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Ince C, Albertella L, Liu C, Tiego J, Fontenelle LF, Chamberlain SR, Yücel M, Rotaru K. Problematic pornography use and novel patterns of escalating use: A cross-sectional network analysis with two independent samples. Addict Behav 2024; 156:108048. [PMID: 38761685 PMCID: PMC7616041 DOI: 10.1016/j.addbeh.2024.108048] [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: 12/07/2023] [Revised: 04/09/2024] [Accepted: 04/30/2024] [Indexed: 05/20/2024]
Abstract
Modern internet pornography allows users to harness sexual novelty in numerous ways, which can be used to overcome desensitisation through increasing volume of use (quantitative tolerance), progressing to more stimulating genres (qualitative escalation), skipping between stimuli (tab-jumping), delaying orgasm ('edging'), and engaging in pornographic binges. However, existing research has not yet evaluated how these potentially reciprocal consumption patterns relate to problematic pornography use (PPU). To this end, we recruited two independent samples of male pornography users (N1 = 1,356, Mage = 36.86, SD = 11.26; N2 = 944, Mage = 38.69, SD = 12.26) and examined the relationships between these behavioural dimensions and self-reported difficulties in controlling one's pornography use. Data were analysed through the network analysis approach (using Gaussian graphical models). As hypothesised, i) quantitative tolerance was centrally placed within the overall network, and ii) acted as a statistical bridge node between other patterns of pornography use (e.g., pornographic binges), and all measured facets of PPU. Our results are consistent with other emerging literature suggesting that tolerance, pornographic binges, tab-jumping, and edging behaviours as relevant features ofPPU, and that upscaling overall usage may connect broader patterns of use with problematic engagement. Clinical and theoretical implications, as well as future research directions, are discussed.
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Affiliation(s)
- Campbell Ince
- School of Psychological Sciences, Monash University, Australia; Brain Park, Turner Institute for Brain and Mental Health, Monash University, Australia.
| | - Lucy Albertella
- School of Psychological Sciences, Monash University, Australia; Brain Park, Turner Institute for Brain and Mental Health, Monash University, Australia
| | - Chang Liu
- School of Psychological Sciences, Monash University, Australia; Brain Park, Turner Institute for Brain and Mental Health, Monash University, Australia
| | - Jeggan Tiego
- School of Psychological Sciences, Monash University, Australia; Brain Park, Turner Institute for Brain and Mental Health, Monash University, Australia; Monash Biomedical Imaging, Monash University, 770 Blackburn Rd, Clayton, VIC 3800, Australia
| | - Leonardo F Fontenelle
- Brain Park, Turner Institute for Brain and Mental Health, Monash University, Australia; Institute of Psychiatry, Federal University of Rio de Janeiro, Brazil; D'Or Institute for Research and Education (IDOR), Brazil
| | - Samuel R Chamberlain
- Department of Psychiatry, Faculty of Medicine, University of Southampton, UK; Southern Health NHS Foundation Trust, Southampton, UK
| | - Murat Yücel
- School of Psychological Sciences, Monash University, Australia; Brain Park, Turner Institute for Brain and Mental Health, Monash University, Australia; QIMR Berghofer Medical Research Institute, Herston, QLD, Australia
| | - Kristian Rotaru
- School of Psychological Sciences, Monash University, Australia; Brain Park, Turner Institute for Brain and Mental Health, Monash University, Australia; Monash Business School, Monash University, Australia
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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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Buta E, Gueorguieva R, Simon P, Garrison KA. Behavioral Precursors of Nicotine Product Use Trajectories Among Youth. Am J Prev Med 2024; 67:360-369. [PMID: 38782105 DOI: 10.1016/j.amepre.2024.05.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 05/14/2024] [Accepted: 05/15/2024] [Indexed: 05/25/2024]
Abstract
INTRODUCTION Preventing nicotine use among youth is a public health priority. Nicotine use emerges from complex relationships between numerous factors. This project used network analysis to model behavioral precursors of nicotine use (knowledge, attitudes, perceptions, intentions) among youth who had never used nicotine and determine which predicted future trajectories of use across multiple nicotine products. METHODS Data were from the Population Assessment of Tobacco and Health study (2013-2018; analyzed 2023-2024), youth ages 12-17, who reported never using nicotine at Wave 1. Network structure was determined for behavioral precursors at Wave 1 and central network nodes were identified (N=5,087). Central nodes were then tested as predictors of trajectories of use across multiple nicotine products during Waves 1-4 (N=3,851). RESULTS Central nodes of the Wave 1 network were harm perception, expectancy that tobacco would calm anger/reduce stress, and intention to try. Those with lower intent to try at Wave 1 had lower odds of being in an Experimentation or Use class versus a Nonuse class during Waves 1-4 (p<0.0001). Those with more accurate harm perception had lower odds of being in an Experimentation versus Nonuse class (p=0.004). Those with positive expectancies had higher odds of being in an Experimentation versus Nonuse or Use class (p=0.04, 0.02). CONCLUSIONS Findings suggest a network model of behavioral precursors of nicotine use that can be tested, including central nodes that predicted trajectories of use across multiple nicotine products, and therefore may be priority intervention targets.
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Affiliation(s)
- Eugenia Buta
- Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut
| | - Ralitza Gueorguieva
- Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut
| | - Patricia Simon
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
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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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5
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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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Gauld C, Expert P, Fovet T, Amad A. A network analysis of catatonia symptoms across diagnoses. Prog Neuropsychopharmacol Biol Psychiatry 2024; 134:111082. [PMID: 39002926 DOI: 10.1016/j.pnpbp.2024.111082] [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: 05/08/2024] [Revised: 06/27/2024] [Accepted: 07/08/2024] [Indexed: 07/15/2024]
Abstract
BACKGROUND Catatonia, as a transdiagnostic construct, manifests across various psychiatric and non-psychiatric conditions. Understanding how symptom variations impact the catatonia construct and differ across primary diagnoses (schizophrenia, bipolar disorder, unipolar depression, and neurological/metabolic/immunological condition) is essential to refine diagnostic and therapeutic approaches. This study aims to compare the symptom networks and centrality measures of these diagnoses. METHODS We conducted a network analysis using Bush-Francis Catatonia Rating Scale (BFCRS) data from 118 patients, examining centrality measures and network comparisons across the four primary diagnostic groups. RESULTS In the general catatonia network, the three most central symptoms identified were Excitement (1.462), Perseveration (1.456), and Impulsivity (1.332). While the overall structure of the catatonia networks did not show significant differences between diagnoses in terms of symptom connections and centrality, variations in centrality measures were observed among the different networks. CONCLUSIONS The study reinforces the notion of catatonia as an independent syndrome relatively to psychiatric or non-psychiatric diagnoses. However, the variation in centrality of symptoms across different primary diagnoses provides critical insights that could aid clinicians in tailoring diagnostic and therapeutic strategies. Future research should further explore these relationships and develop more refined approaches to managing catatonia.
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Affiliation(s)
- Christophe Gauld
- Department of Child and Adolescent Psychopathology, CHU de Lyon, F-69000 Lyon, France; Institut des Sciences Cognitives Marc Jeannerod, UMR 5229 CNRS & Université Claude Bernard Lyon 1, F-69000 Lyon, France
| | - Paul Expert
- Global Business School for Health, University College London, London WC1E 6BT, United Kingdom
| | - Thomas Fovet
- Univ. Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, F-59000 Lille, France
| | - Ali Amad
- Univ. Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, F-59000 Lille, France; Department of neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
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7
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Varma MM, Zeng S, Singh L, Holmes EA, Huang J, Chiu MH, Hu X. A systematic review and meta-analysis of experimental methods for modulating intrusive memories following lab-analogue trauma exposure in non-clinical populations. Nat Hum Behav 2024:10.1038/s41562-024-01956-y. [PMID: 39169230 DOI: 10.1038/s41562-024-01956-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 07/15/2024] [Indexed: 08/23/2024]
Abstract
Experiencing trauma leads to intrusive memories (IMs), a hallmark symptom of post-traumatic stress disorder (PTSD), which also occurs transdiagnostically. Understanding why IMs increase or decrease is pivotal in developing interventions to support mental health. In this preregistered meta-analysis (PROSPERO: CRD42021224835), we included 134 articles (131 techniques, 606 effect sizes and 12,074 non-clinical participants) to investigate how experimental techniques alter IM frequency, intrusion-related distress and symptoms arising from lab-analogue trauma exposure. Eligible articles were identified by searching eight databases until 12 December 2023. To test potential publication biases, we employed methods including Egger's test and three-parameter selection models. We employed three-level multilevel modelling and meta-regressions to examine whether and how experimental techniques would modulate IM frequency and associated outcomes. Results showed that techniques (behavioural, pharmacological, neuromodulation) significantly reduced intrusion frequency (g = 0.16, 95% confidence interval [0.09, 0.23]). Notably, techniques aimed to reduce IMs also ameliorated intrusion-related distress and symptoms, while techniques that increased IMs exacerbated these related outcomes, thus highlighting IM's centrality in PTSD-like symptoms. Techniques tapping into mental imagery processing (for example, trauma reminder followed by playing Tetris) reduced intrusions when administered immediately after, or at a delayed time after trauma. Although our meta-analysis is limited to symptoms induced by lab-analogue trauma exposure, some lab-based results have now generalized to real-world trauma and IMs, highlighting the promising utility of lab-analogue trauma paradigms for intervention development.
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Affiliation(s)
- Mohith M Varma
- Department of Management, Marketing, and Information Systems, Hong Kong Baptist University, Hong Kong SAR, China
- Department of Psychology, The University of Hong Kong, Hong Kong SAR, China
| | - Shengzi Zeng
- Department of Psychology, The University of Hong Kong, Hong Kong SAR, China
- The State Key Lab of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR, China
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Laura Singh
- Department of Psychology, Uppsala University, Uppsala, Sweden
- Swedish Collegium for Advanced Study, Uppsala, Sweden
| | - Emily A Holmes
- Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - Jingyun Huang
- School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China
| | - Man Hey Chiu
- Department of Psychology, The University of Hong Kong, Hong Kong SAR, China
| | - Xiaoqing Hu
- Department of Psychology, The University of Hong Kong, Hong Kong SAR, China.
- The State Key Lab of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR, China.
- HKU-Shenzhen Institute of Research and Innovation, Shenzhen, China.
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Lv Y, Xu Q, Tang Q, Tao Y, Zhang C, Liu X. The unique role of meaning in life in the relationships between trait awe, subjective well-being, and prosocial tendency: A network analysis. Psych J 2024; 13:575-587. [PMID: 38363640 DOI: 10.1002/pchj.733] [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: 07/18/2023] [Accepted: 12/26/2023] [Indexed: 02/18/2024]
Abstract
Although individuals with higher trait awe (the tendency to experience awe) are known to be happier and more prosocial, there is limited understanding of the mechanisms underlying these complex relationships. This study uses network analysis to explore dimension-level relationships between trait awe, meaning in life, subjective well-being (SWB), and prosocial tendency in a joint network and to explore the bridging role of meaning in life in the network. A total of 538 adults (53.2% females; Mage = 19.86 ± 1.51) completed the survey. The network revealed unique and intricate connections between the dimensions of trait awe, meaning in life (i.e., the presence of and the search for meaning, abbreviated as POM and SFM), subjective happiness and life satisfaction (SWB), and prosocial tendency (i.e., willingness to donate money and volunteer time). Trait awe exhibited direct links to subjective happiness, life satisfaction, and prosocial tendency to donate money. Moreover, through POM and SFM, trait awe also exhibited indirect links to each dimension of SWB and prosocial tendency. Within the global network, POM was further identified as acting as a bridge node with the highest bridge strength and closeness, indicating that POM could efficiently transmit influences within the entire network. These findings highlight the distinct contributions of meaning in life to understanding the relationships between trait awe, SWB, and prosocial tendency, and provide valuable insights for improving SWB and fostering prosocial tendencies.
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Affiliation(s)
- Yichao Lv
- Faculty of Psychology, Beijing Normal University, Beijing, China
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Beijing, China
| | - Qian Xu
- School of Psychology, Nanjing Normal University, Nanjing, China
| | - Qihui Tang
- Faculty of Psychology, Beijing Normal University, Beijing, China
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Beijing, China
| | - Yanqiang Tao
- Faculty of Psychology, Beijing Normal University, Beijing, China
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Beijing, China
| | - Chao Zhang
- School of Education Science, Shanxi Normal University, Taiyuan, China
| | - Xiangping Liu
- Faculty of Psychology, Beijing Normal University, Beijing, China
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Beijing, China
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Vera JD, Freichel R, Michelini G, Loo SK, Lenartowicz A. A Network Approach to Understanding the Role of Executive Functioning and Alpha Oscillations in Inattention and Hyperactivity-Impulsivity Symptoms of ADHD. J Atten Disord 2024; 28:1357-1367. [PMID: 38798087 PMCID: PMC11292971 DOI: 10.1177/10870547241253999] [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] [Indexed: 05/29/2024]
Abstract
OBJECTIVE ADHD is a prevalent neurodevelopmental disorder characterized by symptoms of inattention and hyperactivity-impulsivity. Impairments in executive functioning (EF) are central to models of ADHD, while alpha-band spectral power event-related decreases (ERD) have emerged as a putative electroencephalography (EEG) biomarker of EF in ADHD. Little is known about the roles of EF and alpha ERD and their interactions with symptoms of ADHD. METHOD We estimated network models of ADHD symptoms and integrated alpha ERD measures into the symptom network. RESULTS EF emerges as a bridge network node connecting alpha ERD and the hyperactivity/impulsivity and inattention symptoms. We found that EF most closely relates to a subset of symptoms, namely the motoric symptoms, "seat" (difficulty staying seated), and "runs" (running or climbing excessively). CONCLUSIONS EF functions as a bridge node connecting alpha ERD and the ADHD symptom network. Motoric-type symptoms and EF deficits may constitute important nodes in the interplay between behavior/symptoms, cognition, and neurophysiological markers of ADHD.
