Age-related differences in borderline personality disorder symptom networks in a transdiagnostic sample

Distribution of self-reported borderline personality disorder traits symptoms in a large-scale clinical population

Introduction

Borderline Personality Disorder (BPD) traits play a crucial role in the prognosis of psychiatric disorders, as well as in assessing risks associated with negativity and impulsivity. However, there is a lack of data regarding the distribution characteristics of BPD traits and symptoms within clinical populations.

Methods

A total of 3015 participants (1321 males, 1694 females) were consecutively sampled from outpatients at the psychiatric and psycho-counseling clinics at the Shanghai Mental Health Center. BPD symptoms were assessed using a self-reported personality diagnostic questionnaire. Having BPD traits is defined as having five or more positive items in self-reported BPD characteristics. Participants were stratified into male and female groups, age groups, and diagnostic groups (schizophrenia, mood disorders, anxiety disorders). Exploratory factor analysis using principal components analysis was conducted. Three factors were identified: "F1: Affective Instability and Impulsivity", "F2: Interpersonal Unstable and Extreme Reactions", and "F3: Identity Disturbance".

Results

Among 3015 participants, 45.9% of the patients self-reported BPD traits. Comparing of male and female patients, there was no statistically significant difference in the occurrence rate of BPD traits (χ2 = 1.835, p=0.176). However, in terms of symptoms, female patients reported more symptoms than male patients. Female patients also exhibited more pronounced features on F2 compared to male patients (t =-1.972, p=0.049). There is a general decrease in BPD traits, symptoms, and factors with increasing age. Specifically, the proportion of positive BPD traits is approximately halved before the age of 30 and decreases to around one-third after the age of 30. BPD traits were most common in the Mood Disorders group at 55.7%, followed by the Anxiety Disorders group at 44.4%, and Schizophrenia group at 41.5% (χ2 = 38.084, p<0.001).

Discussion

Our study revealed the pervasive presence of BPD traits and symptoms among psychiatric outpatients, exhibiting distinctive distributions across gender, age, and diagnostic categories. These findings emphasize the significance of identifying and addressing BPD pathology in the clinical care of psychiatric outpatients.

Prevalence and network structure of depression, insomnia and suicidality among mental health professionals who recovered from COVID-19: a national survey in China

Psychiatric syndromes are common following recovery from Coronavirus Disease 2019 (COVID-19) infection. This study investigated the prevalence and the network structure of depression, insomnia, and suicidality among mental health professionals (MHPs) who recovered from COVID-19. Depression and insomnia were assessed with the Patient Health Questionnaire (PHQ-9) and Insomnia Severity Index questionnaire (ISI7) respectively. Suicidality items comprising suicidal ideation, suicidal plan and suicidal attempt were evaluated with binary response (no/yes) items. Network analyses with Ising model were conducted to identify the central symptoms of the network and their links to suicidality. A total of 9858 COVID-19 survivors were enrolled in a survey of MHPs. The prevalence of depression and insomnia were 47.10% (95% confidence interval (CI) = 46.09-48.06%) and 36.2% (95%CI = 35.35-37.21%), respectively, while the overall prevalence of suicidality was 7.8% (95%CI = 7.31-8.37%). The key central nodes included "Distress caused by the sleep difficulties" (ISI7) (EI = 1.34), "Interference with daytime functioning" (ISI5) (EI = 1.08), and "Sleep dissatisfaction" (ISI4) (EI = 0.74). "Fatigue" (PHQ4) (Bridge EI = 1.98), "Distress caused by sleep difficulties" (ISI7) (Bridge EI = 1.71), and "Motor Disturbances" (PHQ8) (Bridge EI = 1.67) were important bridge symptoms. The flow network indicated that the edge between the nodes of "Suicidality" (SU) and "Guilt" (PHQ6) showed the strongest connection (Edge Weight= 1.17, followed by "Suicidality" (SU) - "Sad mood" (PHQ2) (Edge Weight = 0.68)). The network analysis results suggest that insomnia symptoms play a critical role in the activation of the insomnia-depression-suicidality network model of COVID-19 survivors, while suicidality is more susceptible to the influence of depressive symptoms. These findings may have implications for developing prevention and intervention strategies for mental health conditions following recovery from COVID-19.

