A new way to conceptualize intolerance of uncertainty among adolescents: Embracing the network perspective
Intolerance of uncertainty (IU), a pivotal transdiagnostic risk factor in psychopathology, is defined as a dispositional incapacity to withstand uncertainty distress, driving maladaptive cognitive, emotional and behavioural reactions to uncertainty. However, the intricate interplay among these components, particularly in adolescents, remains underexplored; yet understanding this interplay is crucial for supporting mental health. To address this gap, we employed a network approach to conceptualize IU in 5672 non-clinical Chinese adolescents (M<sub>age</sub> = 14.13 years, SD<sub>age</sub> = 1.96 years, range = 10-19 years, 46.6% boys), combining graphical Gaussian models (GGM) and directed acyclic graphs (DAG). Our analyses revealed a tripartite network comprising cognitive, behavioural and emotional components. Notably, 'frustration' and 'work with hindrance' emerged as key drivers, while 'catastrophizing belief' served as a critical bridge linking different components. These findings underscore the importance of alleviating uncertainty-induced frustration and enhancing coping skills for behavioural impediments to mitigate adolescent IU. Additionally, therapeutic interventions should prioritize modifying and re-evaluating catastrophizing beliefs related to uncertainty.
Authors
- Yike Huang (ORCID: https://orcid.org/0000-0002-7689-7016)
- Haoxian Ye (ORCID: https://orcid.org/0000-0002-5652-3973)
- Xiangting Zhang (ORCID: https://orcid.org/0009-0009-6653-2601)
- Ruiyan You
- Zhijun Yu
- Fang Fan (ORCID: https://orcid.org/0000-0002-5791-452X)
- Yunyi Li (ORCID: https://orcid.org/0009-0009-8957-6295)
- Xinyu Shi
- Huolian Li
Institutions
- South China Normal University (CN)
Publication Details
- Journal
- British Journal of Psychology
- Published
- 2024-10-19
- DOI
- https://doi.org/10.1111/bjop.12736
- Citations
- 4
- Primary Topic
- Mental Health Research Topics
- Type
- article
- Field-Weighted Citation Impact
- 2.03
Funders
- National Natural Science Foundation of China