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Affiliation(s)
| | | | - Giorgia Michelini
- University of California, Los Angeles, USA
- Queen Mary University of London, UK
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Deng J, Shou Y, Wang MC, Allen JL, Gao Y, Hawes DJ. Core features of callous-unemotional traits: a cross-cultural comparison of youth in four countries. Eur Child Adolesc Psychiatry 2024; 33:2681-2693. [PMID: 38180536 DOI: 10.1007/s00787-023-02357-8] [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: 05/29/2023] [Accepted: 12/11/2023] [Indexed: 01/06/2024]
Abstract
With considerable debate concerning the impact of culture on the expression of callous-unemotional (CU) traits, it is unclear whether the core features of CU traits generalize to youth across cultures. This study aimed to examine whether cultural differences are reflected in the core features of CU traits and the associations among these features. Network analysis was employed to identify the core features and to examine the network structure of CU traits operationalized by the Inventory of Callous Unemotional traits (ICU) in four community youth samples from different nations (Australia, N = 190; the UK, N = 437; the USA, N = 330; China, N = 503). The item "Apologizes to people" was identified as a cross-cultural core feature in the ICU network with a greater centrality of this item compared to others in all four samples. In addition, some items were identified as culture-specific core features in the network, differing in their centrality across samples. The network structures of the youth self-report ICU items were moderately similar across samples, while the structures of parent-report items showed substantial differences. These findings have important implications for cross-cultural research on CU traits as well as practical implications for screening and treatment. The core features of ICU appear to be generalizable in youth across cultures, although cultural-specific manifestations should be noted.
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Affiliation(s)
- Jiaxin Deng
- Department of Psychology, Guangzhou University, Guangzhou Higher Education Mega Center Guangzhou, 230 Wai Huan Xi Road, 510006, Guangzhou, People's Republic of China
| | - Yiyun Shou
- Research School of Psychology, The Australian National University, Canberra, Australia
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Lloyd's Register Foundation Institute for the Public Understanding of Risk, National University of Singapore, Singapore, Singapore
| | - Meng-Cheng Wang
- Department of Psychology, Guangzhou University, Guangzhou Higher Education Mega Center Guangzhou, 230 Wai Huan Xi Road, 510006, Guangzhou, People's Republic of China.
| | | | - Yu Gao
- Department of Psychology, Brooklyn College and the Graduate Center of the City University of New York, New York, USA
| | - David J Hawes
- School of Psychology, University of Sydney, Sydney, Australia
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11
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Wen J, Wang W, Liu K, Sun X, Zhou J, Hu H, Liang J, Bi X, Li R, Miao M. The psychological side of menopause: evidence from the comorbidity network of menopausal, anxiety, and depressive symptoms. Menopause 2024:00042192-990000000-00354. [PMID: 39078651 DOI: 10.1097/gme.0000000000002406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/31/2024]
Abstract
OBJECTIVE Numerous studies have uncovered a correlation between menopausal, anxiety, and depressive symptoms. How these symptoms interrelate and influence each other, however, remains unclear. This study aimed to identify the associations between menopausal, anxiety, and depressive symptoms using network analysis. METHODS The participants comprised 423 women (Mage = 49.21 ± 4.01 y; range, 40-60 y) recruited from a menopause clinic at a tertiary hospital in Beijing, China. Demographic characteristics and menopausal, anxiety, and depressive symptoms were obtained through self-report questionnaires. Two networks were established: a partial correlation network and a Bayesian network. RESULTS The menopausal symptom of nervousness exhibited a robust association with anxiety symptoms in both networks. Within the partial correlation network, the depressive symptom of tiredness emerged as a pivotal symptom, facilitating the co-occurrence of menopausal and depressive symptoms. Bayesian network analysis exhibited that the depressive symptom of a loss of interest was related to certain menopausal symptoms through depressive symptoms of tiredness and motor problems, both serving as critical links between menopausal symptoms and depression. Notably, four menopausal symptoms-arthralgia/myalgia, formication, sexual complaints, and urinary tract infection-appeared independent of other menopausal, anxiety, and depressive symptoms. CONCLUSIONS Both psychological (eg, fatigue) and somatic (eg, hot flashes, headaches, and dizziness) menopausal symptoms demonstrate strong associations with depression. In providing optimal support for women's health during menopause, psychological interventions aimed at depression, particularly among those experiencing a loss of interest or pleasure in activities, should complement conventional therapies.
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Affiliation(s)
- Jie Wen
- From the Department of Medical Psychology, School of Health Humanities, Peking University, Beijing, China
| | | | - Kexin Liu
- From the Department of Medical Psychology, School of Health Humanities, Peking University, Beijing, China
| | | | | | | | | | | | | | - Miao Miao
- From the Department of Medical Psychology, School of Health Humanities, Peking University, Beijing, China
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12
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Pan C, Zhang Q, Zhu Y, Kong S, Liu J, Zhang C, Wang F, Zhang X. Module control of network analysis in psychopathology. iScience 2024; 27:110302. [PMID: 39045106 PMCID: PMC11263636 DOI: 10.1016/j.isci.2024.110302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 04/12/2024] [Accepted: 06/14/2024] [Indexed: 07/25/2024] Open
Abstract
The network approach to characterizing psychopathology departs from traditional latent categorical and dimensional approaches. Causal interplay among symptoms contributed to dynamic psychopathology system. Therefore, analyzing the symptom clusters is critical for understanding mental disorders. Furthermore, despite extensive research studying the topological features of symptom networks, the control relationships between symptoms remain largely unclear. Here, we present a novel systematizing concept, module control, to analyze the control principle of the symptom network at a module level. We introduce Module Control Network (MCN) to identify key modules that regulate the network's behavior. By applying our approach to a multivariate psychological dataset, we discover that non-emotional modules, such as sleep-related and stress-related modules, are the primary controlling modules in the symptom network. Our findings indicate that module control can expose central symptom cluster governing psychopathology network, offering novel insights into the underlying mechanisms of mental disorders and individualized approach to psychological interventions.
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Affiliation(s)
- Chunyu Pan
- Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210024, China
- Northeastern University, Shenyang, Liaoning 110169, China
| | - Quan Zhang
- Vanke School of Public Health, Tsinghua University, Beijing 100084, China
- Institute for Healthy China, Tsinghua University, Beijing 100084, China
| | - Yue Zhu
- Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210024, China
- Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu 210024, China
| | - Shengzhou Kong
- Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210024, China
| | - Juan Liu
- Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210024, China
- Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu 210024, China
| | | | - Fei Wang
- Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210024, China
- Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu 210024, China
- Department of Mental Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Xizhe Zhang
- School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 210033, China
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13
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Sun C, Zhu Z, Zhang P, Wang L, Zhang Q, Guo Y, Guo L, Li Y, Wang P, Hu B, Liu M, Duan J, Wang Y, Wang Z, Qin Y. Exploring the interconnections of anxiety, depression, sleep problems and health-promoting lifestyles among Chinese university students: a comprehensive network approach. Front Psychiatry 2024; 15:1402680. [PMID: 39077626 PMCID: PMC11284064 DOI: 10.3389/fpsyt.2024.1402680] [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: 03/18/2024] [Accepted: 06/26/2024] [Indexed: 07/31/2024] Open
Abstract
Background Anxiety, depression, and sleep problems are prevalent comorbid mental disorders among university students. The World Health Organization (WHO) emphasized a mental health promotion objective, recommending the consideration of protective health-promoting factors in strategies aimed at preventing mental disorders. Integrating theoretically significant constructs (such as protective factors) enhances our comprehension of the intricate mechanisms that underpin mental disorders. This study employed network analysis to first identify core and bridge symptoms within comorbid mental disorders and then explore how health-promoting lifestyles (HPLs) were associated with these disorders. The ultimate goal is to offer health promotion recommendations to enhance students' quality of life. Methods A total of 3,896 qualified university students participated in this study. Anxiety, depression, sleep problems, and HPLs were assessed using the GAD-7, PHQ-9, PSQI, and HPLP-II scales. A Gaussian Graphical Model was used to construct the networks. The Network Comparison Test was applied to determine whether the associations between HPLs and comorbid symptoms vary by gender, educational level, family sibling, and mental health status. Results Low energy (PHQ4) had the highest strength centrality, followed by Daytime dysfunction (PSQI7) and Trouble relaxing (GAD4). Five bridge symptoms were identified: Daytime dysfunction (PSQI7), Self-harm even suicide (PHQ9), Sad mood (PHQ2), Low energy (PHQ4), and Feeling afraid (GAD7). Regarding protective HPLs, Physical activity, Spiritual growth, and Stress management generally emerged as the top three central mental health-promoting behaviors. Conclusion Targeting core and bridge symptoms with timely and appropriate interventions can alleviate anxiety, depression, and sleep problems in this population. Moreover, promoting physical activity, fostering spiritual growth, and managing stress are likely to significantly enhance the overall mental health of university students.
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Affiliation(s)
- Changqing Sun
- School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Zhengqi Zhu
- School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Peijia Zhang
- School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Lianke Wang
- School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Qiang Zhang
- School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Yuanli Guo
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Lina Guo
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yang Li
- School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Panpan Wang
- School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Bo Hu
- School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Mengting Liu
- School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Jingyi Duan
- School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Yiwen Wang
- School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Ziqi Wang
- School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Ying Qin
- School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China
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Abdelrahman RM, Ahmed M, Tayim N, Kordbagheri M. Identification of the Core Characteristics of Vulnerable/Hypersensitive Narcissism and its Association with the Dark Triad in a Large International Sample: A Network Analysis Study. Psychiatr Q 2024:10.1007/s11126-024-10082-x. [PMID: 38985386 DOI: 10.1007/s11126-024-10082-x] [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] [Accepted: 06/25/2024] [Indexed: 07/11/2024]
Abstract
The current paper aimed to investigate the network structure and centrality indexes of hypersensitive narcissism using the hypersensitive Narcissism Scale (HSN). Additionally, we aimed to explore its relationships with dark triad personality aspects. A globally diverse sample of "53,981" participants (47.9% non-United States responders) completed the HSN and Dark Triad Dirty Dozen scale (DTD). We estimated the network structure across genders to determine the core characteristics of hypersensitive narcissism. Additionally, bridge and central nodes (characteristics) were identified. All analyses were performed using R-Studio programming software. The network comparison test indicated significant differences in the network structures between males and females (Network-Invariance: 0.0489, P < 0.01; Global Strength Invariance: 0.101, P < 0.01). In the network of HSN for male participants, characteristics with the highest strength centrality were "Highly affected by criticism" (HSN.2, strength = 1.08) and "Self-absorbed in personal pursuits" (HSN.8, strength = 1.28). For female participants, "Self-absorbed in personal pursuits" (HSN.8, strength = 1.32) and "privately annoyed by others' needs" (HSN.10, strength = 1.21) were the highest central characteristics. The assessment of bridge strength indicated that nodes HSN.2 (Highly sensitive to criticism), scoring 0.42, and DTD.1 (Tendency to manipulate for gain, a component of Machiavellianism), scoring 0.428, showed the highest bridge strength values. The current study identified core characteristics of hypersensitive narcissism and its correlation with dark triad personality, revealing gender-specific patterns and bridging symptoms between the two constructs. These findings showed that focusing on these core characteristics may be advantageous in treating individuals exhibiting elevated levels of narcissism.
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Affiliation(s)
- Rasha Mohamed Abdelrahman
- College of Humanities and Sciences, Ajman, UAE
- National Center for Examination and Educational Evaluation (NCEEE), Cairo, Egypt
- College of Humanities and Sciences, Ajman University, UAE & LINP2-2APS, Paris Nanterre University, Paris, France
| | - Marei Ahmed
- College of Humanities and Sciences, Ajman University, UAE & LINP2-2APS, Paris Nanterre University, Paris, France
| | - Natalie Tayim
- Department of Psychology, School of Social Sciences and Humanities, Doha Institute for Graduate Studies, Doha, Qatar
| | - Mohammadreza Kordbagheri
- Department of Statistics, Faculty of Mathematical Sciences, Shahid Beheshti University, Tehran, Iran.
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15
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Snoek A, Edens R, van Ballegooijen W, Dekker J, Beekman ATF, Thomaes K. A network perspective on posttraumatic stress disorder and comorbid borderline personality disorder symptoms. Eur J Psychotraumatol 2024; 15:2367815. [PMID: 38957149 PMCID: PMC11225629 DOI: 10.1080/20008066.2024.2367815] [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] [Accepted: 05/29/2024] [Indexed: 07/04/2024] Open
Abstract
Background: Comorbidity between posttraumatic stress disorder (PTSD) and borderline personality disorder (BPD) is surrounded by diagnostic controversy and although various effective treatments exist, dropout and nonresponse are high.Objective: By estimating the network structure of comorbid PTSD and BPD symptoms, the current study illustrates how the network perspective offers tools to tackle these challenges.Method: The sample comprised of 154 patients with a PTSD diagnosis and BPD symptoms, assessed by clinician-administered interviews. A regularised partial correlation network was estimated using the GLASSO algorithm in R. Central symptoms and bridge symptoms were identified. The reliability and accuracy of network parameters were determined through bootstrapping analyses.Results: PTSD and BPD symptoms largely clustered into separate communities. Intrusive memories, physiological cue reactivity and loss of interest were the most central symptoms, whereas amnesia and suicidal behaviour were least central.Conclusions: Present findings suggest that PTSD and BPD are two distinct, albeit weakly connected disorders. Treatment of the most central symptoms could lead to an overall deactivation of the network, while isolated symptoms would need more specific attention during therapy. Further experimental, longitudinal research is needed to confirm these hypotheses.Trial registration: ClinicalTrials.gov identifier: NCT03833453.
