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Beltrán J, Jacob Y, Mehta M, Hossain T, Adams A, Fontaine S, Torous J, McDonough C, Johnson M, Delgado A, Murrough JW, Morris LS. Relationships between depression, anxiety, and motivation in the real-world: Effects of physical activity and screentime. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.08.06.24311477. [PMID: 39148830 PMCID: PMC11326346 DOI: 10.1101/2024.08.06.24311477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 08/17/2024]
Abstract
Background Mood and anxiety disorders are highly prevalent and comorbid worldwide, with variability in symptom severity that fluctuates over time. Digital phenotyping, a growing field that aims to characterize clinical, cognitive and behavioral features via personal digital devices, enables continuous quantification of symptom severity in the real world, and in real-time. Methods In this study, N=114 individuals with a mood or anxiety disorder (MA) or healthy controls (HC) were enrolled and completed 30-days of ecological momentary assessments (EMA) of symptom severity. Novel real-world measures of anxiety, distress and depression were developed based on the established Mood and Anxiety Symptom Questionnaire (MASQ). The full MASQ was also completed in the laboratory (in-lab). Additional EMA measures related to extrinsic and intrinsic motivation, and passive activity data were also collected over the same 30-days. Mixed-effects models adjusting for time and individual tested the association between real-world symptom severity EMA and the corresponding full MASQ sub-scores. A graph theory neural network model (DEPNA) was applied to all data to estimate symptom interactions. Results There was overall good adherence over 30-days (MA=69.5%, HC=71.2% completion), with no group difference (t(58)=0.874, p=0.386). Real-world measures of anxiety/distress/depression were associated with their corresponding MASQ measure within the MA group (t's > 2.33, p's < 0.024). Physical activity (steps) was negatively associated with real-world distress and depression (IRRs > 0.93, p's ≤ 0.05). Both intrinsic and extrinsic motivation were negatively associated with real-world distress/depression (IRR's > 0.82, p's < 0.001). DEPNA revealed that both extrinsic and intrinsic motivation significantly influenced other symptom severity measures to a greater extent in the MA group compared to the HC group (extrinsic/intrinsic motivation: t(46) = 2.62, p < 0.02, q FDR < 0.05, Cohen's d = 0.76; t(46) = 2.69, p < 0.01, q FDR < 0.05, Cohen's d = 0.78 respectively), and that intrinsic motivation significantly influenced steps (t(46) = 3.24, p < 0.003, q FDR < 0.05, Cohen's d = 0.94). Conclusions Novel real-world measures of anxiety, distress and depression significantly related to their corresponding established in-lab measures of these symptom domains in individuals with mood and anxiety disorders. Novel, exploratory measures of extrinsic and intrinsic motivation also significantly related to real-world mood and anxiety symptoms and had the greatest influencing degree on patients' overall symptom profile. This suggests that measures of cognitive constructs related to drive and activity may be useful in characterizing phenotypes in the real-world.
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Affiliation(s)
- J. Beltrán
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY
- Nash Family Department of Neuroscience & Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Y. Jacob
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY
| | - M. Mehta
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY
- The Laureate Institute for Brain Research, Tulsa, OK
| | - T. Hossain
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY
- Tufts University, Boston, MA
| | - A. Adams
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY
| | - S. Fontaine
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY
| | - J. Torous
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - C. McDonough
- Department of Population Health Science & Policy, Icahn School of Medicine at Mount Sinai, New York, NY
| | - M. Johnson
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - A. Delgado
- Department of Population Health Science & Policy, Icahn School of Medicine at Mount Sinai, New York, NY
| | - J. W. Murrough
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY
- Nash Family Department of Neuroscience & Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY
- VISN 2 Mental Illness Research, Education and Clinical Center (MIRECC), James J. Peters VA Medical Center, Bronx, NY
| | - L. S. Morris
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY
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Schumacher L, Burger J, Echterhoff J, Kriston L. Methodological and Statistical Practices of Using Symptom Networks to Evaluate Mental Health Interventions: A Review and Reflections. MULTIVARIATE BEHAVIORAL RESEARCH 2024; 59:663-676. [PMID: 38733300 DOI: 10.1080/00273171.2024.2335401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2024]
Abstract
The network approach to psychopathology, which assesses associations between individual symptoms, has recently been applied to evaluate treatments for mental disorders. While various options for conducting network analyses in intervention research exist, an overview and an evaluation of the various approaches are currently missing. Therefore, we conducted a review on network analyses in intervention research. Studies were included if they constructed a symptom network, analyzed data that were collected before, during or after treatment of a mental disorder, and yielded information about the treatment effect. The 56 included studies were reviewed regarding their methodological and analytic strategies. About half of the studies based on data from randomized trials conducted a network intervention analysis, while the other half compared networks between treatment groups. The majority of studies estimated cross-sectional networks, even when repeated measures were available. All but five studies investigated networks on the group level. This review highlights that current methodological practices limit the information that can be gained through network analyses in intervention research. We discuss the strength and limitations of certain methodological and analytic strategies and propose that further work is needed to use the full potential of the network approach in intervention research.
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Affiliation(s)
- Lea Schumacher
- Department of Medical Psychology, University Medical Center Hamburg-Eppendorf
| | - Julian Burger
- Department of Psychological Methods, University of Amsterdam
- University Medical Center Groningen, University of Groningen
- Centre for Urban Mental Health, University of Amsterdam
| | - Jette Echterhoff
- Department of Medical Psychology, University Medical Center Hamburg-Eppendorf
| | - Levente Kriston
- Department of Medical Psychology, University Medical Center Hamburg-Eppendorf
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3
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Deflorin HM, Söker MS, Bauer S, Moessner M. Evaluation of symptom network density as a predictor of treatment outcome of inpatient psychotherapy. Psychother Res 2024:1-9. [PMID: 38924474 DOI: 10.1080/10503307.2024.2365235] [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: 02/09/2024] [Accepted: 05/31/2024] [Indexed: 06/28/2024] Open
Abstract
OBJECTIVE The network approach implies that the persistence of a mental disorder is rooted in a dense causal interconnection of symptoms. This study attempts to replicate and generalize previous findings in support of the assumption that higher density predicts poorer outcomes. The study examines the predictive value of network density at admission for recovery after inpatient treatment. METHOD N = 1375 adult patients with various forms of mental illness were classified as recovered (28%) versus not recovered (72%) after inpatient treatment. Recovery was defined as clinically significant improvement in impairment from admission to discharge. Networks of transdiagnostic symptoms at the time of admission were estimated. Network density, measured by global strength d, was compared between the recovered and not recovered groups using a permutation test. RESULTS Global strength at the time of admission tended to be higher in the No-Recovery group (d = 10.83) than the Recovery group (d = 7.53) but the association was not significant (p = .12). Similar results were found after controlling for group size and symptom severity. CONCLUSION The predictive value of network density for treatment outcomes remains unclear. There might be structural differences between the groups that the current measure of network density does not adequately represent.
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Affiliation(s)
- Hanna M Deflorin
- Center for Psychotherapy Research, University Hospital Heidelberg, Heidelberg, Germany
| | - Mara S Söker
- Center for Psychotherapy Research, University Hospital Heidelberg, Heidelberg, Germany
| | - Stephanie Bauer
- Center for Psychotherapy Research, University Hospital Heidelberg, Heidelberg, Germany
- German Center for Mental Health (DZPG), partner site Mannheim/Heidelberg/Ulm, Germany
- Institute of Psychology, Heidelberg University, Heidelberg, Germany
| | - Markus Moessner
- Center for Psychotherapy Research, University Hospital Heidelberg, Heidelberg, Germany
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Ebrahimi OV, Borsboom D, Hoekstra RHA, Epskamp S, Ostinelli EG, Bastiaansen JA, Cipriani A. Towards precision in the diagnostic profiling of patients: leveraging symptom dynamics as a clinical characterisation dimension in the assessment of major depressive disorder. Br J Psychiatry 2024; 224:157-163. [PMID: 38584324 PMCID: PMC11039556 DOI: 10.1192/bjp.2024.19] [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: 08/13/2023] [Revised: 12/14/2023] [Accepted: 01/16/2024] [Indexed: 04/09/2024]
Abstract
BACKGROUND International guidelines present overall symptom severity as the key dimension for clinical characterisation of major depressive disorder (MDD). However, differences may reside within severity levels related to how symptoms interact in an individual patient, called symptom dynamics. AIMS To investigate these individual differences by estimating the proportion of patients that display differences in their symptom dynamics while sharing the same overall symptom severity. METHOD Participants with MDD (n = 73; mean age 34.6 years, s.d. = 13.1; 56.2% female) rated their baseline symptom severity using the Inventory for Depressive Symptomatology Self-Report (IDS-SR). Momentary indicators for depressive symptoms were then collected through ecological momentary assessments five times per day for 28 days; 8395 observations were conducted (average per person: 115; s.d. = 16.8). Each participant's symptom dynamics were estimated using person-specific dynamic network models. Individual differences in these symptom relationship patterns in groups of participants sharing the same symptom severity levels were estimated using individual network invariance tests. Subsequently, the overall proportion of participants that displayed differential symptom dynamics while sharing the same symptom severity was calculated. A supplementary simulation study was conducted to investigate the accuracy of our methodology against false-positive results. RESULTS Differential symptom dynamics were identified across 63.0% (95% bootstrapped CI 41.0-82.1) of participants within the same severity group. The average false detection of individual differences was 2.2%. CONCLUSIONS The majority of participants within the same depressive symptom severity group displayed differential symptom dynamics. Examining symptom dynamics provides information about person-specific psychopathological expression beyond severity levels by revealing how symptoms aggravate each other over time. These results suggest that symptom dynamics may be a promising new dimension for clinical characterisation, warranting replication in independent samples. To inform personalised treatment planning, a next step concerns linking different symptom relationship patterns to treatment response and clinical course, including patterns related to spontaneous recovery and forms of disorder progression.
