Global Strength Research Articles

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.

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.

The relation between mental health and career-related stress among prospective graduates in higher education stage during the COVID-19 pandemic: an evidence based on network analysis.

The outbreak of the COVID-19 pandemic has disrupted people's routine, bringing uncertainty and stress, leading to mental health issues. This situation is particularly acute among Chinese prospective graduates in higher education stage as they cannot predict the outcomes of their studies, graduation, and career development, and therefore experience career-related stress. This study included 4041 prospective graduates in higher education stage (using handy sampling) recruited in March 2020 as participants (M Age = 22.56, SD = 1.865), utilizing a Sparse Gaussian Graphical Model for regularized partial correlation network analysis of depression symptoms (by PHQ-9), anxiety symptoms (by GAD-7), and career-related stress, which aims to explore the role of career-related stress in the symptom networks of depression and anxiety among prospective graduates in their final semester. The results revealed that fatigue, sad mood, and psychomotor symptoms in depression, as well as uncontrollable worry and trouble relaxing in anxiety, were central symptoms in the network. Additionally, sad mood and guilt belonging to depressive symptoms, and feeling afraid, restlessness, and irritability belonging to anxiety symptoms, served as bridge symptoms connecting symptom communities. Specifically, guilt as a depressive symptom showed a strong association with employment stress in career-related stress. There were no significant differences in network structure and global strength based on participants' gender. However, despite no significant differences in network structure, the global strength of prospective graduates from Wuhan was significantly lower than samples from non-Hubei provinces, possibly indicative of a Typhoon Eye Effect. The findings of this study can inspire psychological professionals in higher education institutions to provide support for mental interventions and therapies for prospective graduates, and addressing career development issues.

A New Approach to Individualize Physical Activity Interventions for Individuals With Dementia: Cluster Analysis Based on Physical and Cognitive Performance.

Physical activity (PA) can have a beneficial effect on cognitive and physical performance in individuals with dementia (IWD), including those residing in nursing homes. However, PA interventions in nursing homes are usually delivered using a group setting, which may limit the effectiveness of the intervention due to the heterogenous nature of IWD. Therefore, the purpose of this study was to identify clusters based on cognitive and physical performance values, which could be used to improve individualization of PA interventions. Based on the cognitive and physical performance variables of 230 IWD, a cluster analysis was conducted. Global cognition (Mini-Mental State Examination), mobility (6-Meter Walking Test), balance (Frailty and Injuries: Cooperative Studies of Intervention Techniques-subtest-4), and strength and function of lower extremities (30-Second Chair-Stand Test) were assessed, and values were used to perform a hierarchical cluster analysis with Ward's method. Differences in physical and cognitive performance as well as other secondary outcomes (age, sex, body mass index, use of walking aids, diagnosis and etiology of dementia, number of medications, and Cumulative Illness Rating Scale) were tested using 1-factorial analyses of variance. Out of 230 data sets, 3-cluster solutions were identified with similar cluster sizes of 73 to 79. The silhouette coefficients for all calculated clusters ranged between 0.15 and 0.34. The cluster solutions were discussed in the context of cognitive and physical functions as well as training modalities and opportunities. The 4-cluster solution appears to be best suited for providing or developing an individualized PA intervention. The identified clusters of the 4-cluster solution may be used in future research to improve individualization of dementia-specific PA interventions. By assigning IWD to these clusters, more homogenous groups with regard to cognitive and physical performance can be formed. This allows for more individualized PA interventions and may result in a higher effectiveness, particularly in nursing homes. Our findings are relevant for therapists and nursing staff who design or deliver PA interventions in nursing homes or similar settings.

Psychological responses to the COVID-19 pandemic and situational impact: A network analysis in Hong Kong residents

