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Wolpe N, Vituri A, Jones PB, Shahar M, Fernandez-Egea E. The longitudinal structure of negative symptoms in treatment resistant schizophrenia. Compr Psychiatry 2024; 128:152440. [PMID: 38039918 DOI: 10.1016/j.comppsych.2023.152440] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 10/29/2023] [Accepted: 11/23/2023] [Indexed: 12/03/2023] Open
Abstract
BACKGROUND AND HYPOTHESIS The negative symptoms of schizophrenia are strong prognostic factors but remain poorly understood and treated. Five negative symptom domains are frequently clustered into the motivation and pleasure (MAP) and emotional expression (EE) 'dimensions', but whether this structure remains stable and behaves as a single entity or not remains unclear. STUDY DESIGN We examined a cohort of 153 patients taking clozapine for treatment-resistant schizophrenia in a regional mental health clinic. Patients were assessed longitudinally over a mean period of 45 months using validated scales for positive, negative and mood symptoms. Network analyses were performed to identify symptom 'communities' and their stability over time. The influence of common causes of secondary negative symptoms as well as centrality measures were also examined. STUDY RESULTS Across patients at baseline, two distinct communities matching the clinical domains of MAP and EE were found. These communities remained highly stable and independent over time. The communities remained stabled when considering psychosis, depression, and sedation severity, and these causes of secondary negative symptoms were clustered into the MAP community. Centrality measures also remained stable over time, with similar centrality measures across symptoms. CONCLUSIONS Our results suggest that MAP and EE are independent dimensions that remain highly stable over time in chronic schizophrenia patients treated with clozapine. Common causes of secondary negative symptoms mapped onto the MAP dimension. Our results emphasise the need for clinical trials to address either MAP or EE, and that treating causes of secondary negative symptoms may improve MAP.
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Affiliation(s)
- Noham Wolpe
- Department of Physical Therapy, The Stanley Steyer School of Health Professions, Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel; Sagol School of Neuroscience, Tel Aviv University, Tel Aviv 6997801, Israel; Department of Psychiatry, University of Cambridge, Cambridge CB2 0SZ, UK
| | - Aya Vituri
- Tel Aviv Center for Artificial Intelligence & Data Science (TAD), Tel Aviv University, 6997801, Israel
| | - Peter B Jones
- Department of Psychiatry, University of Cambridge, Cambridge CB2 0SZ, UK; Cambridgeshire and Peterborough NHS Foundation Trust, Fulbourn, Cambridge CB21 5EF, UK
| | - Moni Shahar
- Tel Aviv Center for Artificial Intelligence & Data Science (TAD), Tel Aviv University, 6997801, Israel
| | - Emilio Fernandez-Egea
- Department of Psychiatry, University of Cambridge, Cambridge CB2 0SZ, UK; Cambridgeshire and Peterborough NHS Foundation Trust, Fulbourn, Cambridge CB21 5EF, UK.
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2
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Soares GH, Bado FMR, Lopes AG, Biazevic MGH, Michel-Crosato E, Mialhe FL. Structure and replicability of oral health-related quality of life networks across patients with schizophrenia and the general community. Community Dent Oral Epidemiol 2023; 51:1216-1224. [PMID: 37166109 DOI: 10.1111/cdoe.12865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 03/31/2023] [Accepted: 05/02/2023] [Indexed: 05/12/2023]
Abstract
OBJECTIVES Schizophrenia is a disabling mental disorder associated with severe social dysfunction. Individuals with long-term mental conditions have poorer Oral Health-Related Quality of Life (OHRQoL) compared to the general population, but little is known about the measurement properties of OHRQoL instruments in this group of patients. This study aimed to examine the replicability of OHRQoL networks across samples of the general community (GC) and patients with schizophrenia (PWS). METHODS Data were obtained from 603 community-dwelling participants and 627 patients with schizophrenia. OHRQoL was measured using the short form of the Oral Health Impact Profile (OHIP-14) questionnaire. A regularized partial correlation network was estimated for each sample. The number of dimensions and structural stability were assessed using Exploratory Graph Analysis. Global strength, edge weights and centrality estimates were compared. Network replicability was examined fitting the PWS data to the GC network structure. RESULTS A single OHIP-14 dimension was identified in the GC sample, whereas three dimensions were detected in the PWS sample. Structural consistency was perfect in the network of GC participants (1), and considerably low in at least two dimensions of the PWS network (0.28; 0.65; 0.16). A moderate correlation for node strength estimates was observed (τ: 0.43; 95% CI: 0.13, 0.72), although edge weights were not correlated (τ: 0.025; 95% CI: -0.11, 0.16). The fit of the PWS data to the GC network structure was deemed unacceptable. CONCLUSION Network models of OHRQoL did not replicate across samples of the general community and outpatients with schizophrenia. Prudent use of OHIP-14 to compare measures of OHRQoL between groups with significant cognitive impartment and the general population is recommended.
