Skip to content

Diactive-1: Scaled-up Personalized mHealth Program for Youth With Type 1 Diabetes

Scaling up Personalized mHealth-supported Resistance Training and Education for Children and Adolescents With Type 1 Diabetes: The Diactive-1 v2.0 Randomized Controlled Trial

Status
Not yet recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07290868
Acronym
Diactive-1v2
Enrollment
158
Registered
2025-12-18
Start date
2026-01-31
Completion date
2027-03-31
Last updated
2025-12-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Type 1 Diabetes (T1D)

Keywords

mHealth, Resistance training, Education, Handgrip strength

Brief summary

The Diactive-1 project aims to establish the Diactive-1 mobile application as a clinical tool for managing type 1 diabetes in children and adolescents in several hospitals from Spain. The successful implementation of the app in new healthcare centers nationwide represents a key step toward the development of a comprehensive and scalable program. This approach seeks not only to optimize current patient care but also to democratize access to an innovative, evidence-based intervention that supports daily diabetes management. In this new phase, the project will integrate the application into routine clinical care for patients with type 1 diabetes through the use of a simple handgrip strength measurement. A dedicated web platform (www.diactive.es) is being developed to allow clinicians to enter basic patient data, including handgrip strength, sex, and email address. Based on this information, the system will automatically generate a personalized download link for the Diactive-1 app, accompanied by tailored guidance and an initial fitness level classification (low, medium, or high) according to European reference values. This process will define each user's baseline fitness level and facilitate the use of Diactive-1 as an integrated and individualized disease management tool. The ultimate goal is to strengthen clinical decision-making, improve patient engagement, and extend the benefits of digital health to a broader pediatric population living with type 1 diabetes.

Interventions

DEVICEDiactive-1

Participants will engage in a 12-week resistance exercise program with the goal of maintaining at least 3 sessions per week, with 3-6 exercises per session (≈13-33 minutes). Participants will be able to choose among three training formats, traditional resistance training, Tabata/high-intensity intervals, or circuit training, and may perform the sessions individually or in pairs, depending on preference and feasibility at the center. The training intervention will comprise 3-4 sets of 6-12 repetitions and will consist of a combination of exercises for the upper body, lower body, and core, using primarily the participants' own body weight. The load and intensity of the exercise will be adjusted according to the number of repetitions and the difficulty/progression of the selected exercises. A mobile application (Diactive-1) will be used to deliver, monitor, and record the sessions.

Sponsors

Universidad Pública de Navarra
CollaboratorOTHER
University of Valencia
CollaboratorOTHER
Instituto de Investigación Sanitaria de Navarra (IdiSNA)
CollaboratorUNKNOWN
Fundacion Miguel Servet
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
SINGLE (Investigator)

Eligibility

Sex/Gender
ALL
Age
10 Years to 18 Years
Healthy volunteers
No

Inclusion criteria

* Diagnosed with Type 1 Diabetes Mellitus (T1DM) for 6 months or longer (requiring \>0.5 U/kg/day of insulin and having HbA1c \>6%, i.e., not in the honeymoon phase). * Receiving multiple daily injection (MDI) therapy or insulin pump therapy (CSII). * Signed informed consent authorizing legal participation in the research project (child/adolescent and parent(s)/legal guardian). * Availability to participate in the study using an m-Health application (Diactive-1) designed for the programming of muscle-bone strengthening physical exercise. * Understanding of Spanish.

Exclusion criteria

* Comorbidities that limit the ability to engage in physical activity. * Lack of internet access when using the application, whether due to Wi-Fi, mobile data, or international roaming issues. * Absence of a mobile phone or tablet with an Android or iOS (Apple) operating system, or no family member willing to lend a device for each session using the application for study-related purposes.

Design outcomes

Primary

MeasureTime frameDescription
Change in handgrip strengthBaseline and 12 weeksHandgrip strength measured in kilograms using the Takei III Smedley Type Digital Dynamometer