BackgroundThe COVID-19 pandemic has had situational impacts and induced various psychological responses among residents. The present study aims to analyze the network structure of psychological responses to the pandemic and their relationships with situational impact, resilience, and well-being through a network approach. MethodsAn online survey recruited 1122 residents (mean age = 32.5 years, 65.4 % female) in Hong Kong from October 2020 to October 2021. The participants completed the Mental Impact and Distress Scale: Psychological Response (MIDc-PR) and other validated measures. Gaussian graphical modeling was conducted in R to identify the central MIDc-PR symptoms and their bridge linkages with situational impact, resilience, and well-being. ResultsIn the MIDc-PR network, the central symptoms were ‘Routine’ and ‘Images’ for Anticipation and ‘Tense’ and ‘Lonely’ for Modulation, with 12 bridge edges between the two clusters. In the combined network, the MIDc-PR nodes showed 12 bridge edges with situational impact, particularly in the health domain. ‘Concerned’, ‘Sleep’, and ‘Lonely’ showed negative linkages with resilience; ‘Unmotivated’ and ‘Trapped’ showed negative linkages with well-being. The network models showed good levels of stability and did not differ significantly in network structure and global strength across gender and age groups. LimitationsThe cross-sectional study design only allowed undirected associations in the network and could not model the within-subject effects. ConclusionsThe study findings contributed to the literature by elucidating the network structure of psychological responses to the pandemic. The central and bridge symptoms have clinical implications as potential targets for future interventions.

Evaluation of symptom network density as a predictor of treatment outcome of inpatient psychotherapy

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.

Finite element modeling of composite plate shear walls/concrete-filled (C-PSW/CF)

A Composite Plate Shear Wall/Concrete Filled (C-PSW/CF) is a “sandwich” type of construction by which concrete (without rebars) is enclosed between steel plates connected by tie bars. Since this system is relatively new, researchers as well as practicing engineers sometimes need to develop nonlinear model of these walls to be able to run pushover analyses, cyclic analyses, and seismic response analysis of C-PSW/CF. Different methods can be used for such non-linear analysis, as a function of project needs and computational resolution desired. This paper focuses on finite element modelling; it describes the details of the LS-DYNA models of the C- and T- shaped C-PSW/CF specimens tested in SEESL at University at Buffalo and shows the comparison between test data with the results of finite element analysis of specimens. As such, the objective of this paper is to present the details of a model used to replicate the hysteretic behavior of the tested specimens, and then answers questions that cannot be investigated or measured from tested specimens. More specifically, this allowed to quantify the respective contributions of steel and concrete to the total flexural strength throughout the entire cyclic history, where (for example) steel contributed to 54 % of the total flexural strength in the positive direction during the initial cycles of hysteretic response, degrading to 45 % at the onset of local buckling in the web, but recovering to 80 % upon strength global strength degradation of the wall.

Characteristics of symptoms and development of psychological status in late Chinese adolescence

BackgroundMany late adolescents experience a state of psychological sub-health, requiring early recognition and intervention. This study aims to assess the psychological state of late Chinese adolescents and uncover developmental trend of mental health through network analysis. MethodWe analyzed data from 9072 Chinese high school adolescents in Shandong Province surveyed in 2020–2021, and divided them into the normal, the suspected, and the abnormal groups based on Symptom Checklist 90 (SCL-90) scores. Network analysis was employed to identify the core symptoms and bridge symptoms across different states. ResultsAnxiety and depression were the most central symptoms, without gender differences. Core symptoms, network structure, and network invulnerability varied across different psychological states. The abnormal group exhibited the highest value of natural connectivity, followed by the suspected and normal groups. This pattern extended to bridge networks. While not meeting diagnostic criteria, the suspected group demonstrated abnormalities in network edge invariance and global strength invariance. LimitationsThe cross-sectional design cannot establish causality, and biases in self-report measurements cannot be ignored. ConclusionCompared to traditional scale indicators, network structural characteristics may be a more sensitive assessment indicator.

Network Analysis of Depressive Symptoms in Chinese Sexual Minority Women During the COVID-19 Pandemic: An Intra-Group Perspective

ABSTRACT The prevalence of depression among sexual minority women is a significant concern, yet no prior research has conducted a network analysis of depressive symptoms in this population. This is the first study to address this gap by examining the network structure of depressive symptoms in Chinese sexual minority women during the COVID-19 pandemic, considering both sexual orientation and gender expression as part of an intra-group perspective. 1420 Chinese sexual minority women completed the Center for Epidemiologic Studies Depressive Symptoms (CES-D). Network analysis was employed to calculate edge and centrality measures, and the network structures of lesbians and bisexual women were compared based on sexual orientation and of femme, androgyny, and butch based on gender expression. Network analysis revealed that the core depressive symptoms of Chinese sexual minority women are “Felt depressed,” “Fatigue,” “Sad,” and “Failure.” Although no significant differences were found in the network structure and global strength of depressive symptoms between different sexual orientations and gender expressions, there were significant differences in the core symptoms. This study suggests the unique associations between depressive symptoms and social and historical contexts among sexual minority women and emphasizes the importance of considering these differences when providing targeted mental health interventions.