A Longitudinal Network of Borderline-Related Trait Vulnerabilities from Childhood to Adolescence

Early maladaptive traits are predictive of later borderline personality pathology (BPP), but little is known about their dynamic interplay over time. This is an important issue to address, however, as significant differences in the 'clinical weight' of various traits constituting the early BPP trait phenotype may inform the field on important target constructs from an early intervention perspective. Therefore, the current study aims to uncover the complex dependencies between BPP traits across the crucial developmental period of childhood and adolescence, by using longitudinal network analysis. Both between- and within-person networks were constructed to identify how early mother-reported borderline-related traits are connected across a timespan of six years (ntime 1 = 718, Mtime1 = 10.73 years, SDtime1 = 1.39, 55.1% girls). Overall, the temporal network suggested various trait interdependencies, with internalizing traits being particularly influential in the development of the BPP trait network structure. At the same time, externalizing traits likely inhibit the negative effects of these core traits. In addition, results also revealed that internalizing and externalizing clusters of early borderline-related traits are linked through emotional lability. Implications of these findings are discussed in view of the change mechanisms at play and potential targets for early intervention.

Age related differences in symptom networks of overall psychological functioning in a sample of patients diagnosed with anxiety, obsessive compulsive disorder, or posttraumatic stress disorder

Anxiety disorders, obsessive compulsive disorder (OCD), and posttraumatic stress disorder (PTSD) are among the most prevalent mental disorders across the lifespan. Yet, it has been suggested that there are phenomenological differences and differences in treatment outcomes between younger and older adults. There is, however, no consensus about the age that differentiates younger adults from older adults. As such, studies use different cut-off ages that are not well founded theoretically nor empirically. Network tree analysis was used to identify at what age adults differed in their symptom network of psychological functioning in a sample of Dutch patients diagnosed with anxiety disorders, OCD, or PTSD (N = 27,386). The networktree algorithm found a first optimal split at age 30 and a second split at age 50. Results suggest that differences in symptom networks emerge around 30 and 50 years of age, but that the core symptoms related to anxiety remain stable across age. If our results will be replicated in future studies, our study may suggest using the age split of 30 or 50 years in studies that aim to investigate differences across the lifespan. In addition, our study may suggest that age-related central symptoms are an important focus during treatment monitoring.

Modeling vulnerability and intervention targets in the Borderline Personality Disorder system: A network analysis of in silico and in vivo interventions

Modeling psychopathology as a complex dynamic system represents Borderline Personality Disorder (BPD) as a constellation of symptoms (e.g., nodes) that feedback and self-sustain each other shaping a network structure. Through in silico interventions, we simulated the evolution of the BPD system by manipulating: 1) the connectivity strength between nodes (i.e., vulnerability), 2) the external disturbances (i.e., stress) and 3) the predisposition of symptoms to manifest. Similarly, using network analysis we evaluated the effect of an in vivo group psychotherapy to detect the symptoms modified by the intervention. We found that a network with greater connectivity strength between nodes (more vulnerable) showed a higher number of activated symptoms than networks with less strength connectivity. We also found that increases in stress affected more vulnerable networks compared to less vulnerable ones, while decreases in stress revealed a hysteresis effect in the most strongly connected networks. The in silico intervention to symptom alleviation revealed the relevance of nodes related to difficulty in anger regulation, nodes which were also detected as impacted by the in vivo intervention. The complex systems methodology is an alternative to the common cause model with which research has approached the BPD phenomenon.

Moral Decision-Making in Trolley Problems and Variants: How Do Participants' Perspectives, Borderline Personality Traits, and Empathy Predict Choices?

