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Sickness absence among municipal workers in a Brazilian municipality: a secondary data analysis

BACKGROUND: Sickness absence, work disability associated with illness or injury, is a major public health problem worldwide. Some studies have investigated determinants of sickness absence among workers with shorter job tenure, but have only focused on certain diagnostic groups. Although it is well...

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Autores principales: Leao, Ana Lucia M., Barbosa-Branco, Anadergh, Turchi, Marília D., Steenstra, Ivan A., Cole, Donald C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5745616/
https://www.ncbi.nlm.nih.gov/pubmed/29282116
http://dx.doi.org/10.1186/s13104-017-3116-5
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author Leao, Ana Lucia M.
Barbosa-Branco, Anadergh
Turchi, Marília D.
Steenstra, Ivan A.
Cole, Donald C.
author_facet Leao, Ana Lucia M.
Barbosa-Branco, Anadergh
Turchi, Marília D.
Steenstra, Ivan A.
Cole, Donald C.
author_sort Leao, Ana Lucia M.
collection PubMed
description BACKGROUND: Sickness absence, work disability associated with illness or injury, is a major public health problem worldwide. Some studies have investigated determinants of sickness absence among workers with shorter job tenure, but have only focused on certain diagnostic groups. Although it is well established that job tenure has an inverse relationship with work injury rate, less is known about its association with sickness absence for other disorders. Therefore, this study aimed to investigate the risk factors for incidence and duration of sickness absence according to diagnosis over a 7-year period. A dynamic cohort consisting of all permanent civil servants hired from 2005 to 2011 by the Goiania municipality-Brazil. Data of certified sickness absences longer than 3 days were analyzed. The incidence density was calculated per 1000 person-years in each ICD-10 category. The association between sickness absence and socio-demographic and occupational characteristics was examined using negative binomial regression models. RESULTS: 18,450 workers, mean age of 32 years, accumulated 14,909 episodes of sickness absence. Overall, the incidence density was 234.6 episodes per 1000 person years. Diagnostic groups with the highest incidence density of sickness absences were injuries (49.1), musculoskeletal disorders (31.3) and mental disorders (29.2). Factors predicting any sickness absence were female gender, older age, low education, being a health professional, multiple jobs and full-time employment. Mental health disorders were more common among education professionals, musculoskeletal disorders among blue collar workers and injuries among inspection workers. Prolonged time on sick leave was associated with male gender, older age groups, low education and income, blue-collar workers, more than one job contract and full time employment. CONCLUSIONS: These findings demonstrate a substantial sickness absentee burden and they provide relevant information for targeting prevention and health promotion policies to the most vulnerable occupational groups. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13104-017-3116-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-57456162018-01-03 Sickness absence among municipal workers in a Brazilian municipality: a secondary data analysis Leao, Ana Lucia M. Barbosa-Branco, Anadergh Turchi, Marília D. Steenstra, Ivan A. Cole, Donald C. BMC Res Notes Research Article BACKGROUND: Sickness absence, work disability associated with illness or injury, is a major public health problem worldwide. Some studies have investigated determinants of sickness absence among workers with shorter job tenure, but have only focused on certain diagnostic groups. Although it is well established that job tenure has an inverse relationship with work injury rate, less is known about its association with sickness absence for other disorders. Therefore, this study aimed to investigate the risk factors for incidence and duration of sickness absence according to diagnosis over a 7-year period. A dynamic cohort consisting of all permanent civil servants hired from 2005 to 2011 by the Goiania municipality-Brazil. Data of certified sickness absences longer than 3 days were analyzed. The incidence density was calculated per 1000 person-years in each ICD-10 category. The association between sickness absence and socio-demographic and occupational characteristics was examined using negative binomial regression models. RESULTS: 18,450 workers, mean age of 32 years, accumulated 14,909 episodes of sickness absence. Overall, the incidence density was 234.6 episodes per 1000 person years. Diagnostic groups with the highest incidence density of sickness absences were injuries (49.1), musculoskeletal disorders (31.3) and mental disorders (29.2). Factors predicting any sickness absence were female gender, older age, low education, being a health professional, multiple jobs and full-time employment. Mental health disorders were more common among education professionals, musculoskeletal disorders among blue collar workers and injuries among inspection workers. Prolonged time on sick leave was associated with male gender, older age groups, low education and income, blue-collar workers, more than one job contract and full time employment. CONCLUSIONS: These findings demonstrate a substantial sickness absentee burden and they provide relevant information for targeting prevention and health promotion policies to the most vulnerable occupational groups. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13104-017-3116-5) contains supplementary material, which is available to authorized users. BioMed Central 2017-12-28 /pmc/articles/PMC5745616/ /pubmed/29282116 http://dx.doi.org/10.1186/s13104-017-3116-5 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Leao, Ana Lucia M.
Barbosa-Branco, Anadergh
Turchi, Marília D.
Steenstra, Ivan A.
Cole, Donald C.
Sickness absence among municipal workers in a Brazilian municipality: a secondary data analysis
title Sickness absence among municipal workers in a Brazilian municipality: a secondary data analysis
title_full Sickness absence among municipal workers in a Brazilian municipality: a secondary data analysis
title_fullStr Sickness absence among municipal workers in a Brazilian municipality: a secondary data analysis
title_full_unstemmed Sickness absence among municipal workers in a Brazilian municipality: a secondary data analysis
title_short Sickness absence among municipal workers in a Brazilian municipality: a secondary data analysis
title_sort sickness absence among municipal workers in a brazilian municipality: a secondary data analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5745616/
https://www.ncbi.nlm.nih.gov/pubmed/29282116
http://dx.doi.org/10.1186/s13104-017-3116-5
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