Young ADULT’S Preferred THEORY-BASED Behavioural and Technological Features in a Mobile Physical Activity Application
1VU university medical center, EMGO Institute for Health and Care Research, AMSTERDAM, Nederland
Background: Apps to increase physical activity (PA) are popular, but hardly include theory-based features. This study will examine how behavior change techniques (BCTs) and technological features can be used to target important determinants as social support and self-efficacy (SE). Additionally, the preferences and the intentions to use such features will be assessed. Method: Young adults (n~100) will complete an online questionnaire assessing constructs of PA, social influences, SE, their preferences, acceptance and usage of BCTs (e.g. monitoring, goal setting)using validated questionnaires. Associations of PA, social determinants and SE with the preferences will be estimated by regression analyses. Results: Results (available in May/June 2014) will describe the behavioral and technological preferences of young adults, e.g. proportions of participants that prefer SE promoting features in an app. Regression coefficients will describe the strength of PA, social determinants and SE with the specific preferences. Conclusion: Results will directly be used in the development of a new theory-based mobile intervention, aiming to empower young adults to be more physically active.