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Affiliation(s)
- Aishah Snoek
- Arkin, Sinai Centrum, Amstelveen, The Netherlands
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Roos Edens
- Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Wouter van Ballegooijen
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
- Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Jack Dekker
- Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Arkin Mental Health Care, Amsterdam, the Netherlands
| | - Aartjan TF Beekman
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
- Department of Psychiatry, GGZinGeest, Amsterdam, the Netherlands
| | - Kathleen Thomaes
- Arkin, Sinai Centrum, Amstelveen, The Netherlands
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
- Arkin Mental Health Care, Amsterdam, the Netherlands
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16
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Chen MY, Bai W, Wu XD, Sha S, Su Z, Cheung T, Pang Y, Ng CH, Zhang Q, Xiang YT. The network structures of depressive and insomnia symptoms among cancer patients using propensity score matching: Findings from the Health and Retirement Study (HRS). J Affect Disord 2024; 356:450-458. [PMID: 38608763 DOI: 10.1016/j.jad.2024.04.035] [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: 12/04/2023] [Revised: 03/18/2024] [Accepted: 04/08/2024] [Indexed: 04/14/2024]
Abstract
OBJECTIVE Both depression and insomnia are found to be more prevalent in cancer patients compared to the general population. This study compared the network structures of depression and insomnia among cancer patients versus cancer-free participants (controls hereafter). METHOD The 8-item Center for Epidemiological Studies Depression Scale (CESD-8) and the 4-item Jenkins Sleep Scale (JSS-4) were used to measure depressive and insomnia symptoms, respectively. Propensity score matching (PSM) was used to construct the control group using data from the Health and Retirement Study (HRS). In total, a sample consisting of 2216 cancer patients and 2216 controls was constructed. Central (influential) and bridge symptoms were estimated using the expected influence (EI) and bridge expected influence (bridge EI), respectively. Network stability was assessed using the case-dropping bootstrap method. RESULT The prevalence of depression (CESD-8 total score ≥ 4) in cancer patients was significantly higher compared to the control group (28.56 % vs. 24.73 %; P = 0.004). Cancer patients also had more severe depressive symptoms relative to controls, but there was no significant group difference for insomnia symptoms. The network structures of depressive and insomnia symptoms were comparable between cancer patients and controls. "Felt sadness" (EI: 6.866 in cancer patients; EI: 5.861 in controls), "Felt unhappy" (EI: 6.371 in cancer patients; EI: 5.720 in controls) and "Felt depressed" (EI: 6.003 in cancer patients; EI: 5.880 in controls) emerged as the key central symptoms, and "Felt tired in morning" (bridge EI: 1.870 in cancer patients; EI: 1.266 in controls) and "Everything was an effort" (bridge EI: 1.046 in cancer patients; EI: 0.921 in controls) were the key bridge symptoms across both groups. CONCLUSION Although cancer patients had more frequent and severe depressive symptoms compared to controls, no significant difference was observed in the network structure or strength of the depressive and insomnia symptoms. Consequently, psychosocial interventions for treating depression and insomnia in the general population could be equally applicable for cancer patients who experience depression and insomnia.
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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
| | - Wei Bai
- 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; Department of Epidemiology and Biostatistics, School of Public Health, Jilin University
| | - Xiao-Dan Wu
- 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; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Sha Sha
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Zhaohui Su
- School of Public Health, Southeast University, Nanjing, China
| | - Teris Cheung
- School of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Ying Pang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Psycho-Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Chee H Ng
- Department of Psychiatry, The Melbourne Clinic and St Vincent's Hospital, University of Melbourne, Richmond, Victoria, Australia.
| | - Qinge Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China; Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital; Advanced Innovation Center for Human Brain Protection, 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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Schulze A, Hughes N, Lis S, Krause-Utz A. Dissociative Experiences, Borderline Personality Disorder Features, and Childhood Trauma: Generating Hypotheses from Data-Driven Network Analysis in an International Sample. J Trauma Dissociation 2024; 25:436-455. [PMID: 38497592 DOI: 10.1080/15299732.2024.2323974] [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: 05/30/2023] [Accepted: 12/22/2023] [Indexed: 03/19/2024]
Abstract
Dissociation is a multifaceted phenomenon that occurs in various mental disorders, including borderline personality disorder (BPD), but also in non-clinical populations. Severity of childhood trauma (abuse, neglect) plays an important role in the development of dissociation and BPD. However, the complex interplay of different dissociative symptoms, BPD features, and self-reported childhood trauma experiences is not yet fully understood. Graph-theoretical network analysis can help to better understand such multivariate interrelations. Objective: This study aimed to investigate associations between self-reported dissociation, BPD features, and childhood trauma experiences using a graph-theoretical approach. Data was collected online via international mental health platforms and research sites. N = 921 individuals (77.4% female) were included; 40% reported pathological levels of dissociation. Variables were assessed with established psychometric scales (Dissociative Experiences Scale; Personality Assessment Inventory Borderline Features Scale; Childhood Trauma Questionnaire) and analyzed within a partial correlation network. Positive bivariate correlations between all variables were found. When accounting for their mutual influence on each other, dissociation was predominantly connected to BPD features with effect sizes between rp = .028 and rp = .126, while still showing a slight unique relationship with physical neglect (rp = .044). Findings suggest close associations between dissociative experiences and BPD features. While childhood trauma plays an important role in the development of dissociation and BPD, its recall may not fully explain their current co-occurrence. Prospective studies are needed to shed more light on causal pathways to better understand which factors contribute to dissociation and its link to BPD (features).
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Affiliation(s)
- Anna Schulze
- Department of Clinical Psychology, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Natasha Hughes
- Institute of Clinical Psychology, Leiden University, Leiden, The Netherlands
| | - Stefanie Lis
- Department of Clinical Psychology, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Annegret Krause-Utz
- Institute of Clinical Psychology, Leiden University, Leiden, The Netherlands
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Lu B, Fang Y, Cai J, Chen Z. Psychometric Evaluation of the Affective Reactivity Index Among Children and Adolescents in China: A Multi-Method Assessment Approach. Assessment 2024; 31:1020-1037. [PMID: 37837333 DOI: 10.1177/10731911231199424] [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] [Indexed: 10/16/2023]
Abstract
The Affective Reactivity Index (ARI) is one of the most studied scales for assessing youth irritability, but little is known about its measurement performance in community populations. This study applied item response theory (IRT), network analysis, and classical test theory (CTT) to examine the psychometric properties of the ARI in a sample of n = 395 community-based children (Mage = 13.44, SD = 2.51) and n = 403 parents. In this sample, the ARI demonstrated good reliability, as well as convergent and concurrent validity. The one-factor structure was supported by both confirmatory factor analysis (CFA) and network analysis. IRT analysis revealed that the ARI effectively distinguished between various levels of irritability within the community population. Network analysis identified "Loses temper easily,""Gets angry frequently," and "Often loses temper" are central aspects of irritability. The findings support the ARI as a brief, reliable, and valid instrument to assess irritability in community children and adolescents.
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Affiliation(s)
- Boqing Lu
- 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
| | - Yuan Fang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Jimin Cai
- 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
| | - Zhiyan Chen
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
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Cusack CE, Ralph-Nearman C, Christian C, Fisher AJ, Levinson CA. Understanding heterogeneity, comorbidity, and variability in depression: Idiographic models and depression outcomes. J Affect Disord 2024; 356:248-256. [PMID: 38608769 DOI: 10.1016/j.jad.2024.04.034] [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: 11/05/2023] [Revised: 03/25/2024] [Accepted: 04/08/2024] [Indexed: 04/14/2024]
Abstract
This study uses time-intensive, item-level assessment to examine individual depressive and co-occurring symptom dynamics. Participants experiencing moderate-severe depression (N = 31) completed ecological momentary assessment (EMA) four times per day for 20 days (total observations = 2480). We estimated idiographic networks using MDD, anxiety, and ED items. ED items were most frequently included in individual networks relative to depression and anxiety items. We built ridge and logistic regression ensembles to explore how idiographic network centrality metrics performed at predicting between-subject depression outcomes (PHQ-9 change score and clinical deterioration, respectively) at 6-months follow-up. For predicting PHQ-9 change score, R2 ranged between 0.13 and 0.28. Models predicting clinical deterioration ranged from no better than chance to 80 % accuracy. This pilot study shows how co-occurring anxiety and ED symptoms may contribute to the maintenance of depressive symptoms. Future work should assess the predictive utility of psychological networks to develop understanding of how idiographic models may inform clinical decisions.
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Affiliation(s)
- Claire E Cusack
- University of Louisville, Department of Psychological & Brain Sciences, United States of America
| | - Christina Ralph-Nearman
- University of Louisville, Department of Psychological & Brain Sciences, United States of America
| | - Caroline Christian
- University of Louisville, Department of Psychological & Brain Sciences, United States of America
| | - Aaron J Fisher
- University of California-Berkeley, Department of Psychology, United States of America
| | - Cheri A Levinson
- University of Louisville, Department of Psychological & Brain Sciences, United States of America.
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20
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Tang H, Zhang Z, Chen H, Chen H, Chen X, Li S, Ye Y, Zhou J. Core items selection and psychometric properties of the adult attention-deficit hyperactivity disorder self-report scale-chinese short version (ASRS-CSV). Asian J Psychiatr 2024; 99:104136. [PMID: 38986316 DOI: 10.1016/j.ajp.2024.104136] [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: 03/12/2024] [Revised: 05/16/2024] [Accepted: 05/25/2024] [Indexed: 07/12/2024]
Abstract
OBJECTIVE This study aimed to develop and validate the Chinese Short Version of the Adult ADHD Self-Report Scale (ASRS-CSV), addressing the need for culturally appropriate diagnostic tools for Attention-Deficit Hyperactivity Disorder (ADHD) in the Chinese adult population. METHODS Utilizing a combination of intergroup difference analysis, factor analysis, and network analysis, we identified core ADHD symptoms pertinent to the Chinese cultural context. The study involved two samples: a vocational and technical school sample (N=1144) and an internet sample (N=1654), comprising adults aged 16-25 years. Reliability, validity, and diagnostic efficacy of the ASRS-CSV were assessed through psychometric testing. RESULTS The ASRS-CSV demonstrated high internal consistency (Cronbach's alpha > 0.9) and robust convergent validity (AVE > 0.7). The scale's diagnostic cutoff points were optimized, revealing high sensitivity and specificity for ADHD screening. Cross-cultural analysis highlighted differences in core ADHD symptoms between Chinese and Western populations, underscoring the scale's cultural sensitivity. CONCLUSION The ASRS-CSV is a reliable, valid, and efficient tool for screening ADHD in Chinese adults, reflecting the socio-cultural nuances of ADHD symptomatology. Its development marks a significant advancement in the field of psychiatry, offering a tailored approach for ADHD assessment in China and contributing to the global discourse on cross-cultural psychiatric diagnosis.
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Affiliation(s)
- Huajia Tang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
| | - Zheng Zhang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
| | - Honghui Chen
- Medical Psychological Center, the Second Xiangya Hospital of Central South University, Medical Psychological Institute, Central South University, National Clinical Research Center for Mental Disorders, Changsha, Hunan, China
| | - Hui Chen
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China
| | - Xianliang Chen
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China
| | - Sihong Li
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China
| | - Yanyue Ye
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China
| | - Jiansong Zhou
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
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21
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Deflorin HM, Söker MS, Bauer S, Moessner M. Evaluation of symptom network density as a predictor of treatment outcome of inpatient psychotherapy. Psychother Res 2024:1-9. [PMID: 38924474 DOI: 10.1080/10503307.2024.2365235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Accepted: 05/31/2024] [Indexed: 06/28/2024] Open
Abstract
OBJECTIVE The network approach implies that the persistence of a mental disorder is rooted in a dense causal interconnection of symptoms. This study attempts to replicate and generalize previous findings in support of the assumption that higher density predicts poorer outcomes. The study examines the predictive value of network density at admission for recovery after inpatient treatment. METHOD N = 1375 adult patients with various forms of mental illness were classified as recovered (28%) versus not recovered (72%) after inpatient treatment. Recovery was defined as clinically significant improvement in impairment from admission to discharge. Networks of transdiagnostic symptoms at the time of admission were estimated. Network density, measured by global strength d, was compared between the recovered and not recovered groups using a permutation test. RESULTS Global strength at the time of admission tended to be higher in the No-Recovery group (d = 10.83) than the Recovery group (d = 7.53) but the association was not significant (p = .12). Similar results were found after controlling for group size and symptom severity. CONCLUSION The predictive value of network density for treatment outcomes remains unclear. There might be structural differences between the groups that the current measure of network density does not adequately represent.
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Affiliation(s)
- Hanna M Deflorin
- Center for Psychotherapy Research, University Hospital Heidelberg, Heidelberg, Germany
| | - Mara S Söker
- Center for Psychotherapy Research, University Hospital Heidelberg, Heidelberg, Germany
| | - Stephanie Bauer
- Center for Psychotherapy Research, University Hospital Heidelberg, Heidelberg, Germany
- German Center for Mental Health (DZPG), partner site Mannheim/Heidelberg/Ulm, Germany
- Institute of Psychology, Heidelberg University, Heidelberg, Germany
| | - Markus Moessner
- Center for Psychotherapy Research, University Hospital Heidelberg, Heidelberg, Germany
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Vierl L, Wülfing P, Juen F, Hörz-Sagstetter S, Spitzer C, Benecke C. Unravelling inter-relations within and between psychodynamic constructs and psychopathology using network analysis. Personal Ment Health 2024. [PMID: 38886928 DOI: 10.1002/pmh.1628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 04/26/2024] [Accepted: 05/29/2024] [Indexed: 06/20/2024]
Abstract
Psychodynamic constructs and psychopathology are closely inter-related, but more detailed insight is needed. We investigated these complex inter-relations using network analysis. A Gaussian graphical model in a sample of N = 2232 psychotherapeutic inpatients was estimated. Self-administered questionnaires to assess interpersonal relations (Inventory of Interpersonal Problems-32), psychodynamic conflicts (Operationalized Psychodynamic Diagnosis-Conflict Questionnaire), personality functioning (Operationalized Psychodynamic Diagnosis-Structure Questionnaire-Short Form, Inventory of Personality Organization-Short Form), and psychopathology (Brief Symptom Inventory) were utilized. We investigated the network structure, identified the most inter-related psychodynamic constructs and the psychodynamic constructs with the strongest inter-relations to psychopathology, and explored the clustering of all included constructs. Active and passive conflict processing modes were negatively inter-related in most conflicts. Passive conflict processing modes were more strongly related to psychopathology than active ones in all conflicts, apart from the care versus autarky conflict. Identity diffusion shared the strongest inter-relations within psychodynamic constructs. The psychodynamic constructs that were most strongly related to psychopathology were impairments in self-perception and the passive self-worth conflict. Psychopathology and psychodynamic constructs formed distinct clusters. Our results emphasize the relevance of personality functioning within psychodynamic constructs and in relation to psychopathology.
