Skip to content

Behavioral Economic Approaches to Increase Physical Activity Among Patients With Elevated Risk for Cardiovascular Disease

Behavioral Economic Approaches to Increase Physical Activity Among Patients With Elevated Risk for Cardiovascular Disease

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03911141
Acronym
BE ACTIVE
Enrollment
1062
Registered
2019-04-10
Start date
2019-04-12
Completion date
2024-01-27
Last updated
2025-01-27

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

Conditions

Atherosclerotic Cardiovascular Disease

Brief summary

The objective of this study is to use a randomized, controlled trial to test the effectiveness of using gamification, financial incentives, or both to increase physical activity among patients with elevated risk for atherosclerotic cardiovascular disease (ASCVD). ASCVD is the leading cause of morbidity and mortality in the United States. Regular physical activity has been shown to reduce the risk of ASCVD, but less than 50% of US adults achieve enough physical activity to obtain these benefits.

Detailed description

Atherosclerotic cardiovascular disease (ASCVD) is the leading cause of morbidity and mortality in the United States (US). Regular physical activity has been demonstrated to reduce the risk of ASCVD and is associated with a number of other health benefits. Yet, less than 50% of adults in the US achieve enough physical activity to actually obtain these benefits. Insights from behavioral economics have been shown to both better reflect the 'predictable irrationality' of humans and to be effective in designing interventions that achieve sustained improvements in health behavior. Our prior work has demonstrated that interventions using financial incentives and gamification can leverage principles from behavioral economics to increase physical activity during 3-month interventions and sustain effects in 3-month follow-up periods. These findings warrant further investigation of longer-term effects. In this study, we conduct a four-arm randomized, controlled trial to evaluate the effectiveness of using behavioral economic approaches including gamification, financial incentives, or both to increase physical activity among patients with elevated risk for atherosclerotic cardiovascular disease during a 12-month intervention with a 6-month follow-up.

Interventions

BEHAVIORALGamification

Participants have an 8-week ramp-up period where daily goals increase from baseline to the step target, and sign a pledge agreeing to try their best to meet their goals. Participants are entered into a game. Each week they receive 70 points. Each day they're told their step count and points. If the step goal was met they keep their points, but if not, they lose 10 points. At the end of the week if they have at least 40 points they move up a level, but if not, they drop a level. Participants start in the middle of 5 levels. Participants choose a support partner who gets a weekly email with the participant's progress. We hold a 3-way phone call with the participant and supportive sponsor to discuss ways they can help the participant meet their goal. Every 8 weeks, have a follow up call if the participant is stuck in a lower level and restart them back at the middle level. In the follow-up period, participants continue to get a daily text stating if they met their step goal.

BEHAVIORALFinancial

Participants are informed that each week money is placed in a virtual account for them. Each day the participant is informed of their step count on the prior day. If the step goal was achieved, the balance remains. Each day the goal is not achieved, the participant is informed that some of the money was taken away. We will use an 8-week ramp-up period in which daily goals are increased gradually from baseline to targets. During the follow-up period, participants in this arm will continue to receive a daily text message stating whether or not they achieved their step goal on the prior day.

Sponsors

University of Pennsylvania
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
DOUBLE (Investigator, Outcomes Assessor)

Eligibility

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

Inclusion criteria

* Age 18 years or older * Have a 10-year ASCVD risk score of 7.5% or greater (including those with existing ASCVD) * Are able to provide informed consent

Exclusion criteria

* Are already participating in another physical activity study * An 18-month physical activity program is infeasible (e.g. metastatic cancer; unable to ambulate or provide informed consent) or unsafe (currently pregnant or told by a physician not to exercise) * They do not have a device (e.g. smartphone, tablet, or computer) to transmit data from the wearable activity tracker * Baseline step count is 7,500 or greater * They do not have a primary care physician in the University of Pennsylvania Health System.

Design outcomes

Primary

MeasureTime frameDescription
Change in Mean Daily Step Counts During the 12 Month Intervention Using a Wearable Pedometer (Fitbit Watch) to Measure Step Count.Months 1-12Change in mean daily steps counts from baseline to the 12-month intervention period, excluding the 8-week ramp-up phase. This will be measured using the Fitbit Charge wearable device.