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Affiliation(s)
- Omid V. Ebrahimi
- Department of Experimental Psychology, University of Oxford, Oxford, UK; and Department of Psychology , University of Oslo, Oslo, Norway
| | - Denny Borsboom
- Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | - Ria H. A. Hoekstra
- Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | - Sacha Epskamp
- Department of Psychology, National University of Singapore, Singapore, Singapore
| | - Edoardo G. Ostinelli
- Department of Psychiatry, University of Oxford, Oxford, UK; Oxford Precision Psychiatry Laboratory, NIHR Oxford Health Biomedical Research Centre, Oxford, UK; and Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK
| | - Jojanneke A. Bastiaansen
- Interdisciplinary Center Psychopathology and Emotion Regulation, Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands; and Friesland Mental Health Care Services, Leeuwarden, The Netherlands
| | - Andrea Cipriani
- Department of Psychiatry, University of Oxford, Oxford, UK; Oxford Precision Psychiatry Laboratory, NIHR Oxford Health Biomedical Research Centre, Oxford, UK; and Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK
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Jurado-González F, García-Torres F, Contreras A, Muñoz-Navarro R, González-Blanch C, Adrián Medrano L, Ruiz-Rodríguez P, Moreno EM, Pérez-Dueñas C, Cano-Vindel A, Moriana JA. Comparing psychological versus pharmacological treatment in emotional disorders: A network analysis. PLoS One 2024; 19:e0301675. [PMID: 38568925 PMCID: PMC10990220 DOI: 10.1371/journal.pone.0301675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 03/11/2024] [Indexed: 04/05/2024] Open
Abstract
Transdiagnostic group cognitive behavioural therapy (TD-GCBT) is more effective in improving symptoms and severity of emotional disorders (EDs) than treatment as usual (TAU; usually pharmacological treatment). However, there is little research that has examined the effects of these treatments on specific symptoms. This study used Network Intervention Analysis (NIA) to investigate the direct and differential effects of TD-GCBT + TAU and TAU on specific symptoms of anxiety and depression. Data are from a multicentre randomised clinical trial (N = 1061) comparing TD-GCBT + TAU versus TAU alone for EDs. The networks included items from the PHQ-9 (depression) and GAD-7 (anxiety) questionnaire and mixed graphical models were estimated at pre-treatment, post-treatment and 3-, 6- and 12-month follow-up. Results revealed that TD-GCBT + TAU was associated with direct effects, mainly on several anxiety symptoms and depressed mood after treatment. New direct effects on other depressive symptoms emerged during the follow-up period promoted by TD-GCBT compared to TAU. Our results suggest that the improvement of anxiety symptoms after treatment might precipitate a wave of changes that favour a decrease in depressive symptomatology. NIA is a methodology that can provide fine-grained insight into the likely pathways through which treatments exert their effects.
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Affiliation(s)
- Francisco Jurado-González
- Department of Psychology, University of Cordoba/Maimonides Institute for Biomedical Research of Cordoba (IMIBIC)/Reina Sofia University Hospital, Cordoba, Spain
| | - Francisco García-Torres
- Department of Psychology, University of Cordoba/Maimonides Institute for Biomedical Research of Cordoba (IMIBIC)/Reina Sofia University Hospital, Cordoba, Spain
| | - Alba Contreras
- University Catholique San Antonio of Murcia, Murcia, Spain
| | - Roger Muñoz-Navarro
- Department of Psychology and Sociology, Faculty of Social and Human Sciences, University of Zaragoza, Teruel, Spain
| | - César González-Blanch
- Mental Health Centre, Marqués de Valdecilla University Hospital—IDIVAL, Santander, Cantabria, Spain
| | | | - Paloma Ruiz-Rodríguez
- Castilla La Nueva Primary Care Centre, Health Service of Madrid, Fuenlabrada, Madrid, Spain
| | - Eliana M. Moreno
- Department of Psychology, University of Cordoba/Maimonides Institute for Biomedical Research of Cordoba (IMIBIC)/Reina Sofia University Hospital, Cordoba, Spain
| | - Carolina Pérez-Dueñas
- Department of Psychology, University of Cordoba/Maimonides Institute for Biomedical Research of Cordoba (IMIBIC)/Reina Sofia University Hospital, Cordoba, Spain
| | | | - Juan A. Moriana
- Department of Psychology, University of Cordoba/Maimonides Institute for Biomedical Research of Cordoba (IMIBIC)/Reina Sofia University Hospital, Cordoba, Spain
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Guan M, Liu J, Li X, Cai M, Bi J, Zhou P, Wang Z, Wu S, Guo L, Wang H. The impact of depressive and anxious symptoms on non-suicidal self-injury behavior in adolescents: a network analysis. BMC Psychiatry 2024; 24:229. [PMID: 38532354 DOI: 10.1186/s12888-024-05599-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 02/08/2024] [Indexed: 03/28/2024] Open
Abstract
PURPOSE Conceptualizing adolescent NSSI and emotional symptoms as a system of causal elements could provide valuable insights into the development of non-suicidal self-injury (NSSI) in adolescent. This study aimed to explore the intricate relationship between NSSI, depressive symptoms, and anxious symptoms in adolescents, identifying key symptoms to establish a theoretical foundation for targeted and effective interventions addressing NSSI behaviors in this population. METHODS A total of 412 adolescents with NSSI behaviors were selected from outpatients. Generalized anxious disorder scale (GAD-7) and patient health questionnaire (PHQ-9) were employed to measure anxious symptoms and depressive symptoms, respectively. The adolescent non-suicidal self-injury assessment questionnaire (ANSSIAQ) was used to evaluate NSSI of adolescent. Using network analysis, the NSSI、depressive symptoms and anxious symptoms network were constructed to identify the most central symptoms and the bridge symptoms within the networks. RESULTS The findings revealed that the NSSI functional nodes "coping with sadness and disappointment" and "relieving stress or anxious" exhibited the strongest correlation, with a regularized partial correlation coefficient was 0.401. The symptoms "having a desire to harm oneself and unable to stop" and the node "depressive symptoms" had the highest strength centrality in the network, and their strength centrality indices were 1.267 and 1.263, respectively. The bridge nodes were "having a desire to harm oneself and unable to stop" and "expressing one's despair and hopelessness", with expected impact indices of 0.389 and 0.396, respectively. CONCLUSION In adolescents, the network revealed a closer connection between NSSI and depressive symptoms. "The desire to not stop hurting oneself" is not only broadly connected to other nodes but also could activate other nodes to maintain NSSI behavior. In light of these findings, precise targets for pharmacological treatment, psychotherapy, physical therapy, etc., are identified for adolescents with NSSI. Targeting this specific aspect in interventions may contribute to preventing and reducing NSSI behavior in adolescents.
