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Risk factors for absenteeism due to sick leave in the petroleum industry
OBJECTIVE: To identify risk factors for absenteeism among workers with sick leave in an oil company. METHODS: A case-control study (120 cases and 656 controls) nested in a retrospective cohort study following up all employees of an oil company in the North-Northeast of Brazil from 2007 to 2009. The...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Faculdade de Saúde Pública da Universidade de
São Paulo
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4206122/ https://www.ncbi.nlm.nih.gov/pubmed/24789643 http://dx.doi.org/10.1590/S0034-8910.2014048004609 |
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author | Oenning, Nágila Soares Xavier Carvalho, Fernando Martins Lima, Veronica Maria Cadena |
author_facet | Oenning, Nágila Soares Xavier Carvalho, Fernando Martins Lima, Veronica Maria Cadena |
author_sort | Oenning, Nágila Soares Xavier |
collection | PubMed |
description | OBJECTIVE: To identify risk factors for absenteeism among workers with sick leave in an oil company. METHODS: A case-control study (120 cases and 656 controls) nested in a retrospective cohort study following up all employees of an oil company in the North-Northeast of Brazil from 2007 to 2009. The response variable used to represent absenteeism with sick leave was the average incidence of sick leave, defined as the ratio between total sick days and potential working days in the period. Logistic regression techniques were used to investigate the association between average incidence of sick leave > 5.0% over the period and the variables sex, position, age, time at work, shift work, smoking, arterial hypertension, body mass index, physical activity, coronary risk, sleep, glycemia, non-managed diabetes, cardiovascular, digestive, musculoskeletal, neurological and neoplastic diseases, straining body positioning during work, satisfaction at work, relationship with management, and concentrated attention at work. RESULTS: Average incidence of sick leave higher than 5.0% in the cohort period was 15.5%. The logistic model revealed that workers with average incidence of sick leave higher than 5.0% were 2.6 times more likely to be female; 2.0 time more likely to be smokers; 1.8 time more likely to be former smokers; 2.2 times more likely to report abnormal sleep and 10.5 times more likely to report dissatisfaction with their than workers with average incidence of sick leave ≤ 5.0% in the period. CONCLUSIONS: In this population, female gender, being a smoker or a former smoker, reporting dissatisfaction with the job and reporting abnormal sleep are good predictors of occupational absenteeism with sick leave. |
format | Online Article Text |
id | pubmed-4206122 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Faculdade de Saúde Pública da Universidade de
São Paulo |
record_format | MEDLINE/PubMed |
spelling | pubmed-42061222015-01-07 Risk factors for absenteeism due to sick leave in the petroleum industry Oenning, Nágila Soares Xavier Carvalho, Fernando Martins Lima, Veronica Maria Cadena Rev Saude Publica Original Articles OBJECTIVE: To identify risk factors for absenteeism among workers with sick leave in an oil company. METHODS: A case-control study (120 cases and 656 controls) nested in a retrospective cohort study following up all employees of an oil company in the North-Northeast of Brazil from 2007 to 2009. The response variable used to represent absenteeism with sick leave was the average incidence of sick leave, defined as the ratio between total sick days and potential working days in the period. Logistic regression techniques were used to investigate the association between average incidence of sick leave > 5.0% over the period and the variables sex, position, age, time at work, shift work, smoking, arterial hypertension, body mass index, physical activity, coronary risk, sleep, glycemia, non-managed diabetes, cardiovascular, digestive, musculoskeletal, neurological and neoplastic diseases, straining body positioning during work, satisfaction at work, relationship with management, and concentrated attention at work. RESULTS: Average incidence of sick leave higher than 5.0% in the cohort period was 15.5%. The logistic model revealed that workers with average incidence of sick leave higher than 5.0% were 2.6 times more likely to be female; 2.0 time more likely to be smokers; 1.8 time more likely to be former smokers; 2.2 times more likely to report abnormal sleep and 10.5 times more likely to report dissatisfaction with their than workers with average incidence of sick leave ≤ 5.0% in the period. CONCLUSIONS: In this population, female gender, being a smoker or a former smoker, reporting dissatisfaction with the job and reporting abnormal sleep are good predictors of occupational absenteeism with sick leave. Faculdade de Saúde Pública da Universidade de São Paulo 2014-02 /pmc/articles/PMC4206122/ /pubmed/24789643 http://dx.doi.org/10.1590/S0034-8910.2014048004609 Text en http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Oenning, Nágila Soares Xavier Carvalho, Fernando Martins Lima, Veronica Maria Cadena Risk factors for absenteeism due to sick leave in the petroleum industry |
title | Risk factors for absenteeism due to sick leave in the petroleum
industry |
title_full | Risk factors for absenteeism due to sick leave in the petroleum
industry |
title_fullStr | Risk factors for absenteeism due to sick leave in the petroleum
industry |
title_full_unstemmed | Risk factors for absenteeism due to sick leave in the petroleum
industry |
title_short | Risk factors for absenteeism due to sick leave in the petroleum
industry |
title_sort | risk factors for absenteeism due to sick leave in the petroleum
industry |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4206122/ https://www.ncbi.nlm.nih.gov/pubmed/24789643 http://dx.doi.org/10.1590/S0034-8910.2014048004609 |
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