25premus129 10.3205/25premus129 urn:nbn:de:0183-25premus1293 Meeting Abstract Roger Roger Nathan N

UR-UPJV EA 3300, APERE - Adaptations Physiologiques á l'Exercice et Réadaptation á l'effort - UFR des Sciences du Sport, Université de Picardie Jules Verne, Amiens, France Laboratoire PériTox UMR-I 01, Centre Universitaire de Recherche en Santé, Université de Picardie Jules Verne, Amiens, France Groupe Bigard, Flixecourt, France

author Delignieres Delignieres Pierre P

Groupe Bigard, Flixecourt, France

author Lelard Lelard Thierry T

UR-UPJV EA 3300, APERE - Adaptations Physiologiques á l'Exercice et Réadaptation á l'effort - UFR des Sciences du Sport, Université de Picardie Jules Verne, Amiens, France

author Telliez Telliez Frederic F

Laboratoire PériTox UMR-I 01, Centre Universitaire de Recherche en Santé, Université de Picardie Jules Verne, Amiens, France

author German Medical Science GMS Publishing House

Düsseldorf

610 20250909 engl This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung). M0625 129 12th International Scientific Conference on the Prevention of Work-Related Musculoskeletal Disorders PREMUS 2025 Poster PO 3 Tübingen 20250909 20250912 129 TextIntroduction: Musculoskeletal Disorders (MSDs) are a major cause of occupational health issues. Implementing an effective MSD prevention strategy in the workplace requires the characterization and monitoring of workers’ musculoskeletal health based on reliable and reproducible indicators. The objective of this study was to develop an innovative mobile application designed to map musculoskeletal complaints and to test its implementation in an industrial site specialized in meat packaging. Methods: The application development process followed several key steps: Formation of a multidisciplinary working group (site director, HR manager, occupational physician, university researchers specialized in locomotion and applied work physiology, employee representatives, and a software developer) under the coordination of a doctoral student embedded in the company. Selection of the Nordic Musculoskeletal Questionnaire as a scientifically validated monitoring tool. Integration of modules designed to characterize individual worker characteristics and work conditions. Development of the application on a company-owned internal server, ensuring data anonymization and compliance with data protection regulations (CNIL, GDPR). Presentation and refinement of the tool through feedback from the working group. Testing on 235 employees using a combined approach (individual interviews + data entry via tablet). Data analysis and result dissemination.Results: The tool was tested over a six-month period. Out of 300 employees at the site, 235 participated in the study and completed the questionnaire via the mobile application during an individual interview lasting 10 to 20 minutes. Among these participants, 86% reported at least one musculoskeletal pain episode in the past 12 months. The three most affected body regions were: Lower back (56% of participants); Shoulders (33%) and Neck (21%). Among the 13 company sectors, the most impacted were: “Processed products”, “Labeling”, and “Forming”.Discussion: The developed tool enabled the mapping of musculoskeletal complaints for 78% of the workforce and identified three priority sectors for preventive actions: Training: implementation of an on-the-job training approach (AFEST in French). Organizational measures: promotion of job rotation, workforce increase, and implementation of workplace warm-up exercises. Technical measures: provision of adapted equipment and automation of certain tasks.Conclusion: Using a mobile application to map musculoskeletal pain, combined with individual interviews, represents a promising approach to improving MSD prevention in the workplace. This tool has facilitated the establishment of a structured and actionable prevention indicator shared by both employees and management. Since 2024, the tool has been deployed every three months to assess the impact of preventive actions in other sectors. In the long term, it will support data modeling to refine etiopathogenic models of MSDs.[1] Kuorinka et al., 1987. 0 0 0 0