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Features of borderline personality disorder as a mediator of the relation between childhood traumatic experiences and psychosis-like experiences in patients with mood disorder

Published online by Cambridge University Press:  01 January 2020

Ilya Baryshnikov
Affiliation:
aDepartment of Psychiatry, University of Helsinki and Helsinki University Hospital, P.O. Box 22, 00014, Finland
Kari Aaltonen
Affiliation:
aDepartment of Psychiatry, University of Helsinki and Helsinki University Hospital, P.O. Box 22, 00014, Finland cDepartment of Psychiatry, University of Helsinki and Helsinki University Hospital, P.O. Box 22 (Välskärinkatu 12 A), 00014, Finland
Jaana Suvisaari
Affiliation:
aDepartment of Psychiatry, University of Helsinki and Helsinki University Hospital, P.O. Box 22, 00014, Finland bNational Institute for Health and Welfare, Department of Social Services and Health Care, Mental Health Unit, FI-00271, Helsinki, Finland
Maaria Koivisto
Affiliation:
aDepartment of Psychiatry, University of Helsinki and Helsinki University Hospital, P.O. Box 22, 00014, Finland
Martti Heikkinen
Affiliation:
aDepartment of Psychiatry, University of Helsinki and Helsinki University Hospital, P.O. Box 22, 00014, Finland
Grigori Joffe
Affiliation:
aDepartment of Psychiatry, University of Helsinki and Helsinki University Hospital, P.O. Box 22, 00014, Finland
Erkki Isometsä*
Affiliation:
aDepartment of Psychiatry, University of Helsinki and Helsinki University Hospital, P.O. Box 22, 00014, Finland
*
*rresponding author at: Department of Psychiatry, P.O. Box 22 (Välskärinkatu 12 A), 0014, University of Helsinki, Finland. E-mail addresses: ilya.baryshnikov@hus.fi (I. Baryshnikov), kari.aaltonen@helsinki.fi (K. Aaltonen), jaana.suvisaari@thl.fi (J. Suvisaari), maaria.koivisto@fimnet.fi (M. Koivisto), martti.heikkkinen@hus.fi (M. Heikkinen), grigori.joffe@hus.fi (G. Joffe), erkki.isometsa@helsinki.fi, erkki.isometsa@hus.fi (E. Isometsä).

Abstract

Background

Psychosis-like experiences (PEs) are common in patients with non-psychotic disorders. Several factors predict reporting of PEs in mood disorders, including mood-associated cognitive biases, anxiety and features of borderline personality disorder (BPD). Childhood traumatic experiences (CEs), often reported by patients with BPD, are an important risk factor for mental disorders. We hypothesized that features of BPD may mediate the relationship between CEs and PEs. In this study, we investigated the relationships between self-reported PEs, CEs and features of BPD in patients with mood disorders.

Methods

As part of the Helsinki University Psychiatric Consortium study, McLean Screening Instrument (MSI), Community Assessment of Psychic Experiences (CAPE-42) and Trauma and Distress Scale (TADS) were filled in by patients with mood disorders (n = 282) in psychiatric care. Correlation coefficients between total scores of scales and their dimensions were estimated, multiple regression and mediation analyses were conducted.

Results

Total scores of MSI correlated strongly with scores of the CAPE-42 dimension “frequency of positive symptoms” (rho = 0.56; p ≤ 0.001) and moderately with scores of TADS (rho = 0.4; p ≤ 0.001). Total score of MSI and its dimension “cognitive symptoms”, including identity disturbance, distrustfulness and dissociative symptoms, fully mediated the relation between TADS and CAPE-42. Each cognitive symptom showed a partial mediating role (dissociative symptoms 43% (CI = 25–74%); identity disturbance 40% (CI = 30-73%); distrustfulness 18% (CI = 12-50%)).

Conclusions

Self-reported cognitive-perceptual symptoms of BPD fully mediate, while affective, behavioural and interpersonal symptoms only partially mediate the relationships between CEs and PEs. Recognition of co-morbid features of BPD in patients with mood disorders reporting PEs is essential.

Type
Original articles
Copyright
Copyright © 2017 European Psychiatric Association

1. Introduction

Psychosis-like experiences (PEs) are common both in the general population [Reference Verdoux and van Os1, Reference McGrath, Saha, Al-Hamzawi, Alonso, Bromet and Bruffaerts2] and in patients with non-psychotic mental disorders [Reference DeVylder, Burnette and Yang3Reference Kelleher and DeVylder8]. Individuals with mood and anxiety disorders tend to report PEs more often than healthy individuals [Reference Wigman, van Os, Abidi, Huibers, Roelofs and Arntz9]. Numerous studies have indicated that presence of PEs in non-psychotic disorders, such as mood and anxiety disorders, is associated with higher risk of suicidal thoughts and suicidal behaviour [Reference DeVylder, Jahn, Doherty, Wilson, Wilcox and Schiffman10], psychological distress, higher co-morbidity and worse treatment outcomes [Reference Kelleher, Keeley, Corcoran, Lynch, Fitzpatrick and Devlin11Reference DeVylder and Kelleher13]. Moreover, subthreshold PEs are more prevalent than full-blown psychotic symptoms [Reference Linscott and van Os14, Reference Schultze-Lutter, Renner, Paruch, Julkowski, Klosterkotter and Ruhrmann15].

We recently demonstrated that PEs are highly prevalent in patients with unipolar depression and bipolar disorder treated in psychiatric care [Reference Baryshnikov, Suvisaari, Aaltonen, Koivisto, Melartin and Naatanen16]. Several factors tend to predict reporting of PEs such as mood symptoms, anxiety symptoms and self-reported features of co-morbid personality disorders, including borderline personality disorder (BPD).

