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Duan S, Valmaggia L, Lawrence AJ, Fennema D, Moll J, Zahn R. Virtual reality-assessment of social interactions and prognosis in depression. J Affect Disord 2024; 359:234-240. [PMID: 38777276 DOI: 10.1016/j.jad.2024.05.098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 04/23/2024] [Accepted: 05/19/2024] [Indexed: 05/25/2024]
Abstract
BACKGROUND Freud proposed that excessive self-blame-related motivations such as self-punishing tendencies play a key role in depression. Most of the supporting evidence, however, is based on cross-sectional studies and questionnaire measures. METHODS In this pre-registered (NCT04593537) study, we used a novel Virtual Reality (VR) task to determine whether maladaptive self-blame-related action tendencies prospectively identify a subgroup of depression with poor prognosis when treated as usual over four months in primary care. Ninety-eight patients with depression (Patient Health Questionnaire-9 ≥ 15), screening negatively for bipolar and alcohol/substance use disorders, completed the VR-task at baseline (n = 93 completed follow-up). RESULTS Our pre-registered statistical/machine learning model prospectively predicted a cross-validated 19 % of variance in depressive symptoms. Contrary to our specific predictions, and in accordance with Freud's observations, feeling like punishing oneself emerged as prognostically relevant rather than feeling like hiding or creating a distance from oneself. Using a principal components analysis of all pre-registered continuous measures, a factor most strongly loading on feeling like punishing oneself for other people's wrongdoings (β = 0.23, p = 0.01), a baseline symptom factor (β = 0.30, p = 0.006) and Maudsley Staging Method treatment-resistance scores (β = 0.28, p = 0.009) at baseline predicted higher depressive symptoms after four months. LIMITATIONS Patients were not assessed with a diagnostic interview. CONCLUSIONS Independently and apart from known clinical variables, feeling like punishing oneself emerged as a distinctly relevant prognostic factor and should therefore be assessed and tackled in personalised care pathways for difficult-to-treat depression.
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Affiliation(s)
- Suqian Duan
- King's College London, Institute of Psychiatry, Psychology & Neuroscience, Department of Psychological Medicine, Centre for Affective Disorders, United Kingdom
| | - Lucia Valmaggia
- King's College London, Institute of Psychiatry, Psychology & Neuroscience, Department of Psychology, London SE5 8AF, United Kingdom; South London and Maudsley NHS Foundation Trust, London BR3 3BX, United Kingdom; KU Leuven, Department of Psychiatry, Belgium
| | - Andrew J Lawrence
- King's College London, Institute of Psychiatry, Psychology & Neuroscience, Department of Psychological Medicine, Centre for Affective Disorders, United Kingdom
| | - Diede Fennema
- King's College London, Institute of Psychiatry, Psychology & Neuroscience, Department of Psychological Medicine, Centre for Affective Disorders, United Kingdom
| | - Jorge Moll
- Cognitive and Behavioral Neuroscience Unit, D'Or Institute for Research and Education (IDOR), 22280-080 Rio de Janeiro, RJ, Brazil; Scients Institute, USA
| | - Roland Zahn
- King's College London, Institute of Psychiatry, Psychology & Neuroscience, Department of Psychological Medicine, Centre for Affective Disorders, United Kingdom; South London and Maudsley NHS Foundation Trust, London BR3 3BX, United Kingdom; Cognitive and Behavioral Neuroscience Unit, D'Or Institute for Research and Education (IDOR), 22280-080 Rio de Janeiro, RJ, Brazil.