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Affiliation(s)
- Larissa Vierl
- Akademie für Psychoanalyse und Psychotherapie München e.V., Munich, Germany
- Department of Psychology, University of Kassel, Kassel, Germany
| | - Philipp Wülfing
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center Rostock, Rostock, Germany
| | - Florian Juen
- Akademie für Psychoanalyse und Psychotherapie München e.V., Munich, Germany
- Department of Psychology, University of the Bundeswehr, Munich, Germany
| | - Susanne Hörz-Sagstetter
- Akademie für Psychoanalyse und Psychotherapie München e.V., Munich, Germany
- Department of Clinical Psychology and Psychotherapy, Psychologische Hochschule Berlin, Berlin, Germany
| | - Carsten Spitzer
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center Rostock, Rostock, Germany
| | - Cord Benecke
- Department of Psychology, University of Kassel, Kassel, Germany
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Jing Z, Ding F. Interaction between anxiety symptoms and decreased meaning in life: One possible pathway linking childhood trauma and depression- evidence from the network analysis. J Affect Disord 2024; 355:440-449. [PMID: 38580034 DOI: 10.1016/j.jad.2024.04.009] [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: 01/24/2024] [Revised: 03/26/2024] [Accepted: 04/01/2024] [Indexed: 04/07/2024]
Abstract
BACKGROUND Robust evidence suggests that individuals exposed to childhood trauma are more vulnerable to suffering from later depression. However, the pathway connecting the experience of childhood trauma and depression remains unclear. PARTICIPANTS AND SETTINGS A total of 3663 participants from six colleges in China completed the Childhood Trauma Questionnaire-Short Form, Patient Health Questionnaire-9, Generalized Anxiety Disorder Scale-7, and Multidimensional Existential Meaning Scale. Among all participants, 3115 (Mage = 19.20, SDage = 1.38, males = 1384) participants met the selective standard of suffering from childhood trauma and were divided into the traumatized depressed group (the DT group) (n = 1432, Mage = 19.26, males = 700) and traumatized non-depressed group (the UDT group) (n = 1683, Mage = 19.15, males = 684). METHODS In the present study, we examined the comorbidity of anxiety and the facets of meaning in the life network model. We then calculated the bridge symptoms and compared the networks of the DT group and the UDT group. RESULTS The results of the t-test showed that the DT group scored significantly higher on all symptoms of anxiety and significantly lower on all dimensions of meaning in life compared to the UDT group. Meanwhile, the strongest bridge exists between "Mattering" and "Restlessness" in the symptom network of the DT group, while there is no bridge in the symptom network of the UDT group. The result of NCT indicates that the global strength and the EI value of "Mattering" are significantly higher in the symptom network of the DT group than in the UDT group. CONCLUSION Intervention targeting improving the self-esteem of individuals suffering from childhood trauma may help to alleviate their depression and anxiety symptoms.
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Affiliation(s)
- Zhi Jing
- Department of Psychology, College of Teacher Education, Ningxia University, Yinchuan, 750021, China; Department of Mental Health Education, Office of Student Affairs, Ordos Institute of Technology, Ordos, 017000, China.
| | - Fengqin Ding
- Department of Psychology, College of Teacher Education, Ningxia University, Yinchuan, 750021, China.
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Oliva V, Roberto N, Andreo-Jover J, Bobes T, Canal Rivero M, Cebriá A, Crespo-Facorro B, de la Torre-Luque A, Díaz-Marsá M, Elices M, Fernández-Rodrigues V, Gonzalez-Pinto A, Palao Tarrero A, Pérez-Diez I, Rodríguez-Vega B, Ruiz-Veguilla M, Saiz PA, Seijo-Zazo E, Toll-Privat A, McIntyre RS, Vieta E, Grande I, Pérez-Solà V. Anxious and depressive symptoms and health-related quality of life in a cohort of people who recently attempted suicide: A network analysis. J Affect Disord 2024; 355:210-219. [PMID: 38548208 DOI: 10.1016/j.jad.2024.03.109] [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: 08/02/2023] [Revised: 03/22/2024] [Accepted: 03/23/2024] [Indexed: 04/04/2024]
Abstract
BACKGROUND Suicide is an international health concern with immeasurable impact from the perspective of human and social suffering. Prior suicide attempts, anxious and depressive symptoms, and relatively lower health-related quality of life (HRQoL) are among the most replicated risk factors for suicide. Our goal was to visualize the distribution of these features and their interconnections with use of a network analysis approach in individuals who recently attempted suicide. METHODS Individuals with a recent suicide attempt were recruited from nine University Hospitals across Spain as part of the SURVIVE cohort study. Anxious and depressive symptoms, and perceived HRQoL were included in the network analysis. Network structures were estimated with the EBICglasso model. Centrality measures and bridge symptoms connecting communities were explored. Subnetworks comparing younger and older individuals, and women and men were analyzed. RESULTS A total of 1106 individuals with a recent suicide attempt were included. Depressed mood was the symptom with the greatest influence in the overall network, followed by anxiety symptoms such as feeling nervous, worrying, restless, and having difficulties to relax. Perceived general health was associated with increased suicidal ideation in the whole sample. Older people showed a specific connection between perceived general health and depressed mood. LIMITATIONS The cross-sectional design does not allow determination of established causality. CONCLUSIONS Depressed mood was the core network's symptom and, therefore, an important target in the management and prevention of suicide. HRQoL had more influence on the network of older populations, in which it should be a primary focus.
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Affiliation(s)
- Vincenzo Oliva
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències, Universitat de Barcelona (UB), c. Casanova, 143, 08036 Barcelona, Spain; Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, c. Villarroel, 170, 08036 Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), c. Villarroel, 170, 08036 Barcelona, Spain; Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Natalia Roberto
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències, Universitat de Barcelona (UB), c. Casanova, 143, 08036 Barcelona, Spain; Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, c. Villarroel, 170, 08036 Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), c. Villarroel, 170, 08036 Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Jorge Andreo-Jover
- Hospital La Paz Institute for Health Research (IdiPAZ), Madrid 2, Spain; Department of Psychiatry, Universidad Autónoma de Madrid (UAM), Madrid, Spain
| | - Teresa Bobes
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Psychiatry, University of Oviedo, Oviedo, Spain; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Spain; Instituto de Neurociencias del Principado de Asturias (INEUROPA), Spain; Mental Health Services of the Principality of Asturias (SESPA), Oviedo, Spain
| | - Manuel Canal Rivero
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Hospital Virgen del Rocio de Sevilla, Spain; IBIS, Universidad de Sevilla, Spain
| | - Anabel Cebriá
- Mental Health Department, Parc Taulí Hospital Universitari, Neuroscience and Mental Health Research Area, Institut d'Investigació I Innovació ParcTaulí (I3PT), Sabadell, Spain
| | - Benedicto Crespo-Facorro
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Hospital Virgen del Rocio de Sevilla, Spain; IBIS, Universidad de Sevilla, Spain
| | - Alejandro de la Torre-Luque
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Universidad Complutense de Madrid, Madrid, Spain
| | - Marina Díaz-Marsá
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Universidad Complutense de Madrid, Madrid, Spain; Hospital Clínico San Carlos, Madrid, Spain
| | - Matilde Elices
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Institut de Neuropsiquiatria i Addicions, Hospital del Mar, Barcelona, Spain; Department of Psychiatry and Forensic Medicine, Autonomous University of Barcelona, Barcelona, Spain; Hospital del Mar Medical Research Institute, IMIM, Barcelona, Spain
| | | | - Ana Gonzalez-Pinto
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Hospital Universitario Araba-Santiago, Instituto de Investigación Sanitaria Bioaraba, Universidad del País Vasco, Spain
| | - Angela Palao Tarrero
- Hospital La Paz Institute for Health Research (IdiPAZ), Madrid 2, Spain; Department of Psychiatry, Universidad Autónoma de Madrid (UAM), Madrid, Spain
| | - Iván Pérez-Diez
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Psychiatry, Universidad Autónoma de Madrid (UAM), Madrid, Spain
| | - Beatriz Rodríguez-Vega
- Hospital La Paz Institute for Health Research (IdiPAZ), Madrid 2, Spain; Department of Psychiatry, Universidad Autónoma de Madrid (UAM), Madrid, Spain
| | - Miguel Ruiz-Veguilla
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Hospital Virgen del Rocio de Sevilla, Spain; IBIS, Universidad de Sevilla, Spain
| | - Pilar A Saiz
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Psychiatry, University of Oviedo, Oviedo, Spain; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Spain; Instituto de Neurociencias del Principado de Asturias (INEUROPA), Spain; Mental Health Services of the Principality of Asturias (SESPA), Oviedo, Spain
| | - Elisa Seijo-Zazo
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Psychiatry, University of Oviedo, Oviedo, Spain; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Spain; Instituto de Neurociencias del Principado de Asturias (INEUROPA), Spain; Mental Health Services of the Principality of Asturias (SESPA), Oviedo, Spain
| | - Alba Toll-Privat
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Institut de Neuropsiquiatria i Addicions, Hospital del Mar, Barcelona, Spain; Department of Psychiatry and Forensic Medicine, Autonomous University of Barcelona, Barcelona, Spain; Hospital del Mar Medical Research Institute, IMIM, Barcelona, Spain
| | - Roger S McIntyre
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON M5T 2S8, Canada; Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON M5S 1A8, Canada; Brain and Cognition Discovery Foundation, Toronto, ON M5S 1M2, Canada; Department of Psychiatry, University of Toronto, Toronto, ON M5T 1R8, Canada
| | - Eduard Vieta
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències, Universitat de Barcelona (UB), c. Casanova, 143, 08036 Barcelona, Spain; Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, c. Villarroel, 170, 08036 Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), c. Villarroel, 170, 08036 Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.
| | - Iria Grande
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències, Universitat de Barcelona (UB), c. Casanova, 143, 08036 Barcelona, Spain; Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, c. Villarroel, 170, 08036 Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), c. Villarroel, 170, 08036 Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.
| | - Víctor Pérez-Solà
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Psychiatry, Universitat Autònoma de Barcelona, Barcelona, Spain; Institut Hospital del Mar d'Investigacions Mèdiques, (IMIM), Parc de Salut Mar, Barcelona, Spain
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Iovoli F, Hall M, Nenadic I, Straube B, Alexander N, Jamalabadi H, Jansen A, Stein F, Brosch K, Thomas-Odenthal F, Usemann P, Teutenberg L, Wroblewski A, Pfarr J, Thiel K, Flinkenflügel K, Meinert S, Grotegerd D, Hahn T, Goltermann J, Gruber M, Repple J, Enneking V, Winter A, Dannlowski U, Kircher T, Rubel JA. Exploring the complex interrelation between depressive symptoms, risk, and protective factors: A comprehensive network approach. J Affect Disord 2024; 355:12-21. [PMID: 38548192 DOI: 10.1016/j.jad.2024.03.119] [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: 09/28/2023] [Revised: 02/19/2024] [Accepted: 03/23/2024] [Indexed: 04/22/2024]
Abstract
BACKGROUND Depressive symptoms seem to be interrelated in a complex and self-reinforcing way. To gain a better understanding of this complexity, the inclusion of theoretically relevant constructs (such as risk and protective factors) offers a comprehensive view into the complex mechanisms underlying depression. METHODS Cross-sectional data from individuals diagnosed with a major depressive disorder (N = 986) and healthy controls (N = 1049) were analyzed. Participants self-reported their depressive symptoms, as well as several risk factors and protective factors. Regularized partial correlation networks were estimated for each group and compared using a network comparison test. RESULTS Symptoms of depression were more strongly connected in the network of depressed patients than in healthy controls. Among the risk factors, perceived stress, the experience of negative life events, emotional neglect, and emotional abuse were the most centrally embedded in both networks. However, the centrality of risk factors did not significantly differ between the two groups. Among the protective factors, social support, personal competence, and acceptance were the most central in both networks, where the latter was significantly more strongly associated with the symptom of self-hate in depressed patients. CONCLUSION The network analysis revealed that key symptoms of depression were more strongly connected for depressed patients than for healthy controls, and that risk and protective factors play an important role, particularly perceived stress in both groups and an accepting attitude for depressed patients. However, the purpose of this study is hypothesis generating and assisting in the potential selection of non-symptom nodes for future research.
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Gauld C, Hartley S, Micoulaud-Franchi JA, Royant-Parola S. Sleep Health Analysis Through Sleep Symptoms in 35,808 Individuals Across Age and Sex Differences: Comparative Symptom Network Study. JMIR Public Health Surveill 2024; 10:e51585. [PMID: 38861716 PMCID: PMC11200043 DOI: 10.2196/51585] [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: 08/04/2023] [Revised: 11/28/2023] [Accepted: 05/14/2024] [Indexed: 06/13/2024] Open
Abstract
BACKGROUND Sleep health is a multidimensional construct that includes objective and subjective parameters and is influenced by individual sleep-related behaviors and sleep disorders. Symptom network analysis allows modeling of the interactions between variables, enabling both the visualization of relationships between different factors and the identification of the strength of those relationships. Given the known influence of sex and age on sleep health, network analysis can help explore sets of mutually interacting symptoms relative to these demographic variables. OBJECTIVE This study aimed to study the centrality of symptoms and compare age and sex differences regarding sleep health using a symptom network approach in a large French population that feels concerned about their sleep. METHODS Data were extracted from a questionnaire provided by the Réseau Morphée health network. A network analysis was conducted on 39 clinical variables related to sleep disorders and sleep health. After network estimation, statistical analyses consisted of calculating inferences of centrality, robustness (ie, testifying to a sufficient effect size), predictability, and network comparison. Sleep clinical variable centralities within the networks were analyzed by both sex and age using 4 age groups (18-30, 31-45, 46-55, and >55 years), and local symptom-by-symptom correlations determined. RESULTS Data of 35,808 participants were obtained. The mean age was 42.7 (SD 15.7) years, and 24,964 (69.7%) were women. Overall, there were no significant differences in the structure of the symptom networks between sexes or age groups. The most central symptoms across all groups were nonrestorative sleep and excessive daytime sleepiness. In the youngest group, additional central symptoms were chronic circadian misalignment and chronic sleep deprivation (related to sleep behaviors), particularly among women. In the oldest group, leg sensory discomfort and breath abnormality complaint were among the top 4 central symptoms. Symptoms of sleep disorders thus became more central with age than sleep behaviors. The high predictability of central nodes in one of the networks underlined its importance in influencing other nodes. CONCLUSIONS The absence of structural difference between networks is an important finding, given the known differences in sleep between sexes and across age groups. These similarities suggest comparable interactions between clinical sleep variables across sexes and age groups and highlight the implication of common sleep and wake neural circuits and circadian rhythms in understanding sleep health. More precisely, nonrestorative sleep and excessive daytime sleepiness are central symptoms in all groups. The behavioral component is particularly central in young people and women. Sleep-related respiratory and motor symptoms are prominent in older people. These results underscore the importance of comprehensive sleep promotion and screening strategies tailored to sex and age to impact sleep health.