Features of BPD are common in patients with mood disorders [Reference Baryshnikov, Joffe, Koivisto, Melartin, Aaltonen and Suominen17Reference Baryshnikov, Aaltonen, Koivisto, Näätänen, Karpov and Melartin19], and they are clinically relevant even if self-reported [Reference Zimmerman, Chelminski, Young, Dalrymple and Martinez20]. Besides the well-known categorical co-morbidity [Reference Grant, Chou, Goldstein, Huang, Stinson and Saha21] between BPD and mood disorders, there is also marked dimensional overlap between these conditions [Reference Grant, Chou, Goldstein, Huang, Stinson and Saha22Reference Melartin, Mantere, Ketokivi and Isometsa25]. Transient, stress-related paranoid ideation or severe dissociative symptoms are among the diagnostic criteria of BPD [Reference American Psychiatric Association26]. These symptoms of BPD in patients with mood disorder are likely associated with higher psychological distress, functional impairments and worse treatment outcome [Reference Zimmerman, Chelminski, Young, Dalrymple and Martinez20, Reference Kleindienst, Limberger, Ebner-Priemer, Keibel-Mauchnik, Dyer and Berger27, Reference Zanarini, Laudate, Frankenburg, Reich and Fitzmaurice28]. Moreover, simultaneous BPD features in patients with ultra-high risk (UHR) for psychosis were associated with a wider range of reported PEs than in UHR patients without BPD features [Reference Ryan, Graham, Nelson and Yung29]. However, whether concurrent BPD is associated with higher risk for development of psychosis remains uncertain [Reference Thompson, Nelson, Bechdolf, Chanen, Domingues and McDougall30]. Partially overlapping neurobiological mechanisms of psychosis and BPD probably underlie phenomenological similarities between BPD and psychosis [Reference Witt, Streit, Jungkunz, Frank, Awasthi and Reinbold31].

Childhood traumatic experiences (CEs) are an aetiological factor contributing to development of several mental disorders, including mood disorders, psychosis and BPD [Reference Mayo, Corey, Kelly, Yohannes, Youngquist and Stuart32Reference Vrijsen, van Amen, Koekkoek, van Oostrom, Schene and Tendolkar40]. Both patients with BPD and UHR report CEs often, and especially sexual abuse was suggested to contribute to development of psychosis [Reference Thompson, Nelson, Yuen, Lin, Amminger and McGorry41] and BPD [Reference Yen, Shea, Battle, Johnson, Zlotnick and Dolan-Sewell42, Reference Silk, Lee, Hill and Lohr43]. Our previous study revealed a high prevalence of self-reported CEs in patients with mood disorders [Reference Baryshnikov, Joffe, Koivisto, Melartin, Aaltonen and Suominen17]. Subjects with a history of CEs, especially sexual abuse, tend to report a higher level of both dissociative [Reference Chu and Dill44, Reference Draijer and Langeland45] and psychotic symptoms [Reference Kelleher, Harley, Lynch, Arseneault, Fitzpatrick and Cannon46, Reference Wurr and Partridge47]. However, the causality and exact mechanisms linking CEs and various psychiatric disorders remain to be elucidated [Reference Teicher and Samson38, Reference Paris48, Reference Bendall, Jackson, Hulbert and McGorry49]. Some authors have even postulated that dissociative symptoms might be a mediator between CEs and psychotic symptoms [Reference Longden, Madill and Waterman50Reference Yamasaki, Ando, Koike, Usami, Endo and French54]. Other authors have found no mediational role of dissociative or affective symptoms in the relationship between CEs and transition to psychosis in UHS patients [Reference Thompson, Marwaha, Nelson, Wood, McGorry and Yung55].

The majority of studies investigating relationships between CEs and PEs have been conducted in non-clinical populations, UHR patients or patients with psychosis. However, clinically relevant PEs are present also in patients with mood disorders. Some authors propose that PEs reflect the continuum of psychosis [Reference van Os, Linscott, Myin-Germeys, Delespaul and Krabbendam56] or may be associated with concurrent personality pathology [Reference Baryshnikov, Suvisaari, Aaltonen, Koivisto, Melartin and Naatanen16]. Given that BPD and PEs probably share similar aetiological factors in the form of CEs, we hypothesized that features of BPD in patients with mood disorders may mediate the relationship between CEs and self-reported PEs. Thus, we aimed to a) examine whether features of co-morbid BPD mediate the relation between CEs and PEs; b) define specific symptoms of BPD correlated with PEs; and c) examine the mediational role of specific symptom clusters of BPD in relationships between CEs and PEs in patients with mood disorders.

2. Methods

The methodology of the HUPC study has been reported in detail elsewhere [Reference Baryshnikov57, Reference Aaltonen, Naatanen, Heikkinen, Koivisto, Baryshnikov and Karpov58].

2.1. Helsinki university psychiatric consortium (HUPC)

This investigation is part of the HUPC study. The study protocol was approved by the Ethics Committee of Helsinki University Central Hospital on 28 August 2010.

2.2. Setting

The study was conducted between 12.1.2011 and 20.12.2012 in 10 community mental health centres, three psychiatric inpatient units and one day-hospital, all offering specialized secondary public mental health services in the metropolitan area of Helsinki.

2.3. Sampling

Inclusion criteria were patients’ age ≥18 years and provision of informed consent. Patients with mental retardation, neurodegenerative disorders and insufficient Finnish language skills were excluded. Stratified patient sampling selection was performed [Reference Aaltonen, Naatanen, Heikkinen, Koivisto, Baryshnikov and Karpov58]. Of the 902 eligible patients with mood, neurotic or personality disorders, 372 refused to participate and 216 were lost for other reasons. In addition, 31 patients with other lifetime diagnoses were excluded.

2.4. Clinical diagnoses

The validity of the clinical diagnoses assigned by the attending physicians was critically evaluated by the authors by re-examining all available information from patient records. The validated clinical diagnoses were based on the ICD-10-DCR [59]. Lifetime principal diagnosis was assigned.

2.5. Description of patients

Altogether 282 patients participated in the study. Their mean age was 42.2 ± 13.1 years, and 209 (74.1%) were female. There were 183 patients with unipolar depression (UD, F32-F33) (mean age 41.4 ± 13.3 years) and 99 with bipolar disorder (BD, F31) (mean age 43.7 ± 12.7 years). Seventeen patients with BP had co-morbid BPD; among patients with UD, 39 had co-morbid BPD. In terms of age and gender, sample distribution did not differ from patients with the same diagnoses treated in 2011 and 2012 in psychiatric care organizations.

2.6. Trauma and distress scale (TADS)

TADS is a self-report questionnaire that measures childhood trauma and distress experiences through 43 items [Reference Patterson, Skeate and Birchwood60]. The TADS items measure symptoms in five main domains: emotional abuse, physical abuse, sexual abuse, emotional neglect and physical neglect. Each item is rated on a four-point Likert scale from 1 to 4. TADS has been validated in Finland [Reference Salokangas, Schultze-Lutter, Patterson, von Reventlow, Heinimaa and From61].