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Zhang H, Zhang X, Jiang X, Dai R, Zhao N, Pan W, Guo J, Fan J, Bao S. Mindfulness-based intervention for hypertension patients with depression and/or anxiety in the community: a randomized controlled trial. Trials 2024; 25:299. [PMID: 38698436 PMCID: PMC11529483 DOI: 10.1186/s13063-024-08139-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 04/25/2024] [Indexed: 05/05/2024] Open
Abstract
OBJECTIVE To evaluate mindfulness-based intervention for hypertension with depression and/or anxiety. METHODS 10-week mindfulness-based intervention, including health education for hypertension, exclusively for the control group, was administered to the intervention group to assist sixty hypertension patients with depression/anxiety. Among them, the intervention group comprised 8 men and 22 women, with a mean age of 60.02 years and a mean duration of hypertension of 6.29 years. The control group consisted of 14 men and 16 women with a mean age of 57.68 years and a mean duration of hypertension of 6.32 years. The severity of depressive and/or anxiety symptoms was assessed using the 9-item Patient Health Questionnaire (PHQ-9) and the 7-item Generalized Anxiety Disorder scale (GAD-7), along with blood pressure (BP) measurements taken twice daily. The study utilized a self-made self-efficacy scale and awareness of physical and mental health to evaluate mental health and state. RESULTS The depression PHQ-9 or GAD-7 scores reduced by 21.1% or 17.8% in the mindfulness-based intervention group, compared to the control (Z = -2.040, P = 0.041) post 10-week period, suggesting significant reduction in anxiety/stress. These results were consistent with a reduction in systolic BP of 12.24 mm Hg (t = 6.041, P = 0.000). The self-efficacy score of the mindfulness intervention group significantly improved compared to the control (t = 7.818, P < 0.001), while the awareness of physical and mental health in the mindfulness intervention group significantly improved compared to the control (χ2 = 5.781, P = 0.016). CONCLUSION Mindfulness-based, short-term focused interventions provide modest relief for depression and/or anxiety and are effective in lowering blood pressure and improving self-efficacy scores. TRIAL REGISTRATION Chinese Clinical Trial Registry, ChiCTR1900028258. Registered 16 December 2019, https://www.chictr.org.cn/showproj.html?proj=43627 .
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Affiliation(s)
- Hailiang Zhang
- Center for Laboratory and Simulation Training, School of Public Health, Center for Evidence-Based Medicine, Gansu University of Chinese Medicine, Lanzhou, 730101, Gansu, China
- Collaborative Innovation Center for Traditional Chinese Medicine Prevention and, Control of Environmental and Nutrition-Related Diseases in Northwest China, Lanzhou, 730101, Gansu, China
- Department of Mental Health, Gansu Provincial Centre for Disease Control and Prevention, Lanzhou, 730030, Gansu, China
| | - Xiangrong Zhang
- Department of Chinese Medicine, Center of Hekou Town, Xigu District, Lanzhou, 730094, Gansu, China
| | - Xiaomei Jiang
- Department of Psychosomatic and Sleep Medicine, Gansu Gem Flower Hospital, Xigu District, Lanzhou, 730060, Gansu, China
| | - Runjing Dai
- Center for Laboratory and Simulation Training, School of Public Health, Center for Evidence-Based Medicine, Gansu University of Chinese Medicine, Lanzhou, 730101, Gansu, China
| | - Na Zhao
- Department of Hospital Infection-Control, Affiliated Hospital of Gansu University of Chinese Medicine, Lanzhou, 730020, Gansu, China
| | - Weimin Pan
- Department of Mental Health, Gansu Provincial Centre for Disease Control and Prevention, Lanzhou, 730030, Gansu, China
| | - Jiaohong Guo
- Department of Vasculo-Cardiology, Pingliang Second People's Hospital, Kongtong District, Pingliang, 744000, Gansu, China.
| | - Jingchun Fan
- Center for Laboratory and Simulation Training, School of Public Health, Center for Evidence-Based Medicine, Gansu University of Chinese Medicine, Lanzhou, 730101, Gansu, China.
- Collaborative Innovation Center for Traditional Chinese Medicine Prevention and, Control of Environmental and Nutrition-Related Diseases in Northwest China, Lanzhou, 730101, Gansu, China.
| | - Shisan Bao
- Center for Laboratory and Simulation Training, School of Public Health, Center for Evidence-Based Medicine, Gansu University of Chinese Medicine, Lanzhou, 730101, Gansu, China.
- Collaborative Innovation Center for Traditional Chinese Medicine Prevention and, Control of Environmental and Nutrition-Related Diseases in Northwest China, Lanzhou, 730101, Gansu, China.
