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Prevalence of multimorbidity and associated factors in the Brazilian working population
INTRODUCTION: According to the World Health Organization (2018), recent changes in the epidemiological profile of working populations point to an increase in non-communicable chronic illnesses and a decrease in communicable chronic illnesses. OBJECTIVES: To estimate the prevalence of multimorbidity...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Associação Nacional de Medicina do Trabalho (ANAMT)
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7879477/ https://www.ncbi.nlm.nih.gov/pubmed/33597980 http://dx.doi.org/10.47626/1679-4435-2020-568 |
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author | de Souza, Ana Clara Dantas Barbosa, Isabelle Ribeiro de Souza, Dyego Leandro Bezerra |
author_facet | de Souza, Ana Clara Dantas Barbosa, Isabelle Ribeiro de Souza, Dyego Leandro Bezerra |
author_sort | de Souza, Ana Clara Dantas |
collection | PubMed |
description | INTRODUCTION: According to the World Health Organization (2018), recent changes in the epidemiological profile of working populations point to an increase in non-communicable chronic illnesses and a decrease in communicable chronic illnesses. OBJECTIVES: To estimate the prevalence of multimorbidity in the Brazilian working population (≥18 years) and identify associated factors based on data from the 2013 national health survey (Pesquisa Nacional de Saúde). METHODS: This was a cross sectional study based on data from the 2013 national health survey, which included n = 47,629 people aged 18 years or older. As part of the survey, participants were asked whether they had ever been diagnosed with any of several chronic diseases. The prevalence of multimorbidity in this population and its association with socioeconomic, lifestyle and occupational characteristics were examined. Bivariate analyses were used to calculate prevalence ratios and 95% confidence intervals. Multivariate analyses were conducted using Poisson regression and Wald’s tests to estimate the coefficients of significant variables. RESULTS: The prevalence of multimorbidity was 19.98% (95% confidence interval: 19.29%-20.70%). Higher rates of multimorbidity were associated with female gender, age 60 years or older, living with a spouse, past history of smoking, low education levels (illiterate/primary), living in urban areas, having medical or dental insurance and a history of work accidents. CONCLUSIONS: The prevalence of multimorbidity in the Brazilian population is low. When present, multimorbidity is associated with specific occupational, socioeconomic and lifestyle characteristics. |
format | Online Article Text |
id | pubmed-7879477 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Associação Nacional de Medicina do Trabalho (ANAMT) |
record_format | MEDLINE/PubMed |
spelling | pubmed-78794772021-02-16 Prevalence of multimorbidity and associated factors in the Brazilian working population de Souza, Ana Clara Dantas Barbosa, Isabelle Ribeiro de Souza, Dyego Leandro Bezerra Rev Bras Med Trab Artigo Original INTRODUCTION: According to the World Health Organization (2018), recent changes in the epidemiological profile of working populations point to an increase in non-communicable chronic illnesses and a decrease in communicable chronic illnesses. OBJECTIVES: To estimate the prevalence of multimorbidity in the Brazilian working population (≥18 years) and identify associated factors based on data from the 2013 national health survey (Pesquisa Nacional de Saúde). METHODS: This was a cross sectional study based on data from the 2013 national health survey, which included n = 47,629 people aged 18 years or older. As part of the survey, participants were asked whether they had ever been diagnosed with any of several chronic diseases. The prevalence of multimorbidity in this population and its association with socioeconomic, lifestyle and occupational characteristics were examined. Bivariate analyses were used to calculate prevalence ratios and 95% confidence intervals. Multivariate analyses were conducted using Poisson regression and Wald’s tests to estimate the coefficients of significant variables. RESULTS: The prevalence of multimorbidity was 19.98% (95% confidence interval: 19.29%-20.70%). Higher rates of multimorbidity were associated with female gender, age 60 years or older, living with a spouse, past history of smoking, low education levels (illiterate/primary), living in urban areas, having medical or dental insurance and a history of work accidents. CONCLUSIONS: The prevalence of multimorbidity in the Brazilian population is low. When present, multimorbidity is associated with specific occupational, socioeconomic and lifestyle characteristics. Associação Nacional de Medicina do Trabalho (ANAMT) 2021-02-11 /pmc/articles/PMC7879477/ /pubmed/33597980 http://dx.doi.org/10.47626/1679-4435-2020-568 Text en http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Artigo Original de Souza, Ana Clara Dantas Barbosa, Isabelle Ribeiro de Souza, Dyego Leandro Bezerra Prevalence of multimorbidity and associated factors in the Brazilian working population |
title | Prevalence of multimorbidity and associated factors in the Brazilian working population |
title_full | Prevalence of multimorbidity and associated factors in the Brazilian working population |
title_fullStr | Prevalence of multimorbidity and associated factors in the Brazilian working population |
title_full_unstemmed | Prevalence of multimorbidity and associated factors in the Brazilian working population |
title_short | Prevalence of multimorbidity and associated factors in the Brazilian working population |
title_sort | prevalence of multimorbidity and associated factors in the brazilian working population |
topic | Artigo Original |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7879477/ https://www.ncbi.nlm.nih.gov/pubmed/33597980 http://dx.doi.org/10.47626/1679-4435-2020-568 |
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