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Affiliation(s)
- Gustavo Hermes Soares
- Australian Research Centre for Population Oral Health, University of Adelaide, Adelaide, Australia
| | | | | | | | | | - Fabio Luiz Mialhe
- Piracicaba Dental School, University of Campinas, Piracicaba, Brazil
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Rucci P, Caporusso E, Sanmarchi F, Giordano GM, Mucci A, Giuliani L, Pezzella P, Perrottelli A, Bucci P, Rocca P, Rossi A, Bertolino A, Galderisi S, Maj M. The structure stability of negative symptoms: longitudinal network analysis of the Brief Negative Symptom Scale in people with schizophrenia. BJPsych Open 2023; 9:e168. [PMID: 37674282 PMCID: PMC10594087 DOI: 10.1192/bjo.2023.541] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 06/23/2023] [Accepted: 07/06/2023] [Indexed: 09/08/2023] Open
Abstract
BACKGROUND The structure of negative symptoms of schizophrenia is still a matter of controversy. Although a two-dimensional model (comprising the expressive deficit dimension and the motivation and pleasure dimension) has gained a large consensus, it has been questioned by recent investigations. AIMS To investigate the latent structure of negative symptoms and its stability over time in people with schizophrenia using network analysis. METHOD Negative symptoms were assessed in 612 people with schizophrenia using the Brief Negative Symptom Scale (BNSS) at baseline and at 4-year follow-up. A network invariance analysis was conducted to investigate changes in the network structure and strength of connections between the two time points. RESULTS The network analysis carried out at baseline and follow-up, supported by community detection analysis, indicated that the BNSS's items aggregate to form four or five distinct domains (avolition/asociality, anhedonia, blunted affect and alogia). The network invariance test indicated that the network structure remained unchanged over time (network invariance test score 0.13; P = 0.169), although its overall strength decreased (6.28 at baseline, 5.79 at follow-up; global strength invariance test score 0.48; P = 0.016). CONCLUSIONS The results lend support to a four- or five-factor model of negative symptoms and indicate overall stability over time. These data have implications for the study of pathophysiological mechanisms and the development of targeted treatments for negative symptoms.