The aim of the present study was to demonstrate and extend the causal effect of participants' perspectives on moral decision-making using trolley problems and variants. Additionally, we investigated whether empathy and borderline (BDL) personality traits predicted participants' choices in these scenarios. We used both a classical trolley problem (a causing harm scenario) and an everyday trolley-like problem (a causing inconvenience scenario). Participants (N = 427, women: 54%) completed BDL traits and empathy questionnaires and, randomly, the two types of trolley problems, presenting both three different perspectives. Our study provided strong evidence that the perspective from which participants were enrolled in the trolley problem caused significant changes in their moral decision-making. Furthermore, we found that affective empathy and BDL traits significantly predicted participants' decisions in the causing inconvenience scenario, while only BDL traits predicted choices in the causing harm scenario. This study was original in providing new experimental materials, causal results, and highlighting the significant influence of BDL traits and affective empathy on moral decision-making. These findings raised fundamental questions, which are further developed in the discussion section.

Borderline personality disorder symptom networks across adolescent and adult clinical samples: examining symptom centrality and replicability

BACKGROUND

Numerous theories posit different core features to borderline personality disorder (BPD). Recent advances in network analysis provide a method of examining the relative centrality of BPD symptoms, as well as examine the replicability of findings across samples. Additionally, despite the increase in research supporting the validity of BPD in adolescents, clinicians are reluctant to diagnose BPD in adolescents. Establishing the replicability of the syndrome across adolescents and adults informs clinical practice and research. This study examined the stability of BPD symptom networks and centrality of symptoms across samples varying in age and clinical characteristics.

METHODS

Cross-sectional analyses of BPD symptoms from semi-structured diagnostic interviews from the Collaborative Longitudinal Study of Personality Disorders (CLPS), the Methods to Improve Diagnostic Assessment and Service (MIDAS) study, and an adolescent clinical sample. Network attributes, including edge (partial association) strength and node (symptom) expected influence, were compared.

RESULTS

The three networks were largely similar and strongly correlated. Affective instability and identity disturbance emerged as relatively central symptoms across the three samples, and relationship difficulties across adult networks. Differences in network attributes were more evident between networks varying both in age and in BPD symptom severity level.

CONCLUSIONS

Findings highlight the relative importance of affective, identity, and relationship symptoms, consistent with several leading theories of BPD. The network structure of BPD symptoms appears generally replicable across multiple large samples including adolescents and adults, providing further support for the validity of the diagnosis across these developmental phases.

Acute suicidal affective disturbance and borderline personality disorder symptoms: Distinct yet correlated constructs

OBJECTIVE

Acute Suicidal Affective Disturbance (ASAD) has been proposed to address the need for a suicide-specific diagnostic entity that better accounts for the psychological symptoms that may emerge during an acute suicidal crisis and that may precede imminent suicidal behaviors. However, additional research is needed to establish ASAD's delimitation from preexisting psychological disorders, especially disorders that include suicidal thoughts and behaviors in their diagnostic criteria such as borderline personality disorder (BPD).

METHODS

We estimated two Gaussian graphical models (GGMs), exploratory factor analysis (EFA) models, and confirmatory factor analysis models in a sample of psychiatric outpatients (N = 460) to examine the structure of ASAD and BPD symptoms.

RESULTS

Our estimated models showed while most ASAD and BPD symptoms largely shared associations with other symptoms belonging to their respective disorder construct, strong associations connected some ASAD symptoms with BPD symptoms, which, in a network model, emerged in the form of nonzero edges among those symptoms, and in EFA models, as factors that featured both ASAD and BPD symptoms as indicators.

CONCLUSIONS

Our findings suggest the network structure of the proposed criteria of ASAD features symptoms that are largely distinct to ASAD but do include symptoms that share meaningful correlations with BPD symptoms that suggest ASAD and BPD are correlated constructs.

Borderline personality disorder and ageing: myths and realities

PURPOSE OF REVIEW

Although mental health issues in ageing individuals have been receiving more attention, borderline personality disorder (BPD) in older adults and the elderly has been relatively neglected. This article aims to review the current state of knowledge about BPD in these age groups.