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Affiliation(s)
- Muzhen Guan
- Department of Mental Health, Xi'an Medical College, 710021, Xi'an, China
- Department of psychiatry, the first affiliated hospital, Air Force Medical University, 710032, Xi'an, China
| | - Junchang Liu
- Department of psychiatry, the first affiliated hospital, Air Force Medical University, 710032, Xi'an, China
| | - Xinhong Li
- Department of General Practice, Tangdu Hospital, Air Force Medical University, Xi'an, China
| | - Min Cai
- Department of psychiatry, the first affiliated hospital, Air Force Medical University, 710032, Xi'an, China
| | - Jing Bi
- Department of science, Xi'an Guanmiao primary school, 710086, Xi'an, China
| | - Ping Zhou
- Department of psychiatry, the first affiliated hospital, Air Force Medical University, 710032, Xi'an, China
| | - Zhongheng Wang
- Department of psychiatry, the first affiliated hospital, Air Force Medical University, 710032, Xi'an, China
| | - Songwen Wu
- Department of Mental Health, Xi'an Medical College, 710021, Xi'an, China.
| | - Li Guo
- Department of psychiatry, the first affiliated hospital, Air Force Medical University, 710032, Xi'an, China.
| | - Huaning Wang
- Department of psychiatry, the first affiliated hospital, Air Force Medical University, 710032, Xi'an, China.
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7
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Echterhoff J, Kriston L, Klein JP, Härter M, Schramm E, Schumacher L. Symptom-specific improvement across therapies and their putative mediators: A mediation network intervention analysis. Psychother Res 2024:1-12. [PMID: 38431848 DOI: 10.1080/10503307.2024.2320349] [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: 06/09/2023] [Accepted: 02/12/2024] [Indexed: 03/05/2024] Open
Abstract
OBJECTIVE We evaluated differential treatment effects on specific symptoms and their mediators for Cognitive Behavioral Analysis System of Psychotherapy (CBASP) and Supportive Psychotherapy (SP) in persistently depressed patients. METHOD We conducted a Bayesian mediation network intervention analysis with data from a randomized controlled trial comparing CBASP and SP. Three networks were calculated to investigate (1) differential treatment effects on specific symptoms, (2) differential treatment effects on the potential mediators interpersonal problems and social functioning, and (3) associations between change in symptoms and change in the potential mediators. RESULTS First, we found no evidence that CBASP more strongly improves most depressive symptoms specifically, except minimal evidence of symptom-specific effects on sleeping problems and self-esteem. Second, no and minimal evidence for differential treatment effects on interpersonal problems and social functioning was shown, respectively. Third, interpersonal problems and social functioning were strongly related to depressive symptoms. CONCLUSION While CBASP showed superior treatment effects for overall symptom severity, this treatment might not be superior in improving specific symptoms and the potential mediators interpersonal problems and social functioning. Still, interpersonal problems and social functioning seem to play an important role for depression symptoms. Future research needs to further investigate potential working mechanisms of CBASP.Trial registration: ClinicalTrials.gov identifier: NCT00970437.
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Affiliation(s)
- Jette Echterhoff
- Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Levente Kriston
- Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jan Philipp Klein
- Department of Psychiatry, Psychosomatics and Psychotherapy, University of Lübeck, Lübeck, Germany
| | - Martin Härter
- Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Elisabeth Schramm
- Department of Psychiatry and Psychotherapy, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Lea Schumacher
- Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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8
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Tseng VWS, Tharp JA, Reiter JE, Ferrer W, Hong DS, Doraiswamy PM, Nickels S. Identifying a stable and generalizable factor structure of major depressive disorder across three large longitudinal cohorts. Psychiatry Res 2024; 333:115702. [PMID: 38219346 DOI: 10.1016/j.psychres.2023.115702] [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: 08/23/2023] [Revised: 12/21/2023] [Accepted: 12/26/2023] [Indexed: 01/16/2024]
Abstract
The Patient Health Questionnaire 9 (PHQ-9) is the current standard outpatient screening tool for measuring and tracking the nine symptoms of major depressive disorder (MDD). While the PHQ-9 was originally conceptualized as a unidimensional measure, it has become clear that MDD is not a monolithic construct, as evidenced by high comorbidities with other theoretically distinct diagnoses and common symptom overlap between depression and other diagnoses. Therefore, identifying reliable and temporally stable subfactors of depressive symptoms could allow research and care to be tailored to different depression phenotypes. This study improved on previous factor analysis studies of the PHQ-9 by leveraging samples that were clinical (participants with depression only), large (N = 1483 depressed individuals in total), longitudinal (up to 5 years), and from three diverse (matching racial distribution of the United States) datasets. By refraining from assuming the number of factors or item loadings a priori, and thus utilizing a solely data-driven approach, we identified a ranked list of best-fitting models, with the parsimonious one achieving good model fit across studies at most timepoints (average TLI >= 0.90). This model categorizes the PHQ-9 items into four factors: (1) Affective (Anhedonia + Depressed Mood), (2) Somatic (Sleep + Fatigue + Appetite), (3) Internalizing (Worth/Guilt + Suicidality), (4) Sensorimotor (Concentration + Psychomotor), which may be used to further precision psychiatry by testing factor-specific interventions in research and clinical settings.
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Affiliation(s)
- Vincent W S Tseng
- Verily Life Sciences LLC, 269 E Grand Ave, South San Francisco, CA, USA.
| | - Jordan A Tharp
- Verily Life Sciences LLC, 269 E Grand Ave, South San Francisco, CA, USA
| | - Jacob E Reiter
- Verily Life Sciences LLC, 269 E Grand Ave, South San Francisco, CA, USA; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Road, Stanford, CA, USA
| | - Weston Ferrer
- Verily Life Sciences LLC, 269 E Grand Ave, South San Francisco, CA, USA
| | - David S Hong
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Road, Stanford, CA, USA
| | - P Murali Doraiswamy
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA; Duke Institute for Brain Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Stefanie Nickels
- Verily Life Sciences LLC, 269 E Grand Ave, South San Francisco, CA, USA
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Castro D, Gysi D, Ferreira F, Ferreira-Santos F, Ferreira TB. Centrality measures in psychological networks: A simulation study on identifying effective treatment targets. PLoS One 2024; 19:e0297058. [PMID: 38422083 PMCID: PMC10903921 DOI: 10.1371/journal.pone.0297058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 12/26/2023] [Indexed: 03/02/2024] Open
Abstract
The network theory of psychopathology suggests that symptoms in a disorder form a network and that identifying central symptoms within this network might be important for an effective and personalized treatment. However, recent evidence has been inconclusive. We analyzed contemporaneous idiographic networks of depression and anxiety symptoms. Two approaches were compared: a cascade-based attack where symptoms were deactivated in decreasing centrality order, and a normal attack where symptoms were deactivated based on original centrality estimates. Results showed that centrality measures significantly affected the attack's magnitude, particularly the number of components and average path length in both normal and cascade attacks. Degree centrality consistently had the highest impact on the network properties. This study emphasizes the importance of considering centrality measures when identifying treatment targets in psychological networks. Further research is needed to better understand the causal relationships and predictive capabilities of centrality measures in personalized treatments for mental disorders.
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Affiliation(s)
- Daniel Castro
- University of Maia, Maia, Portugal
- Center for Psychology at University of Porto, Porto, Portugal
| | - Deisy Gysi
- Center for Complex Network Research, Northeastern University, Boston, Massachusetts, United States of America
| | - Filipa Ferreira
- University of Maia, Maia, Portugal
- Center for Psychology at University of Porto, Porto, Portugal
| | - Fernando Ferreira-Santos
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Education Sciences, University of Porto, Porto, Portugal
| | - Tiago Bento Ferreira
- University of Maia, Maia, Portugal
- Center for Psychology at University of Porto, Porto, Portugal
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10
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Bauer-Staeb C, Griffith E, Faraway JJ, Button KS. Trajectories of depression and generalised anxiety symptoms over the course of cognitive behaviour therapy in primary care: an observational, retrospective cohort. Psychol Med 2023; 53:4648-4656. [PMID: 35708178 DOI: 10.1017/s0033291722001556] [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: 11/07/2022]
Abstract
BACKGROUND Cognitive-behavioural therapy (CBT) has been shown to be an effective treatment for depression and anxiety. However, most research has focused on the sum scores of symptoms. Relatively little is known about how individual symptoms respond. METHODS Longitudinal models were used to explore how depression and generalised anxiety symptoms behave over the course of CBT in a retrospective, observational cohort of patients from primary care settings (n = 5306). Logistic mixed models were used to examine the probability of being symptom-free across CBT appointments, using the 9-item Patient Health Questionnaire and the 7-item Generalised Anxiety Disorder scale as measures. RESULTS All symptoms improve across CBT treatment. The results suggest that low mood/hopelessness and guilt/worthlessness improved quickest relative to other depressive symptoms, with sleeping problems, appetite changes, and psychomotor retardation/agitation improving relatively slower. Uncontrollable worry and too much worry were the anxiety symptoms that improved fastest; irritability and restlessness improved the slowest. CONCLUSIONS This research suggests there is a benefit to examining symptoms rather than sum scores alone. Investigations of symptoms provide the potential for precision psychiatry and may explain some of the heterogeneity observed in clinical outcomes when only sum scores are considered.
