Implications of health conditions on rural soybean workers’ quality of life

Implications of health conditions on rural soybean workers’ quality of life

ABSTRACT Objective: to analyze the implications of health conditions on rural workers’ quality of life in the context of soybean production. Method: a cross-sectional study, with an intentional sample of 299 male rural workers. Data collection took place between October and December 2019. The following instruments were used: World Health Organization Quality Life-bref; Rural Workers’ Living & Health Conditions questionnaire; International Physical Activity Questionnaire; Cut down, Annoyed, Guilty, and Eye-opener. They were analyzed via descriptive and inferential statistics, using bivariate (Mann-Whitney; Kruskal-Wallis) and multivariate tests (generalized additive models for location, scale and shape). Results: the presence of a diagnosis of morbidity, alcohol dependence, occupational accidents and absenteeism implied a decrease in workers’ quality of life scores. Conclusion: the existence of unfavorable health conditions has a negative impact on rural soybean workers’ quality of life.

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Bibliographic Details
Main Authors: Oliveira,Jeane Cristina Anschau Xavier de, Corrêa,Áurea Christina de Paula, Rocha,Roseanne Montargil, Santos,Ediálida Costa, Beltrame,Renata Cristina Teixeira, Borges,Angélica Pereira
Format: Digital revista
Language:English
Published: Associação Brasileira de Enfermagem 2022
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672022001100229
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Summary:ABSTRACT Objective: to analyze the implications of health conditions on rural workers’ quality of life in the context of soybean production. Method: a cross-sectional study, with an intentional sample of 299 male rural workers. Data collection took place between October and December 2019. The following instruments were used: World Health Organization Quality Life-bref; Rural Workers’ Living & Health Conditions questionnaire; International Physical Activity Questionnaire; Cut down, Annoyed, Guilty, and Eye-opener. They were analyzed via descriptive and inferential statistics, using bivariate (Mann-Whitney; Kruskal-Wallis) and multivariate tests (generalized additive models for location, scale and shape). Results: the presence of a diagnosis of morbidity, alcohol dependence, occupational accidents and absenteeism implied a decrease in workers’ quality of life scores. Conclusion: the existence of unfavorable health conditions has a negative impact on rural soybean workers’ quality of life.

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