Ashley B Cole1, Andrew K Littlefield2, Jami M Gauthier3, Courtney L Bagge4. 1. Department of Psychology, Oklahoma State University, Stillwater, OK, USA; Department of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, MS, USA. Electronic address: abcole@okstate.edu. 2. Department of Psychological Sciences, Texas Tech University, Lubbock, TX, USA. 3. Substance Abuse Treatment Program, Atlanta Veterans Affairs Healthcare System, Atlanta, GA, USA; Department of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, MS, USA. 4. Department of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, MS, USA.
Abstract
BACKGROUND: Given the substantial heterogeneity of both impulsivity and suicidality, increased specificity in studying relations between these variables is needed. One aspect of suicidality that may be especially important for predicting future risk among those with a recent suicide attempt is self-perceived likelihood of making a future attempt (suicide likelihood). Presently, little is known about the extent to which impulsivity is related to this important aspect of suicidality. We examined whether three distinct impulsivity facets (i.e., deficits in conscientiousness, negative urgency, and sensation seeking) would differentially predict suicide likelihood. METHODS: Participants included 155 psychiatric inpatients who presented to a Level-1 trauma hospital after a recent suicide attempt. Structural Equation Modeling (SEM), in which demographic and clinical covariates were controlled, was conducted to examine whether each impulsivity facet would uniquely predict suicide likelihood. RESULTS: Deficits in conscientiousness was the only robust predictor of suicide likelihood, with an association that persisted after accounting for demographic and clinical covariates. LIMITATIONS: The cross-sectional design and unknown predictive validity of suicide likelihood are study limitations. CONCLUSION: This was a preliminary investigation of impulsivity facets with suicide likelihood. Clinical implications of this study suggest that deficits in conscientiousness and suicide likelihood may be important factors to consider when identifying and intervening with patients at high-risk for suicide.
BACKGROUND: Given the substantial heterogeneity of both impulsivity and suicidality, increased specificity in studying relations between these variables is needed. One aspect of suicidality that may be especially important for predicting future risk among those with a recent suicide attempt is self-perceived likelihood of making a future attempt (suicide likelihood). Presently, little is known about the extent to which impulsivity is related to this important aspect of suicidality. We examined whether three distinct impulsivity facets (i.e., deficits in conscientiousness, negative urgency, and sensation seeking) would differentially predict suicide likelihood. METHODS:Participants included 155 psychiatric inpatients who presented to a Level-1 trauma hospital after a recent suicide attempt. Structural Equation Modeling (SEM), in which demographic and clinical covariates were controlled, was conducted to examine whether each impulsivity facet would uniquely predict suicide likelihood. RESULTS: Deficits in conscientiousness was the only robust predictor of suicide likelihood, with an association that persisted after accounting for demographic and clinical covariates. LIMITATIONS: The cross-sectional design and unknown predictive validity of suicide likelihood are study limitations. CONCLUSION: This was a preliminary investigation of impulsivity facets with suicide likelihood. Clinical implications of this study suggest that deficits in conscientiousness and suicide likelihood may be important factors to consider when identifying and intervening with patients at high-risk for suicide.
Authors: Daun Shin; Kyungdo Kim; Seung-Bo Lee; Changwoo Lee; Ye Seul Bae; Won Ik Cho; Min Ji Kim; C Hyung Keun Park; Eui Kyu Chie; Nam Soo Kim; Yong Min Ahn Journal: Front Psychiatry Date: 2022-05-24 Impact factor: 5.435
Authors: Nanfang Pan; Song Wang; Yajun Zhao; Han Lai; Kun Qin; Jingguang Li; Bharat B Biswal; John A Sweeney; Qiyong Gong Journal: Hum Brain Mapp Date: 2021-02-18 Impact factor: 5.038