2.7. McLean screening instrument (MSI)

The MSI is a ten-item questionnaire designed according to DSM-IV diagnostic criteria to screen for BPD [Reference Zanarini, Vujanovic, Parachini, Boulanger, Frankenburg and Hennen62]. It has been translated into Finnish and validated in Finland [Reference Melartin, Hakkinen, Koivisto, Suominen and Isometsa63]. Each item requires a “yes/no” response. Each positive item indicates the presence of BPD symptoms. We have allocated the items of MSI into four groups: “cognitive symptoms” (including items “identity disturbance”, “distrustfulness” and “dissociative symptoms”), “behavioural symptoms” (i.e. “impulsivity” and “suicidal behaviour”), “affective symptoms” (i.e. “mood instability”, “increased anger” and “feeling of emptiness”) and “interpersonal symptoms” (i.e. “troubled relationships” and “fear of abandonment”) [Reference Lieb, Zanarini, Schmahl, Linehan and Bohus64].

2.8. Community assessment of psychic experiences (CAPE-42)

The CAPE-42 is a self-reported questionnaire that measures lifetime psychotic experiences by using 42 items. The items measure symptoms in three main domains: positive symptoms (20 items), negative symptoms (14 items) and depression symptoms (8 items). Each item is rated on a four-point Likert scale from 1 to 4 for both symptom frequency and the degree of distress experienced due to the symptom.

2.9. Statistical analysis

The correlation analysis was executed between scales’ total scores and their dimensions. As the total scores of the MSI correlated strongly with a dimension “frequency of positive symptoms” of the CAPE-42, we conducted a principal components analysis, employing a Varimax orthogonal rotation with a forced two-component solution in order to examine distribution of the items between two scales. The majority of the MSI and CAPE-42 items predictably loaded on their respective components, indicating that despite a partial overlap between the scales, a greater part of their items are non-overlapping (data available upon request). Hierarchical multiple regression analysis (HMRA) was conducted to assess factors predicting reporting of PEs. To account for the possible effect of age and sex on the reporting of PEs, model 1 included these variables. Due to moderate correlations between the scores of TADS and MSI, they were placed in different models − model 2 (age, sex, TADS) and model 3 (MSI). In addition, the separate items of the MSI were included in model 3 of another HMRA to examine items of MSI predicting self-reported PEs. Mediation analysis was conducted using the bootstrapping method with bias-corrected confidence estimates [Reference Mackinnon, Lockwood and Williams65]. The independent variable was TADS, the dependent variable was the dimension “frequency of positive symptoms” score of CAPE-42 and the mediator variable was MSI. Three separate mediation analyses were performed with different mediators: the total score of MSI; the dimensions of MSI; and the item “dissociative symptoms” of the MSI. The 95% confidence interval of the indirect effects was obtained with 5000 bootstrap resamples [Reference Preacher and Hayes66]. The analyses were performed by using SPSS (IBM Corp. Released 2013).

3. Results

Total scores of the CAPE-42 “frequency of positive symptoms” scale, TADS and MSI are shown in previous reports [Reference Baryshnikov, Joffe, Koivisto, Melartin, Aaltonen and Suominen17, Reference Baryshnikov67].

3.1. Correlation analyses

  1. a.) The total scores of TADS correlated moderately with both total scores of MSI (rho = 0.4; p ≤ 0.001) and the “frequency of positive symptoms” scale of CAPE-42 (rho = 0.29; p ≤ 0.001). The total scores of MSI and the “frequency of positive symptoms” scale of CAPE-42 were strongly correlated (rho = 0.56; p ≤ 0.001). Specifically, a strong correlation emerged between the MSI dimension “cognitive symptoms” and CAPE-42 “positive symptoms”; a moderate correlation between MSI “affective symptoms” and “behavioural symptoms” and CAPE-42 “positive symptoms”; and a weak correlation between MSI “interpersonal symptoms” and CAPE-42 “positive symptoms” (see Fig. 1).

  2. b.) The specific items of MSI, such as “dissociative symptoms”, “distrustfulness” and “identity disturbance”, correlated moderately with the total score of “frequency of positive symptoms” of CAPE-42 (rpb = 0.50; 0.40; and 0.42, respectively; p ≤ 0.01) (see Fig. 2).

  3. c.) All dimensions of TADS correlated moderately with the total score of MSI and the CAPE-42 dimension “frequency of positive symptoms” (rs varied between 0.202 and 0.375; p ≤ 0.01) (see Table 1).

3.2. HMRA predicting frequency of psychosis-like experiences from TADS and MSI

In Step 1 (variables of age and sex) (R2 = 0.061, F (2, 248) = 8.0, p < 0.001), only age had significant weight. The addition of TADS (Step 2) led to a significant increase in R2 by 0.07, F (1, 247) = 11.9, p < 0.001, with significant weights for age and TADS. The addition of MSI (Step 3) led to a significant increase in R2 by 0.173, F (1, 246) = 26.3, p < 0.001, with significant weight only for MSI (β values not shown, data available on request). The variance inflation factors (VIF) varied between 1.00 and 1.35.

3.3. HMRA predicting frequency of psychosis-like experiences from items of MSI

Step 1 and step 2 were similar to the previously presented HMRA. In step 3, only items “dissociative symptoms”, “distrustfulness” and “identity disturbance” had significant weights (β = 0.3, p < 0.001; β = 0.12, p < 0.05; β = 0.13, p < 0.05, respectively) (see Table 2). The VIF varied between 1.00 and 1.41.

3.4. Mediation analysis

3.4.1.. Mediating role of MSI total scores

The indirect effect of TADS on positive symptoms (CAPE-42) through MSI was significant (B = 0.11; t (251) = 4.3; CI = 0.05 to 0.11). However, the direct effect of TADS on CAPE-42 became insignificant (B = 0.03; t (251) = 1.2; p = 0.25) when controlling for MSI, thus indicating a full mediation (see Fig. 3).

3.4.2. Mediation analysis of MSI dimensions

A mediating role of the four MSI dimensions was specified. The dimension “cognitive symptoms” provided a full mediation on the relationship between TADS and CAPE-42. The dimensions “affective symptoms”, “behavioural symptoms” and “interpersonal symptoms” demonstrated a partial mediation on the relationship between TADS and CAPE-42 (40% CI 29–75%; 10% CI 8–37%; 8% CI 6–38%, respectively) (see Supplementary Figs. 1–4).

Fig. 1 Spearman’s correlation analysis between the dimensions of MSI and the “frequency of positive symptoms” scale of CAPE-42 (n = 251). MSI – McLean Screening Instrument; CAPE-42–Community Assessment of Psychic Experiences. *p ≤ 0.01.