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Affiliation(s)
| | - Emma Griffith
- Department of Psychology, University of Bath, Bath, UK
- Avon and Wiltshire NHS Mental Health Partnership Trust, Bath, UK
| | - Julian J Faraway
- Department of Mathematical Sciences, University of Bath, Bath, UK
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O'Driscoll C, Buckman JEJ, Saunders R, Ellard S, Naqvi SA, Singh S, Wheatley J, Pilling S. Symptom-specific effects of counselling for depression compared to cognitive-behavioural therapy. BMJ MENTAL HEALTH 2023; 26:e300621. [PMID: 36792174 PMCID: PMC10035778 DOI: 10.1136/bmjment-2022-300621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 02/08/2023] [Indexed: 02/17/2023]
Abstract
BACKGROUND Cognitive-behavioural therapy (CBT) and counselling for depression (CfD) are recommended first-line treatments for depression. While they approach change differently, there is little understanding of the impact those approaches have on change during treatment. OBJECTIVES This study aimed to identify whether CBT and CfD target different symptoms and explore the implications of modelling choices when quantifying change during treatment. METHODS Symptom-specific effects of treatment were identified using moderated network modelling. This was a retrospective cohort study of 12 756 individuals who received CBT or CfD for depression in primary/community care psychological therapy services in England. Change was modelled several ways within the whole sample and a propensity score matched sample (n=3446). FINDINGS CBT for depression directly affected excessive worry, trouble relaxing and apprehensive expectation and had a stronger influence on changes between suicidal ideation and concentration. CfD had a stronger direct influence on thoughts of being a failure and on the associated change between being an easily annoyed and apprehensive of expectation. There were inconsistencies when modelling change using the first and second appointments as the baseline. Residual score models produced more conservative findings than models using difference scores. CONCLUSIONS CfD and CBT for depression have differential effects on symptoms demonstrating specific mechanisms of change. CLINICAL IMPLICATIONS CBT was uniquely associated with changes in symptoms associated with anxiety and may be better suited to those with anxiety symptoms comorbid to their depression. When assessing change, the baseline should be the first therapy session, not the pretreatment assessment. Residual change scores should be preferred over difference score methods.
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Affiliation(s)
- Ciarán O'Driscoll
- CORE Data Lab, Centre for Outcomes Research and Effectiveness, Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Joshua E J Buckman
- CORE Data Lab, Centre for Outcomes Research and Effectiveness, Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
- iCope-Camden & Islington Psychological Therapies Services, Camden and Islington NHS Foundation Trust, London, UK
| | - Rob Saunders
- CORE Data Lab, Centre for Outcomes Research and Effectiveness, Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | | | - Syed Ali Naqvi
- North East London NHS Foundation Trust, Rainham, Havering, UK
| | - Satwant Singh
- North East London NHS Foundation Trust, Rainham, Havering, UK
| | - Jon Wheatley
- Talk Changes: City and Hackney IAPT Service, Homerton University Hospital NHS Foundation Trust, London, UK
| | - Stephen Pilling
- CORE Data Lab, Centre for Outcomes Research and Effectiveness, Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
- Camden & Islington NHS Foundation Trust, London, UK
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12
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Boschloo L, Hieronymus F, Lisinski A, Cuijpers P, Eriksson E. The complex clinical response to selective serotonin reuptake inhibitors in depression: a network perspective. Transl Psychiatry 2023; 13:19. [PMID: 36681669 PMCID: PMC9867733 DOI: 10.1038/s41398-022-02285-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 11/29/2022] [Accepted: 12/08/2022] [Indexed: 01/22/2023] Open
Abstract
The clinical response to selective serotonin reuptake inhibitors (SSRIs) in depression takes weeks to be fully developed and is still not entirely understood. This study aimed to determine the direct and indirect effects of SSRIs relative to a placebo control condition on clinical symptoms of depression. We included data of 8262 adult patients with major depression participating in 28 industry-sponsored US Food and Drug Administration (FDA) registered trials on the efficacy of SSRIs. Clinical symptoms of depression were assessed by the 17 separate items of the Hamilton Depression Rating Scale (HDRS) after 1, 2, 3, 4 and 6 weeks of treatment. Network estimation techniques showed that SSRIs had quick and strong direct effects on the two affective symptoms, i.e., depressed mood and psychic anxiety; direct effects on other symptoms were weak or absent. Substantial indirect effects were found for all four cognitive symptoms, which showed larger reductions in the SSRI condition but mainly in patients reporting larger reductions in depressed mood. Smaller indirect effects were found for two arousal/somatic symptoms via the direct effect on psychic anxiety. Both direct and indirect effects on sleep problems and most arousal/somatic symptoms were weak or absent. In conclusion, our study revealed that SSRIs primarily caused reductions in affective symptoms, which were related to reductions in mainly cognitive symptoms and some specific arousal/somatic symptoms. The results can contribute to disclosing the mechanisms of action of SSRIs, and has the potential to facilitate early detection of responders and non-responders in clinical practice.
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Affiliation(s)
- Lynn Boschloo
- Department of Clinical Psychology, Utrecht University, Utrecht, The Netherlands. .,Department of Clinical, Neuro, and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
| | - Fredrik Hieronymus
- grid.8761.80000 0000 9919 9582Department of Pharmacology, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Alexander Lisinski
- grid.8761.80000 0000 9919 9582Department of Pharmacology, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Pim Cuijpers
- grid.12380.380000 0004 1754 9227Department of Clinical, Neuro, and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands ,grid.7399.40000 0004 1937 1397International Institute for Psychotherapy, Babeș-Bolyai University, Cluj-Napoca, Romania
| | - Elias Eriksson
- grid.8761.80000 0000 9919 9582Department of Pharmacology, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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13
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Imperiale MN, Lieb R, Calkins ME, Meinlschmidt G. Transdiagnostic symptom networks in relation to mental health service use in community youth. Clin Psychol Psychother 2023; 30:119-130. [PMID: 36059253 PMCID: PMC10087894 DOI: 10.1002/cpp.2782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 07/28/2022] [Accepted: 07/31/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE The objective of this study is to scrutinize whether psychopathology symptom networks differ between those with and without lifetime: treatment seeking, treatment and treatment of longer duration. METHODS We created non-exclusive groups of subjects with versus without lifetime treatment seeking, treatment and treatment of mid-long-term duration. We estimated Ising models and carried out network comparison tests (NCTs) to compare (a) overall connectivity and (b) network structure. Furthermore, we examined node strength. We used propensity score matching (PSM) to minimize potential confounding by indication for service use. RESULTS Based on data from 9,172 participants, there were no statistically significant differences in overall connectivity and network structure in those with versus without lifetime: treatment seeking (p = .75 and p = .82, respectively), treatment (p = .63 and p = .49, respectively) and treatment of mid-longterm duration (p = .15 and p = .62, respectively). Notably, comparing networks with versus without service use consistently revealed higher node strength in 'obsessions' and 'aggression' and lower node strength in 'elevated mood' in all networks with service use. CONCLUSIONS Findings suggest that after adjusting for potential confounding by indication for service use, there was no indication of an association in overall connectivity or network structure for lifetime treatment seeking, treatment and treatment of longer duration. However, selected structurally important symptoms differed consistently in all three comparisons. Our findings highlight the potential of network analysis methods to examine treatment mechanisms and outcomes. Specifically, more granular network characteristics on the node level may complement and enrich traditional outcomes in clinical research.
