Literature DB >> 28214643

Family history of suicide and high motor impulsivity distinguish suicide attempters from suicide ideators among college students.

Yong-Guang Wang1, Shen Chen2, Zhi-Ming Xu3, Zhi-Hua Shen3, Yi-Quan Wang3, Xiao-Yan He4, Ri-Fang Cao3, David L Roberts5, Jian-Fei Shi6, Yi-Qiang Wang7.   

Abstract

Suicide in college students has become an important public health issue in China. The aim of this study was to identify the differences between suicide attempters and suicide ideators based on a cross-sectional survey. Our results indicate that although female gender, positive screening for psychiatric illness, positive family history of suicide, elevated overall impulsivity, and elevated motor impulsivity were correlated with suicidal ideation, only positive family history of suicide and high motor impulsivity could differentiate suicide attempters from suicidal ideators. Future research with a longitudinal and prospective study design should be conducted to confirm these findings.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  College students; Family history of suicide; Impulsivity; Suicidal ideation; Suicide attempt

Mesh:

Year:  2017        PMID: 28214643     DOI: 10.1016/j.jpsychires.2017.02.006

Source DB:  PubMed          Journal:  J Psychiatr Res        ISSN: 0022-3956            Impact factor:   4.791


  8 in total

1.  Job strain, long work hours, and suicidal ideation in US workers: a longitudinal study.

Authors:  BongKyoo Choi
Journal:  Int Arch Occup Environ Health       Date:  2018-06-29       Impact factor: 3.015

2.  The Impact of Referral to Mental Health Services on Suicide Death Risk in Adolescent Suicide Survivors.

Authors:  Joonbeom Kim; Sung Hee Hong; Hyun Ju Hong
Journal:  Soa Chongsonyon Chongsin Uihak       Date:  2020-10-01

3.  The Indirect Effect of Prefrontal Gray Matter Volume on Suicide Attempts among Individuals with Major Depressive Disorder.

Authors:  June Kang; Aram Kim; Youbin Kang; Kyu-Man Han; Byung-Joo Ham
Journal:  Exp Neurobiol       Date:  2022-04-30       Impact factor: 3.800

4.  Machine Learning-Based Identification of Suicidal Risk in Patients With Schizophrenia Using Multi-Level Resting-State fMRI Features.

Authors:  Bartosz Bohaterewicz; Anna M Sobczak; Igor Podolak; Bartosz Wójcik; Dagmara Mȩtel; Adrian A Chrobak; Magdalena Fa Frowicz; Marcin Siwek; Dominika Dudek; Tadeusz Marek
Journal:  Front Neurosci       Date:  2021-01-11       Impact factor: 4.677

5.  The Motor Function Evaluation of College Students' Physical Activity State From the Perspective of Educational Psychology.

Authors:  Sha Ge; Chao Song; Wanxiang Yao
Journal:  Front Psychol       Date:  2021-04-15

6.  Suicidal behaviors among Bangladeshi university students: Prevalence and risk factors.

Authors:  M Rasheduzzaman; Firoj Al-Mamun; Ismail Hosen; Tahmina Akter; Moazzem Hossain; Mark D Griffiths; Mohammed A Mamun
Journal:  PLoS One       Date:  2022-01-13       Impact factor: 3.240

7.  Factors of suicidal behavior among inpatients with major depressive disorder: A retrospective case series.

Authors:  Chaomeng Liu; Weigang Pan; Dandi Zhu; Fanqiang Meng; Tengfei Tian; Li Li; Xiaohong Li
Journal:  Front Psychiatry       Date:  2022-09-23       Impact factor: 5.435

8.  Correlation of impulsivity with self-harm and suicidal attempt: a community study of adolescents in Taiwan.

Authors:  Yu-Hsin Huang; Hui-Ching Liu; Fang-Ju Tsai; Fang-Ju Sun; Kuo-Yang Huang; Yu-Ching Chiu; Yen-Hsun Huang; Yo-Ping Huang; Shen-Ing Liu
Journal:  BMJ Open       Date:  2017-12-06       Impact factor: 2.692

  8 in total

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