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Affiliation(s)
| | - Sarah Hartley
- Sleep Center, APHP Hôpital Raymond Poincaré, Université de Versailles Saint-Quentin en Yvelines, Garches, France
- Réseau Morphée, Garches, France
| | - Jean-Arthur Micoulaud-Franchi
- Services of Functional Exploration of the Nervous System, University Sleep Clinic, University Hospital of Bordeaux, Bordeaux, France
- Unité Sommeil, Addiction, Neuropsychiatrie, Centre national de la recherche scientifique Unité Mixte de Recherche-6033, Bordeaux, France
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27
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Qin R, Mao C, Li G, Zhao D, Kong L, Li P. Network structure of complex interactions of premenstrual syndrome and influencing factors in young adult women. J Affect Disord 2024; 354:199-205. [PMID: 38484889 DOI: 10.1016/j.jad.2024.03.030] [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: 08/01/2023] [Revised: 03/02/2024] [Accepted: 03/09/2024] [Indexed: 03/21/2024]
Abstract
BACKGROUND In the transition phase from adolescence to adulthood, premenstrual syndrome (PMS) occurs more commonly, with a variety of symptoms. The occurrence of PMS may be the result of a combination of demographic, physiological, psychological and sociological factors. This study aimed to identify the central symptoms of PMS, and explored the complex influencing factors especially the one-to-one inter-relationships factors with specific symptoms. METHOD This is a cross-sectional study conducted in mainland China. 3458 young adult women were assessed. Using the Premenstrual Syndrome Scale (PSS) to assess the PMS, and PSS score was over 6 divided into PMS group, and vice versa. Influencing factors were assessed by a set of self-reported questionnaire. Network analysis was used to examined the interplay of PMS, whilst also considering the influencing factors of PMS. RESULTS In summary, 1479 participants were in PMS group. Anxiety had the highest strength centrality (1.12/1.09), shown higher centrality in the both network. Swelling of the hands or feet also shown higher strength centrality (0.89) in PMS group. PMS is associated with a higher history of dysmenorrhea, and neurotic personality. Neurotic personality - depressed mood/nervousness (0.27/0.23), history of dysmenorrhea - abdominal distension (0.21), had significantly higher weight than other edges in PMS group. CONCLUSION Anxiety was the most central symptom in the network, and was closely associated with other symptoms like depressed mood, which provided additional evidence for the centrality of emotional features in PMS. Moreover, the influencing factors of PMS combined demographic, physiological, psychological, and sociological factors. According to the central symptoms and factors affecting the specific PMS symptoms in young adult women, targeted intervention is helpful to prevent and alleviate PMS. LIMITATION Cross-sectional design cannot infer the directionality of the associations between variables. All data is self-reported with recall bias and the edge weights across the constructs of influencing factors and PMS were fairly small.
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Affiliation(s)
- Rui Qin
- School of Nursing and Rehabilitation, Shandong University, Jinan, Shandong, China
| | - Cui Mao
- Department of Science and Technology Management, Shandong University, Jinan, Shandong, China
| | - Guopeng Li
- School of Nursing and Rehabilitation, Shandong University, Jinan, Shandong, China
| | - Di Zhao
- School of Nursing and Rehabilitation, Shandong University, Jinan, Shandong, China
| | - Linghua Kong
- School of Nursing and Rehabilitation, Shandong University, Jinan, Shandong, China
| | - Ping Li
- School of Nursing and Rehabilitation, Shandong University, Jinan, Shandong, China.
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28
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Andrews JL, Astle DE, Jones JS, Blakemore SJ. Mapping the role of sexuality in adolescent mental health and substance use. ROYAL SOCIETY OPEN SCIENCE 2024; 11:230955. [PMID: 39092144 PMCID: PMC11293798 DOI: 10.1098/rsos.230955] [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: 07/04/2023] [Revised: 03/12/2024] [Accepted: 05/01/2024] [Indexed: 08/04/2024]
Abstract
Individuals who belong to a sexual minority are at greater risk of adverse health and social outcomes. These effects are observed during adolescence when many mental health problems, such as depression, first emerge. Here, we used a network analytic approach to better understand the role that sexual minority status plays in the association between depression, interpersonal difficulties and substance use in a large sample of mid-adolescents. In doing so, we used data from 8017 fourteen year olds from the UK's Millennium Cohort Study, of which 490 self-identified as belonging to a sexual minority. We found that sexual minority status was highly central in the network and connected to multiple adverse outcomes, sometimes directly and sometimes indirectly. The largest single association was between sexual minority status and depression, and this link mediated multiple negative associations with being in a sexual minority. The shortest path to drinking, poor social support and closeness with parents and victimization occurred via depression. The shortest path to smoking and drug use occurred via conduct problems. We also identified three distinct profiles of adverse outcomes among those belonging to a sexual minority, highlighting the heterogeneous nature of this group.
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Affiliation(s)
- Jack L. Andrews
- Department of Experimental Psychology, University of Oxford, Oxford, UK
- University College, University of Oxford, Oxford, UK
| | - Duncan E. Astle
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Jonathan S. Jones
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
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Smith JA, Zhang J, Urusov A, Colucci L, Sloss I, Eckert L, Price‐Cameron M, Browne DT. Exploring networks of complex developmental trauma symptomatology among children and adolescents involved in child welfare. JCPP ADVANCES 2024; 4:e12224. [PMID: 38827977 PMCID: PMC11143960 DOI: 10.1002/jcv2.12224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 01/15/2024] [Indexed: 06/05/2024] Open
Abstract
Background Clinical presentations of child and adolescent psychopathology can vary systematically for boys and girls. While network analysis is increasingly being applied to explore psychopathology in adults, there is a dearth of network studies considering differences in symptoms for boys and girls, particularly in developmental trauma-related symptomatology. Methods This study involves rural children (n = 375, 39.47% girls) and adolescents (n = 291, 51.20% girls) involved with child protection services in Ontario, Canada. Caregivers completed the Assessment Checklist for Children or Adolescents within the first 6 months of care. Psychometric network analyses were conducted using subscales for boys and girls. Differences were examined via network comparison permutation tests, moderated network models, and independent t-tests. Results Attachment-related interpersonal difficulties were the most central nodes in the child and adolescent networks for both boys and girls. Emotional dysregulation also had high strength centrality for adolescents. While network comparison tests found the overall network structures and global network strength to be invariant between boys and girls for children and adolescents, moderated network models and independent t-tests revealed several differences with regards to the expression of specific symptoms. Among children, girls exhibited more indiscriminate and pseudomature interpersonal behaviors, whereas boys expressed significantly more non-reciprocal interpersonal behaviors and self-injury. Adolescent girls exhibited more behavioral dysregulation and suicide discourse in the moderated network model; t-tests also indicated higher levels of emotional dysregulation, negative self-image, and other items considered clinically important complex trauma symptoms (e.g., distrust of adults, confused belonging). Discussion This study supports evidence of differences in the expression of complex trauma symptomatology for boys and girls. Additionally, girls exhibit more symptoms, in general. Consistent with the transdiagnostic conceptualization of the consequences of developmental trauma, findings demonstrate the primacy of attachment-specific difficulties and emotion dysregulation.
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Affiliation(s)
- Jackson A. Smith
- Department of PsychologyUniversity of WaterlooWaterlooOntarioCanada
- Centre for Mental Health Research and TreatmentUniversity of WaterlooWaterlooOntarioCanada
| | - Jasmine Zhang
- Department of PsychologyUniversity of WaterlooWaterlooOntarioCanada
- Centre for Mental Health Research and TreatmentUniversity of WaterlooWaterlooOntarioCanada
| | - Alexey Urusov
- Department of PsychologyUniversity of WaterlooWaterlooOntarioCanada
- Centre for Mental Health Research and TreatmentUniversity of WaterlooWaterlooOntarioCanada
| | - Laura Colucci
- Department of PsychologyUniversity of WaterlooWaterlooOntarioCanada
- Centre for Mental Health Research and TreatmentUniversity of WaterlooWaterlooOntarioCanada
| | - Imogen Sloss
- Department of PsychologyUniversity of WaterlooWaterlooOntarioCanada
| | - Lillian Eckert
- Department of PsychologyUniversity of WaterlooWaterlooOntarioCanada
| | | | - Dillon T. Browne
- Department of PsychologyUniversity of WaterlooWaterlooOntarioCanada
- Centre for Mental Health Research and TreatmentUniversity of WaterlooWaterlooOntarioCanada
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30
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Ge Y, Zhang M. Interpersonal relationships and suicidal ideation among Chinese youths: A network analysis. J Affect Disord 2024; 354:267-274. [PMID: 38494135 DOI: 10.1016/j.jad.2024.03.062] [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: 06/10/2023] [Revised: 02/27/2024] [Accepted: 03/09/2024] [Indexed: 03/19/2024]
Abstract
BACKGROUND Suicidal ideation is a noteworthy health problem that requires further study in the field of interpersonal relationships. The main scope of relationships include family, teachers, peers, and the Internet. However, few studies have considered the effects of interpersonal interactions. Based on the Interpersonal Theory of Suicide, this study explores the relation between different interpersonal relationships and suicidal ideation. METHODS A network analysis approach was used to test the relationships. Cross-sectional data (N = 1694; 52.1 % boys; Mage = 11.86 years, SD = 1.59) were collected from primary and secondary students in October-November 2022. Participants completed a survey including demographic part and questionnaires: Positive and Negative Suicide Ideation Inventory (PANSI), Interpersonal Needs Questionnaire (INQ), Family Adaptability and Cohesion Evaluation Scale (FACES II), Inventory of Parent and Peer Attachment (IPPA), Student-Teacher Relationship Scale (STRS) and Facebook Intensity Scale (FIS). RESULTS All variables showed a significant correlation in this inferred network. Family, teacher-student, and peer relationships are protective against suicidal ideation. The closeness of the teacher-student relationship showed the highest strength centrality. However, online interpersonal relationship is a risk factor for suicide. Thwarted belongingness and perceived burdensomeness are proximal factors of suicidal ideation that influenced all interpersonal relationships. LIMITATIONS The network analysis as a data-driven and exploratory method may be limited to provide exact cause and effect relationship. CONCLUSIONS This study shows that teacher-student connections may be more important than other relationships of young people. Improper peer and online interpersonal relationship could be risky for suicide. Further studies are needed to examine the role of these relationships elaborately.
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Affiliation(s)
- Yuanjie Ge
- College of Education, Huaibei Normal University, Huaibei, China
| | - Min Zhang
- College of Education, Huaibei Normal University, Huaibei, China.
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31
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Pátková Daňsová P, Chvojka E, Cígler H, Lacinová L. Mild differences in the role of somatic symptoms in depression networks in pregnancy and postpartum: A comparison with women outside peripartum. J Psychiatr Res 2024; 174:165-171. [PMID: 38636153 DOI: 10.1016/j.jpsychires.2024.04.014] [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: 09/20/2023] [Revised: 03/28/2024] [Accepted: 04/03/2024] [Indexed: 04/20/2024]
Abstract
Depression is one of the most prevalent mental ailments in pregnancy. Many authors have discussed the appropriateness of somatic symptoms for depression assessment in pregnancy and postpartum. However, no study has examined the role of somatic symptoms in networks of pregnant and postpartum women compared to women outside peripartum. Here, we show that somatic symptoms are essential to depression assessment during pregnancy and postpartum. We compared networks of the nine PHQ-9 items across pregnant women (n = 894, Mage = 29.29), women in postpartum (n = 586, Mage = 29.83) and women outside peripartum (n = 1029, Mage = 24.87). While three of the five somatic symptoms in PHQ-9 were more present in pregnant women than in those outside the peripartum, the three networks were highly similar regarding the position of the somatic symptoms and their relation to the emotional-cognitive symptoms. Most depression symptoms in pregnant women were predicted by other depression symptoms to a lesser extent than in postpartum and outside peripartum. Other external variables are therefore needed to explain these sensations in pregnancy. In addition to the incidence of somatic symptoms, practitioners should ask pregnant women about their attributions of these.
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Affiliation(s)
- Petra Pátková Daňsová
- The Psychology Research Institute, Faculty of Social Studies, Masaryk University, Czech Republic.
| | - Edita Chvojka
- Department of Methodology and Statistics, Faculty of Social and Behavioural Sciences, Utrecht University, Netherlands.
| | - Hynek Cígler
- The Psychology Research Institute, Faculty of Social Studies, Masaryk University, Czech Republic.
| | - Lenka Lacinová
- The Psychology Research Institute, Faculty of Social Studies, Masaryk University, Czech Republic.
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32
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Cerea S, Iannattone S, Mancin P, Bottesi G, Marchetti I. Eating disorder symptom dimensions and protective factors: A structural network analysis study. Appetite 2024; 197:107326. [PMID: 38552742 DOI: 10.1016/j.appet.2024.107326] [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: 11/29/2023] [Revised: 03/07/2024] [Accepted: 03/26/2024] [Indexed: 04/14/2024]
Abstract
Eating Disorders (EDs) and related symptoms pose a substantial public health concern due to their widespread prevalence among both genders and associated negative outcomes, underscoring the need for effective preventive interventions. In this context, deepening our understanding of the interplay between ED symptoms and related protective factors appears crucial. Therefore, this study employed a structural network analysis approach considering both ED symptom dimensions (i.e., drive for thinness, bulimic symptoms, and body dissatisfaction) and related protective factors (i.e., body and functionality appreciation, intuitive eating, and self-esteem) to shed light on how these factors are interrelated. A community sample of 1391 individuals (34.4% men; Mage = 26.4 years) completed a socio-demographic schedule and self-report questionnaires. The network showed that the nodes with the highest positive expected influence were body and functionality appreciation, while those with the highest negative expected influence were eating for physical rather than emotional reasons and unconditional permission to eat (i.e., two components of intuitive eating). Crucially, the most relevant bridges between the conceptual communities "ED symptom dimensions" and "Protective factors" were the negative relations between (a) eating for physical rather than emotional reasons and bulimic symptoms, (b) unconditional permission to eat and drive for thinness, and (c) body appreciation and body dissatisfaction. Finally, age, gender, and body mass index did not moderate any edge in the network. The practical implications of these findings are discussed, especially in terms of preventive interventions for ED symptoms.