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Affiliation(s)
- Paola Rucci
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Edoardo Caporusso
- Department of Psychiatry, University of Campania ‘Luigi Vanvitelli’, Naples, Italy
| | - Francesco Sanmarchi
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Giulia M. Giordano
- Department of Psychiatry, University of Campania ‘Luigi Vanvitelli’, Naples, Italy
| | - Armida Mucci
- Department of Psychiatry, University of Campania ‘Luigi Vanvitelli’, Naples, Italy
| | - Luigi Giuliani
- Department of Psychiatry, University of Campania ‘Luigi Vanvitelli’, Naples, Italy
| | - Pasquale Pezzella
- Department of Psychiatry, University of Campania ‘Luigi Vanvitelli’, Naples, Italy
| | - Andrea Perrottelli
- Department of Psychiatry, University of Campania ‘Luigi Vanvitelli’, Naples, Italy
| | - Paola Bucci
- Department of Psychiatry, University of Campania ‘Luigi Vanvitelli’, Naples, Italy
| | - Paola Rocca
- Department of Neuroscience, Section of Psychiatry, University of Turin, Turin, Italy
| | - Alessandro Rossi
- Department of Biotechnological and Applied Clinical Sciences, Section of Psychiatry, University of L'Aquila, L'Aquila, Italy
| | - Alessandro Bertolino
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari ‘Aldo Moro’, Bari, Italy
| | - Silvana Galderisi
- Department of Psychiatry, University of Campania ‘Luigi Vanvitelli’, Naples, Italy
| | - Mario Maj
- Department of Psychiatry, University of Campania ‘Luigi Vanvitelli’, Naples, Italy
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Brasso C, Bellino S, Bozzatello P, Del Favero E, Montemagni C, Rocca P. Inter-relationships among psychopathology, cognition, and real-life functioning in early and late phase schizophrenia: A network analysis approach. Schizophr Res 2023; 256:8-16. [PMID: 37120939 DOI: 10.1016/j.schres.2023.04.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 03/28/2023] [Accepted: 04/19/2023] [Indexed: 05/02/2023]
Abstract
Many illness-related factors contribute to the reduction of the real-life functioning observed in people with schizophrenia (SZ). These include the psychopathological dimensions of the disorder such as positive, negative, disorganization, and depressive symptoms as well as impairment in neurocognition, social cognition, and metacognition. The associations between some of these variables change with the duration of illness (DOI), but this aspect was not explored with a network approach. This study aimed at describing and comparing the inter-relationships between psychopathological, cognitive, and functioning variables in early (DOI ≤ 5 years) and late (DOI > 5 years) phase SZ with network analyses and at assessing which variables were more strictly and directly associated with the real-life functioning. A network representation of the relationships between variables and the calculation of centrality indices were performed within each group. The two groups were compared with a network comparison test. Seventy-five patients with early and ninety-two with late phase SZ were included. No differences in the global network structure and strength were found between the two groups. In both groups, visual learning and disorganization exhibited high centrality indices and disorganization, negative symptoms, and metacognition were directly and strongly associated with real-life functioning. In conclusion, regardless of the DOI, a rehabilitation aimed at improving visual learning and disorganization (i.e., the most central variables) might reduce the strength of the associations that compose the network and therefore indirectly facilitate functional recovery. Simultaneously, therapeutic interventions targeting disorganization and metacognition might directly improve real-life functioning.
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Affiliation(s)
- C Brasso
- Departement of Neuroscience "Rita Levi Montalcini", University of Turin, Italy; Struttura Complessa di Psichiatria Universitaria, Dipartimento di Neuroscienze e Salute Mentale, Azienda Ospedaliero-Universitaria "Città della Salute e della Scienza di Torino", Turin, Italy.
| | - S Bellino
- Departement of Neuroscience "Rita Levi Montalcini", University of Turin, Italy; Struttura Complessa di Psichiatria Universitaria, Dipartimento di Neuroscienze e Salute Mentale, Azienda Ospedaliero-Universitaria "Città della Salute e della Scienza di Torino", Turin, Italy
| | - P Bozzatello
- Departement of Neuroscience "Rita Levi Montalcini", University of Turin, Italy; Struttura Complessa di Psichiatria Universitaria, Dipartimento di Neuroscienze e Salute Mentale, Azienda Ospedaliero-Universitaria "Città della Salute e della Scienza di Torino", Turin, Italy
| | - E Del Favero
- Departement of Neuroscience "Rita Levi Montalcini", University of Turin, Italy; Struttura Complessa di Psichiatria Universitaria, Dipartimento di Neuroscienze e Salute Mentale, Azienda Ospedaliero-Universitaria "Città della Salute e della Scienza di Torino", Turin, Italy
| | - C Montemagni
- Struttura Complessa di Psichiatria Universitaria, Dipartimento di Neuroscienze e Salute Mentale, Azienda Ospedaliero-Universitaria "Città della Salute e della Scienza di Torino", Turin, Italy
| | - P Rocca
- Departement of Neuroscience "Rita Levi Montalcini", University of Turin, Italy; Struttura Complessa di Psichiatria Universitaria, Dipartimento di Neuroscienze e Salute Mentale, Azienda Ospedaliero-Universitaria "Città della Salute e della Scienza di Torino", Turin, Italy
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Suetani S, Wang W. First episode psychosis and beyond: much progress made but much more needed. BMC Psychiatry 2023; 23:143. [PMID: 36882757 PMCID: PMC9993623 DOI: 10.1186/s12888-023-04639-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 02/28/2023] [Indexed: 03/09/2023] Open
Abstract
First episode psychosis remains one of the most critical research areas in psychiatry. Much progress has been made, but more progress is required to translate the ideas and promises into reality. In this Editorial, we provide the context and invite contributions for our BMC Psychiatry Collection on First Episode Psychosis.
