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Hardman JR, Gleeson JFM, González‐Blanch C, Alvarez‐Jimenez M, Fraser MI, Yap K. The role of insight, social rank, mindfulness and self-compassion in depression following first episode psychosis. Clin Psychol Psychother 2023; 30:1393-1406. [PMID: 37438084 PMCID: PMC10946724 DOI: 10.1002/cpp.2881] [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: 10/25/2022] [Revised: 05/04/2023] [Accepted: 06/26/2023] [Indexed: 07/14/2023]
Abstract
Gaining awareness of psychosis (i.e., insight) is linked to depression, particularly in the post-acute phase of psychosis. Informed by social rank theory, we examined whether the insight-depression relationship is explained by reduced social rank related to psychosis and whether self-compassion (including uncompassionate self-responding [UCS] and compassionate self-responding [CSR]) and mindfulness buffered the relationship between social rank and depression in individuals with first episode psychosis during the post-acute phase. Participants were 145 young people (Mage = 20.81; female = 66) with first episode psychosis approaching discharge from an early psychosis intervention centre. Questionnaires and interviews assessed insight, depressive symptoms, perceived social rank, self-compassion, mindfulness and illness severity. Results showed that insight was not significantly associated to depression and thus no mediation analysis was conducted. However, lower perceived social rank was related to higher depression, and this relationship was moderated by self-compassion and, more specifically, UCS. Mindfulness was related to depression but had no moderating effect on social rank and depression. Results supported previous findings that depressive symptoms are common during the post-acute phase. The role of insight in depression for this sample is unclear and may be less important during the post-acute phase than previously considered. Supporting social rank theory, the results suggest that low perceived social rank contributes to depression, and reducing UCS may ameliorate this effect. UCS, social rank and possibly mindfulness may be valuable intervention targets for depression intervention and prevention efforts in the recovery of psychosis.
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Affiliation(s)
- Jamie R. Hardman
- School of Behavioural and Health SciencesAustralian Catholic UniversityStrathfieldNew South WalesAustralia
| | - John F. M. Gleeson
- Healthy Brain and Mind Research Centre, School of Behavioural and Health SciencesAustralian Catholic UniversityFitzroyVictoriaAustralia
| | - César González‐Blanch
- Centre for Youth Mental HealthUniversity of MelbourneMelbourneVictoriaAustralia
- Mental Health CentreUniversity Hospital “Marqués de Valdecilla”SantanderSpain
| | | | - Madeleine I. Fraser
- School of Behavioural and Health SciencesAustralian Catholic UniversityStrathfieldNew South WalesAustralia
- Healthy Brain and Mind Research Centre, School of Behavioural and Health SciencesAustralian Catholic UniversityFitzroyVictoriaAustralia
| | - Keong Yap
- School of Behavioural and Health SciencesAustralian Catholic UniversityStrathfieldNew South WalesAustralia
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Stabell L, Johnsen E, Kroken RA, Løberg E, Blindheim A, Joa I, Reitan S, Rettenbacher M, Munk-Jørgensen P, Gjestad R. Clinical insight among persons with schizophrenia spectrum disorders treated with amisulpride, aripiprazole or olanzapine: a semi-randomised trial. BMC Psychiatry 2023; 23:482. [PMID: 37386462 PMCID: PMC10311854 DOI: 10.1186/s12888-023-04981-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 06/22/2023] [Indexed: 07/01/2023] Open
Abstract
BACKGROUND Antipsychotic treatment may improve clinical insight. However, previous studies have reported inconclusive findings on whether antipsychotics improve insight over and above the reduction in symptoms of psychosis. These studies assessed homogeneous samples in terms of stage of illness. Randomised studies investigating a mixed population of first- and multiepisode schizophrenia spectrum disorders might clarify this disagreement. METHODS Our data were derived from a pragmatic, rater-blinded, semi-randomised trial that compared the effectiveness of amisulpride, aripiprazole and olanzapine. A sample of 144 patients with first- or multiepisode schizophrenia spectrum disorders underwent eight assessments during a 1-year follow-up. Clinical insight was assessed by item General 12 from the Positive and Negative Syndrome Scale (PANSS). We analysed latent growth curve models to test if the medications had a direct effect on insight that was over and above the reduction in total psychosis symptoms. Furthermore, we investigated whether there were differences between the study drugs in terms of insight. RESULTS Based on allocation analysis, all three drugs were associated with a reduction in total psychosis symptoms in the initial phase (weeks 0-6). Amisulpride and olanzapine were associated with improved insight over and above what was related to the reduction in total psychosis symptoms in the long-term phase (weeks 6-52). However, these differential effects were lost when only including the participants that chose the first drug in the randomisation sequence. We found no differential effect on insight among those who were antipsychotic-naïve and those who were previously medicated with antipsychotics. CONCLUSIONS Our results suggest that antipsychotic treatment improves insight, but whether the effect on insight surpasses the effect of reduced total psychosis symptoms is more uncertain. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT01446328, 05.10.2011.