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Fennema D, Barker GJ, O’Daly O, Duan S, Carr E, Goldsmith K, Young AH, Moll J, Zahn R. The Role of Subgenual Resting-State Connectivity Networks in Predicting Prognosis in Major Depressive Disorder. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2024; 4:100308. [PMID: 38645404 PMCID: PMC11033067 DOI: 10.1016/j.bpsgos.2024.100308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 12/18/2023] [Accepted: 03/05/2024] [Indexed: 04/23/2024] Open
Abstract
Background A seminal study found higher subgenual frontal cortex resting-state connectivity with 2 left ventral frontal regions and the dorsal midbrain to predict better response to psychotherapy versus medication in individuals with treatment-naïve major depressive disorder (MDD). Here, we examined whether these subgenual networks also play a role in the pathophysiology of clinical outcomes in MDD with early treatment resistance in primary care. Methods Forty-five people with current MDD who had not responded to ≥2 serotonergic antidepressants (n = 43, meeting predefined functional magnetic resonance imaging minimum quality thresholds) were enrolled and followed over 4 months of standard care. Functional magnetic resonance imaging resting-state connectivity between the preregistered subgenual frontal cortex seed and 3 previously identified left ventromedial, ventrolateral prefrontal/insula, and dorsal midbrain regions was extracted. The clinical outcome was the percentage change on the self-reported 16-item Quick Inventory of Depressive Symptomatology. Results We observed a reversal of our preregistered hypothesis in that higher resting-state connectivity between the subgenual cortex and the a priori ventrolateral prefrontal/insula region predicted favorable rather than unfavorable clinical outcomes (rs39 = -0.43, p = .006). This generalized to the sample including participants with suboptimal functional magnetic resonance imaging quality (rs43 = -0.35, p = .02). In contrast, no effects (rs39 = 0.12, rs39 = -0.01) were found for connectivity with the other 2 preregistered regions or in a whole-brain analysis (voxel-based familywise error-corrected p < .05). Conclusions Subgenual connectivity with the ventrolateral prefrontal cortex/insula is relevant for subsequent clinical outcomes in current MDD with early treatment resistance. Its positive association with favorable outcomes could be explained primarily by psychosocial rather than the expected pharmacological changes during the follow-up period.
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Affiliation(s)
- Diede Fennema
- Centre of Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, Centre for Affective Disorders, King’s College London, London, United Kingdom
| | - Gareth J. Barker
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Owen O’Daly
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Suqian Duan
- Centre of Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, Centre for Affective Disorders, King’s College London, London, United Kingdom
| | - Ewan Carr
- Department of Biostatics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Kimberley Goldsmith
- Department of Biostatics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Allan H. Young
- Centre of Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, Centre for Affective Disorders, King’s College London, London, United Kingdom
- National Service for Affective Disorders, South London and Maudsley National Health Service Foundation Trust, London, United Kingdom
| | - Jorge Moll
- Cognitive and Behavioural Neuroscience Unit, D’Or Institute for Research and Education, Rio de Janeiro, Brazil
| | - Roland Zahn
- Centre of Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, Centre for Affective Disorders, King’s College London, London, United Kingdom
- Cognitive and Behavioural Neuroscience Unit, D’Or Institute for Research and Education, Rio de Janeiro, Brazil
- National Service for Affective Disorders, South London and Maudsley National Health Service Foundation Trust, London, United Kingdom
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Lee CT, Kelley SW, Palacios J, Richards D, Gillan CM. Estimating the prognostic value of cross-sectional network connectivity for treatment response in depression. Psychol Med 2024; 54:317-326. [PMID: 37282838 DOI: 10.1017/s0033291723001368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
BACKGROUND Tightly connected symptom networks have previously been linked to treatment resistance, but most findings come from small-sample studies comparing single responder v. non-responder networks. We aimed to estimate the association between baseline network connectivity and treatment response in a large sample and benchmark its prognostic value against baseline symptom severity and variance. METHODS N = 40 518 patients receiving treatment for depression in routine care in England from 2015-2020 were analysed. Cross-sectional networks were constructed using the Patient Health Questionnaire-9 (PHQ-9) for responders and non-responders (N = 20 259 each). To conduct parametric tests investigating the contribution of PHQ-9 sum score mean and variance to connectivity differences, networks were constructed for 160 independent subsamples of responders and non-responders (80 each, n = 250 per sample). RESULTS The baseline non-responder network was more connected than responders (3.15 v. 2.70, S = 0.44, p < 0.001), but effects were small, requiring n = 750 per group to have 85% power. Parametric analyses revealed baseline network connectivity, PHQ-9 sum score mean, and PHQ-9 sum score variance were correlated (r = 0.20-0.58, all p < 0.001). Both PHQ-9 sum score mean (β = -1.79, s.e. = 0.07, p < 0.001), and PHQ-9 sum score variance (β = -1.67, s.e. = 0.09, p < 0.001) had larger effect sizes for predicting response than connectivity (β = -1.35, s.e. = 0.12, p < 0.001). The association between connectivity and response disappeared when PHQ-9 sum score variance was accounted for (β = -0.28, s.e. = 0.19, p = 0.14). We replicated these results in patients completing longer treatment (8-12 weeks, N = 22 952) and using anxiety symptom networks (N = 70 620). CONCLUSIONS The association between baseline network connectivity and treatment response may be largely due to differences in baseline score variance.
