2021
DOI: 10.1590/1980-220x-reeusp-2020-0408
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Work conditions and their repercussions on the quality of life of rural workers

Abstract: Objective: To assess the context of work and analyze their repercussions on the quality of life of rural workers in soybean agribusiness. Method: Cross-sectional study, with an intentional sample of rural workers, conducted between the months of October and December 2019, with the application of the instruments World Health Organization Quality Life-bref and Scales of Assessment of Context and Human Cost of Work. The data were analyzed through bivariate and multivariate descriptive statistics. Results: The p… Show more

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“…Um estudo usou só a Escala de Indicadores de Prazer e Sofrimento no Trabalho (EIPST) 50 . A maioria (n=5) utilizou a Escala de Avaliação de contexto de trabalho (EACT) combinada com a Escala de Custo Humano do Trabalho (ECHT) 35 (Tabela 1) e/ou com outros instrumentos de avaliação de APST 30,53,61 (Tabelas 1 e 2).…”
Section: Resultsunclassified
“…Um estudo usou só a Escala de Indicadores de Prazer e Sofrimento no Trabalho (EIPST) 50 . A maioria (n=5) utilizou a Escala de Avaliação de contexto de trabalho (EACT) combinada com a Escala de Custo Humano do Trabalho (ECHT) 35 (Tabela 1) e/ou com outros instrumentos de avaliação de APST 30,53,61 (Tabelas 1 e 2).…”
Section: Resultsunclassified
“…Both concepts of QoL and labor are linked. QoL has an impact on labor conditions, and such a QoL perception by the population covers either individual subjective aspects or individual and socio-environmental factors that surround a given socio-cultural context, as well as aspects like objectively measuring human life conditions, healthm and labor (Bartolović 2024;Cecere et al 2023;De Oliveira et al 2021;Louzado et al 2021;Randall et al 2023;Razika et al 2023;Sousa et al 2023;Turgut et al 2024). Different statistical methods and questionnaires have been used to investigate and analyze QoL and its relation to labor, such as WHOQOL-bref (Fleck et al 2000), WHOQOL-100 (Fleck et al 1999), cluster analysis (Bird et al 2023), logistic regression (Maryam et al 2023), and, most recently, discriminant analysis (Dunuwila et al 2023).…”
Section: Introductionmentioning
confidence: 99%