Life Style, HealthyDELPHINCT07612852
Digital Engagement for Lifelong Health
A study testing DELPHI Personalized Digital Prevention Platform in people with Life Style, Healthy and Risk Reduction, run by Istituto per la Ricerca e l'Innovazione Biomedica at 1 site in Italy.
Trial summary
The DELPHI project (Digital Engagement for Lifelong Prevention and Health Improvement) aims to develop, implement, and validate an advanced digital platform for promoting well-being and personalized prevention of chronic non-communicable diseases in healthy adults. Read more about this study
- Who is it for?
- Ages 18 to 65 yearsHealthy volunteers can take part
- Conditions the study is for
- Life Style, Healthy, Risk Reduction, Health Promotion
- What is being tested?
- DELPHI Personalized Digital Prevention Platform
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 200 participants
- Where
- 1 siteItaly
- Study dates
- 4 May 2026to 30 Mar 2027
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 65 years
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- Apparent good general health status, confirmed by medical history and initial self-assessment.
- Ability to understand the study information and provide informed consent.
- Availability and motivation to participate for the entire duration of the study (12 months).
- Access to a smartphone compatible with the DELPHI application.
- Willingness to wear the wearable devices for continuous monitoring of physiological parameters.
- Basic familiarity with mobile applications or willingness to receive training on their use.
- Signed informed consent.
Who cannot join
- Presence of severe chronic diseases in active phase (e.g., oncological, cardiovascular, or neurological diseases).
- Acute or unstable conditions that could compromise participation in the protocol.
- Current pregnancy.
- Diagnosed major cognitive or psychiatric disorders that hinder understanding of or adherence to the protocol.
- Current use of medications that significantly affect the parameters being monitored (e.g., psychotropic drugs, beta-blockers).
- Simultaneous participation in other clinical studies.
- Logistical difficulties that prevent frequent interaction with the platform (e.g., lack of connection, unwillingness to attend periodic follow-ups).
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
Maria Valeria Maiorana contact
Italy1 site, 1 recruiting
- Recruiting
Institute for Biomedical Research and Innovation (IRIB)-National Reasearch Council (CNR)
Messina, 98164
Serena Iacono Isidoro, +393281655820, serena.iaconoisidoro@irib.cnr.it
Gennaro Tartarisco
About this study
Official title: Digital Engagement for Lifelong Prevention and Health Improvement
The DELPHI project (Digital Engagement for Lifelong Prevention and Health Improvement) aims to develop, implement, and validate an advanced digital platform for promoting well-being and personalized prevention of chronic non-communicable diseases in healthy adults. By integrating wearable sensors, artificial intelligence, federated learning, and the Human Digital Twin (HDT) paradigm, the DELPHI platform is designed to collect, analyze, and interpret multidimensional data in order to deliver dynamic and personalized recommendations for healthy lifestyles.
The study adopts a multicenter, randomized controlled pilot design, with a maximum duration of 12 months per participant. A total of 200 healthy adults aged 18-65 will be recruited in Southern Italy (Sicily, Campania, and Basilicata) and randomly assigned to either: (1) an experimental group using the full DELPHI platform, including personalized recommendations, adaptive content, and continuous feedback; or (2) a control group using a basic version limited to passive monitoring.
Read more
As a non-clinical primary prevention pilot study, DELPHI aims to assess the operational feasibility, usability, and acceptability of the platform in real-world settings, while also exploring preliminary signals of impact on health and lifestyle domains without confirmatory purposes. Secondary objectives include monitoring physiological indicators, adherence to the app and wearable devices, and evaluating the feasibility of implementing the platform in workplace environments.
Data collection will rely on wearable devices, digital questionnaires, and behavioral analysis, with strong safeguards for personal data protection in compliance with GDPR and advanced security approaches such as federated learning and encryption.
Specific subgroups, including workers from the Fondazione Don Carlo Gnocchi (FDG) as well as university staff and students, will be involved in targeted assessments related to mental well-being and distress. In addition, workers from the FDG will test a virtual reality module designed to evaluate biomechanical overload risks during manual handling activities in simulated environments. These additional physiological and virtual reality components are exploratory and non-diagnostic.