Secondary

MeasureTime frameDescription
Change in Mean Daily Step Counts During the 6 Month Follow-up Using a Wearable Pedometer (Fitbit Watch) to Measure Step Count.Months 1-18Change in mean daily steps from baseline to the post-intervention follow-up period. This will be measured using the Fitbit Charge wearable device.
Change in Mean Daily Minutes of Moderate to Vigorous Physical Activity (MVPA) During the 12 Month Intervention Using a Wearable Device (Fitbit Watch) to Measure MVPA Derived From Step Counts.Months 1-12Change in mean daily minutes of MVPA from baseline to the intervention period, excluding the 8-week ramp up phase. This will be measured using the Fitbit Charge wearable device.
Change in Mean Daily Minutes of Moderate to Vigorous Physical Activity (MVPA) During the 6 Month Follow-up Using a Wearable Device (Fitbit Watch) to Measure MVPA Derived From Step Counts.Months 1-18Change in mean daily minutes of MVPA from baseline to the post-intervention follow-up period. This will be measured using the Fitbit Charge wearable device.

Other

MeasureTime frameDescription
Proportion of Weeks That Achieve 150 Minutes of MVPA During the 12 Month Intervention Using a Wearable Device (Fitbit Watch) to Measure MVPA Derived From Step Counts.Months 1-12Proportion of weeks that achieve at least 150 minutes of MVPA per week from baseline to the intervention period. The denominator is the total number of weeks all participants in each arm participated in the study and the numerator is the number of weeks all participants had at least 150 minutes of MVPA. This will be measured using the Fitbit Charge wearable device.
Proportion of Weeks That Achieve 150 Minutes of MVPA During the 6 Month Follow-up Using a Wearable Device (Fitbit Watch) to Measure MVPA Derived From Step Counts.Months 1-18Proportion of weeks that achieve at least 150 minutes of MVPA per week from baseline to the follow-up period. The denominator is the total number of weeks all participants in each arm participated in the study and the numerator is the number of weeks all participants had at least 150 minutes of MVPA. This will be measured using the Fitbit Charge wearable device.

Countries

United States

Participant flow

Pre-assignment details

Before randomization, participants completed a baseline period where they wore a Fitbit for two weeks for the study team to track their average daily step counts. Week two of the baseline period was used to determine eligibility. The average of step counts over 1000 steps per day were taken to calculate the baseline step count. Participants with baseline steps over 7,500 were considered ineligible.

Participants by arm

ArmCount
Control
Participants receive a daily text message stating whether or not they achieved their step goal on the prior day during the 12 months of intervention and 6 months of follow-up.
151
Gamification Intervention
Participants have an 8-week ramp-up period where daily goals increase from baseline to the step target, and sign a pledge agreeing to try their best to meet their goals. Participants are entered into a game. Each week they receive 70 points. Each day they're told their step count and points. If the step goal was met they keep their points, but if not, they lose 10 points. At the end of the week if they have at least 40 points they move up a level, but if not, they drop a level. Participants start in the middle of 5 levels. Participants choose a support partner who gets a weekly email with the participant's progress. We hold a 3-way phone call with the participant and supportive sponsor to discuss ways they can help the participant meet their goal. Every 8 weeks, have a follow up call if the participant is stuck in a lower level and restart them back at the middle level. In the follow-up period, participants continue to get a daily text stating if they met their step goal.
304
Financial Incentive Intervention
Participants are informed that each week that money is placed in a virtual account for them. Each day the participant is informed of their step count on the prior day. If the step goal was achieved, the balance remains. Each day the goal is not achieved, the participant is informed that some of the money was taken away. We will use an 8-week ramp-up period in which daily goals are increased gradually from baseline to targets. During the follow-up period, participants in this arm will continue to receive a daily text message stating whether or not they achieved their step goal on the prior day. Financial: Participants are informed that each week money is placed in a virtual account for them. Each day the participant is informed of their step count on the prior day. If the step goal was achieved, the balance remains. Each day the goal is not achieved, the participant is informed that some of the money was taken away. We will use an 8-week ramp-up period in which daily goals are increased gradually from baseline to targets. During the follow-up period, participants in this arm will continue to receive a daily text message stating whether or not they achieved their step goal on the prior day.
302
Gamification and Financial Incentive Intervention
Participants receive both of the interventions described in the Gamification Intervention arm and the Financial Incentive Intervention arm.
305
Total1,062

