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Liu Z, Wang X, Deng H, Huang J, Wang J, Chen W, Yang K, Li W, Chen S, Xie T, Liu R, Tian L, Yang F, Tian B, Li Y, Li CSR, Tan Y. Network structure of psychotic symptoms and childhood trauma in first-episode versus treatment-resistant schizophrenia. J Psychiatr Res 2025; 185:31-39. [PMID: 40147152 DOI: 10.1016/j.jpsychires.2025.03.037] [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: 12/02/2024] [Revised: 03/16/2025] [Accepted: 03/22/2025] [Indexed: 03/29/2025]
Abstract
OBJECTIVE The study aims to examine the network structures of childhood trauma (CT) and psychotic symptoms in patients with first-episode schizophrenia (FES) and treatment-resistant schizophrenia (TRS). Specifically, it seeks to elucidate how different dimensions of CT influence symptoms across FES and TRS. METHODS 289 patients with FES and 50 patients with TRS were assessed using Positive and Negative Syndrome Scale (PANSS) and Childhood Trauma Questionnaire. Partial correlation was used to elucidate the network connections between CT and symptoms in FES and TRS patients. Betweenness, closeness coefficient, and community detection were further calculated to investigate the interactions between CT and psychotic symptoms. RESULTS The analysis revealed three key findings: (1) Symptom-trauma networks differ between FES and TRS patients; (2) Based on network analysis, CT in TRS forms tight interlinks, as evidenced by a larger value of closeness coefficient, which influences psychotic symptoms in TRS compared to FES. Sexual abuse plays a vital role in the TRS network while emotional neglect is more important in FES; and (3) The divergent community structures suggest distinct pathways through which CT and symptoms in FES and TRS patients. Specifically, in the FES symptom-CT network, CT influences the symptoms through traditional symptom patterns, while in TRS the pathway cannot be divided by traditional divisions and it involves a complex manner. CONCLUSION The findings suggest that the pathways linking childhood trauma experiences and clinical symptoms differ between FES and TRS patients, providing valuable insights into how early traumatic stress may contribute to symptom evolution in schizophrenia.
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Affiliation(s)
- Zhaofan Liu
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China
| | - Xiaoying Wang
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China
| | - Hu Deng
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China
| | - Junchao Huang
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China
| | - Jue Wang
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China
| | - Wenjin Chen
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China
| | - Kebing Yang
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China
| | - Wei Li
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China
| | - Song Chen
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China
| | - Ting Xie
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China
| | - Ran Liu
- School of Mathematics and Statistics, Beijing Jiaotong University, Beijing, China
| | - Li Tian
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Fude Yang
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China
| | - Baopeng Tian
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China
| | - Yanli Li
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China
| | - Chiang-Shan R Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Yunlong Tan
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China.
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Tao R, Wang S, Lu Q, Liu Y, Xia L, Mo D, Geng F, Liu T, Liu Y, Jiang F, Liu HZ, Tang YL. Interconnected mental health symptoms: network analysis of depression, anxiety, stress, and burnout among psychiatric nurses in the context of the COVID-19 pandemic. Front Psychiatry 2024; 15:1485726. [PMID: 39529901 PMCID: PMC11550990 DOI: 10.3389/fpsyt.2024.1485726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2024] [Accepted: 10/08/2024] [Indexed: 11/16/2024] Open
Abstract
Background Mental health symptoms such as anxiety, depression, stress, and burnout are common among healthcare workers. However, the interconnections among them remain under-explored. This study aimed to address the interrelationships among these symptoms in psychiatric nurses. Methods We conducted a nationwide survey in the early stage of the COVID-19 pandemic (January to March 2021) to investigate the interconnectedness of depression, anxiety, stress, and burnout among psychiatric nurses. Using network analysis, we identified central symptoms, important bridge symptoms, and the correlations among these central symptoms. Results Of the 9,224 psychiatric nurses (79.2% female) included in the statistical analyses, 27.6% reported clinically significant depression, 31.2% anxiety, 14.5% stress, and 23.8% burnout. Network analysis revealed that stress had the highest expected influence (EI) value (0.920) and the highest strength among all nodes. The node for depression scored the highest in both closeness and betweenness. Emotional exhaustion (EE) had the highest bridge expected influence (BEI) of 0.340, with the strongest intergroup association between EE and depression. No significant differences were found in gender or frontline work experience (all p > 0.05). Conclusions Burnout, depression, anxiety, and stress are relatively common among psychiatric nurses in the context of the COVID-19 pandemic. While anxiety was the most prevalent, stress emerged as the core symptom, and depression as an important bridging node. Interventions targeting the core symptoms and bridging nodes may improve the mental health of psychiatric nurses.
