ClinicalTrials.gg
RecruitingNCT06918444Updated Apr 9, 2025

Evaluation of the WARIFA App and Its Impact on Healthy Lifestyle

An interventional study of WARIFA app with AI and WARIFA app without AI in Lifestyle Intervention, Non Communicable Chronic Diseases and Type 1 Diabetes (T1D), sponsored by Instituto Universitario de Investigaciones Biomédicas y Sanitarias (iUIBS) de la Universidad de Las. Recruiting at 1 site in Spain. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2025-04-09.

Sponsored by Instituto Universitario de Investigaciones Biomédicas y Sanitarias (iUIBS) de la Universidad de Las · Not applicable, Interventional, and Prevention

From the registry’s dates

  • Primary completion was expected by May 2025, 1 year 4 months ago, but the record still lists the study as recruiting.
  • Started Feb 2025; still recruiting 1 year 8 months later.
Phase
Not applicable
Study type
Interventional
Enrollment
104
Allocation
Randomized
Ages
18 Years and older
Sex
All
01

Study summary

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 intervention arm, but without artificial intelligence.

At baseline, information will be collected by questionnaires and a physical examination, including anthropometry and a lipid profile. These measurements will be repeated in 12 weeks and will be compared between the treatment arms.

The study will last 3 months in total, start of recruitment on 10 February 2025, end of study after the last visit of the last participant, on 12 May 2025. Each user will participate in the study for 12 weeks.

02

Conditions studied

  • Lifestyle Intervention
  • Non Communicable Chronic Diseases
  • Type 1 Diabetes (T1D)

Keywords

  • AI (Artificial Intelligence)
  • Mobile app
  • Lifestyle intervention
  • Non Communicable Chronic Diseases
  • Risk Prediction Model
  • Type 1 Diabetes (T1D)
03

In context

Noncommunicable Diseases

131 studies on the registry are indexed under Noncommunicable Diseases; 46 are open to participants now.

This study's planned enrollment of 104 is below the median of 600 across 86 interventional studies indexed under Noncommunicable Diseases.

Browse Noncommunicable Diseases studies →

Lead sponsor

This is the only study on the registry with Instituto Universitario de Investigaciones Biomédicas y Sanitarias (iUIBS) de la Universidad de Las as lead sponsor.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Common for both population groups:
  • Adults over 18 years of age.
  • Owners of a smartphone operating with Android and with internet access.
  • Group 1: General population:
  • Healthy or diagnosed with no more than one NCD (CVD, any type of cancer, T2D or chronic respiratory disease).
  • Group 2: T1D:
  • Treatment with multiple subcutaneous insulin injections or an insulin pump.
  • Users of a continuous glucose monitor.

Exclusion criteria

Exclusion Criteria:

  • Common for both groups:
  • Pregnancy.
  • Mobile device which is incompatible with the WARIFA app (E.g. Apple devices).
  • Unable to understand any of the app languages (Spanish, English, Norwegian or Romanian).
  • Any reason which precludes follow-up, based on the researcher's criteria.
  • Group 1: General population
  • People with two or more NCDs.
05

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Quadruple (Participant, Care provider, Investigator, Outcomes assessor)
Enrollment
104 participants (estimated)

Study arms

  • Experimental
    Use of WARIFA app with artificial intelligence (AI)

    Participants will use a version of WARIFA app with artificial intelligence and personalized messages.

    Device: WARIFA app with AI

  • Placebo comparator
    Use of WARIFA app without artificial intelligence (AI)

    Participants will use a version of WARIFA app with the same functionalities as the intervention group, but without artificial intelligence and personalized messages.

    Device: WARIFA app without AI

Interventions

  • DeviceWARIFA app with AI

    Participants will be given access to the WARIFA app on their mobile phones during the study. This app will collect activity data as well as questionnaires and diaries. Using this data and artificial intelligence, it will provide participants with personalised information and recommendations about their lifestyle and risk of chronic non-communicable diseases.

  • DeviceWARIFA app without AI

    Participants will be given access to the WARIFA app on their cell phones during the study. This app will collect activity data, as well as through questionnaires and diaries. With this data, it will give information and general recommendations to the participants related to their lifestyle habits and risks of chronic non-communicable diseases, following the WHO guidelines. This version will not use artificial intelligence or personalized messages.

06

What researchers measure

Primary outcomes

  1. Self-defined goal by the participants

    Degree of achievement of a self-defined goal by the participants (selected among: increase consumption on fruit and vegetables, increase physical activity, reduce alcohol consumption, stop smoking, reduce number of weekly hypoglycaemic episodes, or improve sun protective behaviours). It will be measured on a Likert scale, with scores ranging from 1 ('well below expectations') to 10 ('well above expectations').

    Time frame: At the end of intervention at 12 weeks

Secondary outcomes

  1. Frequency of app use

    Number of times users access the app (number of times per day). Direct adherence.

    Time frame: From enrollment to the end of intervention at 12 weeks

  2. Time spent using the app

    Time spent using the app (number of hours per day). Direct adherence.

    Time frame: From enrollment to the end of intervention at 12 weeks

  3. Consistency in data recording

    Assessment of the regularity with which users record information related to healthy habits, healthy eating and physical activity. Direct adherence.

    Time frame: From enrollment to the end of intervention at 12 weeks

  4. ABACUS scale

    The validated App Behaviour Change Scale (ABACUS). Attitudinal/Behavioural Change. The ABACUS scale was designed to measure the potential behavior change of apps. It consists of 21 items grouped into 4 categories: knowledge and information (5 items), goals and planning (3 items), feedback and monitoring (7 items), and actions (6 items). Each item represents a behavior change technique, and its inclusion in the app is rated dichotomously (behavior change technique not included = 0 or included = 1). Higher score means more potential behavioural change of apps.

    Time frame: At the enrollment and the end of intervention at 12 weeks

  5. Changes in eating habits

    Assessment of changes in diet quality (changes in consumption of fruits, vegetables, processed foods…). Diary recording of fruit, vegetable, and processed meat consumption will be used. Attitudinal/Behavioural Change.

    Time frame: From enrollment to the end of intervention at 12 weeks

  6. Changes in physical activity

    Data collected through a compatible smartwatch (number of steps) will be recorded. Attitudinal/Behavioural Change.

    Time frame: From enrollment to the end of intervention at 12 weeks

  7. Reduction in tobacco consumption

    Diary records of tobacco consumption will be used (number of cigarettes per day). Attitudinal/Behavioural Change.

    Time frame: From enrollment to the end of intervention at 12 weeks

  8. Reduction in alcohol consumption

    Diary records of alcohol consumption will be used (Number of units of alcoholic beverages per day). Attitudinal/Behavioural Change.

    Time frame: From enrollment to the end of intervention at 12 weeks

  9. Changes in sun protection behaviour

    sun habits questionnaire score wil be used. Attitudinal/Behavioural Change

    Time frame: At the enrollment and the end of intervention at 12 weeks

  10. Changes in sun protection behaviour

    Daily record of sunscreen use. Attitudinal/Behavioural Change

    Time frame: From enrollment to the end of intervention at 12 weeks

  11. Hypoglycaemic events

    The continuous glucose monitor data from participants will be used (number of hypoglycaemic events). Biomedical outcomes

    Time frame: From enrollment to the end of intervention at 12 weeks

  12. Hypoglycaemic events

    Diary records of manually recorded hypoglycaemic events (number of hypoglycaemic events). Biomedical outcomes.

    Time frame: From enrollment to the end of intervention at 12 weeks

  13. Glycosylated haemoglobin

    Will be measured in venous blood. Unit of measurement: %. Biomedical outcomes.

    Time frame: At the enrollment and the end of intervention at 12 weeks

  14. Glucose Management Indicator

    Glucose Management Indicator in the last 14 days. Unit of measurement: %. Biomedical outcome

    Time frame: From enrollment to the end of intervention at 12 weeks

  15. Average glucose

    Average glucose in the last 14 days. Unit of measurement: mg/dl. Biomedical outcomes.

    Time frame: From enrollment to the end of intervention at 12 weeks

  16. Time in ranges

    Times in glucose range for the last 14 days, measured by the participants' glucose sensor. Unit of measurement: %. Biomedical outcomes.

    Time frame: From enrollment to the end of intervention at 12 weeks

  17. Total cholesterol

    Total cholesterol, measured through a venous blood sample. Unit of measurement: mg/dl. Biomedical outcomes.

    Time frame: At the enrollment and the end of intervention at 12 weeks

  18. HDL cholesterol

    HDL cholesterol, measured through a venous blood sample. Unit of measurement: mg/dl. Biomedical outcomes.

    Time frame: At the enrollment and the end of intervention at 12 weeks

  19. LDL cholesterol

    LDL cholesterol, measured through a venous blood sample. Unit of measurement: mg/dl. Biomedical outcomes.