Baseline characteristics

CharacteristicTotalControlGamification InterventionFinancial Incentive InterventionGamification and Financial Incentive Intervention
Age, Continuous66.7 years
STANDARD_DEVIATION 8.1
66.6 years
STANDARD_DEVIATION 8
67.2 years
STANDARD_DEVIATION 8
66.4 years
STANDARD_DEVIATION 8.2
66.6 years
STANDARD_DEVIATION 8.2
Annual Household Income
$50,000 to $100,000
373 Participants52 Participants109 Participants106 Participants106 Participants
Annual Household Income
Greater than $100,000
446 Participants51 Participants134 Participants123 Participants138 Participants
Annual Household Income
Less than $50,000
243 Participants48 Participants61 Participants73 Participants61 Participants
Baseline daily steps5014 Average daily step counts
STANDARD_DEVIATION 1569
4980 Average daily step counts
STANDARD_DEVIATION 1554
4958 Average daily step counts
STANDARD_DEVIATION 1556
5018 Average daily step counts
STANDARD_DEVIATION 1579
5081 Average daily step counts
STANDARD_DEVIATION 1585
BMI31.2 kg/m^2
STANDARD_DEVIATION 6.7
31.4 kg/m^2
STANDARD_DEVIATION 7.3
31 kg/m^2
STANDARD_DEVIATION 6.3
31.5 kg/m^2
STANDARD_DEVIATION 7
31.1 kg/m^2
STANDARD_DEVIATION 6.5
Chronic kidney disease37 Participants4 Participants8 Participants10 Participants15 Participants
Chronic obstructive pulmonary disease28 Participants5 Participants4 Participants10 Participants9 Participants
Current smoking43 Participants11 Participants10 Participants11 Participants11 Participants
Diabetes244 Participants37 Participants65 Participants66 Participants76 Participants
Education
College graduate
785 Participants105 Participants220 Participants223 Participants237 Participants
Education
High school graduate
52 Participants13 Participants14 Participants19 Participants6 Participants
Education
Some college or specialized training
215 Participants31 Participants69 Participants57 Participants58 Participants
Education
Some high school
10 Participants2 Participants1 Participants3 Participants4 Participants
Heart Failure20 Participants4 Participants6 Participants5 Participants5 Participants
Hyperlipidemia565 Participants77 Participants163 Participants170 Participants155 Participants
Hypertension657 Participants93 Participants188 Participants192 Participants184 Participants
Marital Status
Married
664 Participants91 Participants189 Participants189 Participants195 Participants
Marital Status
Other
239 Participants33 Participants67 Participants73 Participants66 Participants
Marital Status
Single
159 Participants27 Participants48 Participants40 Participants44 Participants
Prior myocardial infarction25 Participants4 Participants6 Participants8 Participants7 Participants
Prior wearable device use739 Participants106 Participants213 Participants206 Participants214 Participants
Race/Ethnicity, Customized
Asian non-Hispanic
28 Participants7 Participants5 Participants7 Participants9 Participants
Race/Ethnicity, Customized
Black non-Hispanic
266 Participants40 Participants76 Participants82 Participants68 Participants
Race/Ethnicity, Customized
Hispanic
16 Participants1 Participants4 Participants7 Participants4 Participants
Race/Ethnicity, Customized
Other
15 Participants0 Participants5 Participants4 Participants6 Participants
Race/Ethnicity, Customized
White non-Hispanic
737 Participants103 Participants214 Participants202 Participants218 Participants
Self reported health status
Excellent
66 Participants11 Participants23 Participants11 Participants21 Participants
Self reported health status
Fair
152 Participants23 Participants37 Participants45 Participants47 Participants
Self reported health status
Good
501 Participants60 Participants145 Participants149 Participants147 Participants
Self reported health status
Poor
8 Participants1 Participants3 Participants2 Participants2 Participants
Self reported health status
Very Good
335 Participants56 Participants96 Participants95 Participants88 Participants
Sex: Female, Male
Female
642 Participants97 Participants197 Participants173 Participants175 Participants
Sex: Female, Male
Male
420 Participants54 Participants107 Participants129 Participants130 Participants
Step goal increase from baseline1867 step counts
STANDARD_DEVIATION 817
1855 step counts
STANDARD_DEVIATION 867
1890 step counts
STANDARD_DEVIATION 854
1890 step counts
STANDARD_DEVIATION 829
1826 step counts
STANDARD_DEVIATION 742
Step goal selection
33% increase from baseline
352 Participants51 Participants92 Participants95 Participants114 Participants
Step goal selection
40% increase from baseline
164 Participants26 Participants37 Participants45 Participants56 Participants
Step goal selection
50% increase from baseline
209 Participants21 Participants72 Participants61 Participants55 Participants
Step goal selection
Custom goal
337 Participants53 Participants103 Participants101 Participants80 Participants
Stroke18 Participants2 Participants4 Participants7 Participants5 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 / 1511 / 3040 / 3020 / 305
other
Total, other adverse events
80 / 151180 / 304140 / 302171 / 305
serious
Total, serious adverse events
21 / 15151 / 30445 / 30244 / 305

Outcome results

Primary

Change in Mean Daily Step Counts During the 12 Month Intervention Using a Wearable Pedometer (Fitbit Watch) to Measure Step Count.

