Análisis de redes: ¿una nueva forma de comprender la psicopatología?

Most influential symptoms in the early detection of clinical high risk for psychosis in Indonesia: A basic symptom network

Basic symptoms (BS) are subtle, self-experienced disturbances in mental processes. Cognitive, visual and acoustic BS were included in clinical-high risk criteria for psychosis (CHR-P). So far, their interplay has been studied only in Western samples and always in concert with other symptoms, such as (attenuated) psychotic symptoms. Thus, we studies the interrelation of the 56 BS assessed with the 'Schizophrenia Proneness Instrument, Adult version', in an Indonesian sample of CHR-P patients (N = 108) 16-30 years-of-age, 18.95 % male) according to BS criteria using network analysis. The used estimator partially correlates with the Gaussian graphical model (GGM) and graph module. Model selection uses regularization techniques by setting λ = 0.05. The most central and traversed nodes in the robust, stable network were visual disturbances-'near- and tele-vision', 'disturbances of the perception of straight lines/contours' and 'micropsia, macropsia'. Visual disturbances were also predominately involved in the 16 strongest edges, thereby linking strongly with alienation experiences. Contrary to networks in Western samples in that cognitive BS played a central and important role, subjective visual disturbances seem to play an important role in the possible emergence and maintenance of BS, in particular of alienation experiences, in Indonesian patients with CHR-P. Future studies should therefore study this potential role longitudinally along with their neurobio/cognitive underpinnings. Furthermore, it should be studies, if cognitive-behavioral therapy as suggested for alienation experiences may prevent progression and reduce symptom load.

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

BACKGROUND AND HYPOTHESIS

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).

STUDY DESIGN

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).

STUDY RESULTS

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).

CONCLUSIONS

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.

A multicenter cross-sectional study of gambling disorder among patients with methamphetamine use disorder in drug rehabilitation centers: prevalence, correlates, and network analysis

BACKGROUND

This study sought to investigate the prevalence, correlates, and network structure of the manifested symptoms in gambling disorder (GD) among methamphetamine (MA) use disorder (MUD) patients in China.

METHODS

We interviewed 1069 patients using the Semi-Structured Assessment for Drug Dependence and Alcoholism (SSADDA), Chinese version. Besides MA and other substance use disorders, GD was also ascertained by SSADDA. Other psychiatric diagnoses were ascertained, including major depressive episodes (MDEs), antisocial personality disorder, suicide and self-harm, and environmental factors, including childhood experiences.

RESULTS

Of 1069 participants, 711 met the DSM-5 diagnostic criteria for MUD. Among the 711 participants with MUD, 52.3% met DSM-5 diagnostic criteria for GD. We found that alcohol use together with MA, childhood violent experiences, MDEs, severe MUD, and gambling duration significantly differed between MUD participants with and without GD. In the GD-MUD network, the central symptoms were gambling preoccupation (GD1), giving up important activities (MUD6), financial trouble (GD9), and MA tolerance (MUD5). MA tolerance (MUD5) also served as a bridge symptom across the network, exhibiting substantial associations with gambling preoccupation (GD1).

CONCLUSION

GD is prevalent among individuals in treatment for MUD in China. Network analysis suggests that gambling preoccupation and MA tolerance represent central features, and that MA tolerance serves as a bridge across GD and MUD.

Structure and dynamics of anxiety in people with ASD and ID: A network analysis

Anxiety is a very common mental health disorder in the ASD population. Despite the common comorbidity this association is not well understood. To understand the relationship between anxiety symptoms and ASD in a sample of people with ASD and intellectual disability, a network analysis was carried out. One hundred and twenty-eight adults (M = 36.63 age, SD = 8,54) were evaluated to know the structure of anxiety symptoms in autism and their relationship with ASD symptomatology. The results showed a single network where both symptomatologies were mixed. Bridging symptoms such as fear of being touched, fear of something bad happening to them, and the need for invariance and anticipation were identified. Moreover, social issues such as difficulty in making friends were associated with anxiety symptoms. Knowing and identifying ASD symptoms that are strongly linked to the anxiety network has important implications for the prevention of anxiety in this case in people with autism and intellectual disabilities.

Interrelationships of stress, burnout, anxiety, depression, quality of life and suicidality among Chinese residents under Standardized Residency Training: a network analysis

BACKGROUND

Chinese resident physicians confront challenges such as staff shortages and heavy workloads, leading to a heightened prevalence of mental distress. This study aims to investigate the symptom network of stress, burnout, anxiety, depression (SBAD) and adverse personal outcomes in this cohort.

METHODS

From October 2020 to April 2022, 994 physicians were recruited across China through snowball sampling. Stress, burnout, anxiety and depression were assessed using the 10-item Perceived Stress Scale, a two-item burnout questionnaire, Generalized Anxiety Disorder Scale-7 and the Patient Health Questionnaire-9, respectively. Data on adverse personal outcomes (low quality of life [QOL] and suicidal ideation) were collected. We constructed and visualized two networks, calculating expected influence (EI) and bridge EI indices to identify central and bridge symptoms.

RESULTS

In the SBAD network, perceived helplessness was the most central and critical bridge symptom connecting stress and mental distress, with emotional exhaustion identified as the secondary bridge symptom. Perceived helplessness, perceived self-efficacy and emotional exhaustion exhibited the highest negative correlations with QOL. Worthless (PHQ6) and motor (PHQ8) symptoms were strongly correlated with suicidal ideation. The estimated SBAD network showed excellent stability and accuracy.

CONCLUSIONS

Our study emphasizes that perceived helplessness may be a high-priority target for preventing and intervening in mental distress and improving QOL among residents. Burnout transcends workplace problems and is widely connected to depression, anxiety and QOL. Implementing early detection and intervention measures at three levels-the individual physician, health system and professional colleges, and external regulators-is crucial for preventing and alleviating stress and mental distress among residents.

Are the functions of non-suicidal self-injury associated with its persistence and suicide risk in university students? Insights from a network analysis

Background

To date, a number of intra- and interpersonal functions of non-suicidal self-injury (NSSI) have been identified. Yet, their association with persistence of NSSI and suicide risk remains unknown. The study aimed to investigate which functions of NSSI are associated with its persistence and suicide risk in university students using a network analysis.

Methods

Altogether, 830 university students reporting a lifetime history of NSSI were enrolled. The persistence of NSSI was defined as its presence over preceding 12 months.

Results

Persistent NSSI was directly connected to the nodes representing two functions of NSSI: affect regulation and self-punishment. Suicide risk was directly connected to the anti-suicide function of NSSI. The shortest pathway from persistent NSSI to suicide risk led through depressive symptoms. Other likely pathways (three mediating nodes) led through the functions of NSSI (affect regulation or self-punishment, anti-dissociation, and anti-suicide). Depressive symptoms had the highest centrality. However, it did not differ significantly compared to some functions of NSSI (marking distress, anti-dissociation, toughness, and affect regulation).