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Affiliation(s)
- Marina N Imperiale
- Division of Clinical Psychology and Epidemiology, Department of Psychology, University of Basel, Basel, Switzerland.,Novartis Institutes for Biomedical Research, Basel, Switzerland
| | - Roselind Lieb
- Division of Clinical Psychology and Epidemiology, Department of Psychology, University of Basel, Basel, Switzerland
| | - Monica E Calkins
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Gunther Meinlschmidt
- Division of Clinical Psychology and Epidemiology, Department of Psychology, University of Basel, Basel, Switzerland.,Department of Clinical Psychology and Cognitive Behavioral Therapy, International Psychoanalytic University, Berlin, Germany.,Department of Psychosomatic Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
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14
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Lee M, Choi H, Shin J, Suh HS. The Effects of Adding Art Therapy to Ongoing Antidepressant Treatment in Moderate-to-Severe Major Depressive Disorder: A Randomized Controlled Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 20:91. [PMID: 36612412 PMCID: PMC9819126 DOI: 10.3390/ijerph20010091] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 12/04/2022] [Accepted: 12/15/2022] [Indexed: 06/17/2023]
Abstract
This randomized controlled study aimed to investigate the effects of art psychotherapy on moderate-to-severe major depressive disorder (MDD). Forty-two MDD patients were recruited from a psychiatric outpatient clinic in Seoul, the Republic of Korea. Participants were allocated on a randomized, open-label basis to either an experimental group, wherein they were treated with art psychotherapy added to pharmacotherapy, or a control group, wherein they were treated with pharmacotherapy alone. Pre- and post-test measures of the Hamilton Depression Rating Scale, Beck Depression Inventory-II, and remission rates were measured. The results indicate that patients treated with art psychotherapy and ongoing pharmacotherapy showed slightly greater improvement when compared with pharmacotherapy alone in moderate-to-severe MDD. These results suggest that art psychotherapy could be an effective add-on strategy for the treatment of moderate-to-severe MDD. However, a rigorous test would facilitate a better understanding of art psychotherapy as an add-on strategy for MDD treatment.
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Affiliation(s)
- Myungjoo Lee
- Department of Medicine, Graduate School, Cha University, Seongnam 13488, Republic of Korea
| | - Han Choi
- Department of Medicine, Graduate School, Cha University, Seongnam 13488, Republic of Korea
- Graduate School of Art Therapy, Cha University, Seongnam 13488, Republic of Korea
| | - Jiwon Shin
- Department of Medicine, Graduate School, Cha University, Seongnam 13488, Republic of Korea
| | - Ho-Suk Suh
- Department of Medicine, Graduate School, Cha University, Seongnam 13488, Republic of Korea
- Department of Psychiatry, CHA Gangnam Medical Center, Cha University, Seoul 135913, Republic of Korea
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15
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Gao L, Zheng WY, Yang WL, Zhang XR. Drug-drug salt forms of vortioxetine with mefenamic acid and tolfenamic acid. J Mol Struct 2022. [DOI: 10.1016/j.molstruc.2022.133725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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16
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Chambon M, Dalege J, Waldorp LJ, Van der Maas HLJ, Borsboom D, van Harreveld F. Tailored interventions into broad attitude networks towards the COVID-19 pandemic. PLoS One 2022; 17:e0276439. [PMID: 36301880 PMCID: PMC9612523 DOI: 10.1371/journal.pone.0276439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 10/07/2022] [Indexed: 11/29/2022] Open
Abstract
This study examines how broad attitude networks are affected by tailored interventions aimed at variables selected based on their connectiveness with other variables. We first computed a broad attitude network based on a large-scale cross-sectional COVID-19 survey (N = 6,093). Over a period of approximately 10 weeks, participants were invited five times to complete this survey, with the third and fifth wave including interventions aimed at manipulating specific variables in the broad COVID-19 attitude network. Results suggest that targeted interventions that yield relatively strong effects on variables central to a broad attitude network have downstream effects on connected variables, which can be partially explained by the variables the interventions were aimed at. We conclude that broad attitude network structures can reveal important relations between variables that can help to design new interventions.
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Affiliation(s)
- Monique Chambon
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | - Jonas Dalege
- Santa Fe Institute, Santa Fe, New Mexico, United States of America
| | - Lourens J. Waldorp
- Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | | | - Denny Borsboom
- Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | - Frenk van Harreveld
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
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17
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The network analysis of depressive symptoms before and after two weeks of antidepressant treatment. J Affect Disord 2022; 299:126-134. [PMID: 34838606 DOI: 10.1016/j.jad.2021.11.059] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 11/19/2021] [Accepted: 11/22/2021] [Indexed: 12/17/2022]
Abstract
BACKGROUND A substantial proportion of patients do not benefit from selective serotonin reuptake inhibitors (SSRIs). We used network analysis to examine changes in symptom associations over time to identify SSRIs treatment targets for patients with major depressive disorder (MDD). METHODS This study was a post-hoc analysis of data originated from the 2-week open-label phase of a multicenter clinical trial. A total of 474 participants who completed 2-week paroxetine treatment and subsequent evaluation were included in this analysis. The sample was divided into early improvement (a reduction of the HAMD-17 total score ⩾20% at week 2) and not early improvement. The network analysis was performed to compare the pattern of relationships among depressive symptoms at baseline and endpoint. In addition, we compared the network structure of the participants who achieved early improvement with those without early improvement. RESULTS We found that the network structure and global strength increased significantly from baseline to endpoint (P<0.05). The baseline network of early improvers was more strongly connected than that of the participants who did not reach early improvement, and the global strength was significantly different (P = 0.049). Psychological anxiety and depressed mood were central symptoms of the early improvers, while somatic anxiety, insomnia, gastrointestinal symptoms and feelings of guilt were central in the network among the participants who did not show early improvement. CONCLUSIONS The connectivity of symptom network significantly increased with treatment. The baseline network connectivity of symptoms is tighter in early improvers than those without early improvement, and their central symptoms are different.
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18
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Lunansky G, Naberman J, van Borkulo CD, Chen C, Wang L, Borsboom D. Intervening on psychopathology networks: Evaluating intervention targets through simulations. Methods 2021; 204:29-37. [PMID: 34793976 DOI: 10.1016/j.ymeth.2021.11.006] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 10/30/2021] [Accepted: 11/11/2021] [Indexed: 01/16/2023] Open
Abstract
Identifying the different influences of symptoms in dynamic psychopathology models may hold promise for increasing treatment efficacy in clinical applications. Dynamic psychopathology models study the behavioral patterns of symptom networks, where symptoms mutually enforce each other. Interventions could be tailored to specific symptoms that are most effective at lowering symptom activity or that hinder the further development of psychopathology. Simulating interventions in psychopathology network models fits in a novel tradition where symptom-specific perturbations are used as in silico interventions. Here, we present the NodeIdentifyR algorithm (NIRA) to identify the projected most efficient, symptom-specific intervention target in a network model (i.e., the Ising model). We implemented NIRA in a freely available R package. The technique studies the projected effects of symptom-specific interventions by simulating data while symptom parameters (i.e., thresholds) are systematically altered. The projected effect of these interventions is defined in terms of the expected change in overall symptom activity across simulations. With this algorithm, it is possible to study (1) whether symptoms differ in their projected influence on the behavior of the symptom network and, if so, (2) which symptom has the largest projected effect in lowering or increasing overall symptom activation. As an illustration, we apply the algorithm to an empirical dataset containing Post-Traumatic Stress Disorder symptom assessments of participants who experienced the Wenchuan earthquake in 2008. The most important limitations of the method are discussed, as well as recommendations for future research, such as shifting towards modeling individual processes to validate these types of simulation-based intervention methods.
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Affiliation(s)
- Gabriela Lunansky
- Department of Psychological Methods, University of Amsterdam, Amsterdam, the Netherlands.
| | - Jasper Naberman
- Department of Psychological Methods, University of Amsterdam, Amsterdam, the Netherlands
| | - Claudia D van Borkulo
- Department of Psychological Methods, University of Amsterdam, Amsterdam, the Netherlands; Centre for Urban Mental Health, University of Amsterdam, The Netherlands
| | - Chen Chen
- Laboratory for Traumatic Stress Studies, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Li Wang
- Laboratory for Traumatic Stress Studies, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Denny Borsboom
- Department of Psychological Methods, University of Amsterdam, Amsterdam, the Netherlands
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19
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Evaluation of the Effect of Comprehensive Nursing in Psychotherapy of Patients with Depression. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2021; 2021:2112523. [PMID: 34737786 PMCID: PMC8563113 DOI: 10.1155/2021/2112523] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 10/06/2021] [Accepted: 10/15/2021] [Indexed: 11/17/2022]
Abstract
The purpose of this study is to understand the emotional experience and psychological intervention of patients with depression and to explore the intervention effect of nursing intervention in the psychological treatment of patients with depression, so as to provide clinical nursing work recommendations and provide reference for the implementation of intervention methods for patients with depression. In addition, through case analysis, this paper combines controlled trials to study the effect of comprehensive nursing in the psychotherapy of patients with depression and combines mathematical statistics to process data. Through the analysis of controlled trials, it can be known that on the basis of conventional medication, interventional guidance for patients with depression through comprehensive nursing programs can play an ideal effect in improving the depression of patients. Moreover, it can effectively improve the patient's quality of life after intervention and enhance the patient's nursing satisfaction.
