OBJECTIVE: The aim of this study was to determine the validity of assigning suicidal individuals into differing typologies of suicidality based on their reported wish to live and wish to die. METHODS: One hundred five inpatients who reported suicidal ideation in the previous 48 hours completed a battery of assessments during inpatient psychiatric hospitalization. An algorithm was used to assign participants into 1 of 3 typologies of suicide: wish to live, ambivalent, or wish to die. Discriminant function analysis and group classification were used to predict group membership, followed by multiple analysis of variance and follow-up contrasts to measure between-group differences. MAIN RESULTS: Group classification resulted in 76% accuracy for predicting typology of suicidality based on scores from suicide-specific measures. Self-perceived risk of suicide and hopelessness were the strongest variables at differentiating between the 3 groups. Patients in the wish to die typology were less likely to report having never made a suicide attempt. CONCLUSIONS: Creating typologies of suicidality may prove useful to clinicians seeking to better differentiate among suicidal patients within a limited period of assessment.
OBJECTIVE: The aim of this study was to determine the validity of assigning suicidal individuals into differing typologies of suicidality based on their reported wish to live and wish to die. METHODS: One hundred five inpatients who reported suicidal ideation in the previous 48 hours completed a battery of assessments during inpatient psychiatric hospitalization. An algorithm was used to assign participants into 1 of 3 typologies of suicide: wish to live, ambivalent, or wish to die. Discriminant function analysis and group classification were used to predict group membership, followed by multiple analysis of variance and follow-up contrasts to measure between-group differences. MAIN RESULTS: Group classification resulted in 76% accuracy for predicting typology of suicidality based on scores from suicide-specific measures. Self-perceived risk of suicide and hopelessness were the strongest variables at differentiating between the 3 groups. Patients in the wish to die typology were less likely to report having never made a suicide attempt. CONCLUSIONS: Creating typologies of suicidality may prove useful to clinicians seeking to better differentiate among suicidal patients within a limited period of assessment.
Authors: Aliona Tsypes; Aleksandra Kaurin; Aidan G C Wright; Michael N Hallquist; Alexandre Y Dombrovski Journal: J Psychiatr Res Date: 2022-01-29 Impact factor: 4.791
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Authors: Keith M Harris; Jia-Jia Syu; Owen D Lello; Y L Eileen Chew; Christopher H Willcox; Roger H M Ho Journal: PLoS One Date: 2015-06-01 Impact factor: 3.240
Authors: Lily A Brown; Craig J Bryan; Jonathan E Butner; Jeffrey V Tabares; Stacey Young-McCaughan; Willie J Hale; Brooke A Fina; Edna B Foa; Patricia A Resick; Daniel J Taylor; Hillary Coon; Douglas E Williamson; Katherine A Dondanville; Elisa V Borah; Carmen P McLean; Jennifer Schuster Wachen; Kristi E Pruiksma; Ann Marie Hernandez; Brett T Litz; Jim Mintz; Jeffrey S Yarvis; Adam M Borah; Karin L Nicholson; Douglas M Maurer; Kevin M Kelly; Alan L Peterson Journal: Contemp Clin Trials Commun Date: 2021-02-16
Authors: Kaitlyn R Schuler; Margaret M Baer; Ryon C McDermott; Phillip N Smith Journal: Int J Environ Res Public Health Date: 2022-08-15 Impact factor: 4.614