Discussion

In university students, persistent NSSI might be directly associated with its functions related to affect regulation and self-punishment, while suicide risk might be directly associated with the anti-suicide function. The observations posit a role of intrapersonal functions in shaping the outcomes of NSSI. Depressive symptoms and some NSSI functions might be the most promising targets for interventions in this population.

Network analysis to prioritize issues for intervention to improve the health-related quality of life of people with HIV in Spain

OBJECTIVES

The objective is to assess the interconnectedness of a network of health-related quality of life (HRQoL) variables among people with HIV (PHIV) to identify key areas for which clinical interventions could improve HRQoL for this population.

METHODS

Between 2021 and 2023, we carried out a cross-sectional study within the Spanish CoRIS cohort. We conducted a weighted and undirected network analysis, which examines complex patterns of relationships and interconnections between variables, to assess a network of eight HRQoL dimensions from the validated Clinic Screening Tool for HIV (CST-HIV): anticipated stigma, psychological distress, sexuality, social support, material deprivation, sleep and fatigue, cognitive problems and physical symptoms.

RESULTS

A total of 347 participants, predominantly male (93.1%), currently working (79.0%), self-reported homosexual (72.6%) and college-educated (53.9%), were included in the study. Psychological distress showed the highest centrality in the network, indicating its strong connections with sleep and fatigue, cognitive problems and social support within the HRQoL network.

CONCLUSIONS

Psychological distress, sleep and fatigue, cognitive issues and social support were identified as key factors in an HRQoL network, indicating that interventions focused on these areas could significantly enhance overall well-being.

The interplay among burnout, and symptoms of depression, anxiety, and stress in Chinese clinical therapists

Burnout, depression, anxiety, and stress negatively impact the well-being and retention of healthcare professionals. The interplay of these symptoms is understudied. Utilizing network analysis, this study examined the interrelationships among these symptom clusters in clinical therapists in China. An anonymous survey was conducted among clinical therapists from 41 tertiary psychiatric hospitals in China. Burnout was assessed using the Maslach Burnout Inventory-Human Service Survey (MBI-HSS), while symptoms of depression, anxiety, and stress were assessed via the Depression, Anxiety, and Stress Scale-21 (DASS-21). Analyses were performed to identify central symptoms and bridge symptoms of this network. A total of 419 participants were included in this survey. The prevalence rate for burnout, depression, anxiety, and stress was 19.8%, 22.2%, 17.9%, and 8.6%, respectively. Network analysis indicated that stress symptoms had the highest expected influence values, closely followed by emotional exhaustion from MBI-HSS. Notably, emotional exhaustion emerged as the strongest bridge of expected influence. The stability of the expected influence and bridge expected influence was robust, with coefficients at 0.75. The study's findings underscore the importance of recognizing the central symptoms and bridge symptoms, which could lead to more effective early detection and intervention for burnout, depression, anxiety, and stress among clinical therapists.

Deciphering the interplay between psychopathological symptoms, sensorimotor, cognitive and global functioning: a transdiagnostic network analysis

BACKGROUND

Understanding the relationship between psychopathology and major domains of human neurobehavioral functioning may identify new transdiagnostic treatment targets. However, studies examining the interrelationship between psychopathological symptoms, sensorimotor, cognitive, and global functioning in a transdiagnostic sample are lacking. We hypothesized a close relationship between sensorimotor and cognitive functioning in a transdiagnostic patient sample.

METHODS

We applied network analysis and community detection methods to examine the interplay and centrality [expected influence (EI) and strength] between psychopathological symptoms, sensorimotor, cognitive, and global functioning in a transdiagnostic sample consisting of 174 schizophrenia spectrum (SSD) and 38 mood disorder (MOD) patients. All patients (n = 212) were examined with the Positive and Negative Syndrome Scale (PANSS), the Heidelberg Neurological Soft Signs Scale (NSS), the Global Assessment of Functioning (GAF), and the Brief Cognitive Assessment Tool for Schizophrenia consisted of trail making test B (TMT-B), category fluency (CF) and digit symbol substitution test (DSST).

RESULTS

NSS showed closer connections with TMT-B, CF, and DSST than with GAF and PANSS. DSST, PANSS general, and NSS motor coordination scores showed the highest EI. Sensory integration, DSST, and CF showed the highest strength.

CONCLUSIONS

The close connection between sensorimotor and cognitive impairment as well as the high centrality of sensorimotor symptoms suggests that both domains share aspects of SSD and MOD pathophysiology. But, because the majority of the study population was diagnosed with SSD, the question as to whether sensorimotor symptoms are really a transdiagnostic therapeutic target needs to be examined in future studies including more balanced diagnostic groups.

At-home, telehealth-supported ketamine treatment for depression: Findings from longitudinal, machine learning and symptom network analysis of real-world data

BACKGROUND

Improving safe and effective access to ketamine therapy is of high priority given the growing burden of mental illness. Telehealth-supported administration of sublingual ketamine is being explored toward this goal.

METHODS

In this longitudinal study, moderately-to-severely depressed patients received four doses of ketamine at home over four weeks within a supportive digital health context. Treatment was structured to resemble methods of therapeutic psychedelic trials. Patients receiving a second course of treatment were also examined. Symptoms were assessed using the Patient Health Questionnaire (PHQ-9) for depression. We conducted preregistered machine learning and symptom network analyses to investigate outcomes (osf.io/v2rpx).

RESULTS

A sample of 11,441 patients was analyzed, demonstrating a modal antidepressant response from both non-severe (n = 6384, 55.8 %) and severe (n = 2070, 18.1 %) baseline depression levels. Adverse events were detected in 3.0-4.8 % of participants and predominantly neurologic or psychiatric in nature. A second course of treatment helped extend improvements in patients who responded favorably to initial treatment. Improvement was most strongly predicted by lower depression scores and age at baseline. Symptoms of Depressed mood and Anhedonia sustained depression despite ongoing treatment.

LIMITATIONS

This study was limited by the absence of comparison or control groups and lack of a fixed-dose procedure for ketamine administration.

CONCLUSIONS

At-home, telehealth-supported ketamine administration was largely safe, well-tolerated, and associated with improvement in patients with depression. Strategies for combining psychedelic-oriented therapies with rigorous telehealth models, as explored here, may uniquely address barriers to mental health treatment.

Risky alcohol use during youth: Impact on emotion, cognitive networks, and resting-state EEG activity

The identification of the risk factors of alcohol consumption in youths is crucial for early interventions focused on reducing harmful alcohol use. In our study, 82 college students (40 healthy control (CO group) and 42 with risky alcohol use (RAU group) determined by AUDIT questionnaire) between the ages of 18 and 25 years underwent a comprehensive neuropsychological assessment covering emotional and cognitive functioning. Their resting-state activity was also recorded with an EEG for 10 min with their eyes open (EO) and 10 min with their eyes closed (EC) and analyzed using the Fitting Oscillations & One-Over-F (FOOOF) paradigm. After adjusting for sex, those in the RAU group had higher emotional dysregulation and impulsivity traits. The RAU girls presented more emotional regulation problems, such as dysregulation and negative urgency compared with the RAU boys. The RAU youths had significantly worse functioning in several cognitive domains, such as sustained attention, verbal memory, and executive functions. Cognitive network analysis revealed a different pattern of connections in each group showing that in the RAU group, the verbal memory domain had the highest connection with other cognitive functions. The EEG analyses did not reveal any significant differences between the CO and the RAU groups. However, we observed only in the EO condition that boys the from the RAU group displayed a higher theta/beta ratio than the RAU girls, whereas these differences were not observed within the CO group. Our findings highlight the need to explore more deeply the emotional, cognitive and brain changes underlying the RAU in young people.

Psychotic-like experiences predict the perceived intent to seek treatment: A network perspective

We aimed to investigate as to whether psychotic-like experiences (PLEs) predict the perceived intent to seek treatment. Our secondary aim was to explore which PLEs predict the perceived need to seek treatment using a network analysis. The study was based on a community sample of individuals with a negative history of psychiatric treatment. At baseline, they completed questionnaires recording the presence of PLEs, depressive, and anxiety symptoms. After 6-7 months, they were reassessed with respect to the perceived intent to seek treatment. A total of 1100 individuals were assessed at baseline (aged 27.1 ± 5.1 years, 48.6 % males). The follow-up assessment was completed by 581 individuals (52.8 %). Higher baseline levels of PLEs were associated with a greater intent to seek treatment at the follow-up before (Beta = 0.289, p < 0.001) and after adjustment for sociodemographic characteristics, depressive and anxiety symptoms (Beta = 0.128, p = 0.004). A network analysis demonstrated that the intent to seek treatment was connected to five nodes of PLEs including "déjà vu experiences" (weight = 0.046), "problems in differentiating reality and imagination" (weight = 0.103), "a lack of control over own ideas or thoughts" (weight = 0.077), "being distracted by distant sounds" (weight = 0.105), and "paranoid thoughts" (weight = 0.145). Findings from the present study indicate that PLEs might contribute to help-seeking behaviors regardless of co-occurring depressive and anxiety symptoms. However, specific PLEs may differ with respect to their effects on the perceived intent to seek treatment.

The structure of depressive symptoms using CES-D and ZDS in outpatients in a general hospital in Lima, Peru

BACKGROUND

Depression represents one of the leading causes of disability due to illness worldwide. Previous studies have demonstrated the significant heterogeneity of the diagnosis of depression, making it necessary to develop new diagnostic approaches. Network analysis is a perspective that considers symptoms as constituents of the psychiatric disorder itself. The objective was to determine the structure of depressive symptoms using the CES-D and ZDS depression scales.

METHODS

Cross-sectional study of secondary analysis of 194 patients using the CES-D and ZDS scales. Correlation matrices and regularised partial correlation networks were constructed from the database. Centrality measures were estimated, and a network stability analysis was performed.

RESULTS

On the CES-D scale, the most central item was "Sad"; while on the ZDS scale, the most central items were "Sad" and "Live". On the CES-D scale, the connection between "Enjoy" and "Happy" was the strongest. On the ZDS scale, the strongest connection was between the items "Live" with "Useful". The item "Morning" was the least connected on the ZDS.

CONCLUSIONS

The most central symptom from the CES-D scale was sadness, while from the ZDS scale, was sadness and anhedonia.

Insomnia moderates the association between psychotic-like experiences and suicidal ideation in a non-clinical population: a network analysis

Psychotic-like experiences (PLEs) have been associated with poor sleep quality and increased suicide risk. However, the association between PLEs, insomnia and suicide risk has not been thoroughly investigated in prior studies. In this study, we aimed to explore as to whether insomnia moderates the association between PLEs and suicidal ideation. The study was performed in 4203 young adults (aged 18-35 years, 63.8% females). Data were collected using self-reports. Moderation analysis demonstrated that PLEs are associated with higher levels of the current suicidal ideation only in participants with greater severity of insomnia (B = 0.003, p < 0.001). This analysis included age, gender, education, occupation and depressive symptoms as covariates. Moreover, the network analysis demonstrated that nodes representing PLEs are connected to the node of current suicidal ideation only in participants with greater severity of insomnia. The nodes of PLEs connected to the current suicidal ideation node captured PLEs representing deja vu experiences, auditory hallucination-like experiences and paranoia (edge weights between 0.011 and 0.083). Furthermore, nodes representing PLEs were the three most central nodes in the network analysis of individuals with higher levels of insomnia (strength centrality between 0.96 and 1.10). In turn, the three most central nodes were represented by depressive symptoms in the network analysis of individuals with lower levels of insomnia (strength centrality between 0.67 and 0.79). Findings from this study indicate that insomnia might be an important risk factor of suicide in people with PLEs, especially those reporting deja vu experiences, auditory hallucination-like experiences and paranoia.

Modelling the effects of the exposome score within the extended psychosis phenotype

It has been reported that cumulative measures of risk factors for psychosis might help to predict its development. However, it remains unknown as to whether these measures are also associated with the extended psychosis phenotype that refers to a continuum of features bridging subclinical symptoms with clinically relevant outcomes. In this study, we aimed to investigate the association of the exposome score (ES) with psychosis risk in a non-clinical population. A total of 1100 non-clinical adults (aged 18-35 years, 51.4% females) with a negative history of psychiatric treatment were recruited. The Prodromal Questionnaire-16 (PQ-16) was used to screen for psychosis risk. Self-reports were used to record environmental exposures. The ES was significantly higher in participants with the positive PQ-16 screening. Specifically, the prevalence of obstetric complications, non-right handedness, all categories of childhood trauma, and problematic cannabis use was significantly higher in this group of participants. A network analysis demonstrated that the ES was directly connected not only to items representing psychotic experiences ("paranoid thoughts", "a lack of control over own ideas or thoughts", "thought echo", and "being distracted by distant sounds") but also those covering depressive or anxiety symptoms ("uninterested in things used to enjoy" and "feeling anxious when meeting people for the first time"). In conclusion, the ES is associated with the extended psychosis phenotype, suggesting its potential to identify individuals who may benefit from further psychosis risk assessment. The ES appears to contribute to non-specific psychopathology, which may, in some cases, progress to psychosis.

Suicidal behaviour in adolescents: A network analysis

OBJECTIVE

Suicidal behaviour has not yet been analysed from a network approach in adolescent samples. It is imperative to incorporate new psychological models to understand suicidal behaviour from a different perspective. The main objective of this work was twofold: (a) to examine suicidal behaviour through network analysis and (b) to estimate the psychological network between suicidal behaviour and protective and risk factors in school-age adolescents.