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Affiliation(s)
- Rui Tao
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
- Department of Psychiatry, Anhui Psychiatric Center, Hefei, China
| | - Song Wang
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
- Department of Psychiatry, Anhui Psychiatric Center, Hefei, China
| | - Qingfang Lu
- Department of Psychiatry and Psychology, Taihe Hospital of Traditional Chinese Medicine, Fuyang, China
| | - Yunxiao Liu
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
- Department of Psychiatry, Anhui Psychiatric Center, Hefei, China
| | - Lei Xia
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
- Department of Psychiatry, Anhui Psychiatric Center, Hefei, China
| | - Daming Mo
- Department of Substance-Related Disorders, Hefei Fourth People’s Hospital, Hefei, China
| | - Feng Geng
- Department of Psychiatry, Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Tingfang Liu
- Research Department, School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Yuanli Liu
- Research Department, School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Feng Jiang
- Research Department, School of International and Public Affairs, Shanghai Jiao Tong University, Shanghai, China
- Research Department, Institute of Healthy Yangtze River Delta, Shanghai Jiao Tong University, Shanghai, China
- Institute of Health Policy, Shanghai Jiao Tong University, Shanghai, China
- Institute of Grand Health, Wenzhou Medical University, Wenzhou, China
| | - Huan-Zhong Liu
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
- Department of Psychiatry, Anhui Psychiatric Center, Hefei, China
- Department of Psychiatry, Huizhou Second People’s Hospital, Huizhou, China
| | - Yi-lang Tang
- Addiction Psychiatry Fellowship Program, Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, United States
- Mental Health Service Line, Joseph Maxwell Cleland Atlanta VA Medical Center, Decatur, GA, United States
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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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Torregrossa LJ, Liu J, Armstrong K, Heckers S, Sheffield JM. Network Structure of Childhood Trauma, Bodily Disturbances, and Schizotypy in Schizophrenia and Nonclinical Controls. SCHIZOPHRENIA BULLETIN OPEN 2024; 5:sgae006. [PMID: 38558890 PMCID: PMC10977043 DOI: 10.1093/schizbullopen/sgae006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Background and Hypothesis Exposure to childhood trauma has been linked to the development of psychosis and bodily self-disturbances, 2 hallmarks of schizophrenia (SZ). Prior work demonstrated that bodily disturbances serve as a bridge between childhood trauma and SZ symptomatology, but the diagnostic specificity of these connections remains unknown. This study uses network analysis to bridge this gap by comparing the interplays between childhood trauma, bodily self-disturbances, and schizotypy in clinical and general populations. Study Design Networks were constructed to examine the relationships between schizotypy (Schizotypal Personality Questionnaire; SPQ), bodily self-disturbances (Perceptual Aberration Scale; PAS), and childhood trauma (Childhood Trauma Questionnaire, CTQ) in 152 people with SZ and 162 healthy comparison participants (HC). The Fused Graphical Lasso was used to jointly estimate the networks in the 2 groups and the structure and strength of the networks were compared. Node centrality and shortest paths between CTQ, PAS, and schizotypy were examined. Study Results When comparing SZ and HC, the network of bodily self-disturbances, childhood trauma, and schizotypy were similarly structured, but the network was significantly stronger in SZ than HC. In both groups, bodily self-disturbances were on one of the shortest paths between childhood trauma to schizotypal experiences. Conclusions Our findings revealed reliable associations between childhood trauma, bodily self-disturbance, and schizotypy, with bodily disturbances acting as a bridge from childhood trauma to schizotypy. The elevated strength of the SZ network indicates a more highly interconnected, and therefore reactive network in which exposure to childhood trauma can more easily activate bodily disturbances and schizotypy.
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Affiliation(s)
- Lénie J Torregrossa
- Department of Psychiatry, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jinyuan Liu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kristan Armstrong
- Department of Psychiatry, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Stephan Heckers
- Department of Psychiatry, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Julia M Sheffield
- Department of Psychiatry, Vanderbilt University Medical Center, Nashville, TN, USA
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