Incentives for Physical Activity for Older Adults

Sponsor
University of California, San Diego (Other)
Overall Status
Not yet recruiting
CT.gov ID
NCT05948709
Collaborator
National Institute on Aging (NIA) (NIH), University of Southern California (Other)
200
2
9.5

Study Details

Study Description

Brief Summary

Inactivity is the fourth leading risk factor for global mortality, leading to chronic diseases. Much of the world's population is inactive, and older adults are at highest risk. Incentive-based interventions show promise for improving activity levels. The investigators propose to conduct a study to evaluate the impact of incentives on physical activity of older adults (60+). Half the participants will receive additional incentives for walking throughout the study. Their step count and physical/mental health will be compared to a control group. The investigators will track the physical activity of participants using Fitbits and will encourage physical activity through making meal donations on behalf of participants (prosocial incentives) and giving them gift cards that can be redeemed at local businesses (personal incentives). Physical and mental health before and after the study will also be assessed using a written survey.

Condition or Disease Intervention/Treatment Phase
  • Other: Incentives for Physical Activity
N/A

Detailed Description

Inactivity is the fourth leading risk factor for global mortality, leading to chronic diseases (e.g., heart disease, diabetes) and contributing to the obesity epidemic. Much of the world's population is inactive and older adults are at highest risk. Inactivity in older adults is linked to age-related diseases and cognitive decline. Inactivity also imposes social costs through increased medical expenses, which are already high among the growing older adult population in the US.

Incentive-based interventions have gained popularity among behavioral scientists and policymakers as a tool for improving health-related behaviors. But there are drawbacks - first, monetary incentives are often not cost-effective, and therefore scalability is limited. Second, behaviors often return to baseline when monetary incentives are removed, i.e., healthy habits are hard to maintain when incentives are limited in duration. Third, there is a concern that monetary incentives crowd out intrinsic motivation to engage in health-promoting behaviors.

In light of the limited success of incentive-based behavior change programs, the investigators propose to design and evaluate alternative incentives that address these challenges of scalability, habit formation and crowd-out. The investigators will aim to encourage physical activity through alternative incentives - by making a meal donations on behalf of participants (prosocial incentives) and give participants monetary incentives that will be loaded onto a gift card (personal incentives). Both types of incentives have underpinnings in behavioral economics.

Meal donations harness prosocial preferences, which may be more powerful and less likely to reduce intrinsic motivation than equivalent monetary incentives. Gift cards that can be redeemed at businesses harness "mental accounting" - the idea that incentives are more valuable when targeted to higher-valued accounts like eating at restaurants.

The overall aim is to evaluate the impact of alternative incentives on step count of older adults in the short-term and long-term. Exploratory analysis will also evaluate the impact on physical and mental health. The investigators will recruit 200 older adults and randomize half of them to receive additional prosocial and personal incentives for their walking behavior. The other half will not receive these incentives. The investigators will track step count of these two groups for 7 weeks using a Fitbit device. Under the treatment functionality, participants accrue a meal donation and a point for Feeding America for each day that they meet the step goal.

The investigators plan to recruit older adults ages 60+ at grocery stores and other locations around San Diego, CA. Recruitment will be on a rolling basis. PI Samek has recruited participants at grocery stores in prior studies, hence the investigators believe this is feasible. Participation will be limited to individuals who own a smart phone (61% of older adults in the US own a smart phone, and the investigators expect this number to grow as the population ages). Studies have shown that older adults are open to using app-based technologies, for example older adults are accepting of mindfulness apps.

The research team will be given access to participants' Fitbit data through Fitabase, a research platform that collects data from internet connected consumer activity devices. The investigators identified 6,000 steps as an appropriate goal as studies show older adults walk 4,000 steps on average. For the treatment group, meals will be donated by the research team to Feeding America for each day they meet the step goal of 6,000 steps. They will also receive money every week in the form of a gift card if they meet the step goal of 6,000 steps on at least 3 out of 7 days in that week. Participants can redeem their gift cards (ClinCard) in stores or online, where Visa debit cards are accepted. The control group will not receive these incentives for their walking behavior, but their daily step count data will be collected.

