Ghana Medical Journal

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Symptoms of common mental disorders and their correlates Among women in Accra, Ghana: A population based survey

V de Menil, A Osei, N Douptcheva, AG Hill, P Yaro, A De-Graft Aikins


Introduction: To comply with its new mental health bill, Ghana needs to integrate mental health within other health and social services. Mental disorders represent 9% of disease burden in Ghana. Women are more
affected by common mental disorders, and are underrepresented
in treatment settings. This study examines physical and social correlates of mental illness in adult women in Accra, Ghana, so as to inform general clinical practice and health policy.
Methods: The SF-36 and K6 forms and 4 psychosis questions were administered in three languages to 2,814 adult women living in Accra, as part of a larger cross-sectional population-based survey of women’s
health. The validity of these tools was assessed through correlations within and between measures. Risk factors for mental distress were analysed using multivariate regression. Health service use was also described using
statistical frequencies.
Results: Both the SF36 and K6 appear valid in a female Ghanaian population. Low levels of education, poverty and unemployment are negatively associated with mental health. Physical ill health is also associated with mental distress. No association was found between
mental distress and religion or ethnicity. Some additional risk factors were significant for one, but not both of the outcome variables. Only 0.4% of women reported seeing a mental health professional in the previous
year, whereas 58.6% had visited a health centre.
Conclusion: The implications for women are that marriage is neither good nor bad for mental health, but education and employment are strong protective factors. Researchers should note that the SF36 and K6 can
be used in a Ghanaian population, however more research is needed to determine the cut-off point for serious mental illness on the K6, as well as research into mental disorders in a mixed-gender population.

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