METHOD

Participants were 443 students (M=14.3 years; SD=0.53; 51.2% female) selected incidentally from different schools. Different instruments were administered to assess suicidal behaviour, emotional and behavioural difficulties, prosocial behaviour, subjective well-being, emotional intelligence, self-esteem, depressive symptomatology, empathy, positive and negative affect, and emotional regulation.

RESULTS

The resulting network of suicidal behaviour was strongly interconnected. The most central node in terms of strength and expected influence was "Consider taking your own life". In the estimated psychological network of suicidal behaviour and risk and protective factors, the nodes with the highest strength were depressive symptomatology, positive affect, and empathic concern. The most influential nodes were those related to emotional intelligence abilities. Suicidal behaviour was positively connected to depression symptoms and negative affect, and negatively connected to self-esteem and positive affect. The results of the stability analysis indicated that the networks were accurately estimated.

CONCLUSIONS

Suicidal behaviour can be conceptualized as a dynamic, complex system of cognitive, emotional, and affective characteristics. The new psychopathological and psychometric models allow us to analyse and understand human behaviour and mental health problems from a new perspective, suggesting new forms of conceptualization, evaluation, intervention, and prevention.

Assessment of interrelationships between cognitive performance, symptomatic manifestation and social functioning in the acute and clinical stability phase of schizophrenia: insights from a network analysis

BACKGROUND

It has been shown that various aspects of clinical manifestation of schizophrenia are strongly related to social functioning. However, it remains unknown as to whether similar factors predict social functioning at various stages of psychosis. Therefore, the present study aimed to compare the effects of interconnections between various domains of psychopathology and neurocognition on social functioning in people during acute phase of psychosis and those during remission of positive and disorganization symptoms using a network analysis.

METHODS

Two independent samples of individuals with schizophrenia spectrum disorders were enrolled (89 inpatients during acute phase and 90 outpatients during remission of positive and disorganization symptoms). Clinical assessment covered the levels of functioning, positive, negative and depressive symptoms. Cognition was recorded using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). Data were analyzed by means of the network analysis. Two separate networks of clinical symptoms, social functioning, and cognition (i.e., in patients during acute phase of psychosis and remitted outpatients with schizophrenia) were analyzed and compared with respect to the measures of centrality (betweenness, closeness, strength, and expected influence) and edge weights.

RESULTS

In both networks, the majority of centrality metrics (expected influence, strength, and closeness) had the highest values for the RBANS scores of attention (the sum of scores from two tasks, i.e., digit span and coding) and immediate memory. In both networks, social functioning was directly connected to positive, negative and depressive symptoms as well as the RBANS scores of attention and language. Additionally, in remitted patients, social functioning was directly connected to the RBANS score of immediate memory.

CONCLUSIONS

Findings from the present study indicate the central role of cognitive deficits, especially those related to attention, processing speed, working and immediate memory in shaping functional impairments regardless of schizophrenia phase. Therapeutic interventions that aim to improve functional capacity need to target these domains of neurocognitive performance.

Understanding pathways from narcissistic grandiosity to psychotic-like experiences: Insights from the network analysis

It has been shown that narcissistic grandiosity and psychotic-like experiences (PLEs) may share the common psychological mechanisms, including impairments of metacognition, social cognition, cognitive biases, emotion regulation through fantasizing and dissociation. However, it remains unknown as to whether these mechanisms are associated with the occurrence of PLEs in people with narcissistic grandiosity. Therefore, in the present study, we approached a network analysis in order to investigate pathways from narcissistic grandiosity to PLEs taking into consideration the mediating effect of common psychological mechanisms. The study was based on a non-clinical sample of 1647 individuals, aged 18-35 years. Data were collected through self-reports administered in the online survey. There were no direct connections between narcissistic grandiosity and PLEs. However, four pathways connecting narcissistic grandiosity and PLEs through the effect of one mediating psychological mechanism were identified. These mechanisms covered external attribution biases, the need to control thoughts, social cognition, and emotion regulation through fantasizing. Among them, the shortest pathway led through the effects of external attribution biases. Age, gender, education and lifetime history of psychiatric treatment were included as covariates in a network analysis. Findings from this study indicate that higher levels of external attributions, the need to control thoughts, impairments of social cognition, and emotion regulation strategies based on fantasizing might be associated with the development of PLEs in people showing narcissistic grandiosity. These observations indicate potential targets for therapeutic approaches that aim to reduce the risk of developing comorbid psychopathology in people with grandiose narcissism traits.

Roles for Alexithymia, Emotion Dysregulation and Personality Features in Gambling Disorder: A Network Analysis

Although there is a growing interest in exploring the specific role of both emotional regulation processes and alexithymia in gambling disorder (GD), evidence remains scarce. In order to delve deeper into the complex interactions between these factors, the present study aimed at exploring a network of the core GD-related features, including GD symptomatology and severity, emotion dysregulation, alexithymia, and personality features. The sample included N = 739 treatment-seeking patients with GD (691 men and 48 women), aged 18-78 years (mean age = 39.2, SD = 13.2). The DSM-5 diagnostic criteria were assessed in, and the South Oaks Gambling Screen, Difficulties in Emotion Regulation Scale (DERS), and Temperament and Character Inventory-Revised were administered to, participants. A network analysis was conducted to reveal inter-relationships between these elements. Three nodes related to emotion dysregulation showed the most critical position in the whole network of the present study: "lack of emotional awareness", "non-acceptance of emotional responses", and "difficulties engaging in goal-directed behaviors". When analyzing emotional dysregulation using the different DERS subscales, two independent clusters were identified. One cluster encompassed alexithymia dimensions ("lack of awareness" and "lack of clarity"), while the other cluster included all other emotion-dysregulation dimensions. Identification of the emotion-dysregulation- and GD-related features with the highest centrality/linkage may be particularly useful for developing valid measurement tools and precise management plans for individuals with GD.

Dimensions of psychopathology associated with psychotic-like experiences: Findings from the network analysis in a nonclinical sample

BACKGROUND

Psychotic-like experiences (PLEs) are associated with a variety of psychopathological symptoms. However, it remains unknown which dimensions of psychopathology are most closely related to the occurrence of PLEs. In this study, we aimed to analyze the association of PLEs with various domains of psychopathology.

METHODS

A total of 1100 nonclinical adults (aged 18-35 years, 51.4% females) with a negative history of psychiatric treatment were surveyed. Assessment of psychopathology was performed using self-reports. Symptoms associated with PLEs were explored as continuous variables and based on clinically relevant thresholds using two separate network analyses.

RESULTS

In both network analyses, PLEs were directly connected to obsessive-compulsive disorder (OCD) symptoms, manic symptoms, depressive symptoms, and attention-deficit/hyperactivity disorder (ADHD) symptoms. Anxiety symptoms were associated with PLEs only in the network based on threshold scores. Importantly, edge weight for the connection of PLEs and OCD symptoms was significantly higher compared to edge weights of all other direct connections of PLEs with psychopathology in both networks. Edge weight for the connection between PLEs and manic symptoms was significantly higher compared to edge weights for direct connections of PLEs with depressive and ADHD symptoms in the network based on continuous scores of psychopathological symptoms. Edge weights of direct connections of PLEs with depressive, anxiety, and ADHD symptoms did not differ significantly in both networks.

CONCLUSIONS

Our findings indicate that PLEs are associated with multiple domains of psychopathology. However, these phenomena are most strongly associated with OCD symptoms regardless of their severity threshold.

Analysis of Protective Factors in Schoolchildren in England Using the Dual-factor Model of Mental Health

The dual-factor approach to mental health was employed to explore levels and interrelations of protective factors associated with resilience in a dataset of 30,841 schoolchildren aged 11-14 in England. ANOVA was used to contrast levels of protective factors between groups (combinations of higher/lower psychopathology and higher/lower wellbeing) and network analysis to explore protective factor interrelations. Levels of protective factors tended to be highest for those who had higher wellbeing and lower psychopathology (termed 'complete mental health'). Those with lower levels of protective factors were split between two subpopulations: having lower wellbeing and higher psychopathology (termed 'troubled'), and having lower wellbeing and lower psychopathology (termed 'vulnerable'). Analysis of the protective factor networks revealed that the four subpopulations of the model were distinguished by both their overall structure and individual node connectivity (the 'complete mental health' subpopulation demonstrated the greatest connectivity), though two were similar: those with higher wellbeing and higher psychopathology (termed 'symptomatic but content') and lower wellbeing and higher psychopathology ('troubled'). The results indicate that while 'vulnerable' and 'symptomatic but content' may be hard to discriminate conceptually, the former may reflect a lower capacity to cope during periods of adversity (i.e., show resilience). Overall, the results encourage a holistic approach to mental health screening, particularly as children with lower wellbeing had lower levels of the protective factors, regardless of their level of psychopathology. Moreover, interventions to improve protective factors associated with positive development in stressed environments may therefore have a greater impact on improving wellbeing than decreasing symptoms of psychopathology.

Baseline depressive symptoms as predictors of efficacy and tolerability of the treatment with duloxetine: a network analysis approach

Introduction

Depression is considered one of the most prevalent and burdensome mental disorders. Only 50-60% of patients respond to first-line treatment. Individuals with depression might benefit from personalized treatment, tailored to the individual needs of the patient. In this study, we aimed to explore the baseline characteristics of depressive symptoms associated with a good response to duloxetine treatment using a network analysis. Additionally, the relationship between baseline psychopathological symptoms and treatment tolerability was assessed.

Methods

The sample of 88 drug-free patients with active depressive episode, who started monotherapy with increasing doses of duloxetine were evaluated. The Hamilton Depression Rating Scale (HAM-D) was used to assess depression severity and the UKU side effect rating scale to monitor adverse drug reactions (ADRs). A network analysis that explored interactions of specific baseline depression symptoms, treatment efficacy and tolerability was performed.

Results

The node representing duloxetine treatment efficacy was directly connected to the nodes representing the first HAM-D item ("depressed mood") (edge weight = 0.191) and duloxetine dose (edge weight = 0.144). The node representing ADRs was directly connected to only one node representing the baseline score of the HAM-D anxiety (psychic) item (edge weight = 0.263).

Discussion

Our findings indicate that individuals with depression presenting greater levels of depressed mood and lower levels of anxiety symptoms might better respond to the treatment with duloxetine in terms of efficacy and tolerability.

Unraveling the complexity of associations between a history of childhood trauma, psychotic-like experiences, depression and non-suicidal self-injury: A network analysis

BACKGROUND

Several studies have reported the association of psychotic-like experiences (PLEs) with non-suicidal self-injury (NSSI). It has been hypothesized that both constructs might share overlapping backgrounds. This study aimed to investigate the relationships between childhood trauma, depression, PLEs and lifetime characteristics of NSSI.

METHODS

Participants included individuals aged 18-35 years who had a negative history of psychiatric treatment. They were surveyed through the computer-assisted web interview. A network analysis was performed.

RESULTS

A total of 4203 non-clinical adults (63.8 % females) were enrolled. The characteristics of NSSI and a history of childhood sexual abuse were the most central nodes in the network. A history of childhood sexual abuse was the only category of childhood trauma that was directly connected to the characteristics of NSSI (i.e., longer lifetime duration of NSSI). The shortest pathways from other categories of childhood trauma (emotional abuse, emotional neglect and bullying) were connected to the lifetime characteristics through the effects of sexual abuse. However, other pathways were also possible and converged on nodes representing persecutory thoughts, déjàvu experiences, psychomotor retardation/agitation and suicidal ideation. These psychopathological symptoms were the only nodes directly connected to the characteristics of NSSI (i.e., lifetime duration and a history of severe NSSI).

LIMITATIONS

The main limitations include the use of a non-clinical sample and cross-sectional design.

CONCLUSIONS

Our findings do not support the hypothesis that PLEs and NSSI might be associated due to shared correlates. In other words, the associations of childhood trauma and PLEs with NSSI might be independent.

A Cross-Country Network Analysis of Resilience Systems in Young Adults

Multisystemic resilience has been conceptualised as involving a constellation of protective factors which operate at different levels to promote adaptation and thriving despite experiences of adversity. We used network modelling to discover how protective factors at two different systemic levels (intrapersonal strengths and social-ecological resources) interrelate, drawing on survey data from 5283 emerging adults (M = 24.53 years; 52% female) in Brazil, China, Indonesia, Russia, Thailand, the US and Vietnam. Results indicated that the level of connectivity within and between protective factor levels was similar between the countries, but that there was substantial variation in the specific interrelations among protective factors (both within and between levels), including the presence of some country-specific negative interrelations between protective factors at different levels. The findings support the importance of cultural context in studies of resilience, with implications for the development of appropriate resilience-building interventions for this age group.

Repetitive Negative Thinking as a Central Node Between Psychopathological Domains: a Network Analysis

Repetitive negative thinking (RNT) may be defined as a reiterative, passive and uncontrollable thinking process. RNT has been recognized as a transdiagnostic phenomenon associated with the onset and maintenance of several clinical conditions including depression, generalised anxiety, psychosis and insomnia. We aimed to estimate a network model of mutual associations between RNT and the aforementioned indicators whilst controlling for other well-established transdiagnostic factors (i.e. perceived stress, loneliness). A total of 324 participants (Mage = 25.26 years, SD = 6.89; 69.3% females) completed a cross-sectional survey of self-report questionnaires. A Gaussian graphical model was estimated using the graphical LASSO in combination with the extended Bayesian information criterion. We found a dense network in which RNT exhibited substantial connections with the majority of the psychopathological domains. The centrality indices confirmed that RNT was one of the most important nodes in the network. Moreover, the estimated network showed satisfactory accuracy and stability. Findings emphasized RNT as a potentially good therapeutic target for psychopathology prevention and treatment protocols.