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Affiliation(s)
- Silvia Cerea
- Department of General Psychology, University of Padova, Italy; Department of Biomedical Sciences, University of Padova, Italy.
| | - Sara Iannattone
- Department of General Psychology, University of Padova, Italy
| | - Paolo Mancin
- Department of General Psychology, University of Padova, Italy
| | - Gioia Bottesi
- Department of General Psychology, University of Padova, Italy
| | - Igor Marchetti
- Department of Life Sciences, University of Trieste, Italy
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Röttgering JG, Varkevisser TMCK, Gorter M, Belgers V, De Witt Hamer PC, Reijneveld JC, Klein M, Blanken TF, Douw L. Symptom networks in glioma patients: understanding the multidimensionality of symptoms and quality of life. J Cancer Surviv 2024; 18:1032-1041. [PMID: 36922442 PMCID: PMC11082018 DOI: 10.1007/s11764-023-01355-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 02/27/2023] [Indexed: 03/18/2023]
Abstract
PURPOSE To comprehend the complex relationship between symptoms and health-related quality of life (HRQoL) in patients with diffuse glioma, we applied symptom network analysis to identify patterns of associations between depression, cognition, brain tumor-related symptoms, and HRQoL. Additionally, we aimed to compare global strength between symptom networks to understand if symptoms are more tightly connected in different subgroups of patients. METHODS We included 256 patients and stratified the sample based on disease status (preoperative vs. postoperative), tumor grade (grade II vs. III/IV), and fatigue status (non-fatigued vs. fatigued). For each subgroup of patients, we constructed a symptom network. In these six networks, each node represented a validated subscale of a questionnaire and an edge represented a partial correlation between two nodes. We statistically compared global strength between networks. RESULTS Across the six networks, nodes were highly correlated: fatigue severity, depression, and social functioning in particular. We found no differences in GS between the networks based on disease characteristics. However, global strength was lower in the non-fatigued network compared to the fatigued network (5.51 vs. 7.49, p < 0.001). CONCLUSIONS Symptoms and HRQoL are highly interrelated in patients with glioma. Interestingly, nodes in the network of fatigued patients were more tightly connected compared to non-fatigued patients. IMPLICATIONS FOR CANCER SURVIVORS We introduce symptom networks as a method to understand the multidimensionality of symptoms in glioma. We find a clear association between multiple symptoms and HRQoL, which underlines the need for integrative symptom management targeting fatigue in particular.
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Affiliation(s)
- J G Röttgering
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam, The Netherlands.
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Medical Psychology, Boelelaan 1117, Amsterdam, The Netherlands.
| | - T M C K Varkevisser
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Anatomy and Neurosciences, Boelelaan 1117, Amsterdam, The Netherlands
| | - M Gorter
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam, The Netherlands
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Anatomy and Neurosciences, Boelelaan 1117, Amsterdam, The Netherlands
| | - V Belgers
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam, The Netherlands
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Neurology, Boelelaan 1117, Amsterdam, The Netherlands
| | - P C De Witt Hamer
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam, The Netherlands
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Neurosurgery, Boelelaan 1117, Amsterdam, The Netherlands
| | - J C Reijneveld
- Department of Neurology, SEIN, Heemstede, The Netherlands
| | - M Klein
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam, The Netherlands
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Medical Psychology, Boelelaan 1117, Amsterdam, The Netherlands
| | - T F Blanken
- Department of Psychological Methods, University of Amsterdam, 1018 WT, Amsterdam, The Netherlands
| | - L Douw
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam, The Netherlands
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Anatomy and Neurosciences, Boelelaan 1117, Amsterdam, The Netherlands
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Heshmati S, Westhoff M, Hofmann SG. Novel Approaches Toward Studying Change: Implications for Understanding and Treating Psychopathology. Psychiatr Clin North Am 2024; 47:287-300. [PMID: 38724120 DOI: 10.1016/j.psc.2024.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
In this article, the authors critically evaluate contemporary models of psychopathology and therapies, underscoring the limitations of traditional symptom-based classification approaches in mental health. The authors introduce a paradigm shift in the field, toward a process-oriented and dynamic systems approach to psychotherapy that offers deeper insights into the complex interplay of symptoms and individual experiences in psychopathology. These approaches offer a more personalized and effective understanding and treatment of mental health issues, moving beyond static and 1-dimensional views. The authors discuss the implications for clinical practice, emphasizing improved assessment, diagnosis, and tailored treatment strategies.
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Affiliation(s)
- Saida Heshmati
- Department of Psychology, Claremont Graduate University, 150 E. 10th Street, Claremont, CA 91711, USA.
| | - Marlon Westhoff
- Department of Psychology, Philipps-University of Marburg, Translational Clinical Psychology Group, Schulstraße 12, Marburg D-35032, Germany
| | - Stefan G Hofmann
- Department of Psychology, Philipps-University of Marburg, Translational Clinical Psychology Group, Schulstraße 12, Marburg D-35032, Germany
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Sun HL, Chen P, Bai W, Zhang L, Feng Y, Su Z, Cheung T, Ungvari GS, Cui XL, Ng CH, An FR, Xiang YT. Prevalence and network structure of depression, insomnia and suicidality among mental health professionals who recovered from COVID-19: a national survey in China. Transl Psychiatry 2024; 14:227. [PMID: 38816419 PMCID: PMC11139988 DOI: 10.1038/s41398-024-02918-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 02/16/2024] [Accepted: 05/07/2024] [Indexed: 06/01/2024] Open
Abstract
Psychiatric syndromes are common following recovery from Coronavirus Disease 2019 (COVID-19) infection. This study investigated the prevalence and the network structure of depression, insomnia, and suicidality among mental health professionals (MHPs) who recovered from COVID-19. Depression and insomnia were assessed with the Patient Health Questionnaire (PHQ-9) and Insomnia Severity Index questionnaire (ISI7) respectively. Suicidality items comprising suicidal ideation, suicidal plan and suicidal attempt were evaluated with binary response (no/yes) items. Network analyses with Ising model were conducted to identify the central symptoms of the network and their links to suicidality. A total of 9858 COVID-19 survivors were enrolled in a survey of MHPs. The prevalence of depression and insomnia were 47.10% (95% confidence interval (CI) = 46.09-48.06%) and 36.2% (95%CI = 35.35-37.21%), respectively, while the overall prevalence of suicidality was 7.8% (95%CI = 7.31-8.37%). The key central nodes included "Distress caused by the sleep difficulties" (ISI7) (EI = 1.34), "Interference with daytime functioning" (ISI5) (EI = 1.08), and "Sleep dissatisfaction" (ISI4) (EI = 0.74). "Fatigue" (PHQ4) (Bridge EI = 1.98), "Distress caused by sleep difficulties" (ISI7) (Bridge EI = 1.71), and "Motor Disturbances" (PHQ8) (Bridge EI = 1.67) were important bridge symptoms. The flow network indicated that the edge between the nodes of "Suicidality" (SU) and "Guilt" (PHQ6) showed the strongest connection (Edge Weight= 1.17, followed by "Suicidality" (SU) - "Sad mood" (PHQ2) (Edge Weight = 0.68)). The network analysis results suggest that insomnia symptoms play a critical role in the activation of the insomnia-depression-suicidality network model of COVID-19 survivors, while suicidality is more susceptible to the influence of depressive symptoms. These findings may have implications for developing prevention and intervention strategies for mental health conditions following recovery from COVID-19.
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Affiliation(s)
- He-Li Sun
- 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
| | - Pan 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
| | - Wei Bai
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Ling Zhang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yuan Feng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Zhaohui Su
- School of Public Health, Southeast University, Nanjing, China
| | - Teris Cheung
- School of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Gabor S Ungvari
- Section of Psychiatry, University of Notre Dame Australia, Fremantle, WA, Australia
- Division of Psychiatry, School of Medicine, University of Western Australia, Perth, WA, Australia
| | - Xi-Ling Cui
- Department of Business Administration, Hong Kong Shue Yan University, Hong Kong, Hong Kong SAR, China
| | - Chee H Ng
- Department of Psychiatry, The Melbourne Clinic and St Vincent's Hospital, University of Melbourne, Richmond, VIC, Australia.
| | - Feng-Rong An
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital; Advanced Innovation Center for Human Brain Protection, 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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Ramos-Vera C, Calle D, Quispe-Callo G, Höller I, Forkmann T, Ordoñez-Carrasco J, Čopková R, Lichner V, Lobos-Rivera M, Calizaya-Milla YE, Saintila J. Sex differences in entrapment in a multinational sample: a network analysis perspective. Front Psychiatry 2024; 15:1321207. [PMID: 38863617 PMCID: PMC11165698 DOI: 10.3389/fpsyt.2024.1321207] [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: 10/13/2023] [Accepted: 04/22/2024] [Indexed: 06/13/2024] Open
Abstract
Background The concept of entrapment has been highlighted as a transdiagnostic element that manifests itself in disorders such as depression, anxiety, and suicidal ideation. Although research has been conducted in different contexts independently, a comprehensive multi-country study to assess gender differences in entrapment through network analysis has not yet been carried out. The objective of this study was to evaluate the entrapment network in men and women at the multinational level. Methods A sample of 2,949 participants, ranging in age from 18 to 73 years from six countries (Germany, Iran, Spain, Slovakia, El Salvador, and Peru), was considered. They completed the entrapment scale. A network analysis was performed for both men and women to identify the connectivity between indicators and the formation of clusters and domains, in addition to the centrality assessment in both sex groups. Results The study findings revealed the presence of a third domain focused on external interpersonal entrapment in the network of men and women. However, in relation to the interconnectivity between domains, variations were evidenced in both networks, as well as in centrality, it was reported that men present a greater generalized entrapment in various aspects of life, while women tend to experience a more focused entrapment in expressions of intense emotional charge. Conclusion The multinational study identified variations in the structure of entrapment between genders, with three domains (internal, external, and external-interpersonal) and differences in the interaction of indicators and groupings, as well as discrepancies in centrality.
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Affiliation(s)
| | - Dennis Calle
- Área de Investigación, Universidad César Vallejoo, Lima, Peru
| | - Gleni Quispe-Callo
- Escuela de Psicología, Universidad Nacional de San Agustín de Arequipa, Arequipa, Peru
| | - Inken Höller
- Department of Clinical Psychology and Psychotherapy, University of Duisburg-Essen, Essen, Germany
- Department of Clinical Psychology and Psychotherapy, Charlotte Fresenius Hochschule, Düsseldorf, Germany
| | - Thomas Forkmann
- Department of Clinical Psychology and Psychotherapy, University of Duisburg-Essen, Essen, Germany
| | | | - Radka Čopková
- Faculty of Economics, Technical University of Košice, Košice, Slovakia
| | - Vladimir Lichner
- Department of Social Work, Faculty of Arts, Pavol Jozef Šafárik University in Košice, Košice, Slovakia
| | - Marlon Lobos-Rivera
- Escuela de Psicología, Universidad Tecnológica de El Salvador, San Salvador, El Salvador
| | | | - Jacksaint Saintila
- Facultad de Ciencias de la Salud, Universidad Señor de Sipán, Chiclayo, Peru
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Ebling S, Johnson SU, Hoffart A, Pallesen S, Ebrahimi OV. The dynamic relationships between well-being, behavioral restrictions, and health behaviors during the COVID-19 pandemic: A large-scale intensive longitudinal network study. Appl Psychol Health Well Being 2024. [PMID: 38800934 DOI: 10.1111/aphw.12555] [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] [Accepted: 05/02/2024] [Indexed: 05/29/2024]
Abstract
The behavioral restrictions disrupting daily life during the COVID-19 pandemic have profoundly impacted well-being, and health behaviors have been advocated to prevent decline. To understand how processes related to fluctuation in well-being unfold within individuals, analyses on the within-person level are required. In this preregistered intensive longitudinal study, 1,709 individuals from the Norwegian adult population provided data daily over 40 consecutive days during the pandemic. The responses were modeled in a multilevel vector autoregressive model to estimate within-person networks, across and within-day, and a between-person network. All three networks revealed productivity, relatedness, and optimism as positively associated. Social distancing was contemporaneously negatively associated with productivity and relatedness. Among behavioral factors, being physically active predicted lower relatedness across days but displayed positive associations with relatedness, productivity, and optimism contemporaneously. Alcohol consumption predicted lower productivity across and within-day, although revealing a positive association with optimism within-day. Being social online and feeling related to others displayed a temporal negative bidirectional relationship. In contrast, being social online was positively associated with optimism, productivity, and relatedness contemporaneously. Our study emphasizes the dynamic nature of well-being and its complex associations with behavioral factors during the pandemic. The study shed light on opposing associations of behavioral factors at the within- and between-person level.
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Affiliation(s)
- Sara Ebling
- Department of Psychosocial Science, Faculty of Psychology, University of Bergen, Bergen, Norway
| | - Sverre Urnes Johnson
- Department of Psychology, University of Oslo, Oslo, Norway
- Research Institute, Modum Bad Psychiatric Hospital, Vikersund, Norway
| | - Asle Hoffart
- Department of Psychology, University of Oslo, Oslo, Norway
- Research Institute, Modum Bad Psychiatric Hospital, Vikersund, Norway
| | - Ståle Pallesen
- Department of Psychosocial Science, Faculty of Psychology, University of Bergen, Bergen, Norway
| | - Omid V Ebrahimi
- Department of Experimental Psychology, University of Oxford, Oxford, UK
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Zanchi B, Trevor-Briscoe T, Sarti P, Rivi V, Bernini L, Burnazzi J, Ricci Bitti PE, Abbado A, Rostagno E, Pession A, Blom JMC, Scarponi D. The Impact of Music Therapy in a Pediatric Oncology Setting: An Italian Observational Network Study. Healthcare (Basel) 2024; 12:1071. [PMID: 38891146 PMCID: PMC11172261 DOI: 10.3390/healthcare12111071] [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: 03/15/2024] [Revised: 05/02/2024] [Accepted: 05/21/2024] [Indexed: 06/21/2024] Open
Abstract
BACKGROUND Music Therapy (MT) is a non-pharmacological, art-based intervention that employs music experiences within a therapeutic alliance to attend to clients' physical, emotional, cognitive, and social requirements. This is the first study aiming at investigating the impact of MT on the psychological facets of children suffering from cancer. METHODS The study, combining the AQR and m-YPAS assessment tools, evaluated behavioral, sound-musical, and interactive parameters in pediatric oncology patients undergoing MT sessions during hospitalization. Fifty patients admitted to the Paediatric Oncology and Haematology Unit at Policlinico S. Orsola Hospital in Bologna, Italy, were enrolled, irrespective of their treatment regimen. Data collection occurred on the first day of the MT session between 3 p.m. and 5 p.m., with observations conducted by independent observers. In addition to traditional statistical analysis, network analysis was used to explore the combined interactions of all parameters, effectively discerning the distinctive roles played by each one during therapy sessions and their influence on all others. RESULTS Network analysis highlighted distinct patterns of interactions among parameters during the various sessions, emphasizing the role of positive emotions and a calm setting, the child's ability to take the initiative in sessions, their sense of agency, and the parent's role in guiding them. Significant differences were recorded at each time point between all variables considered. CONCLUSIONS The results of this innovative study may pave the way for future multicenter studies aimed at further exploring the role of MT in children undergoing both curative and palliative treatments for cancer.