Overall, DELPHI seeks to provide a solid foundation for the adoption of predictive and personalized models in digital health, contributing to the development of a sustainable and accessible prevention ecosystem, particularly in Southern Italy.
- Conditions
- Life Style, Healthy, Risk Reduction, Health Promotion
- Being tested
- DELPHI Personalized Digital Prevention Platform, Passive Digital Monitoring Control
- Keywords
- health, digitalization, prevention
- Medical subject headings
- Risk Reduction Behavior
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
DELPHI Personalized Digital Prevention PlatformOther
the full version of the DELPHI digital platform, designed to support personalized primary prevention and health promotion. The intervention includes continuous monitoring through wearable sensors (Fitbit Inspire 3), mobile app-based data collection, and adaptive lifestyle recommendations generated by artificial intelligence algorithms within a Human Digital Twin framework.
Participants will receive personalized feedback and notifications related to physical activity, sleep, nutrition, hydration, stress management, and psychological well-being. The platform also delivers multimedia educational content, including guided exercises, mindfulness and breathing practices, wellness educational videos, and behavioral micro-actions. Data collected through wearable devices, digital questionnaires, and behavioral monitoring are used to dynamically tailor recommendations and preventive strategies throughout the study period.
Passive Digital Monitoring ControlOther
Participants assigned to the control group will use a limited version of the DELPHI application restricted to passive monitoring functions. The application will collect data from wearable devices and questionnaires related to physical activity, sleep, nutrition, and well-being, but participants will not receive personalized recommendations, adaptive educational content, interactive feedback, or behavioral notifications.
The control condition is intended to provide observational digital monitoring only, without active preventive intervention or AI-based personalization.
| Study group | Role | What they receive |
|---|---|---|
| Experimental group | Experimental | Participants will use the full version of the DELPHI platform, including wearable sensors, mobile app-based data collection, personalized recommendations generated through artificial intelligence algorithms, multimedia content (physical exercises, mindfulness activities, and educational videos), as well as interactive notifications and feedback. Receives: Other: DELPHI Personalized Digital Prevention Platform |
| Control group | Other | Participants will access a limited version of the application restricted to passive monitoring functions only, without personalized recommendations, adaptive content, or interactive notifications. Receives: Other: Passive Digital Monitoring Control |
What is being measured
The primary outcome is the main question the study is designed to answer.
World Health Organization Quality of Life (WHOQoL)
The World Health Organization Quality of Life (WHOQoL) is a questionnaire used to assess quality of life.The WHOQOL-BREF, its short form, includes 26 items and evaluates four domains: physical health, psychological health, social relationships, and environment. It does not generate a single total score; instead, it provides separate domain scores, with higher values indicating better quality of life
Measured: Baseline and 6 months
Depression, Anxiety, and Stress Symptoms (DASS-21)
The Depression, Anxiety and Stress Scales-21 (DASS-21) is a 21-item self-report instrument designed to assess the severity of depression, anxiety, and stress symptoms. It consists of three subscales, each containing 7 items, and uses a 4-point response format. The scale provides separate scores for depression, anxiety, and stress rather than a single diagnostic score.
- Depression: normal 0-9, mild 10-13, moderate 14-20, severe 21-27, extremely severe 28+.
- Anxiety: normal 0-7, mild 8-9, moderate 10-14, severe 15-19, extremely severe 20+.
- Stress: normal 0-14, mild 15-18, moderate 19-25, severe 26-33, extremely severe 34+.
Measured: Baseline and 6 months
Beck Depression Inventory-II (BDI-II)
The Beck Depression Inventory-II (BDI-II) is a 21-item self-report instrument designed to measure the severity of depressive symptoms over the past two weeks. Each item is rated on a 0 to 3 scale, and the total score ranges from 0 to 63.
