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Zhang Y, Zhong X, Shao Y, Gong J. Insula Connectivity Abnormalities Predict Impulsivity in Chronic Heroin Use Disorder: A Cross-Sectional Resting-State fMRI Study. Brain Sci 2023; 13:1508. [PMID: 38002468 PMCID: PMC10669645 DOI: 10.3390/brainsci13111508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 10/04/2023] [Accepted: 10/17/2023] [Indexed: 11/26/2023] Open
Abstract
Patients with heroin use disorder (HUD) often exhibit trait impulsivity, which may be an important factor in and a good predictor of addiction. However, the factor structure of HUD trait impulsivity (motor, attentional, and nonplanning) and its neural correlates are not yet known. A total of 24 male volunteers with HUD and 16 healthy control volunteers were recruited for this cross-sectional study. The Barratt Impulsiveness Scale (BIS-11) and resting-state functional magnetic resonance imaging (rs-fMRI) were employed using the insula as a seed point in an effort to understand the association between trait impulsivity and its intrinsic factors and functional connectivity (FC) between the insula and the whole brain. The HUD group in this study exhibited higher total trait impulsivity scores, motor impulsivity, and nonplanning impulsivity than the control group. Changes in FC between the right insula and the lateral occipital cortex and the right angular gyrus were significantly positively correlated with total trait impulsivity scores, motor impulsivity, and nonplanning impulsivity, whereas changes in the FC between the left insula and the left superior frontal gyrus and left frontopolar brain region were significantly negatively correlated with trait impulsivity. Thus, the insula may serve as an important biomarker for identifying trait impulsivity and its intrinsic factor structure in patients with HUDs.
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Affiliation(s)
- Yan Zhang
- Department of Aviation Psychology, Air Force Medical Center, People’s Liberation Army (PLA), Beijing 100142, China;
| | - Xiao Zhong
- School of Psychology, Beijing Sport University, Beijing 100084, China;
| | - Yongcong Shao
- School of Psychology, Beijing Sport University, Beijing 100084, China;
| | - Jingjing Gong
- School of Psychology, Beijing Sport University, Beijing 100084, China;
- Department of Medical Psychology, Second Medical Center, PLA General Hospital, Beijing 100853, China
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Bertsch I, Potard C, Réveillère C, Hoang Pham T, Courtois R. Contribution of a Cluster Approach to Identify the Profiles of Men Sentenced for Sexual Violence According to Their Risk of Reoffending. JOURNAL OF INTERPERSONAL VIOLENCE 2023; 38:2910-2933. [PMID: 35649723 DOI: 10.1177/08862605221104529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
INTRODUCTION The aim of this study is to propose a typology of recidivism risk profiles based on the criminogenic needs of a population of men sentenced for sexual violence. Their socio-demographic, criminological, psychological, and psychiatric factors and vulnerabilities are compared. This classification will respond to the need for a better identification of the factors involved in the risk of recidivism of men sentenced for sexual violence, in order to develop more effective management. METHOD Several psychological and psychiatric scales (personality traits, impulsivity, cognitive distortions, empathy, and psychiatric disorders) were completed by 86 men incarcerated for sexual violence. Their socio-demographic and criminological characteristics were also recorded, and the investigator rated three recidivism scales for all participants. Results: Cluster analysis led to identification of two significantly different needs groups. In contrast to the "Lower needs" profile (n = 54, 64%), the men with a "Higher needs" profile (n = 32, 36%) were significantly younger and less educated had more adult and extra-familial victims, scored higher on Neuroticism and lower on Conscientiousness and Empathy, and presented with more past and current psychiatric disorders. DISCUSSION The overall findings of this study are consistent with the literature on the characteristics of men sentenced for sexual violence with high needs. The assessment and management of men who have committed sexual violence must consider: criminogenic factors, which should be prioritized; past or present psychiatric disorders, which may act as acute risk factors; and non-criminogenic needs, which should not be prioritized, but which may (when linked to criminogenic needs) impact the effectiveness of management.
