Examining Intolerance of Uncertainty as a System of Interacting Beliefs: A Network Analysis Among 108,540 Adolescents

• Published in: Cognitive therapy and research 2024-06, Vol.48 (3), p.382-397
• Main Authors: Ye, Haoxian, Ding, Jiaming, Liu, Yixin, Cai, Zifan, Jiang, Nan, Cheng, Tengfei, He, Sisi, You, Ruiyan, Yu, Wanqing, Liu, Wenxu, Bu, Luowei, Fan, Fang
• Format: Article
• Language: English
• Subjects: Adolescents; Clinical Psychology; Cognitive Psychology; Intolerance; Medicine; Medicine & Public Health; Original Article; Psychopathology; Quality of Life Research; Risk factors; Teenagers
• ISSN: 0147-5916; 1573-2819
• DOI: 10.1007/s10608-023-10436-y

Purpose While intolerance of uncertainty (IU) is widely recognized as a transdiagnostic risk factor for psychopathology, there is limited research on its internal structure and core features. This study aimed to employ network analysis to examine IU as a system of interconnected beliefs among a large sample of Chinese adolescents. Methods A total of 108,540 students participated in this study by providing data through an online platform. IU was measured using the RCIUI-A-C, a customized assessment specifically developed and validated for Chinese adolescents. This assessment focused on individuals’ beliefs regarding the general unacceptability of uncertainty. Results The beliefs “can’t stand being in an uncertain situation” and “can’t stand waiting when I don’t know what’s going to happen” were identified as the most central beliefs within the IU network. Additionally, the weighted adjacency matrix revealed that the beliefs “can’t stand being in an uncertain situation” and “can’t stand not knowing certain things in life in advance” exhibited the strongest connection. Moreover, two distinct communities were identified within the IU network: “intolerance of uncertainty and of uncertain situations” and “intolerance of the unexpected and difficulty waiting in an uncertain situation”. Notably, one of the most central beliefs served as the strongest bridge between these two communities. Conclusions These findings offer novel insights into the internal characteristics of IU and contribute to a better understanding of its nature and malleability. The identification of the two most central beliefs and the bridging beliefs suggests that they may serve as effective targets for IU-based interventions.