The total BDI-II score is calculated by summing all 21 items, giving a range from 0 to 63. Common interpretive cut-offs are: minimal depression 0-13, mild 14-19, moderate 20-28, and severe 29-63
Measured: Baseline and 6 months
International Physical Activity Levels (IPAQ)
The International Physical Activity Questionnaire (IPAQ) is a self-report instrument designed to assess physical activity levels over the previous 7 days. It provides both a categorical score, classifying individuals as low, moderate, or high active, and a continuous score expressed as MET-minutes per week.
- Categorical score: low, moderate, or high physical activity.
- Continuous score: total physical activity expressed as MET-minutes/week.
The continuous score is calculated using standard MET values:
- Walking = 3.3 METs.
- Moderate activity = 4.0 METs.
- Vigorous activity = 8.0 METs.
Measured: Baseline and 6 months
Prevention with Mediterranean Diet (PREDIMED)
The Prevention with Mediterranean Diet (PREDIMED) questionnaire is a 14-item tool designed to assess adherence to the Mediterranean diet. Each item is scored as 0 or 1, and the total score ranges from 0 to 14, with higher scores indicating greater adherence to the Mediterranean dietary pattern.
Measured: Baseline and 6 months
Secondary outcomes (6)
Heart Rate
Average heart rate measured through wearable sensors in beats per minute (bpm). Normal resting heart rate in adults is commonly about 60 to 100 bpm
Measured: Continuously monitored from baseline to 6 months
Heart Rate Variability (HRV)
Nocturnal heart rate variability measured in milliseconds using wearable sensors.
Measured: Continuously monitored from baseline to 6 months
Body Weight
Change in body weight measured in kilograms (kg).
Measured: Baseline, every 2 weeks during the 6-month intervention period and 6 months
Body Mass Index (BMI)
adults, BMI is usually interpreted as follows: Underweight: below 18.5 Healthy weight: 18.5 to 24.9 Overweight: 25.0 to 29.9 Obesity: 30.0 or above
Measured: Baseline and 6 months
Nutritional Intake
Daily caloric, macronutrient, and micronutrient intake measured through in-app food diary records.
Measured: Weekly monitoring from baseline to 6 months
Mental Well-Being Weekly Check-in Scores
Weekly emotional well-being indicators measured through a 6-item Likert-scale in-app questionnaire assessing mood, calmness, energy, tension, and distress.
Measured: Weekly from baseline to 6 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted29 May 2026
- Study start4 May 2026
- Primary completion30 Nov 2026 (estimated)
- Study completion30 Mar 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (13)Papers the sponsor has linked to this study.
- Other trials for Life Style, HealthyStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Prevention
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Enrolment
- 200 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Istituto per la Ricerca e l'Innovazione Biomedica
- Sponsor type
- University, hospital or other
- Collaborators
- Fondazione Don Carlo Gnocchi ETS, Universita degli Studi di Palermo, Medilink s.r.l.
- Responsible party
- Principal investigator, Gennaro Tartarisco, Istituto per la Ricerca e l'Innovazione Biomedica
- Investigators
- Gennaro Tartarisco, Principal investigator, Institute for Biomedical Research and Innovation (IRIB)-National Reasearch Council (CNR)
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07612852
- Sponsor's protocol ID
- CNR-IRIB-PRO-2026-004
- Acronym
- DELPHI
- Status last verified
- May 2026
- First submitted
- 19 May 2026
- Last updated
- 29 May 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Moon J, Ju BK. Wearable sensors for healthcare of industrial workers: a scoping review. Electronics. 2024;13(19):3849. doi:10.3390/electronics13193849.
Gray R, Indraratna P, Lovell N, Ooi SY. Digital health technology in the prevention of heart failure and coronary artery disease. Cardiovasc Digit Health J. 2022 Dec 15;3(6 Suppl):S9-S16. doi: 10.1016/j.cvdhj.2022.09.002. eCollection 2022 Dec.
PubMed 36589760Takahashi S, Yamamoto T. [apoE receptor 2]. Nihon Rinsho. 2001 Feb;59 Suppl 2:325-8. No abstract available. Japanese.
