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Workers’ Health Surveillance in the Meat Processing Industry: Work and Health Indicators Associated with Work Ability
Background Workers’ health surveillance (WHS) programs commonly measure a large number of indicators addressing health habits and health risks. Recently, work ability and functional capacity have been included as important risk measures in WHS. In order to address work ability appropriately, knowled...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4540765/ https://www.ncbi.nlm.nih.gov/pubmed/25678067 http://dx.doi.org/10.1007/s10926-015-9569-2 |
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author | van Holland, Berry J. Soer, Remko de Boer, Michiel R. Reneman, Michiel F. Brouwer, Sandra |
author_facet | van Holland, Berry J. Soer, Remko de Boer, Michiel R. Reneman, Michiel F. Brouwer, Sandra |
author_sort | van Holland, Berry J. |
collection | PubMed |
description | Background Workers’ health surveillance (WHS) programs commonly measure a large number of indicators addressing health habits and health risks. Recently, work ability and functional capacity have been included as important risk measures in WHS. In order to address work ability appropriately, knowledge of associations with work and health measures is necessary. The objective of this study was to evaluate which of the factors measured in a WHS are independently associated with work ability in a group of meat processing workers. Methods A cross-sectional study was performed in a large meat processing company in The Netherlands. Data were collected during a WHS between February 2012 and March 2014. Personal characteristics, health habits and health-risk indicators, functional capacity, and work-related factors were measured. Work ability was measured with the Work Ability Index and was used as dependent variable. Univariable and multivariable logistic regression analyses were conducted, a receiver operating characteristic curve was constructed and the area under the curve (AUC) was calculated. Results Data sets from 230 employees were used for analyses. The average age was 53 years and the average work ability index score was 39.3. In the final multivariable model age (OR 0.94), systolic blood pressure (OR 1.03), need for recovery (OR 0.56), and overhead work capacity (OR 3.95) contributed significantly. The AUC for this model was 0.81 (95 % CI 0.75–0.86). Conclusion Findings from the current study indicate that multifactorial outcomes (age, systolic blood pressure, need for recovery, and overhead work capacity) from a WHS were independently associated with work ability. These factors can be used to assess employees at risk for low work ability and might provide directions for interventions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10926-015-9569-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4540765 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-45407652015-08-21 Workers’ Health Surveillance in the Meat Processing Industry: Work and Health Indicators Associated with Work Ability van Holland, Berry J. Soer, Remko de Boer, Michiel R. Reneman, Michiel F. Brouwer, Sandra J Occup Rehabil Article Background Workers’ health surveillance (WHS) programs commonly measure a large number of indicators addressing health habits and health risks. Recently, work ability and functional capacity have been included as important risk measures in WHS. In order to address work ability appropriately, knowledge of associations with work and health measures is necessary. The objective of this study was to evaluate which of the factors measured in a WHS are independently associated with work ability in a group of meat processing workers. Methods A cross-sectional study was performed in a large meat processing company in The Netherlands. Data were collected during a WHS between February 2012 and March 2014. Personal characteristics, health habits and health-risk indicators, functional capacity, and work-related factors were measured. Work ability was measured with the Work Ability Index and was used as dependent variable. Univariable and multivariable logistic regression analyses were conducted, a receiver operating characteristic curve was constructed and the area under the curve (AUC) was calculated. Results Data sets from 230 employees were used for analyses. The average age was 53 years and the average work ability index score was 39.3. In the final multivariable model age (OR 0.94), systolic blood pressure (OR 1.03), need for recovery (OR 0.56), and overhead work capacity (OR 3.95) contributed significantly. The AUC for this model was 0.81 (95 % CI 0.75–0.86). Conclusion Findings from the current study indicate that multifactorial outcomes (age, systolic blood pressure, need for recovery, and overhead work capacity) from a WHS were independently associated with work ability. These factors can be used to assess employees at risk for low work ability and might provide directions for interventions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10926-015-9569-2) contains supplementary material, which is available to authorized users. Springer US 2015-02-13 2015 /pmc/articles/PMC4540765/ /pubmed/25678067 http://dx.doi.org/10.1007/s10926-015-9569-2 Text en © The Author(s) 2015 https://creativecommons.org/licenses/by/4.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. |
spellingShingle | Article van Holland, Berry J. Soer, Remko de Boer, Michiel R. Reneman, Michiel F. Brouwer, Sandra Workers’ Health Surveillance in the Meat Processing Industry: Work and Health Indicators Associated with Work Ability |
title | Workers’ Health Surveillance in the Meat Processing Industry: Work and Health Indicators Associated with Work Ability |
title_full | Workers’ Health Surveillance in the Meat Processing Industry: Work and Health Indicators Associated with Work Ability |
title_fullStr | Workers’ Health Surveillance in the Meat Processing Industry: Work and Health Indicators Associated with Work Ability |
title_full_unstemmed | Workers’ Health Surveillance in the Meat Processing Industry: Work and Health Indicators Associated with Work Ability |
title_short | Workers’ Health Surveillance in the Meat Processing Industry: Work and Health Indicators Associated with Work Ability |
title_sort | workers’ health surveillance in the meat processing industry: work and health indicators associated with work ability |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4540765/ https://www.ncbi.nlm.nih.gov/pubmed/25678067 http://dx.doi.org/10.1007/s10926-015-9569-2 |
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