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Assessment of the Influence of Contracting Models on the Well-Being of Construction Workers in the Brazilian Amazon

Author(s):

ORCID
ORCID
ORCID
Medium: journal article
Language(s): English
Published in: Buildings, , n. 8, v. 14
Page(s): 2539
DOI: 10.3390/buildings14082539
Abstract:

The construction industry is known to present various stress-inducing conditions for its workforce, especially for workers under different employment arrangements. This research aims to investigate the influence of employment status (permanent and temporary workers) on the perception of well-being at work (WBW). The study also aims to assess whether variables such as satisfaction, commitment, and involvement are statistically significant in evaluating construction workers’ WBW. The research was conducted at various construction sites located in the Brazilian Amazon. A total of 376 responses were obtained using the Work Well-being Inventory (IBET-13) questionnaire. A multiple linear regression model was constructed to understand the relationship between self-perceived well-being (dependent variable) by employees and employment status, satisfaction, commitment, and involvement at work (independent variables). The results suggest that the employment arrangement does not significantly impact the evaluation of well-being, indicating that other factors may mediate the relationship between WBW and mental health, as well as contribute to explaining this result, such as current legislation, occupational characteristics, and unique aspects of the Brazilian reality. The research findings can contribute to the development of strategies that promote a more sustainable and healthy construction environment for workers.

Copyright: © 2024 by the authors; licensee MDPI, Basel, Switzerland.
License:

This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met.

  • About this
    data sheet
  • Reference-ID
    10795314
  • Published on:
    01/09/2024
  • Last updated on:
    01/09/2024
 
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