Fig. 2 Point-biserial correlations rpb between items of MSI and total score of the “frequency of the positive symptoms” scale of CAPE-42 (n = 251).

Table 1 Spearman’s correlation analysis between the dimensions of TADS, MSI total score and the frequency of positive symptoms scale of CAPE-42 (n = 251).

MSI – McLean Screening Instrument; TADS – Trauma and Distress Scale; CAPE-42–Community Assessment of Psychic Experiences.

* p ≤ 0.01.

Table 2 Hierarchical multiple regression analysis in predicting frequency of the positive symptoms scale of CAPE-42 from age, sex, TADS, and the items of MSI in patients with mood disorders (n = 251).

Step 1 (age, sex); Step 2 (age, sex, TADS); Step 3 (age, sex, TADS, items of MSI); B − unstandardized coefficients; β − standardized coefficients; MSI − McLean Screening Instrument; TADS − Trauma and Distress Scale; CAPE-42–Community Assessment of Psychic Experiences.

* p < 0.05.

** p < 0.001.

Fig. 3 Mediation analysis with 5000 bootstrapping resample between TADS, MSI and the “frequency of positive symptoms scale” of CAPE-42. Numbers indicate regression coefficients (B). MSI – McLean Screening Instrument; CAPE-42–Community Assessment of Psychic Experiences; TADS − Trauma and Distress Scale.

*p ≤ 0.001.

1indicates the direct effect of TADS on the “frequency of the positive symptoms scale” when controlling for MSI.

2indicates the total effect of TADS on the “frequency of the positive symptoms scale”.

3.4.3. Mediation analysis of specific MSI items “dissociative symptoms”, “distrustfulness” and “identity disturbance”

The indirect effect of TADS on the “frequency of positive symptoms” of the CAPE-42 separately through the distinct MSI items “dissociative symptoms”, “distrustfulness” and “identity disturbance” was significant. Thus, 43% (CI = 25–74%) of the association between TADS and the “frequency of positive symptoms” of the CAPE-42 was mediated by MSI “dissociative symptoms”, 40% (CI = 30–73%) by “identity disturbance” and 18% (CI = 12-50%) by “distrustfulness” (See Supplementary Figs. 5 –7).

4. Discussion

Problematic boundaries between BPD, particularly its dissociative and transient paranoid symptoms, and psychosis have long been a topic of extensive debates [Reference Bozkurt Zincir, Yanartas, Zincir and Semiz51Reference van Os, Linscott, Myin-Germeys, Delespaul and Krabbendam56]. Both disorders partially share phenomenological features as well as an aetiological factor (childhood traumatic experiences (CEs)). However, the relationships between CEs, features of BPD and self-reported PEs in patients with mood disorders have not been investigated. Our study filled this gap by demonstrating a complete mediational role of self-reported features of BPD in the relationship between CEs and PEs in patients with unipolar depression and bipolar disorder. In other words, in patients with mood disorders the association between self-reported CEs and PEs is completely attributed to self-reported symptoms of BPD. Features reflecting cognitive symptoms of patients with BPD (i.e. “dissociative symptoms”, “distrustfulness” and “identity disturbance”) mediated fully the relationship between CEs and PEs, whereas symptoms of affective and behavioral dysregulation as well as interpersonal symptoms of BPD only partially mediated this relationship.

In addition, our study defined a mediational role of specific self-reported features of BPD: 43% of the relation between self-reported CEs and PEs was mediated by self-reported dissociative symptoms of BPD, 40% by self-reported identity disturbance and 18% by self-reported distrustfulness. Another major finding of the study is, as expected, a moderate correlation between the self-reported features of BPD “dissociative symptoms”, “identity disturbance” and “distrustfulness” with the frequency of self-reported PEs in patients with mood disorders. Moreover, these self-reported features of BPD independently predicted the self-reported PEs in patients with mood disorders.

The strengths and limitations of the HUPC study have been discussed in detail elsewhere [Reference Baryshnikov, Joffe, Koivisto, Melartin, Aaltonen and Suominen17, Reference Aaltonen, Naatanen, Heikkinen, Koivisto, Baryshnikov and Karpov58], but are briefly outlined below. To the best of our knowledge, this is the first study providing a detailed analysis of the associations between self-reported features of BPD, CEs and psychosis-like experiences in mood disorder patients. The investigation was undertaken with a relatively large and representative sample of mood disorder patients recruited from specialized psychiatric care, and extensive data of self-reported symptoms and experiences was collected. Moreover, we examined a comprehensive set of self-reported data of CEs, an important factor in the aetiology of mood disorders, psychosis and BPD [Reference Mayo, Corey, Kelly, Yohannes, Youngquist and Stuart32Reference Vrijsen, van Amen, Koekkoek, van Oostrom, Schene and Tendolkar40].

Some limitations of the study should be mentioned. First, the response rate was only 43%. However, an analysis of representativeness indicated no significant differences in terms of age or sex between our cohort and the whole patient population within specialized psychiatric care of the catchment area (data not shown). Furthermore, in terms of demographic characteristics our cohort did not differ from screening-based representative cohorts from the same area [Reference Melartin, Rytsala, Leskela, Lestela-Mielonen, Sokero and Isometsa68, Reference Mantere, Suominen, Leppamaki, Valtonen, Arvilommi and Isometsa69]. Second, the clinical diagnoses were not verified with structured clinical diagnostic interviews. However, all patients had been diagnosed with mood disorders in specialized psychiatric settings, and all available information was re-evaluated by the authors. Third, the results of our study are based on self-report scales. Numerous studies have shown that patients with mood disorders often demonstrate impairments in social cognition [Reference Hoertnagl and Hofer70], autobiographical memory disruptions [Reference Talarowska, Berk, Maes and Galecki71] and distortions in self-reflections [Reference Philippi and Koenigs72]. Moreover, dissociative symptoms per se [Reference Vermetten and Spiegel73, Reference Mosquera, Gonzalez and Leeds74] may affect a patient’s ability to recall events in childhood. Fourth, it is important to note that the CAPE measures frequency of occurrence of PEs over the lifetime, not frequency or severity of PE symptoms during a distinct illness episode (psychotic mania or psychotic depression). Fifth, we assumed a causal relationship between self-reported CEs and PEs, to be tested in mediational analysis. However, a cross-sectional study does not allow determination of causality of these relationships, although a retrospectively assessed temporal sequence of exposures and outcomes is theoretically plausible. Sixth, we have not considered the potential impact of mood state on reporting of BPD features. Seventh, as shown in our previous studies [Reference Baryshnikov, Suvisaari, Aaltonen, Koivisto, Melartin and Naatanen16, Reference Baryshnikov, Joffe, Koivisto, Melartin, Aaltonen and Suominen17, Reference Baryshnikov, Aaltonen, Koivisto, Näätänen, Karpov and Melartin19, Reference Baryshnikov57], there is a phenomenological overlap between self-reported features of BPD and symptoms of mania, hypomania, depression and schizotypal personality disorder (SPD). A comprehensive clinical interview is needed to distinguish these mental disorders. Finally, a strong correlation between self-reported dissociative symptoms and frequency of psychosis-like symptoms may affect the results of the regression and mediation analyses to some extent. However, no multicollinearity problems was indicated.

