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NCT03784612: HAPPY
The Healthy Eating with APP TechnologY Study
NA trial testing App-technology for healthy eating habits in Type 2 Diabetes Mellitus in 133 participants. Completed in 31 August 2023.
31 August 2023
Quick facts
| Lead sponsor | Karolinska Institutet |
|---|---|
| Phase | NA |
| Status | Completed |
| Study type | INTERVENTIONAL |
| Allocation | randomized |
| Design | parallel |
| Masking | none |
| Primary purpose | supportive care |
| Enrollment | 133 |
| Start date | 15 January 2019 |
| Primary completion | 31 August 2023 |
| Estimated completion | 31 August 2023 |
| Sites | 1 location across Sweden |
Drugs / interventions tested
- App-technology for healthy eating habits
Conditions studied
- Type 2 Diabetes Mellitus — all drugs for Type 2 Diabetes Mellitus →
- Dietary Habits — all drugs for Dietary Habits →
Sponsor
Karolinska Institutet
Who can join
18 and older, any sex, with Type 2 Diabetes Mellitus or Dietary Habits. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The aim of this study is to investigate the effect of using new app-based technology to improve dietary habits, compared to usual care in patients with type 2 diabetes. The hypothesis is that the intervention, i.e. using the new technology an an app-based course for healthy eating habits, will have a greater positive effect on dietary habits and biological markers, including HbA1c and serum lipids, than usual care.
Publications & conference data
5 peer-reviewed publications reference this trial (live from Europe PMC):
-
Digital Support for Healthier Eating Habits Among Patients With Type 2 Diabetes: Protocol for a Randomized Clinical Trial Within Primary Care (HAPPY Trial).
Trolle Lagerros Y, Dahlgren A, Sjöblom L, Bonn SE. · · 2020 · cited 7× · PMID 33196448 · DOI 10.2196/24422 -
The effect of an app-based dietary education on dietary intake and cardiometabolic risk markers in people with type 2 diabetes: results from a randomized controlled trial.
Sjöblom L, Hantikainen E, Dahlgren A, Trolle Lagerros Y, et al · · 2025 · cited 6× · PMID 39754157 · DOI 10.1186/s12937-024-01069-2 -
The effect of an app-based dietary intervention on diet-related greenhouse gas emissions - results from a randomized controlled trial.
Pitt S, Sjöblom L, Bälter K, Trolle Lagerros Y, et al · · 2023 · cited 2× · PMID 37821876 · DOI 10.1186/s12966-023-01523-0 -
The Effect of a Mobile Health Dietary Education Intervention on Ultra-processed Food Consumption in Patients with Type 2 Diabetes: A Randomized Controlled Trial.
Cecchini V, Sjöblom L, Lagerros YT, Bonn SE. · · 2025 · PMID 40510749 · DOI 10.1016/j.cdnut.2025.107454 -
Engagement With a Smartphone-Delivered Dietary Education Intervention and Its Relation to Dietary Intake and Cardiometabolic Risk Markers in People With Type 2 Diabetes: Secondary Analysis of a Randomized Controlled Trial.
Sjoblom L, Stenbeck F, Trolle Lagerros Y, Hantikainen E, et al · · 2025 · PMID 40446320 · DOI 10.2196/71408
Verify or expand the search:
- PubMed search for NCT03784612
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT03784612 (US National Library of Medicine, public domain)
- Publications: Europe PMC API search by NCT ID, retrieved 10 June 2026
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Karolinska Institutet
- Last refreshed: 22 November 2024
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT03784612.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing