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Effects of a Digital Health Application (Lipodia) on LDL-cholesterol Levels

Effects of a Digital Health Application (Lipodia) on LDL-cholesterol Levels in Individuals With LDL-cholesterol Levels Above Recommended Targets for Reducing Cardiovascular Risk: Randomized Controlled Trial

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05988866
Acronym
DIGICHOL
Enrollment
278
Registered
2023-08-14
Start date
2025-02-03
Completion date
2026-05-22
Last updated
2026-07-07

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

Conditions

Dyslipidemias, Hypercholesterolemia

Keywords

LDL-C, digital intervention

Brief summary

The goal of this clinical trial is to find out if lipodia, a digital health intervention, can help lower cholesterol levels and improve other health measures in adults with high cholesterol. The main questions it aims to answer are: * Does lipodia, together with regular treatment, lower LDL cholesterol (bad cholesterol) better than regular treatment alone? * Does lipodia help improve other health outcomes, like how confident participants feel in managing their health? Researchers will compare two groups: * Intervention group: Participants use the lipodia intervention and continue their usual treatment. * Control group: Participants continue with their usual treatment only. Participants will: * Fill out questionnaires online and visit a certified lab at the start of the study, after 3 months, and after 6 months * Have blood tests at each lab visit to check their cholesterol and other blood fat levels * Continue with their usual treatment (both groups) and use lipodia, a digital health app, for six months (intervention group only)

Interventions

BEHAVIORALlipodia

Participants will receive access to the digital health intervention lipodia in addition to TAU.

Sponsors

Gaia AG
Lead SponsorINDUSTRY
University of Kiel
CollaboratorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
DOUBLE (Investigator, Outcomes Assessor)

Eligibility

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

Inclusion criteria

* Age ≥ 18 * Diagnosis of hypercholesterolemia (ICD-10 E78.0, E78.2, E78.4, E78.5, E78.8, E78.9) confirmed by a laboratory test and physician diagnosis * LDL-C levels above risk-adapted target * TG levels \< 400 mg/dL * Stability of potential drug treatment during the last 4 weeks * Stability of potential hormonal treatment during the last 6 months * Patient was made aware of lifestyle measures by GP or specialist * Consent to participation * Sufficient knowledge of the German language

Exclusion criteria

* Homozygous Familial Hypercholesterolemia (FH), given that it is a genetic condition which is relatively unresponsive to lifestyle changes * Hyperlipidemia type III, given that it is a genetic condition which is relatively unresponsive to lifestyle changes * Patients receiving plasmapheresis * Lp(a) \> 50 mg/dL * current pregnancy or planned pregnancy during the study period * planned major operations * liver dysfunction * end-stage renal failure * other systemic conditions that might interfere with successful study participation * Plans to change drug (including hormonal) treatment in the upcoming 6 months * Use of another digital intervention for hypercholesterolemia/dyslipidemia in the past

Design outcomes

Primary

MeasureTime frame
Fasting LDL-C levels6 months

Secondary

MeasureTime frameDescription
Patients' activation6 monthsAssessed with the total score of the PAM-13. Higher scores indicate higher patient activation (better outcome).
Fasting non-HDL-C levels6 months
Health-related quality of life6 monthsAssessed with the total score of the AQoL-8D. Higher scores indicate higher quality of life (better outcome).
BMI6 months
Fasting triglyceride levels6 months
Fasting HDL-C levels6 months
Fasting LDL-C levels3 months

Countries

Germany

Contacts

PRINCIPAL_INVESTIGATORKamila Jauch-Chara, Prof.

Christian-Albrechts-Universität zu Kiel

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jul 8, 2026