Participants will receive a Fitbit upon enrollment. The investigators will collect their physical activity data for 1 week, as their baseline physical activity. After 1 week, individuals will be randomized to the treatment group, which receives the incentives for 6 weeks, or to a control group which does not.

To reduce attrition, the investigators will encourage participants to complete the assessment in the beginning of the study and at the end of week 7. The investigators incentivize participation from both groups. By monetarily compensating them at sign-up and at the week 7 assessment. Further, participants in both groups will receive compensation for wearing the Fitbit device at least 3 days a week and greater compensation for wearing it every day of the week.

Study Design

Study Type:
Interventional
Anticipated Enrollment :
200 participants
Allocation:
Randomized
Intervention Model:
Parallel Assignment
Intervention Model Description:
The investigators will recruit 200 older adults and randomize half of them to receive additional incentives. The other half will not receive additional incentives. The investigators will track step count of these two groups for 7 weeks using Fitbits and Fitabase software.The investigators will recruit 200 older adults and randomize half of them to receive additional incentives. The other half will not receive additional incentives. The investigators will track step count of these two groups for 7 weeks using Fitbits and Fitabase software.
Masking:
None (Open Label)
Primary Purpose:
Other
Official Title:
Incentives for Physical Activity - An RCT With Older Adults
Anticipated Study Start Date :
Jul 17, 2023
Anticipated Primary Completion Date :
Apr 1, 2024
Anticipated Study Completion Date :
May 1, 2024

Arms and Interventions

Arm Intervention/Treatment
Experimental: Treatment

Fitabase collects data from Fitbits worn by the participants. Under the treatment functionality, participants earn a meal donation for each day that they meet the step goal and a gift card for each week in which they met the step goal at least 3 times. The investigators identified 6,000 steps as an appropriate goal as studies show older adults walk 4,000 steps on average. Meals are donated by the investigators on behalf of participants. Users can redeem their gift cards at any store (physical or online) where Visa debit cards are accepted.

Other: Incentives for Physical Activity
Participants earn a meal donation for each day that they reach 6,000 steps and a gift card for each week in which they met the 6,000 steps goal at least 3 times. Meals are donated by the investigators on behalf of participants.

No Intervention: Control

The control group will not have the functionality to earn meal donations or gift cards by walking, and will only be asked to wear their Fitbit so that step count data can be collected.

Outcome Measures

Primary Outcome Measures

  1. Change in step count [Week 1 and week 7.]

    Indicator of change in physical activity, recorded daily using Fitabase and averaged across a week. A baseline step count at the beginning of the study will be compared to the step count at the end of the study.

Secondary Outcome Measures

  1. Change in CES-D (Center for Epidemiologic Studies Depression Scale) Score [Week 1 and week 7.]

    Measured during baseline and endline survey, indicator of mental health. CES-D scores range from 0-60, with higher scores being more indicative of depression.

Eligibility Criteria

Criteria

Ages Eligible for Study:
60 Years and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
Yes
Inclusion Criteria:
  • 60 years old or older

  • own a smartphone

  • can walk independently

Exclusion Criteria:
  • below 60 years

  • does not own a smartphone

  • unable to walk independently

Contacts and Locations

Locations

No locations specified.

Sponsors and Collaborators

  • University of California, San Diego
  • National Institute on Aging (NIA)
  • University of Southern California

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Publications

Responsible Party:
Anya Samek, Associate Professor of Economics and Strategy, University of California, San Diego
ClinicalTrials.gov Identifier:
NCT05948709
Other Study ID Numbers:
  • 805439
  • P30AG024968
First Posted:
Jul 17, 2023
Last Update Posted:
Jul 17, 2023
Last Verified:
Jul 1, 2023
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No

Study Results

No Results Posted as of Jul 17, 2023