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Affiliation(s)
- Chi Tak Lee
- Department of Psychology, Trinity College Dublin, Dublin, Ireland
- Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
- Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Sean W Kelley
- Department of Psychology, Trinity College Dublin, Dublin, Ireland
- Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
- Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Jorge Palacios
- Department of Psychology, Trinity College Dublin, Dublin, Ireland
| | - Derek Richards
- Department of Psychology, Trinity College Dublin, Dublin, Ireland
- SilverCloud Science, SilverCloud Health Ltd, Dublin, Ireland
| | - Claire M Gillan
- Department of Psychology, Trinity College Dublin, Dublin, Ireland
- Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
- Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
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Duan S, Valmaggia L, Fennema D, Moll J, Zahn R. Remote virtual reality assessment elucidates self-blame-related action tendencies in depression. J Psychiatr Res 2023; 161:77-83. [PMID: 36905843 DOI: 10.1016/j.jpsychires.2023.02.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 02/15/2023] [Accepted: 02/23/2023] [Indexed: 03/13/2023]
Abstract
BACKGROUND Action tendencies are implicit cognitive and motivational states before an action is taken, such as feeling like hiding when experiencing shame or guilt, independent of the actions people decide to take. Such "action tendencies" are key to understanding the maladaptive impact of self-blame in depression. For example, feeling like "hiding" in a text-based task was previously associated with recurrence risk in remitted depression. Despite their functional importance, action tendencies have not been systematically investigated in current depression, which was the aim of this pre-registered study. METHODS We developed and validated the first virtual reality (VR) assessment of blame-related action tendencies and compared current depression (n = 98) with control participants (n = 40). The immersive VR-task, pre-programmed on devices sent to participants' homes, used hypothetical social interactions, in which either participants (self-agency) or their friend (other-agency) were described to have acted inappropriately. RESULTS Compared with controls, people with depression showed a maladaptive profile: particularly in the other-agency condition, rather than feeling like verbally attacking their friend, they were prone to feeling like hiding, and punishing themselves. Interestingly, feeling like punishing oneself was associated with a history of self-harm but not suicide attempts. CONCLUSIONS Current depression and self-harm history were linked with distinctive motivational signatures, paving the way for remote VR-based stratification and treatment.
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Affiliation(s)
- Suqian Duan
- Department of Psychological Medicine, Centre for Affective Disorders, UK
| | - Lucia Valmaggia
- Department of Psychology, UK; South London and Maudsley, NHS Trust, UK; Ku Leuven, Belgium
| | - Diede Fennema
- Department of Psychological Medicine, Centre for Affective Disorders, UK
| | - Jorge Moll
- Cognitive and Behavioral Neuroscience Unit, D'Or Institute for Research and Education (IDOR), 22280-080, Rio de Janeiro, RJ, Brazil; Scients Institute, USA
| | - Roland Zahn
- Department of Psychological Medicine, Centre for Affective Disorders, UK; South London and Maudsley, NHS Trust, UK.
