The relations between different components of intolerance of uncertainty and symptoms of depression during the COVID-19 pandemic: A network analysis
BackgroundThe 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...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-10-01
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| Series: | Frontiers in Psychiatry |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyt.2022.993814/full |
| _version_ | 1811182362562658304 |
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| author | Tingwei Feng Lei Ren Chang Liu Kuiliang Li Lin Wu Xinyi Wei Shangqing Yuan Long-Biao Cui Xi Yang Danyang Li Wei Yang Ye Li Buyao Wang Hui Wang Xufeng Liu |
| author_facet | Tingwei Feng Lei Ren Chang Liu Kuiliang Li Lin Wu Xinyi Wei Shangqing Yuan Long-Biao Cui Xi Yang Danyang Li Wei Yang Ye Li Buyao Wang Hui Wang Xufeng Liu |
| author_sort | Tingwei Feng |
| collection | DOAJ |
| description | BackgroundThe 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.MethodsA 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.ResultsSeveral 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.ConclusionBy 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. |
| first_indexed | 2024-04-11T09:31:15Z |
| format | Article |
| id | doaj.art-6992ad62f39d46fa93d7a04421909587 |
| institution | Directory Open Access Journal |
| issn | 1664-0640 |
| language | English |
| last_indexed | 2024-04-11T09:31:15Z |
| publishDate | 2022-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychiatry |
| spelling | doaj.art-6992ad62f39d46fa93d7a044219095872022-12-22T04:31:53ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402022-10-011310.3389/fpsyt.2022.993814993814The relations between different components of intolerance of uncertainty and symptoms of depression during the COVID-19 pandemic: A network analysisTingwei Feng0Lei Ren1Chang Liu2Kuiliang Li3Lin Wu4Xinyi Wei5Shangqing Yuan6Long-Biao Cui7Xi Yang8Danyang Li9Wei Yang10Ye Li11Buyao Wang12Hui Wang13Xufeng Liu14Military Medical Psychology School, Fourth Military Medical University, Xi'an, ChinaMilitary Medical Psychology School, Fourth Military Medical University, Xi'an, ChinaBrainPark, Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Clayton, VIC, AustraliaSchool of Psychology, Army Medical University, Chongqing, ChinaMilitary Medical Psychology School, Fourth Military Medical University, Xi'an, ChinaDepartment of Psychology, Renmin University of China, Beijing, ChinaSchool of Psychology, Capital Normal University, Beijing, ChinaMilitary Medical Psychology School, Fourth Military Medical University, Xi'an, ChinaDepartment of Health Economy Management, Xijing Hospital, Fourth Military Medical University, Xi'an, ChinaCollege of Education Science, Changji University, Changji, ChinaPsychological Counseling Center, Xijing University, Xi'an, ChinaPsychological Counseling Center, Xijing University, Xi'an, ChinaClinical and Psychological Counseling, DongFang College, Beijing University of Chinese Medicine, Langfang, ChinaMilitary Medical Psychology School, Fourth Military Medical University, Xi'an, ChinaMilitary Medical Psychology School, Fourth Military Medical University, Xi'an, ChinaBackgroundThe 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.MethodsA 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.ResultsSeveral 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.ConclusionBy 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.https://www.frontiersin.org/articles/10.3389/fpsyt.2022.993814/fullCOVID-19depressionintolerance of uncertaintynetwork analysiscentral nodesbridge nodes |
| spellingShingle | Tingwei Feng Lei Ren Chang Liu Kuiliang Li Lin Wu Xinyi Wei Shangqing Yuan Long-Biao Cui Xi Yang Danyang Li Wei Yang Ye Li Buyao Wang Hui Wang Xufeng Liu The relations between different components of intolerance of uncertainty and symptoms of depression during the COVID-19 pandemic: A network analysis Frontiers in Psychiatry COVID-19 depression intolerance of uncertainty network analysis central nodes bridge nodes |
| title | The relations between different components of intolerance of uncertainty and symptoms of depression during the COVID-19 pandemic: A network analysis |
| title_full | The relations between different components of intolerance of uncertainty and symptoms of depression during the COVID-19 pandemic: A network analysis |
| title_fullStr | The relations between different components of intolerance of uncertainty and symptoms of depression during the COVID-19 pandemic: A network analysis |
| title_full_unstemmed | The relations between different components of intolerance of uncertainty and symptoms of depression during the COVID-19 pandemic: A network analysis |
| title_short | The relations between different components of intolerance of uncertainty and symptoms of depression during the COVID-19 pandemic: A network analysis |
| title_sort | relations between different components of intolerance of uncertainty and symptoms of depression during the covid 19 pandemic a network analysis |
| topic | COVID-19 depression intolerance of uncertainty network analysis central nodes bridge nodes |
| url | https://www.frontiersin.org/articles/10.3389/fpsyt.2022.993814/full |
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