DSM-IV Personality Disorders Research Articles

La théorie des cinq facteurs. Profils de personnalité selon la théorie des cinq facteurs et troubles de la personnalité chez des patients déprimés

ObjectivesThe aim of this study was to investigate in a clinical sample the relationships between the specific personality disorders (PD) and the personality traits as defined by the Big Five Model. Patients and methodsFifty-eight patients with major depressive disorder without psychotic symptoms were administered the NEO Personality Inventory Revised and the Structured Interview for DSM-IV Personality Disorders. ResultsAbout the two thirds of them presented at last one PD, the most frequent being obsessive-compulsive, avoidant, paranoid and borderline PDs. These four PDs exhibited a common Five Factor profile characterized by high neuroticism (domain and four facets), and low warmth, positive emotions, openness to values and trust. Three of them showed specific traits in addition: low extraversion and especially gregariousness and activity among paranoid, and low extraversion (especially gregariousness, assertiveness, and activity), openness to actions, competence, achievement striving and self-discipline but high straightforwardness among avoidant, and low extraversion (gregariousness and activity), openness to actions, and self-discipline among obsessive-compulsive patients. ConclusionsThese findings are fundamentally similar to the literature, with the exception of the relatively low conscientiousness among obsessive-compulsive patients. This discrepancy might be due to the fact that our patients were clinically depressed, while most previous research paradoxically studied the PD/FFM relationships among healthy non-consulting participants.

Screening For Personality Disorders in Outpatient Substance Use Disorder Patients

Abstract. The current study evaluates the psychometric properties of both the Standardized Assessment of Personality – Abbreviated Scale (SAPAS) and the Structured Interview for DSM-IV Personality Disorders (SIDP-IV) screener. One hundred two participants were interviewed with the SIDP-IV and the SAPAS. The SIDP-IV was used as the standard to identify PD; the SAPAS and the SIDP-IV screener were compared to the SIDP-IV in terms of sensitivity, specificity, positive and negative predictive power, and overall efficiency. ROC analyses were used to identify ideal cut-off scores. The data showed that both the SAPAS and the SIDP-IV screener had moderate sensitivity and specificity. For the SAPAS, the best cut-off score was 4, yielding a sensitivity of 0.70 and a specificity of 0.63. After modifying the scoring procedures for the SIDP-IV screener, we found a sensitivity of 0.70 and a specificity of 0.75. The results show that the psychometric properties of the SAPAS in a population of treatment-seeking SUD patients are relatively poor compared to previous studies in psychiatric populations. Also, the SAPAS cannot be used to screen for cluster B personality disorders. The SIDP-IV screener shows better results regarding this purpose. Due to the low prevalence of PD in the current study the results should be interpreted with caution.

Significance of personality disorders in the face of drop-outs from psychiatric hospitalizations. The case of selected psychiatric units.

The World Health Organization's estimations indicate that about 50% of patients in well-developed countries may not adhere to long-term therapies. In the field of psychiatry, drop-outs from psychiatric treatment are particularly important. Personality disorders are a significant part of this sphere. The aim of this research was to empirically verify the hypothesis regarding the relation between comorbid personality disorders and drop-outs from treatment among patients of psychiatric wards. This study was a prospective cohort study. 110 patients, hospitalized in 3 different psychiatric wards, were included. Personality disorders were assessed with the Structured Clinical Interview For DSM-IV Personality Disorders (SCID-II). The research was financed by the Polish National Science Center (DEC-2011/01/N/NZ5/05364). The response rate was 89.1%. 72.56% of patients suffered from personality disorders (SCID-II) (among them the most prevalent were: personality disorder - not otherwise specified - 40.7% and borderline personality disorder - 12.38%; 22.95% of patients dropped out from treatment). However, occurrence of personality disorders was not relevant for those drop-outs. On the other hand, relationships at the level of certain criteria of borderline personality disorders and passive-aggressive personality have been revealed. These relationships became stronger when considered from the perspective of differences in the organization of treatment at individual wards. Some personality disorders may play an important role in drop-outs from psychiatric treatment. Presented results require further research.

