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Evaluation of the WARIFA App and Its Impact on Healthy Lifestyle

Instituto Universitario de Investigaciones Biomédicas y Sanitarias (iUIBS) de la Universidad de Las · 2025
ClinicalTrials.gov · Datasets · License: Public Domain · 2025
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The goal of this study is to assess the effect of the WARIFA app on the adoption of healthy lifestyle behaviours related to Non-communicable diseases (NCDs), as well as in the management of Type 1 Diabetes (T1D). This is done using user-generated data analysis, artificial intelligence (AI) and risk estimation to provide personalised recommendations on lifestyle-related behaviours through a mobile app. * Primary objective: the objective of this study is to assess the impact of using the WARIFA app on a series of outcomes, related to the promotion of healthy lifestyles and prevention of NCDs, as well as on the management of T1D. * Secondary objectives: to assess the feasibility of implementation of a complex health app (WARIFA), and to explore which outcomes are more relevant in this context for users. The study will evaluate the app in two different populations: * Population 1: Citizens living in Europe of either sex aged \> 18 years diagnosed with no more than one NCD (of the following: CVD, any type of cancer, chronic respiratory disease and T2D) and current owners of a smartphone with internet access. * Population 2: European adult individuals of either sex aged \>18 years with T1D currently using multiple daily insulin injections or an insulin pump and current owners of a smartphone with internet access. The study will be carried out in three centres in three different countries: the Instituto Universitario de Investigaciones Biomédicas y Sanitarias (iUIBS) in Spain, the Norwegian Centre for E-health Research (NSE) in Norway, and in Romania. Participants in each population will be randomised to an intervention or control arm on a 1:1 ratio: * Intervention arm: the Warifa app will be used by the participants throughout the study. The app will provide personalised risk estimations and recommendations through user-generated data analysis and artificial intelligence. * Control arm: The control group will use a Warifa app with the same functionalities than the i
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