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Kline EA, Lekkas D, Bryan A, Nemesure MD, Griffin TZ, Collins AC, Price GD, Heinz MV, Nepal S, Pillai A, Campbell AT, Jacobson NC. The role of borderline personality disorder traits in predicting longitudinal variability of major depressive symptoms among a sample of depressed adults. J Affect Disord 2024; 363:492-500. [PMID: 39029689 DOI: 10.1016/j.jad.2024.07.104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 06/07/2024] [Accepted: 07/16/2024] [Indexed: 07/21/2024]
Abstract
BACKGROUND Major depressive disorder (MDD) and borderline personality disorder (BPD) often co-occur, with 20 % of adults with MDD meeting criteria for BPD. While MDD is typically diagnosed by symptoms persisting for several weeks, research suggests a dynamic pattern of symptom changes occurring over shorter durations. Given the diagnostic focus on affective states in MDD and BPD, with BPD characterized by instability, we expected heightened instability of MDD symptoms among depressed adults with BPD traits. The current study examined whether BPD symptoms predicted instability in depression symptoms, measured by ecological momentary assessments (EMAs). METHODS The sample included 207 adults with MDD (76 % White, 82 % women) recruited from across the United States. At the start of the study, participants completed a battery of mental health screens including BPD severity and neuroticism. Participants completed EMAs tracking their depression symptoms three times a day over a 90-day period. RESULTS Using self-report scores assessing borderline personality disorder (BPD) traits along with neuroticism scores and sociodemographic data, Bayesian and frequentist linear regression models consistently indicated that BPD severity was not associated with depression symptom change through time. LIMITATIONS Diagnostic sensitivity and specificity may be restricted by use of a self-report screening tool for capturing BPD severity. Additionally, this clinical sample of depressed adults lacks a comparison group to determine whether subclinical depressive symptoms present differently among individuals with BPD only. CONCLUSIONS The unexpected findings shed light on the interplay between these disorders, emphasizing the need for further research to understand their association.
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Affiliation(s)
- Emily A Kline
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States of America; Department of Psychology, Montclair State University, Montclair, NJ, United States of America; Department of Psychiatry, Dartmouth-Hitchcock Medical Center, Lebanon, NH, United States of America.
| | - Damien Lekkas
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States of America; Quantitative Biomedical Sciences Program, Dartmouth College, Hanover, NH, United States of America
| | - Anastasia Bryan
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States of America
| | - Matthew D Nemesure
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States of America; Quantitative Biomedical Sciences Program, Dartmouth College, Hanover, NH, United States of America; Digital Data Design Institute, Harvard Business School, Boston, MA, United States of America
| | - Tess Z Griffin
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States of America
| | - Amanda C Collins
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States of America; Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States of America
| | - George D Price
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States of America; Quantitative Biomedical Sciences Program, Dartmouth College, Hanover, NH, United States of America
| | - Michael V Heinz
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States of America; Department of Psychiatry, Dartmouth-Hitchcock Medical Center, Lebanon, NH, United States of America
| | - Subigya Nepal
- Department of Computer Science, Dartmouth College, Hanover, NH, United States of America
| | - Arvind Pillai
- Department of Computer Science, Dartmouth College, Hanover, NH, United States of America
| | - Andrew T Campbell
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States of America; Department of Computer Science, Dartmouth College, Hanover, NH, United States of America
| | - Nicholas C Jacobson
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States of America; Quantitative Biomedical Sciences Program, Dartmouth College, Hanover, NH, United States of America; Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States of America; Department of Computer Science, Dartmouth College, Hanover, NH, United States of America
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Chuku CC, Silva MF, Lee JS, Reid R, Lazarus K, Carrico AW, Dale SK. A network analysis of positive psychosocial factors and indication of suboptimal HIV care outcomes among Black women living with HIV. AIDS Care 2024; 36:1410-1423. [PMID: 38958126 DOI: 10.1080/09540121.2024.2372714] [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: 02/27/2024] [Accepted: 06/21/2024] [Indexed: 07/04/2024]
Abstract
Black women living with HIV (BWLWH) face barriers that impact health outcomes. However, positive psychosocial indicators may influence HIV care outcomes. Among this cross-sectional study of 119 BWLWH, a network analysis was utilized to examine relationships between positive psychosocial factors and HIV-related health outcomes. A preliminary polychoric analysis was conducted to examine correlations between the variables, and the network analyzed connections between resilience, self-efficacy, self-esteem, perceived social support, religious coping, post-traumatic growth, and an indicator variable for suboptimal HIV care outcomes (low medication adherence, detectable viral load, and missed HIV-related health visits) and determined the centrality measures within the network. Seven significant associations were found among the factors: self-efficacy and self-esteem, post-traumatic growth and resilience, post-traumatic growth and self-efficacy, post-traumatic growth and religious coping, perceived social support and resilience, self-esteem and resilience, self-esteem and perceived social support (bootstrapped 95% CI did not contain zero). Self-efficacy was the strongest indicator associated with the other factors. Although not statistically significant, the indicator for suboptimal HIV care outcomes was negatively associated with perceived social support and religious coping. Future interventions incorporating self-efficacy may be beneficial to the overall well-being of Black women.
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Affiliation(s)
- Chika Christle Chuku
- Department of Public Health, University of Miami Miller School of Medicine, Miami, FL, USA
- Department of Health Promotion and Disease Prevention, Florida International University, Miami, FL, USA
| | - Maria F Silva
- Department of Psychology, University of Miami, Coral Gables, FL, USA
| | - Jasper S Lee
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Behavioral Medicine Program, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Rachelle Reid
- Department of Psychology, University of Miami, Coral Gables, FL, USA
| | - Kimberly Lazarus
- Department of Psychology, University of Miami, Coral Gables, FL, USA
| | - Adam W Carrico
- Department of Health Promotion and Disease Prevention, Florida International University, Miami, FL, USA
| | - Sannisha K Dale
- Department of Psychology, University of Miami, Coral Gables, FL, USA
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Liu C, Rotaru K, Wang Z, Li K, Cui LB, Li J, Wei X, Liu X, Albertella L, Ren L. Examining network structure of impulsivity and depression in adolescents and young adults: A two-sample study. J Affect Disord 2024; 362:54-61. [PMID: 38914162 DOI: 10.1016/j.jad.2024.06.073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 04/23/2024] [Accepted: 06/19/2024] [Indexed: 06/26/2024]
Abstract
BACKGROUND Depression ranks as one of the top five contributors to ill health in youth, the most formative period in life. Extensive research has highlighted the significant role of impulsivity in understanding depression. However, there has been limited exploration into how each dimension of impulsivity uniquely affect depressive symptoms, especially across crucial developmental stages like adolescence and young adulthood. METHODS This study investigates the unique relationships between impulsivity (assessed by the short UPPS-P scale) and depression (assessed by the Patient Health Questionnaire-9) via network analysis. We analysed data from a total of 2296 participants, comprising 858 adolescents aged 14-17 years and 1438 young adults aged 18-25 years, to estimate both a combined network and age-group specific networks. Key features of the networks, including their structure, global connectivity, and bridge nodes, were compared. RESULTS The results indicated that age differentially impacts individual depression symptoms, both directly and indirectly, via impulsivity dimensions. The comparison test revealed consistent network structures between the two age groups, with several robust pathways, such as lack of perseverance to concentration difficulties, sensation seeking to suicidal ideation, and negative urgency to feelings of worthlessness. Negative urgency and lack of perseverance were identified as bridge nodes across the two networks. LIMITATIONS The study employed a cross-sectional design, which limits the ability to estimate causal or temporal relationships. CONCLUSIONS The current findings highlight the significance of tailoring intervention strategies to individual symptom profiles and assessing negative urgency and lack of perseverance as potential early targets for depression among youth.
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Affiliation(s)
- Chang Liu
- BrainPark, Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Victoria, Australia
| | - Kristian Rotaru
- BrainPark, Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Victoria, Australia; Monash Business School, Monash University, Victoria, Australia
| | - Ziwei Wang
- Department of Military Medical Psychology, Air Force Medical University, Xi'an, China
| | - Kuiliang Li
- School of Psychology, Army Medical University, Chongqing, China
| | - Long-Biao Cui
- Shaanxi Provincial Key Laboratory of Clinic Genetics, Air Force Medical University, Xi'an, China
| | - Jiayi Li
- Military Psychology Section, Logistics University of the People's Armed Police Force, Tianjin, China
| | - Xinyi Wei
- Department of Psychology, Renmin University of China, Beijing, China
| | - Xufeng Liu
- Department of Military Medical Psychology, Air Force Medical University, Xi'an, China
| | - Lucy Albertella
- BrainPark, Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Victoria, Australia
| | - Lei Ren
- Military Psychology Section, Logistics University of the People's Armed Police Force, Tianjin, China; Military Mental Health Services & Research Centre, Tianjin, China.
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Richard-Devantoy S, Berlim MT, Garel N, Inja A, Turecki G. The impact of antidepressant treatment on the network structure of neurocognition and core emotional depressive symptoms among depressed individuals with a history of suicide attempt: An 8-week clinical study. J Affect Disord 2024; 361:425-433. [PMID: 38823590 DOI: 10.1016/j.jad.2024.05.111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 05/20/2024] [Accepted: 05/22/2024] [Indexed: 06/03/2024]
Abstract
BACKGROUND A more in-depth understanding of the relationship between depressive symptoms, neurocognition and suicidal behavior could provide insights into the prognosis and treatment of major depressive disorder (MDD) and suicide. We conducted a network analysis among depressed patients examining associations between history of suicide attempt (HSA), core emotional major depression disorder, and key neurocognitive domains. METHOD Depressed patients (n = 120) aged 18-65 years were recruited from a larger randomized clinical trial conducted at the Douglas Institute in Montreal, Canada. They were randomly assigned to receive one of two antidepressant treatments (i.e., escitalopram or desvenlafaxine) for 8 weeks. Core emotional MDD and key neurocognitive domains were assessed pre-post treatment. RESULTS At baseline, an association between history of suicide attempt (HSA) and phonemic verbal fluency (PVF) suggested that HSA patients reported lower levels of the latter. After 8 weeks of antidepressant treatment, HSA became conditionally independent from PVF. Similar results were found for both the HAM-D and the QIDS-SR core emotional MDD/neurocognitive networks. CONCLUSION Network analysis revealed a pre-treatment relationship between a HSA and decreased phonemic VF among depressed patients, which was no longer present after 8 weeks of antidepressant treatment.
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Affiliation(s)
- Stéphane Richard-Devantoy
- McGill University & Douglas Mental Health Research Institute, McGill Group for Suicide Studies, Montréal, Québec, Canada; CISSS des Laurentides, Department of Psychiatry, Saint-Jérôme, Canada.
| | - Marcelo T Berlim
- McGill University & Douglas Mental Health Research Institute, McGill Group for Suicide Studies, Montréal, Québec, Canada
| | - Nicolas Garel
- McGill University & Douglas Mental Health Research Institute, McGill Group for Suicide Studies, Montréal, Québec, Canada
| | - Ayla Inja
- McGill University & Douglas Mental Health Research Institute, McGill Group for Suicide Studies, Montréal, Québec, Canada
| | - Gustavo Turecki
- McGill University & Douglas Mental Health Research Institute, McGill Group for Suicide Studies, Montréal, Québec, Canada.
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Nunes A, Pavlova B, Cunningham JEA, Nuñez JJ, Quilty LC, Foster JA, Harkness KL, Ho K, Lam RW, Li QS, Milev R, Rotzinger S, Soares CN, Taylor VH, Turecki G, Kennedy SH, Frey BN, Rudzicz F, Uher R. Depression-Anxiety Coupling Strength as a predictor of relapse in major depressive disorder: A CAN-BIND wellness monitoring study report. J Affect Disord 2024; 361:189-197. [PMID: 38866253 DOI: 10.1016/j.jad.2024.06.023] [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: 02/05/2024] [Revised: 06/01/2024] [Accepted: 06/05/2024] [Indexed: 06/14/2024]
Abstract
BACKGROUND A critical challenge in the study and management of major depressive disorder (MDD) is predicting relapse. We examined the temporal correlation/coupling between depression and anxiety (called Depression-Anxiety Coupling Strength, DACS) as a predictor of relapse in patients with MDD. METHODS We followed 97 patients with remitted MDD for an average of 394 days. Patients completed weekly self-ratings of depression and anxiety symptoms using the Quick Inventory of Depressive Symptoms (QIDS-SR) and the Generalized Anxiety Disorder 7-item scale (GAD-7). Using these longitudinal ratings we computed DACS as random slopes in a linear mixed effects model reflecting individual-specific degree of correlation between depression and anxiety across time points. We then tested DACS as an independent variable in a Cox proportional hazards model to predict relapse. RESULTS A total of 28 patients (29 %) relapsed during the follow-up period. DACS significantly predicted confirmed relapse (hazard ratio [HR] 1.5, 95 % CI [1.01, 2.22], p = 0.043; Concordance 0.79 [SE 0.04]). This effect was independent of baseline depressive or anxiety symptoms or their average levels over the follow-up period, and was identifiable more than one month before relapse onset. LIMITATIONS Small sample size, in a single study. Narrow phenotype and comorbidity profiles. CONCLUSIONS DACS may offer opportunities for developing novel strategies for personalized monitoring, early detection, and intervention. Future studies should replicate our findings in larger, diverse patient populations, develop individual patient prediction models, and explore the underlying mechanisms that govern the relationship of DACS and relapse.
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Affiliation(s)
- Abraham Nunes
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada; Faculty of Computer Science, Dalhousie University, Halifax, Nova Scotia, Canada; Mood Disorders Program, Nova Scotia Health Authority, Halifax, NS, Canada.
| | - Barbara Pavlova
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada; Mood Disorders Program, Nova Scotia Health Authority, Halifax, NS, Canada
| | | | - John-Jose Nuñez
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Lena C Quilty
- Campbell Family Mental Health Research Institute, CAMH, Toronto, ON, Canada
| | - Jane A Foster
- Department of Psychiatry & Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada; Mood Disorders Treatment and Research Centre, St. Joseph's Healthcare Hamilton, ON, Canada; Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA
| | - Kate L Harkness
- Department of Psychology, Queen's University, Kingston, Ontario, Canada
| | - Keith Ho
- Mood Disorders Treatment and Research Centre, St. Joseph's Healthcare Hamilton, ON, Canada
| | - Raymond W Lam
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Qingqin S Li
- Neuroscience, Janssen Research & Development, LLC, Titusville, NJ, USA
| | - Roumen Milev
- Department of Psychiatry, Providence Care, Queen's University, Kingston, ON, Canada
| | - Susan Rotzinger
- Mood Disorders Treatment and Research Centre, St. Joseph's Healthcare Hamilton, ON, Canada
| | - Claudio N Soares
- Department of Psychiatry, Providence Care, Queen's University, Kingston, ON, Canada
| | - Valerie H Taylor
- Cumming School of Medicine, Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Gustavo Turecki
- Douglas Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Sidney H Kennedy
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Benicio N Frey
- Department of Psychiatry & Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada; Mood Disorders Treatment and Research Centre, St. Joseph's Healthcare Hamilton, ON, Canada
| | - Frank Rudzicz
- Faculty of Computer Science, Dalhousie University, Halifax, Nova Scotia, Canada; Vector Institute for Artificial Intelligence, Toronto, Ontario, Canada
| | - Rudolf Uher
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada; Mood Disorders Program, Nova Scotia Health Authority, Halifax, NS, Canada
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Zhang WX, Yang MB, Zhang KC, Xi M, Si SB. Characteristics of symptoms and development of psychological status in late Chinese adolescence. J Affect Disord 2024; 361:310-321. [PMID: 38851434 DOI: 10.1016/j.jad.2024.05.147] [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: 12/12/2023] [Revised: 05/04/2024] [Accepted: 05/27/2024] [Indexed: 06/10/2024]
Abstract
BACKGROUND Many late adolescents experience a state of psychological sub-health, requiring early recognition and intervention. This study aims to assess the psychological state of late Chinese adolescents and uncover developmental trend of mental health through network analysis. METHOD We analyzed data from 9072 Chinese high school adolescents in Shandong Province surveyed in 2020-2021, and divided them into the normal, the suspected, and the abnormal groups based on Symptom Checklist 90 (SCL-90) scores. Network analysis was employed to identify the core symptoms and bridge symptoms across different states. RESULTS Anxiety and depression were the most central symptoms, without gender differences. Core symptoms, network structure, and network invulnerability varied across different psychological states. The abnormal group exhibited the highest value of natural connectivity, followed by the suspected and normal groups. This pattern extended to bridge networks. While not meeting diagnostic criteria, the suspected group demonstrated abnormalities in network edge invariance and global strength invariance. LIMITATIONS The cross-sectional design cannot establish causality, and biases in self-report measurements cannot be ignored. CONCLUSION Compared to traditional scale indicators, network structural characteristics may be a more sensitive assessment indicator.
