Retrospectively assessed psychosocial working conditions as predictors of prospectively assessed sickness absence and disability pension among older workers

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

Background

The aim was to explore the association between retrospectively assessed psychosocial working conditions during working life and prospectively assessed risk of sickness absence and disability pension among older workers.

Methods

The prospective risk of register-based long-term sickness absence (LTSA) and disability pension was estimated from exposure to 12 different psychosocial work characteristics during working life among 5076 older workers from the CAMB cohort (Copenhagen Aging and Midlife Biobank). Analyses were censored for competing events and adjusted for age, gender, physical work environment, lifestyle, education, and prior LTSA.

Results

LTSA was predicted by high levels of cognitive demands (HR 1.31 (95% CI 1.10–1.56)), high levels of emotional demands (HR 1.26 (95% CI 1.07–1.48)), low levels of influence at work (HR 1.30 (95% CI 1.03–1.64)), and high levels of role conflicts (HR 1.34 (95% CI 1.09–1.65)). Disability pension was predicted by low levels of influence at work (HR 2.73 (95% CI 1.49–5.00)) and low levels of recognition from management (HR 2.04 (95% CI 1.14–3.67)).

Conclusions

This exploratory study found that retrospectively assessed high cognitive demands, high and medium emotional demands, low influence at work, low recognition from management, medium role clarity, and high role conflicts predicted LTSA and/or disability pension.

Related collections

Most cited references 34

Record: found
Abstract: found
Article: not found

Reducing work related psychological ill health and sickness absence: a systematic literature review.

S Michie, S. Williams (2003)

A literature review revealed the following: key work factors associated with psychological ill health and sickness absence in staff were long hours worked, work overload and pressure, and the effects of these on personal lives; lack of control over work; lack of participation in decision making; poor social support; and unclear management and work role. There was some evidence that sickness absence was associated with poor management style. Successful interventions that improved psychological health and levels of sickness absence used training and organisational approaches to increase participation in decision making and problem solving, increase support and feedback, and improve communication. It is concluded that many of the work related variables associated with high levels of psychological ill health are potentially amenable to change. This is shown in intervention studies that have successfully improved psychological health and reduced sickness absence.

0 comments Cited 107 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

A meta-analysis of observational studies identifies predictors of sickness absence.

A J Willem Van der Does, Maurice Zeegers, IJmert Kant … (2007)

About one in every three employees seen by their occupational physician is absent from work because of psychosocial health complaints. To implement preventive measures, it is necessary to identify predictors for this type of sickness absence. A meta-analysis was carried out to quantify the association between predictive factors and psychosocial sickness absence and to assess clinical outcomes and heterogeneity. Eligible for inclusion were prospective studies that examined this association and provided sufficient information to estimate summary odds ratios (SORs). Twenty prospective studies were included. Significant SORs for sick leave >3 days were found for being unmarried, 1.37 (95% confidence interval [CI]=1.15-1.64), experiencing psychosomatic complaints, 1.79 (95% CI=1.54-2.07), using medication, 3.13 (95% CI=1.71-5.72), having a burnout, 2.34 (95% CI=1.59-3.45), suffering from psychological problems, 1.97 (95% CI=1.37-2.85), having low job control, 1.28 (95% CI=1.23-1.33), having low decision latitude, 1.33 (95% CI=1.16-1.56), and experiencing no fairness at work, 1.30 (95% CI=1.18-1.45). This study shows that predictors of sickness absence can be identified in a homogeneous manner. The results provide leads to public health interventions to successfully improve psychosocial health and to reduce sickness absence.

0 comments Cited 93 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

Using administrative sickness absence data as a marker of future disability pension: the prospective DREAM study of Danish private sector employees.

Merete Labriola, Karl Christensen, E Villadsen … (2008)

The aim of this study was to examine duration of sickness absence as a risk marker for future disability pension among all private sector employees in Denmark 1998-2004. All private sector employees receiving sickness absence compensation from the municipality in 1998, a total of 225 056 persons (39.2% women 61.8% men, age range 18-65, mean age 37.2), were followed in a national register to determine granted disability pension during the period 1 January 2001 through 31 December 2004. The authors excluded pensions in 1999 and 2000 to determine the status of sickness absence duration as an early risk marker. 5694 persons (2.5%) received disability pension during follow-up, more men (53.4%) than women (46.6%). There was a strong graded association between increasing length of absence and increasing risk of future disability pension. Significant differences were found between the younger and older age strata: men below 40 experiencing more than 26 weeks of sickness absence had a 16-fold risk of disability pension. The corresponding figure for men 40 years or older was approximately 7. For women, the corresponding figures were 12.6 and 6.7 respectively. The findings suggest that administratively collected data on sickness absence compensation are an important predictor of disability pension among private sector employees. The use of information on sick leave may improve the effectiveness of early interventions by policy makers, case managing authorities, employers and physicians.