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Affiliation(s)
- L.A Stabell
- Division of Psychiatry and NORMENT Centre of Excellence, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Research Department, Sandviken sykehus, Haukeland University Hospital, P. Box 1400, Bergen, 5021 Norway
| | - E. Johnsen
- Division of Psychiatry and NORMENT Centre of Excellence, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - R. A Kroken
- Division of Psychiatry and NORMENT Centre of Excellence, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - E.M. Løberg
- Division of Psychiatry and NORMENT Centre of Excellence, Haukeland University Hospital, Bergen, Norway
- Faculty of Psychology, Department of Clinical Psychology, University of Bergen, Bergen, Norway
| | - A. Blindheim
- Division of Psychiatry and NORMENT Centre of Excellence, Haukeland University Hospital, Bergen, Norway
| | - I. Joa
- Network for Clinical Research in psychosis, TIPS, Stavanger University Hospital, Stavanger, Norway
- Faculty of Health, Network for Medical Sciences, University of Stavanger, Stavanger, Norway
| | - S.K. Reitan
- Department of Mental Health, St. Olav University Hospital, Trondheim, Norway
- Department of Mental Health, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - M. Rettenbacher
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical University of Innsbruck, Innrain 52, Innsbruck, Austria
| | - P. Munk-Jørgensen
- Department of Psychiatry, University of Southern Denmark, Odense, Denmark
| | - R. Gjestad
- Division of Psychiatry and NORMENT Centre of Excellence, Haukeland University Hospital, Bergen, Norway
- Centre for Research and Education in Forensic psychiatry, Haukeland University Hospital, Bergen, Norway
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Vlachos II, Selakovic M, Ralli I, Hatzimanolis A, Xenaki LA, Dimitrakopoulos S, Soldatos RF, Foteli S, Nianiakas N, Kosteletos I, Stefanatou P, Ntigrintaki AA, Triantafyllou TF, Voulgaraki M, Ermiliou V, Mantonakis L, Kollias K, Stefanis NC. Role of Clinical Insight at First Month in Predicting Relapse at the Year in First Episode of Psychosis (FEP) Patients. J Clin Med 2023; 12:4261. [PMID: 37445295 DOI: 10.3390/jcm12134261] [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: 05/22/2023] [Revised: 06/18/2023] [Accepted: 06/19/2023] [Indexed: 07/15/2023] Open
Abstract
INTRODUCTION Clinical insight constitutes a useful marker of the progress and outcome of the First Episode of Psychosis (FEP), and lack of insight has been associated with more severe psychopathology, treatment non-adherence, and rehospitalization/relapse. In this study, we aimed to further investigate the possible role of insight as a predictor of relapse, its relation to diagnosis, and other parameters of positive psychotic symptomatology (delusions, hallucinations, and suspiciousness). METHODS The Athens FEP study employed a prospective, longitudinal cohort design in which consecutive newly diagnosed patients with psychosis were interviewed and asked to voluntarily participate after completing informed consent. A total of 88/225 patients were examined at three different time points (baseline, month, and year). Their scores in the relevant items of the Positive and Negative Syndrome Scale (PANSS) were compared (G12 for insight, P1 for delusions, P3 for hallucinations, and P6 for suspiciousness), and they were further associated to diagnosis and the outcome at the end of the year (remission/relapse). RESULTS In total, 22/88 patients with relapse at the year had greater scores in G12 for both the month and the year, and this finding was corroborated after adjusting the statistical analysis for demographics, diagnosis, social environment, and depression via multiple logistic regression analysis. Moreover, delusions and suspiciousness were significantly higher in patients diagnosed with non-affective psychosis compared to those diagnosed with affective psychosis (p < 0.001) at the first month. CONCLUSIONS Lack of insight at the first month may serve as a predictor of relapse at the year.
