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.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 45 Years and up |
| Sex | All |
| Enrollment | 200 (estimated) |
| Sponsor | University of St.Gallen Academic / other |
| Locations | 1 site (Sankt Gallen) |
| Status | Recruiting |
| Started | December 8, 2025 |
| Main results expected | January 2027 |
| Study ends | January 2027 |
| Registry record updated | January 28, 2026 |
| Trial ID | NCT07373418 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
- Study coordinator: Mia Jovanova, Dr.
- Email: mia.jovanova@unisg.ch
- Phone: +41 44 632 05 41
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.