Change in mean daily steps counts from baseline to the 12-month intervention period, excluding the 8-week ramp-up phase. This will be measured using the Fitbit Charge wearable device.

Time frame: Months 1-12

ArmMeasureValue (MEAN)Dispersion
ControlChange in Mean Daily Step Counts During the 12 Month Intervention Using a Wearable Pedometer (Fitbit Watch) to Measure Step Count.1418 Step countsStandard Deviation 1753
Gamification InterventionChange in Mean Daily Step Counts During the 12 Month Intervention Using a Wearable Pedometer (Fitbit Watch) to Measure Step Count.1954 Step countsStandard Deviation 1706
Financial Incentive InterventionChange in Mean Daily Step Counts During the 12 Month Intervention Using a Wearable Pedometer (Fitbit Watch) to Measure Step Count.1915 Step countsStandard Deviation 1903
Gamification and Financial Incentive InterventionChange in Mean Daily Step Counts During the 12 Month Intervention Using a Wearable Pedometer (Fitbit Watch) to Measure Step Count.2297 Step countsStandard Deviation 1842
Secondary

Change in Mean Daily Minutes of Moderate to Vigorous Physical Activity (MVPA) During the 12 Month Intervention Using a Wearable Device (Fitbit Watch) to Measure MVPA Derived From Step Counts.

Change in mean daily minutes of MVPA from baseline to the intervention period, excluding the 8-week ramp up phase. This will be measured using the Fitbit Charge wearable device.

Time frame: Months 1-12

ArmMeasureValue (MEAN)Dispersion
ControlChange in Mean Daily Minutes of Moderate to Vigorous Physical Activity (MVPA) During the 12 Month Intervention Using a Wearable Device (Fitbit Watch) to Measure MVPA Derived From Step Counts.5.3 MinutesStandard Deviation 9.5
Gamification InterventionChange in Mean Daily Minutes of Moderate to Vigorous Physical Activity (MVPA) During the 12 Month Intervention Using a Wearable Device (Fitbit Watch) to Measure MVPA Derived From Step Counts.7.4 MinutesStandard Deviation 10.6
Financial Incentive InterventionChange in Mean Daily Minutes of Moderate to Vigorous Physical Activity (MVPA) During the 12 Month Intervention Using a Wearable Device (Fitbit Watch) to Measure MVPA Derived From Step Counts.7.8 MinutesStandard Deviation 11.1
Gamification and Financial Incentive InterventionChange in Mean Daily Minutes of Moderate to Vigorous Physical Activity (MVPA) During the 12 Month Intervention Using a Wearable Device (Fitbit Watch) to Measure MVPA Derived From Step Counts.9 MinutesStandard Deviation 10.5
Secondary

Change in Mean Daily Minutes of Moderate to Vigorous Physical Activity (MVPA) During the 6 Month Follow-up Using a Wearable Device (Fitbit Watch) to Measure MVPA Derived From Step Counts.

Change in mean daily minutes of MVPA from baseline to the post-intervention follow-up period. This will be measured using the Fitbit Charge wearable device.

Time frame: Months 1-18

ArmMeasureValue (MEAN)Dispersion
ControlChange in Mean Daily Minutes of Moderate to Vigorous Physical Activity (MVPA) During the 6 Month Follow-up Using a Wearable Device (Fitbit Watch) to Measure MVPA Derived From Step Counts.4.7 MinutesStandard Deviation 10.2
Gamification InterventionChange in Mean Daily Minutes of Moderate to Vigorous Physical Activity (MVPA) During the 6 Month Follow-up Using a Wearable Device (Fitbit Watch) to Measure MVPA Derived From Step Counts.5.4 MinutesStandard Deviation 11.2
Financial Incentive InterventionChange in Mean Daily Minutes of Moderate to Vigorous Physical Activity (MVPA) During the 6 Month Follow-up Using a Wearable Device (Fitbit Watch) to Measure MVPA Derived From Step Counts.5.3 MinutesStandard Deviation 10.9
Gamification and Financial Incentive InterventionChange in Mean Daily Minutes of Moderate to Vigorous Physical Activity (MVPA) During the 6 Month Follow-up Using a Wearable Device (Fitbit Watch) to Measure MVPA Derived From Step Counts.5.5 MinutesStandard Deviation 10.4
Secondary

Change in Mean Daily Step Counts During the 6 Month Follow-up Using a Wearable Pedometer (Fitbit Watch) to Measure Step Count.