Spanish normative data of the Strengths and Difficulties Questionnaire in a community-based sample of adolescents

Background/Objective: The Strengths and Difficulties Questionnaire self-report (SDQ-S) has been extensively used to assess mental health problems among children and adolescents. However, previous research has identified substantial age and country variation on its psychometric properties. The aim of this study was three-fold: i) to evaluate internal structure and measurement invariance of the Spanish version of the SDQ; ii) to analyze age and gender-specific effects on the SDQ subscales; and iii) to provide Spanish normative data for the entire age range of adolescence. Method: Data were derived from two representative samples of adolescents aged 14 to 19 years old, selected by stratified random cluster sampling years (N = 3378). Results: The reliability of the Total difficulties score was satisfactory, but some subscales showed lower levels of internal consistency. Confirmatory factor analysis supported the original five-factor model. Finally, results revealed that SDQ scores were influenced by the gender and the age of participants; thus, the normative banding scores and cut-off values were provided accordingly. Conclusions: This study validates the Spanish SDQ-S for the entire age range of adolescence. However, more cross-country and cross-age research is needed to better understand the inconsistent findings on SDQ reliability.

Network and Exploratory Factorial Analysis of the Depression Clinical Evaluation Test

Depression is a highly prevalent disorder with a wide range of symptomatology. Existing instruments for its assessment have only a few items for each factor. The Depression Clinical Evaluation Test (DCET) has been created to cover all depression symptoms at different times (month, year, and always) with several items for each facet. The content validity of this instrument has been judged by experts and, in this paper, we analyse its factorial structure and make a network analysis of it. The test (196 items) was administered to 602 adults without psychological disorders (M_age = 24.7, SD = 8.38, 72% women) both online and on paper. A network was estimated for each time point, using the absolute minimum selection and shrinkage operator. From the factor analysis, 12 factors were established for month, 11 for year, and 10 for always, leaving 94 items. The network analysis showed that the facets of depressive mood, anhedonia, and thoughts of Death, are central to all the estimated networks. The DCET is proposed as a valid and reliable multifactorial instrument to detect the variability of depressive symptoms in adults, guaranteeing its diagnostic usefulness.

Searching for bridges between psychopathology and real-world functioning in first-episode psychosis: A network analysis from the OPTiMiSE trial

BACKGROUND

Network analysis has been used to explore the interplay between psychopathology and functioning in psychosis, but no study has used dedicated statistical techniques to focus on the bridge symptoms connecting these domains. The current study aims to estimate the network of depressive, negative, and positive symptoms, general psychopathology, and real-world functioning in people with first-episode schizophrenia or schizophreniform disorder, focusing on bridge nodes.

METHODS

Baseline data from the OPTiMiSE trial were analyzed. The sample included 446 participants (age 40.0 ± 10.9 years, 70% males). The network was estimated with a Gaussian graphical model, using scores on individual items of the positive and negative syndrome scale (PANSS), the Calgary depression scale for schizophrenia, and the personal and social performance scale. Stability, strength centrality, expected influence (EI), predictability, and bridge centrality statistics were computed. The top 20% scoring nodes on bridge strength were selected as bridge nodes.

RESULTS

Nodes from different rating scales assessing similar psychopathological and functioning constructs tended to cluster together in the estimated network. The most central nodes (EI) were Delusions, Emotional Withdrawal, Depression, and Depressed Mood. Bridge nodes included Depression, Conceptual Disorganization, Active Social Avoidance, Delusions, Stereotyped Thinking, Poor Impulse Control, Guilty Feelings, Unusual Thought Content, and Hostility. Most of the bridge nodes belonged to the general psychopathology subscale of the PANSS. Depression (G6) was the bridge node with the highest value.

CONCLUSIONS

The current study provides novel insights for understanding the complex phenotype of psychotic disorders and the mechanisms underlying the development and maintenance of comorbidity and functional impairment after psychosis onset.

Exploring the Level of Post Traumatic Growth in Kidney Transplant Recipients via Network Analysis

Although kidney transplant can lead to psychiatric disorders, psychosocial syndromes and demoralization, a positive post-traumatic growth (PTG) can occur in kidney transplant recipients (KTRs). However, the PTG-Inventory (PTGI), a reliable tool to measure PTG is scarcely used to explore the effect of this stressful event in KTRs. Thus, the purpose of our study was to assess the level of PTG and its correlation with demoralization, physical and emotional symptoms or problems via network analysis in KTRs. Additionally, we aimed at exploring the association of PTG with psychiatric diagnoses, Diagnostic Criteria for Psychosomatic Research (DCPR) conditions, and medical variables. A total of 134 KTRs were tested using MINI International Neuropsychiatric Interview 6.0 (MINI 6.0), DCPR interview, PTGI, Edmonton Symptom Assessment System (ESAS), Canadian Problem Checklist (CPC) and Demoralization scale (DS-IT). PTGI was used to investigate the positive psychological experience of patients after KT. It consists of 21 items divided in five factors. Routine biochemistry, immunosuppressive agents, socio-demographic and clinical data were collected. A symptom network analysis was conducted among PTGI, ESAS and DS-IT. Mean score of PTGI total of sample was 52.81 ± 19.81 with higher scores in women (58.53 ± 21.57) than in men (50.04 ± 18.39) (p < 0.05). PTGI-Relating to Others (16.50 ± 7.99) sub-score was markedly higher than other PTGI factor sub-scores. KTRs with DCPR-alexithymia or International Classification of Diseases, tenth revision (ICD-10) anxiety disorders diagnosis had lower PTGI total score and higher PTGI-Personal Strength sub-score, respectively (p < 0.05). The network analysis identified two communities: PTGI and ESAS with DS-IT. DS-IT Disheartenment, DS-IT Hopelessness and PTGI Relating to Others were the most central items in the network. After 1000 bootstrap procedures, the Exploratory graph analysis revealed the presence of a median of two communities in the network in 97.5% of the bootstrap iterations. A more extensive use of PTGI should be encouraged to identify and enhance the positive psychological changes after KT.

The network structure of core depressive symptom-domains in major depressive disorder following antidepressant treatment: a randomized clinical trial

BACKGROUND

Network analysis (NA) conceptualizes psychiatric disorders as complex dynamic systems of mutually interacting symptoms. Major depressive disorder (MDD) is a heterogeneous clinical condition, and very few studies to date have assessed putative changes in its psychopathological network structure in response to antidepressant (AD) treatment.

