Literature DB >> 16764815

High-demand jobs: age-related diversity in work ability?

Judith K Sluiter1.   

Abstract

High-demand jobs include 'specific' job demands that are not preventable with state of the art ergonomics knowledge and may overburden the bodily capacities, safety or health of workers. An interesting question is whether the age of the worker is an important factor in explanations of diversity in work ability in the context of high-demand jobs. In this paper, the work ability of ageing workers is addressed according to aspects of diversity in specific job demands and the research methods that are needed to shed light upon the relevant associated questions. From the international literature, a body of evidence was elicited concerning rates of chronological ageing in distinct bodily systems and functions. Intra-age-cohort differences in capacities and work ability, however, require (not yet existing) valid estimates of functional age or biological age indices for the specific populations of workers in high-demand jobs. Many studies have drawn on the highly demanding work of fire-fighters, ambulance workers, police officers, medical specialists, pilots/astronauts and submarine officers. Specific job demands in these jobs can be physical, mental or psychosocial in origin but may cause combined task-level loadings. Therefore, the assessment of single demands probably will not reveal enough relevant information about work ability in high-demand jobs and there will be a call for more integrated measures. Existing studies have used a variety of methodologies to address parts of the issue: task analyses for quantifying physical work demands, observations of psychological and physiological parameters, measures of psychosocial work demands and health complaints. Specific details about the work ability of ageing workers in high-demand jobs are scarce. In general, specific demands are more likely to overtax the capacities of older workers than those of younger workers in high-demand jobs, implying greater repercussions for health, although these effects also vary considerably within age cohorts. Functional tests for job-specific work ability should be developed for high-demand jobs in order to monitor individual functional ageing and to facilitate well-timed intervention. It is concluded that a shift from 'no-diversity thinking' to 'diversity thinking' is needed in the context of deciding about the work ability of ageing workers in high-demand jobs.

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Year:  2006        PMID: 16764815     DOI: 10.1016/j.apergo.2006.04.007

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  35 in total

1.  Has your work worked you too hard? Physically demanding work and disability in a sample of the older Irish population.

Authors:  V J C Mc Carthy; I J Perry; B A Greiner
Journal:  Ir J Med Sci       Date:  2012-04-24       Impact factor: 1.568

Review 2.  Ergonomics/Human factors needs of an ageing workforce in the manufacturing sector.

Authors:  Alex W Stedmon; Hannah Howells; John R Wilson; Iman Dianat
Journal:  Health Promot Perspect       Date:  2012-12-28

3.  Mental Vitality @ Work: The effectiveness of a mental module for workers' health surveillance for nurses and allied health professionals, comparing two approaches in a cluster-randomised controlled trial.

Authors:  Sarah M Ketelaar; Karen Nieuwenhuijsen; Fania R Gärtner; Linda Bolier; Odile Smeets; Judith K Sluiter
Journal:  Int Arch Occup Environ Health       Date:  2013-07-28       Impact factor: 3.015

4.  Are musculoskeletal complaints, related work impairment and desirable adjustments in work age-specific?

Authors:  I Zoer; M H W Frings-Dresen; J K Sluiter
Journal:  Int Arch Occup Environ Health       Date:  2013-08-31       Impact factor: 3.015

Review 5.  A systematic review of job-specific workers' health surveillance activities for fire-fighting, ambulance, police and military personnel.

Authors:  M J Plat; M H W Frings-Dresen; J K Sluiter
Journal:  Int Arch Occup Environ Health       Date:  2011-02-12       Impact factor: 3.015

6.  Work Ability Index as tool to identify workers at risk of premature work exit.

Authors:  Corné A M Roelen; Martijn W Heymans; Jos W R Twisk; Jac J L van der Klink; Johan W Groothoff; Willem van Rhenen
Journal:  J Occup Rehabil       Date:  2014-12

7.  Detecting sleep using heart rate and motion data from multisensor consumer-grade wearables, relative to wrist actigraphy and polysomnography.

Authors:  Daniel M Roberts; Margeaux M Schade; Gina M Mathew; Daniel Gartenberg; Orfeu M Buxton
Journal:  Sleep       Date:  2020-07-13       Impact factor: 5.849

8.  Clinimetric quality of the fire fighting simulation test as part of the Dutch fire fighters Workers' Health Surveillance.

Authors:  Marie-Christine J Plat; Monique H W Frings-Dresen; Judith K Sluiter
Journal:  BMC Health Serv Res       Date:  2010-02-04       Impact factor: 2.655

9.  Does age matter in predicting musculoskeletal disorder risk? An analysis of workplace predictors over 4 years.

Authors:  Jodi Oakman; Subas Neupane; Clas-Håkan Nygård
Journal:  Int Arch Occup Environ Health       Date:  2016-07-01       Impact factor: 3.015

10.  Age-related differences in muscular capacity among workers.

Authors:  Heleen H Hamberg-van Reenen; Allard J van der Beek; Birgitte M Blatter; Willem van Mechelen; Paulien M Bongers
Journal:  Int Arch Occup Environ Health       Date:  2009-03-01       Impact factor: 3.015

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