PubMed 11351599Brough P, Timms C, Chan XW, et al. Work-life balance: definitions, causes, and consequences. In: Theorell T, ed. Handbook of Socioeconomic Determinants of Occupational Health. Springer; 2020. doi:10.1007/978-3-030-05031-3_20-1
Zangger M, Wälchli C, Stefenelli U, et al. The use of mobile health applications for the prevention of non-communicable diseases. Health Technol. 2021; 11: 585-593. doi:10.1007/s12553-021-00536-8.
Marcolino MS, Oliveira JAQ, D'Agostino M, Ribeiro AL, Alkmim MBM, Novillo-Ortiz D. The Impact of mHealth Interventions: Systematic Review of Systematic Reviews. JMIR Mhealth Uhealth. 2018 Jan 17;6(1):e23. doi: 10.2196/mhealth.8873.
PubMed 29343463Choe EK, Klasnja P, Pratt W. mHealth and applications. In: Shortliffe EH, Cimino JJ, eds. Biomedical Informatics. Springer; 2021. doi:10.1007/978-3-030-58721-5_19.
Eurofound. Psychosocial risks to workers' well-being: lessons from the COVID-19 pandemic. European Working Conditions Telephone Survey 2021 series. Publications Office of the European Union; 2023.
Jakob R, Harperink S, Rudolf AM, Fleisch E, Haug S, Mair JL, Salamanca-Sanabria A, Kowatsch T. Factors Influencing Adherence to mHealth Apps for Prevention or Management of Noncommunicable Diseases: Systematic Review. J Med Internet Res. 2022 May 25;24(5):e35371. doi: 10.2196/35371.
PubMed 35612886Debon R, Coleone JD, Bellei EA, De Marchi ACB. Mobile health applications for chronic diseases: A systematic review of features for lifestyle improvement. Diabetes Metab Syndr. 2019 Jul-Aug;13(4):2507-2512. doi: 10.1016/j.dsx.2019.07.016. Epub 2019 Jul 9.
PubMed 31405669Laffond A, Rivera-Picon C, Rodriguez-Munoz PM, Juarez-Vela R, Ruiz de Vinaspre-Hernandez R, Navas-Echazarreta N, Sanchez-Gonzalez JL. Mediterranean Diet for Primary and Secondary Prevention of Cardiovascular Disease and Mortality: An Updated Systematic Review. Nutrients. 2023 Jul 28;15(15):3356. doi: 10.3390/nu15153356.
PubMed 37571293WHO global status report on alcohol and health and treatment of substance use disorders. Geneva: World Health Organization; 2024
Bull FC, Al-Ansari SS, Biddle S, Borodulin K, Buman MP, Cardon G, Carty C, Chaput JP, Chastin S, Chou R, Dempsey PC, DiPietro L, Ekelund U, Firth J, Friedenreich CM, Garcia L, Gichu M, Jago R, Katzmarzyk PT, Lambert E, Leitzmann M, Milton K, Ortega FB, Ranasinghe C, Stamatakis E, Tiedemann A, Troiano RP, van der Ploeg HP, Wari V, Willumsen JF. World Health Organization 2020 guidelines on physical activity and sedentary behaviour. Br J Sports Med. 2020 Dec;54(24):1451-1462. doi: 10.1136/bjsports-2020-102955.
PubMed 33239350
Study at a glance
From the registry record, last updated by the sponsor on 29 May 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Digital Engagement for Lifelong Prevention and Health Improvement
- ClinicalTrials.gov ID
- NCT07612852
- Acronym / sponsor ID
- DELPHI / CNR-IRIB-PRO-2026-004
- Conditions
- Life Style, Healthy, Risk Reduction, Health Promotion
- Keywords
- health, digitalization, prevention
- Study type
- Interventional
- Recruitment status
- Recruiting
- Enrolment
- 200 participants (estimated)
- Lead sponsor
- Istituto per la Ricerca e l'Innovazione BiomedicaUniversity, hospital or other
- Collaborators
- Fondazione Don Carlo Gnocchi ETS, Universita degli Studi di Palermo, Medilink s.r.l.