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20
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Snippe E, Doornbos B, Schoevers RA, Wardenaar KJ, Wichers M. Individual and common patterns in the order of symptom improvement during outpatient treatment for major depression. J Affect Disord 2021; 290:81-88. [PMID: 33993084 DOI: 10.1016/j.jad.2021.04.097] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Revised: 02/19/2021] [Accepted: 04/25/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Research so far provided few clues on the order in which depressive symptoms typically remit during treatment. This study examined which depressive symptoms improve first, and whether symptoms changed before, simultaneous with, or after the core symptoms of depression (i.e., sad mood, loss of pleasure, and loss of interest). METHODS Participants were 176 patients with Major Depressive Disorder (MDD) receiving outpatient treatment (a combination of pharmacotherapy and psychological interventions) for depression. Participants filled out the Inventory of Depressive Symptomatology - Self Report (IDS-SR) for 16 to 20 consecutive weeks. For each symptom, the timing of onset of a persistent improvement was determined for each single-subject separately. RESULTS Which symptoms improved first differed markedly across patients. The core depression symptoms improved 1.5 to 2 times more often before (48% - 60%) than after (19% -28%) depressive cognitions ('view of myself' and 'view of the future'), anxiety symptoms ('feeling irritable' and 'feeling anxious / tense') and vegetative symptoms ('loss of energy', 'slowed down', and 'physical energy'). Only improvements in suicidal thoughts were more likely to occur before (46% - 48%) than after (29%) improvements in the depression core symptoms. LIMITATIONS Not all 'core depression-non-core symptom' combinations could be tested because some symptoms did not improve in a sufficient number of patients. CONCLUSIONS Which improvements mark the start of symptom remission differed between patients. Improvements in the core depression symptoms 'sad mood', 'loss of interest', and 'loss of pleasure' were more likely to occur before than after improvements in non-core symptoms.
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Affiliation(s)
- Evelien Snippe
- University of Groningen, University Medical Center Groningen, Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion regulation, Groningen, The Netherlands.
| | - Bennard Doornbos
- University of Groningen, University Medical Center Groningen, Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion regulation, Groningen, The Netherlands; GGZ Drenthe Mental Health Institute, Department Affective disorders, Assen, The Netherlands
| | - Robert A Schoevers
- University of Groningen, University Medical Center Groningen, Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion regulation, Groningen, The Netherlands; GGZ Drenthe Mental Health Institute, Department Affective disorders, Assen, The Netherlands
| | - Klaas J Wardenaar
- University of Groningen, University Medical Center Groningen, Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion regulation, Groningen, The Netherlands
| | - Marieke Wichers
- University of Groningen, University Medical Center Groningen, Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion regulation, Groningen, The Netherlands
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21
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O'Driscoll C, Buckman JEJ, Fried EI, Saunders R, Cohen ZD, Ambler G, DeRubeis RJ, Gilbody S, Hollon SD, Kendrick T, Kessler D, Lewis G, Watkins E, Wiles N, Pilling S. The importance of transdiagnostic symptom level assessment to understanding prognosis for depressed adults: analysis of data from six randomised control trials. BMC Med 2021; 19:109. [PMID: 33952286 PMCID: PMC8101158 DOI: 10.1186/s12916-021-01971-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Accepted: 03/23/2021] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Depression is commonly perceived as a single underlying disease with a number of potential treatment options. However, patients with major depression differ dramatically in their symptom presentation and comorbidities, e.g. with anxiety disorders. There are also large variations in treatment outcomes and associations of some anxiety comorbidities with poorer prognoses, but limited understanding as to why, and little information to inform the clinical management of depression. There is a need to improve our understanding of depression, incorporating anxiety comorbidity, and consider the association of a wide range of symptoms with treatment outcomes. METHOD Individual patient data from six RCTs of depressed patients (total n = 2858) were used to estimate the differential impact symptoms have on outcomes at three post intervention time points using individual items and sum scores. Symptom networks (graphical Gaussian model) were estimated to explore the functional relations among symptoms of depression and anxiety and compare networks for treatment remitters and those with persistent symptoms to identify potential prognostic indicators. RESULTS Item-level prediction performed similarly to sum scores when predicting outcomes at 3 to 4 months and 6 to 8 months, but outperformed sum scores for 9 to 12 months. Pessimism emerged as the most important predictive symptom (relative to all other symptoms), across these time points. In the network structure at study entry, symptoms clustered into physical symptoms, cognitive symptoms, and anxiety symptoms. Sadness, pessimism, and indecision acted as bridges between communities, with sadness and failure/worthlessness being the most central (i.e. interconnected) symptoms. Connectivity of networks at study entry did not differ for future remitters vs. those with persistent symptoms. CONCLUSION The relative importance of specific symptoms in association with outcomes and the interactions within the network highlight the value of transdiagnostic assessment and formulation of symptoms to both treatment and prognosis. We discuss the potential for complementary statistical approaches to improve our understanding of psychopathology.
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Affiliation(s)
- C O'Driscoll
- Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational & Health Psychology, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK. ciaran.o'
| | - J E J Buckman
- Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational & Health Psychology, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK.
- iCope - Camden & Islington Psychological Therapies Services, Camden & Islington NHS Foundation Trust, St Pancras Hospital, London, NW1 0PE, UK.
| | - E I Fried
- Department of Clinical Psychology, Leiden University, Leiden, The Netherlands
| | - R Saunders
- Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational & Health Psychology, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK
| | - Z D Cohen
- Department of Psychiatry, University of California, Los Angeles, Los Angeles, CA, USA
| | - G Ambler
- Statistical Science, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK
| | - R J DeRubeis
- School of Arts and Sciences, Department of Psychology, 425 S. University Avenue, Philadelphia, PA, 19104-60185, USA
| | - S Gilbody
- Department of Health Sciences, University of York, Seebohm Rowntree Building, Heslington, York, YO10 5DD, UK
| | - S D Hollon
- Department of Psychology, Vanderbilt University, Nashville, TN, USA
| | - T Kendrick
- Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Aldermoor Health Centre, Southampton, SO16 5ST, UK
| | - D Kessler
- Centre for Academic Primary Care, Population Health Sciences, Bristol Medical School, University of Bristol, Canynge Hall, Bristol, UK
| | - G Lewis
- Division of Psychiatry, University College London, Maple House, London, W1T 7NF, UK
| | - E Watkins
- Department of Psychology, University of Exeter, Sir Henry Wellcome Building for Mood Disorders Research, Perry Road, Exeter, EX4 4QG, UK
| | - N Wiles
- Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Bristol, UK
| | - S Pilling
- Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational & Health Psychology, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK
- Camden & Islington NHS Foundation Trust, St Pancras Hospital, 4 St Pancras Way, London, NW1 0PE, UK
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Carrozzino D, Patierno C, Fava GA, Guidi J. The Hamilton Rating Scales for Depression: A Critical Review of Clinimetric Properties of Different Versions. PSYCHOTHERAPY AND PSYCHOSOMATICS 2021; 89:133-150. [PMID: 32289809 DOI: 10.1159/000506879] [Citation(s) in RCA: 103] [Impact Index Per Article: 34.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Accepted: 02/27/2020] [Indexed: 11/19/2022]
Abstract
The format of the original Hamilton Rating Scale for Depression (HAM-D) was unstructured: only general instructions were provided for rating individual items. Over the years, a number of modified versions of the HAM-D have been proposed. They differ not only in the number of items, but also in modalities of administration. Structured versions, including item definitions, anchor points and semi-structured or structured interview questions, were developed. This comprehensive review was conducted to examine the clinimetric properties of the different versions of the HAM-D. The aim was to identify the HAM-D versions that best display the clinimetric properties of reliability, validity, and sensitivity to change. The search was conducted on MEDLINE, Scopus, Web of Science, and PubMed, and yielded a total of 35,473 citations, but only the most representative studies were included. The structured versions of the HAM-D were found to display the highest inter-rater and test-retest reliability. The Clinical Interview for Depression and the 6-item HAM-D showed the highest sensitivity in differentiating active treatment from placebo. The findings indicate that the HAM-D is a valid and sensitive clinimetric index, which should not be discarded in view of obsolete and not clinically relevant psychometric criteria. The HAM-D, however, requires an informed use: unstructured forms should be avoided and the type of HAM-D version that is selected should be specified in the registration of the study protocol and in the methods of the trial.
