ClinicalTrials.gg
CompletedNCT03194854Updated Apr 21, 2022

Well-Being and Physical Activity Study

An interventional study of Fun For Wellness (FFW) in Health Promotion, sponsored by University of Miami. Completed at 1 site in United States. Open to participants aged 18 Years to 64 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2022-04-21.

Sponsored by University of Miami · Not applicable, Interventional, and Treatment

Phase
Not applicable
Study type
Interventional
Enrollment
900
Allocation
Randomized
Ages
18 Years to 64 Years
Sex
All
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Study summary

Fun For Wellness (FFW) is an online behavioral intervention designed to promote growth in well-being by providing capability-enhancing learning opportunities to participants. This study is a randomized controlled trial (RCT) designed to provide an initial evaluation of the effectiveness of FFW to increase well-being and physical activity in an obese adult population in the United States of America. The conceptual framework for the FFW intervention is guided by self-efficacy theory. The FFW intervention consists of participants engaging in BET I CAN challenges. BET I CAN is an acronym that stands for behaviors, emotions, thoughts, interactions, awareness, and next steps. The FFW intervention is conceptualized as exerting both a positive direct effect, and a positive indirect effect through self-efficacy (i.e., well-being self-efficacy), on well-being (i.e., subjective well-being and well-being actions).

Read the detailed description

The World Health Organization (WHO) estimates that 650 million adults are obese and that this number has tripled since 1975. To reduce adult obesity the WHO recommends that individuals limit energy intake from low quality food sources (e.g., highly processed foods high in fat), increase energy intake from high quality food sources (e.g., raw vegetables), and engage in regular physical activity (e.g., 150 minutes at moderate intensity per week). There is evidence, that well-designed cognitive-behavioral interventions can successfully promote physical activity in obese adults.

Insufficient physical activity in the general adult population is a global pandemic. At the individual-level, there is evidence that behavioral interventions designed to promote physical activity by focusing on personal psychological attributes (e.g., self-efficacy) can be effective. Delivering a physical activity intervention online has been shown to be an effective mode of delivery that also may allow for efficient scaling up of an intervention. Thus, a readily scalable online behavioral intervention that effectively promotes physical activity in obese adults may be useful in regard to responding to a global pandemic (i.e., physical inactivity) in an at-risk population (i.e., obese adults).

The conceptual framework for the Fun For Wellness intervention is based on self-efficacy theory. Over the past few decades, self-efficacy theory has been one of the most widely studied conceptual frameworks in sport and exercise psychology. FFW is an online behavioral intervention designed to promote growth in well-being by providing capability-enhancing learning opportunities to participants. For participants who comply with the intervention, some initial evidence has been provided for the efficacy of FFW to promote: well-being self-efficacy; interpersonal, community, psychological and economic subjective well-being; and, interpersonal and physical well-being actions.

A panel company will invite participants from their General Population member panel to go to the research webpage to be screened for the study. No more than six hundred obese adults (BMI ≥ 25.00 kg/m2) between 18 and 64 years old will be randomly assigned to the FFW or Usual Care (UC) group to achieve a 1:1 group (i.e. FFW:UC) assignment. Recruitment, eligibility verification and data collection will be conducted online. Data will be collected at baseline, 30 days and 60 days post-baseline. Instruments to measure demographic information, anthropometric characteristics, self-efficacy, physical activity, well-being, and health-related quality of life will be included in the battery. Data will be modeled under both an intent to treat approach and a complier average causal effect approach.

Primary outcomes are: well-being self-efficacy, subjective well-being and well-being actions.

Hypotheses for intervention compliers are:

  1. The FFW intervention will exert a positive direct effect on well-being self-efficacy.
  2. The FFW intervention will exert a positive direct effect on subjective well-being.
  3. The FFW intervention will exert a positive direct effect on well-being actions.

Secondary outcomes are: well-being actions self-efficacy, physical activity self-efficacy, self-efficacy to regulate physical activity, and physical activity.

Hypotheses for intervention compliers are:

  1. The FFW intervention will exert a positive direct effect on well-being actions self-efficacy.
  2. The FFW intervention will exert a positive direct effect on physical activity self-efficacy.
  3. The FFW intervention will exert a positive direct effect on self-efficacy to regulate physical activity.
  4. The FFW intervention will exert a positive direct effect on physical activity.

Exploratory analyses will be conducted to examine possible relationships between the FFW intervention and health-related quality of life.

02

Conditions studied

  • Health Promotion

Keywords

  • e-Health
  • self-efficacy theory
  • mixture modeling
  • mobile health
  • complier average causal effect estimation
03

In context

Lead sponsor

University of Miami is the lead sponsor of 838 studies on the registry; 164 are open to participants now.

Of its 114 completed or terminated interventional studies of FDA-regulated products, 96 (84%) have results posted.