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Harrison P, Carr E, Goldsmith K, Young A, Ashworth M, Fennema D, Duan S, Barrett BM, Zahn R. Antidepressant Advisor (ADeSS): a decision support system for antidepressant treatment for depression in UK primary care - a feasibility study. BMJ Open 2023; 13:e060516. [PMID: 36868594 PMCID: PMC9990646 DOI: 10.1136/bmjopen-2021-060516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 02/10/2023] [Indexed: 03/05/2023] Open
Abstract
OBJECTIVES To develop and probe the first computerised decision-support tool to provide antidepressant treatment guidance to general practitioners (GPs) in UK primary care. DESIGN A parallel group, cluster-randomised controlled feasibility trial, where individual participants were blind to treatment allocation. SETTING South London NHS GP practices. PARTICIPANTS Ten practices and eighteen patients with treatment-resistant current major depressive disorder. INTERVENTIONS Practices were randomised to two treatment arms: (a) treatment-as-usual, (b) computerised decision support tool. RESULTS Ten GP practices participated in the trial, which was within our target range (8-20). However, practice and patient recruitment were slower than anticipated and only 18 of 86 intended patients were recruited. This was due to fewer than expected patients being eligible for the study, as well as disruption resulting from the COVID-19 pandemic. Only one patient was lost to follow-up. There were no serious or medically important adverse events during the trial. GPs in the decision tool arm indicated moderate support for the tool. A minority of patients fully engaged with the mobile app-based tracking of symptoms, medication adherence and side effects. CONCLUSIONS Overall, feasibility was not shown in the current study and the following modifications would be needed to attempt to overcome the limitations found: (a) inclusion of patients who have only tried one Selective Serotonin Reuptake Inhibitor, rather than two, to improve recruitment and pragmatic relevance of the study; (b) approaching community pharmacists to implement tool recommendations rather than GPs; (c) further funding to directly interface between the decision support tool and self-reported symptom app; (d) increasing the geographic reach by not requiring detailed diagnostic assessments and replacing this with supported remote self-report. TRIAL REGISTRATION NUMBER NCT03628027.
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Affiliation(s)
- Phillippa Harrison
- Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Ewan Carr
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Kimberley Goldsmith
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Allan Young
- Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
- National Service for Affective Disorders, South London and Maudsley Mental Health NHS Trust, London, UK
| | - Mark Ashworth
- Department of Population Health Sciences, King's College London, London, UK
| | - Diede Fennema
- Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Suqian Duan
- Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Barbara M Barrett
- Department of Health Services & Population Research, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Roland Zahn
- Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
- National Service for Affective Disorders, South London and Maudsley Mental Health NHS Trust, London, UK
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Harrison P, Lawrence AJ, Wang S, Liu S, Xie G, Yang X, Zahn R. The Psychopathology of Worthlessness in Depression. Front Psychiatry 2022; 13:818542. [PMID: 35664464 PMCID: PMC9160466 DOI: 10.3389/fpsyt.2022.818542] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 04/22/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Despite common dissatisfaction with the syndromic heterogeneity of major depression, investigations into its symptom structure are scarce. Self-worthlessness/inadequacy is a distinctive and consistent symptom of major depression across cultures. AIMS We investigated whether self-worthlessness is associated with self-blaming attribution-related symptoms or is instead an expression of reduced positive feelings overall, as would be implied by reduced positive affect accounts of depression. METHODS 44,161 undergraduate students in Study 1, and 215 patients with current Major Depressive Disorder (MDD) and 237 age-matched healthy control participants in Study 2 completed the well-validated Symptom Check List-90. Depression-relevant items were used to construct regularized partial correlation networks with bootstrap estimates of network parameter variability. RESULTS Worthlessness co-occurred more strongly with other symptoms linked to self-blaming attributions (hopelessness, and self-blame), displaying a combined edge weight with these symptoms which was significantly stronger than the edge weight representing its connection with reduced positive emotion symptoms (such as reduced pleasure/interest/motivation, difference in edge weight sum in Study 1 = 2.95, in Study 2 = 1.64; 95% confidence intervals: Study 1: 2.6-3.4; Study 2: 0.02-3.5; Bonferroni-corrected p < 0.05). CONCLUSIONS This confirms the prediction of the revised learned helplessness model that worthlessness is most strongly linked to hopelessness and self-blame. In contrast, we did not find a strong and direct link between anhedonia items and a reduction in self-worth in either study. This supports worthlessness as a primary symptom rather than resulting from reduced positive affect.
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Affiliation(s)
- Phillippa Harrison
- Centre for Affective Disorders, Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Andrew J Lawrence
- Centre for Affective Disorders, Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Shu Wang
- Department of Psychology, Institute of Education, Hunan Agricultural University, Changsha, China
| | - Sixun Liu
- Department of Psychology, Institute of Education, Hunan Agricultural University, Changsha, China
| | - Guangrong Xie
- Key Laboratory of Psychiatry and Mental Health of Hunan Province, Mental Health Institute of the Second Xiangya Hospital, National Technology Institute of Psychiatry, Central South University, Changsha, China
| | - Xinhua Yang
- Centre for Affective Disorders, Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Roland Zahn
- Centre for Affective Disorders, Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,National Service for Affective Disorders, South London and Maudsley NHS Foundation Trust, London, United Kingdom
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