Year: 2009 Source: European Journal of Public Health, v.20, no.3, (June 2009), p.265-270 SIEC No: 20110072

Using Danish population registration data including 15,648 suicides & matched population controls, the authors investigated the association of multiple socioeconomic factors with suicide risk & explored the gender-specific aspects of these associations. Conditional logistic regressional models were used. Socioeconomic status, proxied by low income, unskilled blue-collar work, non-specific wage work, & unemployment increased suicide risk more prominently for men than for women. Results demonstrated that suicide risk is associated with a range of socioeconomic proxies but the strength &/or direction of the association can differ by gender. Risk assessment & prevention approaches should take this into consideration. (45 refs.) JA

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