FACULTY OF CLINICAL SCIENCES
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Item Pre-marital predictors of marital violence in the WHO World mental health (WMH) surveys(Springer, 2019) Stokes, C. M.; Alonso, J.; Andrade, L. H.; Atwoli, L.; Cardoso, G.; Chiu, W. T.; Dinolova, R. V.; Gureje, O.; Karam, A. M.; Karam, G.; Kessler, R. C.; Chatterji, S.; King, A.; Lee, S.; Mneimneh, Z.; Oladeji, B. D.; Petukhova, M.; Rapsey, C.; Sampson, N. A.; Scott, K.; Street, A.; Viana, M. C.; Williams, M. A.; Bossarte, R. M.Purpose Intimate partner violence (IPV) is a pervasive public health problem. Existing research has focused on reports from victims and few studies have considered pre-marital factors. The main objective of this study was to identify pre-marital predictors of IPV in the current marriage using information obtained from husbands and wives. Methods Data from were obtained from married heterosexual couples in six countries. Potential predictors included demographic and relationship characteristics, adverse childhood experiences, dating violence, and psychiatric disorders. Reports of IPV and other characteristics from husbands and wives were considered independently and in relation to spousal reports. Results Overall, 14.4% of women were victims of IPV in the current marriage. Analyses identified ten significant variables including age at first marriage (husband), education, relative number of previous marriages (wife), history of one or more categories of childhood adversity (husband or wife), history of dating violence (husband or wife), early initiation of sexual intercourse (husband or wife), and four combinations of internalizing and externalizing disorders. The final model was moderately predictive of marital violence, with the 5% of women accounting for 18.6% of all cases of marital IPV. Conclusions Results from this study advance understanding of pre-marital predictors of IPV within current marriages, including the importance of considering differences in the experiences of partners prior to marriage and may provide a foundation for more targeted primary prevention efforts.Item The comorbidity between depression and diabetes(Springer, 2013) Oladeji, B. D.; Gureje, O."Comorbidity of depression and diabetes is common, and each disorder has a negative impact on the outcome of the other. The direction of causality is not certain as each disorder seems to act as both a risk factor and consequence for the other in longitudinal studies. This bidirectional association is possibly mediated by shared environmental and genetic risk factors. Comorbid depression is associated with reduced adherence to medication and self-care management, poor glycaemic control, increased health care utilization, increased costs and elevated risk of complications, as well as mortality in patients with diabetes. Psychological and pharmacological interventions are shown to be effective in improving depression symptoms; however, collaborative care programs that simultaneously manage both disorders seem to be most effective in improving diabetes-related outcomes."Item The natural history of insomnia in the Ibadan study of ageing(2011) Gureje, O.; Oladeji, B. D.; Abiona, T.; Makanjuola, V.; Makanjuola, V.; Esan, O.Study Objectives: To determine the incidence and risk factors for insomnia among an under-studied population of elderly persons in Sub-Saharan Africa. Setting: Eight contiguous predominantly Yoruba-speaking states in south-west and north-central Nigeria representing about 22% of the national population. Participants: 1307 elderly community-dwelling persons, aged 65 years and older. Measurements: Face-to-face assessment with the Composite International Diagnostic Interview, version 3 (CIDI.3) in 2007 and 12 months later in 2008 to determine the occurrence and risk factors of incident and persistent insomnia, defined as syndrome or symptom. Results: The incidence of insomnia syndrome in 2008 at 12 months was 7.97% (95% CI, 6.60–9.60), while that of insomnia symptom was 25.68% (22.68-28.66). Females were at elevated risk for both syndrome and symptom. Among persons with insomnia symptom or syndrome at the base¬line, 47.36% (95% CI 43.07–51.68) continued to have it one year later. Decreasing economic status was associated with increasing incidence of insomnia. Persons with chronic medical conditions at baseline were at increased risk for new onset of insomnia. Compared to persons with the lowest body mass index (BMI) (< 18.5), those with higher BMI were at elevated risk for persistence of their insomnia, with those in the obese range (≥ 30) having a 4-fold risk. Conclusions: There is a high incidence and chronicity of insomnia in this elderly population. Persons with chronic health conditions are particularly at risk of new onset as well as persistence of insomnia.
