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Multimorbidity and complex multimorbidity in Brazilian rural workers
OBJECTIVE: To estimate the prevalence of multimorbidity and complex multimorbidity in rural workers and their association with sociodemographic characteristics, occupational contact with pesticides, lifestyle and clinical condition. METHODS: This is a cross-sectional epidemiological study with 806 f...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6863555/ https://www.ncbi.nlm.nih.gov/pubmed/31743369 http://dx.doi.org/10.1371/journal.pone.0225416 |
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author | Petarli, Glenda Blaser Cattafesta, Monica Sant’Anna, Monike Moreto Bezerra, Olívia Maria de Paula Alves Zandonade, Eliana Salaroli, Luciane Bresciani |
author_facet | Petarli, Glenda Blaser Cattafesta, Monica Sant’Anna, Monike Moreto Bezerra, Olívia Maria de Paula Alves Zandonade, Eliana Salaroli, Luciane Bresciani |
author_sort | Petarli, Glenda Blaser |
collection | PubMed |
description | OBJECTIVE: To estimate the prevalence of multimorbidity and complex multimorbidity in rural workers and their association with sociodemographic characteristics, occupational contact with pesticides, lifestyle and clinical condition. METHODS: This is a cross-sectional epidemiological study with 806 farmers from the main agricultural municipality of the state of Espírito Santo/Brazil, conducted from December 2016 to April 2017. Multimorbidity was defined as the presence of two or more chronic diseases in the same individual, while complex multimorbidity was classified as the occurrence of three or more chronic conditions affecting three or more body systems. Socio-demographic data, occupational contact with pesticides, lifestyle data and clinical condition data were collected through a structured questionnaire. Binary logistic regression was conducted to identify risk factors for multimorbidity. RESULTS: The prevalence of multimorbidity among farmers was 41.5% (n = 328), and complex multimorbidity was 16.7% (n = 132). More than 77% of farmers had at least one chronic illness. Hypertension, dyslipidemia and depression were the most prevalent morbidities. Being 40 years or older (OR 3.33, 95% CI 2.06–5.39), previous medical diagnosis of pesticide poisoning (OR 1.89, 95% CI 1.03–3.44), high waist circumference (OR 2.82, CI 95% 1.98–4.02) and worse health self-assessment (OR 2.10, 95% CI 1.52–2.91) significantly increased the chances of multimorbidity. The same associations were found for the diagnosis of complex multimorbidity. CONCLUSION: We identified a high prevalence of multimorbidity and complex multimorbidity among the evaluated farmers. These results were associated with increased age, abdominal fat, pesticide poisoning, and poor or fair health self-assessment. Public policies are necessary to prevent, control and treat this condition in this population. |
format | Online Article Text |
id | pubmed-6863555 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-68635552019-12-07 Multimorbidity and complex multimorbidity in Brazilian rural workers Petarli, Glenda Blaser Cattafesta, Monica Sant’Anna, Monike Moreto Bezerra, Olívia Maria de Paula Alves Zandonade, Eliana Salaroli, Luciane Bresciani PLoS One Research Article OBJECTIVE: To estimate the prevalence of multimorbidity and complex multimorbidity in rural workers and their association with sociodemographic characteristics, occupational contact with pesticides, lifestyle and clinical condition. METHODS: This is a cross-sectional epidemiological study with 806 farmers from the main agricultural municipality of the state of Espírito Santo/Brazil, conducted from December 2016 to April 2017. Multimorbidity was defined as the presence of two or more chronic diseases in the same individual, while complex multimorbidity was classified as the occurrence of three or more chronic conditions affecting three or more body systems. Socio-demographic data, occupational contact with pesticides, lifestyle data and clinical condition data were collected through a structured questionnaire. Binary logistic regression was conducted to identify risk factors for multimorbidity. RESULTS: The prevalence of multimorbidity among farmers was 41.5% (n = 328), and complex multimorbidity was 16.7% (n = 132). More than 77% of farmers had at least one chronic illness. Hypertension, dyslipidemia and depression were the most prevalent morbidities. Being 40 years or older (OR 3.33, 95% CI 2.06–5.39), previous medical diagnosis of pesticide poisoning (OR 1.89, 95% CI 1.03–3.44), high waist circumference (OR 2.82, CI 95% 1.98–4.02) and worse health self-assessment (OR 2.10, 95% CI 1.52–2.91) significantly increased the chances of multimorbidity. The same associations were found for the diagnosis of complex multimorbidity. CONCLUSION: We identified a high prevalence of multimorbidity and complex multimorbidity among the evaluated farmers. These results were associated with increased age, abdominal fat, pesticide poisoning, and poor or fair health self-assessment. Public policies are necessary to prevent, control and treat this condition in this population. Public Library of Science 2019-11-19 /pmc/articles/PMC6863555/ /pubmed/31743369 http://dx.doi.org/10.1371/journal.pone.0225416 Text en © 2019 Petarli et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Petarli, Glenda Blaser Cattafesta, Monica Sant’Anna, Monike Moreto Bezerra, Olívia Maria de Paula Alves Zandonade, Eliana Salaroli, Luciane Bresciani Multimorbidity and complex multimorbidity in Brazilian rural workers |
title | Multimorbidity and complex multimorbidity in Brazilian rural workers |
title_full | Multimorbidity and complex multimorbidity in Brazilian rural workers |
title_fullStr | Multimorbidity and complex multimorbidity in Brazilian rural workers |
title_full_unstemmed | Multimorbidity and complex multimorbidity in Brazilian rural workers |
title_short | Multimorbidity and complex multimorbidity in Brazilian rural workers |
title_sort | multimorbidity and complex multimorbidity in brazilian rural workers |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6863555/ https://www.ncbi.nlm.nih.gov/pubmed/31743369 http://dx.doi.org/10.1371/journal.pone.0225416 |
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