Work

Novel approach for ergonomic assessment of musculoskeletal risks for OHS in high-demand and complex manual tasks − case study of polishing industry

Year: 2025

Type: article

Abstract: • Ergonomic assessment using a sensorless AI software application. • Workers face medium WMSD risk (88.3%), increasing slightly throughout the day. • Women show higher WMSD risk than men, especially by the end of the workday. • WMSD risk rises with age, with older workers showing high and very high risks. • Significant correlations between age and musculoskeletal symptoms and risks.

Source: Safety Science

DOI: 10.1016/j.ssci.2025.106969

Authors: Joel Alves, Tânia M. Lima, Pedro D. Gaspar

Institution: University of Beira Interior

Language: English

Topic: Ergonomics and Musculoskeletal Disorders

Subfield: Social Psychology

Field: Psychology

Domain: Social Sciences

SDGs: Good health and well-being, Decent work and economic growth

Open Access status: hybrid

Estimated APC paid: $4,360