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Affiliation(s)
- Ilias I Vlachos
- 1st Department of Psychiatry, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece
| | - Mirjana Selakovic
- 1st Department of Psychiatry, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece
- Department of Psychiatry, Sismanoglion General Hospital, 15126 Attica, Greece
| | - Irene Ralli
- 1st Department of Psychiatry, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece
| | - Alexandros Hatzimanolis
- 1st Department of Psychiatry, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece
| | - Lida-Alkisti Xenaki
- 1st Department of Psychiatry, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece
| | - Stefanos Dimitrakopoulos
- 1st Department of Psychiatry, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece
- Psychiatric Clinic, 414 Military Hospital of Athens, 15236 Palea Penteli, Greece
| | - Rigas-Filippos Soldatos
- 1st Department of Psychiatry, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece
| | - Stefania Foteli
- 1st Department of Psychiatry, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece
| | - Nikos Nianiakas
- 1st Department of Psychiatry, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece
| | - Ioannis Kosteletos
- 1st Department of Psychiatry, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece
| | - Pentagiotissa Stefanatou
- 1st Department of Psychiatry, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece
| | | | | | - Marina Voulgaraki
- 1st Department of Psychiatry, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece
| | - Vassiliki Ermiliou
- 1st Department of Psychiatry, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece
| | - Leonidas Mantonakis
- 1st Department of Psychiatry, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece
| | - Konstantinos Kollias
- 1st Department of Psychiatry, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece
| | - Nikos C Stefanis
- 1st Department of Psychiatry, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece
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Wright AC, Lysaker PH, Fowler D, Greenwood K. Clinical insight in first episode psychosis: the role of metacognition. J Ment Health 2023; 32:78-86. [PMID: 33999747 DOI: 10.1080/09638237.2021.1922629] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
BACKGROUND Poor clinical insight has been commonly reported in those with First Episode Psychosis (FEP) and thought to be influenced by a range of factors, including neurocognition and symptoms. Clinical insight may be compromised as a result of alterations in higher-level reflective processes, such as metacognitive ability and cognitive insight. AIMS To explore whether metacognitive ability and cognitive insight are associated with clinical insight while controlling for IQ, depression, and symptoms in FEP. METHODS 60 individuals with FEP completed measures for clinical insight, metacognitive ability, cognitive insight, positive and negative symptoms, depression, and IQ. RESULTS Higher levels of metacognitive ability were associated with better clinical insight, even when controlling for IQ, depression, positive and negative symptoms, and medication. Integration subscale of metacognitive ability was most strongly associated with clinical insight. Cognitive insight was associated with clinical insight when controlling for covariates. However, when including metacognitive ability and cognitive insight in the predictive model, only metacognitive ability was significantly related to clinical insight. DISCUSSION Metacognitive ability, specifically the ability to describe one's evolving mental state to provide a coherent narrative, was significantly related to clinical insight, independent of covariates, and may be a potentially important target for intervention in FEP.
