Clinical trial Recruiting at 1 site Observational Ages 45 and up

Using wearables and a phone app to find early signs of prediabetes

Official title: GLOW UP: A Single-Center Observational Study Developing Digital Biomarkers for Prediabetes Screening and Lifestyle Phenotyping

Run by University of St.Gallen · NCT07373418 · Data updated 2026-11-12

This project will try to see if data from wearable devices and a meal‑logging smartphone app can distinguish adults 45+ with BMI ≥25 who have prediabetes from those with normal blood sugar.

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Quick facts

Study typeObservational
Ages45 Years and up
SexAll
Enrollment200 (estimated)
SponsorUniversity of St.Gallen
Academic / other
Locations1 site (Sankt Gallen)
StatusRecruiting
StartedDecember 8, 2025
Main results expectedJanuary 2027
Study endsJanuary 2027
Registry record updatedJanuary 28, 2026
Trial IDNCT07373418 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Ideal candidates are German-speaking Swiss residents aged 45 or older with BMI ≥25, no known diabetes, regular access to and ability to use a smartphone, and able to walk independently.

Probably not a fit

People with diagnosed diabetes, major cardiovascular or kidney disease, pregnant or breastfeeding individuals, those with skin conditions preventing wearable use, or those without a compatible smartphone or living outside the St. Gallen area are unlikely to benefit.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

The GLOW UP project is a single-center, prospective observational case-control study in St. Gallen, Switzerland enrolling 200 adults aged 45 and older with BMI ≥25, including 100 with prediabetes and 100 normoglycemic controls. Participants will wear consumer wearable devices and use a smartphone app with image-based meal logging for about four weeks while clinical blood tests classify glycemic status. Researchers will analyze lifestyle and glycemic patterns, including between- and within-person variability, to identify personalized predictors of early metabolic dysregulation and will test how reminder messages affect meal logging adherence. The study emphasizes real-world data from wearables and apps to explore noninvasive signals linked to diabetes risk.

Why it matters

Potential benefit: If successful, this approach could enable earlier, easier detection of metabolic changes using everyday wearables and apps so people can take steps to lower their diabetes risk.

How similar studies have gone: Previous research has shown wearables can capture activity and sleep patterns related to glucose, but using image-based meal logging and personalized wearable signatures to detect prediabetes is relatively novel.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* Citizens or residents of Switzerland who are German-speaking (main place of living or employment in Switzerland).
* Age ≥45 years.
* BMI ≥25 kg/m² (overweight or obese).
* Regular access to a smartphone (iOS or Android) with a data plan.
* Able to use smartphone applications.
* Able to walk independently.

Exclusion Criteria:

* History of stroke, heart disease, renal failure, cancer, or diabetes (type 1 or type 2).
* Past vascular bypass surgery or angioplasty.
* Current or planned use of glucose-lowering medications during the upcoming 4 weeks (e.g., GLP-1 receptor agonists, metformin).
* Pregnant or breastfeeding.
* Relevant skin conditions at wearable placement sites (e.g., upper arm).
* BMI \<25 kg/m² confirmed at enrollment.
* FPG ≥7.0 mmol/L and/or HbA1c ≥6.5% (newly identified type 2 diabetes); Individuals who meet type-2 diabetes criteria at enrollment, based on Swiss/ADA diagnostic criteria will be informed of blood test results and referred to a GP. These individuals will be deemed ineligible and excluded from the study.

Where it's running

  • HOCH Health and School of Medicine, University of St. Gallen
    Sankt Gallen, Switzerland
    Recruiting

Study contacts

Similar studies

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How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.