ABSTRACT
Background: With the rising incidence of Maternal deaths due to suicide as evident from reports of Kerala state confidential review of maternal deaths, there is a felt need for screening for depression in study antenatal population. Though there have been various screening tools used, a simplified tool validated in study population was not used in study antenatal women till now. The objective of this study was to estimate the prevalence of depression among antenatal women admitted in the department of obstetrics and gynecology, Government Medical College, Thrissur and also to study the risk factors associated with depression in the study population.Methods: A questionnaire based cross sectional observational study was conducted among 100 antenatal women in their third trimester. PHQ-9 questionnaire was used to screen for depression and the information regarding risk factors was collected from the patient, her caregivers and from clinical records. Data analysis was done using EPI-INFO/SPSS software.Results: Prevalence of depression among hospitalized mothers: 53%. Most cases (70%) had: mild depression (PHQ Score: 5-9). Only very few (2%) of them had severe depression (PHQ score: more than 20). 9% had: moderately severe depression (PHQ score: 15-19). 19% had: moderate depression (PHQ score: 10-14). Statistically significant risk factors identified in this study were fetal gender preference, anxiety about labour process, anxiety about labour pain, anxiety about making the baby a part of their life and anxiety about baby’s health.Conclusions: The prevalence of depression among hospitalized mothers using PHQ-9 scale is high (53%). Screening for depression was found to be feasible and can be made a part of routine antenatal care so that appropriate interventions can be provided to improve maternal mental health and thereby prevent the maternal mortality occurring due to suicides.
ABSTRACT
Background: Depression is one of the most common neuropsychiatric condition in patients with stroke. Early identification of depression for stroke patients can improve the outcome leading to better quality of life. Prevalence and determinants of post stroke depression are highly variable and there is paucity of data in Indian literature.Methods: This cross-sectional study was conducted at neurology department of Saveetha Medical College, Chennai. All patients with history of stroke within past one month attending neurology department who fulfilled the inclusion criteria were taken up for the study after getting consent. Neurological examination and CT brain findings were noted with the site of lesion. All patients were evaluated for depression using ICD 10 criteria. MADRS score was used to assess the severity of depression. Chi square was used for statistical analysis.Results: The mean age of subjects in the study was 56.54±10.82 years. The prevalence of depression among patients with stroke in our study was 75.8%. Among classifying those with depression based on severity using MADRS score, 35% had mild depression and 65% had moderate depression. There was no severe depression in our sample. There was no statistically significant difference between prevalence of depression based on side of lesion.Conclusions: In this study the prevalence of depression among patients with cerebrovascular accident was found to be 75.8%. From this study we learn that the prevalence of depression in patients with stroke is high and this shows that regular screening of patients with stroke for depression might help in earlier detection and management of depression.
ABSTRACT
Depressive disorder is a common mental illness and remains a major cause of morbidity worldwide. The present study, a cross-sectional, nationwide, population-based survey assessed the prevalence of depression in the general population of Korea through a random sampling of the non-institutionalized population for the Korea National Health and Nutrition Examination Survey (KNHANES) VI. The Patient Health Questionnaire (PHQ)-9 was first introduced into the KNHANES to detect depression. The point prevalence of depression (PHQ score of 10 or higher) was 6.7% (95% confidence interval [CI], 5.7–7.6) in 4,949 subjects. Based on the analysis using the diagnostic algorithm of the PHQ-9, the prevalence of major depressive disorder was 2.7% (95% CI, 2.2–3.3). Multiple logistic regression analysis, after adjusting the sociodemographic variables, also showed that the factors associated with depression were perceived stress and health status. This study reported for the first time that the point prevalence of depression screened using the PHQ-9 in this nationwide survey of the Korean population was similar to that of the western countries. As the KNHANES to detect depression is conducted biennially, further studies on the accumulated data are expected in the future.