Change in mean daily steps from baseline to the post-intervention follow-up period. This will be measured using the Fitbit Charge wearable device.

Time frame: Months 1-18

ArmMeasureValue (MEAN)Dispersion
ControlChange in Mean Daily Step Counts During the 6 Month Follow-up Using a Wearable Pedometer (Fitbit Watch) to Measure Step Count.1245 Step countsStandard Deviation 1879
Gamification InterventionChange in Mean Daily Step Counts During the 6 Month Follow-up Using a Wearable Pedometer (Fitbit Watch) to Measure Step Count.1708 Step countsStandard Deviation 1882
Financial Incentive InterventionChange in Mean Daily Step Counts During the 6 Month Follow-up Using a Wearable Pedometer (Fitbit Watch) to Measure Step Count.1576 Step countsStandard Deviation 2062
Gamification and Financial Incentive InterventionChange in Mean Daily Step Counts During the 6 Month Follow-up Using a Wearable Pedometer (Fitbit Watch) to Measure Step Count.1831 Step countsStandard Deviation 1891
Other Pre-specified

Proportion of Weeks That Achieve 150 Minutes of MVPA During the 12 Month Intervention Using a Wearable Device (Fitbit Watch) to Measure MVPA Derived From Step Counts.

Proportion of weeks that achieve at least 150 minutes of MVPA per week from baseline to the intervention period. The denominator is the total number of weeks all participants in each arm participated in the study and the numerator is the number of weeks all participants had at least 150 minutes of MVPA. This will be measured using the Fitbit Charge wearable device.

Time frame: Months 1-12

ArmMeasureValue (NUMBER)
ControlProportion of Weeks That Achieve 150 Minutes of MVPA During the 12 Month Intervention Using a Wearable Device (Fitbit Watch) to Measure MVPA Derived From Step Counts..16 Proportion of weeks
Gamification InterventionProportion of Weeks That Achieve 150 Minutes of MVPA During the 12 Month Intervention Using a Wearable Device (Fitbit Watch) to Measure MVPA Derived From Step Counts..23 Proportion of weeks
Financial Incentive InterventionProportion of Weeks That Achieve 150 Minutes of MVPA During the 12 Month Intervention Using a Wearable Device (Fitbit Watch) to Measure MVPA Derived From Step Counts..24 Proportion of weeks
Gamification and Financial Incentive InterventionProportion of Weeks That Achieve 150 Minutes of MVPA During the 12 Month Intervention Using a Wearable Device (Fitbit Watch) to Measure MVPA Derived From Step Counts..27 Proportion of weeks
Other Pre-specified

Proportion of Weeks That Achieve 150 Minutes of MVPA During the 6 Month Follow-up Using a Wearable Device (Fitbit Watch) to Measure MVPA Derived From Step Counts.

Proportion of weeks that achieve at least 150 minutes of MVPA per week from baseline to the follow-up period. The denominator is the total number of weeks all participants in each arm participated in the study and the numerator is the number of weeks all participants had at least 150 minutes of MVPA. This will be measured using the Fitbit Charge wearable device.

Time frame: Months 1-18

ArmMeasureValue (NUMBER)
ControlProportion of Weeks That Achieve 150 Minutes of MVPA During the 6 Month Follow-up Using a Wearable Device (Fitbit Watch) to Measure MVPA Derived From Step Counts..14 Proportion of weeks
Gamification InterventionProportion of Weeks That Achieve 150 Minutes of MVPA During the 6 Month Follow-up Using a Wearable Device (Fitbit Watch) to Measure MVPA Derived From Step Counts..18 Proportion of weeks
Financial Incentive InterventionProportion of Weeks That Achieve 150 Minutes of MVPA During the 6 Month Follow-up Using a Wearable Device (Fitbit Watch) to Measure MVPA Derived From Step Counts..18 Proportion of weeks
Gamification and Financial Incentive InterventionProportion of Weeks That Achieve 150 Minutes of MVPA During the 6 Month Follow-up Using a Wearable Device (Fitbit Watch) to Measure MVPA Derived From Step Counts..20 Proportion of weeks

Source: ClinicalTrials.gov · Data processed: Feb 11, 2026