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Gepubliceerd in: Journal of Psychopathology and Behavioral Assessment 1/2021

18-08-2020

The Efficacy of Intolerance of Uncertainty Intervention on Anxiety and its Mediating Role by Multilayer Linear Model Analysis

Auteurs: Ji Li, Jinfan Gao, Qin Zhang, Chieh Li, Lixia Cui

Gepubliceerd in: Journal of Psychopathology and Behavioral Assessment | Uitgave 1/2021

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Abstract

Cognitive bias modification-interpretation (CBM-I) is a promising treatment modality for emotional disorders. But the moderate effect sizes emphasize the need to explore the potential mechanism of the CBM-I. Recent research has identified intolerance of uncertainty (IU) as a possible a trans-diagnostic risk and maintaining factor emotional disorders. The current study investigated the impact of a four-session IU-focused CBM-I on reduction of anxiety and determined whether IU mediated the relationship between IU interpretation bias and anxiety. 40 participants selected based on a high IU interpretation bias (IU-IB) were randomly assigned to an active (IU CBM-I) condition and a control CBM-I condition. By longitudinal design, anxiety and uncertainty questionnaires were administered before, after and one month after the intervention. Multilayer linear model analysis indicated that the active IU CBM-I was significantly associated with changes in anxiety from pre-to-post intervention as well as reductions in IU at post-intervention and month-one follow-up. The results also found that IU mediated the relationship between IU interpretation bias and anxiety.
Voetnoten
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We also conducted a sensitivity analysis that includes all randomized subjects and the pattern of findings was consistent with those reported for the completer sample.
 
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Metagegevens
Titel
The Efficacy of Intolerance of Uncertainty Intervention on Anxiety and its Mediating Role by Multilayer Linear Model Analysis
Auteurs
Ji Li
Jinfan Gao
Qin Zhang
Chieh Li
Lixia Cui
Publicatiedatum
18-08-2020
Uitgeverij
Springer US
Gepubliceerd in
Journal of Psychopathology and Behavioral Assessment / Uitgave 1/2021
Print ISSN: 0882-2689
Elektronisch ISSN: 1573-3505
DOI
https://doi.org/10.1007/s10862-020-09832-5

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