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Self-rated health status and associated factors in rural workers

BACKGROUND: Self-rated health status can be considered a good predictor of morbidity and mortality and has been used due to its easy assessment and applicability. The instrument is efficient for understanding sociodemographic, environmental and clinical conditions that may be related to the self-rat...

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Autores principales: Martins, Cleodice Alves, do Prado, Camila Bruneli, Ferreira, Júlia Rabelo Santos, Zandonade, Eliana, de Paula Alves Bezerra, Olívia Maria, Salaroli, Luciane Bresciani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10091575/
https://www.ncbi.nlm.nih.gov/pubmed/37046261
http://dx.doi.org/10.1186/s12889-023-15548-4
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author Martins, Cleodice Alves
do Prado, Camila Bruneli
Ferreira, Júlia Rabelo Santos
Zandonade, Eliana
de Paula Alves Bezerra, Olívia Maria
Salaroli, Luciane Bresciani
author_facet Martins, Cleodice Alves
do Prado, Camila Bruneli
Ferreira, Júlia Rabelo Santos
Zandonade, Eliana
de Paula Alves Bezerra, Olívia Maria
Salaroli, Luciane Bresciani
author_sort Martins, Cleodice Alves
collection PubMed
description BACKGROUND: Self-rated health status can be considered a good predictor of morbidity and mortality and has been used due to its easy assessment and applicability. The instrument is efficient for understanding sociodemographic, environmental and clinical conditions that may be related to the self-rated health status. Thus, this study aims to analyze the self-assessment of health status in rural workers and its association with socioeconomic characteristics, lifestyle, clinical condition and work characteristics. METHODS: This is a cross-sectional study carried out with 787 male and female rural reporting agriculture as their main source of income in the municipality of Santa Maria de Jetibá. A simple and direct question was used “In general, compared to people your age, how do you rate your own state of health?” to see how rural workers rate their current health status. The independent variables analyzed were socioeconomic, clinical, health and work conditions. The magnitude of the associations was evaluated by means of hierarchical logistic regression. RESULTS: It was found that 42.1% of rural workers self-rated their health status as regular or poor. Belonging to socioeconomic classes C (OR = 1.937; 95% CI = 1.009–3.720) or D/E (OR = 2.280; 95% CI = 1.178–4.415), being overweight (or having excess weight) (OR = 1.477; 95% CI = 1.086–2.008), multimorbidity (OR = 1.715; 95% CI = 1.201–2.447) and complex multimorbidity (OR = 1.738; 95% CI = 1.097–2.751) were risk factors for worse self-rated health. CONCLUSION: It was concluded that chronic diseases, socioeconomic status and overweight are risk factors for negative self-rated health. The identification of these determinants through self-rated status can support the planning of actions aimed at improving the health of the rural population. TRIAL REGISTRATION: This study was approved by the Research Ethics Committee of the Health Sciences Center of the Federal University of Espírito Santo (Protocol No. 2091172; CAAE No. 52839116.3.0000.5060). All research participants gave their informed consent.
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spelling pubmed-100915752023-04-13 Self-rated health status and associated factors in rural workers Martins, Cleodice Alves do Prado, Camila Bruneli Ferreira, Júlia Rabelo Santos Zandonade, Eliana de Paula Alves Bezerra, Olívia Maria Salaroli, Luciane Bresciani BMC Public Health Research BACKGROUND: Self-rated health status can be considered a good predictor of morbidity and mortality and has been used due to its easy assessment and applicability. The instrument is efficient for understanding sociodemographic, environmental and clinical conditions that may be related to the self-rated health status. Thus, this study aims to analyze the self-assessment of health status in rural workers and its association with socioeconomic characteristics, lifestyle, clinical condition and work characteristics. METHODS: This is a cross-sectional study carried out with 787 male and female rural reporting agriculture as their main source of income in the municipality of Santa Maria de Jetibá. A simple and direct question was used “In general, compared to people your age, how do you rate your own state of health?” to see how rural workers rate their current health status. The independent variables analyzed were socioeconomic, clinical, health and work conditions. The magnitude of the associations was evaluated by means of hierarchical logistic regression. RESULTS: It was found that 42.1% of rural workers self-rated their health status as regular or poor. Belonging to socioeconomic classes C (OR = 1.937; 95% CI = 1.009–3.720) or D/E (OR = 2.280; 95% CI = 1.178–4.415), being overweight (or having excess weight) (OR = 1.477; 95% CI = 1.086–2.008), multimorbidity (OR = 1.715; 95% CI = 1.201–2.447) and complex multimorbidity (OR = 1.738; 95% CI = 1.097–2.751) were risk factors for worse self-rated health. CONCLUSION: It was concluded that chronic diseases, socioeconomic status and overweight are risk factors for negative self-rated health. The identification of these determinants through self-rated status can support the planning of actions aimed at improving the health of the rural population. TRIAL REGISTRATION: This study was approved by the Research Ethics Committee of the Health Sciences Center of the Federal University of Espírito Santo (Protocol No. 2091172; CAAE No. 52839116.3.0000.5060). All research participants gave their informed consent. BioMed Central 2023-04-12 /pmc/articles/PMC10091575/ /pubmed/37046261 http://dx.doi.org/10.1186/s12889-023-15548-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Martins, Cleodice Alves
do Prado, Camila Bruneli
Ferreira, Júlia Rabelo Santos
Zandonade, Eliana
de Paula Alves Bezerra, Olívia Maria
Salaroli, Luciane Bresciani
Self-rated health status and associated factors in rural workers
title Self-rated health status and associated factors in rural workers
title_full Self-rated health status and associated factors in rural workers
title_fullStr Self-rated health status and associated factors in rural workers
title_full_unstemmed Self-rated health status and associated factors in rural workers
title_short Self-rated health status and associated factors in rural workers
title_sort self-rated health status and associated factors in rural workers
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10091575/
https://www.ncbi.nlm.nih.gov/pubmed/37046261
http://dx.doi.org/10.1186/s12889-023-15548-4
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