This review provides an outline of the association between major depressive disorder (MDD) and coronary heart disease (CHD). Much is known about the two individual clinical conditions; however, it is not until recently, biological mechanisms have been uncovered that link both MDD and CHD. The activation of stress pathways have been implicated as a neurochemical mechanism that links MDD and CHD. Depression is known to be associated with poorer outcomes of CHD. Psychological factors, such as major depression and stress, are now known as risk factors for developing CHD, which is as important and is independent of classic risk factors, such as hypertension, diabetes mellitus, and cigarette smoking. Both conditions have great socioeconomic importance given that depression and CHD are likely to be two of the three leading causes of global burden of disease. Better understanding of the common causal pathways will help us delineate more appropriate treatments.

Study Objectives: Depression is a commonly diagnosed comorbidity in sleep disorder clinics. However, screening instruments for major depressive episode (MDE) have not been validated in this setting. We aimed to validate the Hospital Anxiety and Depression Scale (HADS) and the Beck Depression Inventory -Fast Screen (BDI-FS) with the Mini International Neuropsychiatric Interview (MINI) in patients with suspected obstructive sleep apnea (OSA). Design: Cross-sectional study. Setting: Academic center. Participants: One hundred one new patients with a clinical suspicion of OSA, as assessed by a sleep physician. Measurements: MDE, generalized anxiety disorder (GAD), and panic disorder (PD) were assessed by (1) a diagnostic interview utilizing the MINI and (2) by two self-report questionnaires: HADS and BDI-FS. A receiver operating characteristic (ROC) analysis was undertaken to assess which HADS and BDI-FS threshold yielded the highest correlation for a diagnosis of MDE and/or GAD/PD as assessed with an interview conducted using the MINI. Results: A HADS-Depression score ≥ 8 gave optimal sensitivity (83.1%) and specifi city (83.3%) with an area under the ROC curve (AUC) 0.851 for predicting the diagnosis of MDE. A HADS-Anxiety score ≥ 11 gave an optimal sensitivity (93.1%) and specifi city (84.7%) with an AUC 0.911 for predicting the diagnosis of GAD/PD. A BDI-FS threshold ≥ 6 gave optimal sensitivity (86.7%) and specifi city (82.9%) with an AUC 0.897 for MDE. Conclusion:The HADS and BDI-FS are accurate screening instruments with high concurrent validity for identifying the probability of a patient having MDE and-in the case of HADS-GAD and PD disorder in a sleep disorders clinic.

BackgroundMaternal mental illness is likely to have a profound impact in less developed parts of the world. A mother experiencing mental illness in a low income setting is at risk of providing sub-optimal care for her offspring which can have grave consequences in an environment where poverty, overcrowding, poor sanitation, malnutrition, tropical diseases and a lack of appropriate medical services may be pronounced. Given the profound consequences of antenatal and postnatal mental illness on maternal mental health, foetal wellbeing and childhood growth and development the factors associated with mental illness in a Sub-Saharan setting merit clarification and investigation.MethodsA prospective survey design was conducted in Lagos. Self reporting questionnaire 20 items - SRQ20 - assessed the presence of mental illness. The WHO Multi-country Study on Women's Health and Domestic Violence Questions assessed women's exposure to violence. Numerous variables potentially associated with mental illness including maternal socio-economic factors, maternal characteristics, obstetric variables and the characteristics of previous children were recorded. Direct logistic regression was performed to assess the impact of a number of variables on the likelihood of presence of mental disorder in the population.Results189 women were surveyed. 7% met the criteria for experiencing a common mental disorder according to their score on the SRQ-20. Of variables examined only the number of female children and the presence of inter personal violence predicted being a case of mental illness (OR = 3.400; 95%CI = 1.374 - 8.414 and OR = 5.676; 95%CI = 1.251 - 25.757 respectively).ConclusionsRates of mental disorder found in our study were lower than those previously observed internationally and in Africa, perhaps reflecting stigma about disclosing symptoms. The predictive nature of violence on mental disorder is in keeping with international evidence. Our study demonstrated that exposure to inter personal violence within the last 12 months and increasing numbers of female children predict the presence of mental illness in a sample of pregnant Nigerian women. Training and education for primary health care and obstetric health workers should highlight these areas.