Pixels and perception: Mapping the association between digital media and psychotic-like experiences in adolescents

IntroductionPsychotic-like experiences (PLEs) during adolescence can lead to psychotic disorders. Digital media usage has been suggested to link to PLEs, but research is limited on how different types of screen exposure may differentially relate to PLEs over time. This study aimed to examine longitudinal associations between screen usage patterns and PLEs in adolescents. MethodsParticipants comprised 11,876 adolescents assessed annually from ages 9–12 years as part of the Adolescent Brain Cognitive Development study (ABCD). Screen usage (TV, video games, online video, social media, texting, video chat) and PLEs were assessed via self-report. Longitudinal network analysis models were estimated to examine connections between screen usage types and PLEs across three time points. ResultsTwo clusters were formed, including digital media for socializing (e.g., social media/texting/video chat) and digital media for entertainment (e.g., online video/video games/TV). Texting and online video(s) had the highest centrality at each time point, suggesting importance in the network. PLE symptoms of hallucinations and concentration difficulties exhibited higher centrality than other symptoms. Online video and TV were influential bridges between screen usage and PLEs. Network structure significantly differed between ages 9–10 and 10–12 years, but global strength was unchanged over time. DiscussionResults highlight the importance of understanding the associations between specific screen usage types and PLE symptoms. Texting and online video usage appear most influential in the development of adolescent PLEs over time. Findings can inform targeted interventions to promote healthy screen habits and reduce PLEs in at-risk youth.

Sex gaps and age differences in the structure of academic cyberloafing from early to middle adolescence: A network analysis.

Academic cyberloafing refers to students' engagement in non-learning-related online activities during online courses, which can negatively affect their academic performance. Prior studies investigated cyberloafing primarily in the workplace, neglecting core behaviors and interactions among academic cyberloafing in educational contexts. This study employed network analysis to capture academic cyberloafing as an interactive behavior network to explore the core behavioral patterns of academic cyberloafing and the interactions between these behaviors. A total of 3537 adolescents (Mage = 12.49; 53.7% boys and 46.3% girls) in China were included in this study. The findings indicated that "seeking gossip news" and "watching short videos" are central behaviors. Among boys, "browsing nonacademic web pages" and "watching short videos" are central behaviors; "seeking gossip news" is the most central behavior among girls. Furthermore, in early adolescence, central behaviors encompass "chatting privately" and "seeking gossip news"; in middle adolescence, central behaviors include "seeking gossip news" and "watching short videos."Additionally, the comparisons indicated that academic cyberloafing networks (between boys and girls; between early and middle adolescence) show a similar structure and global strength but differ in specific academic cyberloafing associations. As adolescents of different sexes and ages engage in academic cyberloafing differently, tailored education interventions can be implemented to address unregulated cyberloafing.

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

BackgroundExploring 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. MethodsPropensity 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. ResultsThe 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”. ConclusionDifferences 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.

Symptom cluster among cancer survivors from a nationally representative survey: a network analysis.

To identify the symptom cluster among cancer survivors and examine their subgroup differences via network analysis based on nationally representative data. This cross-sectional study included 2966 survivors participating in the 2020 National Health Interview Survey (NHIS). Participants self-reported the presence of 14 symptoms capturing four clusters (physical, somatic, sleep, and psychologic problems). Network analysis models were used to reveal the relationships between symptoms and those interactions. Network comparison tests were applied to compare subgroups. The core symptoms of the symptom cluster were fatigue (Bet = 33, Clo = 0.0067, Str = 0.9397), pain (Bet = 11, Clo = 0.0060, Str = 0.9226), wake up well rested (Bet = 25, Clo = 0.0057, Str = 0.8491), and anxiety (Bet = 5, Clo = 0.0043, Str = 0.9697) among cancer survivors. The core symptoms, network structure, and global strength were invariant between time since diagnoses (< 2years vs. ≥ 2years) or between numbers of cancers (1 vs. ≥ 2), yet varied between the comorbidity group and non-comorbidity group (≥ 1 vs. 0). Fatigue would be a potential target for alleviating other symptoms through a negative feedback loop of other related symptoms of cancer survivors. In particular, cancer survivors with other chronic diseases should be the focus of attention and strengthen targeted intervention.

Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Microscale Mechanical Behaviour Evaluation of Unsaturated Granular Soils via 4D in situ Triaxial Test on μ-CT

Owing to the complex structure and stress history of unsaturated soils, the micro-mechanism of effective stress theory in unsaturated soil mechanics remains unelucidated. In this study, we developed a miniature triaxial test apparatus for a micro-focus computed tomography (μ-CT) scanning system for the microscopic study of the mechanical behaviour of unsaturated soil. By comparing the results from the developed mini-triaxial test device system with those from a conventional triaxial device, its experimental accuracy was verified. Micron-level high-resolution CT images of sheared specimens at different strain stages were obtained using the device for in situ suction-control triaxial compression 4D (3-Dimensional+Dynamic) tests with a μ-CT scanning system. The multiscale evolution behaviours of the physical parameters (porosity and degree of saturation) of the specimens corresponded to the stress–strain relationship revealed by the in situ test. Triaxial shearing drains out the pore water, and the decomposition of the largest water clusters causes the quantity of small-volume liquid clusters to increase, shifting the distribution of the interfacial areas. The degree of saturation scale indicates the presence of liquid bridges within the shear band that provide interparticle cementation effect and thus enhance the global strength of unsaturated granular soil specimens.

Do depressed people with subjective psychomotor retardation show a different symptomatic pattern? A network analysis approach using a cross-national sample

Background and objectivesPsychomotor retardation (PMR) has been associated with worse clinical course in depressed people. Explanations for this finding remain inconclusive. This study aimed to analyse whether depressed people with subjective PMR might show a different symptomatic pattern and to describe their clinical and sociodemographic profiles. MethodsA total of 1024 participants from Finland, Spain and Poland, part of the “COURAGE in Europe” Project who screened positive for a depressive episode according to International Classification of Diseases-10 (ICD-10) criteria using the World Health Organization Composite International Diagnostic Interview 3.0 (CIDI 3.0), were included. Two group networks of depressive symptoms were estimated according to the presence (555 people) and absence (469 people) of subjective PMR. Measures of strength and betweenness of depressive symptoms were explored. ResultsPeople with subjective PMR showed a higher number of symptoms (11.30 (±2.67) versus 9.26 (±2.77)) and global disability score (38.30 (±26.41) versus 19.59 (±19.31) than people without subjective PMR. Although no difference was found in the global structure (M-Test=1.531; p = 0.994) nor the global strength (S-Test=0.248; p = 0.954) of depressed symptoms between depressed people with and without subjective PMR, differences were found in the type of central symptoms; “Restlessness/Jitters” (p = 0.01) and “Early Wake-Up” (p = 0.02) were relevant for the subjective PMR group. These two symptoms worked as bridge items between other depressive symptoms specifically for depressed people with subjective PMR. ConclusionsOur results confirm that subjective PMR in depression is associated with higher severity of symptoms and disability. Depressed People with subjective PMR might show a different pattern of nuclear symptoms. Suicidal attempt, early wake-up and restlessness could be high-priority targets in the treatment of depressed people with subjective PMR.

Longitudinal changes in the PTSD symptom network following trauma-focused treatment in military populations: Identifying central symptoms and the role of military sexual trauma

Posttraumatic stress disorder (PTSD) is a debilitating condition affecting military populations, with a higher prevalence compared to the general population. Despite the development of first-line trauma-focused treatments such as Cognitive Processing Therapy (CPT) and Prolonged Exposure Therapy (PE), a significant proportion of patients continue to experience persistent PTSD symptoms following treatment. This study utilized network analysis to explore the PTSD symptom network's dynamics pre- and post- trauma-focused treatment and investigated the role of military sexual trauma (MST) history in shaping the network. Network analysis is a novel approach that can guide treatment target areas. The sample was comprised of 1648 service members and veterans who participated in a two-week intensive PTSD treatment program, which included completion of evidenced-based individual therapy as well as skill-building focused group therapy. PTSD severity was assessed using the PTSD Checklist for DSM-5 at baseline and post-treatment. Network analyses revealed strong connections within symptom clusters, with negative emotions emerging as one of the most central symptoms. Interestingly, the symptom network's overall structure remained stable following treatment, whereas global strength significantly increased. MST history did not significantly impact the network's structure or its change relative to treatment. Future research should further examine whether targeting negative emotions optimizes PTSD treatment outcomes for military populations.