The term “borderline” was initially introduced to emphasize the idea that patients with this pathology are “on the border” of psychosis [Reference Barnow, Arens, Sieswerda, Dinu-Biringer, Spitzer and Lang75, Reference Gunderson and Singer76]. However, more recent neurobiological and genetic studies have pointed to stronger associations of BPD with mood disorders than with psychotic disorders [Reference Gunderson77]. A high prevalence of PEs and dissociative symptoms reported by patients with BPD has been established [Reference Barnow, Arens, Sieswerda, Dinu-Biringer, Spitzer and Lang75, Reference Zanarini, Gunderson and Frankenburg78Reference Kelleher and DeVylder81, Reference Kelleher and Cannon86]. Moreover, the more severe presentation of BPD, the more likely patients report PEs [Reference Schroeder, Fisher and Schafer82]. In line with this, our study has shown a moderate correlation between self-reported features of BPD and frequency of self-reported PEs. Such self-reported features of BPD as “dissociative symptoms”, “distrustfulness” and “identity disturbance” correlated stronger than others with the self-reported PEs, and independently predict PEs. Thus, the more often mood disorder patients report “dissociative symptoms”, “distrustfulness” and “identity disturbance”, the more likely they are also to report PEs.

The DSM-5 [Reference American Psychiatric Association26] emphasizes that PEs and dissociative symptoms in patients with BPD are transient, occurring for brief periods in situations related to affective shifts associated with the fear of abandonment and interpersonal disputes. It is important to note that both of the self-report questionnaires, MSI for BPD and CAPE-42 for PEs, include questions regarding lifetime symptoms. Consequently, it is impossible to know whether the PEs occurred only during psychotic mood episodes or during specific stressful situations or whether these self-reported PEs are associated with BPD, SPD or both.

Patients with a variety of mental disorders often report CEs [Reference Melartin, Rytsala, Leskela, Lestela-Mielonen, Sokero and Isometsa32Reference Silk, Lee, Hill and Lohr43]. In our previous study [Reference Baryshnikov, Joffe, Koivisto, Melartin, Aaltonen and Suominen17], patients with mood disorders reported CEs more often than non-psychiatric individuals investigated in an earlier study [Reference Salokangas, Schultze-Lutter, Patterson, von Reventlow, Heinimaa and From61]. In addition, the mean score of the “sexual abuse” dimension of TADS was higher in patients with mood disorders than in individuals from the general population, but the same as in patients with clinical high risk for psychosis [Reference Tikka, Luutonen, Ilonen, Tuominen, Kotimaki and Hankala83]. Congruent with this finding, we have shown a moderate correlation between all dimensions of TADS and self-reported PEs. However, not all patients exposed to CEs later develop BPD, and not all patients with BPD report CEs [Reference Paris48]. The same is true for psychosis [Reference Bendall, Jackson, Hulbert and McGorry49].

We previously demonstrated that insecure attachment style mediated the relation between CEs and features of BPD in patients with mood disorders. Interestingly, other studies have shown a mediating role of insecure attachment style in the relationship between CEs and paranoia [Reference Pearce, Simpson, Berry, Bucci, Moskowitz and Varese52, Reference Bentall, de Sousa, Varese, Wickham, Sitko and Haarmans84] and of dissociative symptoms in the relationship between CEs and auditory verbal hallucinations [Reference Pearce, Simpson, Berry, Bucci, Moskowitz and Varese52, Reference Dalenberg, Brand, Gleaves, Dorahy, Loewenstein and Cardena85]. Our study demonstrated that self-reported features of BPD, specifically those reflecting cognitive-perceptual distortions of BPD, fully mediated the relation between self-reported CEs and PEs in patients with mood disorders. Thus, the pathway between self-reported CEs and PEs in patients with mood disorders probably consists of, firstly, insecure attachment style and, secondly, self-reported BPD features. Therefore, a diagnosis of co-morbid BPD features is essential for clinically interpreting self-reported PEs in patients with mood disorders with a history of childhood adversities.

5. Conclusion

Recognition of co-morbid features of BPD in patients with mood disorders reporting PEs is essential. Self-reported features reflecting cognitive-perceptual distortions of patients with BPD, namely “dissociative symptoms”, “identity disturbance” and “distrustfulness”, moderately correlate and independently predict self-reported PEs in patients with mood disorders. The self-reported cognitive-perceptual symptoms of BPD fully mediated the relation between self-reported CEs and PEs, whereas affective, behavioural and interpersonal symptoms showed only a partial mediational effect. More specifically, 43% of the relation between self-reported CEs and PEs was mediated by self-reported dissociative symptoms, 40% by self-reported identity disturbance and 18% by self-reported distrustfulness. Thus, the mediational role of cognitive-perceptual symptoms of BPD is central.

Appendix A. Supplementary data

Supplementary data associated with this article can be found, in the online version, at https://doi.org/10.1016/j.eurpsy.2017.12.005.

