Study Results
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Basic Information
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COMPLETED
NA
900 participants
INTERVENTIONAL
2018-08-08
2018-11-18
Brief Summary
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Detailed Description
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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.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
DOUBLE
Study Groups
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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.
Fun 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.
Usual Care (UC)
The Usual Care (UC) group will conduct their lives as usual during the 30 day intervention period.
No interventions assigned to this group
Interventions
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Fun 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.
Eligibility Criteria
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Inclusion Criteria
* 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
* 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
18 Years
64 Years
ALL
Yes
Sponsors
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Michigan State University
OTHER
University of Miami
OTHER
Responsible Party
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Isaac Prilleltensky
Professor, School of Education and Human Development; Vice Provost, Office of Institutional Culture
Principal Investigators
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Isaac Prilleltensky, Ph.D.
Role: PRINCIPAL_INVESTIGATOR
Professor, University of Miami, School of Education and Human Development; Vice Provost, Office of Institutional Culture
Nicholas D. Myers, Ph.D.
Role: PRINCIPAL_INVESTIGATOR
Associate Professor, Michigan State University, Department of Kinesiology
Locations
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University of Miami
Coral Gables, Florida, United States
Countries
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References
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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. 2025 Aug 25. doi: 10.1007/s10865-025-00586-7. Online ahead of print.
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.
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.
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.
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.
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.
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.
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.
Other Identifiers
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20170541
Identifier Type: -
Identifier Source: org_study_id
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