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Affiliation(s)
| | - Chiara Patierno
- Department of Psychology, University of Bologna, Bologna, Italy
| | - Giovanni A Fava
- Department of Psychiatry, University at Buffalo, State University of New York, Buffalo, New York, USA
| | - Jenny Guidi
- Department of Psychology, University of Bologna, Bologna, Italy
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Kaiser T, Boschloo L, Berger T, Meyer B, Späth-Nellissen C, Schröder J, Hohagen F, Moritz S, Klein JP. Maintaining Outcomes of Internet-Delivered Cognitive-Behavioral Therapy for Depression: A Network Analysis of Follow-Up Effects. Front Psychiatry 2021; 12:598317. [PMID: 33959044 PMCID: PMC8095668 DOI: 10.3389/fpsyt.2021.598317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 03/16/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Depression is a highly prevalent mental disorder, but only a fraction of those affected receive evidence-based treatments. Recently, Internet-based interventions were introduced as an efficacious and cost-effective approach. However, even though depression is a heterogenous construct, effects of treatments have mostly been determined using aggregated symptom scores. This carries the risk of concealing important effects and working mechanisms of those treatments. Methods: In this study, we analyze outcome and long-term follow-up data from the EVIDENT study, a large (N = 1,013) randomized-controlled trial comparing an Internet intervention for depression (Deprexis) with care as usual. We use Network Intervention Analysis to examine the symptom-specific effects of the intervention. Using data from intermediary and long-term assessments that have been conducted over 36 months, we intend to reveal how the treatment effects unfold sequentially and are maintained. Results: Item-level analysis showed that scale-level effects can be explained by small item-level effects on most depressive symptoms at all points of assessment. Higher scores on these items at baseline predicted overall symptom reduction throughout the whole assessment period. Network intervention analysis offered insights into potential working mechanisms: while deprexis directly affected certain symptoms of depression (e.g., worthlessness and fatigue) and certain aspects of the quality of life (e.g., overall impairment through emotional problems), other domains were affected indirectly (e.g., depressed mood and concentration as well as activity level). The configuration of direct and indirect effects replicates previous findings from another study examining the same intervention. Conclusions: Internet interventions for depression are not only effective in the short term, but also exert long-term effects. Their effects are likely to affect only a small subset of problems. Patients reporting these problems are likely to benefit more from the intervention. Future studies on online interventions should examine symptom-specific effects as they potentially reveal the potential of treatment tailoring. Clinical Trial Registration: ClinicalTrials.gov, Identifier: NCT02178631.
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Affiliation(s)
- Tim Kaiser
- Department of Psychology, University of Salzburg, Salzburg, Austria.,Department of Psychology, University of Greifswald, Greifswald, Germany
| | - Lynn Boschloo
- Faculty of Behavioural and Movement Sciences, Clinical Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Thomas Berger
- Department of Psychology, Bern University, Bern, Switzerland
| | | | | | - Johanna Schröder
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg Eppendorf, Hamburg, Germany
| | - Fritz Hohagen
- Department of Psychiatry, Lübeck University, Lübeck, Germany
| | - Steffen Moritz
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg Eppendorf, Hamburg, Germany
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24
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Wichers M, Riese H, Hodges TM, Snippe E, Bos FM. A Narrative Review of Network Studies in Depression: What Different Methodological Approaches Tell Us About Depression. Front Psychiatry 2021; 12:719490. [PMID: 34777038 PMCID: PMC8581034 DOI: 10.3389/fpsyt.2021.719490] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 09/30/2021] [Indexed: 11/13/2022] Open
Abstract
The network theory of psychopathology proposes that mental disorders arise from direct interactions between symptoms. This theory provides a promising framework to understand the development and maintenance of mental disorders such as depression. In this narrative review, we summarize the literature on network studies in the field of depression. Four methodological network approaches are distinguished: (i) studies focusing on symptoms at the macro-level vs. (ii) on momentary states at the micro-level, and (iii) studies based on cross-sectional vs. (iv) time-series (dynamic) data. Fifty-six studies were identified. We found that different methodological approaches to network theory yielded largely inconsistent findings on depression. Centrality is a notable exception: the majority of studies identified either positive affect or anhedonia as central nodes. To aid future research in this field, we outline a novel complementary network theory, the momentary affect dynamics (MAD) network theory, to understand the development of depression. Furthermore, we provide directions for future research and discuss if and how networks might be used in clinical practice. We conclude that more empirical network studies are needed to determine whether the network theory of psychopathology can indeed enhance our understanding of the underlying structure of depression and advance clinical treatment.
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Affiliation(s)
- Marieke Wichers
- University of Groningen, University Medical Center Groningen, Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion regulation, Groningen, Netherlands
| | - Harriëtte Riese
- University of Groningen, University Medical Center Groningen, Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion regulation, Groningen, Netherlands
| | - Taylor M Hodges
- University of Groningen, University Medical Center Groningen, Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion regulation, Groningen, Netherlands
| | - Evelien Snippe
- University of Groningen, University Medical Center Groningen, Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion regulation, Groningen, Netherlands
| | - Fionneke M Bos
- University of Groningen, University Medical Center Groningen, Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion regulation, Groningen, Netherlands.,University of Groningen, University Medical Center Groningen, Department of Psychiatry, Rob Giel Research Center, Groningen, Netherlands
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25
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Mullarkey MC, Stein AT, Pearson R, Beevers CG. Network analyses reveal which symptoms improve (or not) following an Internet intervention (Deprexis) for depression. Depress Anxiety 2020; 37:115-124. [PMID: 31710772 PMCID: PMC6992506 DOI: 10.1002/da.22972] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Revised: 09/15/2019] [Accepted: 10/31/2019] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Depression is a heterogeneous collection of symptoms. Prior meta-analyses using symptom sum scores have shown the Internet intervention, Deprexis, to be an efficacious treatment for depression. However, no prior research has investigated how Deprexis (or any other Internet intervention for depression) impacts specific symptoms of depression. The current study utilizes symptom-level analyses to examine which symptoms are directly, indirectly, or minimally influenced by treatment. METHODS Network analysis and mean-level approaches examined which symptoms, assessed by the Quick Inventory of Depression Symptoms, were affected by an 8-week course of Deprexis compared with a waitlist in a nationally recruited sample from the United States (N = 295). RESULTS Deprexis directly improved the symptoms of sadness and indecision. Changes in these symptoms, in turn, was associated with a change in early insomnia, middle insomnia, self-dislike, fatigue, anhedonia, suicidality, slowness, and agitation. All of these symptoms (except for agitation and early insomnia) show decreases with Deprexis compared with a waitlist after correcting for multiple comparisons. Six additional symptoms, particularly the somatic symptoms, were not impacted by Deprexis compared with a waitlist. CONCLUSIONS In this sample, the efficacy of Deprexis was due to its direct impact on sadness and indecision. Examining the treatment-related change in specific symptoms may facilitate a more nuanced understanding of how a treatment works compared with examining symptom sum scores. Symptom-level approaches may also identify symptoms that do not improve and provide important direction for future treatment development.