References

Verdoux, Hvan Os, JPsychotic symptoms in non-clinical populations and the continuum of psychosis. Schizophr Res 54(March (1–2))2002; 5965.CrossRefGoogle ScholarPubMed
McGrath, JJSaha, SAl-Hamzawi, AAlonso, JBromet, EJBruffaerts, R et al. Psychotic experiences in the general population: a cross-national analysis based on 31,261 respondents from 18 countries. JAMA Psychiatry 72(July (7))2015; 697705.CrossRefGoogle ScholarPubMed
DeVylder, JEBurnette, DYang, LHCo-occurrence of psychotic experiences and common mental health conditions across four racially and ethnically diverse population samples. Psychol Med 44(December (16))2014; 3503–13.CrossRefGoogle ScholarPubMed
Hanssen, MSBijl, RVVollebergh, Wvan Os, JSelf-reported psychotic experiences in the general population: a valid screening tool for DSM-III-R psychotic disorders?. Acta Psychiatr Scand 107(May (5))2003; 369–77.CrossRefGoogle ScholarPubMed
Saha, SScott, JVarghese, DMcGrath, JAnxiety and depressive disorders are associated with delusional-like experiences: a replication study based on a national survey of mental health and wellbeing. BMJ Open 2(May (3))2012 10.1136/bmjopen, 2012-001001 Print 2012.CrossRefGoogle ScholarPubMed
Fusar-Poli, PNelson, BValmaggia, LYung, ARMcGuire, PKComorbid depressive and anxiety disorders in 509 individuals with an at-risk mental state: impact on psychopathology and transition to psychosis. Schizophr Bull 40(January (1))2014; 120–31.CrossRefGoogle ScholarPubMed
Bortolon, CRaffard, SSelf-reported psychotic-like experiences in individuals with obsessive-compulsive disorder versus schizophrenia patients: characteristics and moderation role of trait anxiety. Compr Psychiatry 57(February)2015; 97105.CrossRefGoogle ScholarPubMed
Kelleher, IDeVylder, JEHallucinations in borderline personality disorder and common mental disorders. Br J Psychiatry 210(March (3))2017; 230–1.CrossRefGoogle ScholarPubMed
Wigman, JTvan Os, JAbidi, LHuibers, MJRoelofs, JArntz, A et al. Subclinical psychotic experiences and bipolar spectrum features in depression: association with outcome of psychotherapy. Psychol Med 44(January (2))2014; 325–36.CrossRefGoogle ScholarPubMed
DeVylder, JEJahn, DRDoherty, TWilson, CSWilcox, HCSchiffman, J et al. Social and psychological contributions to the co-occurrence of sub-threshold psychotic experiences and suicidal behavior. Soc Psychiatry Psychiatr Epidemiol 50(December (12))2015; 1819–30.CrossRefGoogle ScholarPubMed
Kelleher, IKeeley, HCorcoran, PLynch, FFitzpatrick, CDevlin, N et al. Clinicopathological significance of psychotic experiences in non-psychotic young people: evidence from four population-based studies. Br J Psychiatry 2012;201(1):2632.CrossRefGoogle ScholarPubMed
Collip, DWigman, JTMyin-Germeys, IJacobs, NDerom, CThiery, E et al. From epidemiology to daily life: linking daily life stress reactivity to persistence of psychotic experiences in a longitudinal general population study. PLoS One 8(April (4))2013; e62688.CrossRefGoogle Scholar
DeVylder, JEKelleher, IClinical significance of psychotic experiences in the context of sleep disturbance or substance use. Psychol Med 46(June (8))2016; 1761–7.CrossRefGoogle ScholarPubMed
Linscott, RJvan Os, JAn updated and conservative systematic review and meta-analysis of epidemiological evidence on psychotic experiences in children and adults: on the pathway from proneness to persistence to dimensional expression across mental disorders. Psychol Med 43(June (6))2013; 1133–49.CrossRefGoogle ScholarPubMed
Schultze-Lutter, FRenner, FParuch, JJulkowski, DKlosterkotter, JRuhrmann, SSelf-reported psychotic-like experiences are a poor estimate of clinician-rated attenuated and frank delusions and hallucinations. Psychopathology 2014;47(3):194201.CrossRefGoogle ScholarPubMed
Baryshnikov, ISuvisaari, JAaltonen, KKoivisto, MMelartin, TNaatanen, P et al. Self-reported psychosis-like experiences in patients with mood disorders. Eur Psychiatry February)2017.Google ScholarPubMed
Baryshnikov, IJoffe, GKoivisto, MMelartin, TAaltonen, KSuominen, K et al. Relationships between self-reported childhood traumatic experiences, attachment style, neuroticism and features of borderline personality disorders in patients with mood disorders. J Affect Disord 210(March)2017; 82–9.CrossRefGoogle ScholarPubMed
Baryshnikov, ISuvisaari, JAaltonen, KKoivisto, MNäätänen, PKarpov, B et al. Self-reported symptoms of schizotypal and borderline personality disorder in patients with mood disorders. Eur Psychiatry 2016;3(33):3744.CrossRefGoogle Scholar
Baryshnikov, IAaltonen, KKoivisto, MNäätänen, PKarpov, BMelartin, T et al. Differences and overlap in self-reported symptoms of bipolar disorder and borderline personality disorder. Eur Psychiatry 2015;30(8):914–9.CrossRefGoogle ScholarPubMed
Zimmerman, MChelminski, IYoung, DDalrymple, KMartinez, JDoes the presence of one feature of borderline personality disorder have clinical significance? implications for dimensional ratings of personality disorders. J Clin Psychiatry 73(January (1))2012; 812.CrossRefGoogle ScholarPubMed
Grant, BFChou, SPGoldstein, RBHuang, BStinson, FSSaha, TD et al. Prevalence, correlates, disability, and comorbidity of DSM-IV borderline personality disorder: results from the wave 2 national epidemiologic survey on alcohol and related conditions. J Clin Psychiatry 69(April (4))2008; 533–45.CrossRefGoogle ScholarPubMed
Grant, BFChou, SPGoldstein, RBHuang, BStinson, FSSaha, TD et al. Prevalence, correlates, disability, and comorbidity of DSM-IV borderline personality disorder: results from the wave 2 national epidemiologic survey on alcohol and related conditions. J Clin Psychiatry 69(April (4))2008; 533–45.CrossRefGoogle ScholarPubMed
Leichsenring, FLeibing, EKruse, JNew, ASLeweke, FBorderline personality disorder. Lancet 377(January (9759))2011; 7484.CrossRefGoogle ScholarPubMed