Motivation factors for suicidal behavior and their clinical relevance in admitted psychiatric patients.

BackgroundSuicidal behavior (SB) is a major, worldwide health concern. To date there is limited understanding of the associated motivational aspects which accompany this self-initiated conduct.AimsTo develop a method for identifying motivational features associated with SB by studying admitted psychiatric patients, and to examine their clinical relevance.MethodsBy performing a factor analytic study using data obtained from a patient sample exhibiting high suicidality and a variety of SB methods, Motivations for SB Scale (MSBS) was constructed to measure the features. Data included assessments of DSM-IV psychiatric and personality disorders, suicide intent, depressive symptomatology, overt aggression, recent life events (RLEs) and methods of SB, collated from structured interviews. Association of identified features with clinical variables was examined by correlation analyses and MANCOVA.ResultsFactor analyses elicited a 4-factor solution composed of Interpersonal-testing (IT), Interpersonal-change (IC), Self-renunciation (SR) and Self-sustenance (SS). These factors were classified according to two distinctions, namely interpersonal vs. intra-personal directedness, and the level of assumed influence by SB or the relationship to prevailing emotions. Analyses revealed meaningful links between patient features and clinical variables. Interpersonal-motivations (IT and IC) were associated with overt aggression, low suicidality and RLE discord or conflict, while SR was associated with depression, high suicidality and RLE separation or death. Borderline personality disorder showed association with IC and SS. When self-strangulation was set as a reference SB method, self-cutting and overdose-taking were linked to IT and SS, respectively.ConclusionsThe factors extracted in this study largely corresponded to factors from previous studies, implying that they may be useful in a wider clinical context. The association of these features with SB-related factors suggests that they constitute an integral part of the process leading to SB. These results provide a base for further research into clinical strategies for patient management and therapy.

Do DSM-5 Section II personality disorders and Section III personality trait domains reflect the same genetic and environmental risk factors?

DSM-5 includes two conceptualizations of personality disorders (PDs). The classification in Section II is identical to the one found in DSM-IV, and includes 10 categorical PDs. The Alternative Model (Section III) includes criteria for dimensional measures of maladaptive personality traits organized into five domains. The degree to which the two conceptualizations reflect the same etiological factors is not known. We use data from a large population-based sample of adult twins from the Norwegian Institute of Public Health Twin Panel on interview-based DSM-IV PDs and a short self-report inventory that indexes the five domains of the DSM-5 Alternative Model plus a domain explicitly targeting compulsivity. Schizotypal, Paranoid, Antisocial, Borderline, Avoidant, and Obsessive-compulsive PDs were assessed at the same time as the maladaptive personality traits and 10 years previously. Schizoid, Histrionic, Narcissistic, and Dependent PDs were only assessed at the first interview. Biometric models were used to estimate overlap in genetic and environmental risk factors. When measured concurrently, there was 100% genetic overlap between the maladaptive trait domains and Paranoid, Schizotypal, Antisocial, Borderline, and Avoidant PDs. For OCPD, 43% of the genetic variance was shared with the domains. Genetic correlations between the individual domains and PDs ranged from +0.21 to +0.91. The pathological personality trait domains, which are part of the Alternative Model for classification of PDs in DSM-5 Section III, appears to tap, at an aggregate level, the same genetic risk factors as the DSM-5 Section II classification for most of the PDs.