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Affiliation(s)
- Barbara Zanchi
- Conservatorio Bruno Maderna, 47521 Cesena, Italy; (B.Z.); (T.T.-B.); (P.E.R.B.)
- Fondazione Policlinico Sant’ Orsola, 40138 Bologna, Italy; (L.B.); (J.B.); (A.A.)
- MusicSpace Italy Association, 40122 Bologna, Italy
| | - Timothy Trevor-Briscoe
- Conservatorio Bruno Maderna, 47521 Cesena, Italy; (B.Z.); (T.T.-B.); (P.E.R.B.)
- Fondazione Policlinico Sant’ Orsola, 40138 Bologna, Italy; (L.B.); (J.B.); (A.A.)
- MusicSpace Italy Association, 40122 Bologna, Italy
| | - Pierfrancesco Sarti
- Department of Biomedical, Metabolic, and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy; (P.S.); (V.R.)
| | - Veronica Rivi
- Department of Biomedical, Metabolic, and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy; (P.S.); (V.R.)
| | - Lorenzo Bernini
- Fondazione Policlinico Sant’ Orsola, 40138 Bologna, Italy; (L.B.); (J.B.); (A.A.)
- MusicSpace Italy Association, 40122 Bologna, Italy
| | - Jenny Burnazzi
- Fondazione Policlinico Sant’ Orsola, 40138 Bologna, Italy; (L.B.); (J.B.); (A.A.)
| | - Pio Enrico Ricci Bitti
- Conservatorio Bruno Maderna, 47521 Cesena, Italy; (B.Z.); (T.T.-B.); (P.E.R.B.)
- Department of Psychology, University of Bologna, 40127 Bologna, Italy
| | - Alessandra Abbado
- Fondazione Policlinico Sant’ Orsola, 40138 Bologna, Italy; (L.B.); (J.B.); (A.A.)
| | - Elena Rostagno
- Oncoematologia Pediatrica, IRCCS Azienda Ospedaliero Universitaria di Bologna, 40138 Bologna, Italy;
| | - Andrea Pession
- Department of Medical and Surgical Sciences, University of Bologna, 40126 Bologna, Italy;
| | - Johanna M. C. Blom
- Department of Biomedical, Metabolic, and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy; (P.S.); (V.R.)
- Centre for Neuroscience and Neurotechnology, University of Modena and Reggio Emilia, 41125 Modena, Italy
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Warditz V, Meir N. Ukrainian-Russian bilingualism in the war-affected migrant and refugee communities in Austria and Germany: a survey-based study on language attitudes. Front Psychol 2024; 15:1364112. [PMID: 38845768 PMCID: PMC11154112 DOI: 10.3389/fpsyg.2024.1364112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Accepted: 04/22/2024] [Indexed: 06/09/2024] Open
Abstract
Introduction This paper provides an initial exploration of Ukrainian-Russian bilingualism in the context of the war-affected migration from Ukraine to Austria and Germany. While extensive research exists on various aspects of Ukrainian- Russian bilingualism in relation to Ukraine itself, thus far no studies have been conducted on this bilingualism in the diasporic context, i.e., as a language of the first and subsequential generations with a migrant background in Austria and Germany. Methods To address this research gap, our paper examines the language attitudes of two respondent groups with a Ukrainian background in the two countries: migrants and refugees who left Ukraine after 2014 and those who left after Russia's invasion in February 2022. In the framework of a sociolinguistic survey, we describe their current attitudes regarding the use of Ukrainian and Russian, among others, in relation to the actual and intended use of the language(s) in the multilingual context of migration. The survey eliciting information on demographic information, language proficiency, language attitudes and language use was conducted on 406 Ukrainians in two host countries (Austria: n = 103; Germany: n = 306). First, we compared self-rated proficiency in Ukrainian and Russian as well as attitudes and use of these languages. Second, we applied a network modelling analysis to determine the nature of relationships between these variables. Results and discussion The results indicated that proficiency in Ukrainian and in Russian were the strongest nodes in the model affecting language use and language attitudes toward the respective languages. Our data analysis focused on the pragmatic and symbolic value of Russian and Ukrainian playing a crucial role in the language vitality in multilingual settings. The paper discusses the imbalanced correlation of the symbolic and pragmatic value of Ukrainian and Russian in the diasporic Ukrainian communities. While Ukrainian has gained a higher symbolic status, Russian maintains a better pragmatic one, despite its negative symbolic status. However, we anticipate that the increasing symbolic value of Ukrainian and the diminishing value of Russian will lead to an increase in the use of Ukrainian also in Russian-dominant bilingual groups of Ukrainian migrants and refugees, even as an insider-code in hermetic minority groups.
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Affiliation(s)
| | - Natalia Meir
- Department of English Literature and Linguistics, Bar-Ilan University, Ramat Gan, Israel
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Mårtensson G, Johansson F, Buhrman M, Åhs F, Clason van de Leur J. A network analysis of exhaustion disorder symptoms throughout treatment. BMC Psychiatry 2024; 24:389. [PMID: 38783205 PMCID: PMC11112805 DOI: 10.1186/s12888-024-05842-9] [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: 11/10/2023] [Accepted: 05/13/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Stress-induced Exhaustion Disorder (ED) is associated with work absenteeism and adverse health outcomes. Currently, little is known regarding how the symptoms of ED are interrelated and whether the patterns of symptoms influence treatment outcomes. To this end, the current study applied network analyses on ED patients participating in a multimodal intervention. METHODS The first aim of the study was to explore the internal relationships between exhaustion symptoms and identify symptoms that were more closely related than others. A second aim was to examine whether the baseline symptom network of non-responders to treatment was more closely connected than the baseline symptom networks of responders, by comparing the sum of all absolute partial correlations in the respective groups' symptom network. This comparison was made based on the hypothesis that a more closely connected symptom network before treatment could indicate poorer treatment outcomes. Network models were constructed based on self-rated ED symptoms in a large sample of patients (n = 915) participating in a 24-week multimodal treatment program with a 12-month follow-up. RESULTS The internal relations between self-rated exhaustion symptoms were stable over time despite markedly decreased symptom levels throughout participation in treatment. Symptoms of limited mental stamina and negative emotional reactions to demands were consistently found to be the most closely related to other ED symptoms. Meanwhile, sleep quality and irritability were weakly related to other exhaustion symptoms. The symptom network for the full sample became significantly more closely connected from baseline to the end of treatment and 12-month follow-up. The symptom network of non-responders to treatment was not found to be more closely connected than the symptom network of responders at baseline. CONCLUSIONS The results of the current study suggest symptoms of limited mental stamina and negative emotional reactions to demands are central ED symptoms throughout treatment, while symptoms of irritability and sleep quality seem to have a weak relation to other symptoms of ED. The implications of these findings are discussed in relation to the conceptualization, assessment, and treatment of ED. TRIAL REGISTRATION The clinical trial was registered on Clinicaltrials.gov 2017-12-02 (Identifier: NCT03360136).
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Affiliation(s)
- Gustav Mårtensson
- Department of Psychology, Uppsala University, Box 1225, Uppsala, 751 42, Sweden.
| | - Fred Johansson
- Department of Health Promotion Science, Sophiahemmet University, Valhallavägen 91, Stockholm, SE-114 28, Sweden
| | - Monica Buhrman
- Department of Psychology, Uppsala University, Box 1225, Uppsala, 751 42, Sweden
| | - Fredrik Åhs
- Department of Psychology and Social Work, Mid Sweden University, Kunskapens väg 1, Östersund, SE-831 40, Sweden
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Zetterberg H, Zhao X, Bergbom S, Golovchanova N, Flink I, Boersma K. Understanding Work Ability in Employees with Pain and Stress-Related Ill-Health: An Explorative Network Analysis of Individual Characteristics and Psychosocial Work Environment. JOURNAL OF OCCUPATIONAL REHABILITATION 2024:10.1007/s10926-024-10200-3. [PMID: 38743130 DOI: 10.1007/s10926-024-10200-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 04/18/2024] [Indexed: 05/16/2024]
Abstract
PURPOSE There is a wide range of individual and work environment factors that influence work ability among workers with pain and stress-related ill-health. The multiple interactions and overlap between these factors are insufficiently understood, and a network approach could mitigate limitations of previous research. This pilot study aimed to explore interactions between individual characteristics and psychosocial work environment and potential links to long-term work ability. METHODS Prospective data from a prevention project was used. Individuals (N = 147) with pain and/or stress-related ill-health (95% women) at public sector workplaces filled out baseline questionnaires about a collection of individual and work environment factors, which were used for constructing undirected networks. The model was run in three subsamples of workplaces. Finally, a separate model was established with work ability at 6-month follow-up as outcome variable. A shortest pathway analysis was calculated to identify mediators of work ability. RESULTS Symptom catastrophizing and perceived stress were the most influential factors in all network models. Symptom catastrophizing and pain-disability risk were found to mediate the relation between perceived stress and long-term work ability. Further, demand-control-support factors were interrelated, and patterns of interaction differed between different types of workplaces. CONCLUSION The findings support the importance of individual factors, specifically symptom catastrophizing in an individual's coping with pain or stress-problems and its influence on long-term work ability. Catastrophizing might play a role in stress-related disorders which should be further investigated. Individual and work environment factors interact and vary across context, which needs to be taken into consideration to prevent pain and stress-related ill-health at work.
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Affiliation(s)
- Hedvig Zetterberg
- The Center for Health and Medical Psychology, School of Behavioral, Social and Legal Sciences, Örebro University, Örebro, Sweden.
- Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
| | - Xiang Zhao
- The Center for Health and Medical Psychology, School of Behavioral, Social and Legal Sciences, Örebro University, Örebro, Sweden
- Institute of Psychology, University of Klagenfurt, Klagenfurt am Wörthersee, Austria
| | - Sofia Bergbom
- The Center for Health and Medical Psychology, School of Behavioral, Social and Legal Sciences, Örebro University, Örebro, Sweden
| | - Nadezhda Golovchanova
- The Center for Health and Medical Psychology, School of Behavioral, Social and Legal Sciences, Örebro University, Örebro, Sweden
| | - Ida Flink
- The Center for Health and Medical Psychology, School of Behavioral, Social and Legal Sciences, Örebro University, Örebro, Sweden
- Department of Social and Psychological Studies, Karlstad University, Karlstad, Sweden
| | - Katja Boersma
- The Center for Health and Medical Psychology, School of Behavioral, Social and Legal Sciences, Örebro University, Örebro, Sweden
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Tamm G, Koster EHW, Hoorelbeke K. Multiple paths to rumination within a network analytical framework. Sci Rep 2024; 14:10874. [PMID: 38740852 DOI: 10.1038/s41598-024-61469-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 05/06/2024] [Indexed: 05/16/2024] Open
Abstract
Theories of rumination have proposed different psychological factors to place one at risk for repetitive negative thinking. A comprehensive empirical test that captures the most relevant contributors to rumination is lacking. Building on influential self-regulatory and metacognitive frameworks, we modeled how key constructs in this context relate to ruminative thinking. 498 participants completed online questionnaires including indicators of rumination, metacognition, promotion goal orientation, effortful control, and depression. We estimated regularized partial correlation networks to investigate unique associations between the different constructs and followed these analyses up with directed acyclic graphs to identify potential pathways towards rumination. Results demonstrated that: (1) both self-regulatory and metacognitive factors were directly linked to rumination, amongst these were (2) positive beliefs, negative beliefs about uncontrollability and harm, cognitive self-consciousness, depression, effortful control, perfectionism, and (lack of) cognitive confidence, and (3) we identified multiple directed pathways, suggesting three direct contributors to rumination while controlling for the influence of all other variables: diminished effortful control, positive beliefs, and cognitive self-consciousness. This study is the first to comprehensively assess metacognitive and self-regulatory frameworks of rumination in a data-driven manner. Our findings suggest that there are multiple pathways towards rumination, which should be incorporated in clinical case conceptualization of rumination and related disorders.
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Affiliation(s)
- Gerly Tamm
- Psychopathology and Affective Neuroscience Lab (PANlab), Department of Experimental Clinical and Health Psychology, Ghent University, Henri Dunantlaan 2, 9000, Gent, Belgium.
| | - Ernst H W Koster
- Psychopathology and Affective Neuroscience Lab (PANlab), Department of Experimental Clinical and Health Psychology, Ghent University, Henri Dunantlaan 2, 9000, Gent, Belgium
| | - Kristof Hoorelbeke
- Psychopathology and Affective Neuroscience Lab (PANlab), Department of Experimental Clinical and Health Psychology, Ghent University, Henri Dunantlaan 2, 9000, Gent, Belgium
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Nehler KJ, Schultze M. Simulation-Based Performance Evaluation of Missing Data Handling in Network Analysis. MULTIVARIATE BEHAVIORAL RESEARCH 2024; 59:461-481. [PMID: 38247019 DOI: 10.1080/00273171.2023.2283638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
Network analysis has gained popularity as an approach to investigate psychological constructs. However, there are currently no guidelines for applied researchers when encountering missing values. In this simulation study, we compared the performance of a two-step EM algorithm with separated steps for missing handling and regularization, a combined direct EM algorithm, and pairwise deletion. We investigated conditions with varying network sizes, numbers of observations, missing data mechanisms, and percentages of missing values. These approaches are evaluated with regard to recovering population networks in terms of loss in the precision matrix, edge set identification and network statistics. The simulation showed adequate performance only in conditions with large samples (n ≥ 500 ) or small networks (p = 10). Comparing the missing data approaches, the direct EM appears to be more sensitive and superior in nearly all chosen conditions. The two-step EM yields better results when the ratio of n/p is very large - being less sensitive but more specific. Pairwise deletion failed to converge across numerous conditions and yielded inferior results overall. Overall, direct EM is recommended in most cases, as it is able to mitigate the impact of missing data quite well, while modifications to two-step EM could improve its performance.