Parkinsonism, Psychomotor Slowing, Negative and Depressive Symptoms in Schizophrenia Spectrum and Mood Disorders: Exploring Their Intricate Nexus Using a Network Analytic Approach.

Parkinsonism, psychomotor slowing, negative and depressive symptoms show evident phenomenological similarities across different mental disorders. However, the extent to which they interact with each other is currently unclear. Here, we hypothesized that parkinsonism is an independent motor abnormality showing limited associations with psychomotor slowing, negative and depressive symptoms in schizophrenia spectrum (SSD), and mood disorders (MOD). We applied network analysis and community detection methods to examine the interplay and centrality (expected influence [EI] and strength) between parkinsonism, psychomotor slowing, negative and depressive symptoms in 245 SSD and 99 MOD patients. Parkinsonism was assessed with the Simpson-Angus Scale (SAS). We used the Positive and Negative Syndrome Scale (PANSS) to examine psychomotor slowing (item #G7), negative symptoms (PANSS-N), and depressive symptoms (item #G6). In SSD and MOD, PANSS item #G7 and PANSS-N showed the largest EI and strength as measures of centrality. Parkinsonism had small or no influence on psychomotor slowing, negative and depressive symptoms in SSD and MOD. In SSD and MOD, exploratory graph analysis identified one community, but parkinsonism showed a small influence on its occurrence. Network Comparison Test yielded no significant differences between the SSD and MOD networks (global strength p value: .396 and omnibus tests p value: .574). The relationships between the individual domains followed a similar pattern in both SSD and MOD highlighting their transdiagnostic relevance. Despite evident phenomenological similarities, our results suggested that parkinsonism is more independent of negative and depressive symptoms than psychomotor slowing in both SSD and MOD.

Mental health markers and protective factors in students with symptoms of physical pain across WEIRD and non-WEIRD samples – a network analysis

BackgroundStudies conducted in Western societies have identified variables associated with chronic pain, but few have done so across cultures. Our study aimed to clarify the relationship between specific mental health markers (i.e., depression, anxiety, posttraumatic stress disorder [PTSD], perceived stress) as well as specific protective factors (i.e., social support and self-efficacy) related to physical pain among university students across non-WEIRD and WEIRD samples.MethodA total of 188 university students (131 women and 57 men) were included in the study. We used network analysis to ascertain mental health markers especially central to the experience of physical pain.ResultsNo statistically significant difference was found between mental health markers (i.e., depression, anxiety, perceived stress, and PTSD) and protective factors (i.e., social support and self-efficacy) associated with physical pain symptoms for Swiss students versus Indian students (M = 0.325, p = .11). In addition, networks for Swiss versus Indian students did not differ in global strength (S = 0.29, p = .803). Anxiety was the most central mental health marker, and social support was the most important protective factor related to physical pain in both countries. However, for Swiss students, perceived stress, and for Indian students, PTSD symptoms were central mental health markers related to physical pain.ConclusionOur results identify factors that may serve as important treatment targets for pain interventions among students of both countries before it becomes chronic.

International trademark protection strength: 1990–2020

AbstractThis paper presents a pioneering study that addresses the insufficient attention given to trademark rights in current indices that evaluate the protection of intellectual property rights (IPRs). Our study sets itself apart from previous measures by defining the strength of trademark protection as the level of applicant friendliness within a country's trademark system. We introduce the innovative trademark protection strength (TPS) index, which focuses on 78 countries spanning from 1990 to 2020. Drawing on established theoretical components of the patent system, we deconstruct the TPS index into four distinct dimensions: international mechanisms, legislation, enforcement and administration. Our findings reveal the growth and subsequent stabilisation of global trademark protection strength, with reduced disparities observed after 2005. Importantly, we identify variations in improvement rates among countries with different income levels, thereby highlighting the influence of economic factors. By providing a detailed methodology and transparent construction of the TPS index, we ensure its replicability and potential for future expansion. The index's objective data and extended coverage facilitate the examination of various configurations of IPR systems, policy designs and their impact on the global economy.

Interaction between anxiety symptoms and decreased meaning in life: One possible pathway linking childhood trauma and depression- evidence from the network analysis

BackgroundRobust 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 settingsA 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). MethodsIn 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. ResultsThe 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. ConclusionIntervention targeting improving the self-esteem of individuals suffering from childhood trauma may help to alleviate their depression and anxiety symptoms.