- Study start
- 4 May 2026 (actual)
- Primary completion
- 30 Nov 2026 (estimated)
- Study completion
- 30 Mar 2027 (estimated)
- First posted
- 29 May 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The DELPHI project (Digital Engagement for Lifelong Prevention and Health Improvement) aims to develop, implement, and validate an advanced digital platform for promoting well-being and personalized prevention of chronic non-communicable diseases in healthy adults. By integrating wearable sensors, artificial intelligence, federated learning, and the Human Digital Twin (HDT) paradigm, the DELPHI platform is designed to collect, analyze, and interpret multidimensional data in order to deliver dynamic and personalized recommendations for healthy lifestyles.
The study adopts a multicenter, randomized controlled pilot design, with a maximum duration of 12 months per participant. A total of 200 healthy adults aged 18-65 will be recruited in Southern Italy (Sicily, Campania, and Basilicata) and randomly assigned to either: (1) an experimental group using the full DELPHI platform, including personalized recommendations, adaptive content, and continuous feedback; or (2) a control group using a basic version limited to passive monitoring.
As a non-clinical primary prevention pilot study, DELPHI aims to assess the operational feasibility, usability, and acceptability of the platform in real-world settings, while also exploring preliminary signals of impact on health and lifestyle domains without confirmatory purposes. Secondary objectives include monitoring physiological indicators, adherence to the app and wearable devices, and evaluating the feasibility of implementing the platform in workplace environments.
Data collection will rely on wearable devices, digital questionnaires, and behavioral analysis, with strong safeguards for personal data protection in compliance with GDPR and advanced security approaches such as federated learning and encryption.
Specific subgroups, including workers from the Fondazione Don Carlo Gnocchi (FDG) as well as university staff and students, will be involved in targeted assessments related to mental well-being and distress. In addition, workers from the FDG will test a virtual reality module designed to evaluate biomechanical overload risks during manual handling activities in simulated environments. These additional physiological and virtual reality components are exploratory and non-diagnostic.
Overall, DELPHI seeks to provide a solid foundation for the adoption of predictive and personalized models in digital health, contributing to the development of a sustainable and accessible prevention ecosystem, particularly in Southern Italy.
Study design
- Primary purpose
- Prevention
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Experimental group | Experimental | Other: DELPHI Personalized Digital Prevention PlatformParticipants will use the full version of the DELPHI platform, including wearable sensors, mobile app-based data collection, personalized recommendations generated through artificial intelligence algorithms, multimedia content (physical exercises, mindfulness activities, and educational videos), as well as interactive notifications and feedback. |
| Control group | Other | Other: Passive Digital Monitoring ControlParticipants will access a limited version of the application restricted to passive monitoring functions only, without personalized recommendations, adaptive content, or interactive notifications. |
Who may qualify
- Ages
- 18 to 65 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (7 listed)
- Apparent good general health status, confirmed by medical history and initial self-assessment.
- Ability to understand the study information and provide informed consent.
- Availability and motivation to participate for the entire duration of the study (12 months).
- Access to a smartphone compatible with the DELPHI application.
- Willingness to wear the wearable devices for continuous monitoring of physiological parameters.
Key exclusion criteria (7 listed)
- Presence of severe chronic diseases in active phase (e.g., oncological, cardiovascular, or neurological diseases).
- Acute or unstable conditions that could compromise participation in the protocol.
- Current pregnancy.
- Diagnosed major cognitive or psychiatric disorders that hinder understanding of or adherence to the protocol.
- Current use of medications that significantly affect the parameters being monitored (e.g., psychotropic drugs, beta-blockers).
