Occupational inequalities and gender differences: work accidents, Brazil, 2019

Authors

DOI:

https://doi.org/10.11606/s1518-8787.2024058005342

Keywords:

Accidents, Occupational, Gender, Sociodemographic Factors, Risk Factors, Health Surveys

Abstract

OBJECTIVE: To analyze the distribution and association of sociodemographic and occupational factors with self-reported work accidents (WA) in a representative sample of the Brazilian population, with emphasis on occupational class, and to examine gender differences in this distribution. METHODS: A population-based cross-sectional study, using data from the 2019 National Health Survey (PNS), analyzed the responses of a sample of adults aged 18 or over. Factors associated with WA were investigated using binary logistic regression and hierarchical analysis using blocks (sociodemographic and occupational variables). The final model was adjusted by variables from all blocks, adopting a significance level of 5%. The values of odds ratios (OR) and respective confidence intervals were obtained. RESULTS: Among the participants, 2.69% reported having suffered a WA, with a higher prevalence in men (3.37%; 95%CI 2.97–3.82%) than in women (1.86%; 95%CI 1.55–2.23%). The analysis identified that age group, night work, working hours, and exposure to occupational risks were associated with WA, with emphasis on gender differences. The class of manual workers, both qualified (ORwomen = 2.87; 95%CI 1.33–6.21 and ORmen = 2.46; 95%CI 1.37–4.40) and unskilled (ORwomen = 2.55; 95%CI 1.44–4.50 and ORmen = 3.70; 95%CI 1.95–7.03), had a higher chance of WA than the class of managers/professionals. CONCLUSION: Occupational factors contributed significantly to the increase in the probability of WA for men and women, with greater magnitude among those positioned in the lower strata of the occupational structure. The results obtained are clues for working out WA prevention actions.

References

Ribeiro CAC, Carvalhaes F. Estratificação e mobilidade social no Brasil: uma revisão da literatura na sociologia de 2000 a 2018. BIB. 2020;(92):1-461. https://dx.doi.org/10.17666/bib9207/2020

Siegrist J. Work and health inequalities. In: Hoffmann R, editor. Handbook of health inequalities across the life course. cheltenham, UK: Edward Elgar; 2023. p. 172-87.

Connelly R, Gayle V, Lambert PS. A review of occupation-based social classifications for social survey research. Methodol Innov. 2016;9: https://doi.org/10.1177/2059799116638003

Cordeiro R. A inadequação da classificação oficial dos acidentes de trabalho no Brasil. Cad Saude Publica. 2018 Feb;34(2):e00173016. https://doi.org/10.1590/0102-311x00173016

Biswas A, Harbin S, Irvin E, Johnston H, Begum M, Tiong M, et al. Differences between men and women in their risk of work injury and disability: A systematic review. Am J Ind Med. 2022 Jul;65(7):576-88. https://doi.org/10.1002/ajim.23364

Niedhammer I, Lesuffleur T, Labarthe G, Chastang JF. Role of working conditions in the explanation of occupational inequalities in work injury: findings from the national French SUMER survey. BMC Public Health. 2018 Mar;18(1):344. https://doi.org/10.1186/s12889-018-5254-7

Ronda-Perez E, Gosslin A, Martínez JM, Reid A. Injury vulnerability in Spain. Examination of risk among migrant and native workers. Saf Sci. 2019;115:36-41. https://doi.org/10.1016/j.ssci.2019.01.026

Ministério da Saúde (BR). Coordenação Geral de Desenvolvimento da Epidemiologia em Serviços. Guia de vigilância em saúde. Brasília, DF: Ministério da Saúde; 2022 [citado 27 abr 2023]. Disponível em: https://bvsms.saude.gov.br/bvs/publicacoes/guia_

vigilancia_saude_5ed_rev_atual.pdf

Galdino A, Santana VS, Ferrite S. Fatores associados à qualidade de registros de acidentes de trabalho no Sistema de Informações sobre Mortalidade no Brasil. Cad Saude Publica. 2019 Dec;36(1):e00218318. https://doi.org/10.1590/0102-311x00218318

Malta DC, Bernal RT, de Vasconcelos NM, Ribeiro AP, Vasconcelos LL, Machado EL. Acidentes no deslocamento e no trabalho entre brasileiros ocupados, Pesquisa Nacional de Saúde 2013 e 2019. Rev Bras Epidemiol. 2023;26(1): https://doi.org/10.1590/1980-549720230006

Rodrigues AB, Santana VS. Acidentes de trabalho fatais em Palmas, Tocantins, Brasil: oportunidades perdidas de informação. Rev Bras Saude Ocup. 2019;44:e8. https://doi.org/10.1590/2317-6369000017817

Zago AM, Meucci RD, Fiori N, Carret ML, Faria NM, Fassa AG. Prevalência e fatores associados à acidente de trabalho em fumicultores do Município de São Lourenço do Sul, RS, Brasil. Cien Saude Colet. 2018;23:1353-13. 62. https://doi.org/10.1590/1413-81232018235.13172016

Milner A, King T, LaMontagne AD, Bentley R, Kavanagh A. Men’s work, Women’s work, and mental health: A longitudinal investigation of the relationship between the gender composition of occupations and mental health. Soc Sci Med. 2018 May;204:16-22.

https://doi.org/10.1016/j.socscimed.2018.03.020

Gupta GR, Oomman N, Grown C, Conn K, Hawkes S, Shawar YR, et al. Gender equality and gender norms: framing the opportunities for health. Lancet. 2019 Jun;393(10190):2550-62. https://doi.org/10.1016/S0140-6736(19)30651-8

