Move it, Move ID! Promotion of Physical Activity in Adolescents With Intellectual Disability
- Conditions
- Physical ActivityHealth PromotionAdolescentsIntellectual Disability
- Interventions
- Behavioral: theory-based mHealth-intervention (app)
- Registration Number
- NCT05149443
- Lead Sponsor
- University Ghent
- Brief Summary
The aim of this study is to develop and implement an mHealth intervention focusing on the promotion of physical activity in adolescents with intellectual disability.
- Detailed Description
Overweight and obesity are globally challenging health problems and major risk factors for a number of chronic diseases, including diabetes, cardiovascular diseases and cancer. Sufficient physical activity (PA) is an important protective factor in the development of overweight and obesity. Adolescents with intellectual disability (ID) report lower levels of PA and higher rates of overweight and obesity in comparison to adolescents without ID. There is a dire need to find ways to promote PA in adolescents with ID for their present and future health. However, while PA promotion in adolescents is a welldeveloped science, there is only a handful of studies dedicated to adolescents with ID. Consequently developing and designing PA promotion interventions specifically tailored to the needs of youth with ID is of the utmost importance. Currently, however, there is a real knowledge gap in terms of fundamental research on crucial intervention mechanisms to promote PA in adolescents with ID, as well as specific behaviour change theories adapted to this population. The aim of the current research project is to co-create and evaluate a theory-based mHealth intervention, which focuses on increasing PA for adolescents with ID.
The underlying framework within the intervention development is the Behaviour Change Wheel, together with a co-creation approach which is a bottom-up approach in which the target group (adolescents with ID in this case) is actively involved in the development of the intervention. The result of this approach is contextually appropriate intervention and intervention strategies.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 25
- Adolescents with mild ID
- Dutch speaking
- Having a smartphone or tablet (or being able to use a test smartphone from the research group)
- Having enough motor skills to engage in PA
- Adolescents with moderate, severe or profound ID
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Arm && Interventions
Group Intervention Description Effectiveness of the Move it, Move ID app theory-based mHealth-intervention (app) All participants will receive the Move it, Move ID app.
- Primary Outcome Measures
Name Time Method Physical Activity 32 days (post-test) The primary outcome of the intervention is PA. To objectively measure PA, participants will be asked to wear an accelerometer (e.g., Axivity AX3).
The purpose of buddies wearing an Axivity is to be able to explain effects afterwards regarding whether or not having a cooperating buddy during the intervention period. The Axivity will be worn on the wrist and is waterproof. As such, participants do not have to remove the Axivity during the intervention period countering the issue of non-wear.
- Secondary Outcome Measures
Name Time Method Engagement (with the app) 32 days (post-test) Engagement will be measured through the use of subjective and objective measures. Experiential engagement will be assessed using the User Engagement Scale Short Form (UES-SF). Items will be assessed after the B2 intervention phase. In case of difficulties with literacy, buddies will be asked to help the participants fill in the questionnaire. However, research among people with ID shows that Likert scales are easily understood and meaningful to the respondents. In addition, individual semi-structured interviews (e.g.
immediately post-intervention, so after B2) will be conducted to learn more about users' experiences of the intervention components. Behavioural engagement will be assessed via objective measures (usage data). A log data analysis will be conducted to track use patterns, including number of logins, their time spent online and the moment that a participant stops using the application (e.g. drop-out).
Trial Locations
- Locations (1)
Ghent University
🇧🇪Ghent, Belgium