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Affiliation(s)
- Wei-Xia Zhang
- Department of Physical Education, Northwestern Polytechnical University, Xi'an, China
| | - Meng-Bi Yang
- School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an, China
| | - Ke-Chuang Zhang
- School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an, China
| | - Min Xi
- Hospital of Northwestern Polytechnical University, Xi'an, China; The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, The Key Laboratory of Neuro-informatics and Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, China
| | - Shu-Bin Si
- School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an, China; Key Laboratory of Industrial Engineering and Intelligent Manufacturing (Ministry of Industry and Information Technology), Xi'an, China.
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Wu H, Meng G, Wang L, Xiao J, Hu K, Li Q. Understanding the relationships among adolescents' internet dependence, reward, cognitive control processing, and learning burnout: a network perspective in China. BMC Psychiatry 2024; 24:599. [PMID: 39238001 DOI: 10.1186/s12888-024-06025-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2024] [Accepted: 08/16/2024] [Indexed: 09/07/2024] Open
Abstract
Alterations in the reward and cognitive control systems are commonly observed among adolescents with internet dependence (ID), and this impairment is often accompanied by social dysfunctions, such as academic burnout. However, the intercorrelations among ID, reward, cognitive control processing, and learning burnout remain unclear. We recruited 1074 Chinese adolescents to investigate the complex interrelationships among these variables using network analysis. The resulting network revealed patterns that connected ID to the behavioral inhibition/activation system (BIS/BAS), self-control, and learning burnout; these results exhibited reasonable stability and test-retest consistency. Throughout the network, the node of BAS-drive was the critical influencing factor, and the node of self-control was the protection factor. In addition, several symptoms of learning burnout and ID were positively associated with sensitivity to punishment. As revealed by the network comparison test, the network constructed among internet dependent (ID) group differed from the network constructed among internet nondependent (IND) group not only in the edges between BIS and learning burnout but also in terms of the edges associated with learning burnout. In conclusion, this study provides insights into the complex mechanisms underlying ID among adolescents from the perspective of the network relationships between core influencing factors and negative consequences. It validates the dual-system model of risky behavior among adolescents and offers a foundation for early warning and interventions for ID in this context.
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Affiliation(s)
- Haotian Wu
- Beijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing, 100048, China
| | - Guangteng Meng
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Lingxiao Wang
- Institute of Psychological Science, Hangzhou Normal University, Hangzhou, Zhejiang Province, China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, China
| | - Jing Xiao
- Beijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing, 100048, China.
| | - Kesong Hu
- Department of Psychology, University of Arkansas, Little Rock, AR, USA.
| | - Qi Li
- Beijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing, 100048, China.
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Chen Y, Fu W, Song X, Hu Y, Wang J, Hao W, He L, Diané M, Souaré IS, Guo W, Lv C, Han X, Yan S. The bridge relationships of PTSD and depression symptoms among snakebite victims: a cross-sectional community-based survey. BMC Psychol 2024; 12:470. [PMID: 39232849 DOI: 10.1186/s40359-024-01964-7] [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: 06/16/2024] [Accepted: 08/22/2024] [Indexed: 09/06/2024] Open
Abstract
BACKGROUND The incidence of comorbid depression and post-traumatic stress disorder (PTSD) symptoms is higher in snakebite victims. However, the present state and contributing factors of depression and PTSD among Chinese snakebite victims remain unclear. METHODS A representative sample of 6837 snakebite victims were assessed with the Post-traumatic Stress Disorder Checklist (Civilian Version) and The Center for Epidemiologic Studies Depression Scale. Multivariate analyses, including network analysis, evaluated the contributing factors of PTSD and depression symptoms caused by snake bites, as well as the bridge symptoms of comorbidity networks. RESULTS Among 6,837 snakebite victims, 79.5% reported PTSD symptoms and 81.4% reported depression symptoms. Comorbidity of PTSD and depression symptoms was found in 75.1%. Key factors included the presence sequelae after snakebite (ORPTSD = 2.31, ORDepression = 1.89), time to medical facilities (6-8 h: ORPTSD = 3.17, ORDepression = 2.46), and marital status (divorced/widowed: ORPTSD = 1.78, ORDepression = 1.76). Symptoms I1 ("Repeated disturbing memories") and D1 ("Bothered by things that don't usually bother me") bridged PTSD and depression networks. CONCLUSION The primary psychological challenges for snakebite victims in China are PTSD and depression symptoms, which is concerning. Standardized diagnosis and treatments, timely medical care, and stable marital relationships can reduce risks. Additional psychological support and management of negative memories, especially for those with severe bridge symptoms, can be beneficial. Further research should concentrate on understanding victims' psychological states and developing effective interventions.
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Affiliation(s)
- Yu Chen
- School of Public Health, Hainan Medical University, Haikou, Hainan, China
| | - Wenning Fu
- School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xingyue Song
- Department of Emergency, Hainan Clinical Research Center for Acute and Critical Diseases, The Second Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China
| | - Yanlan Hu
- School of Public Health, Hainan Medical University, Haikou, Hainan, China
| | - Juntao Wang
- School of Public Health, Hainan Medical University, Haikou, Hainan, China
| | - Wenjie Hao
- School of Public Health, Hainan Medical University, Haikou, Hainan, China
| | - Lanfen He
- School of Public Health, Hainan Medical University, Haikou, Hainan, China
| | - Mohamed Diané
- China-Guinea Friendship Hospital, Kipe Ratoma 030 BP710 Guinea Friendship Hospital, Conakry, Guinea
| | - Ibrahima Sory Souaré
- China-Guinea Friendship Hospital, Kipe Ratoma 030 BP710 Guinea Friendship Hospital, Conakry, Guinea
| | - Wei Guo
- Emergency Department, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Chuanzhu Lv
- Emergency Medicine Center, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
- Research Unit of Island Emergency Medicine, Chinese Academy of Medical Sciences (No. 2019RU013), Hainan Medical University, Haikou, Hainan, China
| | - Xiaotong Han
- Department of Emergency Medicine, Hunan Provincial Key Laboratory of Emergency and Critical Care Metabolomics, Hunan Provincial Institute of Emergency Medicine, Hunan Provincial People's Hospital/The First Affiliated Hospital, Hunan Normal University, Changsha, Hunan, China.
| | - Shijiao Yan
- School of Public Health, Hainan Medical University, Haikou, Hainan, China.
- Research Unit of Island Emergency Medicine, Chinese Academy of Medical Sciences (No. 2019RU013), Hainan Medical University, Haikou, Hainan, China.
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Bai X, Zhou Y, Lv X, Li J, Wang L, Gao X. Clarifying the relationship between insecure attachment and problematic social media use across platforms: a network analysis. Soc Psychiatry Psychiatr Epidemiol 2024:10.1007/s00127-024-02756-5. [PMID: 39230735 DOI: 10.1007/s00127-024-02756-5] [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: 05/27/2024] [Accepted: 08/28/2024] [Indexed: 09/05/2024]
Abstract
BACKGROUND Despite evidence suggesting that insecure attachment is a significant risk factor for Problematic Social Media Use (PSMU), there remains a lack of comprehensive studies exploring this relationship, and a unified understanding of its role has yet to be established. METHODS We employed network analysis to construct an integrated model for examining the complex interrelations between negative emotions, trait and state attachment, motives, and PSMU across three platforms (i.e., WeChat, Sina Weibo, and TikTok), as well as for identifying potential mediating variables between attachment and PSMU. Data were collected from 685 young adults via online self-reported questionnaires. RESULTS We found that negative emotions are positively correlated with insecure trait and state attachment but have a negligible direct relationship with PSMU. The conformity motive and state attachment security emerged as important central nodes when measured by strength, closeness, and betweenness. Moreover, attachment states and motives were found to be clustered. Such strong interrelationships were also evident between insecure attachment and PSMU, while trait attachment anxiety and avoidance were observed to be related to PSMU across various platforms. CONCLUSIONS Our findings promote a deeper understanding of the relationship between insecure attachment and PSMU from a cross-platform perspective and offer novel insights into the mechanisms underlying their co-occurrence, which may guide the development of effective interventions for healthier social media engagement.
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Affiliation(s)
- Xujia Bai
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University, Chongqing, China
| | - Yuhong Zhou
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University, Chongqing, China
| | - Xin Lv
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University, Chongqing, China
| | - Jiayu Li
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University, Chongqing, China
| | - Ling Wang
- School of General Education, Chongqing Vocational Institute of Engineering, Chongqing, China
| | - Xuemei Gao
- Psychological Research and Consultation Center, Southwest Jiaotong University, Chengdu, China.
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10
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Martini M, Longo P, Toppino F, De Bacco C, Preti A, Abbate-Daga G, Panero M. The structure of motivation: Assessing readiness to change dimensions and their predictive value with the network validation of the Italian version of the Anorexia Nervosa Stages of Change Questionnarie. EUROPEAN EATING DISORDERS REVIEW 2024. [PMID: 39229765 DOI: 10.1002/erv.3133] [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: 02/27/2024] [Revised: 08/22/2024] [Accepted: 08/28/2024] [Indexed: 09/05/2024]
Abstract
OBJECTIVE Motivation to change is an important predictor for treatment outcomes in individuals with anorexia nervosa (AN), however, the existence and clinical relevance of distinct motivational dimensions are understudied. This study aimed to structurally validate the AN Stage of Change Questionnaire (ANSOCQ) in the Italian adult AN population to identify separate motivational dimensions and their association with clinical variables and outcomes. METHOD Inpatients and outpatients with AN (N = 300) completed the ANSOCQ and measures assessing eating and depressive psychopathology. Unique Variable Analysis and Exploratory Graph Analysis were employed to identify dimensions in the network structure of ANSOCQ. Cross-sectional associations with clinical variables were assessed in the whole sample. Predictive value on weight and psychopathology was assessed in inpatients. RESULTS Two dimensions were identified, one comprising items relative to weight gain, and the second items regarding attitudes towards eating, body, and emotional problems. Feelings associated with eating resulted as most central in the network. Higher scores in the first dimension and ANSOCQ total predicted weight gain during hospitalisation. No significant predictors emerged for changes in eating psychopathology. DISCUSSION These findings confirm the robust psychometric properties of ANSOCQ and provide support for the use of its subdimensions in clinical practice.
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Affiliation(s)
- Matteo Martini
- Eating Disorders Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy
| | - Paola Longo
- Eating Disorders Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy
| | - Federica Toppino
- Eating Disorders Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy
| | - Carlotta De Bacco
- Eating Disorders Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy
| | - Antonio Preti
- Eating Disorders Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy
| | - Giovanni Abbate-Daga
- Eating Disorders Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy
| | - Matteo Panero
- Eating Disorders Center, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy
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11
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Zhan N, Li F, Fung HW, Zhang K, Wang J, Geng F. A symptom level perspective on irritability, PTSD, and depression in children and adults. J Affect Disord 2024:S0165-0327(24)01446-0. [PMID: 39236894 DOI: 10.1016/j.jad.2024.08.213] [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: 12/22/2023] [Revised: 08/12/2024] [Accepted: 08/31/2024] [Indexed: 09/07/2024]
Abstract
BACKGROUND Although irritability is a prominent clinical manifestation among traumatized populations, its relationships with other psychopathology are rarely studied. Adopting a symptom-level perspective, this study aimed to explore how symptoms of irritability, posttraumatic stress disorder (PTSD), and depression are associated. METHOD The Brief Irritability Test, the PTSD Checklist for DSM-5, and the Patient Health Questionnaire-9 were used to measure irritability, PTSD, and depression, respectively, in a large sample of trauma-exposed children and adolescents (n = 5454), trauma-exposed adults (n = 4718), and children and adolescents with probable PTSD (n = 556). Exploratory graph analysis (EGA) and network analysis were conducted to examine potential communities and significant relations. RESULTS Although irritability, PTSD, and depression were highly correlated at the disorder level, EGA results indicated that, at the symptom level, they formed highly stable and dense communities, respectively. Relations across disorders mainly emerged at symptoms related to negative cognition, dysphoria, and suicidal thoughts. Especially, strong transdiagnostic relations across all samples were "negative belief" and "suicidal thoughts", "numbing" and "suicidal thoughts", "startle" and "moving slowly or restless", "bothering" and "moving slowly or restless". Furthermore, irritability symptoms seem more central than PTSD and depression symptoms, with "snap" being the most central node across all networks, especially in the child and adolescent sample. CONCLUSION Irritability, PTSD, and depression are relatively independent constructs when analyzed at the symptom level. Irritability symptoms emerged as core symptoms in trauma-exposed populations. Our findings highlight the importance of independent assessment of irritability in the diagnosis and treatment of PTSD.
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Affiliation(s)
- Nalan Zhan
- School of Psychology, Jiangxi Normal University, Nanchang, China
| | - Fan Li
- School of Psychology, Jiangxi Normal University, Nanchang, China
| | - Hong Wang Fung
- Department of Social Work, Hong Kong Baptist University, Hong Kong
| | - Kailiang Zhang
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine and Institute of Brain and Brain-Inspired Science, Shandong University, Jinan 250012, China.
| | - Jian Wang
- Shenzhen Mental Health Center, Shenzhen Kangning Hospital, Shenzhen, China
| | - Fulei Geng
- School of Psychology, Jiangxi Normal University, Nanchang, China.
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12
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Fuchshuber J, Senra H, Löffler-Stastka H, Alexopolos J, Roithmeier L, Prandstätter T, Unterrainer HF. Investigating the network ties between affect, attachment, and psychopathology. J Affect Disord 2024; 367:S0165-0327(24)01456-3. [PMID: 39236881 DOI: 10.1016/j.jad.2024.08.219] [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: 05/18/2024] [Revised: 08/20/2024] [Accepted: 08/31/2024] [Indexed: 09/07/2024]
Abstract
OBJECTIVES Recent years have seen an increased interest regarding theoretical and empirical associations of adult attachment security and primary affective traits concerning psychiatric disorders. In this study, network analysis technique is applied to dissect the links between both psychodynamic personality constructs and an array of psychopathological symptoms. METHODS A total sample of 921 (69.9 % female) participants from the general population was investigated. A regularized cross-sectional partial correlation network between attachment (Experiences in Close Relationships-Revised [ECR-RD8]), primary affective traits (Brief Affective Neuroscience Personality Scales [BANPS-GL]) and psychopathological symptoms (ICD-10-Symptom-Rating Questionnaire [ISR]) was estimated via the EBICglasso algorithm. Node centrality, predictability and bridge centrality were analyzed. To evaluate the stability of the network and evaluate the significance of differences, we employed bootstrap techniques. RESULTS The network was found to be stable, allowing reliable interpretations. We observed SADNESS, as well as depressive, PTSD and anxiety symptoms as the most influential nodes within the investigated network. Attachment AV and SADNESS were observed as nodes with the highest bridge centrality. CONCLUSIONS The results provide a data-driven in-depth look into the complex dynamics between psychopathological symptoms, attachment security and basic affective traits. Results underscore the critical interconnections between affect, attachment, and psychopathology, advocating for a psychodynamically informed systems approach in psychological research that considers the affective dimensions underlying human mental health.
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Affiliation(s)
- Jürgen Fuchshuber
- Department of Psychoanalysis and Psychotherapy, Medical University Vienna, Austria; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University Vienna, Austria; Center for Integrative Addiction Research (CIAR), Grüner Kreis Society, Vienna, Austria
| | - Hugo Senra
- IEETA, University of Aveiro, Portugal; School of Health and Social Care, University of Essex, UK
| | - Henriette Löffler-Stastka
- Department of Psychoanalysis and Psychotherapy, Medical University Vienna, Austria; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University Vienna, Austria
| | - Johanna Alexopolos
- Department of Psychoanalysis and Psychotherapy, Medical University Vienna, Austria; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University Vienna, Austria
| | - Lisa Roithmeier
- Institute of Psychology, University of Graz, Austria; University Clinic for Psychiatry and Psychotherapeutic Medicine, Medical University Graz, Graz, Austria
| | | | - Human-Friedrich Unterrainer
- Center for Integrative Addiction Research (CIAR), Grüner Kreis Society, Vienna, Austria; University Clinic for Psychiatry and Psychotherapeutic Medicine, Medical University Graz, Graz, Austria; Department of Religious Studies, University of Vienna, Vienna, Austria; Faculty of Psychotherapy Science, Sigmund Freud University Vienna, Vienna, Austria.
