Glucose Observation and Wearable Use for Prevention (GlowUp)

January 19, 2026 updated by: University of St.Gallen

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

The GLOW UP study is a single-center, prospective, observational case-control study conducted in St. Gallen, Switzerland. The primary aim of the study is to examine to what degree lifestyle data collected from wearable devices and a smartphone app can identify individuals with prediabetes (vs. normoglycemic) in a real-world setting. The study also aims to characterize variability in lifestyle and glycemic patterns and to examine how between- and within-person differences relate to diabetes risk; to identify personalized predictors of early metabolic dysregulation. The study also evaluates new image-based meal tracking algorithms for predicting glycemic control and examines how reminder messages influence adherence to a ~4-week meal logging protocol.

The study aims to enroll 200 adults aged 45 years and older with a BMI of at least 25 kg/m² and no known diagnosis of diabetes, including 100 participants with prediabetes and 100 normoglycemic (metabolically healthy) controls. Participants will be classified at the baseline visit using HbA1c and fasting plasma glucose (FPG) tests, with prediabetes defined as HbA1c 5.7-6.4% and/or FPG 5.6-6.9 mmol/L, and normoglycemia defined as HbA1c <5.7% and FPG <5.6 mmol/L, following clinical standards. During the ~4-week observational period, participants will be asked to wear a smart ring, a wrist-worn smartwatch, and a blinded continuous glucose monitor (CGM). Participants will be asked to log/take-images of their meals via a study app and to complete brief questionnaires (e.g., tracking mood, stress, and contextual meal annotations) via ecological momentary assessments. FPG and HbA1c samples will be collected at baseline to classify participants as prediabetic or normoglycemic, and again at follow-up (~4 weeks), which will serve as the primary outcome to evaluate associations between lifestyle and wearable-derived data and diabetes risk status.

Study Overview

Status

Recruiting

Conditions

Study Type

Observational

Enrollment (Estimated)

200

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

      • Sankt Gallen, Switzerland, 9000
        • Recruiting
        • HOCH Health and School of Medicine, University of St. Gallen
        • Contact:
          • Mia Jovanova, Dr.
          • Phone Number: +41 44 632 05 41
        • Contact:
        • Principal Investigator:
          • Mia Jovanova, Dr.
        • Principal Investigator:
          • Tobias Kowatsch, Prof. Dr.
        • Principal Investigator:
          • Michael Brändle, Prof. Dr. med

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

Adults ≥45 years with BMI ≥25 kg/m², German-speaking residents of Switzerland, without known diabetes, recruited from GP practices, community and workplace channels, and general public advertisements.

Description

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.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Prediabetic

Adults aged ≥45 years with BMI ≥25 kg/m².

FPG 5.6-6.9 mmol/L and/or HbA1c 5.7-6.4% (clinical prediabetes thresholds).

No known type-2 diabetes diagnosis.

Normoglycemic
Adults aged ≥45 years with BMI ≥25 kg/m². FPG <5.6 mmol/L and HbA1c <5.7% (normoglycemic; no prediabetes). No known type-2 diabetes diagnosis.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Diabetes risk status (prediabetic vs. normoglycemic)
Time Frame: At follow-up, week 4
Prediabetic (FPG levels 5.6-6.9mmol/L and/or HbA1c levels 5.7%-6.4%) Normoglycemic (FPG levels <5.6mmol/L and HbA1c levels <5.7%)
At follow-up, week 4

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Diabetes risk at alternative FPG and HbA1c thresholds
Time Frame: At follow-up, week 4
Participants will also be classified using alternative FPG and HbA1c thresholds based on the observed distribution of glycemic values in the resulting study sample (e.g., high-risk prediabetes FPG ≥6.0 mmol/L, HbA1c ≥6.0%). Additionally, continuous FPG and HbA1c values will be analyzed.
At follow-up, week 4
Metabolic phenotypes
Time Frame: At follow-up, week 4
Metabolic phenotypes defined based on a combination of FPG, HbA1c, body mass index (BMI) and visceral fat levels.
At follow-up, week 4
Continuous glycemic control
Time Frame: Up to 4 weeks
Continuous glucose levels (mmol/L) over the ~4-week period to characterize dynamic glucose patterns.
Up to 4 weeks
Lifestyle profiles
Time Frame: Up to 4 weeks
Lifestyle patterns derived based on nutrition (e.g., macro-nutrient composition), physical activity, sleep, stress levels (e.g., survey-based, HR/HRV).
Up to 4 weeks
Adherence to image-based food tracking
Time Frame: Up to 4 weeks
Number of meal logs completed
Up to 4 weeks

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

December 8, 2025

Primary Completion (Estimated)

January 1, 2027

Study Completion (Estimated)

January 1, 2027

Study Registration Dates

First Submitted

January 9, 2026

First Submitted That Met QC Criteria

January 19, 2026

First Posted (Actual)

January 28, 2026

Study Record Updates

Last Update Posted (Actual)

January 28, 2026

Last Update Submitted That Met QC Criteria

January 19, 2026

Last Verified

January 1, 2026

More Information

Terms related to this study

Other Study ID Numbers

  • 2025-00972

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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