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What Are the Key Workplace Influences on Pathways of Work Ability? A Six-Year Follow Up

Objective: To study the trajectories of work ability and investigate the impact of multisite pain and working conditions on pathways of work ability over a six-year period. Methods: The longitudinal study was conducted with Finnish food industry workers (n = 866) with data collected every 2 years fr...

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Autores principales: Oakman, Jodi, Neupane, Subas, Prakash, K.C., Nygård, Clas-Håkan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6651683/
https://www.ncbi.nlm.nih.gov/pubmed/31277333
http://dx.doi.org/10.3390/ijerph16132363
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author Oakman, Jodi
Neupane, Subas
Prakash, K.C.
Nygård, Clas-Håkan
author_facet Oakman, Jodi
Neupane, Subas
Prakash, K.C.
Nygård, Clas-Håkan
author_sort Oakman, Jodi
collection PubMed
description Objective: To study the trajectories of work ability and investigate the impact of multisite pain and working conditions on pathways of work ability over a six-year period. Methods: The longitudinal study was conducted with Finnish food industry workers (n = 866) with data collected every 2 years from 2003–2009. Questions covered musculoskeletal pain, physical and psychosocial working conditions (physical strain, repetitive movements, awkward postures; mental strain, team support, leadership, possibility to influence) and work ability. Latent class growth analysis and logistic regression were used to analyse the impact of multisite pain and working conditions on work ability trajectories (pathways). Results: Three trajectories of work ability emerged: decreasing (5%), increasing (5%), and good (90%). In the former two trajectories, the mean score of work ability changed from good to poor and poor to good during follow-up, while in the latter, individuals maintained good work ability during the follow-up. In the multivariable adjusted model, number of pain sites was significantly associated with higher odds of belonging to the trajectory of poor work ability (Odds ratio (OR) 4 pain sites 2.96, 1.25–7.03). Conclusions: A substantial number of employees maintained good work ability across the follow up. However, for employees with poor work ability, multisite musculoskeletal pain has an important influence, with effective prevention strategies required to reduce its prevalence.
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spelling pubmed-66516832019-08-08 What Are the Key Workplace Influences on Pathways of Work Ability? A Six-Year Follow Up Oakman, Jodi Neupane, Subas Prakash, K.C. Nygård, Clas-Håkan Int J Environ Res Public Health Article Objective: To study the trajectories of work ability and investigate the impact of multisite pain and working conditions on pathways of work ability over a six-year period. Methods: The longitudinal study was conducted with Finnish food industry workers (n = 866) with data collected every 2 years from 2003–2009. Questions covered musculoskeletal pain, physical and psychosocial working conditions (physical strain, repetitive movements, awkward postures; mental strain, team support, leadership, possibility to influence) and work ability. Latent class growth analysis and logistic regression were used to analyse the impact of multisite pain and working conditions on work ability trajectories (pathways). Results: Three trajectories of work ability emerged: decreasing (5%), increasing (5%), and good (90%). In the former two trajectories, the mean score of work ability changed from good to poor and poor to good during follow-up, while in the latter, individuals maintained good work ability during the follow-up. In the multivariable adjusted model, number of pain sites was significantly associated with higher odds of belonging to the trajectory of poor work ability (Odds ratio (OR) 4 pain sites 2.96, 1.25–7.03). Conclusions: A substantial number of employees maintained good work ability across the follow up. However, for employees with poor work ability, multisite musculoskeletal pain has an important influence, with effective prevention strategies required to reduce its prevalence. MDPI 2019-07-03 2019-07 /pmc/articles/PMC6651683/ /pubmed/31277333 http://dx.doi.org/10.3390/ijerph16132363 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Oakman, Jodi
Neupane, Subas
Prakash, K.C.
Nygård, Clas-Håkan
What Are the Key Workplace Influences on Pathways of Work Ability? A Six-Year Follow Up
title What Are the Key Workplace Influences on Pathways of Work Ability? A Six-Year Follow Up
title_full What Are the Key Workplace Influences on Pathways of Work Ability? A Six-Year Follow Up
title_fullStr What Are the Key Workplace Influences on Pathways of Work Ability? A Six-Year Follow Up
title_full_unstemmed What Are the Key Workplace Influences on Pathways of Work Ability? A Six-Year Follow Up
title_short What Are the Key Workplace Influences on Pathways of Work Ability? A Six-Year Follow Up
title_sort what are the key workplace influences on pathways of work ability? a six-year follow up
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6651683/
https://www.ncbi.nlm.nih.gov/pubmed/31277333
http://dx.doi.org/10.3390/ijerph16132363
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