Sociodemographic Data and Work-Related Musculoskeletal Symptoms in the Metal Polishing Industry: A Case Study in Central Portugal

Author:

Alves Joel12ORCID,Lima Tânia M.12ORCID,Gaspar Pedro D.12ORCID

Affiliation:

1. Department of Electromechanical Engineering, University of Beira Interior, Calçada Fonte do Lameiro, 6201-001 Covilhã, Portugal

2. C-MAST—Center for Mechanical and Aerospace Science and Technologies, Calçada Fonte do Lameiro, 6201-001 Covilhã, Portugal

Abstract

The prevalence of work-related musculoskeletal disorders is a red flag in industries and is considered an occupational health issue that affects the operator’s well-being, safety, and health. This study contributes to understanding the impact of Industry 5.0 on the workforce and emphasizes the importance of promoting a safe and healthy working environment. Thus, it focuses on the assessment of anthropometric characteristics and work-related musculoskeletal symptoms in a real industrial environment, specifically in the metal polishing sector of a metallurgical industry in Portugal. The research collected data on physical attributes, health status, and musculoskeletal symptoms using the Portuguese version of the Nordic Musculoskeletal Questionnaire, and incorporated sociodemographic data, including age, gender, and professional status, to provide a comprehensive understanding of the active workforce. The results were analyzed by gender and age clusters and revealed a prevalence of musculoskeletal symptoms, particularly in the spinal column and upper limbs, with a significant impact on the ability to perform work tasks. The need for preventive measures and ergonomic interventions to minimize the high predominance of musculoskeletal symptoms in Portuguese industries is also highlighted to improve the working conditions and enhance the well-being and health of operators.

Funder

FCT—Fundação para a Ciência e a Tecnologia

Publisher

MDPI AG

Reference50 articles.

1. Alves, J., Lima, T.M., and Gaspar, P.D. (2023). Is Industry 5.0 a Human-Centred Approach? A Systematic Review. Processes, 11.

2. Alves, J., Lima, T.M., and Gaspar, P.D. (2023). Novel Design of Assistive Technologies Based on the Interconnection of Motion Capture and Virtual Reality Systems to Foster Task Performance of the Ageing Workforce. Designs, 7.

3. The sociodemographic challenge in human-centred production systems—A systematic literature review;Alves;Theor. Issues Ergon. Sci.,2024

4. Aging Workers in Industry and Retail Sector—A Holistic Approach for an Age-Related Evaluation and Design of Work;Black;Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021),2021

5. Industry 5.0 and Human-Centered Approach. Bibliometric Review;IoT and Data Science in Engineering Management, Proceedings of the 16th International Conference on Industrial Engineering and Industrial Management—CIO 2022), Toledo, Spain, 7–8 July 2022,2023

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