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13
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Rodrigues A, Santos HC, Ferreira S, Diogo V, Costa M, Brissos S, Marques JG, Prata D. An exploration of blood-based biomarkers of negative symptoms of psychosis in men. J Psychiatr Res 2024; 177:256-263. [PMID: 39047549 DOI: 10.1016/j.jpsychires.2024.06.050] [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: 10/18/2023] [Revised: 05/31/2024] [Accepted: 06/28/2024] [Indexed: 07/27/2024]
Abstract
Negative symptoms in the context of psychosis are still poorly understood and diagnosed, which impairs the treatment efficacy of current therapies and patient's integration in society. In this study, we aimed to test hypothesis-based and exploratory associations of negative symptom domains, as defined by the Brief Negative Symptom Scale (BNSS), with hormonal and hematological variables, and, complementarily, with standard psychological/cognitive and psychopathological measures. Fifty-one male patients diagnosed with a psychotic disorder underwent a structured interview and blood collection. Standard Spearmen bivariate correlations were used for data analysis. We obtained evidence of hypothesis-based associations between specific negative symptoms and oxytocin, thyroid stimulating hormone levels and neutrophil-to-lymphocyte ratio; as well as novel and hypothesis-free associations with erythrocyte and lymphocyte count, mean corpuscular volume and red cell distribution width. Complementarily, we also obtained some validation of previous associations of negative symptoms with illness resolution, cognitive symptom severity and social performance, and a novel association with anger contagion. We hope our results can generate new hypotheses in psychosis research. Our work suggests further avenues in research on erythrocytic, inflammatory, thyroid and oxytocin-related markers and abnormalities in psychosis, especially in regards to specific negative symptoms, towards more precise and comprehensive etiological, diagnostic and therapeutic models.
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Affiliation(s)
- Alexandra Rodrigues
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências da Universidade de Lisboa, Lisboa, Portugal; Neuroradiology Department, Centro Hospitalar Universitário de Lisboa Central, Lisboa, Portugal; Unidade de Neurorradiologia, Hospital Central do Funchal, Funchal, Portugal
| | - Henrique Castro Santos
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências da Universidade de Lisboa, Lisboa, Portugal; Unidade Local de Saúde de São José - Polo Júlio de Matos, Centro Hospitalar Psiquiátrico de Lisboa, Lisboa, Portugal
| | - Sara Ferreira
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências da Universidade de Lisboa, Lisboa, Portugal
| | - Vasco Diogo
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências da Universidade de Lisboa, Lisboa, Portugal
| | - Marco Costa
- Departamento de Imagiologia, Hospital CUF Tejo, Lisboa, Portugal
| | - Sofia Brissos
- Unidade Local de Saúde de São José - Polo Júlio de Matos, Centro Hospitalar Psiquiátrico de Lisboa, Lisboa, Portugal
| | - João Gama Marques
- Unidade Local de Saúde de São José - Polo Júlio de Matos, Centro Hospitalar Psiquiátrico de Lisboa, Lisboa, Portugal; Clínica Universitária de Psiquiatria e Psicologia Médica, Faculdade de Medicina da Universidade de Lisboa, Lisboa, Portugal
| | - Diana Prata
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências da Universidade de Lisboa, Lisboa, Portugal; Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
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Shepherd D, Buchwald K, Siegert RJ, Vignes M. Using network analysis to identify factors influencing the heath-related quality of life of parents caring for an autistic child. RESEARCH IN DEVELOPMENTAL DISABILITIES 2024; 152:104808. [PMID: 39067240 DOI: 10.1016/j.ridd.2024.104808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 06/24/2024] [Accepted: 07/16/2024] [Indexed: 07/30/2024]
Abstract
BACKGROUND Raising an autistic child is associated with increased parenting stress relative to raising typically developing children. Increased parenting stress is associated with lower parent wellbeing, which in turn can negatively impact child wellbeing. AIMS The current study sought to quantify parenting stress and parent health-related quality of life (HRQOL) in the autism context, and further understand the relationship between them by employing a relatively novel statistical method, Network Analysis. METHODS AND PROCEDURES This cross-sectional study involved 476 parents of an autistic child. Parents completed an online survey requesting information on parent and child characteristics, parent's perceptions of their autistic child's symptoms and problem behaviours, and assessed their parenting stress and HRQOL. OUTCOMES AND RESULTS Relative to normative data, parent HRQOL was significantly lower in terms of physical health and mental wellbeing. The structure extracted by the Network Analysis indicated that child age and externalising behaviours were the main contributors to parenting stress, and that externalising behaviours, ASD core behavioural symptoms, and parenting stress predicted HRQOL. CONCLUSIONS AND IMPLICATIONS Parental responses to child-related factors likely determine parent HRQOL. Findings are discussed in relation to the transactional model, emphasising the importance of both parent and child wellbeing.
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Affiliation(s)
- Daniel Shepherd
- School of Clinical Sciences, Auckland University of Technology, New Zealand.
| | - Khan Buchwald
- School of Clinical Sciences, Auckland University of Technology, New Zealand
| | - Richard J Siegert
- School of Clinical Sciences, Auckland University of Technology, New Zealand
| | - Matthieu Vignes
- School of Computational and Mathematical Sciences, Massey University, New Zealand
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15
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Vroegindeweij A, Houtveen J, Lucassen DA, Van De Putte EM, Wulffraat NM, Nijhof SL, Swart JF. Individual outcomes after tailored versus generic self-management strategies for persistent fatigue in youth with a fatigue syndrome or rheumatic condition: A multiple single-case study. Br J Health Psychol 2024; 29:712-730. [PMID: 38531612 DOI: 10.1111/bjhp.12722] [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: 12/11/2023] [Revised: 03/07/2024] [Accepted: 03/19/2024] [Indexed: 03/28/2024]
Abstract
OBJECTIVE To examine individual outcomes after tailored lifestyle (PROfeel) or generic dietary advice as self-management intervention for persistent fatigue in adolescents and young adults with a chronic condition, to compare participants who did and did not benefit and to explore changes to factors in the biopsychosocial model of fatigue after PROfeel. METHOD A multiple single-case AB-phase design was embedded in a randomized crossover trial (N = 45). Intensive longitudinal data (ILD) on outcomes 'fatigue severity', 'self-efficacy' and 'quality of life' (QoL) were collected through weekly smartphone measurement for 20 weeks. ILD on biopsychosocial factors were collected through experience sampling methodology for 28 days pre-post first intervention. Baseline characteristics were compared with t-tests and chi-square tests. Permutation distancing tests were used to assess change over time in all ILD. RESULTS Regarding weekly measurements, nineteen participants (42.22%) showed small to large positive outcomes (drange = .05 to 2.59), mostly after PROfeel. Eleven participants (24.44%) showed small to moderate negative outcomes (drange = -.02 to -2.46), mostly after dietary advice. Fatigue severity improved most, followed by self-efficacy. Participants who benefitted showed higher QoL levels and lower fatigue and pain levels compared with others at baseline (all p < .02). When positive outcomes were observed after PROfeel, typically ≥1 biopsychosocial factor had been targeted successfully. CONCLUSION Self-management advice has more potential when tailored to individual characteristics, including the biopsychosocial model of fatigue. PROfeel appears particularly useful as fatigue intervention for individuals with relatively less severe symptoms.
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Affiliation(s)
- Anouk Vroegindeweij
- Department of Paediatric Rheumatology/Immunology and Infectious Diseases, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Jan Houtveen
- Department of Paediatrics, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Desiree A Lucassen
- Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands
| | - Elise M Van De Putte
- Department of Paediatrics, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Faculty of Medicine, Utrecht University, Utrecht, The Netherlands
| | - Nico M Wulffraat
- Department of Paediatric Rheumatology/Immunology and Infectious Diseases, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Faculty of Medicine, Utrecht University, Utrecht, The Netherlands
| | - Sanne L Nijhof
- Department of Paediatrics, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Faculty of Medicine, Utrecht University, Utrecht, The Netherlands
| | - Joost F Swart
- Department of Paediatric Rheumatology/Immunology and Infectious Diseases, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Faculty of Medicine, Utrecht University, Utrecht, The Netherlands
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16
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Jover Martínez A, Lemmens LHJM, Fried EI, Roefs A. Developing a transdiagnostic Ecological Momentary Assessment protocol for psychopathology. Int J Methods Psychiatr Res 2024; 33:e2028. [PMID: 39030856 PMCID: PMC11258473 DOI: 10.1002/mpr.2028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 04/19/2024] [Accepted: 06/10/2024] [Indexed: 07/22/2024] Open
Abstract
OBJECTIVES The network approach to psychopathology posits that mental disorders emerge from dynamic interactions among psychopathology-relevant variables. Ecological Momentary Assessment (EMA) is frequently used to assess these variables in daily life. Considering the transdiagnostic nature of the network approach to psychopathology, this study describes the development of a transdiagnostic EMA protocol for psychopathology. METHODS First, 96 clinicians completed an online survey, providing three EMA constructs for up to three disorders they specialize in, and three EMA constructs relevant across disorders (transdiagnostic constructs). Second, 12 focus groups were conducted with clinical experts for specific types of diagnoses (e.g., mood disorders, anxiety disorders). Finally, a selection of items was reached by consensus. Two raters independently coded the online survey responses with an inter-rater agreement of 87.3%. RESULTS Jaccard indices showed up to 52.6% overlap in EMA items across types of diagnoses. The most frequently reported transdiagnostic constructs were mood, sleep quality, and stress. A final set of EMA items is created based on items' frequency and informativeness, ensuring completeness across diagnoses and minimizing burden. CONCLUSIONS The described procedure resulted in a feasible EMA protocol to examine psychopathology transdiagnostically. Feasibility was helped by the overlap in mentioned symptoms across disorders. Such overlap raises questions about the validity of DSM categories.
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Affiliation(s)
- Alberto Jover Martínez
- Clinical Psychological ScienceFaculty of Psychology and NeuroscienceMaastricht UniversityMaastrichtThe Netherlands
| | - Lotte H. J. M. Lemmens
- Clinical Psychological ScienceFaculty of Psychology and NeuroscienceMaastricht UniversityMaastrichtThe Netherlands
| | - Eiko I. Fried
- Clinical PsychologyFaculty of Social and Behavioral SciencesLeiden UniversityLeidenThe Netherlands
| | - Anne Roefs
- Clinical Psychological ScienceFaculty of Psychology and NeuroscienceMaastricht UniversityMaastrichtThe Netherlands
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17
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Graziano RC, LoSavio ST, White MA, Beckham JC, Dillon KH. Examination of PTSD symptom networks over the course of cognitive processing therapy. PSYCHOLOGICAL TRAUMA : THEORY, RESEARCH, PRACTICE AND POLICY 2024; 16:1019-1032. [PMID: 37104773 PMCID: PMC10603210 DOI: 10.1037/tra0001464] [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] [Indexed: 04/29/2023]
Abstract
OBJECTIVES Cognitive processing therapy (CPT) is an evidence-based psychotherapy for posttraumatic stress disorder (PTSD); however, little is known about how interrelationships between PTSD symptoms change over the course of treatment. The current study examined baseline, midtreatment, and posttreatment PTSD symptom networks during CPT for PTSD. METHOD Adults with PTSD (n = 107) received 12 sessions of CPT as part of a randomized trial. Self-reported PTSD symptoms were assessed at pretreatment, midtreatment, and posttreatment, and network analysis was used to examine the interrelationships between symptoms at these three timepoints. Linear regression was conducted to examine whether any baseline symptoms or midpoint symptoms predicted overall treatment change. RESULTS In the baseline PTSD network, feelings of detachment and feeling upset at reminders of the trauma were central to the symptom network. These symptoms were no longer central at midtreatment, possibly suggesting that CPT quickly reduces the importance of these symptoms. These findings were consistent with regression results that, after accounting for multiple comparisons, high baseline scores of feeling upset at trauma reminders predicted later treatment change. At the conclusion of treatment, strong negative emotions were the most central symptom and may be most important in maintaining or lowering other PTSD symptoms at the conclusion of treatment. CONCLUSIONS Though replication is necessary, these findings offer insights into identifying which symptoms may be most predictive of treatment outcomes and the course by which CPT reduces PTSD symptoms. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Affiliation(s)
| | - Stefanie T. LoSavio
- Durham VA Health Care System, Durham, NC
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC
| | | | - Jean C. Beckham
- Durham VA Health Care System, Durham, NC
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC
- VA Mid-Atlantic Mental Illness Research, Education, and Clinical Center, Durham, NC
| | - Kirsten H. Dillon
- Durham VA Health Care System, Durham, NC
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC
- VA Mid-Atlantic Mental Illness Research, Education, and Clinical Center, Durham, NC
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18
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Chen MY, He F, Rao WW, Qi Y, Rao SY, Ho TI, Su Z, Cheung T, Smith RD, Ng CH, Zheng Y, Xiang YT. The network structures of mental and behavioral problems among children and adolescents in China using propensity score matching: A comparison between one-child and multi-child families based on a nationwide survey. J Affect Disord 2024; 360:206-213. [PMID: 38797390 DOI: 10.1016/j.jad.2024.05.121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Revised: 05/22/2024] [Accepted: 05/23/2024] [Indexed: 05/29/2024]
Abstract
BACKGROUND Exploring networks of mental and behavioral problems in children and adolescents may identify differences between one-child and multi-child families. This study compared the network structures of mental and behavioral problems in children and adolescents in one-child families versus multi-child families based on a nationwide survey. METHODS Propensity score matching (PSM) was used to match children and adolescents from one-child families with those from multi-child families. Mental and behavioral problems were assessed using the Achenbach's Child Behavior Checklist (CBCL) with eight syndromal subscales. In the network analysis, strength centrality index was used to estimate central symptoms, and case-dropping bootstrap method was used to assess network stability. RESULTS The study included 39,648 children and adolescents (19,824 from one-child families and 19,824 from multi-child families). Children and adolescents from multi-child families exhibited different network structure and higher global strength compared to those from one-child families. In one-child families, the most central symptoms were "Social problems", "Anxious/depressed" and "Withdrawn/depressed", while in multi-child families, the most central symptoms were "Social problems", "Rule-breaking behavior" and "Anxious/depressed". CONCLUSION Differences in mental and behavioral problems among children and adolescents between one-child and multi-child families were found. To address these problems, interventions targeting "Social problems" and "Anxious/depressed" symptoms should be developed for children and adolescents in both one-child and multi-child families, while other interventions targeting "Withdrawn/depressed" and "Rule-breaking behavior" symptoms could be useful for those in one-child and multi-child families, respectively.
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Affiliation(s)
- Meng-Yi Chen
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China; Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China
| | - Fan He
- Advanced Innovation Center for Human Brain Protection, Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Wen-Wang Rao
- Department of Preventive Medicine,Shantou University Medical College, Shantou, Guandong province, China
| | - Yanjie Qi
- Advanced Innovation Center for Human Brain Protection, Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Shu-Ying Rao
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China
| | - Tin-Ian Ho
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China
| | - Zhaohui Su
- School of Public Health, Southeast University, Nanjing, China
| | - Teris Cheung
- School of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Robert D Smith
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China
| | - Chee H Ng
- Department of Psychiatry, The Melbourne Clinic and St Vincent's Hospital, University of Melbourne, Richmond, Victoria, Australia.
| | - Yi Zheng
- Advanced Innovation Center for Human Brain Protection, Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
| | - Yu-Tao Xiang
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China; Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China.
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19
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Gessner J, Schulz JO, Melzig CA, Benke C. Role of interoceptive fear and maladaptive attention and behaviors in the escalation of psychopathology-a network analysis. Cogn Behav Ther 2024; 53:524-543. [PMID: 38593025 DOI: 10.1080/16506073.2024.2336036] [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: 12/11/2023] [Accepted: 03/22/2024] [Indexed: 04/11/2024]
Abstract
The complex interplay of fear, attention, and behavior toward bodily sensations with psychopathological symptoms and how they mutually influence and potentially reinforce one another remains to be fully elucidated. In this study, we used a network analytical approach to unravel these complex interactions. Specifically, we aimed to identify central symptoms and etiologically relevant factors that might be associated with anxiety and depressive core symptoms. To this end, the following clusters were assessed in 791 adults: interoceptive fear, interoceptive attention, maladaptive behaviors related to bodily sensations, and core symptoms of anxiety and depression. This network was modeled using a Gaussian Graphical Model. Central variables (nodes) were identified using centrality indices and bridge analysis. Self-examination and attention to bodily sensations emerged as central nodes. Moreover, time spent paying attention to bodily sensations, fear of anxiety-related sensations, and self-examination were identified as central bridge nodes, that is, central nodes connecting psychopathologically relevant symptom clusters. The present study indicates that fear of bodily sensations, the amount of attention and time spent focusing on somatic sensations, and self-examination are central factors. The findings suggest potential targets for future longitudinal studies on the impact of these factors for the escalation of anxiety and depressive symptoms.