Social determinants, which encourage the criminal desistance in young people in conflict with the law

IntroductionPrevious studies about young people in conflict with the law (YPCL) have a tendency to focus on the risk factors that contribute to trigger antisocial criminal behavior. Instead, this study aims to research the social determinants that encourage the criminal desistance: understood as a gradual process taking place in the periods of absence of crime and desire to abandon the criminal activity.ObjectivesFrom a sample that is made up of 100 YPCL, the main objective is to deduce the social determinants, which encourage the criminal desistance in YPCL, it means young people who commit crimes.AimsTo infer the social determinants (circumstances in which people are born, grow, live, including the health system) which foster the desistance in YPCL.MethodsThe results of a sample of 100 YPCL were assessed with three profiles as follows: I: DSM-IV personality disorders (PD T-Scores). II: swap personality syndromes (Q-Factor T-Scores). III. factor T-scores.ResultsThis research shows the prevalence of the following social determinants associated with the desistance: (1) integrated families. (2) Educational and cultural opportunities (3) academic progress. (4) Healthy relationships that support and help. (5) Stable living arrangements (6) social conditions preserved the use of psychoactive substances and alcohol abuse.ConclusionsIt is possible to identify the prevalence of social determinants which encourage the desistance in YPCL. Those allows them to transform their risk path in another that shows a positive development, associated with individual transformations that take them away from the criminal life and reintegrate into the community.

The role of personality and trait affectivity on delusional ideation

ObjectiveThe relationship between personality and delusional ideation in still debated. The present study was aimed to evaluate the role of personality features and trait affectivity on the severity of delusional beliefs, through the lens of a dimensional approach. In fact, robust evidence suggests that delusional experience presents a dimensional structure rather than an all-or-nothing fashion with a severity gradient of delusional beliefs from general population to full-blown delusional disorder (DD).MethodForty-nine inpatients affected by DD and 42 non-delusional outpatients were administered the structured interview for DSM-IV Personality Disorders, the Pathological Narcissism Inventory–Italian Version, the Positive and Negative Affect Schedule and the Peters et al. 33–Italian version.ResultsSeverity of delusional ideation was positively related to “hiding the self” (HS) domain of narcissistic vulnerability and to paranoid traits and negatively related to “positive affect” (PA). Paranoid traits and HS significantly interacted in influencing delusional dimension severity (Fig. 1). Low PA represents a trait affectivity of sadness and lethargy whereas HS is closely related to the experience of shame. We speculate that lower levels of PA and higher levels of HS may grasp the “asthenic” pole of Kretschmer's “sensitive character”.ConclusionThe study findings suggest that the severity of delusional ideation depends, at least in part, on a complex interplay between specific affective and paranoid dispositions within personality. Delusion may constitute the superficial shell, which develops from and cover inner affective vulnerabilities of personality.Fig. 1Disclosure of interestThe authors have not supplied their declaration of competing interest.

Addiction severity and comorbidity among women with alcohol use disorders: A hospital-based study from India.

To examine the addiction severity, comorbid psychiatric disorder and their temporal relationship among women seeking treatment for Alcohol Use Disorders (AUDs). The sample comprised of 35 women with AUDs, with or without psychiatric disorders, recruited from the outpatient and inpatient settings of a tertiary-care hospital. Their mean age was 38.51 years (S.D=7.42). Patients were assessed using Clinical Data Sheet (CDS), Mini-International Neuropsychiatric Interview (MINI), Structured Clinical Interview for DSM-IV Personality disorders (SCIDII), Addiction Severity Index (ASI)-Alcohol subscale and Fagerstrom Test for Nicotine Dependence (FTND). Findings of the study indicated that on average patients initiated alcohol use in their early twenties and developed dependence by the age of 29.66 years (S.D=7.60). The average duration of alcohol dependence was less than a decade before seeking treatment. The mean composite score on ASI was 0.71 (S.D=0.18) and on FTND was 5.16 (S.D=2.59), indicating a high level of alcohol and moderate level of nicotine dependence respectively. On MINI, 57.14% of the patients met the criteria for co-occurring Axis I psychiatric disorders such as major depression disorder and dysthymia. In the majority of the cases, comorbid Axis I disorders were secondary to AUDs. On SCID-II, 17% met the criteria for borderline personality disorder. Examining and understanding the substance use and clinical profile of patients with AUDs are crucial for planning intensity, settings and focus of treatment for women with AUDs.