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Affiliation(s)
- Abigail C Wright
- Center of Excellence for Psychosocial and Systemic Research, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Paul H Lysaker
- Department of Psychiatry, Richard L Roudebush VA Medical Center, Indianapolis, IN, USA.,School of Medicine, Indiana University, Indianapolis, IN, USA
| | - David Fowler
- School of Psychology, University of Sussex, Brighton, UK.,Research & Development Department, Sussex Partnership NHS Foundation Trust, Hove, UK
| | - Kathryn Greenwood
- School of Psychology, University of Sussex, Brighton, UK.,Research & Development Department, Sussex Partnership NHS Foundation Trust, Hove, UK
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Kim SY, Kim AR. Effectiveness of community-based interventions for patients with schizophrenia spectrum disorders: a study protocol for a systematic review. Syst Rev 2021; 10:106. [PMID: 33845902 PMCID: PMC8042964 DOI: 10.1186/s13643-021-01662-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Accepted: 04/05/2021] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Schizophrenia requires a community-based intervention approach combined with standard treatment to prevent relapses. A literature review is required to understand the effectiveness of community-based interventions and to enhance quality in countries where they have not been fully established. This is a protocol for a systematic review of the effectiveness of community-based interventions for patients with schizophrenia spectrum disorders. METHODS We will search (from inception to January 2021) PubMed/MEDLINE, EMBASE, PsycINFO, CENTRAL, CINAHL, and Research Information Sharing Service/Korean databases. Randomized controlled trials on community-based interventions for patients with schizophrenia spectrum disorders will be eligible. The comparison groups will include patients with schizophrenia spectrum disorders who are only receiving the usual care and those who also receive community-based interventions. The schizophrenia spectrum disorders referred to in this study are defined according to the DSM-5: delusional disorders, schizophrenic disorders, and schizoaffective disorder will be included. Relapse/re-hospitalization rates (primary outcome) and quality of life (secondary outcome) will be identified for each group. Two reviewers will independently screen study titles, abstract data, and full-text articles and perform the data extraction process. Potential conflicts will be resolved through discussion. The study risk of bias will be appraised using the Cochrane Risk of Bias 2.0 tool. Results will be descriptively synthesized and will be structured according to patients' characteristics, intervention type and exposure, and outcome type. If feasible and appropriate, outcome data will be used to perform random effects meta-analyses. Discrete variables will be calculated via odds ratio, and continuous variables will be calculated via standardized mean difference using RevMan 5.3 software. DISCUSSION We will provide a summary of the available evidence on the effectiveness of community-based interventions and specific guidelines to improve their outcomes. SYSTEMATIC REVIEW REGISTRATION PROSPERO ( CRD42019145660 ).
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Affiliation(s)
- Soo-Yeon Kim
- Department of Nursing, Daegu Haany University, Hanuidae-ro, Gyeongsan-si, Gyeongsangbuk-do 38609 Republic of Korea
| | - Ah. Rim Kim
- Department of Nursing, Far East University, Chungchungbuk-do, South Korea
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Relationship between childhood trauma and level of insight in schizophrenia: A path-analysis in the national FACE-SZ dataset. Schizophr Res 2019; 208:90-96. [PMID: 31028001 DOI: 10.1016/j.schres.2019.04.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Revised: 03/13/2019] [Accepted: 04/04/2019] [Indexed: 12/31/2022]
Abstract
INTRODUCTION This study aimed was to investigate the relationship between different types of childhood trauma and the level of insight (i.e., awareness of having a psychiatric disorder) in subjects suffering from schizophrenia, as well as the putative role of clinical mediators. METHODS 294 community-dwelling subjects with stable schizophrenia were included into FACE-SZ, a multicentre cross-sectional study. All patients were assessed by specialized multidisciplinary teams. The level of insight was assessed by the Scale to assess Unawareness of Mental Disorder (SUMD), and childhood trauma by the Childhood Trauma Questionnaire (CTQ). Path analyses from the five CTQ subscales (physical abuse and neglect, emotional abuse and neglect, and sexual abuse) and the SUMD, with current symptomatology (i.e., positive, negative, global psychopathology and depression) as mediator, was performed. RESULTS Physical neglect (β = 0.14) and abuse (β = 0.13) were significantly associated with poor insight. Negative symptoms were a clinical mediator of the relationship between physical neglect and poor insight. Moreover, positive (β = 0.21) and negative (β = 0.30) symptoms were associated with poor insight, whereas depression (β = -0.14) was associated with higher levels of insight. DISCUSSION For the first time, this study shows a significant relationship between childhood trauma, specifically physical neglect and abuse, and poor insight. The level of insight was linked to different clinical dimensions. Among subjects with schizophrenia, these results provide support for a role of childhood trauma in poorer management outcomes, and the need to provide treatment, including psycho-education that better targets the consequences of childhood trauma.