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Affiliation(s)
- Ingrid Bertsch
- Department of Psychology, 27092University of Tours, France
- Department of Forensic Psychology, 54521University of Mons-Hainaut, Belgium
- Centre Ressource pour les Intervenants auprès des Auteurs de Violences Sexuelles Centre Val-de-Loire, University hospital of Tours, France
| | - Catherine Potard
- Department of Psychology, 27092University of Tours, France
- Centre Ressource pour les Intervenants auprès des Auteurs de Violences Sexuelles Centre Val-de-Loire, University hospital of Tours, France
- Department of Psychology, Psychology Laboratory of « Pays de la Loire », 26995University of Angers, France
| | | | - Thierry Hoang Pham
- Department of Forensic Psychology, 54521University of Mons-Hainaut, Belgium
- Centre de Recherche en Défense Sociale, Belgium
| | - Robert Courtois
- Department of Psychology, 27092University of Tours, France
- Centre Ressource pour les Intervenants auprès des Auteurs de Violences Sexuelles Centre Val-de-Loire, University hospital of Tours, France
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Simkute D, Nagula I, Tarailis P, Burkauskas J, Griskova-Bulanova I. Internet Usage Habits and Experienced Levels of Psychopathology: A Pilot Study on Association with Spontaneous Eye Blinking Rate. J Pers Med 2021; 11:288. [PMID: 33918557 PMCID: PMC8068990 DOI: 10.3390/jpm11040288] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 04/01/2021] [Accepted: 04/07/2021] [Indexed: 12/21/2022] Open
Abstract
Increasing availability of the internet has resulted in the increased prevalence of problematic online behaviors. Reliable and affordable neurobiological and psychological biomarkers that distinguish problematic internet use (PIU) from functional online activities are of utmost importance. Previous studies have shown a relationship between spontaneous eye blinking rate (sEBR) and changes in dopamine regulation in neurological and psychiatric disorders, including substance use disorders. In this study, we utilized sEBR to examine the potential link between individual differences in dopaminergic neurotransmission and PIU. In sum, 62 subjects participated in this study (median age 25, IQR 6 years, 34 females). The Problematic Internet Use Questionnaire (PIUQ-9), Beck Depression Inventory (BDI-II), Beck Anxiety Inventory (BAI), Clark-Beck Obsessive-Compulsive Inventory (CBOCI) and Barratt Impulsiveness Scale (BIS-11) were used for psychological assessment. The sEBRs were assessed with an electrooculogram recorded from above and below the left eye and from the right and left outer canthi. The group with PIU (PIUQ-9 > 20) expressed higher levels of impulsivity and compulsive behavior symptoms than the control group. In the group with PIU, impulsivity levels were inversely related to sEBR, and a trend of negative association of sEBR with compulsive behavior was observed. Future research should enroll subjects with high levels of PIU and strongly expressed psychopathology levels to further address the utility of sEBR as a potential biomarker.
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Affiliation(s)
- Dovile Simkute
- Institute of Biosciences, Life Sciences Centre, Vilnius University, Sauletekio Av. 7, LT-10257 Vilnius, Lithuania; (D.S.); (I.N.); (P.T.)
| | - Igor Nagula
- Institute of Biosciences, Life Sciences Centre, Vilnius University, Sauletekio Av. 7, LT-10257 Vilnius, Lithuania; (D.S.); (I.N.); (P.T.)
| | - Povilas Tarailis
- Institute of Biosciences, Life Sciences Centre, Vilnius University, Sauletekio Av. 7, LT-10257 Vilnius, Lithuania; (D.S.); (I.N.); (P.T.)
| | - Julius Burkauskas
- Laboratory of Behavioral Medicine, Neuroscience Institute, Lithuanian University of Health Sciences, Vyduno Str. 4, LT-00135 Palanga, Lithuania;
| | - Inga Griskova-Bulanova
- Institute of Biosciences, Life Sciences Centre, Vilnius University, Sauletekio Av. 7, LT-10257 Vilnius, Lithuania; (D.S.); (I.N.); (P.T.)
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Barker ED, Ing A, Biondo F, Jia T, Pingault JB, Du Rietz E, Zhang Y, Ruggeri B, Banaschewski T, Hohmann S, Bokde ALW, Bromberg U, Büchel C, Quinlan EB, Sounga-Barke E, Bowling AB, Desrivières S, Flor H, Frouin V, Garavan H, Asherson P, Gowland P, Heinz A, Ittermann B, Martinot JL, Martinot MLP, Nees F, Papadopoulos-Orfanos D, Poustka L, Smolka MN, Vetter NC, Walter H, Whelan R, Schumann G. Do ADHD-impulsivity and BMI have shared polygenic and neural correlates? Mol Psychiatry 2021; 26:1019-1028. [PMID: 31227801 PMCID: PMC7910212 DOI: 10.1038/s41380-019-0444-y] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Revised: 04/29/2019] [Accepted: 05/03/2019] [Indexed: 01/29/2023]
Abstract
There is an extensive body of literature linking ADHD to overweight and obesity. Research indicates that impulsivity features of ADHD account for a degree of this overlap. The neural and polygenic correlates of this association have not been thoroughly examined. In participants of the IMAGEN study, we found that impulsivity symptoms and body mass index (BMI) were associated (r = 0.10, n = 874, p = 0.014 FWE corrected), as were their respective polygenic risk scores (PRS) (r = 0.17, n = 874, p = 6.5 × 10-6 FWE corrected). We then examined whether the phenotypes of impulsivity and BMI, and the PRS scores of ADHD and BMI, shared common associations with whole-brain grey matter and the Monetary Incentive Delay fMRI task, which associates with reward-related impulsivity. A sparse partial least squared analysis (sPLS) revealed a shared neural substrate that associated with both the phenotypes and PRS scores. In a last step, we conducted a bias corrected bootstrapped mediation analysis with the neural substrate score from the sPLS as the mediator. The ADHD PRS associated with impulsivity symptoms (b = 0.006, 90% CIs = 0.001, 0.019) and BMI (b = 0.009, 90% CIs = 0.001, 0.025) via the neuroimaging substrate. The BMI PRS associated with BMI (b = 0.014, 95% CIs = 0.003, 0.033) and impulsivity symptoms (b = 0.009, 90% CIs = 0.001, 0.025) via the neuroimaging substrate. A common neural substrate may (in part) underpin shared genetic liability for ADHD and BMI and the manifestation of their (observable) phenotypic association.
