Sensor-based evaluation of intermittent fasting regimes: a machine learning and statistical approach
The primary aim was to develop and assess the performance and applicability of different models utilizing sensor data to determine dietary adherence, specifically within the context of intermittent fasting. Our approach utilized time-series data from two completed human trials, which included continuous glucose monitoring, acceleration data, and food diaries, and a synthetic data set. Machine learning models achieved an average F1-score of 0.88 in distinguishing between fasting and non-fasting times, indicating a high level of reliability in classifying fasting states. The Hutchison Heuristic statistical method, while more moderate in performance, proved to be robust across different cohorts, including individuals with and without type 1 diabetes. A dashboard was developed to visualize results efficiently and in a user-friendly manner. The findings highlight the effectiveness of using sensor data, combined with advanced statistical and machine learning approaches, to passively evaluate dietary adherence in an intermittent fasting context.
Authors
- Tanja Manlik
- Henrik Dommisch (ORCID: https://orcid.org/0000-0003-1043-2651)
- Olga Pivovarova‐Ramich (ORCID: https://orcid.org/0000-0002-3583-8546)
- Andreas Michalsen (ORCID: https://orcid.org/0000-0002-9145-7246)
- Daniela A. Koppold (ORCID: https://orcid.org/0000-0003-3367-3327)
- Bert Arnrich (ORCID: https://orcid.org/0000-0001-8380-7667)
- Tillmann Int-Veen
- Peter E. H. Schwarz (ORCID: https://orcid.org/0000-0001-6317-7880)
- Christina Laetitia Pappe (ORCID: https://orcid.org/0000-0002-0645-704X)
- Nico Steckhan (ORCID: https://orcid.org/0000-0003-0245-2046)
- Beeke Peters
Institutions
- Hasso Plattner Institute (DE)
- University of Potsdam (DE)
- University of Washington (US)
- Humboldt-Universität zu Berlin (DE)
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE)
- Deutsches Diabetes-Zentrum e.V. (DE)
- Immanuel Krankenhaus (DE)
- German Center for Diabetes Research (DE)
- University Hospital Carl Gustav Carus (DE)
- German Institute of Human Nutrition (DE)
- Heinrich Heine University Düsseldorf (DE)
- Freie Universität Berlin (DE)
- Technische Universität Dresden (DE)
Publication Details
- Journal
- International Journal of Obesity
- Published
- 2025-08-22
- DOI
- https://doi.org/10.1038/s41366-025-01889-0
- Primary Topic
- Dietary Effects on Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00