METHODS

In this randomized trial with adult depressed outpatients (n = 151), we estimated Gaussian graphical models among nine core MDD symptom-domains before and after 8 weeks of treatment with either escitalopram or desvenlafaxine. Networks were examined with the measures of cross-sectional and longitudinal structure and connectivity, centrality and predictability as well as stability and accuracy.

RESULTS

At baseline, the most connected MDD symptom-domains were fatigue-cognitive disturbance, whereas at week 8 they were depressed mood-suicidality. Overall, the most central MDD symptom-domains at baseline and week 8 were, respectively, fatigue and depressed mood; in contrast, the most peripheral symptom-domain across both timepoints was appetite/weight disturbance. Furthermore, the psychopathological network at week 8 was significantly more interconnected than at baseline, and they were also structurally dissimilar.

CONCLUSION

Our findings highlight the utility of focusing on the dynamic interaction between depressive symptoms to better understand how the treatment with ADs unfolds over time. In addition, depressed mood, fatigue, and cognitive/psychomotor disturbance seem to be central MDD symptoms that may be viable targets for novel, focused therapeutic interventions.

Exploratory Graph Analysis of the Strengths and Difficulties Questionnaire for Aboriginal and/or Torres Strait Islander Children

In Australia, one of the most frequently used measures for assessing social and emotional well-being (SEWB) of Aboriginal and/or Torres Strait Islander children is the Strengths and Difficulties Questionnaire (SDQ). Previous studies on state-level validations have indicated the problems associated with the original five-factor SDQ structure, especially in the dimension of Peer Problems. The aim of this study was to use a novel psychometric methodology, namely Exploratory Graph Analysis (EGA), to evaluate the dimensionality of caregiver-informant SDQ version 4-10 years at a national level in Australia. Data for this study were retrospectively collected from two independent longitudinal studies: the Longitudinal Study of Indigenous Children (LSIC) and South Australian Aboriginal Birth Cohort (SAABC). The caregiver-informed SDQ version 4-10 years was applied across several study waves, including more than 4,000 responses. To conduct EGA, Gaussian graphical models (GGMs) were estimated using the Least Absolute Shrinkage and Selection Operator. About 2,500 bootstrap samples were also employed to investigate dimensions and item stability. The findings indicated robust evidence against the construct validity of the original five-factor SDQ structure. Future studies should conduct a direct external validation of the findings with Aboriginal and/or Torres Strait Islander parents/carers and community groups to develop the guidelines for future use of the instrument among Aboriginal and/or Torres Strait Islander children in Australia.

The analysis of network structure among the depressive symptoms in a clinical sample of children and adolescents

The symptoms of depressive disorder in children and adolescents vary widely and have complex interconnections with each other. This study aimed to identify the network structures among individual depressive symptoms in clinically referred children and adolescents. A total of 464 children and adolescents who visited the outpatient psychiatry clinic in South Korea were enrolled. The Children's Depression Inventory (CDI) was used to assess depressive symptoms. To construct the network structure and estimate the centrality indices among individual symptoms, the Gaussian graphical model was utilized with the tuning parameter to minimize the extended Bayesian information criterion. Among all symptoms, self-hatred had the highest strength centrality, followed by crying and self-deprecation. Among 191 valid edges constituting the CDI symptom network, sadness-crying, school work difficulty-school performance decrement, disobedience-fights, misbehavior-low self-esteem, self-deprecation-self-blame, school dislike-lack of friendship, self-hatred-negative body image, anhedonia-social withdrawal, self-hatred-suicidal ideation, crying-irritability, and sadness-loneliness showed significantly higher weights than the other edges. The present study identified the network structure among depressive symptoms in children and adolescents. Future studies including more symptoms of depression are warranted to provide insights into the underlying mechanisms of child and adolescent depression.

Network structure of psychotic-like experiences in adolescents: Links with risk and protective factors

AIM

The main goal was to analyse the network structure of psychotic-like experiences (PLEs) in a large sample of adolescents. In addition, the network structure between PLEs and putative risk (mental health difficulties, suicidal behaviour, depression symptoms) and protective factors (prosocial behaviour, subjective well-being, self-esteem) for psychosis was analysed.

METHODS

The sample compromised a total of 1790 adolescents (M=15.7 years; SD=1.26), 816 men (45.6%), selected by stratified random cluster sampling. Various tools were used to measure PLEs, general psychopathology, suicide ideation and behaviour, depression symptoms, prosocial behaviour, subjective well-being, and self-esteem. The Gaussian graphical model for continuous variables and Ising model for binary variables were used for network estimation.

RESULTS

The PLEs estimated network was strongly interconnected. Unusual perceptual experiences were among the most central nodes. The average predictability of this network was 16.41%. The PLEs and risk and protective factors estimated network showed a high degree of interconnectedness between PLEs and psychopathology domains. PLEs, behavioural problems, and emotional symptoms were among the most central nodes. The mean predictability of this network was 43.46%. The results of the stability and accuracy analysis indicated that networks were accurately estimated.

CONCLUSIONS

At population level, extended psychosis phenotype can be conceptualized as a network of interacting cognitive, emotional, and behavioural features. The network model allows us to understand psychosis risk, at the same time opening new lines of study in the mental health arena.

Emotional and behavioural difficulties and prosocial behaviour in adolescents: A latent profile analysis

INTRODUCTION

The purpose of this study was to identify homogenous subgroups of adolescents with emotional and behavioural difficulties using latent profile analysis. The relationship between the latent profile classes and socio-emotional and school adjustment was also analysed.

MATERIALS AND METHODS

A total of 1,506 students, 667 men (44.3%) were selected by random cluster sampling. The mean age was 16.15 years (SD=1.36). The instruments used were the Strengths and Difficulties Questionnaire, the Personal Wellbeing Index-School Version, The 10-item Positive and Negative Affect Schedule for Children, the Prodromal Questionnaire Brief, the Paykel Suicide Scale, the Cyberbullying-Brief Questionnaire, the Penn Matrix Reasoning Test, and the school performance assessment.

RESULTS

A total of 7.7% of adolescents obtained risk scores for mental health difficulties. We identified 3 mental health subgroups named: Low risk, Externalizing, and Internalizing. These 3 latent classes demonstrated a differential pattern in terms of socio-emotional adjustment and academic performance.

CONCLUSIONS

To identify and validate risk groups of youths for emotional and behavioural problems allows implementing measures to promote emotional well-being and prevent mental health problems. Future studies should continue to analyse young people with emotional and behavioural problems longitudinally and to incorporate new forms of assessment and intervention.

Beyond Clinical High-Risk State for Psychosis: The Network Structure of Multidimensional Psychosis Liability in Adolescents

OBJECTIVES

The main goal of the present study was to analyze the network structure of schizotypy dimensions in a representative sample of adolescents from the general population. Moreover, the network structure between schizotypy, mental health difficulties, subjective well-being, bipolar-like experiences, suicide ideation and behavior, psychotic-like experiences, positive and negative affect, prosocial behavior, and IQ was analyzed.