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| DELPHI Personalized Digital Prevention Platformthe full version of the DELPHI digital platform, designed to support personalized primary prevention and health promotion. The intervention includes continuous monitoring through wearable sensors (Fitbit Inspire 3), mobile app-based data collection, and adaptive lifestyle recommendations generated by artificial intelligence algorithms within a Human Digital Twin framework. Participants will receive personalized feedback and notifications related to physical activity, sleep, nutrition, hydration, stress management, and psychological well-being. The platform also delivers multimedia educational content, including guided exercises, mindfulness and breathing practices, wellness educational videos, and behavioral micro-actions. Data collected through wearable devices, digital questionnaires, and behavioral monitoring are used to dynamically tailor recommendations and preventive strategies throughout the study period. | Other | Experimental group |
| Passive Digital Monitoring ControlParticipants assigned to the control group will use a limited version of the DELPHI application restricted to passive monitoring functions. The application will collect data from wearable devices and questionnaires related to physical activity, sleep, nutrition, and well-being, but participants will not receive personalized recommendations, adaptive educational content, interactive feedback, or behavioral notifications. The control condition is intended to provide observational digital monitoring only, without active preventive intervention or AI-based personalization. | Other | Control group |
Primary outcome
World Health Organization Quality of Life (WHOQoL)
Time frame: Baseline and 6 months
The World Health Organization Quality of Life (WHOQoL) is a questionnaire used to assess quality of life.The WHOQOL-BREF, its short form, includes 26 items and evaluates four domains: physical health, psychological health, social relationships, and environment. It does not generate a single total score; instead, it provides separate domain scores, with higher values indicating better quality of life
Depression, Anxiety, and Stress Symptoms (DASS-21)
Time frame: Baseline and 6 months
The Depression, Anxiety and Stress Scales-21 (DASS-21) is a 21-item self-report instrument designed to assess the severity of depression, anxiety, and stress symptoms. It consists of three subscales, each containing 7 items, and uses a 4-point response format. The scale provides separate scores for depression, anxiety, and stress rather than a single diagnostic score. * Depression: normal 0-9, mild 10-13, moderate 14-20, severe 21-27, extremely severe 28+. * Anxiety: normal 0-7, mild 8-9, moderate 10-14, severe 15-19, extremely severe 20+. * Stress: normal 0-14, mild 15-18, moderate 19-25, severe 26-33, extremely severe 34+.
Beck Depression Inventory-II (BDI-II)
Time frame: Baseline and 6 months
The Beck Depression Inventory-II (BDI-II) is a 21-item self-report instrument designed to measure the severity of depressive symptoms over the past two weeks. Each item is rated on a 0 to 3 scale, and the total score ranges from 0 to 63. The total BDI-II score is calculated by summing all 21 items, giving a range from 0 to 63. Common interpretive cut-offs are: minimal depression 0-13, mild 14-19, moderate 20-28, and severe 29-63
International Physical Activity Levels (IPAQ)
Time frame: Baseline and 6 months
The International Physical Activity Questionnaire (IPAQ) is a self-report instrument designed to assess physical activity levels over the previous 7 days. It provides both a categorical score, classifying individuals as low, moderate, or high active, and a continuous score expressed as MET-minutes per week. * Categorical score: low, moderate, or high physical activity. * Continuous score: total physical activity expressed as MET-minutes/week. The continuous score is calculated using standard MET values: * Walking = 3.3 METs. * Moderate activity = 4.0 METs. * Vigorous activity = 8.0 METs.
Prevention with Mediterranean Diet (PREDIMED)
Time frame: Baseline and 6 months
The Prevention with Mediterranean Diet (PREDIMED) questionnaire is a 14-item tool designed to assess adherence to the Mediterranean diet. Each item is scored as 0 or 1, and the total score ranges from 0 to 14, with higher scores indicating greater adherence to the Mediterranean dietary pattern.
6 secondary outcomes
Heart Rate
Time frame: Continuously monitored from baseline to 6 months
Heart Rate Variability (HRV)
Time frame: Continuously monitored from baseline to 6 months
Body Weight
Time frame: Baseline, every 2 weeks during the 6-month intervention period and 6 months
Body Mass Index (BMI)
Time frame: Baseline and 6 months
Nutritional Intake
Time frame: Weekly monitoring from baseline to 6 months
Mental Well-Being Weekly Check-in Scores
Time frame: Weekly from baseline to 6 months
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 29 May 2026.
