Investigation on Criminal Psychological Incentive of University Students and Evaluation of Intervention Effect
Lixiang Liu 1 *
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1 Southwest Petroleum University, Chengdu, 610500, CHINA
* Corresponding Author

Abstract

Objective: To understand the psychological factors inducing university students’ illegal and criminal behavior, and provide scientific reference for provision of targeted preventive measures. Methods: A total of 680 school students were randomly selected as study objects from universities in random sampling investigation, to be divided into intervention group and control group. The intervention group received 3-month intervention to control the criminal psychological incentive, while the control group received no intervention. Results: A significant positive correlation between SCL-90 total score and 10 influencing factors (r=0.2257~0.130 P<0.001~0.05) was found using the self-rating symptom scale as a tool. The multi - factor LOGISTIC regression analysis of university students’ psychological problems and criminal behavior found that the psychological factors affecting university students’ potential criminal behavior include academic stress, love state and interpersonal relationship. After intervention, the overall mental health level increased from previous 9.8% to 88.9% in the intervention group, with statistically significant difference (P<0.05), while there was no significant difference in mental health level in various dimensions before and after intervention in the control group. Conclusion: Psychological problems prevail among university students, of which, employment, love state and interpersonal relationship obviously affect university students’ criminal behavior. Timely adoption of intervention measures can reconstruct the mental health system of university students and reduce the risk of crime.

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

https://doi.org/10.12973/ejmste/79442

EURASIA J Math Sci Tech Ed, 2017 - Volume 13 Issue 11, pp. 7237-7242

Publication date: 30 Oct 2017

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Article Downloads: 97

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