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

Abstract 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...

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Main Authors: Ana Lucia M. Leao, Anadergh Barbosa-Branco, Marília D. Turchi, Ivan A. Steenstra, Donald C. Cole
Format: Article
Language:English
Published: BMC 2017-12-01
Series:BMC Research Notes
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13104-017-3116-5
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spelling doaj-104bc25730d5448db19e1cb6ea50e1de2020-11-25T02:19:09ZengBMCBMC Research Notes1756-05002017-12-011011910.1186/s13104-017-3116-5Sickness absence among municipal workers in a Brazilian municipality: a secondary data analysisAna Lucia M. Leao0Anadergh Barbosa-Branco1Marília D. Turchi2Ivan A. Steenstra3Donald C. Cole4Institute of Tropical Pathology and Public Health, Federal University of GoiasInstitute of Tropical Pathology and Public Health, Federal University of GoiasInstitute of Tropical Pathology and Public Health, Federal University of GoiasDalla Lana School of Public Health, University of TorontoDalla Lana School of Public Health, University of TorontoAbstract 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.http://link.springer.com/article/10.1186/s13104-017-3116-5Sickness absenceSick leaveWork disabilityMusculoskeletal diseasesMental disordersInjuries
collection DOAJ
language English
format Article
sources DOAJ
author Ana Lucia M. Leao
Anadergh Barbosa-Branco
Marília D. Turchi
Ivan A. Steenstra
Donald C. Cole
spellingShingle Ana Lucia M. Leao
Anadergh Barbosa-Branco
Marília D. Turchi
Ivan A. Steenstra
Donald C. Cole
Sickness absence among municipal workers in a Brazilian municipality: a secondary data analysis
BMC Research Notes
Sickness absence
Sick leave
Work disability
Musculoskeletal diseases
Mental disorders
Injuries
author_facet Ana Lucia M. Leao
Anadergh Barbosa-Branco
Marília D. Turchi
Ivan A. Steenstra
Donald C. Cole
author_sort Ana Lucia M. Leao
title 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_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_sort sickness absence among municipal workers in a brazilian municipality: a secondary data analysis
publisher BMC
series BMC Research Notes
issn 1756-0500
publishDate 2017-12-01
description Abstract 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.
topic Sickness absence
Sick leave
Work disability
Musculoskeletal diseases
Mental disorders
Injuries
url http://link.springer.com/article/10.1186/s13104-017-3116-5
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