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Affiliation(s)
- Shuichi Suetani
- Institute for Urban Indigenous Health, Windsor, QLD, Australia. .,Physical health and mental health stream, Queensland Centre for Mental Health Research, Wacol, QLD, Australia. .,Queensland Brain Institute, The University of Queensland, St Lucia, QLD, Australia. .,School of Medicine and Dentistry, Griffith University, Southport, QLD, Australia.
| | - Wei Wang
- Norwegian University of Science and Technology, Trondheim, Norway
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6
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Psychotic-like experiences as a co-occurring psychopathological indicator of multi-dimensional affective symptoms: Findings from a cross-sectional survey among college students. J Affect Disord 2023; 323:33-39. [PMID: 36435396 DOI: 10.1016/j.jad.2022.11.053] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Revised: 11/05/2022] [Accepted: 11/19/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND Although connections between psychotic-like experiences (PLEs) and a series of non-psychotic disorders have been widely explored in previous research, it is unclear whether PLEs could act as a co-occurring psychopathological indicator of multi-dimensional affective symptoms. METHODS A total of 4761 students took part in an online survey which assessed the frequency of PLEs and three types of affective symptoms over lifetime. Binary logistic regression models were used to examine associations between PLEs and each type of affective symptom. Network analysis was conducted to explore the relationship among three subtypes of PLEs - persecutory ideation (PI), bizarre experiences (BEs) and perceptual abnormalities (PAs), and different types of affective symptoms. RESULTS The results showed that compared with the non-PLEs group, the PLEs group suffered significantly higher risk of experiencing three types of affective symptoms, including manic symptoms [adjusted odds ratio (aOR) 11.50, 95 % confidence interval (CI) (4.59-28.81)], depressive symptoms [aOR 7.28, 95 % CI (4.98-10.66)] and anxiety symptoms [aOR 4.47, 95 % CI (3.10-6.43)]. In the network model, bizarre experiences were the most critical central symptom. Both depressive and anxiety symptoms were most strongly associated with persecutory ideation while manic symptoms were most closely related to bizarre experiences. LIMITATIONS Cross-sectional data and self-reported symptoms. CONCLUSIONS These findings suggest that PLEs are a vital co-occurring indicator of multi-dimensional affective symptoms and show its enormous potential as a target for a host of mental health problems. Further investigation may shed light on the aetiology of the relationship between different subtypes of PLEs and affective symptoms.