Melartin, TKRytsala, HJLeskela, USLestela-Mielonen, PSSokero, TPIsometsa, ETCurrent comorbidity of psychiatric disorders among DSM-IV major depressive disorder patients in psychiatric care in the vantaa depression study. J Clin Psychiatry 63(February (2))2002; 126–34.CrossRefGoogle ScholarPubMed
Melartin, TMantere, OKetokivi, MIsometsa, EA prospective latent analysis study of axis I psychiatric co-morbidity of DSM-IV major depressive disorder. Psychol Med 44(April (5))2014; 949–59.CrossRefGoogle ScholarPubMed
American Psychiatric Association, The diagnostic and statistical manual of mental disorders fifth edition2013, American Psychiatric Association.CrossRefGoogle Scholar
Kleindienst, NLimberger, MFEbner-Priemer, UWKeibel-Mauchnik, JDyer, ABerger, M et al. Dissociation predicts poor response to dialectial behavioral therapy in female patients with borderline personality disorder. J Pers Disord 25(August (4))2011; 432–47.CrossRefGoogle ScholarPubMed
Zanarini, MCLaudate, CSFrankenburg, FRReich, DBFitzmaurice, GPredictors of self-mutilation in patients with borderline personality disorder: a 10-year follow-up study. J Psychiatr Res 45(June (6))2011; 823–8.CrossRefGoogle ScholarPubMed
Ryan, JGraham, ANelson, BYung, ABorderline personality pathology in young people at ultra high risk of developing a psychotic disorder. Early Interv Psychiatry March)2015.Google ScholarPubMed
Thompson, ANelson, BBechdolf, AChanen, AMDomingues, IMcDougall, E et al. Borderline personality features and development of psychosis in an ‘ultra high risk’ (UHR) population: a case control study. Early Interv Psychiatry 6(August (3))2012; 247–55.CrossRefGoogle Scholar
Witt, SHStreit, FJungkunz, MFrank, JAwasthi, SReinbold, CS et al. Genome-wide association study of borderline personality disorder reveals genetic overlap with bipolar disorder, major depression and schizophrenia. Transl Psychiatry 7(June (6))2017; e1155.CrossRefGoogle Scholar
Mayo, DCorey, SKelly, LHYohannes, SYoungquist, ALStuart, BK et al. The role of trauma and stressful life events among individuals at clinical high risk for psychosis: a review. Front Psychiatry 8(April)2017; 55.CrossRefGoogle ScholarPubMed
Ball, JSLinks, PSBorderline personality disorder and childhood trauma: evidence for a causal relationship. Curr Psychiatry Rep 11(February (11))2009; 63–8.CrossRefGoogle ScholarPubMed
Battle, CLShea, MTJohnson, DMYen, SZlotnick, CZanarini, MC et al. Childhood maltreatment associated with adult personality disorders: findings from the collaborative longitudinal personality disorders study. J Pers Disord 18(April (2))2004; 193211.CrossRefGoogle ScholarPubMed
Etain, BHenry, CBellivier, FMathieu, FLeboyer, MBeyond genetics: childhood affective trauma in bipolar disorder. Bipolar Disord 10(December (8))2008; 867–76.CrossRefGoogle ScholarPubMed
Kupfer, DJFrank, EPhillips, MLMajor depressive disorder: new clinical, neurobiological, and treatment perspectives. Lancet 379(March (9820))2012; 1045–55.CrossRefGoogle ScholarPubMed
Nanni, VUher, RDanese, AChildhood maltreatment predicts unfavorable course of illness and treatment outcome in depression: a meta-analysis. Am J Psychiatry 169(February (2))2012; 141–51.CrossRefGoogle ScholarPubMed
Teicher, MHSamson, JAChildhood maltreatment and psychopathology: a case for ecophenotypic variants as clinically and neurobiologically distinct subtypes. Am J Psychiatry 170(October (10))2013; 1114–33.CrossRefGoogle ScholarPubMed
Brew, BDoris, MShannon, CMulholland, CWhat impact does trauma have on the at-risk mental state? A systematic literature review. Early Interv Psychiatry May)2017.Google Scholar
Vrijsen, JNvan Amen, CTKoekkoek, Bvan Oostrom, ISchene, AHTendolkar, IChildhood trauma and negative memory bias as shared risk factors for psychopathology and comorbidity in a naturalistic psychiatric patient sample. Brain Behav 7(May (6))2017; e00693.CrossRefGoogle Scholar
Thompson, ADNelson, BYuen, HPLin, AAmminger, GPMcGorry, PD et al. Sexual trauma increases the risk of developing psychosis in an ultra high-risk prodromal population. Schizophr Bull 40(May (3))2014; 697706.CrossRefGoogle Scholar
Yen, SShea, MTBattle, CLJohnson, DMZlotnick, CDolan-Sewell, R et al. Traumatic exposure and posttraumatic stress disorder in borderline, schizotypal, avoidant, and obsessive-compulsive personality disorders: findings from the collaborative longitudinal personality disorders study. J Nerv Ment Dis 190(August (8))2002; 510–8.CrossRefGoogle ScholarPubMed
Silk, KRLee, SHill, EMLohr, NEBorderline personality disorder symptoms and severity of sexual abuse. Am J Psychiatry 152(July (7))1995; 1059–64.Google ScholarPubMed
Chu, JADill, DLDissociative symptoms in relation to childhood physical and sexual abuse. Am J Psychiatry 147(July (7))1990; 887–92.Google ScholarPubMed
Draijer, NLangeland, WChildhood trauma and perceived parental dysfunction in the etiology of dissociative symptoms in psychiatric inpatients. Am J Psychiatry 156(March (3))1999; 379–85.Google ScholarPubMed
Kelleher, IHarley, MLynch, FArseneault, LFitzpatrick, CCannon, MAssociations between childhood trauma, bullying and psychotic symptoms among a school-based adolescent sample. Br J Psychiatry 193(November (5))2008; 378–82.CrossRefGoogle ScholarPubMed
Wurr, CJPartridge, IMThe prevalence of a history of childhood sexual abuse in an acute adult inpatient population. Child Abuse Negl 20(September (9))1996; 867–72.CrossRefGoogle Scholar
Paris, JDoes childhood trauma cause personality disorders in adults?. Can J Psychiatry 43(March (2))1998; 148–53.CrossRefGoogle ScholarPubMed
Bendall, SJackson, HJHulbert, CAMcGorry, PDChildhood trauma and psychotic disorders: a systematic, critical review of the evidence. Schizophr Bull 34(May (3))2008; 568–79.CrossRefGoogle Scholar
Longden, EMadill, AWaterman, MGDissociation, trauma, and the role of lived experience: toward a new conceptualization of voice hearing. Psychol Bull 138(January (1))2012; 2876.CrossRefGoogle Scholar
