Literature DB >> 19843600

Interrelationships between education, occupational class, income and sickness absence.

Kustaa Piha1, Mikko Laaksonen, Pekka Martikainen, Ossi Rahkonen, Eero Lahelma.   

Abstract

BACKGROUND: Socio-economic position measures, such as education, occupational class and income, are well-known determinants of health. However, previous studies have not paid attention to mutual interrelationships between these socio-economic position measures and medically confirmed sickness absence.
METHODS: The study is a register-based study. The participants were municipal employees of the City of Helsinki aged 25-59 years in 2003. There were 21,599 women and 5841 men participants. Three socio-economic position measures were used, namely three-level education, four-level occupational class and gross individual income quartiles. Main outcome measure was medically confirmed sickness absence spells of 4 days or longer. Inequality indices were calculated using Poisson regression analysis.
RESULTS: High education, occupational class and individual income were all consistently associated with lower sickness absence rates among both women and men. After mutual adjustment, education and occupational class remained independent determinants of sickness absence. The association of individual income with sickness absence was practically explained by temporally preceding education and occupational class.
CONCLUSIONS: Our results indicate that education and occupational class-rather than income-are strong determinants of sickness absence. Education, occupational class and income are complementary socio-economic position measures. To better inform sickness absence policy, future studies should aim to establish whether the observed socio-economic differences reflect broader differences in ill-health, lifestyle and working conditions.

Entities:  

Mesh:

Year:  2009        PMID: 19843600     DOI: 10.1093/eurpub/ckp162

Source DB:  PubMed          Journal:  Eur J Public Health        ISSN: 1101-1262            Impact factor:   3.367


  33 in total

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3.  Work disability benefits due to musculoskeletal disorders among Brazilian private sector workers.

Authors:  E R Vieira; P R Albuquerque-Oliveira; A Barbosa-Branco
Journal:  BMJ Open       Date:  2011-05-14       Impact factor: 2.692

4.  Performance in physical education and health impairment 30 years later--a community based cohort study.

Authors:  Simon Timpka; Ingemar F Petersson; Rebecca Rylance; Ljuba Kedza; Martin Englund
Journal:  PLoS One       Date:  2012-04-23       Impact factor: 3.240

5.  Can work ability explain the social gradient in sickness absence: a study of a general population in Sweden.

Authors:  Jesper Löve; Kristina Holmgren; Kjell Torén; Gunnel Hensing
Journal:  BMC Public Health       Date:  2012-03-07       Impact factor: 3.295

6.  The social gradient in work and health: a cross-sectional study exploring the relationship between working conditions and health inequalities.

Authors:  Oliver Hämmig; Georg F Bauer
Journal:  BMC Public Health       Date:  2013-12-13       Impact factor: 3.295

7.  Interrelationships between education, occupational class and income as determinants of sickness absence among young employees in 2002-2007 and 2008-2013.

Authors:  Hilla Sumanen; Olli Pietiläinen; Jouni Lahti; Eero Lahelma; Ossi Rahkonen
Journal:  BMC Public Health       Date:  2015-04-08       Impact factor: 3.295

8.  Changes in economic difficulties and subsequent sickness absence: a prospective register-linkage study.

Authors:  Tea Lallukka; Eero Lahelma; Ossi Rahkonen
Journal:  BMJ Open       Date:  2013-01-08       Impact factor: 2.692

9.  Explaining the social gradient in sickness absence: a study of a general working population in Sweden.

Authors:  Jesper Löve; Gunnel Hensing; Kristina Holmgren; Kjell Torén
Journal:  BMC Public Health       Date:  2013-06-05       Impact factor: 3.295

10.  Predictors of sickness absence in college and university educated self-employed: a historic register study.

Authors:  Liesbeth E C Wijnvoord; Jac J L Van der Klink; Michiel R De Boer; Sandra Brouwer
Journal:  BMC Public Health       Date:  2014-05-02       Impact factor: 3.295

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