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A saúde dos trabalhadores da atividade rural no Brasil

Overview of attention for article published in Cadernos de Saúde Pública, August 2015
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Title
A saúde dos trabalhadores da atividade rural no Brasil
Published in
Cadernos de Saúde Pública, August 2015
DOI 10.1590/0102-311x00105114
Pubmed ID
Authors

Jessica Pronestino de Lima Moreira, Bruno Luciano Carneiro Alves de Oliveira, Camila Drumond Muzi, Carlos Leonardo Figueiredo Cunha, Alexandre dos Santos Brito, Ronir Raggio Luiz

Abstract

Workers' health is a central theme in public health surveys, but the specificity of work activities should be considered. This study aimed to analyze the health of rural workers in Brazil that perform both agricultural and non-agricultural work, based on self-rated health and self-reported diseases. The Brazilian National Household Sample Survey (PNAD 2008) was used, incorporating information from the complex sampling plan. Agricultural workers 18 years or older were selected, stratified according to those with and without non-agricultural work. Logistic regression was performed for self-rated health, and odds ratios were calculated for self-reported diseases. Exclusive agricultural work decreased the odds of reporting good health and increased the odds of reporting back pain, high blood pressure, and arthritis/rheumatism. Exclusive agricultural workers reported more diseases and worse living conditions. Self-rated health was generally better in workers with non-agricultural occupations.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 24%
Student > Bachelor 3 18%
Student > Doctoral Student 3 18%
Student > Ph. D. Student 3 18%
Librarian 1 6%
Other 2 12%
Unknown 1 6%
Readers by discipline Count As %
Medicine and Dentistry 7 41%
Engineering 2 12%
Social Sciences 2 12%
Agricultural and Biological Sciences 1 6%
Nursing and Health Professions 1 6%
Other 1 6%
Unknown 3 18%