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Affiliation(s)
- Edward D Barker
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK.
| | - Alex Ing
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | - Francesca Biondo
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | - Tianye Jia
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, Fudan University, Shanghai, China
| | | | - Ebba Du Rietz
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Yuning Zhang
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | - Barbara Ruggeri
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Uli Bromberg
- University Medical Centre Hamburg-Eppendorf, House W34, 3.OG, Martinistr. 52, 20246, Hamburg, Germany
| | - Christian Büchel
- University Medical Centre Hamburg-Eppendorf, House W34, 3.OG, Martinistr. 52, 20246, Hamburg, Germany
| | - Erin Burke Quinlan
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | - Edmund Sounga-Barke
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - April B Bowling
- School of Health Science, Merrimack College, 315 Turnpike Street North Andover, North Andover, MA, 01845, USA
| | - Sylvane Desrivières
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | - Herta Flor
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, 68131, Mannheim, Germany
| | - Vincent Frouin
- Department of Psychology, School of Social Sciences, University of Mannheim, 68131, Mannheim, Germany
- NeuroSpin, CEA, Université Paris-Saclay, F-91191, Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, 05405, Burlington, VT, USA
| | - Philip Asherson
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, UK
| | - Andreas Heinz
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charitéplatz 1, Berlin, Germany
| | - Bernd Ittermann
- Physikalisch-Technische Bundesanstalt (PTB), Abbestr. 2 - 12, Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry", University Paris Sud, University Paris Descartes - Sorbonne Paris Cité; and Maison de Solenn, Paris, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry", University Paris Sud, University Paris Descartes; Sorbonne Université; and AP-HP, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
| | - Dimitri Papadopoulos-Orfanos
- Department of Psychology, School of Social Sciences, University of Mannheim, 68131, Mannheim, Germany
- NeuroSpin, CEA, Université Paris-Saclay, F-91191, Gif-sur-Yvette, France
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, von-Siebold-Str. 5, 37075, Göttingen, Germany
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Nora C Vetter
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany
| | - Henrik Walter
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charitéplatz 1, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Gunter Schumann
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
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Ramirez V, Wiers CE, Wang GJ, Volkow ND. Personality traits in substance use disorders and obesity when compared to healthy controls. Addiction 2020; 115:2130-2139. [PMID: 32350970 DOI: 10.1111/add.15062] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Revised: 10/23/2019] [Accepted: 03/13/2020] [Indexed: 12/21/2022]
Abstract
BACKGROUND AND AIMS Although personality traits are implicated in substance use disorders (SUDs) and obesity, differences and similarities between them have not been assessed. Our main aim was to compare personality traits between people with different SUDs, obese people and healthy controls. DESIGN This was a secondary analysis of personality scores obtained from participants in neuroimaging studies from Brookhaven National Laboratory and the Laboratory of Neuroimaging, National Institutes of Health. SETTING United States. PARTICIPANTS/CASES Individuals with obesity (OB) n = 41, alcohol use disorder (AUD) n = 39, marijuana use disorder (MUD) n = 24, cocaine use disorder (CUD) n = 100, and healthy controls (HC) n = 117 (237 males and 84 females). MEASUREMENTS The Multidimensional Personality Questionnaire, which characterizes positive emotionality (PEM), negative emotionality (NEM) and constraint (CON) traits. Adjusted covariates included cigarette smoking status, age, gender and body mass index (BMI). FINDINGS Multivariate analysis of covariance showed a main group effect (i.e. OB, AUD, MUD, CUD and HC) only on NEM (P < 0.0001, η2 = 0.17) and CON (P = 0.005, η2 = 0.12). Specifically, NEM was higher in AUD (P < 0.0001, d = 10.4), CUD (P < 0.0001, d = 8.2) and MUD (P = 0.001, d = 9.2), but not in OB (P > 0.05, d = 2.8) relative to HC. CUD showed lower CON (P = 0.015, d = 5.4) and PEM (P = 0.018, d = 4.8) than HC; however, these differences were not significant in the other groups. NEM and CON were negatively correlated for groups combined (r = -0.26, P < 0.0001), and separately for OB (r = -0.49, P = 0.001) and CUD (r = -0.22, P = 0.03). Cigarette smoking status did not influence group differences in NEM, PEM or CON. CONCLUSIONS Compared with healthy controls, people with substance use disorders appear to show higher negative emotionality, and people with cocaine use disorders appear to show lower positive emotionality and constraint traits. Similar findings were not found among people with obesity.
