Evidence map›Paper›PMID 39924942›Full record

ArticleBrain and behavior2025

Exploring the Interplay Between Self-Identity, Affective Style, Emotion Regulation, and Anxiety: Based on Bayesian Network Model.

Ruizhi Huang, Huiqing Shen, Ye Yuan, Ke Jiang, Zhilin Wang

Abstract read
In one paragraph

Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ruizhi HuangDepartment of Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Huiqing ShenSchool of Mental Health, Wenzhou Medical University, Wenzhou, China.
Ye YuanSchool of Mental Health, Wenzhou Medical University, Wenzhou, China.
Ke JiangTeacher Education College, Lishui University, Lishui, Zhejiang Province, China.ORCID https://orcid.org/0000-0002-6715-0121
Zhilin WangMental Health Education and Research Center, School of Marxism, Nanjing Medical University, Nanjing, China.

Funding

Fostering Outstanding University for Research 5120200913674Ministry of Education (MOE, Korea)National Research Foundation of Korea (NRF)Zhejiang Province during the 14th Five Year Plan period JGCG2024302
6 · The paper itself

Abstract

objectiveThis study aimed to explore the complex relationships between self-identity, affective style, emotion regulation, and intolerance of uncertainty (IU) in predicting anxiety. A model was proposed to integrate these factors, investigating their combined influence on anxiety.

methodInvolving 608 university students who completed self-report measures of self-identity, affective style, emotion regulation, IU, and anxiety. Network analysis and Bayesian network modeling were used to identify direct and mediating effects among these variables.

resultsNetwork analysis revealed that self-identity, affective style, and IU directly predicted trait anxiety, with adjusting affective style emerging as a central factor. Bayesian network modeling further showed that IU and affective style mediated the impact of self-identity on anxiety. Notably, emotion regulation did not mediate the relationship between affective style and anxiety, suggesting a possible spurious correlation. The model achieved a predictive accuracy of 90.13% for trait anxiety and 88.49% for state anxiety.

conclusionThe findings highlight the central role of self-identity in anxiety interventions, while also emphasizing the importance of addressing affective styles and IU. The results suggest that emotion regulation strategies alone may not directly reduce anxiety, indicating a need for more comprehensive clinical approaches.

Indexed as

AffectAnxietyEmotional RegulationSelf ConceptAdolescentAdultBayes TheoremEmotionsFemaleHumansMaleModels, PsychologicalUncertaintyYoung Adultaffective styleanxietyBayesian network modelemotion regulationintolerance of uncertainty (IU)network analysisself‐identity

Identifiers

PMID39924942
PMCPMC11808182

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.