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Affiliation(s)
- Jana Gessner
- Department of Clinical Psychology, Experimental Psychopathology and Psychotherapy, University of Marburg, Marburg, Germany
| | - Jan-Ole Schulz
- Department of Clinical Psychology, Experimental Psychopathology and Psychotherapy, University of Marburg, Marburg, Germany
| | - Christiane A Melzig
- Department of Clinical Psychology, Experimental Psychopathology and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior, CMBB, Philipps University Marburg and Justus Liebig University Giessen, Gießen, Germany
| | - Christoph Benke
- Department of Clinical Psychology, Experimental Psychopathology and Psychotherapy, University of Marburg, Marburg, Germany
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Jia J, Tong W, Wang X, Fang X. The comorbidity mechanism of problematic internet use and depression among Chinese college students: A cross-lagged panel network analysis. Addict Behav 2024; 156:108057. [PMID: 38733952 DOI: 10.1016/j.addbeh.2024.108057] [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: 12/04/2023] [Revised: 04/19/2024] [Accepted: 05/06/2024] [Indexed: 05/13/2024]
Abstract
Problematic internet use (PIU) and depression usually co-occur and are common among college students. According to network theory, it may be attributed to the interplay of symptoms that connect these two mental health problems. However, most studies have failed to examine complex and subtle connections at the symptom level and have not clarified how PIU and depression symptoms are intercorrelated, which symptoms serve as the source of comorbidity (i.e., the central symptoms), and whether such a comorbidity mechanism would change with higher grades. To explore these questions, this study examined four contemporaneous networks and three cross-lagged panel networks, visualizing the symptoms as nodes and the connections between symptoms as edges. A total of 2,420 college students (Mage = 18.35, SD = 0.84; 67.98 % girls) completed four annual surveys. Overall, the results of contemporaneous networks and cross-lagged panel networks indicated that (a) PIU and depression symptoms are intercorrelated; (b) the core symptoms responsible for comorbidity mostly belonged to PIU, and (c) the comorbidity mechanism would change with time. These findings explain the dynamic relation between PIU and depression and identify possible primary symptoms that comorbidity programs can mitigate at different stages of the college years.
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Affiliation(s)
- Jichao Jia
- Institute of Developmental Psychology, Beijing Normal University, China.
| | - Wei Tong
- School of Psychology, Shanghai Normal University, China.
| | - Xiaoyue Wang
- Institute of Developmental Psychology, Beijing Normal University, China.
| | - Xiaoyi Fang
- Institute of Developmental Psychology, Beijing Normal University, China.
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21
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Xie T, Jiang W, Liu X, Wang J. Network structure of adolescent social, emotional, and behavioral difficulties and their differential relationships with suicidality. Child Adolesc Ment Health 2024; 29:281-291. [PMID: 38515241 DOI: 10.1111/camh.12693] [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] [Accepted: 10/25/2023] [Indexed: 03/23/2024]
Abstract
BACKGROUND Social, emotional, and behavioral difficulties (SEBDs) tend to develop during adolescence. Their presence and especially co-occurrence induce numerous disrupting consequences, including suicidality. A recently developed network analysis is suitable to investigate the symptom-level structure of comorbid psychopathology. Rather than pairwise comorbidity networks, the current study investigated a comprehensive network of SEBDs at the symptom level and explored the differential relationships between symptoms of SEBDs and suicidality. METHODS Recruited from four public schools in China, a sample of adolescents (N = 6974, mean age = 15.84, 50.1% boys) were assessed with the Strengths and Difficulties Questionnaire (SDQ) and one suicidality-related item. The cross-sectional network structure of the SEBD symptoms was investigated. The differential associations between individual symptoms of SEBDs and suicidality were also explored with a relative importance analysis. RESULTS The results showed that constantly fidgeting, worry a lot, unhappy, down-hearted, tearful, and easily scared emerged as the most central symptoms in the network of SEBDs. Worry a lot, constantly fidgeting, lose my temper, and being bullied served as bridge symptoms, connecting various domains of SEBDs. In addition, the centrality of symptoms was positively associated with the variance shared with suicidality, with worry a lot and unhappy, down-hearted, and tearful explaining a large portion of the variance of suicidality. CONCLUSIONS Taken together, the results were indicative of close connections among emotional, hyperactivity-inattention, peer, and conduct aspects of adolescent mental health difficulties, as well as the central role of emotional difficulties in the SEBDs network.
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Affiliation(s)
- Tong Xie
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing, China
| | - Wanyue Jiang
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing, China
| | - Xiaoyan Liu
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing, China
| | - Jianping Wang
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing, China
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22
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van den Berg KC, Ten Bloemendal E, Hendrickson AT, Di Simplicio M, Voncken M, Aalbers G, Keijsers GPJ. Exploring Temporal Relationships Between Anxiety, Mood and Mental Imagery in Patients With Bipolar Disorder: A Network Analysis. Clin Psychol Psychother 2024; 31:e3050. [PMID: 39210656 DOI: 10.1002/cpp.3050] [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: 05/03/2024] [Revised: 08/08/2024] [Accepted: 08/09/2024] [Indexed: 09/04/2024]
Abstract
INTRODUCTION Bipolar disorder is a severe mental health problem with limited treatment success. There is a call for improving interventions, requiring an increased understanding of factors driving mood instability. One promising avenue is to study temporal associations between factors that appear relevant according to the emotional amplifier model of Holmes are changes in mood, anxiety and mental imagery. METHODS The current study used data from a recent RCT for a secondary analysis which applied a network analysis approach to explore temporal associations between weekly measurements of mania, depression, anxiety and mental imagery measured during 32 weeks in two randomised groups (N = 55) receiving either imagery-focused cognitive therapy (ImCT) or group psychoeducation (PE). RESULTS Both negative intrusive mental imagery and anxiety appeared central in the network analyses, driving changes in both mania and depression, but only in the PE group. In the ImCT group, only anxiety was driving changes in mania and depression. CONCLUSION Although exploratory, findings suggest that prior increases in anxiety and negative intrusive mental imagery might be associated with subsequent increases in depression and mania symptoms in patients with bipolar disorder. Anxiety might in turn increase negative intrusive imagery and associated negative emotions. Although more research is needed, results are in line with the emotional amplifier model and stress that future interventions with a focus on anxiety and imagery might help to improve psychosocial therapies for patients with bipolar disorder. In addition, this study suggests that a network approach is a helpful and feasible way to study mood instability, anxiety and mental imagery to increase our understanding of mechanisms underpinning mood instability.
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Affiliation(s)
- K C van den Berg
- Department of Clinical Psychological Sciences, Maastricht University, Maastricht, The Netherlands
| | - E Ten Bloemendal
- Department of Medical Psychology, Maxima Medical Hospital, Eindhoven, The Netherlands
| | - A T Hendrickson
- Department of Cognitive Science and Artificial Intelligence, Tilburg University, Tilburg, The Netherlands
| | - M Di Simplicio
- Division of Psychiatry, Department of Brain Sciences, Imperial College London, London, UK
| | - M Voncken
- Department of Clinical Psychological Sciences, Maastricht University, Maastricht, The Netherlands
| | - G Aalbers
- Department of Cognitive Science and Artificial Intelligence, Tilburg University, Tilburg, The Netherlands
| | - G P J Keijsers
- Department of Clinical Psychological Sciences, Maastricht University, Maastricht, The Netherlands
- Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands
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23
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McGorry PD, Mei C, Dalal N, Alvarez-Jimenez M, Blakemore SJ, Browne V, Dooley B, Hickie IB, Jones PB, McDaid D, Mihalopoulos C, Wood SJ, El Azzouzi FA, Fazio J, Gow E, Hanjabam S, Hayes A, Morris A, Pang E, Paramasivam K, Quagliato Nogueira I, Tan J, Adelsheim S, Broome MR, Cannon M, Chanen AM, Chen EYH, Danese A, Davis M, Ford T, Gonsalves PP, Hamilton MP, Henderson J, John A, Kay-Lambkin F, Le LKD, Kieling C, Mac Dhonnagáin N, Malla A, Nieman DH, Rickwood D, Robinson J, Shah JL, Singh S, Soosay I, Tee K, Twenge J, Valmaggia L, van Amelsvoort T, Verma S, Wilson J, Yung A, Iyer SN, Killackey E. The Lancet Psychiatry Commission on youth mental health. Lancet Psychiatry 2024; 11:731-774. [PMID: 39147461 DOI: 10.1016/s2215-0366(24)00163-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 05/01/2024] [Accepted: 05/08/2024] [Indexed: 08/17/2024]
Affiliation(s)
- Patrick D McGorry
- Orygen, Melbourne, VIC, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia.
| | - Cristina Mei
- Orygen, Melbourne, VIC, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | | | - Mario Alvarez-Jimenez
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | | | - Vivienne Browne
- Orygen, Melbourne, VIC, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Barbara Dooley
- School of Psychology, University College Dublin, Dublin, Ireland
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Peter B Jones
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - David McDaid
- Care Policy and Evaluation Centre, Department of Health Policy, London School of Economics and Political Science, London, UK
| | - Cathrine Mihalopoulos
- Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia; Monash University Health Economics Group, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Stephen J Wood
- Orygen, Melbourne, VIC, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia; School of Psychology, University of Birmingham, Birmingham, UK
| | | | | | - Ella Gow
- Orygen, Melbourne, VIC, Australia; Melbourne, VIC, Australia
| | | | | | | | - Elina Pang
- Hong Kong Special Administrative Region, China
| | | | | | | | - Steven Adelsheim
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Matthew R Broome
- Institute for Mental Health, University of Birmingham, Birmingham, UK; Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | - Mary Cannon
- Department of Psychiatry, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Andrew M Chanen
- Orygen, Melbourne, VIC, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Eric Y H Chen
- Institute of Mental Health, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore; LKS School of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Andrea Danese
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; National and Specialist Child and Adolescent Mental Health Service Clinic for Trauma, Anxiety, and Depression, South London and Maudsley NHS Foundation Trust, London, UK
| | - Maryann Davis
- Department of Psychiatry, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Tamsin Ford
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Pattie P Gonsalves
- Youth Mental Health Group, Sangath, New Delhi, India; School of Psychology, University of Sussex, Brighton, UK
| | - Matthew P Hamilton
- Orygen, Melbourne, VIC, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia; Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Jo Henderson
- Centre for Addiction and Mental Health, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Ann John
- Swansea University Medical School, Swansea University, Swansea, UK
| | | | - Long K-D Le
- Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia; Monash University Health Economics Group, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Christian Kieling
- Department of Psychiatry, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | | | - Ashok Malla
- Department of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, Montréal, QC, Canada; ACCESS Open Minds and Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, Verdun, QC, Canada
| | - Dorien H Nieman
- Amsterdam University Medical Centers, location AMC, Amsterdam, The Netherlands
| | - Debra Rickwood
- Faculty of Health, University of Canberra, Canberra, ACT, Australia; headspace National Youth Mental Health Foundation, Melbourne, VIC, Australia
| | - Jo Robinson
- Orygen, Melbourne, VIC, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Jai L Shah
- Department of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, Montréal, QC, Canada; ACCESS Open Minds and Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, Verdun, QC, Canada
| | - Swaran Singh
- Mental Health and Wellbeing, Warwick Medical School, University of Warwick and Coventry and Warwickshire Partnership Trust, Coventry, UK
| | - Ian Soosay
- Department of Psychological Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Karen Tee
- Foundry, Providence Health Care, Vancouver, BC, Canada
| | - Jean Twenge
- Department of Psychology, San Diego State University, San Diego, California, USA
| | - Lucia Valmaggia
- Orygen, Melbourne, VIC, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia; Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Therese van Amelsvoort
- Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, The Netherlands
| | | | - Jon Wilson
- Norfolk and Suffolk NHS Foundation Trust, Norwich, UK
| | - Alison Yung
- Orygen, Melbourne, VIC, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia; Institute for Mental and Physical Health and Clinical Translation, Deakin University, Geelong, VIC, Australia; School of Health Sciences, The University of Manchester, Manchester, UK
| | - Srividya N Iyer
- Department of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, Montréal, QC, Canada; ACCESS Open Minds and Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, Verdun, QC, Canada
| | - Eóin Killackey
- Orygen, Melbourne, VIC, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
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24
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Moron M, Mengel-From J, Semkovska M. Monozygotic twins discordant for depression: An extended network comparison of depressive symptoms, cognitive functions and daily activities. J Psychiatr Res 2024; 177:412-419. [PMID: 39094514 DOI: 10.1016/j.jpsychires.2024.07.037] [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: 04/23/2024] [Revised: 07/24/2024] [Accepted: 07/26/2024] [Indexed: 08/04/2024]
Abstract
Monozygotic twins share the same genotype; however, they can be phenotypically discordant on various traits. Studying discordant monozygotic twins allows the investigation of differences in associations between symptoms and psychopathological risk factors, controlled for shared genetic liability. The network approach to psychopathology suggests that depressive symptoms, along with risk and protective factors (e.g., cognition, daily activities), form a complex system of mutually interacting components. We compared monozygotic twins discordant for lifetime depression on their respective extended networks of depressive symptoms, cognitive functions and daily activities (intellectual, physical, social), and evaluated if these networks differ in their associations between variables and in the role of each variable within the network. Regularized partial correlations investigated the networks' composition in 147 monozygotic twin pairs discordant for depression from the Danish Twin Registry. Affected twins had stronger overall associations within their network of depressive symptoms, cognitive functions and daily activities than their unaffected co-twins, while the importance of the network components' associations did not differ between the co-twins. In affected twins, decreased frequency in experiencing happiness had the strongest association with remaining variables (i.e., the most influence in activating other network elements). Also, variables from different groups were significantly associated (e.g., loneliness with delayed memory, pessimism with low social activities, verbal learning with intellectual activities). In unaffected twins, both mood symptoms and cognitive functions were important, but between-groups associations were quasi-absent. These results suggest that external events affecting the ability to feel happiness likely trigger the psychopathological process (depression network activation), independently from the genetic predisposition to depression.
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Affiliation(s)
- Marcin Moron
- DeFREE Research Cluster, Department of Psychology, University of Southern Denmark, Odense, Denmark
| | - Jonas Mengel-From
- Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Maria Semkovska
- DeFREE Research Cluster, Department of Psychology, University of Southern Denmark, Odense, Denmark.
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25
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Ruiz-Gutiérrez J, Miras-Aguilar MDM, Rodríguez-Pérez N, Ventura L, González Gómez J, Del Barrio AG, Gónzalez-Blanch C. Bridging personality dimensions and eating symptoms: A transdiagnostic network approach. EUROPEAN EATING DISORDERS REVIEW 2024; 32:930-942. [PMID: 38722045 DOI: 10.1002/erv.3102] [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: 01/17/2024] [Revised: 04/14/2024] [Accepted: 04/26/2024] [Indexed: 08/05/2024]
Abstract
OBJECTIVE Eating disorders (ED) have recently been studied from a network approach, conceptualising them as a complex system of interconnected variables, while highlighting the role of non-ED symptoms and personality dimensions. This study aims to explore the connections between personality and ED symptoms, identify central nodes, and compare the EDs network to a healthy control network. METHODS We employed network analysis to examine the personality-ED symptom connections in 329 individuals with an ED diagnosis and 192 healthy controls. We estimated a regularised partial correlation network and the indices of centrality and bridge centrality to identify the most influential nodes for each group. Network differences between groups were also examined. RESULTS Low Self-Directedness and high Harm avoidance emerged as central bridge nodes, displaying the strongest relationship with ED symptoms. Both networks differed in their global connectivity and structure, although no differences were found in bridge centrality and centrality indices. CONCLUSIONS These findings shed light on the role of personality dimensions, such as Self-Directedness and Harm Avoidance in the maintenance of ED psychopathology, supporting the transdiagnostic conceptualisation of ED. This study advances a deeper understanding of the complex interplay between personality dimensions and ED symptoms, offering potential directions for clinical interventions.
