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Accepted for/Published in: JMIR Formative Research

Date Submitted: Aug 14, 2024
Open Peer Review Period: Nov 11, 2024 - Jan 11, 2025
Date Accepted: Feb 21, 2025
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Real-World Effectiveness of Glucose-Guided Eating Using the Data-Driven Fasting App Among Adults Interested in Weight and Glucose Management: Observational Study

Jospe MR, Kendall M, Schembre SM, Roy M

Real-World Effectiveness of Glucose-Guided Eating Using the Data-Driven Fasting App Among Adults Interested in Weight and Glucose Management: Observational Study

JMIR Form Res 2025;9:e65368

DOI: 10.2196/65368

PMID: 40338170

PMCID: 12080008

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Real-world effectiveness of glucose-guided eating using the Data-Driven Fasting app: An observational study

  • Michelle R Jospe; 
  • Martin Kendall; 
  • Susan M Schembre; 
  • Melyssa Roy

ABSTRACT

Background:

The Data-Driven Fasting (DDF) app implements glucose-guided eating (GGE), an innovative dietary intervention that encourages individuals to eat when their glucose level falls below a personalised threshold to improve metabolic health. Clinical trials using GGE, facilitated by paper logging of glucose and hunger symptoms, have shown promising results. However, the real-world effectiveness and adherence to GGE supported by a mobile app remain unexplored.

Objective:

To describe DDF users’ demographics, app engagement, adherence to preprandial glucose monitoring, and the resulting impact on weight and glucose levels.

Methods:

Data were collected over three years from users of the Data-Driven Fasting (DDF) app. The analysis covered the first 30 days of app use and included users with at least two days of preprandial glucose entries. App engagement and changes in body weight and fasting glucose levels by weight and diabetes status were examined.

Results:

6197 people used the DDF app for at least two days. Participants used the app for a median of 19 days (25th, 75th percentiles: 9, 28 days), with a median of 7 weight entries (25th, 75th percentiles: 3, 13 entries) and 52 glucose entries (25th, 75th percentiles: 25, 82 entries). Last observation carried forward analysis revealed a weight loss of 0.7 kg (95% CI -0.8, -0.6) in the normal weight category, 1.0 kg (95% CI -1.1, -0.9) in the overweight category, and 1.2 kg (95% CI -1.3, -1.1) in the obese category. Fasting glucose levels increased by 0.11 mmol/L (95% CI 0.09, 0.12) in the normal range, decreased by 0.14 mmol/L (95% CI -0.16, -0.12) in the prediabetes range, and decreased by 0.50 mmol/L (95% CI -0.58, -0.42) in the diabetes range.

Conclusions:

The implementation of GGE through the DDF app in a real-world setting led to consistent weight loss across all weight categories and significant improvements in fasting glucose levels for users with prediabetes and diabetes. This study underscores the potential of the GGE to facilitate improved metabolic health.


 Citation

Please cite as:

Jospe MR, Kendall M, Schembre SM, Roy M

Real-World Effectiveness of Glucose-Guided Eating Using the Data-Driven Fasting App Among Adults Interested in Weight and Glucose Management: Observational Study

JMIR Form Res 2025;9:e65368

DOI: 10.2196/65368

PMID: 40338170

PMCID: 12080008

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