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Kos L, Šagud M, Mihaljević-Peleš A, Kutleša M, Kovač T, Trkulja V. Religiosity and Severity of Symptoms in Croatian Patients With Major Depressive Disorder or Schizophrenia. J Nerv Ment Dis 2019; 207:515-522. [PMID: 31058748 DOI: 10.1097/nmd.0000000000001003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
We examined and compared the relationship between religiosity and symptom severity in patients with major depressive disorder (MDD) rated by the Hamilton Depression Rating Scale) and schizophrenia (rated by the Positive and Negative Syndrome Scale). The Duke University Religion Index, the Santa Clara Strength of Religious Faith (SCSORF) questionnaire, and the Brief Religious Coping scale scores were similar between patients with MDD (n = 50) and patients with schizophrenia (n = 50). In patients with MDD, higher organizational religious activity (ORA) (estimate = 2.28, 95% confidence interval [CI] = 0.37-4.19; p = 0.020) and higher negative religious coping (estimate = 0.43, 95% CI = 0.03-0.84; p = 0.037) were independently associated with more severe symptoms. In patients with schizophrenia, higher ORA was associated with lower negative symptoms (estimate = -1.99, 95% CI = -3.94 to -0.03; p = 0.046). Higher SCSORF was associated with lower ORA in both patient subsets, and thus indirectly with milder symptoms in patients with MDD and with more severe negative symptoms in patients with schizophrenia. The relationship between religiosity and symptom severity apparently differs in patients with MDD and those with schizophrenia.
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Affiliation(s)
- Lana Kos
- Department of Psychiatry, County General Hospital Pula, Pula
| | - Marina Šagud
- Department of Psychiatry, University Hospital Center Zagreb and School of Medicine
| | | | - Mislav Kutleša
- Department of Moral Theology, Catholic Faculty of Theology, and
| | - Tomislav Kovač
- Department of Fundamental Theology, Catholic Faculty of Theology, Zagreb University
| | - Vladimir Trkulja
- Department of Pharmacology, Zagreb University School of Medicine, Zagreb, Croatia
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Sauvé G, Kline RB, Shah JL, Joober R, Malla A, Brodeur MB, Lepage M. Cognitive capacity similarly predicts insight into symptoms in first- and multiple-episode psychosis. Schizophr Res 2019; 206:236-243. [PMID: 30514643 DOI: 10.1016/j.schres.2018.11.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Revised: 09/03/2018] [Accepted: 11/12/2018] [Indexed: 10/27/2022]
Abstract
BACKGROUND Lack of insight is a frequent characteristic of psychotic disorders, both in patients who recently experienced a first episode of psychosis (FEP) and those who experience recurrent multiple episodes (MEP). Insight is a multifaceted construct: its clinical form notably includes the unawareness of being ill, of symptoms, and of the need for treatment. Cognitive capacity is among the key determinants of insight into symptoms, but less is known about whether stage of illness (FEP vs. MEP) moderates this association. METHODS Our aim is to evaluate the association between cognitive capacity and symptom unawareness using structural equation modeling and moderated multiple regression. A total of 193 FEP and MEP patients were assessed using the CogState battery and the Scale to Assess Unawareness of Mental Disorder. RESULTS Analyses suggest that cognitive capacity accounts for a relatively small proportion of the total variation in symptom unawareness (6.4%). There was no evidence to suggest a moderating effect of stage of illness on this association. CONCLUSIONS The effect of general cognitive capacity on symptom unawareness is relatively small, and this basic relation was unrelated to stage of illness. It is possible that stage of illness could moderate this association only for certain facets of insight not assessed in this study (e.g., unawareness of the need for treatment).
