Assessing Behavioral and Environmental Facets of Obesity Unobtrusively Utilizing Digital Tools: Introducing the BETTER4U Indicators

Understanding obesity involves evaluating numerous contributing factors. Collecting the necessary data for this can impose a significant burden on both research participants during clinical studies and real-life deployments of digital tools aiding obesity management. The BETTER4U project (European Union's Horizon Europe, Grant Agreement ID 101080117) introduces 36 behavioral and 9 living environment indicators designed to unobtrusively and efficiently capture daily life through passive monitoring using market-available smartphones and smartwatches while accounting for environmental confounders. This concise set, intended for dietitians, physical activity experts, and healthcare professionals as a standard for assessing obesity-related behavior, summarizes the behavioral and environmental profile of a person with obesity/overweight. We present the selected indicators, their selection and implementation methodology and the high-level plan for their verification, describing their conceptual foundations and technical realization. These indicators can be deployed in a modular framework: by transforming raw sensor data into structured, interpretable measures they provide a scalable foundation for long-term monitoring of obesogenic behaviors, individual assessment, and evaluation of interventions targeting physical activity, diet, stress, and sleep. The indicators are intended for an expert-facing dashboard within the BETTER4U Intervention Platform, a participant-side interface within the BETTER4U application, and as input to the BETTER4U AI-based causal model, supporting relationship modeling between behavior, environment, and obesity outcomes to inform personalized interventions. This work lays the basis for data-driven validation of these indicators following the "BETTER4ALL Pilot Study" (ClinicalTrials.gov ID: NCT07120802), ahead of their use in the BETTER4U RCT among individuals with obesity/overweight.

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Journal
Obesity Reviews
Published
2026-10-15
DOI
https://doi.org/10.1111/obr.70242
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
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article

Assessing Behavioral and Environmental Facets of Obesity Unobtrusively Utilizing Digital Tools: Introducing the BETTER4U Indicators

Eva Karaglani, Maira Bes‐Rastrollo, Dimitrios Aletras, Anastasios N. Delopoulos et al.
Obesity Reviews
Mobile Health and mHealth Applications
article

Assessing Behavioral and Environmental Facets of Obesity Unobtrusively Utilizing Digital Tools: Introducing the BETTER4U Indicators

Eva Karaglani, Maira Bes‐Rastrollo, Dimitrios Aletras, Anastasios N. Delopoulos, Afroditi Kita, George V. Dedoussis, Aleksandra Łuszczyńska, Ioannis Ioakeimidis, Ana Isabel Rito, Gillian Santorelli, Julie‐Anne Nazare, Maria Kafyra, Alexis Kyriacou, Yannis Μanios, Anna E Ek, Karri Silventoinen, Terho J. Lehtimäki, Anestis Dougkas, Chrysa Episkopou, Ioanna Panagiota Kalafati, Vassilios Fanos, Louise Seconda
article en

Abstract

Understanding obesity involves evaluating numerous contributing factors. Collecting the necessary data for this can impose a significant burden on both research participants during clinical studies and real-life deployments of digital tools aiding obesity management. The BETTER4U project (European Union's Horizon Europe, Grant Agreement ID 101080117) introduces 36 behavioral and 9 living environment indicators designed to unobtrusively and efficiently capture daily life through passive monitoring using market-available smartphones and smartwatches while accounting for environmental confounders. This concise set, intended for dietitians, physical activity experts, and healthcare professionals as a standard for assessing obesity-related behavior, summarizes the behavioral and environmental profile of a person with obesity/overweight. We present the selected indicators, their selection and implementation methodology and the high-level plan for their verification, describing their conceptual foundations and technical realization. These indicators can be deployed in a modular framework: by transforming raw sensor data into structured, interpretable measures they provide a scalable foundation for long-term monitoring of obesogenic behaviors, individual assessment, and evaluation of interventions targeting physical activity, diet, stress, and sleep. The indicators are intended for an expert-facing dashboard within the BETTER4U Intervention Platform, a participant-side interface within the BETTER4U application, and as input to the BETTER4U AI-based causal model, supporting relationship modeling between behavior, environment, and obesity outcomes to inform personalized interventions. This work lays the basis for data-driven validation of these indicators following the "BETTER4ALL Pilot Study" (ClinicalTrials.gov ID: NCT07120802), ahead of their use in the BETTER4U RCT among individuals with obesity/overweight.

Obesity Reviews
Université Claude Bernard Lyon 1 (FR), University of Helsinki (FI), University of Thessaly (GR), Inserm (FR), University of Cagliari (IT), Aristotle University of Thessaloniki (GR), Mediterranean University (ME), Academy of Nutrition and Dietetics (US), Karolinska Institutet (SE), Harokopio University of Athens (GR), University of Cyprus (CY), Uniwersytet SWPS (PL), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Hospices Civils de Lyon (FR), Administração Regional de Saúde de Lisboa e Vale do Tejo (PT), Navarre Institute of Health Research (ES), Centre de Recherche en Nutrition Humaine Rhône-Alpes (FR), Tampere University Hospital (FI), Istituto Nazionale di Fisica Nucleare, Sezione di Cagliari (IT), Tampere University (FI), Instituto Nacional de Saúde (MZ), Bradford Teaching Hospitals NHS Foundation Trust (GB), Bradford Institute for Health Research (GB)
Government of the United Kingdom, UK Research and Innovation, European Commission, HORIZON EUROPE Framework Programme, Staatssekretariat für Bildung, Forschung und Innovation, European Health and Digital Executive Agency
Good health and well-being
Openalex Percentile: Top 9%
Mobile Health and mHealth Applications
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