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      Interoception as a key node in the multidimensional psychological structural model of depression: a structural equation model analysis of integrating environmental, cognitive and behavioral-emotional factors

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          Abstract

          Background

          The psychological structural model of major depressive disorder (MDD) is complex and multifaceted, consisting of the environment factors (EF), cognitive function (CF), and behavioral-emotional manifestations (BEM). Currently, the diagnosis and treatment of MDD is difficult to improve the disease state as a whole through an intervention point. Constructing the psychological structural model of MDD and finding the critical node of the psychological structural model are meaningful for the diagnosis and treatment of MDD.

          Methods

          308 MDD patients (MDDs) participated in this research. They completed assessments of 34 psychological factors, including EF, CF, BEM and interoception function (IF). Pearson correlation was used to investigate the relationship between IF and each factor in the depressive multidimensional psychological structural model (EF, CF and BEM) which was constructed by structural equation modeling (SEM). Critical nodes were identified by the goodness of fit of the model. The depressive multidimensional psychological structural model (EF, CF and BEM) was created through SEM. IF was added to the depressive multidimensional psychological structural model to further verify the pathways and effects of interoception in the network.

          Results

          IF was significantly correlated with all psychological factors. In the depressive multidimensional psychological structural model, EF (β direct = 0.163, p = 0.033) and BEM (β direct = 0.230, p = 0.003) can directly influence MDD. When adding IF to the model, interoception predicted all the factors in the model. The poorer EF led to the lower IF (β direct = − 0.346, p < 0.001). Interoception dysfunction increased the risk of the CF (β direct = -0.525, p = 0.002) and BEM (β direct = − 0.250, p = 0.031) of the patients. EF had the largest total effect on MDD (β direct = 0.365, β indirect = 0.150, β total = 0.515), IF (β direct = − 0.309, β indirect = − 0.126, β total = − 0.434) are second only to EF.

          Conclusions

          IF is a part of the psychological structural model of MDD that predicts EF, CF, and BEM. It could be a potential intervention point to improve the depressive state as a whole.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12888-025-06648-z.

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          Most cited references67

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            Development of a new resilience scale: the Connor-Davidson Resilience Scale (CD-RISC).

            Resilience may be viewed as a measure of stress coping ability and, as such, could be an important target of treatment in anxiety, depression, and stress reactions. We describe a new rating scale to assess resilience. The Connor-Davidson Resilience scale (CD-RISC) comprises of 25 items, each rated on a 5-point scale (0-4), with higher scores reflecting greater resilience. The scale was administered to subjects in the following groups: community sample, primary care outpatients, general psychiatric outpatients, clinical trial of generalized anxiety disorder, and two clinical trials of PTSD. The reliability, validity, and factor analytic structure of the scale were evaluated, and reference scores for study samples were calculated. Sensitivity to treatment effects was examined in subjects from the PTSD clinical trials. The scale demonstrated good psychometric properties and factor analysis yielded five factors. A repeated measures ANOVA showed that an increase in CD-RISC score was associated with greater improvement during treatment. Improvement in CD-RISC score was noted in proportion to overall clinical global improvement, with greatest increase noted in subjects with the highest global improvement and deterioration in CD-RISC score in those with minimal or no global improvement. The CD-RISC has sound psychometric properties and distinguishes between those with greater and lesser resilience. The scale demonstrates that resilience is modifiable and can improve with treatment, with greater improvement corresponding to higher levels of global improvement. Copyright 2003 Wiley-Liss, Inc.
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              Principles and practice in reporting structural equation analyses.

              Principles for reporting analyses using structural equation modeling are reviewed, with the goal of supplying readers with complete and accurate information. It is recommended that every report give a detailed justification of the model used, along with plausible alternatives and an account of identifiability. Nonnormality and missing data problems should also be addressed. A complete set of parameters and their standard errors is desirable, and it will often be convenient to supply the correlation matrix and discrepancies, as well as goodness-of-fit indices, so that readers can exercise independent critical judgment. A survey of fairly representative studies compares recent practice with the principles of reporting recommended here.
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                Author and article information

                Contributors
                zhouzh@njmu.edu.cn
                Hongliangzh@jiangnan.edu.cn
                Journal
                BMC Psychiatry
                BMC Psychiatry
                BMC Psychiatry
                BioMed Central (London )
                1471-244X
                6 March 2025
                6 March 2025
                2025
                : 25
                : 205
                Affiliations
                [1 ]Department of Psychiatry, The Affiliated Wuxi Mental Health Center of Nanjing Medical University, ( https://ror.org/059gcgy73) Wuxi City, 214151 China
                [2 ]Department of Psychiatry, Wuxi Mental Health Center, Training Base of Hubei University of Medicine, ( https://ror.org/01dr2b756) Shiyan, Hubei Province 442000 China
                [3 ]Department of Psychiatry, The Affiliated Mental Health Center of Jiangnan University, ( https://ror.org/04mkzax54) Wuxi City, 214151 China
                [4 ]Department of Psychology, The Affiliated Hospital of Jiangnan University, ( https://ror.org/02ar02c28) Wuxi City, 214151 China
                Article
                6648
                10.1186/s12888-025-06648-z
                11887121
                40050850
                b2c66259-09a7-44c7-aa49-27914daa1565
                © The Author(s) 2025

                Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

                History
                : 7 August 2024
                : 21 February 2025
                Funding
                Funded by: Wuxi Municipal Health Commission Major Project
                Award ID: No. 202107
                Funded by: Wuxi Taihu Talent Project
                Award ID: No. WXTTP 2021
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2025

                Clinical Psychology & Psychiatry
                major depressive disorder,interoception function,environmental factors,cognitive function,behavioral-emotional manifestations,structural equation modeling

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