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Pelizza L, Leuci E, Quattrone E, Azzali S, Paulillo G, Pupo S, Pellegrini P. Depressive Features in Individuals with First Episode Psychosis: Psychopathological and Treatment Considerations from A 2-Year Follow-Up Study. CLINICAL NEUROPSYCHIATRY 2023; 20:39-47. [PMID: 36936626 PMCID: PMC10016103 DOI: 10.36131/cnfioritieditore20230105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 03/21/2023]
Abstract
Objective Comorbid depression is quite common in early psychosis and specifically related to suicidal behavior and poor long-term outcomes. However, Depressive Symptoms (DS) are often neglected in both research and treatment, especially at the psychosis onset. The goals of this investigation were: (a) to longitudinally explore DS levels in patients with First Episode Psychosis (FEP) during 24 months of follow-up, and (b) to investigate the associations of DS with psychopathology and intervention components of an "Early Intervention in Psychosis" (EIP) program across the follow-up period. Method The Global Assessment of Functioning (GAF) and the Positive And Negative Syndrome Scale (PANSS) were completed by 266 FEP subjects. A linear regression analysis with DS as the dependent parameter and psychopathological and treatment characteristics as independent variables was performed (both at baseline and across the follow-up period). Results DS had enduring associations with PANSS "Positive Symptoms" and "Negative Symptoms" subscores. During the investigation, FEP subjects significantly improved their DS severity levels. This was related to the number of individual psychotherapy meetings supplied within the EIP protocol, as well as to a higher antidepressant dose and a lower antipsychotic dose prescribed during the follow-up. Conclusions DS are quite prominent in FEP, even at the recruitment time in EIP services. Nevertheless, DS severity tends to diminish overtime, especially with the provision of specialized EIP treatments.
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Affiliation(s)
- Lorenzo Pelizza
- Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Largo Palli n. 1/A, 43100 Parma, Italy
- Department of Biomedical and NeuroMotor Sciences, Università di Bologna, via Pepoli n. 5, 40126 Bologna, Italy
- Corresponding author Lorenzo Pelizza c/o Istituto di Psichiatria “Paolo Ottonello” via Pepoli n. 5 40126 Bologna (BO) – Italy Phone: +39 – 051/396502 E-mail:
| | - Emanuela Leuci
- Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Largo Palli n. 1/A, 43100 Parma, Italy
| | - Emanuela Quattrone
- Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Largo Palli n. 1/A, 43100 Parma, Italy
| | - Silvia Azzali
- Department of Mental Health and Pathological Addiction, Azienda USL-IRCCS di Reggio Emilia, via Amendola n.2, 43100 Reggio Emilia, Italy
| | - Giuseppina Paulillo
- Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Largo Palli n. 1/A, 43100 Parma, Italy
| | - Simona Pupo
- Division of Pain Medicine, Department of Medicine and Surgery, Azienda Ospedaliero-Universitaria di Parma, via Gramsci n.14, Parma, Italy
| | - Pietro Pellegrini
- Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Largo Palli n. 1/A, 43100 Parma, Italy
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Sun Y, Zhang Y, Lu Z, Yan H, Guo L, Liao Y, Lu T, Wang L, Li J, Li W, Yang Y, Yu H, Lv L, Zhang D, Bi W, Yue W. Longitudinal Network Analysis Reveals Interactive Change of Schizophrenia Symptoms During Acute Antipsychotic Treatment. Schizophr Bull 2023; 49:208-217. [PMID: 36179110 PMCID: PMC9810008 DOI: 10.1093/schbul/sbac131] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
BACKGROUND AND HYPOTHESIS Complex schizophrenia symptoms were recently conceptualized as interactive symptoms within a network system. However, it remains unknown how a schizophrenia network changed during acute antipsychotic treatment. The present study aimed to evaluate the interactive change of schizophrenia symptoms under seven antipsychotics from individual time series. STUDY DESIGN Data on 3030 schizophrenia patients were taken from a multicenter randomized clinical trial and used to estimate the partial correlation cross-sectional networks and longitudinal random slope networks based on multivariate multilevel model. Thirty symptoms assessed by The Positive and Negative Syndrome Scale clustered the networks. STUDY RESULTS Five stable communities were detected in cross-sectional networks and random slope networks that describe symptoms change over time. Delusions, emotional withdrawal, and lack of spontaneity and flow of conversation featured as central symptoms, and conceptual disorganization, hostility, uncooperativeness, and difficulty in abstract thinking featured as bridge symptoms, all showing high centrality in the random slope network. Acute antipsychotic treatment changed the network structure (M-test = 0.116, P < .001) compared to baseline, and responsive subjects showed lower global strength after treatment (11.68 vs 14.18, S-test = 2.503, P < .001) compared to resistant subjects. Central symptoms and bridge symptoms kept higher centrality across random slope networks of different antipsychotics. Quetiapine treatment network showed improvement in excitement symptoms, the one featured as both central and bridge symptom. CONCLUSION Our findings revealed the central symptoms, bridge symptoms, cochanging features, and individualized features under different antipsychotics of schizophrenia. This brings implications for future targeted drug development and search for pathophysiological mechanisms.