RECENT FINDINGS

Studies have consistently reported decreasing prevalence rates of BPD among ageing individuals. This may be attributed to the ageing process itself and/or different clinical features due to which meeting the diagnostic criteria for BPD becomes more difficult. Ageing individuals with BPD often present in a way that makes them look 'atypical' compared to younger individuals with the same condition. In particular, this pertains to somewhat attenuated and less overt manifestations of impulsivity. However, the basic pattern of overall symptoms instability continues to characterize ageing individuals with BPD, in addition to depressive symptoms, feeling of emptiness, anger, unstable interpersonal relationships, turbulent responses when needs are not met, various somatic complaints and other symptoms.

SUMMARY

Clinicians should be aware of different clinical features of BPD as patients get older. Diagnostic criteria for BPD may need to be revised to reflect this reality, allow accurate diagnosis and minimize the risk of overlooking BPD in ageing individuals.

Clinical data mining on network of symptom and index and correlation of tongue-pulse data in fatigue population

Background

Fatigue is a kind of non-specific symptom, which occurs widely in sub-health and various diseases. It is closely related to people's physical and mental health. Due to the lack of objective diagnostic criteria, it is often neglected in clinical diagnosis, especially in the early stage of disease. Many clinical practices and researches have shown that tongue and pulse conditions reflect the body's overall state. Establishing an objective evaluation method for diagnosing disease fatigue and non-disease fatigue by combining clinical symptom, index, and tongue and pulse data is of great significance for clinical treatment timely and effectively.

Methods

In this study, 2632 physical examination population were divided into healthy controls, sub-health fatigue group, and disease fatigue group. Complex network technology was used to screen out core symptoms and Western medicine indexes of sub-health fatigue and disease fatigue population. Pajek software was used to construct core symptom/index network and core symptom-index combined network. Simultaneously, canonical correlation analysis was used to analyze the objective tongue and pulse data between the two groups of fatigue population and analyze the distribution of tongue and pulse data.

Results

Some similarities were found in the core symptoms of sub-health fatigue and disease fatigue population, but with different node importance. The node-importance difference indicated that the diagnostic contribution rate of the same symptom to the two groups was different. The canonical correlation coefficient of tongue and pulse data in the disease fatigue group was 0.42 (P < 0.05), on the contrast, correlation analysis of tongue and pulse in the sub-health fatigue group showed no statistical significance.

Conclusions

The complex network technology was suitable for correlation analysis of symptoms and indexes in fatigue population, and tongue and pulse data had a certain diagnostic contribution to the classification of fatigue population.

Assessing DSM-5 Section II Personality Disorders Using the MMPI-2-RF in an Iranian Community Sample

The aim of the current study was to examine the Minnesota Multiphasic Personality Inventory-2-Restructured Form (MMPI-2-RF; Ben-Porath & Tellegen, 2008) scales in assessing Diagnostic and Statistical Manual of Mental Disorders-Fifth edition (DSM-5) Section II Personality Disorder (PD) symptoms. For this purpose, we first tested the cross-cultural factorial and criterion validity of MMPI-2-RF scales. We used a sample of 536 (327 women and 209 men) community individuals in Tehran, Iran. DSM-5 Section II PD criterion counts were assessed using the Structured Clinical Interview for DSM-5-Screening Personality Questionnaire. Exploratory structural equation modelling analyses revealed that the models reported by Ben-Porath and Tellegen generally fitted the data well. Criterion validity of the MMPI-2-RF scales as well as MMPI-2-RF PDs spectra scales were analyzed with respect to their correlations with DSM-5 Section II PDs, indicating results generally consistent with expectations. Results based on Poisson or Negative binomial regression models indicated that a set of MMPI-2-RF scale hypotheses were supported, with several exceptions that are discussed in detail. These findings have implications for applicability of the MMPI-2-RF across Iranian population.