METHOD

The study was conducted in a sample of 1,506 students selected by stratified random cluster sampling. The Oviedo Schizotypy Assessment Questionnaire, the Personal Wellbeing Index-School Children, the Paykel Suicide Scale, the Mood Disorder Questionnaire, the Strengths and Difficulties Questionnaire, the Prodromal Questionnaire-Brief, the Positive and Negative Affect Schedule for Children Shortened Version, and the Matrix Reasoning Test were used.

RESULTS

The estimated schizotypy network was interconnected. The most central nodes in terms of standardized Expected Influence (EI) were 'unusual perceptual experiences' and 'paranoid ideation'. Predictability ranged from 8.7% ('physical anhedonia') to 52.7% ('unusual perceptual experiences'). The average predictability was 36.27%, implying that substantial variability remained unexplained. For the multidimensional psychosis liability network predictability values ranged from 9% (estimated IQ) to 74.90% ('psychotic-like experiences'). The average predictability was 43.46%. The results of the stability and accuracy analysis indicated that all networks were accurately estimated.

CONCLUSIONS

The present paper points to the value of conceptualizing psychosis liability as a dynamic complex system of interacting cognitive, emotional, behavioral, and affective characteristics. In addition, provide new insights into the nature of the relationships between schizotypy, as index of psychosis liability, and the role played by risk and protective factors.

The Network Structure of Schizotypal Personality Traits

Elucidating schizotypal traits is important if we are to understand the various manifestations of psychosis spectrum liability and to reliably identify individuals at high risk for psychosis. The present study examined the network structures of (1) 9 schizotypal personality domains and (2) 74 individual schizotypal items, and (3) explored whether networks differed across gender and culture (North America vs China). The study was conducted in a sample of 27001 participants from 12 countries and 21 sites (M age = 22.12; SD = 6.28; 37.5% males). The Schizotypal Personality Questionnaire (SPQ) was used to assess 74 self-report items aggregated in 9 domains. We used network models to estimate conditional dependence relations among variables. In the domain-level network, schizotypal traits were strongly interconnected. Predictability (explained variance of each node) ranged from 31% (odd/magical beliefs) to 55% (constricted affect), with a mean of 43.7%. In the item-level network, variables showed relations both within and across domains, although within-domain associations were generally stronger. The average predictability of SPQ items was 27.8%. The network structures of men and women were similar (r = .74), node centrality was similar across networks (r = .90), as was connectivity (195.59 and 199.70, respectively). North American and Chinese participants networks showed lower similarity in terms of structure (r = 0.44), node centrality (r = 0.56), and connectivity (180.35 and 153.97, respectively). In sum, the present article points to the value of conceptualizing schizotypal personality as a complex system of interacting cognitive, emotional, and affective characteristics.

Comparisons of schizotypal traits across 12 countries: Results from the International Consortium for Schizotypy Research

BACKGROUND

Schizotypal traits are expressions of underlying vulnerability to psychotic disorders which have a potential impact on mental health status, neurocognition, quality of life, and daily functioning. To date, little research has examined epidemiologic landscape of schizotypal traits at the cross-national level. Our aim was to study the expression of schizotypal traits by sex, age, and country in a combined sample gathered from 12 countries.

METHODS

A total of 27,001 participants completed the Schizotypal Personality Questionnaire (SPQ). The mean age of participants was 22.12 (SD=6.28); 37.5% (n=10,126) were males.

RESULTS

Schizotypal traits varied according to sex, age, and country. Females scored higher than males in the positive dimension, whereas males scored higher in the disorganization dimension. By age, a significant decrease in the positive schizotypal traits was observed. Epidemiological expression of schizotypal traits varied by country. Moreover, several interactions by sex, age, and country were found.

CONCLUSIONS

This pattern is similar to those found in patients with psychosis and psychotic-like experiences. These findings provide new insights and the opportunity to explore the phenotypic expression of schizotypal traits at cross-national level.

Mental health difficulties in children and adolescents: The study of the SDQ in the Spanish National Health Survey 2011-2012

The Strengths and Difficulties Questionnaire (SDQ) is a well-known measuring instrument widely used for the assessment of mental health in children and adolescents. Relatively few studies have analysed the factor structure, the measurement invariance, and the internal consistency, including the information function of the SDQ in its parent version. The study included a large sample (N = 3828) from the Spanish National Survey (2016 were male; 52.7%). Mean age was 9.13 (SD = 3.21) with ages ranging from 4 to 14. The level of internal consistency of the scores for the Total difficulties score was 0.84, ranging between 0.75 and 0.78 for the SDQ subscales. Results from the confirmatory factor analysis showed a five-factor model as the most appropriate. Nonetheless, the fit indices were inadequate and different modifications were needed. The hypothesis of measurement invariance of the SDQ scores across gender and educational level was supported. The present study allows us to affirm that the SDQ, parent's version form, appears to be an adequate tool for the screening of emotional and behavioural problems for children and adolescents. Future research should analyse the SDQ at cross-cultural level, incorporating novel psychometric frameworks and new mental health classifications.

Suicidal ideation in a community-derived sample of Spanish adolescents

INTRODUCTION

Suicide is a current public health problem and among the main causes of mortality in adolescents and young adults. The main goal of this study was to analyse suicidal ideation in a representative sample of Spanish adolescents. Specifically, the prevalence rates of suicide ideation, the psychometric properties of the Paykel Suicide Scale (PSS) scores, and the socio-emotional adjustment of adolescents at risk for suicide were analysed.

MATERIAL AND METHODS

The sample consisted of 1,664 participants (M=16.12 years, SD=1.36, range 14-19 years), selected by stratified sampling by clusters. The instruments used were the PSS, the Strengths and Difficulties Questionnaire, the Personal Wellbeing Index-School Children, and the Oviedo Infrequency Scale.

RESULTS

The results showed that 4.1% of the sample indicated that they had tried to commit suicide in the previous year. Statistically significant differences were found according to gender but not according to age in the PSS mean scores. The analysis of the internal structure of the PSS showed that the one-dimensional model presented excellent goodness of fit indexes. This model showed measurement invariance across gender. The reliability of the scores, estimated with ordinal alpha, was 0.93. Participants who reported suicide ideation showed poorer mental health status and lower life satisfaction compared to the non-suicide ideation group.

CONCLUSIONS

Suicidal ideation is present during adolescence and is associated with poor subjective well-being and increased emotional and behavioural problems. PSS seems to show adequate psychometric behaviour to assess suicidal ideation in adolescents. These findings have clear implications, both in health and education systems, to improve the promotion of emotional well-being and prevention of psychological and psychiatric problems in this sector of the population.