Vaz DV, Botassio DC. Occupational feminization and pay: the case of Brazil. Brazilian Review of Econometrics. 2023;42(1):e0220221. https://doi.org/10.12660/bre.v42n12022.85018

Stopa SR, Szwarcwald CL, Oliveira MM, Gouvea EC, Vieira ML, Freitas MP, et al. Pesquisa Nacional de Saúde 2019: histórico, métodos e perspectivas. Epidemiol Serv Saude. 2020 Oct;29(5):e2020315. https://doi.org/10.1590/s1679-49742020000500004

Instituto Brasileiro de Geografia e Estatística. Pesquisa Nacional de Saúde 2019. [citado 1 jul 2022]. Disponível em: https://www.ibge.gov.br/estatisticas/sociais/saude.html

Gonzalez-Delgado M, Gómez-Dantés H, Fernández-Niño JA, Robles E, Borja VH, Aguilar M. Factors associated with fatal occupational accidents among Mexican workers: a national analysis. PLoS One. 2015 Mar;10(3):e0121490. https://doi.org/10.1371/journal.pone.0121490

Ministério do Trabalho e Emprego (BR). CBO – Classificação Brasileira de Ocupações. Brasília, DF: Ministério do Trabalho e Emprego; 2010 [citado 28 abr 2023]. Disponível em: http://www.mtecbo.gov.br/cbosite/pages/home.jsf

International Labour Organization. International Standard Classification of Occupations (ISCO). 2023 [citado 21 abr 2023] Disponível em: https://ilostat.ilo.org/resources/concepts-anddefinitions/classification-occupation/

Instituto Brasileiro de Geografia e Estatística. Metodologia do censo demográfico 2010. 2013 [citado 21 abr 2023]. (Série Relatórios metodológicos, v. 41). Disponível em: https://ftp.ibge.gov.br/Censos/Censo_Demografico_2010/metodologia/metodologia_censo_dem_2010.pdf

Pastore J, Silva NV. Mobilidade social no Brasil. São Paulo: Makron; 2000. Chapter 2, A metodologia básica da mobilidade social. v. 2, p. 20-1.

Takala J. Burden of Injury due to Occupational Exposures. In: Bültmann U, Siegrist J, editors. Handbook of disability, work and health. Springer Cham; 2019 [cited 2023 May 5]. p. 1-22. Disponível em: https://doi.org/10.1007/978-3-319-75381-2_5-1

Zaniboni S, Kmicinska M, Truxillo DM, Kahn K, Paladino MP, Fraccaroli F. Will you still hire me when I am over 50? The effects of implicit and explicit age stereotyping on resume evaluations. Eur J Work Organ Psychol. 2019;28(4):453-67.

https://doi.org/10.1080/1359432X.2019.1600506

Costa-Font J, Ljunge M. The ‘healthy worker effect’: do healthy people climb the occupational ladder? Econ Hum Biol. 2018 Feb;28:119-31. https://doi.org/10.1016/j.ehb.2017.12.007

Turner N, Deng C, Granger S, Wingate TG, Shafqat R, Dueck PM. Young workers and safety: A critical review and future research agenda. J Safety Res. 2022 Dec;83:79-95. https://doi.org/10.1016/j.jsr.2022.08.006

Fischer D, Lombardi DA, Folkard S, Willetts J, Christiani DC. Updating the “Risk Index”: A systematic review and meta-analysis of occupational injuries and work schedule characteristics. Chronobiol Int. 2017;34(10):1423-38. https://doi.org/10.1080/07420528.2017.1367305

Wong K, Chan AH, Ngan SC. The effect of long working hours and overtime on occupational health: a meta-analysis of evidence from 1998 to 2018. Int J Environ Res Public Health. 2019 Jun;16(12):2102. https://doi.org/10.3390/ijerph16122102

Antón JI, Grande R, Muñoz de Bustillo R, Pinto F. Gender gaps in working conditions. Soc Indic Res. 2023;166(1):53-83. https://doi.org/10.1007/s11205-022-03035-z

Cherry N, Arrandale V, Beach J, Galarneau JF, Mannette A, Rodgers L. Health and work in women and men in the welding and electrical trades: how do they differ? Ann Work Expo Health. 2018 Apr;62(4):393-403. https://doi.org/10.1093/annweh/wxy007

Roscigno VJ. Discrimination, sexual harassment, and the impact of workplace power. Socius. 2019;5(5):1-21. https://doi.org/10.1177/2378023119853894

Rommel A, Varnaccia G, Lahmann N, Kottner J, Kroll LE. Occupational injuries in Germany: population-wide national survey data emphasize the importance of work-related factors. PLoS One. 2016 Feb;11(2):e0148798. https://doi.org/10.1371/journal.pone.0148798

Galobardes B, Shaw M, Lawlor DA, Lynch JW, Davey Smith G. Indicators of socioeconomic position (part 2). J Epidemiol Community Health. 2006 Feb;60(2):95-101. https://doi.org/10.1136/jech.2004.028092

Published

2024-04-11

Issue

Section

Original Articles

How to Cite

Gomides, L. de M., Abreu, M. N. S., & Assunção, A. Ávila. (2024). Occupational inequalities and gender differences: work accidents, Brazil, 2019. Revista De Saúde Pública, 58(1), 13. https://doi.org/10.11606/s1518-8787.2024058005342