BACKGROUND: Common mental disorders do not always show as consistent socioeconomic gradients as severe mental disorders and physical health. This inconsistency may be due to the multitude of socioeconomic measures used and the populations and national contexts studied. We examine the associations between various socioeconomic circumstances and common mental disorders among middle-aged Finnish and British public sector employees. METHODS: We used survey data from the Finnish Helsinki Health Study (n = 6028) and the British Whitehall II Study (n = 3116). Common mental disorders were measured by GHQ-12. The socioeconomic indicators were parental education, childhood economic difficulties, own education, occupational class, household income, housing tenure and current economic difficulties. Logistic regression analysis was the main statistical method used. RESULTS: Childhood and current economic difficulties were strongly associated with common mental disorders among men and women in both the Helsinki and the London cohort. The more conventional indicators of socioeconomic circumstances showed weak or inconsistent associations. Differences between the two cohorts and two genders were small. CONCLUSIONS: Our findings emphasize the importance of past and present economic circumstances to common mental disorders across different countries and genders. Overall, our results suggest that among employee populations, the socioeconomic patterning of common mental disorders may differ from that of other domains of health.
BACKGROUND: Common mental disorders do not always show as consistent socioeconomic gradients as severe mental disorders and physical health. This inconsistency may be due to the multitude of socioeconomic measures used and the populations and national contexts studied. We examine the associations between various socioeconomic circumstances and common mental disorders among middle-aged Finnish and British public sector employees. METHODS: We used survey data from the Finnish Helsinki Health Study (n = 6028) and the British Whitehall II Study (n = 3116). Common mental disorders were measured by GHQ-12. The socioeconomic indicators were parental education, childhood economic difficulties, own education, occupational class, household income, housing tenure and current economic difficulties. Logistic regression analysis was the main statistical method used. RESULTS: Childhood and current economic difficulties were strongly associated with common mental disorders among men and women in both the Helsinki and the London cohort. The more conventional indicators of socioeconomic circumstances showed weak or inconsistent associations. Differences between the two cohorts and two genders were small. CONCLUSIONS: Our findings emphasize the importance of past and present economic circumstances to common mental disorders across different countries and genders. Overall, our results suggest that among employee populations, the socioeconomic patterning of common mental disorders may differ from that of other domains of health.
Authors: Elina Laaksonen; Tea Lallukka; Eero Lahelma; Jane E Ferrie; Ossi Rahkonen; Jenny Head; Michael G Marmot; Pekka Martikainen Journal: Eur J Public Health Date: 2010-07-08 Impact factor: 3.367
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Authors: T Lallukka; J E Ferrie; M Kivimäki; M J Shipley; M Sekine; T Tatsuse; O Pietiläinen; O Rahkonen; M G Marmot; E Lahelma Journal: Int J Behav Med Date: 2014-04
Authors: E Laaksonen; P Martikainen; T Lallukka; E Lahelma; J Ferrie; O Rahkonen; M Marmot; J Head Journal: J Epidemiol Community Health Date: 2009-02-15 Impact factor: 3.710