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Affiliation(s)
- Yaoyao Sun
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, P. R. China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, P. R. China
| | - Yuyanan Zhang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, P. R. China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, P. R. China
| | - Zhe Lu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, P. R. China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, P. R. China
| | - Hao Yan
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, P. R. China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, P. R. China
| | - Liangkun Guo
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, P. R. China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, P. R. China
| | - Yundan Liao
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, P. R. China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, P. R. China
| | - Tianlan Lu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, P. R. China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, P. R. China
| | - Lifang Wang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, P. R. China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, P. R. China
| | - Jun Li
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, P. R. China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, P. R. China
| | - Wenqiang Li
- Henan Key Lab of Biological Psychiatry, Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, P. R. China
| | - Yongfeng Yang
- Henan Key Lab of Biological Psychiatry, Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, P. R. China
| | - Hao Yu
- Department of Psychiatry, Jining Medical University, Jining, Shandong, P. R. China
| | - Luxian Lv
- Henan Key Lab of Biological Psychiatry, Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, P. R. China
| | - Dai Zhang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, P. R. China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, P. R. China
- PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
- Chinese Institute for Brain Research, Beijing, P. R. China
| | - Wenjian Bi
- Department of Medical Genetics, School of Basic Medical Sciences, Peking University, Beijing, P. R. China
| | - Weihua Yue
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, P. R. China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, P. R. China
- Henan Key Lab of Biological Psychiatry, Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, P. R. China
- PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
- Chinese Institute for Brain Research, Beijing, P. R. China
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Levin Y, Bachem R, Goodwin R, Hamama-Raz Y, Leshem E, Ben-Ezra M. Relationship between adjustment disorder symptoms and probable diagnosis before and after second lockdown in Israel: longitudinal symptom network analysis. BJPsych Open 2022; 8:e186. [PMID: 36254808 PMCID: PMC9634604 DOI: 10.1192/bjo.2022.588] [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] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND There is cumulative evidence of the importance of exploring the change of dynamics between symptoms over time as reflective of consolidation of psychopathology. AIMS To explore the interactions between symptoms of ICD-11 adjustment disorder before and after the second lockdown of the COVID-19 pandemic in Israel and identify the most central symptoms and their concurrent and prospective associations with probable adjustment disorder. METHOD This is a population-based study drawn from a probability-based internet panel. A representative sample of the adult Israeli population was assessed at two time points (T1, pre-second lockdown, n = 1029, response rate 76.17%; T2, post-second lockdown, n = 764, response rate 74.24%). Symptoms of adjustment disorder were assessed by the International Adjustment Disorder Questionnaire (IADQ). RESULTS Although the overall strength of associations at the two measurement points was similar and two same communities were found, there was a significant change in their structure, with a more consolidated network at T2. The most central item was 'difficult to relax' in both networks. Cross-sectionally, all symptoms of failure to adapt significantly predicted adjustment disorder. 'Worry a lot more' (preoccupation) and 'difficult to adapt to life' (failure to adapt) at T1 significantly predicted this diagnosis at T2. CONCLUSIONS Adjustment disorder symptoms consolidated during the second lockdown of the pandemic. In line with the ICD-11 conceptualisation of adjustment disorder, both preoccupation and failure-to-adapt symptoms have prognostic validity. This highlights the importance of identifying and targeting adjustment disorder symptoms during a period of stress such as the COVID-19 pandemic.