The association between personality disorders with alcohol use and misuse: A population-based twin study

BackgroundA clearer understanding of the etiological overlap between DSM-IV personality disorders (PDs) and alcohol use (AU) and alcohol use disorder (AUD) is needed. To our knowledge, no study has modeled the association between all 10 DSM-IV PDs and lifetime AU and AUD. The aim of the present study is to identify which PDs are most strongly associated with the phenotypic, genetic, and environmental risks of lifetime AU and AUD, and to determine if these associations are stable across time. MethodsParticipants were Norwegian twins assessed at two waves. At Wave 1, 2801 twins were assessed for all 10 DSM-IV PD criteria, lifetime AU, and DSM-IV AUD criteria. At Wave 2, six of the 10 PDs were again assessed along with AU and AUD among 2393 twins. Univariate and multiple logistic regressions were run. Significant predictors were further analyzed using bivariate twin Cholesky decompositions. ResultsBorderline and antisocial PD criteria were the strongest predictors of AU and AUD across the two waves. Despite moderate phenotypic and genetic correlations, genetic variation in these PD criteria explained only 4% and 3% of the risks in AU, and 5% to 10% of the risks in AUD criteria, respectively. At Wave 2, these estimates increased to 8% and 23% for AU, and 17% and 33% for AUD. ConclusionsAmong a large Norwegian twin sample, borderline and antisocial PD criteria were the strongest predictors of the phenotypic and genotypic liability to AU and AUD. This effect remained consistent across time.

Assessment of diagnostic information and quality of working alliance with clients diagnosed with personality disorders during the mental health intake

Background: A primary purpose of diagnostic systems is to improve care, yet, little is known about how providers use it routine clinical care.Aims: We investigated specific DSM-IV personality disorders (PDs) diagnostic information therapists collected during intake visits and the association between a therapist PD diagnosis and clients’ and therapists’ reports of the quality of working alliance during the intake.Method: A total of 122 intakes (n = 34, 27.9% were diagnosed with PD) in four community mental health clinics in Israel were audiotaped. Immediately following the intake, clients and therapists completed the working alliance inventory (WAI). Independent clinicians coded the intakes using an information checklist.Results: Despite the relatively high prevalence of PD in regular psychiatric care, very limited PD diagnostic information was directly assessed during the intake. Therapists evaluated the quality of the working alliance when they saw a client they diagnosed with PD as significantly lower than the rating of a client without a PD, while the clients’ ratings did not differ as a result of their diagnosis.Conclusions: Therapists do not collect sufficient explicit diagnostic information to base their PD diagnostic decisions. Yet, the presence of PD diagnosis affects their rapport with their clients as early as the intake.

Genetic and Environmental Structure of DSM-IV Criteria for Antisocial Personality Disorder: A Twin Study

Results from previous studies on DSM-IV and DSM-5 Antisocial Personality Disorder (ASPD) have suggested that the construct is etiologically multidimensional. To our knowledge, however, the structure of genetic and environmental influences in ASPD has not been examined using an appropriate range of biometric models and diagnostic interviews. The 7 ASPD criteria (section A) were assessed in a population-based sample of 2794 Norwegian twins by a structured interview for DSM-IV personality disorders. Exploratory analyses were conducted at the phenotypic level. Multivariate biometric models, including both independent and common pathways, were compared. A single phenotypic factor was found, and the best-fitting biometric model was a single-factor common pathway model, with common-factor heritability of 51% (95% CI 40-67%). In other words, both genetic and environmental correlations between the ASPD criteria could be accounted for by a single common latent variable. The findings support the validity of ASPD as a unidimensional diagnostic construct.

Personality Disorders in Hypochondriasis: A Comparison to Panic Disorder and Healthy Controls.