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

04

Who can participate

Ages eligible
18 Years to 64 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.

There are seven eligibility criteria for participation in this study.

Inclusion criteria

Inclusion Criteria:

  • individual is at least 18 years old but not older than 64 years old
  • individual has access to a technological device (e.g., computer) that can access the online intervention
  • individual lives in the United States of America
  • individual is not simultaneously enrolled in another program promoting either well-being or physical activity
  • individual has a body mass index (BMI) ≥ 25.00 kg/m2

Exclusion criteria

Exclusion Criteria:

  • individual is less than 18 years old or older than 64 years old
  • individual does not have access to a technological device (e.g., computer) that can access the online intervention
  • individual does not live in the United States of America
  • individual is simultaneously enrolled in another program promoting either well-being or physical activity
  • individual has a body mass index (BMI) \< 25.00
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Study design

Phase
Not applicable
Primary purpose
Treatment
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Double (Investigator, Outcomes assessor)
Enrollment
900 participants (actual)

Study arms

  • Experimental
    Fun For Wellness (FFW)

    Intervention participants will: 1) watch original videos with vignettes performed by professional actors; 2) read and/or watch mini-lectures that teach skills for behavior change; 3) engage in self-reflection exercises, 4) play original interactive games related to vignettes and mini-lectures; 5) interact with other FFW users via chat room functions and; 6) watch funny narrated video clips about well-being.

    Behavioral: Fun For Wellness (FFW)

  • No intervention
    Usual Care (UC)

    The Usual Care (UC) group will conduct their lives as usual during the 30 day intervention period.

Interventions

  • BehavioralFun For Wellness (FFW)

    FFW consists of videos, games, and content teaching 14 skills to support seven drivers of change that promote well-being in I COPPE domains. The drivers form the acronym BET I CAN, which stands for: Behaviors, Emotions, Thoughts, Interactions, Context, Awareness, and Next Steps. B teaches basics of habit formation, including antecedents, behaviors, and consequences and techniques like goal setting, behavior tracking and rewards. E teaches how to build positive emotions and cope with negative ones. T teaches lessons from cognitive behavioral therapy. I builds communication skills such as empathy, listening and assertiveness. C teaches how to create healthier environmental contexts. A aims to increase insight. N emphasizes the need to make plans and anticipate barriers.

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What researchers measure

Primary outcomes

  1. Change in overall Well-Being Self-Efficacy (WBSE) Scale scores between baseline and time 3.

    The FFW intervention will exert a positive direct effect on well-being self-efficacy.

    Time frame: baseline, 30 days, and 60 days

  2. Change in subjective well-being I COPPE Scale scores between baseline and time 3.

    The FFW intervention will exert a positive direct effect on subjective well-being.

    Time frame: baseline, 30 days, and 60 days

  3. Change in I COPPE Actions Scale scores between baseline and time 3.

    The FFW intervention will exert a positive direct effect on well-being actions

    Time frame: baseline, 30 days, and 60 days

Secondary outcomes

  1. Change in Well-Being Actions Self-Efficacy (WBASE) Scale scores between baseline and time 3.

    The FFW intervention will exert a positive direct effect on well-being actions self-efficacy.

    Time frame: baseline, 30 days, and 60 days

  2. Change in Job-Related Physical Activity Self-Efficacy (J-R PASE) Scale scores between baseline and time 3.

    The FFW intervention will exert a positive direct effect on job-related physical activity self-efficacy.

    Time frame: baseline, 30 days, and 60 days

  3. Change in Transportation-Related Physical Activity Self-Efficacy (T-R PASE) Scale scores between baseline and time 3.

    The FFW intervention will exert a positive direct effect on transportation-related physical activity self-efficacy.

    Time frame: baseline, 30 days, and 60 days

  4. Change in Domestic-Related Physical Activity Self-Efficacy (D-R PASE) Scale scores between baseline and time 3.

    The FFW intervention will exert a positive direct effect on domestic-related physical activity self-efficacy.

    Time frame: baseline, 30 days, and 60 days

  5. Change in Leisure-Related Physical Activity Self-Efficacy (L-R PASE) Scale scores between baseline and time 3.

    The FFW intervention will exert a positive direct effect on leisure-related physical activity self-efficacy.

    Time frame: baseline, 30 days, and 60 days

  6. Change in Self-Efficacy to Regulate Physical Activity (SERPA) Scale scores between baseline and time 3.

    The FFW intervention will exert a positive direct effect on self-efficacy to regulate physical activity.

    Time frame: baseline, 30 days, and 60 days

  7. Change in Long International Physical Activity Questionnaire (Long-IPAQ) scores between baseline and time 3

    The FFW intervention will exert a positive direct effect on physical activity.

    Time frame: baseline, 30 days, and 60 days

Other outcomes

  1. Relationships between FFW intervention and SF36v2 scores.

    Exploratory analyses will be conducted to examine possible relationships between the FFW intervention and health-related quality of life.

