Literature DB >> 27017087

Increasing illness among people out of labor market - A Danish register-based study.

Ingelise Andersen1, Henrik Brønnum-Hansen2, Margit Kriegbaum3, Charlotte Ørsted Hougaard2, Finn Kenneth Hansen4, Finn Diderichsen2.   

Abstract

In spite of decades of very active labor market policies, 25% of Denmark's population in the working ages are still out-of-work. The aim of this study was to investigate whether that is due to consistent or even increasing prevalence of ill health. For the period of 2002-2011, we investigated if i) the prevalence of four chronic diseases (cardiovascular disease, diabetes, cancer and mental disorders) among those out-of-work had changed, ii) the occurrence of new cases of those diseases were higher among those who were already out-of-work, or iii) if non-health-related benefits were disproportionately given to individuals recently diagnosed with a disease compared to those without disease. The study was register-based and comprised all Danish residents aged 20-60. During the study period, the prevalence of cardiovascular diseases and mental disorders increased among both employed and non-employed people. The increased prevalence for mental disorder was particularly high among people receiving means-tested benefits. Disease incidence was higher among people outside rather than inside the labor market, especially for mental disorders. Employed people with incident diseases had an unsurprisingly increased risk of leaving the labor market. However, a high proportion of people with incident mental disorders received low level means-tested benefits in the three years following this diagnosis, which is concerning. Men treated for mental disorders in 2006 had high excess probability of receiving a cash-benefit, OR = 4.83 (4.53-5.14) for the period 2007-2010. The estimates were similar for women.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cancer; Cardiovascular diseases; Diabetes mellitus; Labor market; Mental disorders; Register research; Social benefits

Mesh:

Year:  2016        PMID: 27017087     DOI: 10.1016/j.socscimed.2016.03.003

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  5 in total

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  5 in total

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