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Affiliation(s)
- Jose Ruiz-Gutiérrez
- Department of Psychiatry, Marqués de Valdecilla University Hospital, Santander, Spain
| | | | | | - Ludovica Ventura
- Valdecilla Biomedical Research Institute (IDIVAL), Santander, Spain
- Faculty of Medicine and Mental Health, University of Cantabria, Santander, Spain
| | - Jana González Gómez
- Department of Psychiatry, Marqués de Valdecilla University Hospital, Santander, Spain
- Valdecilla Biomedical Research Institute (IDIVAL), Santander, Spain
| | - Andrés Gómez Del Barrio
- Department of Psychiatry, Marqués de Valdecilla University Hospital, Santander, Spain
- Valdecilla Biomedical Research Institute (IDIVAL), Santander, Spain
- Faculty of Medicine and Mental Health, University of Cantabria, Santander, Spain
- Eating Disorders Unit, Department of Psychiatry, Marqués de Valdecilla University Hospital, Santander, Spain
- Biomedical Research Centre of Mental Health (CIBERSAM), ISCIII, Madrid, Spain
| | - Cesar Gónzalez-Blanch
- Valdecilla Biomedical Research Institute (IDIVAL), Santander, Spain
- Mental Health Centre, Marqués de Valdecilla University Hospital, Santander, Spain
- Faculty of Health Sciences, University Europea del Atlántico, Santander, Spain
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26
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Liu S, Ren H, Li Y, Liu Y, Fu S, Han ZR. Gender Difference in the Onset of Adolescent Depressive Symptoms: A Cross-Lagged Panel Network Analysis. Res Child Adolesc Psychopathol 2024:10.1007/s10802-024-01235-4. [PMID: 39215790 DOI: 10.1007/s10802-024-01235-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/29/2024] [Indexed: 09/04/2024]
Abstract
Depressive symptoms are prevalent in adolescents, especially girls, underscoring the need for early detection and targeted interventions. Identifying initial symptoms and their temporal associations is vital for such interventions. This study used cross-lagged panel network (CLPN) analysis to examine the central depressive symptoms and their interconnections within a national cohort derived from the China Family Panel Study (CFPS). The participants included 2524 adolescents (45.8% girls), with depressive symptoms assessed using the Epidemiological Studies Depression Scale (CES-D-8) in 2016 (Mage = 12.30) and 2018 (Mage = 14.25). The CLPN model showed that "loneliness" and "not getting going (fatigue)" at T1 were the strongest predictors of subsequent depressive symptoms at T2, after controlling for demographic variables and depressive symptoms at T1. Conversely, depressed mood and anhedonia at T2 were most likely to be influenced by other symptoms at T1. Gender-stratified analyses identified "loneliness" as the initial symptom in girls and "fatigue" for boys. Additionally, girls exhibited stronger reciprocal associations among depressive symptoms than boys. The findings suggest that addressing interpersonal loneliness is crucial for adolescent girls, whereas somatic fatigue should be a focus for adolescent boys, highlighting the need for gender-specific approaches in early intervention strategies. This research provides insights into the distinct gendered networks of depressive symptomatology in adolescents, informing tailored prevention and intervention efforts.
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Affiliation(s)
- Sihan Liu
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University, No.19 Xinjiekouwai St, Haidian District, Beijing, China
| | - Haining Ren
- T. Denny Sanford School of Social and Family Dynamics, Arizona State University, Tempe, USA
| | - Yijia Li
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University, No.19 Xinjiekouwai St, Haidian District, Beijing, China
| | - Yang Liu
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University, No.19 Xinjiekouwai St, Haidian District, Beijing, China
| | - Sinan Fu
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University, No.19 Xinjiekouwai St, Haidian District, Beijing, China
| | - Zhuo Rachel Han
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University, No.19 Xinjiekouwai St, Haidian District, Beijing, China.
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27
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Castro D, Cardoso J, Araujo AS, Rodrigues AR, Ferreira F, Ferreira-Santos F, Ferreira TB. Topological properties of psychopathological networks of healthy and disordered individuals across mental disorders. J Affect Disord 2024; 366:226-233. [PMID: 39216639 DOI: 10.1016/j.jad.2024.08.168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 08/04/2024] [Accepted: 08/23/2024] [Indexed: 09/04/2024]
Abstract
The identification of psychopathological markers has been the focus of several scientific fields. The results were inconsistent due to lack of a clear nosology. Network analysis, focusing on the interactions between symptoms, provided important insights into the nosology of mental disorders. These interactions originate several topological properties that could constitute markers of psychopathology. One of these properties is network connectivity, which has been explored in recent years. However, the results have been inconsistent, and the topological properties of psychopathological networks remain largely unexplored and unknown. We compared several topological properties (i.e., connectivity, average path length, assortativity, average degree, modularity, global clustering) of psychopathological networks of healthy and disordered participants across depression (N = 2830), generalized anxiety (N = 13,463), social anxiety (N = 12,814), and obsessive-compulsive disorder (N = 16,426). Networks were estimated using Bayesian Gaussian Graphical Models. The Janson-Shannon measure of divergence was used to identify differences between the network properties. Network connectivity distinguished healthy and disordered participants' networks in all disorders. However, in depression and generalized anxiety, network connectivity was higher in healthy participants. The presence and number of motifs also distinguished the networks of healthy and disordered participants. Other topological properties (i.e., modularity, clustering, average path length and average degree) seem to be disorder-specific. The psychopathological significance of network connectivity must be clarified. Some topological properties of psychopathological networks are promising markers of psychopathology and may contribute to clarifying the nosology of mental disorders.
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Affiliation(s)
- Daniel Castro
- University of Maia, Maia, Portugal; Center for Psychology at University of Porto, Porto, Portugal.
| | - Joana Cardoso
- University of Maia, Maia, Portugal; Center for Psychology at University of Porto, Porto, Portugal
| | - Ana Sofia Araujo
- University of Maia, Maia, Portugal; Center for Psychology at University of Porto, Porto, Portugal
| | - Ana Rita Rodrigues
- 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, Portugal
| | - Tiago Bento Ferreira
- University of Maia, Maia, Portugal; Center for Psychology at University of Porto, Porto, Portugal
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28
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Guo T, Feng Y, Zhou J, Meng L, Zhu X, Chen X, Xiao L, Feng L, Zhang L, Xiang YT, Zhao YJ, Wang G. Unveiling the Interplay Between Depressive Symptoms' Alleviation and Quality of Life Improvement in Major Depressive Disorder: A Network Analysis Based on Longitudinal Data. Neuropsychiatr Dis Treat 2024; 20:1641-1654. [PMID: 39228960 PMCID: PMC11370766 DOI: 10.2147/ndt.s462884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Accepted: 08/21/2024] [Indexed: 09/05/2024] Open
Abstract
Background Understanding the dynamic relationship between depressive symptoms and quality of life (QOL) is essential in improving long-term outcomes for patients with Major Depressive Disorder (MDD). While previous studies often relied on cross-sectional data, there is a pressing need for stronger evidence based on longitudinal data to better inform the development of effective clinical interventions. By focusing on key depressive symptoms, such interventions have the potential to ultimately enhance QOL in individuals with MDD. Methods This multi-center prospective study, conducted between 2016 and 2020, enrolled outpatients and inpatients diagnosed with MDD across twelve psychiatric hospitals in China. Longitudinal data on Patient Health Questionnaire - 9 (PHQ-9) and Quality of Life Enjoyment and Satisfaction Questionnaire-Short Form (Q-LES-Q-SF) was analyzed using an Extended Bayesian Information Criterion (EBIC) graphical least absolute shrinkage and selection operator (gLASSO) network model to explore the connections between depressive symptom changes and QOL changes. Flow network was applied to investigate relationships between individual symptom changes and overall QOL score change, as well as daily functional independence. Results This study included 818 participants with complete data after 8-week antidepressant treatment. Apart from the overlapping items from PHQ-9 and Q-LES-Q-SF, the three edges between "mood" (delta-QLES2) and "anhedonia" (delta-DEP1), between "physical health" (delta-QLES1) and "sleep problems" (delta-DEP3), and between "physical health" (delta-QLES1) and "sad mood" (delta-DEP2) were the most strong bridges between the cluster of depressive symptoms alleviation and the cluster of QOL change. "Anhedonia" (delta-DEP1), "sad mood" (delta-DEP2) and "loss of energy" (delta-DEP4) had the highest bridge strength between the alleviations of depressive symptoms and the total score change of Q-LES-Q-SF. Anhedonia had the greatest connection with participants' satisfaction with function in daily life. Conclusion This study highlighted the potential for developing highly effective interventions by targeting on central symptoms, thereby to ultimately improve QOL for patients with MDD.
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Affiliation(s)
- Tong Guo
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People’s Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
| | - Yuan Feng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People’s Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
| | - Jingjing Zhou
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People’s Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
| | - Linghui Meng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People’s Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
| | - Xuequan Zhu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People’s Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
| | - Xu Chen
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People’s Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
| | - Le Xiao
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People’s Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
| | - Lei Feng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People’s Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
| | - Ling Zhang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People’s Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
| | - Yu-Tao Xiang
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, Faculty of Health Sciences, Institute of Translational Medicine, University of Macau, Taipa, Macao SAR, People’s Republic of China
- Centre for Cognitive and Brain Sciences, University of Macau, TaipaMacao SAR, People’s Republic of China
| | - Yan-Jie Zhao
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People’s Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
| | - Gang Wang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People’s Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
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Lui SSY, Wong YL, Huang YH, Chau BCL, Cheung ESL, Wong CHY, Wong RWK, Leung SK, Lam JPH, Chan RCK. Childhood trauma, resilience, psychopathology and social functioning in schizophrenia: A network analysis. Asian J Psychiatr 2024; 101:104211. [PMID: 39226756 DOI: 10.1016/j.ajp.2024.104211] [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: 03/19/2024] [Revised: 04/30/2024] [Accepted: 08/29/2024] [Indexed: 09/05/2024]
Abstract
The affective pathway to psychosis implicates affective symptoms and neuroticism as mediating steps between childhood trauma and symptoms of schizophrenia. Prior research seldom examined the interplay between childhood trauma, resilience, personality, social functioning and symptoms in schizophrenia patients. This study recruited 290 schizophrenia patients, and constructed a regularized partial correlation network of childhood trauma, resilience, big-five personality traits, symptoms and social functioning. We further applied flow diagram and shortest path analysis to clarify how different childhood trauma types would contribute to and reach different symptoms. In the network, emotional and physical abuse showed the highest expected influence, and resilience showed the highest strength. In flow diagrams, all nodes together contributed two-thirds of variance of social functioning (which had highest predictability). Among childhood trauma types, emotional abuse contributed most to positive symptoms; physical neglect contributed most to negative, depressive and disorganized symptoms. Childhood abuse reached positive symptoms via neuroticism and depressive symptoms, yet it reached negative symptoms via physical neglect and social functioning. Childhood neglect reached positive symptoms via resilience, conscientiousness, neuroticism and depressive symptoms, yet it reached negative symptoms via social functioning. Our findings support that different childhood trauma types contribute to different symptoms, and interacts with resilience, personality and social functioning.
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Affiliation(s)
- Simon S Y Lui
- Department of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong, China.
| | | | - Yi-Hang Huang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, 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
| | | | - Ezmond S L Cheung
- Department of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong, China
| | - Christy H Y Wong
- Department of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong, China
| | - Raisie W K Wong
- Department of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong, China
| | | | | | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, 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
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Xue S, Lu A, Chen W, Li J, Ke X, An Y. A latent profile analysis and network analysis of anxiety and depression symptoms in Chinese widowed elderly. J Affect Disord 2024; 366:172-180. [PMID: 39214371 DOI: 10.1016/j.jad.2024.08.181] [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: 03/28/2024] [Revised: 08/26/2024] [Accepted: 08/27/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND Widowhood, as a traumatic event in the aging process, may lead to adverse psychological consequences such as anxiety and depression. However, the heterogeneity of anxiety and depression comorbidity patterns in widowed elderly and the interrelationships between symptoms have not been adequately studied. METHOD 10,239 elderly aged 65 years and older were screened from the Chinese Longitudinal Healthy Longevity Survey (CLHLS 2017-2018), to assess depression and anxiety using the Center for Epidemiologic Studies Depression Scale (CESD) and the 7-item Generalized Anxiety Disorder Questionnaire (GAD). The subgroups of widowed elderly with similar patterns of symptoms were identified by latent profile analysis (LPA). The structure of anxiety-depressive comorbidity network was characterized using "bridge expected influence" as centrality indices. Network stability was tested using a case drop bootstrap program. A network comparison test (NCT) was performed to examine the differences in network characteristics across LPA subgroups. RESULT LPA identified dichotomous profiles: low comorbid (n = 4457) and high comorbid (n = 692). NCT revealed a significant difference in the global strength between networks (S = 0.631, p < 0.001). GAD1 (Nervousness or anxiety) is the common bridging symptom for both networks, while the bridging symptom for the high comorbidity network also includes GAD3 (Generalized worry). LIMITATIONS Cross-sectional methods are unable to verify causal relationships, and further randomized controlled trials are warranted. CONCLUSION Anxiety-depressive pattern in Chinese widowed elderly can be categorized into a low comorbid or a high comorbid group. GAD3 (Generalized worry) can be used as the core intervention target during intervention.
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Affiliation(s)
- Shengping Xue
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, China; School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, China
| | - Aitao Lu
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, China; School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, China.
| | - Wanyi Chen
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, China; School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, China
| | - Jiayi Li
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, China; School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, China
| | - Xiayao Ke
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, China; School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, China
| | - Yuening An
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, China; School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, China
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31
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Xie M, Liu X, Wang A, Hao Y. Symptom network connectivity and interaction among people with HIV in China: secondary analysis based on a cross-sectional survey. BMC Public Health 2024; 24:2331. [PMID: 39198725 PMCID: PMC11351592 DOI: 10.1186/s12889-024-19728-8] [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: 08/15/2023] [Accepted: 08/08/2024] [Indexed: 09/01/2024] Open
Abstract
BACKGROUND The symptom burden in people with HIV (PWH) is considerable. Nonetheless, the identification of a central symptom, or bridge symptom, among the myriad symptoms experienced by PWH remains unclear. This study seeks to establish networks of symptom experiences within different clusters and investigate the relationships and interconnectedness between these symptoms in PWH. METHODS A multicenter, cross-sectional descriptive design was carried out in China over two periods: November 2021 to January 2022 and April 2022 to May 2022. A total of 711 PWH completed online questionnaires, providing information on demographics and the 27-item Self-Report Symptom Scale. The symptom network was analyzed using Network/Graph theory, allowing for the exploration of connections between physical, cognitive, and psychological symptoms. This analysis was based on data from a subset of 493 individuals out of the total 711 PWH. RESULTS A total of 493 PWH who exhibited symptoms out of a total of 711 PWH were analyzed. The average number of symptoms reported was 5.367. The most prevalent symptom was sleep disturbance (37.98%). In the node centrality analysis, a cognitive symptom, 'becoming confusing', emerged as the most central symptom with significant values for node centrality (strength = 1.437, betweenness = 140.000, closeness = 0.003). Fever was identified as the bridge symptom with the highest bridge strength (0.547), bridge closeness (0.053), lower bridge betweenness (23.000), and bridge expectedinfluence (0.285). Overall, our network displayed good accuracy and stability. CONCLUSION Early identification and assessment of the central or bridge symptoms should be emphasized in clinical practice. According to the findings from network analysis, healthcare providers should proactively explore intervention strategies or bundle care to alleviate the burden of symptoms and enable anticipatory care.
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Affiliation(s)
- Meilian Xie
- Nursing Management Department, Beijing Ditan Hospital Capital Medical University, Beijing, China
| | - Xiaoyu Liu
- School of Statistics, Capital University of Economics and Business, Beijing, China.
| | - Aiping Wang
- Department of Public Service, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, China
| | - Yiwei Hao
- Department of Medical Records and Statistics, Beijing Ditan Hospital Capital Medical University, Beijing, China
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Zhang W, Zhang J, He T, Hu H, Hinshaw S, Lin X. Dynamic patterns of COVID stress syndrome among university students during an outbreak: a time-series network analysis. Psychol Health 2024:1-19. [PMID: 39188086 DOI: 10.1080/08870446.2024.2395854] [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: 10/18/2023] [Revised: 06/19/2024] [Accepted: 08/18/2024] [Indexed: 08/28/2024]
Abstract
OBJECTIVE Assessing the progression of COVID stress syndrome (CSS) and understanding how cognitive and emotional factors play a role in the dynamic system is critical for prevention and intervention during the COVID-19 pandemic. We investigated the dynamic relationship between self-reported COVID stress syndrome, cognitive factors, and emotional factors through time-series network analysis. METHODS AND MEASURES Participants were 188 university students involved in an experience sampling method study that lasted 14 days, three times a day, during the COVID-19 pandemic period following a shift in pandemic prevention and control policy. RESULTS CSS symptoms are usually present simultaneously, and xenophobia is the most central node of the network. There is a complex mutual predictive relationship between CSS symptoms, in which traumatic stress symptoms are crucial in developing and maintaining the CSS symptom network. Negative affect was associated with CSS symptoms at the same time, and subjective health cognition was a significant predictor of CSS symptoms the next time. CONCLUSIONS Traumatic stress symptoms are essential nodes in the CSS symptom network, and negative emotions and subjective health influence the occurrence and development of CSS symptoms.
