Evidence map›Paper›PMID 36311506›Full record

ArticleFrontiers in psychiatry2022

The relations between different components of intolerance of uncertainty and symptoms of depression during the COVID-19 pandemic: A network analysis.

Tingwei Feng, Lei Ren, Chang Liu, Kuiliang Li, Lin Wu, Xinyi Wei, Shangqing Yuan, Long-Biao Cui, Xi Yang, Danyang Li and 5 more

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Mental Health Concerns in Patients with COVID-19: A Network Analysis.Psychology research and behavior management · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

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

15 authors.

Tingwei FengMilitary Medical Psychology School, Fourth Military Medical University, Xi'an, China.
Lei RenMilitary Medical Psychology School, Fourth Military Medical University, Xi'an, China.
Chang LiuBrainPark, Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Clayton, VIC, Australia.
Kuiliang LiSchool of Psychology, Army Medical University, Chongqing, China.
Lin WuMilitary Medical Psychology School, Fourth Military Medical University, Xi'an, China.
Xinyi WeiDepartment of Psychology, Renmin University of China, Beijing, China.
Shangqing YuanSchool of Psychology, Capital Normal University, Beijing, China.
Long-Biao CuiMilitary Medical Psychology School, Fourth Military Medical University, Xi'an, China.
Xi YangDepartment of Health Economy Management, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Danyang LiCollege of Education Science, Changji University, Changji, China.
Wei YangPsychological Counseling Center, Xijing University, Xi'an, China.
Ye LiPsychological Counseling Center, Xijing University, Xi'an, China.
Buyao WangClinical and Psychological Counseling, DongFang College, Beijing University of Chinese Medicine, Langfang, China.
Hui WangMilitary Medical Psychology School, Fourth Military Medical University, Xi'an, China.
Xufeng LiuMilitary Medical Psychology School, Fourth Military Medical University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The relations between depression and intolerance of uncertainty (IU) have been extensively investigated during the COVID-19 pandemic. However, there is a lack of understanding on how each component of IU may differentially affect depression symptoms and vice versa. The current study used a network approach to reveal the component-to-symptom interplay between IU and depression and identify intervention targets for depression during the COVID-19 pandemic. Methods: A total of 624 college students participated in the current study. An IU-Depression network was estimated using items from the 12-item Intolerance of Uncertainty Scale and the Patient Health Questionnaire-9. We examined the network structure, node centrality, and node bridge centrality to identify component-to-symptom pathways, central nodes, and bridge nodes within the IU-Depression network. Results: Several distinct pathways (e.g., "Frustration when facing uncertainty" and "Feelings of worthlessness") emerged between IU and Depression. "Fatigue" and "Frustration when facing uncertainty" were identified as the central nodes in the estimated network. "Frustration when facing uncertainty," "Psychomotor agitation/retardation," and "Depressed or sad mood" were identified as bridging nodes between the IU and Depression communities. Conclusion: By delineating specific pathways between IU and depression and highlighting the influential role of "Frustration when facing uncertainty" in maintaining the IU-Depression co-occurrence, current findings may inform targeted prevention and interventions for depression during the COVID-19 pandemic.

Indexed as

bridge nodescentral nodesCOVID-19depressionintolerance of uncertaintynetwork analysis

Identifiers

PMID36311506
PMCPMC9613443

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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.