    Time frame: At the enrollment and the end of intervention at 12 weeks

  20. Non-HDL cholesterol

    Non-HDL cholesterol, measured through a venous blood sample. Unit of measurement: mg/dl. Biomedical outcomes.

    Time frame: At the enrollment and the end of intervention at 12 weeks

  21. Muscle mass.

    Muscle mass. Measured by impedanciometry. Unit of measurement: Kg. Biomedical outcomes.

    Time frame: At the enrollment and the end of intervention at 12 weeks

  22. Fat mass

    Fat mass. Measured by impedanciometry. Unit of measurement: Kg. Biomedical outcomes.

    Time frame: At the enrollment and the end of intervention at 12 weeks

  23. Weight

    Weight of each participant. Unit of measurement: Kg. Biomedical outcomes

    Time frame: At the enrollment and the end of intervention at 12 weeks

  24. Height

    Height of each participant. Unit of measurement: cm. Biomedical outcomes

    Time frame: At the enrollment

  25. Circumference of abdomen.

    Circumference of abdomen. Unit of measurement: cm. Biomedical outcomes

    Time frame: At the enrollment and the end of intervention at 12 weeks

  26. Circumference of the calf

    Circumference of the calf. Unit of measurement: cm. Biomedical outcomes

    Time frame: At the enrollment and the end of intervention at 12 weeks

  27. Dynamometry

    Functional test, using a dynamometer in each participant's hand. Unit of measurement: Kg. Biomedical outcomes

    Time frame: At the enrollment and the end of intervention at 12 weeks

  28. Body fat.

    Measured by plicometer in the posterior region of the upper arm (triceps area). Unit of measurement: mm. Biomedical outcomes.

    Time frame: At the enrollment and the end of intervention at 12 weeks

  29. Chair test 5 repetitions

    Functional test, which measures the time taken to stand up and sit down from a chair 5 times. Unit of measurement: seconds. Biomedical outcomes.

    Time frame: At the enrollment and the end of intervention at 12 weeks

  30. Perceived quality of life

    The EQ-5D questionnaire will be used for the group from the general population. Quality of Life and Wellbeing. Questionnaire with two distinct parts. The first part contains five health dimensions (mobility, self-care, activities of daily living, pain/discomfort and anxiety/depression). For each dimension of the EQ-5D, severity levels are coded: 1 if the answer choice is 'no (I have) problems'; 2 if the answer choice is 'some or moderate problems'; and 3 if the answer choice is 'many problems'. The higher the score, the worse the health dimension. The second part of the EQ-5D is a scale from 0 to 100. On this scale, the individual should mark the point that best reflects their assessment of their overall health status, with 0 being the lowest assessment of their health status and 100 being the best.

    Time frame: At the enrollment and the end of intervention at 12 weeks

  31. Perceived quality of life

    The "Vida con Diabetes tipo 1" (ViDa1) questionnaire will be used for the group of individuals with T1D. Quality of Life and Wellbeing. The ViDa1 has 34 items that are grouped into 4 different dimensions: interference with life, self-care, well-being and worry about the disease. It is a questionnaire that can be self-administered with a Likert-type response format in which a total score per subscale is obtained. Interference with life: (items 1 - 12), self-care (13 - 23), well-being (24 - 29) and worry about illness (30 - 34). Each item is scored from 1 'strongly disagree' to 5 'strongly agree'. For correction, the scores obtained in each subscale are added together. Items 12, 23 and 27 are reversed for correct interpretation.

    Time frame: At the enrollment and the end of intervention at 12 weeks

  32. Acquired knowledge

    Assessment of new knowledge about healthy habits. The European Health Literacy Survey will be used. Knowledge and Attitudes. The questionnaire consists of 16 questions that classify the degree of difficulty perceived by the participant in each task or situation as: 1 'very easy', 2 'easy', 3 "difficult", 4 'very difficult' or 5 'don't know/no answer'.

    Time frame: At the enrollment and the end of intervention at 12 weeks

  33. Self-efficacy

    For measuring diabetes self-management behaviours, we will use the Summary of Diabetes Self-Care Activities (SDSCA). Knowledge and Attitudes. Is a brief self-report questionnaire of diabetes self-management that includes items assessing the following aspects of the diabetes regimen. It consists of 11 items that addresses different areas of self-care present in people with Diabetes Mellitus, such as diet, physical activity, medication, self-testing of capillary glycaemia and smoking. It presents a response scale from 0 to 7, depending on the number of days that the person has carried out a certain behaviour in the last week. The smoking item has a dichotomous response scale. The lower the score, the lower the adherence of the person with MD to favourable self-care behaviours. The questionnaire has no cut-off point, so each item must be assessed individually.