    Time frame: baseline, 30 days, and 60 days

07

Study locations

1 site
  • University of Miami
    Coral Gables, Florida 33146, United States
08

References and documents

Publications

  • Myers ND, Prilleltensky I, Lee S. Measuring stability and change in response patterns to a set of hierarchical scales in a randomized intervention study: an innovative application of latent transition analysis. J Behav Med. 2026 Apr;49(2):157-175. doi: 10.1007/s10865-025-00586-7. Epub 2025 Aug 25. PubMed 40853442 ↗
  • Myers ND, Brincks AM, Lee S. Direct and Indirect Causal Effects of an Individual Randomized Physical Activity-Promoting Intervention: A Substantive-Methodological Synergy. Meas Phys Educ Exerc Sci. 2025;29(1):24-42. doi: 10.1080/1091367x.2024.2392563. Epub 2024 Aug 19. PubMed 40248477 ↗
  • Myers ND, Brincks AM, Lee S. Using Directed Acyclic Graphs (DAGs) to Determine if the Total Causal Effect of an Individual Randomized Physical Activity-Promoting Intervention is Identifiable. Meas Phys Educ Exerc Sci. 2024;28(3):267-282. doi: 10.1080/1091367x.2024.2318355. Epub 2024 Feb 19. PubMed 39206182 ↗
  • Lee S, Myers ND, Bateman AG, Prilleltensky I, McMahon A, Brincks AM. Baseline self-efficacy predicts subsequent engagement behavior in an online physical activity intervention. Front Sports Act Living. 2024 Jul 3;6:1401206. doi: 10.3389/fspor.2024.1401206. eCollection 2024. PubMed 39022641 ↗
  • Myers ND, Bateman AG, McMahon A, Prilleltensky I, Lee S, Prilleltensky O, Pfeiffer KA, Brincks AM. Measurement of Physical Activity Self-Efficacy in Adults With Obesity: A Latent Variable Approach to Explore Dimensionality, Temporal Invariance, and External Validity. J Sport Exerc Psychol. 2021 Nov 18;43(6):497-513. doi: 10.1123/jsep.2021-0040. PubMed 34794118 ↗
  • Myers ND, Prilleltensky I, McMahon A, Brincks AM, Lee S, Prilleltensky O, Pfeiffer KA, Bateman AG. Mechanisms by Which the Fun for Wellness Intervention May Promote Subjective Well-Being in Adults with Obesity: a Reanalysis Using Baseline Target Moderation. Prev Sci. 2023 Feb;24(2):286-298. doi: 10.1007/s11121-021-01274-z. Epub 2021 Jun 25. PubMed 34173135 ↗
  • Myers ND, McMahon A, Prilleltensky I, Lee S, Dietz S, Prilleltensky O, Pfeiffer KA, Bateman AG, Brincks AM. Effectiveness of the Fun for Wellness Web-Based Behavioral Intervention to Promote Physical Activity in Adults With Obesity (or Overweight): Randomized Controlled Trial. JMIR Form Res. 2020 Feb 21;4(2):e15919. doi: 10.2196/15919. PubMed 32130110 ↗
  • Myers ND, Prilleltensky I, Lee S, Dietz S, Prilleltensky O, McMahon A, Pfeiffer KA, Ellithorpe ME, Brincks AM. Effectiveness of the fun for wellness online behavioral intervention to promote well-being and physical activity: protocol for a randomized controlled trial. BMC Public Health. 2019 Jun 13;19(1):737. doi: 10.1186/s12889-019-7089-2. PubMed 31196052 ↗

Individual participant data

Plan to share: No

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Ran from Aug 2018 to primary completion in Nov 2018, 3 months.

How these figures are worked out, and which studies are left out of them.

Registered
Jun 19, 2017
First posted
Jun 21, 2017
StartActual
Aug 8, 2018
Primary completionActual
Nov 18, 2018
CompletionActual
Nov 18, 2018
Last update
Apr 21, 2022
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Apr 21, 2022, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT03194854
Responsible party
Isaac Prilleltensky (Professor, School of Education and Human Development; Vice Provost, Office of Institutional Culture, University of Miami) — Principal investigator
First posted
Jun 21, 2017
Start date
Aug 8, 2018
Primary completion
Nov 18, 2018
Completion
Nov 18, 2018
Last update
Apr 21, 2022

Study contacts

Isaac Prilleltensky, Ph.D.
principal investigator · Professor, University of Miami, School of Education and Human Development; Vice Provost, Office of Institutional Culture
Nicholas D. Myers, Ph.D.
principal investigator · Associate Professor, Michigan State University, Department of Kinesiology

Oversight

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

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This study is completed, as verified in Apr 2022. You cannot join it, but the record below documents what was studied.

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