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Affiliation(s)
- Geneviève Sauvé
- Douglas Mental Health University Institute, 6875 LaSalle Blvd, Verdun, Quebec H4H 1R3, Canada; Department of Psychiatry, McGill University, 1033 Pine Avenue West, Montreal, Quebec H3A 1A1, Canada.
| | - Rex B Kline
- Department of Psychology, Concordia University, 7141 Sherbrooke West, Montreal, Quebec H4B 1R6, Canada.
| | - Jai L Shah
- Douglas Mental Health University Institute, 6875 LaSalle Blvd, Verdun, Quebec H4H 1R3, Canada; Department of Psychiatry, McGill University, 1033 Pine Avenue West, Montreal, Quebec H3A 1A1, Canada.
| | - Ridha Joober
- Douglas Mental Health University Institute, 6875 LaSalle Blvd, Verdun, Quebec H4H 1R3, Canada; Department of Psychiatry, McGill University, 1033 Pine Avenue West, Montreal, Quebec H3A 1A1, Canada.
| | - Ashok Malla
- Douglas Mental Health University Institute, 6875 LaSalle Blvd, Verdun, Quebec H4H 1R3, Canada; Department of Psychiatry, McGill University, 1033 Pine Avenue West, Montreal, Quebec H3A 1A1, Canada.
| | - Mathieu B Brodeur
- Douglas Mental Health University Institute, 6875 LaSalle Blvd, Verdun, Quebec H4H 1R3, Canada; Department of Psychiatry, McGill University, 1033 Pine Avenue West, Montreal, Quebec H3A 1A1, Canada.
| | - Martin Lepage
- Douglas Mental Health University Institute, 6875 LaSalle Blvd, Verdun, Quebec H4H 1R3, Canada; Department of Psychiatry, McGill University, 1033 Pine Avenue West, Montreal, Quebec H3A 1A1, Canada.
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Lysaker PH, Gagen E, Wright A, Vohs JL, Kukla M, Yanos PT, Hasson-Ohayon I. Metacognitive Deficits Predict Impaired Insight in Schizophrenia Across Symptom Profiles: A Latent Class Analysis. Schizophr Bull 2019; 45:48-56. [PMID: 30321433 PMCID: PMC6293218 DOI: 10.1093/schbul/sby142] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
The integrated model of insight in schizophrenia suggests that poor insight is the result of multiple factors which compromise persons' abilities to integrate streams of information into a personal awareness of psychiatric challenges, and make adaptive responses. This model hypothesizes that metacognitive deficits, or difficulties forming a complex and integrated understanding of the self and others, influence insight, regardless of other proximal causes including clinical profile. To explore this possibility, we performed a latent class analysis on 324 adults with schizophrenia or schizoaffective disorder. This analysis produced 4 groups on the basis of assessment of insight and Positive and Negative Syndrome Scale (PANSS) positive, negative, cognitive, and hostility symptoms. The resultant groups were characterized as: Good Insight/Low Symptoms (n = 71), Impaired Insight/High Negative Symptoms, (n = 43), Impaired Insight/High Positive Symptoms (n = 50) and Impaired Insight/Diffuse Symptoms (n = 160). When we compared metacognitive function as assessed with the Metacognition Assessment Scale - Abbreviated (MAS-A) across groups, we found that the good insight group had better overall metacognition as well as higher levels of self-reflectivity, awareness of the other and mastery as compared to all 3 groups with impaired insight. When controlling for total symptoms, all differences in metacognitive function between the good insight and the impaired insight groups remained significant. These results are consistent with the view that, independent of symptoms, impaired metacognition contributes to difficulties integrating information and hence impedes insight, or awareness of psychiatric challenges. Consistent with extant literature, results suggest that interventions focusing on metacognition as the target may lead to improved insight.
