Evidence map›Paper›PMID 25678067›Full record

ArticleJournal of occupational rehabilitation2015

Workers' Health Surveillance in the Meat Processing Industry: Work and Health Indicators Associated with Work Ability.

Berry J van Holland, Remko Soer, Michiel R de Boer, Michiel F Reneman, Sandra Brouwer

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Article in Journal of occupational rehabilitation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Berry J van HollandDepartment of Rehabilitation Medicine, Center for Rehabilitation, University Medical Center Groningen, University of Groningen, Dilgtweg 5, 9751 ND, Haren, The Netherlands, b.j.van.holland@umcg.nl.
Remko Soer
Michiel R de Boer
Michiel F Reneman
Sandra Brouwer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWorkers' 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.

methodsA 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.

resultsData 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).

conclusionFindings 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.

Indexed as

Occupational HealthWork Capacity EvaluationCross-Sectional StudiesFemaleHealth BehaviorHealth StatusHumansMaleMeat-Packing IndustryMiddle AgedNetherlandsRisk Assessment

Identifiers

PMID25678067
PMCPMC4540765

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.