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Affiliation(s)
- Michael C. Mullarkey
- Department of PsychologyInstitute for Mental Health ResearchUniversity of Texas at Austin Austin Texas
| | - Aliza T. Stein
- Department of PsychologyInstitute for Mental Health ResearchUniversity of Texas at Austin Austin Texas
| | - Rahel Pearson
- Department of PsychologyInstitute for Mental Health ResearchUniversity of Texas at Austin Austin Texas
| | - Christopher G. Beevers
- Department of PsychologyInstitute for Mental Health ResearchUniversity of Texas at Austin Austin Texas
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26
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Boschloo L, Cuijpers P, Karyotaki E, Berger T, Moritz S, Meyer B, Klein JP. Symptom-specific effectiveness of an internet-based intervention in the treatment of mild to moderate depressive symptomatology: The potential of network estimation techniques. Behav Res Ther 2019; 122:103440. [DOI: 10.1016/j.brat.2019.103440] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Revised: 07/01/2019] [Accepted: 07/16/2019] [Indexed: 01/31/2023]
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27
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Boschloo L, Bekhuis E, Weitz ES, Reijnders M, DeRubeis RJ, Dimidjian S, Dunner DL, Dunlop BW, Hegerl U, Hollon SD, Jarrett RB, Kennedy SH, Miranda J, Mohr D, Simons AD, Parker G, Petrak F, Herpertz S, Quilty LC, John Rush A, Segal ZV, Vittengl JR, Schoevers RA, Cuijpers P. The symptom-specific efficacy of antidepressant medication vs. cognitive behavioral therapy in the treatment of depression: results from an individual patient data meta-analysis. World Psychiatry 2019; 18:183-191. [PMID: 31059603 PMCID: PMC6502416 DOI: 10.1002/wps.20630] [Citation(s) in RCA: 62] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
A recent individual patient data meta-analysis showed that antidepressant medication is slightly more efficacious than cognitive behavioral therapy (CBT) in reducing overall depression severity in patients with a DSM-defined depressive disorder. We used an update of that dataset, based on seventeen randomized clinical trials, to examine the comparative efficacy of antidepressant medication vs. CBT in more detail by focusing on individual depressive symptoms as assessed with the 17-item Hamilton Rating Scale for Depression. Five symptoms (i.e., "depressed mood" , "feelings of guilt" , "suicidal thoughts" , "psychic anxiety" and "general somatic symptoms") showed larger improvements in the medication compared to the CBT condition (effect sizes ranging from .13 to .16), whereas no differences were found for the twelve other symptoms. In addition, network estimation techniques revealed that all effects, except that on "depressed mood" , were direct and could not be explained by any of the other direct or indirect treatment effects. Exploratory analyses showed that information about the symptom-specific efficacy could help in identifying those patients who, based on their pre-treatment symptomatology, are likely to benefit more from antidepressant medication than from CBT (effect size of .30) versus those for whom both treatments are likely to be equally efficacious. Overall, our symptom-oriented approach results in a more thorough evaluation of the efficacy of antidepressant medication over CBT and shows potential in "precision psychiatry" .
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Affiliation(s)
- Lynn Boschloo
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research InstituteVrije Universiteit AmsterdamAmsterdamThe Netherlands,Department of Psychiatry and Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE)University of Groningen, University Medical Center GroningenGroningenThe Netherlands
| | - Ella Bekhuis
- Department of Psychiatry and Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE)University of Groningen, University Medical Center GroningenGroningenThe Netherlands
| | - Erica S. Weitz
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research InstituteVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Mirjam Reijnders
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research InstituteVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | | | - Sona Dimidjian
- Department of Psychology and NeuroscienceUniversity of ColoradoBoulderCOUSA
| | - David L. Dunner
- Center for Anxiety and Depression, Mercer IslandWashingtonWAUSA
| | - Boadie W. Dunlop
- Department of Psychiatry and Behavioral SciencesEmory University School of MedicineAtlantaGAUSA
| | - Ulrich Hegerl
- Department of Psychiatry and PsychotherapyUniversity of LeipzigLeipzigGermany
| | | | - Robin B. Jarrett
- Department of PsychiatryUniversity of Texas Southwestern Medical CenterDallasTXUSA
| | | | - Jeanne Miranda
- Health Services Research Center, Neuropsychiatric InstituteUniversity of CaliforniaLos AngelesCAUSA
| | - David C. Mohr
- Center for Behavioral Intervention Technologies, Feinberg School of MedicineNorthwestern UniversityChicagoILUSA
| | - Anne D. Simons
- Department of PsychologyUniversity of Notre DameNotre DameINUSA
| | - Gordon Parker
- School of PsychiatryUniversity of New South WalesSydneyNSWAustralia
| | - Frank Petrak
- Department of Psychosomatic Medicine and PsychotherapyLWL‐University Clinic Bochum, Ruhr University BochumBochumGermany
| | - Stephan Herpertz
- Department of Psychosomatic Medicine and PsychotherapyLWL‐University Clinic Bochum, Ruhr University BochumBochumGermany
| | - Lena C. Quilty
- Department of PsychiatryUniversity of TorontoTorontoONCanada,Campbell Family Mental Health Research InstituteCentre for Addiction and Mental HealthTorontoONCanada
| | - A. John Rush
- Duke‐National University of Singapore Graduate Medical SchoolSingapore,Department of PsychiatryDuke Medical SchoolDurham, NCUSA,Texas Tech University Health Sciences CenterPermian BasinTXUSA
| | - Zindel V. Segal
- Department of PsychologyUniversity of Toronto ScarboroughTorontoONCanada
| | | | - Robert A. Schoevers
- Department of Psychiatry and Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE)University of Groningen, University Medical Center GroningenGroningenThe Netherlands
| | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research InstituteVrije Universiteit AmsterdamAmsterdamThe Netherlands
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Abstract
AbstractWe address the commentaries on our target article in terms of four major themes. First, we note that virtually all commentators agree that mental disorders are not brain disorders in the common interpretation of these terms, and establish the consensus that explanatory reductionism is not a viable thesis. Second, we address criticisms to the effect that our article was misdirected or aimed at a straw man; we argue that this is unlikely, given the widespread communication of reductionist slogans in psychopathology research and society. Third, we tackle the question of whether intentionality, extended systems, and multiple realizability are as problematic as claimed in the target article, and we present a number of nuances and extensions with respect to our article. Fourth, we discuss the question of how the network approach should incorporate biological factors, given that wholesale reductionism is an unlikely option.
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29
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Bekhuis E, Olde Hartman TC, Boschloo L, Lucassen PL. A new approach to psychopathology: the example of depression. Br J Gen Pract 2019; 69:146-147. [PMID: 30819756 PMCID: PMC6400597 DOI: 10.3399/bjgp19x701717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022] Open
Affiliation(s)
- Ella Bekhuis
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University of Groningen, University Medical Center Groningen, Groningen
| | - Tim C Olde Hartman
- Department of Primary and Community Care, Radboud University Nijmegen Medical Center, Nijmegen
| | - Lynn Boschloo
- Department of Clinical Psychology, Vrije Universiteit Amsterdam, Amsterdam
| | - Peter Lbj Lucassen
- Department of Primary and Community Care, Radboud University Nijmegen Medical Center, Nijmegen
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30
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Blanken TF, Van Der Zweerde T, Van Straten A, Van Someren EJ, Borsboom D, Lancee J. Introducing Network Intervention Analysis to Investigate Sequential, Symptom-Specific Treatment Effects: A Demonstration in Co-Occurring Insomnia and Depression. PSYCHOTHERAPY AND PSYCHOSOMATICS 2019; 88:52-54. [PMID: 30625483 PMCID: PMC6469840 DOI: 10.1159/000495045] [Citation(s) in RCA: 77] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2018] [Accepted: 10/23/2018] [Indexed: 12/20/2022]
Affiliation(s)
- Tessa F. Blanken
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, an Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands,*Tessa F. Blanken, Netherlands Institute for Neuroscience, Meibergdreef 47, NL–1105 BA Amsterdam (The Netherlands), E-Mail
| | - Tanja Van Der Zweerde
- Department of Clinical Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Annemieke Van Straten
- Department of Clinical Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Eus J.W. Van Someren
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, an Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands,Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands,Amsterdam UMC, Vrije Universiteit Amsterdam, Psychiatry, Amsterdam, The Netherlands
| | - Denny Borsboom
- Department of Psychological Methods, University of Amsterdam, Amsterdam, The Netherlands
| | - Jaap Lancee
- Department of Clinical Psychology, University of Amsterdam, Amsterdam, The Netherlands
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31
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Heinrich M, Zagorscak P, Eid M, Knaevelsrud C. Giving G a Meaning: An Application of the Bifactor-(S-1) Approach to Realize a More Symptom-Oriented Modeling of the Beck Depression Inventory–II. Assessment 2018; 27:1429-1447. [DOI: 10.1177/1073191118803738] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
The Beck Depression Inventory–II is one of the most frequently used scales to assess depressive burden. Despite many psychometric evaluations, its factor structure is still a topic of debate. An increasing number of articles using fully symmetrical bifactor models have been published recently. However, they all produce anomalous results, which lead to psychometric and interpretational difficulties. To avoid anomalous results, the bifactor-(S-1) approach has recently been proposed as alternative for fitting bifactor structures. The current article compares the applicability of fully symmetrical bifactor models and symptom-oriented bifactor-(S-1) and first-order confirmatory factor analysis models in a large clinical sample ( N = 3,279) of adults. The results suggest that bifactor-(S-1) models are preferable when bifactor structures are of interest, since they reduce problematic results observed in fully symmetrical bifactor models and give the G factor an unambiguous meaning. Otherwise, symptom-oriented first-order confirmatory factor analysis models present a reasonable alternative.
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