Secondary

MeasureTime frameDescription
Change in glycated hemoglobinBaseline and 12 weeksGlycated hemoglobin (measured in percent)
Number of participants with good glycemic controlBaseline and 12 weeksNumber of participants with a glycated hemoglobin level lower than 7%
Change in time in rangeBaseline and 12 weeksThe percentage of time a person spends with their blood glucose levels in the target range (70-180 mg/dL or 3.9-10 mmol/L) (measured in percent)
Change in time below rangeBaseline and 12 weeksThe percentage of time a person spends with their blood glucose levels below the target range (\<70 mg/dL or \<3.9 mmol/L, i.e., hypoglycemia) (measured in percent)
Change in time above rangeBaseline and 12 weeksThe percentage of time a person spends with their blood glucose levels above the target range (\>180 mg/dL or 10 mmol/L, i.e., hyperglycemia) (measured in percent).
Change in glycemic variabilityBaseline and 12 weeksGlycemic variability measures the fluctuation in blood glucose levels over time, expressed as a percentage. Lower glycemic variability indicates more stable levels, while higher glycemic variability suggests greater fluctuations.
Change in compliance with 24-hour movement behaviorsBaseline and 12 weeksPhysical activity at different intensities (average min/day), sedentary time (average min/day) and sleep (average min/day) will be measured using self-reported questionnaires.
Change in self-reported physical activityBaseline and 12 weeksAerobic and muscle-strengthening activities will be assessed using two separate ad hoc questions. Participants will have response options ranging from 0 to 7 days per week, with increments of 1 day.
Change in self-reported physical fitnessBaseline and 12 weeksThe International Fitness Scale (IFIS) will be used to assess self-reported physical fitness. This scale includes five elements that will employ a 5-point Likert scale to inquire about children's overall perception of their physical fitness, as well as their perception of their cardiorespiratory fitness, muscular fitness, speed-agility, and flexibility compared to their peers. The Likert scale will provide choices ranging from 'very poor' to 'poor,' 'average,' 'good,' and 'very good' physical fitness.
Change in sleep durationBaseline and 12 weeksSleep duration will be determined by recording the number of hours slept each day
Change in physical literacyBaseline and 12 weeksPhysical literacy will be assessed using the Spanish Perceived Physical Literacy Instrument (S-PPLI), a 9-item questionnaire that evaluates three dimensions: knowledge and understanding; self-expression and communication; and sense of self and self-confidence
Change in daily insulin dose requirementBaseline and 12 weeksThe daily insulin dose requirements will be measured in units per kilogram of body weight. Assessment will rely on participant-reported data from insulin pumps or injection logs, gathered for 7 days prior to the intervention and after the intervention.
Adherence to the Mediterranean DietBaseline and 12 weeksFor assessing adherence to the Mediterranean Diet, the KIDMED index will be employed. This index provides a score on a scale of 0 to 12, with higher scores indicating stronger adherence.
Change in disordered eatingBaseline and 12 weeksDisordered eating will be screened using the mSCOFF questionnaire. This questionnaire consists of six straightforward yes/no questions. A positive response to two or more of these questions suggests a potential eating disorder, often requiring further evaluation.
Change in subjective well-beingBaseline and 12 weeksSubjective well-being will be assessed using the CUBE questionnaire, which comprises five items that evaluate different aspects of life satisfaction and emotional states.
Change in Health-Related Quality of LifeBaseline and 12 weeksHealth-Related Quality of Life will be evaluated using the Screening for and Promotion of Health-Related Quality of Life in Children and Adolescents (KIDSCREEN-10).
Change in Health-Related Quality of Life in the context of a chronic illnessBaseline 12 weeksHealth-Related Quality of Life in the context of a chronic illness will be evaluated using the Spanish version of the 'Questionnaire for Young People with Diabetes' (DISABKIDS).
Change in microalbuminuriaBaseline and 12 weeksMicroalbuminuria will be evaluated as an indicator of early kidney involvement. A first-morning urine sample will be collected, and the albumin-to-creatinine ratio (ACR) will be determined using standardized laboratory procedures. Values will be expressed in mg/g. Microalbuminuria will be defined as an ACR between 30 and 300 mg/g, according to international diabetes guidelines.
Change in retinal findingsBaseline and 12 weeksRetinal imaging will be performed to assess early signs of diabetic retinopathy. Images of both eyes will be captured following standard ophthalmologic protocols and evaluated by trained specialists. Findings will be categorized as no retinopathy, mild, moderate, or severe diabetic retinopathy, based on international classification criteria.
Change in body mass indexBaseline and 12 weeksWeight and height will be combined to report body mass index in kg/m\^2
App usability: user12 weeksThe usability of the app will be evaluated using the Spanish Version of the User Version of the Mobile Application Rating Scale (uMARS).
App usability: expert evaluation12 weeksWe will employ the Spanish adaptation of the Mobile Application Rating Scale (MARS), a standardized instrument for expert appraisal of mHealth applications.
Change in physical activity barriersBaseline and 12 weeksWe will use the Spanish adaptation of the Physical Activity Barriers Scale for pediatric type 1 diabetes (PABS-1), a validated instrument for assessing perceived barriers to physical activity in children and adolescents with type 1 diabetes

Countries

Spain

Contacts

Primary ContactAntonio García Hermoso, PhD
antonio.garciah@unavarra.es+34948 166194

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Aug 16, 2026