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Socio-Demographic Correlates Of Bipolar Disorder In Butajira, Rural Ethiopia
Abstract
Objectives: To describe the socio-demographic correlates of bipolar disorder and their interactions. Design: Cross sectional study.
Setting: Rural population in Ethiopia.
Subjects: We conducted a door-to-door survey of a predominantly rural population of close to 70,000 individuals. A total of 315 cases of bipolar disorder were identified by use of the SCAN and clinical assessment.
Results: The lifetime prevalence of biopolar disorder in this population was 0.5% (0.6% for men and 0.4%) for women. Adjusted odds ratios show that males had 80% higher risk of bipolar disoder: OR (95% CI) = 1.81 (1.42, 2.32). Those aged 25-34 years had 45% higher risk than those aged under 25: adjusted OR (95% CI) = 1.45 (1.03, 2.06). Area of residence and educational level were not associated with the disorder. The association of marital status with bipolar disorder was modified by age and sex. Among males the odds of bipolar disorder among the married was 3.6 times higher than those who have never married. Among the age group of 15 to 24 years, those married had a 84% higher risk of disease, while those previously married had a 55% increase. On the other hand the association between marital status and bipolar disorder is reversed in older age groups, with those who have never married having a higher risk compared to those married.
Conclusion. The study shows that the prevalence of bipolar disorder in this population is within ranges of prevalence reported in the literature, although on the lower side. It also shows that age, sex and marital status are associated with bipolar disorder and these variables interacts with each other.
East African Medical Journal Vol.82(1) 2005: 34-39
Setting: Rural population in Ethiopia.
Subjects: We conducted a door-to-door survey of a predominantly rural population of close to 70,000 individuals. A total of 315 cases of bipolar disorder were identified by use of the SCAN and clinical assessment.
Results: The lifetime prevalence of biopolar disorder in this population was 0.5% (0.6% for men and 0.4%) for women. Adjusted odds ratios show that males had 80% higher risk of bipolar disoder: OR (95% CI) = 1.81 (1.42, 2.32). Those aged 25-34 years had 45% higher risk than those aged under 25: adjusted OR (95% CI) = 1.45 (1.03, 2.06). Area of residence and educational level were not associated with the disorder. The association of marital status with bipolar disorder was modified by age and sex. Among males the odds of bipolar disorder among the married was 3.6 times higher than those who have never married. Among the age group of 15 to 24 years, those married had a 84% higher risk of disease, while those previously married had a 55% increase. On the other hand the association between marital status and bipolar disorder is reversed in older age groups, with those who have never married having a higher risk compared to those married.
Conclusion. The study shows that the prevalence of bipolar disorder in this population is within ranges of prevalence reported in the literature, although on the lower side. It also shows that age, sex and marital status are associated with bipolar disorder and these variables interacts with each other.
East African Medical Journal Vol.82(1) 2005: 34-39
