NCT07011108

Brief Summary

The primary aim of this study is to develop an obesity-specific machine learning (ML) model capable of accurately estimating VO2max, a key indicator of cardiovascular fitness.

Trial Health

83
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
1,700

participants targeted

Target at P75+ for all trials

Timeline
20mo left

Started May 2025

Typical duration for all trials

Status
active not recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress37%
May 2025Dec 2027

First Submitted

Initial submission to the registry

May 30, 2025

Completed
Same day until next milestone

Study Start

First participant enrolled

May 30, 2025

Completed
9 days until next milestone

First Posted

Study publicly available on registry

June 8, 2025

Completed
2.5 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 10, 2027

Expected
14 days until next milestone

Study Completion

Last participant's last visit for all outcomes

December 24, 2027

Last Updated

June 8, 2025

Status Verified

May 1, 2025

Enrollment Period

2.5 years

First QC Date

May 30, 2025

Last Update Submit

May 30, 2025

Conditions

Obesity; Overweight

Keywords

Obesity; overweight; Cardiorespiratory fitness; VO2max; Machine learning; ML, web-application;

Outcome Measures

Primary Outcomes (1)

  • Machine learning model to estimate vo2max

    The primary aim of this study is to develop an obesity-specific ML model capable of accurately estimating VO2max, a key indicator of cardiovascular fitness

    The project will be completed in 2027

Interventions

No intervention (observational study)OTHER

no intervention

Eligibility Criteria

Age18 Years - 100 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Patients with obesity from Norway

You may qualify if:

  • diagnosed with severe obesity
  • body mass index (BMI) ≥40.0 kg •m-2, or 35.0-39.9 kg •m-2 with at least one obesity-related comorbidity

You may not qualify if:

  • not obese

Contact the study team to confirm eligibility.

Sponsors & Collaborators

MeSH Terms

Conditions

ObesityOverweight

Interventions

Observation

Condition Hierarchy (Ancestors)

OvernutritionNutrition DisordersNutritional and Metabolic DiseasesBody WeightSigns and SymptomsPathological Conditions, Signs and Symptoms

Intervention Hierarchy (Ancestors)

MethodsInvestigative Techniques

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
OTHER
Target Duration
1 Day
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Phd, associate professor

Study Record Dates

First Submitted

May 30, 2025

First Posted

June 8, 2025

Study Start

May 30, 2025

Primary Completion (Estimated)

December 10, 2027

Study Completion (Estimated)

December 24, 2027

Last Updated

June 8, 2025

Record last verified: 2025-05

Data Sharing

IPD Sharing
Will not share

IPD will not be shared due to confidentiality concerns, lack of participant consent for data sharing, or institutional policy restrictions.