Previous studies found high prevalence rates of personality disorders (PDs) in patients with hypochondriasis; however, assessment was often based only on questionnaires. In the current study, a sample of 68 patients with hypochondriasis was compared to 31 patients with panic disorder and to 94 healthy controls. Participants were investigated with the Structured Clinical Interview for DSM-IV Personality Disorders questionnaire (SCID-II questionnaire) and the SCID-II interview. Based on the cut-off scores of the SCID-II questionnaire, we found a prevalence rate of 45.6% for PD in patients with hypochondriasis. In comparison to healthy controls, patients with hypochondriasis showed characteristics of paranoid, borderline, avoidant, and dependent PDs in the dimensional assessment significantly more often. However, no significant differences were found between the clinical samples. Based on the SCID-II interview, only 2.9% of the patients with hypochondriasis fulfilled the criteria for a PD. These results suggest that PDs are not a specific characteristic of hypochondriasis.

Psychiatric Disorders Among Patients Seeking Treatment for Co-Occurring Chronic Pain and Opioid Use Disorder.

Psychiatric comorbidities complicate treatment of patients with chronic pain and opioid use disorder, but the prevalence of specific comorbid psychiatric disorders in this population has not been systematically investigated. 170 consecutive participants entering a treatment research program for co-occurring chronic pain and opioid use disorder between March 2009 and July 2013 were evaluated with the Structured Clinical Interview for DSM-IV-TR Axis I Disorders (SCID-I/P) and the Diagnostic Interview for DSM-IV Personality Disorders (DIPD-IV). The prevalence of any lifetime (and current) comorbid Axis I disorder was 91% (75%); 52% met criteria for lifetime anxiety disorder (48% current), 57% for lifetime mood disorder (48% current), and 78% for lifetime nonopioid substance use disorder (34% current). Common current anxiety diagnoses were posttraumatic stress disorder (21%), generalized anxiety disorder (16%), and panic disorder without agoraphobia (16%). Common current mood diagnoses were major depressive disorder (40%) and dysthymia (11%). A majority of patients had a personality disorder (52%). High rates and persistence of co-occurring psychiatric disorders, including anxiety or mood disorders, may explain in part the difficulty providers have treating patients with co-occurring opioid use disorder and chronic pain and suggest possible targets for improving treatment. ClinicalTrials.gov identifiers: buprenorphine/naloxone treatment (NCT00634803), opioid treatment program-based methadone maintenance treatment (NCT00727675).

Co-morbidity of personality disorder in schizophrenia among psychiatric outpatients in China: data from epidemiologic survey in a clinical population.

BackgroundThe reported rates of personality disorder (PD) in subjects with schizophrenia (SZ) are quite varied across different countries, and less is known about the heterogeneity of PD among subjects with SZ. We examined the co-morbidity of PD among patients who are in the stable phase of SZ.Method850 subjects were randomly sampled from patients diagnosed with SZ in psychiatric and psycho-counseling clinics at Shanghai Mental Health Center. Co-morbidity of PDs was assessed through preliminary screening and patients were administered several modules of the SCID-II. Evidence of heterogeneity was evaluated by comparing patients diagnosed with SZ with those who presented with either affective disorder or neurosis (ADN).Results204 outpatients (24.0 %) in the stable phase of SZ met criteria for at least one type of DSM-IV PD. There was a higher prevalence of Cluster-A (odd and eccentric PD) and C (anxious and panic PD) PDs in SZ (around 12.0 %). The most prevalent PD was the paranoid subtype (7.65 %). Subjects with SZ were significantly more likely to have schizotypal PD (4.4 % vs. 2.1 %, p = 0.003) and paranoid PD (7.6 % vs. 5.4 %, p = 0.034), but much less likely to have borderline, obsessive-compulsive, depressive, narcissistic and histrionic PD.ConclusionsThese findings suggest that DSM-IV PD is common in patients with SZ than in the general population. Patterns of co-morbidity with PDs in SZ are different from ADN.

The twofold diagnosis of personality disorder: How do personality dysfunction and pathological traits increment each other at successive levels of the trait hierarchy?

