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Intervention analysis of red culture ideological and political education on mood disorders of college students

Published online by Cambridge University Press:  27 October 2023

Weijin Xie*
Affiliation:
Nanchang University, Nanchang 330031, China
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Abstract

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Background

Currently, there are relatively few intervention models for ideological and political education in response to issues such as mood disorders caused by high mental stress among college students. The usual way is through exercise and art therapy. The use of red culture education as an intervention and treatment method can provide an exploratory model for the treatment of psychological disorders among college students.

Subjects and Methods

Firstly, six college students were selected for intervention treatment. The second experiment lasted for 6 weeks, once a week for 90 minutes, and the Chinese version of the Self Rating Anxiety Scale (SAS), Chinese version of the Self Rating Depression Scale (SDS), Hamilton Depression Scale (HAMD), and Hamilton Anxiety Scale (HAM-A) were used to collect data for evaluation before and after intervention. Finally, SPSS23.0 statistical software is used to input data and t-test.

Results

Comparing the significance of the four quantitative testing results before and after intervention, data of SAS (t=1.308, P>0.1), SDS (t=2.529, P<0.05), HAMA (t=11.931, P<0.001), and HAND (t=6.771, P<0.001) were obtained. This indicates that its treatment intervention model is more suitable for the treatment of obstacles in college students.

Conclusions

The Intervention of Red Culture and Ideological Education can help promote college students’ self-awareness and inner emotional organization, effectively alleviate anxiety, depression, and physical health problems. It provides technical guidance for various intervention and treatment plans.

Acknowledgement

Research result of Jiangxi Province graduate innovation project (No. YC2019_B025); Phased research results of Jiangxi Province Education Science Planning Project 2021 (No. 21YB231).

Type
Abstracts
Copyright
© The Author(s), 2023. Published by Cambridge University Press