Vocation, mental illness, and the absenteeism decision
Vocation, mental illness, and the absenteeism decision
Objectives: We explore sickness absenteeism variations within the public sector and in particular the role of mental illness. Distinctively, the public sector is segmented into vocational and nonvocational sector, assuming that vocation leads to a different degree of job attachment and alter sickness leave decision. Methods: Using British Household Panel Survey, random-effects logit models are applied to estimate the odds ratio of sickness absence with alternative measures of vocational employment. The association between mental illness and sickness absence is also explored. Results: Absenteeism and the effect of mental illness on absenteeism rates vary within the public sector after controlling for socioeconomic factors. The public vocational sector had the largest sickness absence odds ratios. Conclusion: Differences between absenteeism rates across sectors may be more about the nature of the job and less about the nature of the sector.
Mental illness, Public sector, Random-effects logit, Sickness absence, Vocational sector
1136-1142
Ejebu, Ourega-Zoé
4f545ae3-4823-44ab-8d59-185d30929ada
Skåtun, Diane
5ced1e86-4238-48da-9c9a-9cdce93e3e89
1 January 2018
Ejebu, Ourega-Zoé
4f545ae3-4823-44ab-8d59-185d30929ada
Skåtun, Diane
5ced1e86-4238-48da-9c9a-9cdce93e3e89
Ejebu, Ourega-Zoé and Skåtun, Diane
(2018)
Vocation, mental illness, and the absenteeism decision.
Journal of Occupational and Environmental Medicine, 60 (12), .
(doi:10.1097/JOM.0000000000001454).
Abstract
Objectives: We explore sickness absenteeism variations within the public sector and in particular the role of mental illness. Distinctively, the public sector is segmented into vocational and nonvocational sector, assuming that vocation leads to a different degree of job attachment and alter sickness leave decision. Methods: Using British Household Panel Survey, random-effects logit models are applied to estimate the odds ratio of sickness absence with alternative measures of vocational employment. The association between mental illness and sickness absence is also explored. Results: Absenteeism and the effect of mental illness on absenteeism rates vary within the public sector after controlling for socioeconomic factors. The public vocational sector had the largest sickness absence odds ratios. Conclusion: Differences between absenteeism rates across sectors may be more about the nature of the job and less about the nature of the sector.
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Published date: 1 January 2018
Keywords:
Mental illness, Public sector, Random-effects logit, Sickness absence, Vocational sector
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Local EPrints ID: 445186
URI: http://eprints.soton.ac.uk/id/eprint/445186
ISSN: 1076-2752
PURE UUID: 6e42b60d-00c4-4218-941b-ecc0683b2fce
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Date deposited: 24 Nov 2020 17:34
Last modified: 18 Mar 2024 04:00
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Author:
Diane Skåtun
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