Besides the categorical classification of personality disorders (PDs) in Section II of the DSM-5 (American Psychiatric Association, 2013), which has been transferred as such from DSM-IV, Section III provides an alternative model to stimulate further research on the dimensional conceptualization of PDs. In this alternative system, a PD diagnosis is based on 2 essential criteria: impaired personality functioning and the presence of pathological traits. One topic that warrants further research concerns the incremental validity of these 2 components. The current study addresses this issue in a mixed community-patient sample (N = 233). First, Goldberg's (2006) "bass-ackwards" method was used to examine the hierarchical structure of pathological traits as measured by the Dimensional Assessment of Personality Pathology (DAPP-BQ; Livesley & Jackson, 2009). We then extracted a single higher order factor from the Severity Index of Personality Problems (SIPP-118; Verheul et al., 2008) to derive 1 coherent indicator of personality dysfunction. Correlation and hierarchical regression analyses were used to determine the incremental validity of the dysfunction factor versus the trait components at succeeding levels of the DAPP-BQ hierarchy. The results only partially supported the 2-component PD diagnosis, as traits and dysfunction appeared to have only limited incremental validity. Moreover, lower order traits were generally unable to outperform higher order components in predicting specific DSM-IV PDs. Implications for the conceptualization and assessment of personality pathology are discussed. (PsycINFO Database Record

Primary emotional traits in patients with personality disorders.

There is a longstanding tradition that connects temperament pathology and personality disorders. Emotions are the major constituents of temperament. In mammals, seven primary emotions have been identified: SEEKING, FEAR, CARE, RAGE, SADNESS/PANIC, LUST and PLAY. The study aimed at exploring the relationship between primary emotions and personality disorders (PDs). Five hundred forty-six patients with different degrees and qualities of personality pathology, admitted to treatment in specialized PD services, were diagnosed according to Structured Clinical Interview for DSM-IV Axis II Personality Disorders, and their primary emotional profiles were assessed by the Affective Neuroscience Personality Scales. The Affective Neuroscience Personality Scales explained 19% of the variance in borderline and avoidant criteria. The DSM-IV PD categories displayed different patterns of association to the primary emotions, e.g. the borderline PD profile suggested low thresholds for RAGE and SADNESS, but on the positive side a propensity for SEEKING. In contrast, the dependent PD profile suggested a low threshold for SADNESS but a high threshold for RAGE and SEEKING. The results are promising for a more coherent and evolution-based overall theory of PDs, and the correlations found in this study indicate testable causal pathways to PDs. Copyright © 2016 John Wiley & Sons, Ltd.

Personality disorder and violence in the national household population of Britain

Background: Antisocial personality disorder (ASPD) is strongly associated with violence but the effects of other personality disorder (PD) categories are uncertain. Purpose: To investigate associations between 10 DSM-IV PD categories and effects of co-occurring disorders on self-reported violence. Method: Cross-sectional survey of 8397 adults aged 16–74 years in households in Great Britain. Results: ASPD contributed strongly to the burden of violence in the British population. Paranoid and obsessive–compulsive PD made additional independent contributions, and narcissistic PD contributed to intimate partner violence. The prevalence of violence correlated with the number of PD categories. Comorbid alcohol dependence further increased the risk. Conclusions: Risk of violence increases with increasing severity of PD, measured by the number of PD categories, and with co-occurring alcohol dependence. Not all PD categories are associated with violence, and avoidant PD was protective. Identification of targets for future interventions may be obscured using a classification based solely on severity.

OBSESSIVE-COMPULSIVE PERSONALITY DISORDER: EVIDENCE FOR TWO DIMENSIONS.

