Literature DB >> 19854752

Job insecurity and the use of antidepressant medication among Danish employees with and without a history of prolonged unemployment: a 3.5-year follow-up study.

R Rugulies1, K Thielen, E Nygaard, F Diderichsen.   

Abstract

BACKGROUND: A study was undertaken to investigate whether job insecurity predicts incident use of antidepressant medication and whether the association is modified by a history of prolonged unemployment.
METHODS: A prospective follow-up study was performed in 5142 Danish employees, including 632 employees with and 4510 without a history of prolonged unemployment. Participants were drawn from a random 10% sample of the Danish population. Survey data on job insecurity were linked with register data on history of unemployment and dispensing of antidepressant medication between June 2000 and December 2003 retrieved from the Danish Medicinal Product Statistics. Respondents with major depression at baseline or antidepressant use in the 5 years preceding baseline were excluded.
RESULTS: Job insecurity predicted use of antidepressants after adjustment for sex, age, cohabitation, socioeconomic position and alcohol consumption (OR 1.43, 95% CI 1.09 to 1.88). The effect was attenuated after further adjustment for baseline depressive symptoms (OR 1.15, 95% CI 0.87 to 1.52). A history of prolonged unemployment predicted use of antidepressants in both models (OR 1.62, 95% CI 1.14 to 2.30 and OR 1.49, 95% CI 1.04 to 2.13, respectively) Compared with participants with neither job insecurity nor unemployment history, the OR for the joint effect of job insecurity and history of prolonged unemployment was substantially higher (OR 1.79, 95% CI 1.15 to 2.79) than the OR for job insecurity (OR 1.02) and unemployment history (OR 1.10) alone in the fully adjusted model.
CONCLUSION: Job insecurity predicts incident use of antidepressants among Danish employees with a history of prolonged unemployment.

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Year:  2010        PMID: 19854752     DOI: 10.1136/jech.2008.078493

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


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