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Affiliation(s)
- Veronica Ramirez
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
| | - Corinde E Wiers
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
| | - Gene-Jack Wang
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
| | - Nora D Volkow
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA.,National Institute on Drug Abuse, Bethesda, MD, USA
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Hadzic A, Spangenberg L, Hallensleben N, Forkmann T, Rath D, Strauß M, Kersting A, Glaesmer H. The association of trait impulsivity and suicidal ideation and its fluctuation in the context of the Interpersonal Theory of Suicide. Compr Psychiatry 2019; 98:152158. [PMID: 32004858 DOI: 10.1016/j.comppsych.2019.152158] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2019] [Revised: 11/11/2019] [Accepted: 12/21/2019] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Although the relationship of trait impulsivity and suicidal behavior is well established, its relationship with suicidal ideation and its fluctuation still remains unclear. Our aim is to examine (1) the relationship of trait impulsivity and suicidal ideation and behavior in the context of the Interpersonal Psychological Theory of Suicide (IPTS) and (2) the association of trait impulsivity with the fluctuation of suicidal ideation in an inpatient sample with unipolar depression. METHOD Eighty-four inpatients with unipolar depression and current and/or lifetime suicidal ideation were assessed with a baseline assessment including trait impulsivity, suicidal ideation, suicidal behavior and the constructs of the IPTS. Seventy-four of these patients underwent a 6-day ecological momentary assessment (EMA) with 10 assessments per day across six days assessing passive and active suicidal ideation. Mean squared successive differences (MSSD) across EMA assessments of suicidal ideation were calculated to test fluctuation as an indicator of temporal variability. Correlation analyses were conducted to test the associations. RESULTS There were no associations of trait impulsivity with suicidal ideation, thwarted belongingness and perceived burdensomeness, except the rather low but significant association between thwarted belongingness and the attention subdomain of trait impulsivity (r = 0.23*, p ≤ 0.05). Moreover, trait impulsivity showed a significant positive correlation with capability for suicide but not with the two subdomains of capability for suicide. The only significant but rather low correlation was identified between the motor aspect of trait impulsivity and fearlessness about death (r = 0.26, p ≤ 0.01). Suicidal behavior showed a positive correlation with trait impulsivity, but not with the different subdomains of trait impulsivity. Trait impulsivity showed a significant correlation with the MSSD of passive suicidal ideation (r = 0.26, p ≤ 0.05), but not with active suicidal ideation. Furthermore, the motor aspect of trait impulsivity (BIS motor) showed a significant correlation (r = 0.32, p ≤ 0.01) with the MSSD of passive suicidal ideation, but not with active suicidal ideation or the MSSD total score. CONCLUSION Overall the findings are in line with our assumptions and the IPTS and underline that trait impulsivity is related to suicidal behavior and the fluctuation of suicidal ideation, but not to suicidal ideation itself. Thus, trait impulsivity seems to act as a distal risk factor via capability for suicide and it seems to play a role for the dynamics of suicidal ideation. The results have to be investigated in larger samples, with a higher risk of suicide and in prospective studies. Moreover, the role of the fluctuation of suicidal ideation for the prediction of suicide risk should be investigated in future studies.
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Affiliation(s)
- Asim Hadzic
- Department of Medical Psychology and Medical Sociology, University of Leipzig, Germany.
| | - Lena Spangenberg
- Department of Medical Psychology and Medical Sociology, University of Leipzig, Germany.
| | - Nina Hallensleben
- Department of Medical Psychology and Medical Sociology, University of Leipzig, Germany.
| | - Thomas Forkmann
- Department of Clinical Psychology, University of Duisburg-Essen, Germany.
| | - Dajana Rath
- Department of Clinical Psychology, University of Duisburg-Essen, Germany.
| | - Maria Strauß
- Department of Psychiatry and Psychotherapy, University of Leipzig, Germany.
| | - Anette Kersting
- Department of Psychosomatic Medicine and Psychotherapy, University of Leipzig, Germany.
| | - Heide Glaesmer
- Department of Medical Psychology and Medical Sociology, University of Leipzig, Germany.
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