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Affiliation(s)
- Paul H Lysaker
- Department of Psychiatry, Richard L Roudebush VA Medical Center, Indianapolis, IN,Department of Psychiatry Indiana University School of Medicine, Indianapolis, IN,To whom correspondence should be addressed; Department of Psychiatry, Richard L. Roudebush VA Medical Center, 116A, 1481 West 10th St. Indianapolis, IN 46202, US; tel: 317-988-2546, e-mail:
| | - Emily Gagen
- Department of Psychology and Neuroscience University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Abigail Wright
- Department of Psychology University of Sussex, Falmer, Sussex, UK
| | - Jenifer L Vohs
- Department of Psychiatry Indiana University School of Medicine, Indianapolis, IN
| | - Marina Kukla
- Department of Psychiatry, Richard L Roudebush VA Medical Center, Indianapolis, IN
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Xavier RM, Pan W, Dungan JR, Keefe RSE, Vorderstrasse A. Unraveling interrelationships among psychopathology symptoms, cognitive domains and insight dimensions in chronic schizophrenia. Schizophr Res 2018; 193:83-90. [PMID: 28693755 DOI: 10.1016/j.schres.2017.07.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Revised: 06/30/2017] [Accepted: 07/01/2017] [Indexed: 01/21/2023]
Abstract
INTRODUCTION Insight in schizophrenia is long known to have a complex relationship with psychopathology symptoms and cognition. However, very few studies have examined models that explain these interrelationships. METHODS In a large sample derived from the NIMH Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) schizophrenia trial (N=1391), we interrogated these interrelationships for potential causal pathways using structural equation modeling. Using the NIMH consensus model, latent variables were constructed for psychopathology symptom dimensions, including positive, negative, disorganized, excited and depressed from the Positive and Negative Syndrome Scale (PANSS) items. Neurocognitive variables were created from five predefined domains of working memory, verbal memory, reasoning, vigilance and processing speed. Illness insight and treatment insight were tested using latent variables constructed from the Illness and Treatment Attitude Questionnaire (ITAQ). RESULTS Disorganized symptoms had the strongest effect on insight. Illness insight mediated the relationship of positive, depressed, and disorganized symptoms with treatment insight. Neurocognition mediated the relationship between disorganized and treatment insight and depressed symptoms and treatment insight. There was no effect of negative symptoms on either illness insight or treatment insight. Taken together, our results indicate overlapping and unique relational paths for illness and treatment insight dimensions, which could suggest differences in causal mechanisms and potential interventions to improve insight.
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Affiliation(s)
- Rose Mary Xavier
- Duke University School of Nursing, 307 Trent Dr, Durham, NC 27710, United States.
| | - Wei Pan
- Duke University School of Nursing, 307 Trent Dr, Durham, NC 27710, United States.
| | - Jennifer R Dungan
- Duke University School of Nursing, 307 Trent Dr, Durham, NC 27710, United States.
| | - Richard S E Keefe
- Psychiatry and Behavioral Sciences, Duke University School of Medicine, United States.
| | - Allison Vorderstrasse
- Duke University School of Nursing, 307 Trent Dr, Durham, NC 27710, United States; Duke Center for Applied Genomics & Precision Medicine, United States.
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Lysaker PH, Pattison ML, Leonhardt BL, Phelps S, Vohs JL. Insight in schizophrenia spectrum disorders: relationship with behavior, mood and perceived quality of life, underlying causes and emerging treatments. World Psychiatry 2018; 17:12-23. [PMID: 29352540 PMCID: PMC5775127 DOI: 10.1002/wps.20508] [Citation(s) in RCA: 141] [Impact Index Per Article: 20.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Poor insight in schizophrenia is prevalent across cultures and phases of illness. In this review, we examine the recent research on the relationship of insight with behavior, mood and perceived quality of life, on its complex roots, and on the effects of existing and emerging treatments. This research indicates that poor insight predicts poorer treatment adherence and therapeutic alliance, higher symptom severity and more impaired community function, while good insight predicts a higher frequency of depression and demoralization, especially when coupled with stigma and social disadvantage. This research also suggests that poor insight may arise in response to biological, experiential, neuropsychological, social-cognitive, metacognitive and socio-political factors. Studies of the effects of existing and developing treatments indicate that they may influence insight. In the context of earlier research and historical models, these findings support an integrative model of poor insight. This model suggests that insight requires the integration of information about changes in internal states, external circumstances, others' perspectives and life trajectory as well as the multifaceted consequences and causes of each of those changes. One implication is that treatments should, beyond providing education, seek to assist persons with schizophrenia to integrate the broad range of complex and potentially deeply painful experiences which are associated with mental illness into their own personally meaningful, coherent and adaptive picture.
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Affiliation(s)
- Paul H Lysaker
- Roudebush VA Medical Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Michelle L Pattison
- College of Applied Behavioral Sciences, University of Indianapolis, Indianapolis, IN, USA
| | - Bethany L Leonhardt
- Indiana University School of Medicine, Eskenazi Health-Midtown Community Mental Health, Indianapolis, IN, USA
| | | | - Jenifer L Vohs
- Indiana University School of Medicine, Indianapolis, IN, USA
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