not required. The final results and dataset of the project, however, will be published and shared according to the NIH regulations in order to improve the transparency of the research.

Time frame: Final results and dataset will be made available no later than the publication of the main findings from the final dataset. The data will remain in the repository indefinitely.

Access criteria: Persons accessing the data through the repository must agree to certain terms of use to include the following: (1) must use data for research purposes only and not for investigation of specific research subjects; (2) must make no use of the identity of any research subject discovered inadvertently, and to advise the repository of any such discovery; (3) must agree not to redistribute data or other materials without the written agreement; and (4) must reference the recommended bibliographic citation in any publication that employs resources provided by the repository. Authors of publications based on shared data are required to send citations of their published works to the repository for inclusion in a database of related publications.

10

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Nov 21, 2022, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
11

Registry details

Key details

Study ID
NCT03417440
Responsible party
Stacey L. Schepens Niemiec (Assistant Professor of Research, University of Southern California) — Principal investigator
First posted
Jan 31, 2018
Start date
Apr 23, 2018
Primary completion
Jan 12, 2021
Completion
Jan 12, 2021
Results posted
Nov 21, 2022
Last update
Nov 21, 2022

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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