0 comments Cited 68 times – based on 0 reviews      Review now

Bookmark

All references

Author and article information

Contributors

Emil Sundstrup:

ORCID: http://orcid.org/0000-0001-7408-222X

esu@nrcwe.dk

Åse Marie Hansen: asemarie.hansen@sund.ku.dk

Erik Lykke Mortensen: elme@sund.ku.dk

Otto Melchior Poulsen: omp@nrcwe.dk

Thomas Clausen: tcl@nrcwe.dk

Reiner Rugulies: rer@nrcwe.dk

Anne Møller: annemoller1972@gmail.com

Lars L. Andersen: lla@nrcwe.dk

Journal

Journal ID (nlm-ta): BMC Public Health

Journal ID (iso-abbrev): BMC Public Health

Title: BMC Public Health

Publisher: BioMed Central (London )

ISSN (Electronic): 1471-2458

Publication date (Electronic): 17 January 2018

Publication date PMC-release: 17 January 2018

Publication date Collection: 2018

Volume: 18

Electronic Location Identifier: 149

Affiliations

[1 ]ISNI 0000 0000 9531 3915, GRID grid.418079.3, National Research Centre for the Working Environment, ; Lersø Parkallé 105, 2100 Copenhagen, Denmark

[2 ]ISNI 0000 0001 0674 042X, GRID grid.5254.6, Department of Public Health, , University of Copenhagen, ; Copenhagen, Denmark

[3 ]ISNI 0000 0001 0674 042X, GRID grid.5254.6, Center for Healthy Aging, , University of Copenhagen, ; Copenhagen, Denmark

[4 ]ISNI 0000 0001 0674 042X, GRID grid.5254.6, Department of Psychology, , University of Copenhagen, ; Copenhagen, Denmark

[5 ]ISNI 0000 0004 0646 7373, GRID grid.4973.9, Department of Occupational Medicine, , Copenhagen University Hospital Holbæk, ; Copenhagen, Denmark

[6 ]ISNI 0000 0001 0674 042X, GRID grid.5254.6, The Research Unit for General Practice and Section of General Practice, Department of Public Health, , University of Copenhagen, ; Copenhagen, Denmark

[7 ]ISNI 0000 0001 0742 471X, GRID grid.5117.2, Department of Health Science and Technology, Physical Activity and Human Performance group, , SMI, Aalborg University, ; Aalborg, Denmark

Author information

Emil Sundstrup http://orcid.org/0000-0001-7408-222X

Article

Publisher ID: 5047

DOI: 10.1186/s12889-018-5047-z

PMC ID: 5773165

PubMed ID: 29343243

SO-VID: 49f10af4-5edd-44cf-ab1f-37aa1669e4bf

License:

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

History

Date received : 20 January 2017

Date accepted : 9 January 2018

Funding

Funded by: Danish Working Environment Research Fund

Award ID: 20130068772/3

Award Recipient : Lars L. Andersen

Custom metadata

ScienceOpen disciplines: Public health

Keywords: disability pension,early retirement,sickness absence,influence at work,appreciation,social support,psychosocial demands,psychosocial work characteristics

Data availability:

ScienceOpen disciplines: Public health

Keywords: disability pension, early retirement, sickness absence, influence at work, appreciation, social support, psychosocial demands, psychosocial work characteristics

Retrospectively assessed psychosocial working conditions as predictors of prospectively assessed sickness absence and disability pension among older workers

Read this article at

Abstract

Background

Methods

Results

Conclusions

Related collections

Chinese Journal of School Health

Most cited references 34

Reducing work related psychological ill health and sickness absence: a systematic literature review.

A meta-analysis of observational studies identifies predictors of sickness absence.

Using administrative sickness absence data as a marker of future disability pension: the prospective DREAM study of Danish private sector employees.

Author and article information

Contributors

Journal

Affiliations

Author information

Article

History

Funding

Categories

Custom metadata

Comments

Comment on this article

Similar content 78

Cited by 18

Most referenced authors 676