A study of the relationship between insight and depression in Schizophrenia

Journal Title: Telangana Journal of Psychiatry - Year 2016, Vol 2, Issue 2

Abstract

Introduction: One of the important factors that determine the quality of life of patients with schizophrenia is depression. To determine the relationship between insight and depression in such patients is noteworthy for determining final outcomes. Aims and Objectives: This study was conducted with the objective of studying the relationship between degree of insight and development of depression in patients suffering from schizophrenia. Methodology: It is an observational cross sectional study conducted on 200 patients diagnosed with Schizophrenia according to DSM-IV-TR. Insight was measured using Schedule for Assessment of Insight – Extended version (SAI-E). Depression was estimated using Hamilton Depression Rating Scale. Mann Whitney Test and Pearson’s correlation coefficient were sought between Insight and depression in the entire sample studied as well as in the various demographic groups. Results and Discussion: 200 patients (122 males and 78 females) were examined. A significant positive correlation was found between insight (SAI-E score) and depression (HAM-D score) with a Pearson’s correlation coefficient of 0.342. According to the Mann-Whitney Test, those who were diagnosed with depression using the HAM-D had significantly higher SAI-E scores, indicating better insight. Conclusion: These findings are noteworthy as with improving insight, there is increased treatment adherence as well as a higher risk of depression. Thus, clinicians should be vigilant about this in their clinical practice.

Authors and Affiliations

Rakesh Gandhi, Mahesh Suthar, Mandeep Singh, Sutanaya Paul

Keywords

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  • EP ID EP243167
  • DOI -
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How To Cite

Rakesh Gandhi, Mahesh Suthar, Mandeep Singh, Sutanaya Paul (2016). A study of the relationship between insight and depression in Schizophrenia. Telangana Journal of Psychiatry, 2(2), 94-98. https://europub.co.uk/articles/-A-243167