Literature DB >> 28224435

Factors associated with trait anger level of juvenile offenders in Hubei province: A binary logistic regression analysis.

Li-Na Tang1, Xiao-Zhou Ye1, Qiu-Ge Yan1, Hong-Juan Chang1, Yu-Qiao Ma1, De-Bin Liu2, Zhi-Gen Li2, Yi-Zhen Yu3.   

Abstract

The risk factors of high trait anger of juvenile offenders were explored through questionnaire study in a youth correctional facility of Hubei province, China. A total of 1090 juvenile offenders in Hubei province were investigated by self-compiled social-demographic questionnaire, Childhood Trauma Questionnaire (CTQ), and State-Trait Anger Expression Inventory-II (STAXI-II). The risk factors were analyzed by chi-square tests, correlation analysis, and binary logistic regression analysis with SPSS 19.0. A total of 1082 copies of valid questionnaires were collected. High trait anger group (n=316) was defined as those who scored in the upper 27th percentile of STAXI-II trait anger scale (TAS), and the rest were defined as low trait anger group (n=766). The risk factors associated with high level of trait anger included: childhood emotional abuse, childhood sexual abuse, step family, frequent drug abuse, and frequent internet using (P<0.05 or P<0.01). Birth sequence, number of sibling, ranking in the family, identity of the main care-taker, the education level of care-taker, educational style of care-taker, family income, relationship between parents, social atmosphere of local area, frequent drinking, and frequent smoking did not predict to high level of trait anger (P>0.05). It was suggested that traumatic experience in childhood and unhealthy life style may significantly increase the level of trait anger in adulthood. The risk factors of high trait anger and their effects should be taken into consideration seriously.

Entities:  

Keywords:  binary-logistic regression; childhood trauma questionnaire; juvenile offenders; trait anger

Mesh:

Year:  2017        PMID: 28224435     DOI: 10.1007/s11596-017-1688-x

Source DB:  PubMed          Journal:  J Huazhong Univ Sci Technolog Med Sci        ISSN: 1672-0733


  8 in total

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  8 in total

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