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Affiliation(s)
- Wenrui Zhang
- Institute of Developmental Psychology, Faculty of Psychology, Beijing Normal University, Beijing, China
| | - Ji Zhang
- Institute of Developmental Psychology, Faculty of Psychology, Beijing Normal University, Beijing, China
- Students' Mental Health Center, Wuhan University, Wuhan, China
| | - Ting He
- Institute of Developmental Psychology, Faculty of Psychology, Beijing Normal University, Beijing, China
| | - Huinan Hu
- Institute of Developmental Psychology, Faculty of Psychology, Beijing Normal University, Beijing, China
| | - Stephen Hinshaw
- Department of Psychology, University of California, Berkeley, CA, USA
| | - Xiuyun Lin
- Institute of Developmental Psychology, Faculty of Psychology, Beijing Normal University, Beijing, China
- Beijing Key Laboratory of Applied Experimental Psychology, Faculty of Psychology, Beijing Normal University, Beijing, China
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Brown CE, Bernardin CJ, Beauchamp MT, Kanne SM, Nowell KP. More similar than different: Characterizing special interests in autistic boys and girls based on caregiver report. Autism Res 2024. [PMID: 39169860 DOI: 10.1002/aur.3216] [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: 04/04/2024] [Accepted: 08/06/2024] [Indexed: 08/23/2024]
Abstract
Almost all autistic youths have special interests (SIs), which are focused, intense areas of passion and interest in a particular topic. Emerging research suggests that there are gender differences in SIs among autistic youth; however, commonly used measures that assess for the presence of SIs may not fully capture the granular nature of those differences between autistic boys and girls. Characterizing these differences is important for autism identification in girls, as SIs in autistic girls may often be overlooked by caregivers, teachers, and clinicians due to their more "typical" and more socially oriented content areas compared to autistic boys. This study therefore aimed to more fully characterize gender differences in SIs using a newly developed caregiver-report measure of SIs (the Special Interests Survey; SIS). Caregivers of 1921 autistic youth completed the SIS. Analyses revealed many similarities between boys and girls; there were no gender differences in mean age SI onset, caregivers' perceptions of uniqueness or interferences of endorsed SIs, or duration of previous SIs. There were gender differences in endorsement of less than half (39%) of the SI categories measured, and there were minor differences in the number of endorsed current and past SIs. Categories with significant gender differences fell along typical gender lines (e.g., more boys interested in math and construction, more girls interested in animals and arts/crafts). This study extends the growing literature on SIs and gender differences in autism and has important implications for supporting autistic youth and their families.
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Affiliation(s)
- Cynthia E Brown
- School of Graduate Psychology, Pacific University, Hillsboro, Oregon, USA
| | - Courtney J Bernardin
- Department of Psychological Science, University of Missouri, Columbia, Missouri, USA
| | | | - Stephen M Kanne
- Department of Psychiatry, Center for Autism and the Developing Brain, Weill Cornell Medical College, Westchester, New York, USA
| | - Kerri P Nowell
- Department of Health Psychology, Thompson Center for Autism and Neurodevelopment, University of Missouri, Columbia, Missouri, USA
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Zhang T, Wan Y, Geng L. Unraveling the core and bridge menopausal symptoms of perimenopausal women: a network analysis. Menopause 2024:00042192-990000000-00370. [PMID: 39162480 DOI: 10.1097/gme.0000000000002431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/21/2024]
Abstract
OBJECTIVE Perimenopause is the period from the early menopausal transition to 12 months after the final menstrual period. The clustering of menopausal symptoms poses a challenge for perimenopausal management. Core symptoms are targets for interventions that can alleviate other related symptoms. Bridge symptoms are connectors that link related symptom clusters and can improve the effectiveness of interventions. This study aims to construct a network structure of menopausal symptoms and to identify core and bridge symptoms as a reference for future management. METHODS Two hundred forty-two Chinese perimenopausal women were included in the survey. The structure and associations of the menopausal symptoms assessed by the Greene Climacteric Scale were analyzed using a network analysis. We generated the network structure graph using R software and checked its accuracy and stability. RESULTS In the menopausal transition, the most prevalent symptoms were feeling tired or lacking in energy, excitability, and irritability. Sexual dysfunction was common among early postmenopausal women. Irritability (S = 7.16, C = 0.0167, B = 8) was a core symptom of the network. The depressive symptom cluster was a core symptom cluster, most of which have high centrality indices. Excitability (B = 6) was a bridge symptom connecting the anxiety and depressive symptom clusters. CONCLUSIONS Our study has highlighted the crucial significance of irritability and excitability in perimenopausal management. Overcoming the challenges of perimenopausal management requires the public to ameliorate the prejudice and stigma associated with emotional symptoms.
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Affiliation(s)
| | - Yinglu Wan
- From the Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Geng
- From the Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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35
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Gauld C, Fourneret P, Alderson-Day B, Palmer-Cooper E, Dondé C. Impacts of risk thresholds and age on clinical high risk for psychosis: a comparative network analysis. Eur Arch Psychiatry Clin Neurosci 2024:10.1007/s00406-024-01876-y. [PMID: 39164427 DOI: 10.1007/s00406-024-01876-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Accepted: 08/13/2024] [Indexed: 08/22/2024]
Abstract
One of the main goals for supporting people with a psychotic disorder is early detection and intervention, and the detection of Clinical High Risk (CHR) is a major challenge in this respect. This study sought to compare core symptoms of CHR for psychosis networks based on two CHR self-assessment tools, across different risk thresholds and age groups. This cross-sectional online investigation analyzed 936 individuals for CHR, in France and the UK, with the Prodromal Questionnaire-16 (PQ-16) and the Perceptual and Cognitive Aberrations (PCA). Twelve different symptom networks were constructed, assessing relationships, compactness, centrality, predictability, and comparisons between them, based on different thresholds and age groups. In the above-threshold PQ-16 network, the most central symptom was "Voices or whispers"; in the PCA network, the most central symptom was "Non-relevant thoughts distract or bother". They presented low overall predictability. No significant difference was found between them. This study makes three key contributions. First, this cross-network analyses highlight the relative importance of some central symptoms. Secondly, comparisons between networks demonstrate the unity of the CHR construct across scales, thresholds, and ages, affirming its phenotypic homogeneity, an essential issue for patient care pathways. Thirdly, the low average network predictability suggests the existence of unconsidered symptoms within these CHR networks. These results shed light on the organization of CHR symptoms using routine clinical questionnaires, offering insights for preventive targets in a logic of precision semiology.
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Affiliation(s)
- Christophe Gauld
- Department of Child and Adolescent Psychopathology, CHU de Lyon, 69000, Lyon, France
- Institut des Sciences Cognitives Marc Jeannerod, UMR 5229 CNRS & Université Claude Bernard Lyon 1, 69000, Lyon, France
| | - Pierre Fourneret
- Department of Child and Adolescent Psychopathology, CHU de Lyon, 69000, Lyon, France
- Institut des Sciences Cognitives Marc Jeannerod, UMR 5229 CNRS & Université Claude Bernard Lyon 1, 69000, Lyon, France
| | | | - Emma Palmer-Cooper
- School of Psychology, Centre for Innovation in Mental Health, University of Southampton, Southampton, UK
| | - Clément Dondé
- Univ. Grenoble Alpes, 38000, Grenoble, France.
- INSERM, U1216, 38000, Grenoble, France.
- Psychiatry Department, CHU Grenoble Alpes, 38000, Grenoble, France.
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Huang YH, Liu C, Zhang JB, Li SB, Wang LL, Hu HX, Cai Y, Zhu Z, Chu MY, Wang Y, Lv QY, Lui SSY, Yi ZH, Hui L, Chan RCK. A Transdiagnostic Network Analysis of Childhood Trauma and Psychopathology. Schizophr Bull 2024:sbae137. [PMID: 39148412 DOI: 10.1093/schbul/sbae137] [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] [Indexed: 08/17/2024]
Abstract
BACKGROUND AND HYPOTHESIS Psychiatric comorbidities suggest that symptoms overlap across different diagnoses; the transdiagnostic network approach is valuable for studying psychopathology. Childhood trauma is a common transdiagnostic risk factor for psychiatric disorders, but the complex relationship between childhood trauma and psychopathology has seldom been investigated using a large cross-sectional transdiagnostic sample. STUDY DESIGN This study recruited 869 patients with different diagnoses, including 418 schizophrenia, 215 bipolar disorder, and 236 major depressive disorder. Participants completed psychiatric interviews and self-report questionnaires. We constructed dimension- and item-level Least Absolute Shrinkage and Selection Operator-based (LASSO) networks to explore the relationship between childhood trauma, psychopathology, and duration of illness. Moreover, we constructed directed acyclic graphs (DAGs) to tentatively clarify the potential directions of associations among these variables. Network Comparison Tests (NCTs) were conducted for different diagnostic groups and gender-stratified groups. STUDY RESULTS The transdiagnostic LASSO networks showed that different types of childhood trauma exerted distinct impacts on various psychopathological dimensions. Emotional abuse was linked to depressive symptoms, physical abuse to excited symptoms, sexual abuse to positive and disorganized symptoms, emotional neglect to depressive symptoms and motivation and pleasure (MAP) deficits factor of negative symptoms, and physical neglect to MAP factor. The DAG findings generally concurred with the LASSO network. The NCT showed comparable networks. CONCLUSIONS Our findings suggest that childhood trauma is significantly associated with the development of psychopathology across different diagnostic groups. The affective pathway model suggests that early identification and tailored interventions would be needed for people with a history of childhood trauma.
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Affiliation(s)
- Yi-Hang Huang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, 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
| | - Chao Liu
- Department of General Adult Psychiatry, Nantong Fourth People's Hospital, Jiangsu, China
| | - Jian-Biao Zhang
- Department of General Adult Psychiatry, Nantong Fourth People's Hospital, Jiangsu, China
| | - Shuai-Biao Li
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ling-Ling Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, 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
- School of Psychology, Shanghai Normal University, Shanghai, China
| | - Hui-Xin Hu
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, 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
- Department of Psychology, School of Humanities and Social Sciences, Beijing Forestry University, Beijing, China
| | - Yuan Cai
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China
| | - Zhenhua Zhu
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China
| | - Min-Yi Chu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yi Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, 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
| | - Qin-Yu Lv
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Psychiatry, Huashan Hospital, Fudan University, School of Medicine, Shanghai, China
| | - Simon S Y Lui
- Department of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Zheng-Hui Yi
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Psychiatry, Huashan Hospital, Fudan University, School of Medicine, Shanghai, China
- Institute of Mental Health, Fudan University, Shanghai, China
| | - Li Hui
- Research Center of Biological Psychiatry, Suzhou Guangji Hospital, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, 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
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Huijsdens H, Leeftink D, Geerligs L, Hinne M. Robust Inference of Dynamic Covariance Using Wishart Processes and Sequential Monte Carlo. ENTROPY (BASEL, SWITZERLAND) 2024; 26:695. [PMID: 39202165 PMCID: PMC11353982 DOI: 10.3390/e26080695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Revised: 07/05/2024] [Accepted: 08/13/2024] [Indexed: 09/03/2024]
Abstract
Several disciplines, such as econometrics, neuroscience, and computational psychology, study the dynamic interactions between variables over time. A Bayesian nonparametric model known as the Wishart process has been shown to be effective in this situation, but its inference remains highly challenging. In this work, we introduce a Sequential Monte Carlo (SMC) sampler for the Wishart process, and show how it compares to conventional inference approaches, namely MCMC and variational inference. Using simulations, we show that SMC sampling results in the most robust estimates and out-of-sample predictions of dynamic covariance. SMC especially outperforms the alternative approaches when using composite covariance functions with correlated parameters. We further demonstrate the practical applicability of our proposed approach on a dataset of clinical depression (n=1), and show how using an accurate representation of the posterior distribution can be used to test for dynamics in covariance.
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Affiliation(s)
- Hester Huijsdens
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Thomas van Aquinostraat 4, 6525 GD Nijmegen, The Netherlands; (D.L.); (L.G.); (M.H.)
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38
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Guo Z, Cui Y, Qiu R, Bu L, Yang T, Li Y, Zhu X. The association of impulsivity with depression and anxiety symptoms: A transdiagnostic network analysis and replication. J Affect Disord 2024; 359:100-108. [PMID: 38772504 DOI: 10.1016/j.jad.2024.05.076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 05/11/2024] [Accepted: 05/17/2024] [Indexed: 05/23/2024]
Abstract
BACKGROUND Impulsivity increases the risk for depression and anxiety. However, the granular pathways among them remain unknown. A network approach that moves from disorder-level analysis to symptom-level analysis can provide further understanding of psychopathological mechanisms. In this study, we examined the network structure of impulsivity and separate and comorbid symptoms of depression and anxiety. METHODS Regularized partial-correlation networks were estimated using cross-sectional data from 1047 Chinese participants aged 18-26 years (main dataset, mean age = 21.45 ± 2.01 years) and 325 Chinese participants aged 18-36 years (an independent replication dataset, mean age = 21.49 ± 3.73 years), including impulsivity-depression, impulsivity-anxiety, and impulsivity-depression-anxiety networks. The datasets were collected from 1 June 2023 to 4 August 2023 and from 27 April 2022 to 16 May 2022, respectively. Impulsivity, depression, and anxiety were assessed using Barratt Impulsiveness Scale Version 11, Patient Health Questionnaire-9, and Generalized Anxiety Disorder-7, respectively. Bridge centrality was analyzed, and a network comparison test (NCT) was conducted to investigate the differences between the main dataset and replication dataset. RESULTS The motor impulsivity dimension was revealed to be closely connected with individual symptoms of depression and anxiety regardless of whether they were in separate disorder forms or comorbid forms. In all the networks, motor impulsivity was the most important bridge node. The NCT showed comparable network connectivity and network structure between the main and replication datasets. LIMITATIONS The use of cross-sectional data limited the inferences about the direction of causality between variables. CONCLUSIONS These findings elucidate the psychopathological mechanisms underlying how impulsivity functions within depression, anxiety, and comorbidity and support that motor impulsivity is an important risk factor across different mental disorders and is responsible for comorbidity. The implications of these findings are discussed.
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Affiliation(s)
- Zhihua Guo
- Department of Military Medical Psychology, Air Force Medical University, Xi'an, China
| | - Yi Cui
- Department of Nursing, Air Force Medical University, Xi'an, China
| | - Rui Qiu
- Department of Military Medical Psychology, Air Force Medical University, Xi'an, China
| | - Lingbo Bu
- Teaching Evaluation Center, Air Force Medical University, Xi'an, China
| | - Tianqi Yang
- Department of Military Medical Psychology, Air Force Medical University, Xi'an, China
| | - Yijun Li
- Department of Military Medical Psychology, Air Force Medical University, Xi'an, China
| | - Xia Zhu
- Department of Military Medical Psychology, Air Force Medical University, Xi'an, China.