To determine possible dimensions that underlie obsessive-compulsive personality disorder (OCPD) and to investigate their clinical correlates, familiality, and genetic linkage. Participants were selected from 844 adults assessed with the Structured Instrument for the Diagnosis of DSM-IV Personality Disorders (SIDP) in the OCD Collaborative Genetics Study (OCGS) that targeted families with obsessive-compulsive disorder (OCD) affected sibling pairs. We conducted an exploratory factor analysis, which included the eight SIDP-derived DSM-IV OCPD traits and the indecision trait from the DSM-III, assessed clinical correlates, and estimated sib-sib correlations to evaluate familiality of the factors. Using MERLIN and MINX, we performed genome-wide quantitative trait locus (QTL) linkage analysis to test for allele sharing among individuals. Two factors were identified: Factor 1: order/control (perfectionism, excessive devotion to work, overconscientiousness, reluctance to delegate, and rigidity); and Factor 2: hoarding/indecision (inability to discard and indecisiveness). Factor 1 score was associated with poor insight, whereas Factor 2 score was associated with task incompletion. A significant sib-sib correlation was found for Factor 2 (rICC = .354, P < .0001) but not Factor 1 (rICC = .129, P = .084). The linkage findings were different for the two factors. When Factor 2 was analyzed as a quantitative trait, a strong signal was detected on chromosome 10 at marker d10s1221: KAC LOD = 2.83, P = .0002; and marker d10s1225: KAC LOD = 1.35, P = .006. The results indicate two factors of OCPD, order/control and hoarding/indecision. The hoarding/indecision factor is familial and shows modest linkage to a region on chromosome 10.

The relationship between anxiety disorders and dimensional representations of DSM-IV personality disorders: A co-twin control study

BackgroundThere is substantial comorbidity between personality disorders (PDs) and anxiety disorders (ADs). Sharing of familial risk factors possibly explains the co-occurrence, but direct causal relationships between the disorders may also exist. Methods2801 persons from 1391 twin pairs from the Norwegian Institute of Public Health Twin Panel were assessed for all DSM-IV PDs and ADs. Bivariate Poisson-regression analyses were performed to assess whether PDs predicted ADs at three different levels: All PDs combined, PDs combined within DSM-IV-clusters and each individual PD separately. Next, bivariate co-twin control analyses were executed within monozygotic (MZ) and dizygotic (DZ) twin pairs. A similar analytic strategy was employed in multivariate models including PDs as independent variables. ResultsPDs predicted ADs at all levels of analysis in bivariate regression models. Bivariate co-twin control analyses demonstrated an increased risk of ADs in all PDs combined, all PD-clusters and in schizotypal, paranoid, borderline, antisocial, avoidant and dependent PD. In the multivariate regression model, all PD-clusters and schizotypal, borderline, avoidant and obsessive-compulsive PD predicted ADs. Only borderline and avoidant PD predicted ADs in the multivariate co-twin control analysis. LimitationsOver-adjustment may explain the results from the multivariate analyses. The cross-sectional study design hampers causal inference. ConclusionsComorbidity between ADs and PDs can be largely accounted for by shared familial risk factors. However, the results are also consistent with a direct causal relationship partly explaining the co-occurrence. Our results indicate specific environmental factors for comorbidity of ADs and borderline and avoidant PDs that are not shared with other PDs.

Overgeneral autobiographical memory predicts higher prospective levels of depressive symptoms and intrusions in borderline patients

ABSTRACTOvergeneral memory (OGM), the tendency to retrieve categories of events from autobiographical memory instead of single events, is found to be a reliable predictor for future mood disturbances and post-traumatic symptom severity. Patients with borderline personality disorder (BPD) often report co-morbid episodes of major depressive disorder (MDD) and post-traumatic stress disorder (PTSD). Therefore, we investigated whether OGM would predict depression severity and (post-traumatic) stress symptoms in BPD patients. At admission (N = 54) and at six-month follow-up (N ≥ 31), BPD patients completed the Structured Clinical Interview for DSM-IV Disorders, the Assessment of DSM-IV Personality Disorders, the Autobiographical Memory Test, the Beck Depression Inventory—2nd edition (BDI-II), and the Impact of Event Scale. OGM at baseline predicted (a) higher levels of depressive symptoms at follow-up and (b) more intrusions related to a stressful event over and above baseline levels of borderline symptoms, depressive symptoms, and intrusions, respectively. No association was found between memory specificity and event-related avoidance at follow-up. Despite previous findings suggesting that OGM in BPD is less robust than in MDD and PTSD, our results suggest that memory specificity in BPD patients may have some relevance for the course of depressive and stress symptomatology in BPD.