OBJECTIVE: To identify variables which differentiate future repeaters of parasuicide from non-repeaters in a multivariate analysis. METHOD: Interviews were conducted with 507 parasuicide cases; data were collected on precipitating factors for the index parasuicide, psychiatric and medical history, stressful life events, prior history of parasuicide, hopelessness, anger, self-esteem and social adjustment. Individuals were followed for 1-2 years to determine if a repeat parasuicide occurred. RESULTS: A logistic regression model identified four significant predictors of repeat parasuicide: prior history of parasuicide, a history of depression, a history of schizophrenia and poor physical health. A risk factor scale constructed from these four variables showed that the risk of repeat parasuicide increases as the number of risk factors increases. CONCLUSION: This study identifies four key predictors of repeat parasuicide, and provides evidence that the risk of repeat parasuicide increases when multiple risk factors are present.
OBJECTIVE: To identify variables which differentiate future repeaters of parasuicide from non-repeaters in a multivariate analysis. METHOD: Interviews were conducted with 507 parasuicide cases; data were collected on precipitating factors for the index parasuicide, psychiatric and medical history, stressful life events, prior history of parasuicide, hopelessness, anger, self-esteem and social adjustment. Individuals were followed for 1-2 years to determine if a repeat parasuicide occurred. RESULTS: A logistic regression model identified four significant predictors of repeat parasuicide: prior history of parasuicide, a history of depression, a history of schizophrenia and poor physical health. A risk factor scale constructed from these four variables showed that the risk of repeat parasuicide increases as the number of risk factors increases. CONCLUSION: This study identifies four key predictors of repeat parasuicide, and provides evidence that the risk of repeat parasuicide increases when multiple risk factors are present.
Authors: Shirley Yen; M Tracie Shea; Zach Walsh; Maria O Edelen; Christopher J Hopwood; John C Markowitz; Emily B Ansell; Leslie C Morey; Carlos M Grilo; Charles A Sanislow; Andrew E Skodol; John G Gunderson; Mary C Zanarini; Thomas H McGlashan Journal: J Clin Psychiatry Date: 2011-01-25 Impact factor: 4.384
Authors: Rhiannon Phillips; Melissa R Spears; Alan A Montgomery; Abigail Millings; Kapil Sayal; Paul Stallard Journal: BMC Public Health Date: 2013-06-22 Impact factor: 3.295
Authors: Narendra Kumar; Rajagopal Rajendra; Sumanth Mallikarjuna Majgi; Murali Krishna; Paul Keenan; Steve Jones Journal: Indian J Psychol Med Date: 2016 Nov-Dec
Authors: Jonathan D Hafferty; L B Navrady; M J Adams; D M Howard; A I Campbell; H C Whalley; S M Lawrie; K K Nicodemus; D J Porteous; I J Deary; A M McIntosh Journal: Soc Psychiatry Psychiatr Epidemiol Date: 2019-05-23 Impact factor: 4.519