Association of Borderline Personality Disorder Criteria With Suicide Attempts: Findings From the Collaborative Longitudinal Study of Personality Disorders Over 10 Years of Follow-up

IMPORTANCE

Borderline personality disorder (BPD) has been identified as a strong risk factor for suicidal behavior, including suicide attempts. Delineating specific features that increase risk could inform interventions.

OBJECTIVE

To examine factors associated with prospectively observed suicide attempts among participants in the Collaborative Longitudinal Study of Personality Disorders (CLPS), over 10 years of follow-up, with a focus on BPD and BPD criteria.

DESIGN, SETTING, AND PARTICIPANTS

The CLPS is a multisite, naturalistic, prospective study of adult participants with 4 personality disorders (PDs) and a comparison group of adults with major depressive disorder and minimal PD features. Participants were all treatment-seeking and recruited from inpatient, partial, and outpatient treatment settings across New York, New York, Boston, Massachusetts, New Haven, Connecticut, and Providence, Rhode Island. A total of 733 participants were recruited at baseline, with 701 completing at least 1 follow-up assessment. The cohorts were recruited from September 1996 through April 1998 and September 2001 through August 2002. Data for this study using this follow-up sample (N = 701) were analyzed between March 2019 and August 2020.

MAIN OUTCOMES AND MEASURES

Participants were assessed annually using semistructured diagnostic interviews and a variety of self-report measures for up to 10 years. Multiple logistic regression analyses were used to examine baseline demographic and clinical risk factors, including BPD and individual BPD criteria, of suicide attempt assessed over 10 years of prospective follow-up.

RESULTS

Of the 701 participants, 447 (64%) identified as female, 488 (70%) as White, 527 (75%) as single, 433 (62%) were unemployed, and 512 (73%) reported at least some college education. Of all disorders, BPD emerged as the most robust factor associated with prospectively observed suicide attempt(s) (odds ratio [OR], 4.18; 95% CI, 2.68-6.52), even after controlling for significant demographic (sex, employment, and education) and clinical (childhood sexual abuse, alcohol use disorder, substance use disorder, and posttraumatic stress disorder) factors. Among BPD criteria, identity disturbance (OR, 2.21; 95% CI, 1.37-3.56), chronic feelings of emptiness (OR, 1.63; 95% CI, 1.03-2.57), and frantic efforts to avoid abandonment (OR, 1.93; 95% CI, 1.17-3.16) emerged as significant independent factors associated with suicide attempt(s) over follow-up, when covarying for other significant factors and BPD criteria.

CONCLUSIONS AND RELEVANCE

In the multisite, longitudinal study of adults with personality disorders, identity disturbance, chronic feelings of emptiness, and frantic efforts to avoid abandonment were significantly associated with suicide attempts. Identity disturbance, chronic feelings of emptiness, and frantic efforts to avoid abandonment may be clinically overlooked features of BPD in context of suicide risk assessment. In light of the high rates of BPD diagnostic remission, our findings suggest that these criteria should be independently assessed and targeted for further study as suicide risk factors.

Comorbidity in borderline personality: understanding dynamics in development

Borderline personality disorder is marked by high levels of comorbidity in both adolescent and adult populations. However, the mechanisms involved in the development of comorbidity in BPD remain unclear. To address this issue, the current paper proposes the use of dynamic mutualism theory as a valuable and underexplored framework for investigating comorbidity in BPD from a developmental perspective. Specifically, we discuss how predictions of dynamic mutualism can be extended to better understand the onset, maintenance, and interplay of BPD symptoms with other forms of psychopathology over time. Moreover, we suggest that mutualistic interactions among internalizing and externalizing features throughout early development may foster the emergence of BPD symptoms in adolescence and beyond. Next, we discuss methodological approaches for testing mutualism and review indirect evidence that supports the role of mutualistic processes in the emergence and maintenance of BPD and its comorbidities. We conclude with methodological cautions and recommendations for future studies.