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Year : 2020  |  Volume : 36  |  Issue : 3  |  Page : 225-229

Gender differences in individuals with suicide attempt from a general hospital setting in Bengaluru, India

1 Department of Psychiatry, St John's Medical College, Bengaluru, Karnataka, India
2 Department of Emergency Medicine, St John's Medical College, Bengaluru, Karnataka, India

Correspondence Address:
Dr. Priya Sreedaran
Department of Psychiatry, St John's Medical College, Sarjapura Road, Koramangala, Bengaluru - 560 034, Karnataka
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/ijsp.ijsp_103_19

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Objective: Gender-related risk factors in individuals with suicide attempts vary according to the region in India. These gender-related factors have implications in determining the nature of psychiatric treatment in such individuals. This study reports on gender differences in individuals with recent suicide attempts evaluated by the Assertive Management of Attempted Suicide (AMAS) service in a general hospital setting in Bengaluru, India. Subjects and Methods: The authors extracted data pertaining to the demographic and illness details from 494 case records from January 2016 to December 2017. Results: Women were more likely to be married and homemakers, whereas men were more likely to be farmers, unemployed, and single. Women were more likely to overdose on the prescription drugs and be diagnosed with depression. Men were more significantly likely to be diagnosed with a psychiatric disorder (P < 0.019, odds ratio: 1.874, confidence interval at 95% interval: 1.109–3.169). Conclusions: There are definite gender-related differences with respect to marital status, occupation, mode of suicide attempt, and psychiatric diagnosis as noted in the AMAS. A focus on psychiatric diagnostic assessment without understanding other associated sociodemographic variables could lead to inadequate mental health treatment in individuals without a psychiatric diagnosis. Mental health interventions in all individuals with a suicide attempt should be formulated taking into account specific gender-related variables.

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