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0136/2025 - LOSS OF PRODUCTIVITY DUE TO WORK-RELATED TRAFFIC ACCIDENTS IN BRAZIL, 2009 – 2018
PERDA DE PRODUTIVIDADE POR ACIDENTE DE TRÂNSITO RELACIONADOS AO TRABALHO NO BRASIL, 2009 – 2018

Author:

• Samuel Santos Souza - Souza, SS - <samuelsantossouza@hotmail.com>
ORCID: https://orcid.org/0000-0003-4597-3941

Co-author(s):

• Jefferson Paixão Cardoso - Cardoso, JP - <jpcardoso@uesb.edu.br>
ORCID: https://orcid.org/0000-0003-0128-5792


Abstract:

Introduction: Traffic accidents often lead to a range of negative consequences, including productivity loss, especially when they are work-related. Objective: To estimate the prevalence and assess the factors associated with productivity loss among workers injured in traffic accidents while performing work-related activities. Method: A cross-sectional epidemiological study was conducted using data on work-related traffic accidents. Multilevel logistic regression models were applied to analyze factors associated with productivity loss. Results: The overall prevalence of productivity loss was 81.04%. A significant association was observed between working in traffic and productivity loss in the outpatient care stratum. Female sex (PR = 1.13; 95% CI = 1.03–1.24), age under 30 years (PR = 1.04; 95% CI = 1.02–1.07), white race (PR = 1.05; 95% CI = 1.01–1.10), other races (PR = 1.27; 95% CI = 1.05–1.52), elementary education (PR = 1.08; 95% CI = 1.04–1.11), urban residence (PR = 1.03; 95% CI = 1.01–1.06), and being a motorcyclist (PR = 1.03; 95% CI = 1.01–1.05) were identified as risk factors for productivity loss among traffic-exposed workers. Conclusion: Sociodemographic and occupational factors, as well as accident-related characteristics, are associated with productivity loss among workers in traffic settings. Contextual variables influence the strength of these associations, highlighting the severity of occupational and traffic accidents as major public health issues. Understanding these factors is essential for the development of effective prevention and intervention strategies.

Keywords:

Work; Traffic accident; Occupational accident; Productivity loss; Workers’ health.

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