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56. Assessment of Depression in Bangladesh: Comparison between Categorical and Dimensional Model
Depression caused innumerable human suffering and numerable public health costs around the world. Recent findings suggested that more people experienced depressive symptoms in the Lower and Middle-Income Countries (LMIC) than Higher Income Countries (HIC). However, prevalence and pattern related findings from this region have been rare. Moreover, the dimensional model of psychopathology has been proposed a better avenue for clinical research and treatment planning than the categorical model. Likewise, findings compared two models of assessment has been scant from this region. We designed a study to understand which differences of outcome based on the assessment method in Bangladesh. 109 Bangladeshi (Mean age= 22.76, 80 % Male) were interviewed by Structured Clinical Interview for DSM-5 (SCID). 10.09% of participants were diagnosed with current depression, and 22.94% of participants can be diagnosed as lifetime depression. In the second phase of assessment, 226 participants (Mean age=22.65) completed Inventory for Depression and Anxiety Symptoms (IDAS-II). The mean score for general depression score was 58.44. We aim to understand the agreement between depression diagnosis and IDAS scores once we complete the data entry. Findings derived from this study may suggest the suitability of each of the models to detect depression cases in Bangladesh. Caution needs to be practiced to interpret these results due to small sample size.