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Zhang W, He T, Zhou N, Duan L, Chi P, Lin X. Children's oppositional defiant disorder symptoms and neural synchrony in mother-child interactions: An fNIRS study. Neuroimage 2024; 297:120736. [PMID: 39009247 DOI: 10.1016/j.neuroimage.2024.120736] [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: 06/03/2024] [Revised: 07/03/2024] [Accepted: 07/11/2024] [Indexed: 07/17/2024] Open
Abstract
Interpersonal neural synchrony (INS) between mothers and children responds to the temporal similarity of brain signals in joint behavior between dyadic partners and is considered an important neural indicator of the formation of adaptive social interaction bonds. Parent-child interactions are particularly important for the development and maintenance of oppositional defiant disorder (ODD) in children, but the underlying neurocognitive mechanisms are unknown. Therefore, in the current study we measured INS between mothers and children in interactions by using simultaneous functional Near-infrared Spectroscopy (fNIRS), and explored its association with ODD symptoms in children. Seventy-two mother-child dyads were recruited to participate in the study, including 35 children with ODD and 37 healthy children to be used as a control. Each mother-child dyad was measured for neural activity in frontal, parietal, and temporal lobe regions while completing free-play as well as positive, and negative topic discussion tasks. We used Phase-locked value to calculate the synchrony strength and then used the K-means algorithm and k-space based alignment tests to confirm the specific patterns of parent-child synchrony in different brain areas. The results showed that, in free-play (right MFG and bilateral SFG), positive (left TPJ and bilateral SFGdor), and negative (bilateral SFGmed, right ANG, and left MFG) topic discussions, the mother-child pairs showed different patterns of INS. These specific INS patterns were significantly lower in the ODD group compared to the control group and were negatively associated with ODD symptoms in children. Network analyses showed that these INS patterns were connected to different nodes in the ODD symptom network. Our findings suggest that ODD mother-child dyads exhibit lower neural synchrony across a wide range of parent-child interactions. Neural synchrony in the context of interpersonal interactions provides new insights into understanding the neural mechanisms of ODD and can be used as an indicator of neural and socio-environmental factors in the network of psychological disorder symptoms.
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Affiliation(s)
- Wenrui Zhang
- Institute of Developmental Psychology, Faculty of Psychology, Beijing Normal University, Beijing 100875, China
| | - Ting He
- Institute of Developmental Psychology, Faculty of Psychology, Beijing Normal University, Beijing 100875, China
| | - Nan Zhou
- Faculty of Education, University of Macau, Macau, China
| | - Lian Duan
- Shenzhen Key Laboratory of Affective and Social Neuroscience, Center for Brain Disorders and Cognitive Sciences, Shenzhen University, Shenzhen, China
| | - Peilian Chi
- Department of Psychology, University of Macau, Taipa 999078, Macau
| | - Xiuyun Lin
- Institute of Developmental Psychology, Faculty of Psychology, Beijing Normal University, Beijing 100875, China; Beijing Key Laboratory of Applied Experimental Psychology, Faculty of Psychology, Beijing Normal University, Beijing 100875, China.
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White TM, Fuster-RuizdeApodaca MJ, Iniesta C, Prats-Silvestre C, Lazarus JV, Izquierdo R, Jarrín I. Network analysis to prioritize issues for intervention to improve the health-related quality of life of people with HIV in Spain. HIV Med 2024. [PMID: 39126315 DOI: 10.1111/hiv.13693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Accepted: 07/16/2024] [Indexed: 08/12/2024]
Abstract
OBJECTIVES The objective is to assess the interconnectedness of a network of health-related quality of life (HRQoL) variables among people with HIV (PHIV) to identify key areas for which clinical interventions could improve HRQoL for this population. METHODS Between 2021 and 2023, we carried out a cross-sectional study within the Spanish CoRIS cohort. We conducted a weighted and undirected network analysis, which examines complex patterns of relationships and interconnections between variables, to assess a network of eight HRQoL dimensions from the validated Clinic Screening Tool for HIV (CST-HIV): anticipated stigma, psychological distress, sexuality, social support, material deprivation, sleep and fatigue, cognitive problems and physical symptoms. RESULTS A total of 347 participants, predominantly male (93.1%), currently working (79.0%), self-reported homosexual (72.6%) and college-educated (53.9%), were included in the study. Psychological distress showed the highest centrality in the network, indicating its strong connections with sleep and fatigue, cognitive problems and social support within the HRQoL network. CONCLUSIONS Psychological distress, sleep and fatigue, cognitive issues and social support were identified as key factors in an HRQoL network, indicating that interventions focused on these areas could significantly enhance overall well-being.
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Affiliation(s)
- Trenton M White
- ISGlobal, Barcelona, Spain
- Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
- The City University of New York Graduate School of Public Health and Policy (CUNY SPH), New York City, New York, USA
| | - María José Fuster-RuizdeApodaca
- The Spanish Interdisciplinary AIDS Society (SEISIDA), Madrid, Spain
- Faculty of Psychology, Universidad Nacional de Educación a Distancia (UNED), Madrid, Spain
| | - Carlos Iniesta
- The Spanish Interdisciplinary AIDS Society (SEISIDA), Madrid, Spain
- Center of Biomedical Research for Infectious Diseases (CIBERINFEC), Institute of Health Carlos III (ISCIII), Madrid, Spain
| | | | - Jeffrey V Lazarus
- ISGlobal, Barcelona, Spain
- Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
- The City University of New York Graduate School of Public Health and Policy (CUNY SPH), New York City, New York, USA
| | - Rebeca Izquierdo
- Center of Biomedical Research for Infectious Diseases (CIBERINFEC), Institute of Health Carlos III (ISCIII), Madrid, Spain
- National Center for Epidemiology, Institute of Health Carlos III (ISCIII), Madrid, Spain
| | - Inmaculada Jarrín
- Center of Biomedical Research for Infectious Diseases (CIBERINFEC), Institute of Health Carlos III (ISCIII), Madrid, Spain
- National Center for Epidemiology, Institute of Health Carlos III (ISCIII), Madrid, Spain
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Ma Z, Fan Y, Yu Z, Wu W, Zhang X, Li H, Zhao S, Li Y, Li Y, Wang D, Fan F. Cross-Lagged Panel Networks of Sleep Inertia Across Its Distinct Change Patterns Among Intern Nurses with Shift Work in China. Nat Sci Sleep 2024; 16:1201-1212. [PMID: 39131164 PMCID: PMC11316483 DOI: 10.2147/nss.s467433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Accepted: 07/27/2024] [Indexed: 08/13/2024] Open
Abstract
Purpose Although experimental psychopathology using PET, EEG, and fMRI is at the forefront of understanding the underlying mechanisms of sleep inertia, many questions concerning causality remain unanswerable due to ethical constraints and the use of small and heterogeneous samples in experimental methods. There is a pressing need for a novel perspective in a large and relatively homogeneous population to fully capture and elucidate longitudinal processes and dynamic causality that culminate in episodes of sleep inertia over time. Therefore, this study aimed to reveal the causal relationships between symptoms of sleep inertia across its distinct patterns. Patients and Methods A total of 1636 intern nurses participated in the first survey (94.1% validity rate), then 1277 intern nurses were followed up (82.9% tracing rate). Symptoms of sleep inertia were self-reported using the Sleep Inertia Questionnaire. The cross-lagged panel network models were used to examine unique longitudinal relationships between symptoms of sleep inertia across distinct trajectories. Results Four distinct trajectories of sleep inertia were established. Additionally, we found differences in those symptoms with the highest influence on other symptoms at the subsequent point across the networks of four trajectories, particularly, "Difficulty in concentrating" in the persistent-high group and "Feeling tense" in the deteriorating groups. Conclusion The current study highlights changes in sleep inertia based on the long-term course over time. Notably, symptoms of "Difficulty in concentrating" and "Feeling tense" are imperative to address these specific symptoms within subpopulations.
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Affiliation(s)
- Zijuan Ma
- Center for Studies of Psychological Application, School of Psychology, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, People’s Republic of China
| | - Yunge Fan
- Center for Studies of Psychological Application, School of Psychology, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, People’s Republic of China
| | - Zhijun Yu
- Center for Studies of Psychological Application, School of Psychology, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, People’s Republic of China
| | - Wenxuan Wu
- Center for Studies of Psychological Application, School of Psychology, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, People’s Republic of China
| | - Xiangting Zhang
- Center for Studies of Psychological Application, School of Psychology, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, People’s Republic of China
| | - Huolian Li
- Center for Studies of Psychological Application, School of Psychology, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, People’s Republic of China
| | - Shaochen Zhao
- Research Center for Guangdong-Hong Kong-Macao Policing Model Innovation, China People’s Police University, Guangzhou, People’s Republic of China
| | - Yang Li
- Department of Educational Psychology, Faculty of Education, The Chinese University of Hong Kong, Hong Kong, People’s Republic of China
| | - Yuanyuan Li
- Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, People’s Republic of China
| | - Dongfang Wang
- Center for Studies of Psychological Application, School of Psychology, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, People’s Republic of China
| | - Fang Fan
- Center for Studies of Psychological Application, School of Psychology, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, People’s Republic of China
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Tao Y, Niu H, Tang Q, Wang S, Zhang L, Liu G, Liu X. The association between online learning, perceived parental relationship, anxiety, and depression symptoms among secondary school students: insight from symptom network and cross-lagged panel network approach. BMC Public Health 2024; 24:2133. [PMID: 39107757 PMCID: PMC11304912 DOI: 10.1186/s12889-024-19675-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 08/01/2024] [Indexed: 08/10/2024] Open
Abstract
INTRODUCTION Anxiety and depression often co-occur in adolescents, with factors from family and school playing a significant role in the comorbidity. However, network analysis has not examined and clarified the detailed bridge and central symptoms of this comorbidity caused by online learning and perceived parental relationships across different COVID-19 times. METHODS Over four months, 2,356 secondary school students completed the Patient Health Questionnaire-9 and Generalized Anxiety Disorder Scale-7. Participants were divided into harmonious and disharmonious groups based on their answers to a question about parental conflicts. RESULTS The results indicated that adolescents perceiving more parental conflicts showed a denser comorbidity network after four months of online learning. Significant bridge symptoms decreased from three to two across two waves in the harmonious group, while in the disharmonious group, they increased from two to three. The number of central symptoms increased from one in wave 1 to three in wave 2 for the harmonious group, while four in wave 1 decreased to two in wave 2 for the disharmonious group. Furthermore, the CLPN analysis revealed that the strongest positive cross-lagged edge intensity between symptoms was anhedonia-energy in the harmonious group, with anhedonia being the most trigger symptom. In contrast, for the disharmonious group, guilt-suicide and trouble relaxing-excessive worry were the strongest cross-lagged edge, and trouble relaxing was the most trigger symptom. CONCLUSION These findings may have implications for interventions designed to promote adolescent mental health in the context of online learning and parental conflicts.
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Affiliation(s)
- Yanqiang Tao
- Faculty of Psychology, Beijing Normal University, Beijing, 100875, China
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Beijing, 100875, China
| | - Haiqun Niu
- School of Psychology, Nanjing Normal University, Nanjing, 210024, China
| | - Qihui Tang
- Faculty of Psychology, Beijing Normal University, Beijing, 100875, China
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Beijing, 100875, China
| | - Shujian Wang
- Faculty of Psychology, Beijing Normal University, Beijing, 100875, China
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Beijing, 100875, China
| | - Liang Zhang
- College Students' Mental Health Education Center, Northeast Agricultural University, Harbin, 150030, China
| | - Gang Liu
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China.
| | - Xiangping Liu
- Faculty of Psychology, Beijing Normal University, Beijing, 100875, China.
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Beijing, 100875, China.
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Bu T, Peng C, Liu J, Qiu X, Qiao Z, Zhou J, Ke S, Kan Y, Hu X, Qiao K, Liu X, Cao D, Yang Y. Nurse burnout: deep connections and solutions revealed by network analysis. BMC Nurs 2024; 23:531. [PMID: 39095727 PMCID: PMC11297739 DOI: 10.1186/s12912-024-02190-7] [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: 05/24/2024] [Accepted: 07/22/2024] [Indexed: 08/04/2024] Open
Abstract
BACKGROUND Burnout is very important to nurses' physical and mental health and career development. Current approaches to assessing nurse burnout tend to use a total score modeling paradigm to explore the impact of external factors on burnout. The purpose of this study is to delve into the item-level relationship between nurse burnout and its influencing factors at both the social and psychological levels using a network analysis approach. METHODS This study was conducted in June 2023 and 1,005 nurses from 4 hospitals out of 8 tertiary care hospitals in Harbin were selected to participate in this study using whole cluster sampling method. Measurements included a general demographic questionnaire, Trait coping styles questionnaire, Organizational commitment questionnaire, Work-family conflict scale, Transformational leadership questionnaire, and Maslach Burnout Inventory-General Survey. RESULTS Our results suggest that "C1 Time-Based work interference with family" showed the strongest centrality and bridging in the overall network. This finding underscores its centrality to burnout. Other strongest bridge symptoms included "E2 Reduced personal accomplishment" and "A1 Positive coping styles" indicating their strongest connections to other clusters. CONCLUSIONS Nurse administrators should be encouraged to pay more attention to nurses' work situations and family distress, and to help nurses in a flexible way.
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Affiliation(s)
- Tianyi Bu
- Psychology and Health Management Center, Harbin Medical University, Harbin, Heilongjiang, China
| | - Chundi Peng
- Psychology and Health Management Center, Harbin Medical University, Harbin, Heilongjiang, China
| | - Jiangheng Liu
- Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China
| | - Xiaohui Qiu
- Psychology and Health Management Center, Harbin Medical University, Harbin, Heilongjiang, China
| | - Zhengxue Qiao
- Psychology and Health Management Center, Harbin Medical University, Harbin, Heilongjiang, China
| | - Jiawei Zhou
- Psychology and Health Management Center, Harbin Medical University, Harbin, Heilongjiang, China
| | - Siyuan Ke
- Psychology and Health Management Center, Harbin Medical University, Harbin, Heilongjiang, China
| | - Yuecui Kan
- Psychology and Health Management Center, Harbin Medical University, Harbin, Heilongjiang, China
| | - Xiaomeng Hu
- Psychology and Health Management Center, Harbin Medical University, Harbin, Heilongjiang, China
| | - Kexin Qiao
- Psychology and Health Management Center, Harbin Medical University, Harbin, Heilongjiang, China
| | - Xuan Liu
- Psychology and Health Management Center, Harbin Medical University, Harbin, Heilongjiang, China
| | - Depin Cao
- Department of Medical Education Management, School of Health management, Harbin Medical University, Harbin, Heilongjiang, China.
| | - Yanjie Yang
- Psychology and Health Management Center, Harbin Medical University, Harbin, Heilongjiang, China.
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Barnby JM, Haslbeck JMB, Rosen C, Sharma R, Harrow M. Modelling the longitudinal dynamics of paranoia in psychosis: A temporal network analysis over 20 years. Schizophr Res 2024; 270:465-475. [PMID: 38996524 DOI: 10.1016/j.schres.2024.06.055] [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: 08/03/2023] [Revised: 06/28/2024] [Accepted: 06/28/2024] [Indexed: 07/14/2024]
Abstract
BACKGROUND Paranoia is a key feature of psychosis that can be highly debilitating. Theories of paranoia mostly interface with short-scale or cross-sectional data models, leaving the longitudinal course of paranoia underspecified. METHODS We develop an empirical characterisation of two aspects of paranoia - persecutory and referential delusions - in individuals with psychosis over 20 years. We examine delusional dynamics by applying a Graphical Vector Autoregression Model to data collected from the Chicago Follow-up Study (n = 135 with a range of psychosis-spectrum diagnoses). We adjusted for age, sex, IQ, and antipsychotic use. RESULTS We found that referential and persecutory delusions are central themes, supported by other primary delusions, and are strongly autoregressive - the presence of referential and persecutory delusions is predictive of their future occurrence. In a second analysis we demonstrate that social factors influence the severity of referential, but not persecutory, delusions. IMPLICATIONS We suggest that persecutory delusions represent central, resistant states in the cognitive landscape, whereas referential beliefs are more flexible, offering an important window of opportunity for intervention. Our data models can be collated with prior biological, computational, and social work to contribute toward a more complete theory of paranoia and provide more time-dependent evidence for optimal treatment targets.
