Volume 46 Issue 3
Mar.  2025
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LIU Ya, ZHENG Hongyu, XU Fenglin, ZHONG Hui. Relationship between psychological resilience and attention bias among secondary vocational school students[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2025, 46(3): 368-371. doi: 10.16835/j.cnki.1000-9817.2025091
Citation: LIU Ya, ZHENG Hongyu, XU Fenglin, ZHONG Hui. Relationship between psychological resilience and attention bias among secondary vocational school students[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2025, 46(3): 368-371. doi: 10.16835/j.cnki.1000-9817.2025091

Relationship between psychological resilience and attention bias among secondary vocational school students

doi: 10.16835/j.cnki.1000-9817.2025091
  • Received Date: 2024-12-23
  • Rev Recd Date: 2025-02-15
  • Available Online: 2025-04-03
  • Publish Date: 2025-03-25
  •   Objective  To explore the relationship between psychological resilience and attention bias towards negative information in secondary vocational school students, so as to provide reference for developing their mental health work.  Methods  In May, 2024, 177 secondary vocational students were selected from the technical secondary vocational school by convenient sampling method. The experiment utilized a mixed experimental design of 2 (group: high psychological resilience group, low psychological resilience group) ×2 (type of stimulus: negative stimulus, neutral stimulus). Adolescents were divided into the high psychological resilience group (n=32) and the low psychological resilience group (n=31) based on their scores from the Adolescent Psychological Resilience Scale. Both groups completed the classical dot-probing task, with correct rate, reaction time serving and attention biasvalues as primary indicators to assess attention bias. Repeated measures ANOVA was used to compare the reaction time and accuracy of attention bias tasks between two groups of participants, and Pearson correlation analysis was performed on the five dimensions of psychological resilience and attention bias values.  Results  The low resilience group exhibited significantly faster response time to negative stimuli compared to neutral stimuli [(579.11±85.44, 586.13±78.92)ms, F(1, 61)=5.93, P < 0.05]. Additionally, the accuracy of responses to negative stimuli in the low resilience group was significantly lower than that of neutral stimuli [(0.93±0.12, 0.95±0.09), F(1, 61)=12.81, P < 0.01]. Attention bias values were significantly higher in the low resilience group (7.03±18.43) compared to the high resilience group (-2.54±13.39) (t=2.36, P < 0.05). Pearson correlation analysis revealed a marginally significant negative correlation between the interpersonal assistance (2.85±0.77) and attention bias values (2.20±16.65) (r=-0.25, P < 0.05).  Conclusion  Secondary vocational school students with low psychological resilience showed a significant attention bias towards negative emotional stimuli, which may render them more susceptible to such stimuli.
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