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Affiliation(s)
- Yafit Levin
- School of Social Work, Ariel University, Ariel, Israel
| | - Rahel Bachem
- Department of Psychology, University of Zurich, Zurich, Switzerland
| | - Robin Goodwin
- Department of Psychology, University of Warwick, Coventry, UK
| | | | - Elazar Leshem
- School of Social Work, Ariel University, Ariel, Israel
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10
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Dal Santo F, Fonseca-Pedrero E, García-Portilla MP, González-Blanco L, Sáiz PA, Galderisi S, Giordano GM, Bobes J. Searching for bridges between psychopathology and real-world functioning in first-episode psychosis: A network analysis from the OPTiMiSE trial. Eur Psychiatry 2022; 65:e33. [PMID: 35686446 PMCID: PMC9251819 DOI: 10.1192/j.eurpsy.2022.25] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 05/19/2022] [Accepted: 05/20/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Network analysis has been used to explore the interplay between psychopathology and functioning in psychosis, but no study has used dedicated statistical techniques to focus on the bridge symptoms connecting these domains. The current study aims to estimate the network of depressive, negative, and positive symptoms, general psychopathology, and real-world functioning in people with first-episode schizophrenia or schizophreniform disorder, focusing on bridge nodes. METHODS Baseline data from the OPTiMiSE trial were analyzed. The sample included 446 participants (age 40.0 ± 10.9 years, 70% males). The network was estimated with a Gaussian graphical model, using scores on individual items of the positive and negative syndrome scale (PANSS), the Calgary depression scale for schizophrenia, and the personal and social performance scale. Stability, strength centrality, expected influence (EI), predictability, and bridge centrality statistics were computed. The top 20% scoring nodes on bridge strength were selected as bridge nodes. RESULTS Nodes from different rating scales assessing similar psychopathological and functioning constructs tended to cluster together in the estimated network. The most central nodes (EI) were Delusions, Emotional Withdrawal, Depression, and Depressed Mood. Bridge nodes included Depression, Conceptual Disorganization, Active Social Avoidance, Delusions, Stereotyped Thinking, Poor Impulse Control, Guilty Feelings, Unusual Thought Content, and Hostility. Most of the bridge nodes belonged to the general psychopathology subscale of the PANSS. Depression (G6) was the bridge node with the highest value. CONCLUSIONS The current study provides novel insights for understanding the complex phenotype of psychotic disorders and the mechanisms underlying the development and maintenance of comorbidity and functional impairment after psychosis onset.
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Affiliation(s)
- Francesco Dal Santo
- Área de Psiquiatría, Universidad de Oviedo, Oviedo, Spain
- Servicio de Salud del Principado de Asturias (SESPA), Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
- Instituto de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain
| | - Eduardo Fonseca-Pedrero
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Department of Educational Sciences, University of La Rioja, Logroño, Spain
| | - María Paz García-Portilla
- Área de Psiquiatría, Universidad de Oviedo, Oviedo, Spain
- Servicio de Salud del Principado de Asturias (SESPA), Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
- Instituto de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Leticia González-Blanco
- Área de Psiquiatría, Universidad de Oviedo, Oviedo, Spain
- Servicio de Salud del Principado de Asturias (SESPA), Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
- Instituto de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Pilar A. Sáiz
- Área de Psiquiatría, Universidad de Oviedo, Oviedo, Spain
- Servicio de Salud del Principado de Asturias (SESPA), Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
- Instituto de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Silvana Galderisi
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | | | - Julio Bobes
- Área de Psiquiatría, Universidad de Oviedo, Oviedo, Spain
- Servicio de Salud del Principado de Asturias (SESPA), Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
- Instituto de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
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Kaleda V, Tikhonov D. The course of postpsychotic depressions in adolescence. Zh Nevrol Psikhiatr Im S S Korsakova 2022; 122:17-21. [DOI: 10.17116/jnevro202212206217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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