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Affiliation(s)
- J M Barnby
- Social Computation and Representation Lab, Department of Psychology, Royal Holloway, University of London, London, UK; Cultural and Social Neuroscience Group, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, University of London, London, UK.
| | - J M B Haslbeck
- Department of Clinical Psychological Science, Maastricht University, the Netherlands; Department of Psychological Methods, University of Amsterdam, the Netherlands
| | - C Rosen
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, USA
| | - R Sharma
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, USA
| | - M Harrow
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, USA
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Delaquis CP, Godart N, Barry C, Ringuenet D, Maria AS, Nicolas I, Berthoz S. Perfectionism, self-esteem, and affective symptoms in anorexia nervosa subtypes: A network analysis of French inpatients. J Clin Psychol 2024; 80:1852-1875. [PMID: 38646977 DOI: 10.1002/jclp.23698] [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: 11/16/2023] [Revised: 03/28/2024] [Accepted: 04/08/2024] [Indexed: 04/25/2024]
Abstract
OBJECTIVE Previous studies have highlighted the relevance of perfectionism, self-esteem, and anxio-depressive symptoms in anorexia nervosa (AN). However, the relationships between these factors and cardinal eating disorders (ED) symptoms remain unclear, particularly in AN subtypes. This study aimed to examine their interconnections using network analysis. METHOD The sample included n = 338 inpatients with AN who completed the Eating Disorder Examination Questionnaire, Frost Multidimensional Perfectionism Scale, Rosenberg Self-Esteem Scale, and Hospital Anxiety and Depression Scale. Using network analysis, we estimated three networks: full sample, AN-restrictive (AN-R) and AN-binge/purging (AN-BP) subtypes. We estimated central and bridge symptoms using expected influence and conducted an exploratory network comparison test to compare AN subtypes. RESULTS Overvaluation of Weight and Shape, Concern over Mistakes, and Personal Standards were consistently central in all networks. The most central bridge symptoms across all networks were Concern over Mistakes and Self-Esteem. Concern over Mistakes bridged perfectionism and ED symptoms, while Self-Esteem was highly connected to all symptom clusters. Anxiety was significantly more central in the AN-R network compared to the AN-BP network. CONCLUSIONS The present study contributes to a growing body of network studies suggesting that nodes related to perfectionism are just as central as cardinal ED symptoms, indicating the relevance of perfectionism in ED pathology. The high bridge centrality of self-esteem suggests that it may be an important link between perfectionism, mood, and ED symptoms. Future research should investigate the efficacy of targeting multiple psychological factors in the treatment of AN, as well as their potential transdiagnostic relevance.
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Affiliation(s)
| | - Nathalie Godart
- Fondation Santé des Etudiants de France, Paris, France
- CESP, Inserm, Université Paris Saclay, Villejuif, France
- UFR Simone Veil-Santé, Université Versailles Saint-Quentin-en-Yvelines, Montigny-le-Bretonneux, France
| | - Caroline Barry
- CESP, Inserm, Université Paris Saclay, Villejuif, France
| | - Damien Ringuenet
- CESP, Inserm, Université Paris Saclay, Villejuif, France
- Unité de Traitement des Troubles des Conduites Alimentaires, Département de Psychiatrie et d'Addictologie, Hôpital Paul Brousse, Villejuif, France
| | | | - Isabelle Nicolas
- Department of Psychiatry, Institut Mutualiste Montsouris, Paris, France
| | - Sylvie Berthoz
- INCIA CNRS UMR 5287, Univ. Bordeaux, Bordeaux, France
- Department of Psychiatry, Institut Mutualiste Montsouris, Paris, France
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Ihm HK, Kim H, Kim J, Park WY, Kang HS, Park J, Won HH, Myung W. Genetic network structure of 13 psychiatric disorders in the general population. Eur Arch Psychiatry Clin Neurosci 2024; 274:1231-1236. [PMID: 37074466 DOI: 10.1007/s00406-023-01601-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 03/29/2023] [Indexed: 04/20/2023]
Abstract
Psychiatric disorders frequently co-occur and share common symptoms and genetic backgrounds. Previous research has used genome-wide association studies to identify the interrelationships among psychiatric disorders and identify clusters of disorders; however, these methods have limitations in terms of their ability to examine the relationships among disorders as a network structure and their generalizability to the general population. In this study, we explored the network structure of the polygenic risk score (PRS) for 13 psychiatric disorders in a general population (276,249 participants of European ancestry from the UK Biobank) and identified communities and the centrality of the network. In this network, the nodes represented a PRS for each psychiatric disorder and the edges represented the connections between nodes. The psychiatric disorders comprised four robust communities. The first community included attention-deficit hyperactivity disorder, autism spectrum disorder, major depressive disorder, and anxiety disorder. The second community consisted of bipolar I and II disorders, schizophrenia, and anorexia nervosa. The third group included Tourette's syndrome and obsessive-compulsive disorder. Cannabis use disorder, alcohol use disorder, and post-traumatic stress disorder make up the fourth community. The PRS of schizophrenia had the highest values for the three metrics (strength, betweenness, and closeness) in the network. Our findings provide a comprehensive genetic network of psychiatric disorders and biological evidence for the classification of psychiatric disorders.
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Affiliation(s)
- Hong Kyu Ihm
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, 29, Gumi-ro 173 beon-gil Bundang-gu, Seongnam-Si, Gyeonggi-Do, 13619, Republic of Korea
| | - Hyejin Kim
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Samsung Medical Center, Sungkyunkwan University, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, South Korea
| | - Jinho Kim
- Future Innovation Research Division, Precision Medicine Center, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Woong-Yang Park
- Samsung Genome Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Hyo Shin Kang
- Department of Psychology, Kyungpook National University, Daegu, Republic of Korea
| | - Jungkyu Park
- Department of Psychology, Kyungpook National University, Daegu, Republic of Korea
| | - Hong-Hee Won
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Samsung Medical Center, Sungkyunkwan University, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, South Korea.
- Samsung Genome Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
| | - Woojae Myung
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, 29, Gumi-ro 173 beon-gil Bundang-gu, Seongnam-Si, Gyeonggi-Do, 13619, Republic of Korea.
- Department of Psychiatry, College of Medicine, Seoul National University, Seoul, South Korea.
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Stevenson A, Misra S, Girma E, Isvoranu AM, Akena D, Alemayehu M, Atwoli L, Gelaye B, Gichuru S, Kariuki SM, Kwobah EK, Kyebuzibwa J, Mwema RM, Newman CP, Newton CRJC, Ongeri L, Stroud RE, Teferra S, Koenen KC, Seedat S. Relationships between trauma types and psychotic symptoms: A network analysis of patients with psychotic disorders in a large, multi-country study in East Africa. Compr Psychiatry 2024; 133:152504. [PMID: 38876004 PMCID: PMC11253580 DOI: 10.1016/j.comppsych.2024.152504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 04/30/2024] [Accepted: 05/30/2024] [Indexed: 06/16/2024] Open
Abstract
BACKGROUND The link between trauma exposure and psychotic disorders is well-established. Further, specific types of trauma may be associated with specific psychotic symptoms. Network analysis is an approach that can advance our understanding of the associations across trauma types and psychotic symptoms. METHODS We conducted a network analysis with data from 16,628 adult participants (mean age [standard deviation] = 36.3 years [11.5]; 55.8% males) with psychotic disorders in East Africa recruited between 2018 and 2023. We used the Life Events Checklist and the Mini International Neuropsychiatric Interview to determine whether specific trauma types experienced over the life course and specific psychotic symptoms were connected. We used an Ising model to estimate the network connections and bridge centrality statistics to identify nodes that may influence trauma types and psychotic symptoms. RESULTS The trauma type "exposure to a war zone" had the highest bridge strength, betweenness, and closeness. The psychotic symptom "odd or unusual beliefs" had the second highest bridge strength. Exposure to a war zone was directly connected to visual hallucinations, odd or unusual beliefs, passivity phenomena, and disorganized speech. Odd or unusual beliefs were directly connected to transportation accidents, physical assault, war, and witnessing sudden accidental death. CONCLUSION Specific trauma types and psychotic symptoms may interact bidirectionally. Screening for psychotic symptoms in patients with war-related trauma and evaluating lifetime trauma in patients with odd or unusual beliefs in clinical care may be considered points of intervention to limit stimulating additional psychotic symptoms and trauma exposure. This work reaffirms the importance of trauma-informed care for patients with psychotic disorders.
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Affiliation(s)
- Anne Stevenson
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
| | - Supriya Misra
- Department of Public Health, San Francisco State University, San Francisco, CA, USA
| | - Engida Girma
- Department of Psychiatry, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | | | - Dickens Akena
- Department of Psychiatry, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Melkam Alemayehu
- Department of Psychiatry, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Lukoye Atwoli
- Department of Mental Health and Behavioural Sciences, School of Medicine, Moi University College of Health Sciences, Eldoret, Kenya; Brain and Mind Institute, The Aga Khan University, Nairobi, Kenya; Department of Medicine, Medical College East Africa, The Aga Khan University, Nairobi, Kenya
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Department of Psychiatry, Harvard Medical School and the Chester M. Pierce MD, Division of Global Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Stella Gichuru
- Department of Mental Health, Moi Teaching and Referral Hospital, Eldoret, Kenya
| | - Symon M Kariuki
- Neurosciences Unit, Clinical Department, KEMRI-Wellcome Trust Research Programme-Coast, Kilifi, Kenya; Department of Psychiatry, University of Oxford, Oxford, UK
| | - Edith Kamaru Kwobah
- Department of Mental Health, Moi Teaching and Referral Hospital, Eldoret, Kenya
| | - Joseph Kyebuzibwa
- Department of Psychiatry, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Rehema M Mwema
- Neurosciences Unit, Clinical Department, KEMRI-Wellcome Trust Research Programme-Coast, Kilifi, Kenya
| | - Carter P Newman
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Charles R J C Newton
- Neurosciences Unit, Clinical Department, KEMRI-Wellcome Trust Research Programme-Coast, Kilifi, Kenya; Department of Psychiatry, University of Oxford, Oxford, UK
| | - Linnet Ongeri
- Centre for Clinical Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Rocky E Stroud
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Solomon Teferra
- Department of Psychiatry, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Karestan C Koenen
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Psychiatric & Neurodevelopmental Genetics Unit, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Soraya Seedat
- South African Medical Research Council Unit on the Genomics of Brain Disorders, Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
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48
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Tong W, He W, Wang Y, Xie C, Fang L, Jia J, Fang X. Associations Between Internet-Specific Parenting, General Parenting, and Adolescents' Online Behaviors: A Cross-Lagged Panel Network Analysis. J Youth Adolesc 2024; 53:1847-1860. [PMID: 38615131 DOI: 10.1007/s10964-024-01981-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 03/25/2024] [Indexed: 04/15/2024]
Abstract
Parents play a crucial role in adolescents' Internet use. Both general parenting (i.e., autonomy-supportive and controlling parenting) and Internet-specific parenting (i.e., restrictive mediation, active mediation, and parental encouragement) are related to adolescents' online behaviors. However, existing studies have focused either on an Internet-specific parenting or general parenting strategy and have neglected their interaction, failing to capture the intricate nature of the parenting context of youth's online behaviors. Few studies have examined parental encouragement or acknowledged the bidirectional influence of parenting on adolescents' online behaviors. To address this gap, this study employed a cross-lagged panel network model to examine the associations among restrictive and active mediation, parental encouragement, and autonomy-supportive and controlling parenting, as well as the interplay of all five parenting strategies with adolescents' online behaviors. A total of 564 Chinese students (51.1% male; mean age = 14.54, SD = 0.7) completed the survey at two time points. The results indicate that in most cases, previous online behaviors are significant and strong predictors of subsequent parenting strategies and not vice versa, corroborating the child effect. The parent and reciprocal effects were observed in the problematic smartphone-use domain, suggesting that the effects may differ for distinct behavioral domains. The effects of parental mediation extend beyond parental encouragement, implying that risk-prevention-related parenting is an effective means of guiding adolescents' online behaviors. Autonomy-relevant general parenting is closely related to active mediation and parental encouragement, while restrictive general parenting is closely related to restrictive mediation, suggesting a consistency between Internet-specific and general parenting strategies.
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Affiliation(s)
- Wei Tong
- School of Psychology, Shanghai Normal University, Shanghai, China
- Lab for Educational Big Data and Policymaking (Ministry of Education), Shanghai Normal University, Shanghai, China
| | - Wen He
- School of Psychology, Shanghai Normal University, Shanghai, China
- Lab for Educational Big Data and Policymaking (Ministry of Education), Shanghai Normal University, Shanghai, China
| | - Yuqing Wang
- School of Psychology, Shanghai Normal University, Shanghai, China
| | - Cheng Xie
- Sichuan Tianfu New Area Xiangshan High School, Chengdu, China
| | - Liting Fang
- School of Psychology, Shanghai Normal University, Shanghai, China
| | - Jichao Jia
- Institute of Developmental Psychology, Beijing Normal University, Beijing, China.
| | - Xiaoyi Fang
- Institute of Developmental Psychology, Beijing Normal University, Beijing, China.
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49
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Larra MF, Gajewski PD, Getzmann S, Wascher E, Metzler Y. Stress from early life to adulthood: Is there a protective role of cognitive control? Brain Cogn 2024; 178:106165. [PMID: 38759431 DOI: 10.1016/j.bandc.2024.106165] [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: 01/15/2024] [Revised: 03/31/2024] [Accepted: 04/26/2024] [Indexed: 05/19/2024]
Abstract
Early life events can have long-lasting effects that may impact the quality of life into adulthood. The link between childhood adversities and adult mental and physical health is well documented, however, the underlying mechanisms remain poorly understood. Executive functions are assumed to be a key factor in successfully dealing with cognitive-emotional challenges thereby contributing to stress resilience and mental health across the lifespan. Here, we examined whether cognitive control moderates the link between early life adversity and depression. Data was available from a sample of 424 participants aged 20-70 years (Clinicaltrials.gov: NCT05155397). They performed in the Stroop task and behavior as well as frontal theta power were recorded. Negative childhood experiences were assessed with the Childhood Trauma Questionnaire (CTQ), chronic stress was measured with the Trier Inventory for Chronic Stress (TICS) and depression symptoms with Beck's Depression Inventory (BDI). The CTQ predicted symptoms of chronic stress and depression. Regression models pointed to the TICS as a crucial mediator in the relationship between CTQ and BDI. However, parameters of cognitive control demonstrated a rather weak effect as moderators. These results indicate that chronic stress is an important mediator linking childhood trauma to depression but suggest only a limited role for cognitive control.
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Affiliation(s)
- Mauro F Larra
- IfADo - Leibniz Research Centre for Working Environment and Human Factors, Department of Ergonomics, Dortmund, Germany.
| | - Patrick D Gajewski
- IfADo - Leibniz Research Centre for Working Environment and Human Factors, Department of Ergonomics, Dortmund, Germany
| | - Stephan Getzmann
- IfADo - Leibniz Research Centre for Working Environment and Human Factors, Department of Ergonomics, Dortmund, Germany
| | - Edmund Wascher
- IfADo - Leibniz Research Centre for Working Environment and Human Factors, Department of Ergonomics, Dortmund, Germany; German Center for Mental Health (DZPG), partner site Bochum/Marburg, Germany
| | - Yannick Metzler
- IfADo - Leibniz Research Centre for Working Environment and Human Factors, Department of Ergonomics, Dortmund, Germany
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50
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Li S, Feng N, Cui L. Network analysis of social anxiety and problematic mobile phone use in Chinese adolescents: A longitudinal study. Addict Behav 2024; 155:108026. [PMID: 38593598 DOI: 10.1016/j.addbeh.2024.108026] [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: 11/01/2023] [Revised: 03/26/2024] [Accepted: 04/03/2024] [Indexed: 04/11/2024]
Abstract
Social anxiety is a common comorbid factor of problematic mobile phone use, but the relationship between them from the inside structure has been underexplored. This two-wave longitudinal study aims to identify the central symptoms of problematic mobile phone use and social anxiety, respectively, as well as the bridge symptoms between the two disorders. Furthermore, this study examined the time and gender differences. A total of 3,294 Chinese adolescents were recruited during two waves (T1: January 2023; T2: August 2023), and completed the questionnaires of social anxiety and problematic mobile phone use. Through network analysis, the results showed that 1) the central symptom of problematic mobile phone use was "loss of control" both at T1 and T2, 2) the central symptom of social anxiety was "fear of negative evaluation" both at T1 and T2, and 3) the bridge symptom between social anxiety and problematic mobile phone use was "withdrawal" both at T1 and T2. Moreover, the network comparison test indicated that the nodes of social anxiety were more strongly associated with "craving", "loss of control", and "negative life consequences" of problematic mobile phone use at T2 than at T1. The nodes of social anxiety were more strongly associated with "negative life consequences" of problematic mobile phone use for boys than for girls, while the "fear of negative evaluation" was more strongly associated with "loss of control" for girls than for boys. These findings provide new scientific basis for interventions targeting adolescents who are susceptible to social anxiety and problematic mobile phone use.
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Affiliation(s)
- Shuang Li
- Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, Institute of Brain and Education Innovation, The School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
| | - Ningning Feng
- Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, Institute of Brain and Education Innovation, The School of Psychology and Cognitive Science, East China Normal University, Shanghai, China; Shanghai Centre for Brain Science and Brain-Inspired Technology, Shanghai, China
| | - Lijuan Cui
- Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, Institute of Brain and Education Innovation, The School of Psychology and Cognitive Science, East China Normal University, Shanghai, China; Shanghai Centre for Brain Science and Brain-Inspired Technology, Shanghai, China.
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