ORIGINAL RESEARCH article

Front. Psychol.

Sec. Quantitative Psychology and Measurement

Volume 16 - 2025 | doi: 10.3389/fpsyg.2025.1569773

Profiles of Cognitive Fusion and associated factors among Chinese high school students: a latent profile analysis

Provisionally accepted
Yu  DingYu Ding1Ruikang  HuRuikang Hu2Binghang  GuoBinghang Guo3Zezhong  WangZezhong Wang4Qirui  DongQirui Dong5*Zhifeng  ZhaoZhifeng Zhao2*Wen  WuWen Wu6*
  • 1The Battalion 2 of Cadet Brigade, School of Basic Medicine, Naval Military Medical University (NMMU), Shanghai, China
  • 2Medical School of Chinese People's Liberation Army, Beijing, China
  • 3The Battalion 3 of Cadet Brigade, School of Basic Medicine, Naval Military Medical University (NMMU), Shanghai, China
  • 4Department of Health Management, Faculty of Military Health Service, The Navy Military Medical University, Shanghai, China
  • 5Unit 96863 of Chinese People's Liberation Army, Luoyang, China
  • 696608 Military Hospital of Chinese People's Liberation Army, Hanzhong, China

The final, formatted version of the article will be published soon.

Background: The study aimed to analyze the potential categories of cognitive fusion (CF) among Chinese high school students and to explore the cut-off values and influencing factors for distinguishing the subgroups of cognitive fusion.Methods: 1014 high school students in Hebi City, Henan Province, China were recruited by Cognitive Fusion Questionnaire from August to October 2024. Latent profile analysis was performed on the cognitive fusion score. The influencing factors associated with different classifications were investigated via multinomial logistic regression and the optimal cut-off value was identified based on the receiver operating characteristic area under curve (ROC AUC). Results: The cognitive fusion of high school students could be categorized into three subgroups: the low-CF group (14.6%), moderate-CF group (58.6%), and high-CF group (26.8%). The high-CF group identified by the questionnaire had a cut-off value of 47.5, with sensitivity at 0.996 and specificity at 0.992. For the low-CF group, the cut-off value was 30.5, sensitivity was 0.986, and specificity was 0.993. Regression analysis revealed that grade12 (aOR=2.009, 95%CI: 1.323-3.050) and female (aOR=1.563, 95%CI: 1.085-2.250) were linked to the moderate-CF group. Additionally, students in grade 11 (aOR = 1.940, 95% CI: 1.156–3.256), grade 12 (aOR = 1.704, 95% CI: 1.063–2.730), and females (aOR = 2.147, 95% CI: 1.426–3.233) were more likely to belong to the high-CF group.Conclusion: High school students' cognitive fusion scores can be classified into three potential categories. The screening tool demonstrates effectiveness in identifying high cognitive fusion groups, with significant differences observed across categories based on gender and grade level. Tailored interventions targeting the specific characteristics of each category may contribute to reducing cognitive fusion among high school students.

Keywords: Cognitive fusion, latent profile analysis, High School Student, Receiver operating characteristic area under curve, Acceptance and Commitment Therapy

Received: 07 Feb 2025; Accepted: 10 Jun 2025.

Copyright: © 2025 Ding, Hu, Guo, Wang, Dong, Zhao and Wu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Qirui Dong, Unit 96863 of Chinese People's Liberation Army, Luoyang, China
Zhifeng Zhao, Medical School of Chinese People's Liberation Army, Beijing, China
Wen Wu, 96608 Military Hospital of Chinese People's Liberation Army, Hanzhong, China

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