    Time frame: At the enrollment and the end of intervention at 12 weeks

  34. Usability

    Usability scale (SUS) will be used. Satisfaction and feedback. The SUS scale is a 10-item questionnaire scored on a 5-point Likert-type scale from 1 (strongly disagree) to 5 (strongly agree). It is arranged to alternate between positive and negative statements to avoid habitual bias from the respondent. The score contribution for the odd items (the positive statements) is the scale position minus 1 and the contribution for the even items (the negative statements) is 5 minus the scale position. The overall score is calculated from the sum of all item scores multiplied by 2.5, with the overall score ranging from 0 to 100. A system with a score above 85 is considered to have excellent usability, whereas a system with a score between 68 and 84 is considered to have good usability.

    Time frame: At the enrollment and the end of intervention at 12 weeks

  35. Usability

    The mHealth App Usability Questionnaire (MAUQ) will be used. Satisfaction and feedback. It assesses the ease of use, interface, satisfaction and usefulness of mHealth applications for end users. Consists of 18 items, with 7 response options for each item, ranging from 1 "strongly disagree" to 7 "strongly agree".

    Time frame: At the enrollment and the end of intervention at 12 weeks

07

Study locations

1 of 1 sites recruiting
  • Instituto Universitario De Investigaciones Biomédicas y Sanitarias (IUIBS)
    Las Palmas de Gran Canaria, Las Palmas 35016, Spain
    • Juan Carmelo Betancort Acosta · Contact · carmelo.betancort@fpct.ulpgc.es · +34 646068951
    • Ana Wägner, PhD · Principal investigator
    • Juan Carmelo Betancort Acosta, MD · Sub investigator
    • María Luisa Álvarez Malé, PhD · Sub investigator
    • Garlene Zamora Zamorano · Sub investigator
    • Kristina Reyes Suárez · Sub investigator
    Recruiting
08

References and documents

Publications

  • Betancort Acosta C, Zamora Zamorano G, Alvarez Male ML, Perestelo-Perez L, Torres Castano A, Veierod MB, Reyes Suarez K, Deniz Garcia A, Arsand E, Torhild Gram I, Lochen ML, Soguero-Ruiz C, Henriksen A, Rodriguez Almeida AJ, Muzny M, Valimaki R, Schopf T, Fabelo H, Granja C, Wagner AM. Effect of a Personalized Mobile Health Intervention Using Artificial Intelligence (the WARIFA App) Versus a Nonpersonalized Intervention on User-Defined Objectives, Healthy Lifestyles, and Management of Type 1 Diabetes (T1D): Protocol for a Randomized Controlled Trial. JMIR Res Protoc. 2026 May 22;15:e84510. doi: 10.2196/84510. PubMed 42172625 ↗

Individual participant data

Plan to share: No — The study will be conducted in three European countries, in compliance with both national and European data protection laws.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Started Feb 2025 (actual). Primary completion is estimated for May 2025, 3 months after the start.

Of 70 non-industry interventional studies with no phase under Noncommunicable Diseases, half reached primary completion within 16 months of starting (the median), counting those still running; a quarter within 8 and three quarters within 31. This study's planned 3 months is below that.

Counting every sponsor, half of 70 studies reached it within 16 months; a quarter within 8 and three quarters within 31.

Noncommunicable Diseases covers many different conditions, not one, so the studies compared here vary widely. Read these figures as a rough guide.

How these figures are worked out, and which studies are left out of them.

Registered
Oct 6, 2024
First posted
Apr 9, 2025
StartActual
Feb 24, 2025
Primary completionEst.
May 29, 2025
CompletionEst.
May 29, 2025
Last update
Apr 9, 2025
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Apr 9, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06918444
Lead sponsor
Instituto Universitario de Investigaciones Biomédicas y Sanitarias (iUIBS) de la Universidad de Las
Collaborators
Complejo Hospitalario Universitario Insular Materno Infantil
Responsible party
Rosa María Sánchez Hernández (MD, PhD, Complejo Hospitalario Universitario Insular Materno Infantil) — Principal investigator
First posted
Apr 9, 2025
Start date
Feb 24, 2025
Primary completion
May 29, 2025 (estimated)
Completion
May 29, 2025 (estimated)
Last update
Apr 9, 2025

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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