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Radhoe TA, van Rentergem JAA, Torenvliet C, Groenman AP, van der Putten WJ, Geurts HM. Comparison of network structures between autistic and non-autistic adults, and autism subgroups: A focus on demographic, psychological, and lifestyle factors. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2024; 28:1175-1189. [PMID: 37776020 PMCID: PMC11067416 DOI: 10.1177/13623613231198544] [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] [Indexed: 10/01/2023]
Abstract
LAY ABSTRACT There are large differences in the level of demographic, psychological, and lifestyle characteristics between autistic and non-autistic adults but also among autistic people. Our goal was to test whether these differences correspond to differences in underlying relationships between these characteristics-also referred to as network structure-to determine which characteristics (and relationships between them) are important. We tested differences in network structure in (1) autistic and non-autistic adults and (2) two previously identified subgroups of autistic adults. We showed that comparing networks of autistic and non-autistic adults provides subtle differences, whereas networks of the autism subgroups were similar. There were also no sex differences in the networks of the autism subgroups. Thus, the previously observed differences in the level of characteristics did not correspond to differences across subgroups in how these characteristics relate to one another (i.e. network structure). Consequently, a focus on differences in characteristics is not sufficient to determine which characteristics (and relationships between them) are of importance. Hence, network analysis provides a valuable tool beyond looking at (sub)group level differences. These results could provide hints for clinical practice, to eventually determine whether psychological distress, cognitive failures, and reduced quality of life in autistic adults can be addressed by tailored support. However, it is important that these results are first replicated before we move toward intervention or support.
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Affiliation(s)
| | | | | | | | - Wikke J van der Putten
- University of Amsterdam, The Netherlands
- Leo Kannerhuis (Youz/Parnassia Groep), The Netherlands
| | - Hilde M Geurts
- University of Amsterdam, The Netherlands
- Leo Kannerhuis (Youz/Parnassia Groep), The Netherlands
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Yang Y, Guo T, Zhao Q, Li Y, Cheung T, Zhang L, Zhu X, Jackson T, Li XH, Xiang YT. Mapping prodromal symptoms in patients with bipolar disorder: A network perspective. Psychiatry Res 2024; 335:115842. [PMID: 38479193 DOI: 10.1016/j.psychres.2024.115842] [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: 03/16/2022] [Revised: 11/20/2023] [Accepted: 03/04/2024] [Indexed: 04/14/2024]
Abstract
Bipolar disorder (BD) is a major mental disorder that significantly impairs behavior and social functioning. This study assessed the network structure of prodromal symptoms in patients with BD prior to their index mood episode. Semi-structured interviews were conducted with the Bipolar Prodrome Symptom Scale-Retrospective (BPSS-R) to examine patients' prodromal symptoms. Network analysis was conducted to elucidate inter-relations between prodromal symptoms. A total of 120 eligible patients participated in this study. Network analysis indicated that the observed model was stable. The edge Mania3-Depression9 ('Racing thoughts' - 'Thinking about suicide', edge weight = 14.919) showed the strongest positive connection in the model, followed by the edge Mania1-depression1 ('Extremely energetic/active' - 'Depressed mood', edge weight = 14.643). The only negative correlation in the model was for Mania7-depression2 ('Overly self-confident' - 'Tiredness or lack of energy', edge weight = -1.068). Nodes Mania3 ('Racing thoughts'), Depression9 ('Thinking about suicide'), Mania1 ('Extremely energetic/active'), and Depression1 ('Depressed mood') were the most central symptoms. Both depressive and manic or hypomanic symptoms appeared in the prodromal phase. Symptoms reflecting 'Racing thoughts', 'Thinking about suicide', 'Extremely energetic/active', and 'Depressed mood' should be thoroughly assessed and targeted as crucial prodromal symptoms in interventions to reduce the risk of BD episodes.
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Affiliation(s)
- Yuan Yang
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Tong Guo
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Qian Zhao
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yang Li
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Teris Cheung
- School of Nursing, Hong Kong Polytechnic University, Hong Kong Special Administrative Region of China
| | - Lei Zhang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Xuequan Zhu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Todd Jackson
- Department of Psychology, University of Macau, Macao SAR, China
| | - Xiao-Hong Li
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital; Advanced Innovation Center for Human Brain Protection, 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; Institute of Advanced Studies in Humanities and Social Sciences, University of Macau, Macao SAR, China.
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Salavera C, Urbón E. Emotional wellbeing in teachers. Acta Psychol (Amst) 2024; 245:104218. [PMID: 38493712 DOI: 10.1016/j.actpsy.2024.104218] [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: 01/03/2024] [Revised: 03/01/2024] [Accepted: 03/11/2024] [Indexed: 03/19/2024] Open
Abstract
Wellbeing is determined by happiness and both positive and negative affects. These constructs are, in turn, related to emotional intelligence and play an important role in individual behaviour. This study examined the relationship between happiness, emotional intelligence, and positive and negative affects in a sample of 344 (121 men 35.17 % and 223 women 64.83 %) trainee teachers, with an average age of 22.36 years. Happiness and affects yielded lower values, which may be related to the age of the participants. All variables under study were found to be correlated, which suggests that they are measuring the same construct: subjective wellbeing. Network analysis indicated that the self-regulation of emotions was the axial factor in the relationship. Finally, it was found that only the factor of emotional intelligence that measures the self-regulation of emotion and affects (both positive and negative) can be used to predict happiness. The present investigation reveals that more research is needed that takes more variables into consideration to describe the effect of these variables on personal wellbeing. The study offers empirical support to models that argue for a relationship between happiness, emotional intelligence, and affects, and emphasises the need to work on future teachers during their training to address their psychological wellbeing.
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Affiliation(s)
- Carlos Salavera
- OPIICS Observatorio para la Innovación e Investigación en Ciencias Sociales, Universidad de Zaragoza, Spain; Cátedra TEA Ediciones, Universidad de Zaragoza, Spain.
| | - Eva Urbón
- OPIICS Observatorio para la Innovación e Investigación en Ciencias Sociales, Universidad de Zaragoza, Spain; Cátedra TEA Ediciones, Universidad de Zaragoza, Spain.
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Pascalidis J, Bathelt J. The "central" importance of loneliness in mental health: A network psychometric study. INTERNATIONAL JOURNAL OF PSYCHOLOGY 2024. [PMID: 38679279 DOI: 10.1002/ijop.13133] [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: 06/06/2023] [Accepted: 03/30/2024] [Indexed: 05/01/2024]
Abstract
Loneliness is linked to negative mental health outcomes like depression and social anxiety. However, it is unclear how loneliness and these conditions are connected. This study aims to address two questions: (a) Are there pathways connecting loneliness to these conditions? (b) What symptoms play a role in these pathways? Using network analyses, the study examined a representative sample of 962 adults from the UK (mean age = 46, females = 492). The network analysis revealed four dimensions: depression, social anxiety and two dimensions for loneliness (isolation and social connectedness). Two distinct pathways were identified for the transmission of symptoms between loneliness, social anxiety and depression. The depression-isolation pathway involved a node representing the perceived loss of social connections. The social anxiety-social connectedness pathway was characterised by intimate interaction contexts. These findings suggest that loneliness is associated with different symptom pathways, potentially contributing to comorbidity between loneliness, social anxiety and depression.
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Affiliation(s)
- John Pascalidis
- Department of Psychology, Royal Holloway, University of London, London, UK
| | - Joe Bathelt
- Department of Psychology, Royal Holloway, University of London, London, UK
- Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
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48
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Fridman C, Livni A, Bar On S, Meir N. Modeling lexical abilities of heritage language and L2 speakers of Hebrew and English in Israel and the United States: a network approach. Front Psychol 2024; 15:1331801. [PMID: 38778883 PMCID: PMC11110673 DOI: 10.3389/fpsyg.2024.1331801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 04/04/2024] [Indexed: 05/25/2024] Open
Abstract
Introduction This paper examines the productive vocabulary skills of five groups of English-Hebrew bilinguals in Israel and the United States. The juxtaposition of these five groups allows us to simultaneously compare performance across dominance profiles, acquisition contexts (L2 learned in school, HL maintained at home, immigration and immersion), and countries (Israel and the USA). Methods A total of 185 participants took part in study: Hebrew-dominant heritage English speakers, Hebrew-dominant L2-English speakers, English-dominant heritage Hebrew speakers, and English-dominant L2-Hebrew speakers in the US and in Israel. They were all administered the MINT assessment in both languages, as well as background questionnaires. We then employ network modeling based on a secondary data analysis of background questionnaires to consider how each group's lexical proficiency ties in to reported input factors. Results and discussion The MINT results indicate clear language dominance in all the groups except Hebrew-dominant heritage English speakers, who show balanced proficiency in both their languages. The network models indicate key distinctions between the groups as a function of linguistic context, and we assess our findings in the context of recent work on quantifying the bilingual experience.
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Affiliation(s)
- Clara Fridman
- Department of English Literature and Linguistics, Bar Ilan University, Ramat Gan, Israel
| | - Adina Livni
- Department of English Literature and Linguistics, Bar Ilan University, Ramat Gan, Israel
| | - Sagit Bar On
- Department of English Literature and Linguistics, Bar Ilan University, Ramat Gan, Israel
| | - Natalia Meir
- Department of English Literature and Linguistics, Bar Ilan University, Ramat Gan, Israel
- Leslie and Susan Gonda Multidisciplinary Brain Research Center, Bar Ilan University, Ramat Gan, Israel
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Smith AR, Forrest LN, Kinkel-Ram SS, Grunewald W, Tubman SD, Esche A, Levinson C. A longitudinal network analysis of suicide risk factors among service members and veterans sampled for suicidal ideation or attempt. Psychol Med 2024:1-11. [PMID: 38651175 DOI: 10.1017/s0033291724000734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/25/2024]
Abstract
BACKGROUND Suicidal thoughts and behaviors are elevated among active-duty service members (ADSM) and veterans compared to the general population. Hence, it is a priority to examine maintenance factors underlying suicidal ideation among ADSM and veterans to develop effective, targeted interventions. In particular, interpersonal risk factors, hopelessness, and overarousal have been robustly connected to suicidal ideation and intent. METHODS To identify the suicidal ideation risk factors that are most relevant, we employed network analysis to examine between-subjects (cross-sectional), contemporaneous (within seconds), and temporal (across four hours) group-level networks of suicidal ideation and related risk factors in a sample of ADSM and veterans (participant n = 92, observations n = 10 650). Participants completed ecological momentary assessment (EMA) surveys four times a day for 30 days, where they answered questions related to suicidal ideation, interpersonal risk factors, hopelessness, and overarousal. RESULTS The between-subjects and contemporaneous networks identified agitation, not feeling close to others, and ineffectiveness as the most central symptoms. The temporal network revealed that feeling ineffective was most likely to influence other symptoms in the network over time. CONCLUSION Our findings suggest that ineffectiveness, low belongingness, and agitation are important drivers of moment-to-moment and longitudinal relations between risk factors for suicidal ideation in ADSM and veterans. Targeting these symptoms may disrupt suicidal ideation.
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Affiliation(s)
- April R Smith
- Department of Psychological Sciences, Auburn University, Auburn, AL, USA
| | - Lauren N Forrest
- Department of Psychiatry and Behavioral Health, The Pennsylvania State University, College of Medicine, Hershey, PA, USA
| | | | - William Grunewald
- Department of Psychological Sciences, Auburn University, Auburn, AL, USA
| | - S David Tubman
- USAF School of Aerospace Medicine, Wright-Patterson AFB, OH, USA
| | - Aaron Esche
- Wright-Patterson Medical Center, Wright-Patterson Airforce Base, OH, USA
| | - Cheri Levinson
- Department of Psychological and Brain Sciences, University of Louisville, Louisville, KY, USA
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50
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Caycho-Rodríguez T, Travezaño-Cabrera A, Torales J, Barrios I, Vilca LW, Samaniego-Pinho A, Moreta-Herrera R, Reyes-Bossio M, Barria-Asenjo NA, Ayala-Colqui J, Garcia-Cadena CH. Psychometric network analysis of the Patient Health Questionnaire-4 (PHQ-4) in Paraguayan general population. PSICOLOGIA-REFLEXAO E CRITICA 2024; 37:15. [PMID: 38619689 PMCID: PMC11018587 DOI: 10.1186/s41155-024-00299-x] [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: 09/10/2023] [Accepted: 04/09/2024] [Indexed: 04/16/2024] Open
Abstract
BACKGROUND Depression and anxiety are two of the most prevalent and disabling mental disorders worldwide, both in the general population and in outpatient clinical settings. OBJECTIVE This study aimed to analyze the psychometric properties of the Patient Health Questionnaire-4 (PHQ-4) based on network analysis metrics. METHODS A total of 911 Paraguayans (23.71% women and 76.29% men; mean age 31.25 years, SD = 10.63), selected by non-probabilistic convenience sampling, participated in the study. Network analysis was used to evaluate the internal structure, reliability, and measurement invariance between men and women. RESULTS The results revealed that the PHQ-4 is a unidimensional measure through Exploratory Graph Analysis (EGA). Reliability, through structural consistency, identified that 100% of the time, only a single dimension was obtained, and all items remained stable, as they were always replicated within the empirical dimension. The unidimensional structure has shown evidence of configural invariance; therefore, the network structure functioned equally among the different sex groups. CONCLUSION The PHQ-4 presented optimal preliminary evidence of validity based on its internal structure, reliability, and invariance between sexes. Therefore, it may be useful as an accurate and brief measure of anxiety and depressive symptoms in the Paraguayan context.
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Affiliation(s)
- Tomás Caycho-Rodríguez
- Facultad de Psicología, Universidad Científica del Sur, Campus Villa II, Ctra. Panamericana S 19, Villa EL Salvador, Lima, Peru.
| | | | - Julio Torales
- Cátedra de Psicología Médica, Facultad de Ciencias Médicas, Universidad Nacional de Asunción, San Lorenzo, Paraguay
- Instituto Regional de Investigación en Salud, Universidad Nacional de Caaguazú, Coronel Oviedo, Paraguay
- Facultad de Ciencias Médicas, Universidad Sudamericana, Pedro Juan Caballero, Paraguay
| | - Iván Barrios
- Instituto Regional de Investigación en Salud, Universidad Nacional de Caaguazú, Coronel Oviedo, Paraguay
- Cátedra de Bioestadística, Facultad de Ciencias Médicas, Universidad Nacional de Asunción, Santa Rosa del Aguaray Campus, Santa Rosa del Aguaray, Paraguay
| | - Lindsey W Vilca
- South American Center for Education and Research in Public Health, Universidad Norbert Wiener, Lima, Peru
| | - Antonio Samaniego-Pinho
- Carrera de Psicología, Facultad de Filosofía, Universidad Nacional de Asunción, Asunción, Paraguay
| | | | - Mario Reyes-Bossio
- Facultad de Psicología, Universidad Peruana de Ciencias Aplicadas, Lima, Peru
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