A Person-Centered Geotagged Social Networking System to Promote Physical Activity in the Community

NCT05216393 | Completed

• 1 other identifier: 300007761
• Study Type: interventional
• Target: 7
• Locations: 1 country
• Sites: 1

Brief Summary

The multilevel socio-ecological barriers to physical activity experienced by people with physical disabilities cut across structures and systems, community, institutions and organizations, interpersonal, and individual levels. Several studies have attempted to understand these barriers and facilitators, but to date, no study or system has attempted to systematically resolve these multilevel barriers and capitalize on the potential facilitators that can increase access to exercise and recreation programs, services and facilities for people with disabilities. In RecTech's previous cycle of funding, this void was addressed in a Proof of Concept product called the Activity Inclusion Mapping System (AIMS). AIMS enabled people with disabilities to quickly and precisely identify accessible and usable community-based physical activity resources and services. Based on the positive feedback received at the annual RESNA conference and from our Consumer Research Advisory Committee (CRAC) during preparation of this application, the investigators propose to develop an innovative person-centered geotagged Social Networking System (SNS) based on the social-ecological model of health. The focus of this proposed Proof of Product project is to address multilevel barriers and facilitators associated with community-based leisure time physical activity (LTPA) using crowdsourcing principles for gathering data. The project is targeted to all people with physical disabilities.

Conditions

Physical Inactivity; Disability Physical

Keywords

physical activity; disability; geotagging

Outcome Measures

Primary Outcomes (4)

• Godin - Leisure time physical activity questionnaire

  Estimates habitual leisure time physical activity. Higher numbers indicate more times the person has engaged in physical activity separated by 3 categories. There is no scoring limit.

  pre-intervention and again at the end of 12 weeks

• Barriers to Physical Activity Questionnaire for People with Mobility Impairments

  Identifies barriers to physical activity, specifically designed for individuals with a mobility. impairment. The survey has 8 subscales (health, beliefs and attitudes, family, friends, fitness-center-built environment, staff and policy, community built environment, and safety. Subscale scores of 1 to 5 are calculated. Higher values indicate a higher influence of barriers.

  pre-intervention and again at the end of 12 weeks

• Chogahara's Social Influence on Physical Activity Questionnaire

  Measures a persons perceptions on how their physical activity is affected by social influences. The survey has 3 factors (friends, family, and health/fitness expert) and 3 subscales (companionship, informational, and emotional support). Each subscale can have a minimum maximum score of 4 with a higher score indicating a higher frequency of influence.

  pre-intervention and again at the end of 12 weeks

• Post Intervention Interviews

  Gather feedback on the end user's experiences using the website.

  pre-intervention and again at the end of 12 weeks

Secondary Outcomes (1)

• FitBit device data (total energy expenditure, steps, sedentary time, light activity time, moderate activity time, high activity time, and activity energy expenditure).

  FitBit Data will be continuously collected for 12 weeks

Study Arms (2)

intervention

EXPERIMENTAL

The intervention group will be mailed a Fitbit device and provided access to the RecTech Match website. Intervention participants will receive weekly calls for the first 6 weeks, and a call every other week for the following 6 weeks (9 in total) from a health coach to discuss progress, facilitate setting physical activity goals, and help mitigate obstacles to participate in physical activity in the community. Participants will be free to access the features and resources of the website. The Fitbit data will be collected on an ongoing basis and the participants will receive daily texts asking them to rate the amount of physical activity for the day.

Other: RecTech Match Website

Control

NO INTERVENTION

The control participants will not have access to the RecTech Match website; however, control participants will be directed to generic information available on the NCHPAD website, which includes the same information but is not delivered through RecTechMatch.com.

Interventions

RecTech Match Website OTHER

Participants will have access to the Rectech Match website. These participants will receive 9 health coaching calls. Fitbit physical activity data will be collected on an ongoing basis during the intervention.

Also known as: rectechmatch.org

intervention

Eligibility Criteria

• Age: 18 Years - 64 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64)

You may qualify if:

• to 64 years old
• self-reported physical disability that limits their mobility

You may not qualify if:

• Cognitive or linguistic problems with understanding instructions or filling in self-administered outcome measures
• Cardiovascular disease event within the past 6 months
• Severe pulmonary disease or renal failure
• Currently pregnant
• Ongoing exacerbation of a health condition
• Other conditions that would interfere with being physically active

Sponsors & Collaborators

• University of Alabama at Birmingham: lead

Study Sites (1)

UAB / Lakeshore Research Collaborative

Birmingham, Alabama, 35294, United States

Location

Related Publications (6)

• Martin Ginis KA, Ma JK, Latimer-Cheung AE, Rimmer JH. A systematic review of review articles addressing factors related to physical activity participation among children and adults with physical disabilities. Health Psychol Rev. 2016 Dec;10(4):478-494. doi: 10.1080/17437199.2016.1198240. Epub 2016 Jun 29.

  PMID: 27265062 BACKGROUND

• Vasudevan V, Rimmer JH, Kviz F. Development of the Barriers to Physical Activity Questionnaire for People with Mobility Impairments. Disabil Health J. 2015 Oct;8(4):547-56. doi: 10.1016/j.dhjo.2015.04.007. Epub 2015 May 14.

  PMID: 26087721 BACKGROUND

• McLeroy KR, Bibeau D, Steckler A, Glanz K. An ecological perspective on health promotion programs. Health Educ Q. 1988 Winter;15(4):351-77. doi: 10.1177/109019818801500401.

  PMID: 3068205 BACKGROUND

• Takacs J, Pollock CL, Guenther JR, Bahar M, Napier C, Hunt MA. Validation of the Fitbit One activity monitor device during treadmill walking. J Sci Med Sport. 2014 Sep;17(5):496-500. doi: 10.1016/j.jsams.2013.10.241. Epub 2013 Oct 31.

  PMID: 24268570 BACKGROUND

• Amireault S, Godin G. The Godin-Shephard leisure-time physical activity questionnaire: validity evidence supporting its use for classifying healthy adults into active and insufficiently active categories. Percept Mot Skills. 2015 Apr;120(2):604-22. doi: 10.2466/03.27.PMS.120v19x7. Epub 2015 Mar 23.

  PMID: 25799030 BACKGROUND

• Chogahara M. A multidimensional scale for assessing positive and negative social influences on physical activity in older adults. J Gerontol B Psychol Sci Soc Sci. 1999 Nov;54(6):S356-67. doi: 10.1093/geronb/54b.6.s356.

  PMID: 10625971 BACKGROUND

Related Links

• The National Center on Health, Physical Activity, and Disability

MeSH Terms

Conditions

Sedentary Behavior; Motor Activity

Condition Hierarchy (Ancestors)

Behavior

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: NONE
• Purpose: PREVENTION
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: assistant professor

Model Details: two groups, repeated measures, pre and post intervention measures

Study Record Dates

• First Submitted: December 16, 2021
• First Posted: January 31, 2022
• Study Start: June 1, 2024
• Primary Completion: August 1, 2025
• Study Completion: August 1, 2025
• Last Updated: September 9, 2025

Record last verified: 2025-09

Locations

US (1)