- BackgroundMoon J, Ju BK. Wearable sensors for healthcare of industrial workers: a scoping review. Electronics. 2024;13(19):3849. doi:10.3390/electronics13193849.
- Background: PubMed 36589760Gray R, Indraratna P, Lovell N, Ooi SY. Digital health technology in the prevention of heart failure and coronary artery disease. Cardiovasc Digit Health J. 2022 Dec 15;3(6 Suppl):S9-S16. doi: 10.1016/j.cvdhj.2022.09.002. eCollection 2022 Dec.
- Background: PubMed 11351599Takahashi S, Yamamoto T. [apoE receptor 2]. Nihon Rinsho. 2001 Feb;59 Suppl 2:325-8. No abstract available. Japanese.
- BackgroundBrough P, Timms C, Chan XW, et al. Work-life balance: definitions, causes, and consequences. In: Theorell T, ed. Handbook of Socioeconomic Determinants of Occupational Health. Springer; 2020. doi:10.1007/978-3-030-05031-3_20-1
- BackgroundZangger M, Wälchli C, Stefenelli U, et al. The use of mobile health applications for the prevention of non-communicable diseases. Health Technol. 2021; 11: 585-593. doi:10.1007/s12553-021-00536-8.
- Background: PubMed 29343463Marcolino MS, Oliveira JAQ, D'Agostino M, Ribeiro AL, Alkmim MBM, Novillo-Ortiz D. The Impact of mHealth Interventions: Systematic Review of Systematic Reviews. JMIR Mhealth Uhealth. 2018 Jan 17;6(1):e23. doi: 10.2196/mhealth.8873.
- BackgroundChoe EK, Klasnja P, Pratt W. mHealth and applications. In: Shortliffe EH, Cimino JJ, eds. Biomedical Informatics. Springer; 2021. doi:10.1007/978-3-030-58721-5_19.
- BackgroundEurofound. Psychosocial risks to workers' well-being: lessons from the COVID-19 pandemic. European Working Conditions Telephone Survey 2021 series. Publications Office of the European Union; 2023.
- Background: PubMed 35612886Jakob R, Harperink S, Rudolf AM, Fleisch E, Haug S, Mair JL, Salamanca-Sanabria A, Kowatsch T. Factors Influencing Adherence to mHealth Apps for Prevention or Management of Noncommunicable Diseases: Systematic Review. J Med Internet Res. 2022 May 25;24(5):e35371. doi: 10.2196/35371.
- Background: PubMed 31405669Debon R, Coleone JD, Bellei EA, De Marchi ACB. Mobile health applications for chronic diseases: A systematic review of features for lifestyle improvement. Diabetes Metab Syndr. 2019 Jul-Aug;13(4):2507-2512. doi: 10.1016/j.dsx.2019.07.016. Epub 2019 Jul 9.
- Background: PubMed 37571293Laffond A, Rivera-Picon C, Rodriguez-Munoz PM, Juarez-Vela R, Ruiz de Vinaspre-Hernandez R, Navas-Echazarreta N, Sanchez-Gonzalez JL. Mediterranean Diet for Primary and Secondary Prevention of Cardiovascular Disease and Mortality: An Updated Systematic Review. Nutrients. 2023 Jul 28;15(15):3356. doi: 10.3390/nu15153356.
- BackgroundWHO global status report on alcohol and health and treatment of substance use disorders. Geneva: World Health Organization; 2024
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Maria Valeria Maiorana contact
Gennaro Tartarisco principal investigator
Institute for Biomedical Research and Innovation (IRIB)-National Reasearch Council (CNR)
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing DELPHI Personalized Digital Prevention Platform in people with Life Style, Healthy and Risk Reduction, run by Istituto per la Ricerca e l'Innovazione Biomedica at 1 site in Italy.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 7 inclusion and 7 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 29 May 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Italy. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Gennaro Tartarisco (+393283377046, gennaro.tartarisco@irib.cnr.it), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
World Health Organization Quality of Life (WHOQoL) (time frame: Baseline and 6 months). The study lists 5 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT07612852, which also lists 13 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 29 May 2026.