Bozkurt Zincir, SYanartas, OZincir, SSemiz, UBClinical correlates of childhood trauma and dissociative phenomena in patients with severe psychiatric disorders. Psychiatr Q 85(December (4))2014; 417–26.CrossRefGoogle ScholarPubMed
Pearce, JSimpson, JBerry, KBucci, SMoskowitz, AVarese, FAttachment and dissociation as mediators of the link between childhood trauma and psychotic experiences. Clin Psychol Psychother June)2017.CrossRefGoogle ScholarPubMed
Perona-Garcelan, SCarrascoso-Lopez, FGarcia-Montes, JMDuctor-Recuerda, MJLopez Jimenez, AMVallina-Fernandez, O et al. Dissociative experiences as mediators between childhood trauma and auditory hallucinations. J Trauma Stress 25(June (3))2012; 323–9.CrossRefGoogle ScholarPubMed
Yamasaki, SAndo, SKoike, SUsami, SEndo, KFrench, P et al. Dissociation mediates the relationship between peer victimization and hallucinatory experiences among early adolescents. Schizophr Res Cogn 16(May (4))2016; 1823.CrossRefGoogle Scholar
Thompson, AMarwaha, SNelson, BWood, SJMcGorry, PDYung, AR et al. Do affective or dissociative symptoms mediate the association between childhood sexual trauma and transition to psychosis in an ultra-high risk cohort?. Psychiatry Res 28(February (236))2016; 182–5.CrossRefGoogle Scholar
van Os, JLinscott, RJMyin-Germeys, IDelespaul, PKrabbendam, LA systematic review and meta-analysis of the psychosis continuum: evidence for a psychosis proneness-persistence-impairment model of psychotic disorder. Psychol Med 39(February (2))2009; 179–95.CrossRefGoogle ScholarPubMed
Baryshnikov, I. Self-reported features of borderline and schizotypal personality disorders in patients with mood disorders. 2017-04-07.Google Scholar
Aaltonen, KNaatanen, PHeikkinen, MKoivisto, MBaryshnikov, IKarpov, B et al. Differences and similarities of risk factors for suicidal ideation and attempts among patients with depressive or bipolar disorders. J Affect Disord 193(March)2016; 318–30.CrossRefGoogle ScholarPubMed
World Health Organization International classification of disease 10th ed.1992 Geneva.Google Scholar
Patterson, PSkeate, ABirchwood, MTADS-EPOS 1.2 2002, University of Birmingham Birmingham.Google Scholar
Salokangas, RKSchultze-Lutter, FPatterson, Pvon Reventlow, HGHeinimaa, MFrom, T et al. Psychometric properties of the trauma and distress scale, TADS, in an adult community sample in finland. Eur J Psychotraumatol 30(March (7))2016; 30062.CrossRefGoogle Scholar
Zanarini, MCVujanovic, AAParachini, EABoulanger, JLFrankenburg, FRHennen, JA screening measure for BPD: The McLean screening instrument for borderline personality disorder (MSI-BPD). J Pers Disord 17(December (6))2003; 568–73.CrossRefGoogle Scholar
Melartin, THakkinen, MKoivisto, MSuominen, KIsometsa, ETScreening of psychiatric outpatients for borderline personality disorder with the McLean screening instrument for borderline personality disorder (MSI-BPD). Nord J Psychiatry 63(November (6))2009; 475–9.CrossRefGoogle Scholar
Lieb, KZanarini, MCSchmahl, CLinehan, MMBohus, MBorderline personality disorder. Lancet 2004;364(9432):453–61Jul 31-Aug 6.CrossRefGoogle ScholarPubMed
Mackinnon, DPLockwood, CMWilliams, JConfidence limits for the indirect effect: distribution of the product and resampling methods. Multivariate Behav Res 39(January (1))2004; 99.CrossRefGoogle ScholarPubMed
Preacher, KJHayes, AFAsymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav Res Methods 40(August (3))2008; 879–91.CrossRefGoogle ScholarPubMed
Baryshnikov, I. Self-reported features of borderline and schizotypal personality disorders in patients with mood disorders. 2017-04-07.Google Scholar
Melartin, TKRytsala, HJLeskela, USLestela-Mielonen, PSSokero, TPIsometsa, ETCurrent comorbidity of psychiatric disorders among DSM-IV major depressive disorder patients in psychiatric care in the vantaa depression study. J Clin Psychiatry 63(February (2))2002; 126–34.CrossRefGoogle ScholarPubMed
Mantere, OSuominen, KLeppamaki, SValtonen, HArvilommi, PIsometsa, EThe clinical characteristics of DSM-IV bipolar I and II disorders: baseline findings from the jorvi bipolar study (JoBS). Bipolar Disord 6(October (5))2004; 395405.CrossRefGoogle Scholar
Hoertnagl, CMHofer, ASocial cognition in serious mental illness. Curr Opin Psychiatry 27(May (3))2014; 197202.CrossRefGoogle ScholarPubMed
Talarowska, MBerk, MMaes, MGalecki, PAutobiographical memory dysfunctions in depressive disorders. Psychiatry Clin Neurosci 70(February (2))2016; 100–8.CrossRefGoogle ScholarPubMed
Philippi, CLKoenigs, MThe neuropsychology of self-reflection in psychiatric illness. J Psychiatr Res 54(July)2014; 5563.CrossRefGoogle ScholarPubMed
Vermetten, ESpiegel, DTrauma and dissociation: implications for borderline personality disorder. Curr Psychiatry Rep 16(February (2))2014434,013-0434-8.CrossRefGoogle ScholarPubMed
Mosquera, DGonzalez, ALeeds, AMEarly experience, structural dissociation, and emotional dysregulation in borderline personality disorder: the role of insecure and disorganized attachment. Borderline Personal Disord Emot Dysregul 28(October)20141:15,6673-1-15. eCollection 2014.Google Scholar
Barnow, SArens, EASieswerda, SDinu-Biringer, RSpitzer, CLang, SBorderline personality disorder and psychosis: a review. Curr Psychiatry Rep 12(June (3))2010; 186–95.CrossRefGoogle ScholarPubMed
Gunderson, JGSinger, MTDefining borderline patients: an overview. Am J Psychiatry 132(January (1))1975; 110.Google ScholarPubMed
Gunderson, JGBorderline personality disorder: ontogeny of a diagnosis. Am J Psychiatry 166(May (5))2009; 530–9.CrossRefGoogle ScholarPubMed
Zanarini, MCGunderson, JGFrankenburg, FRCognitive features of borderline personality disorder. Am J Psychiatry 147(January (1))1990; 5763.Google ScholarPubMed
Yee, LKorner, AJMcSwiggan, SMeares, RAStevenson, JPersistent hallucinosis in borderline personality disorder. Compr Psychiatry 46(March-April (2))2005; 147–54.CrossRefGoogle ScholarPubMed
Pope, HG Jr.Jonas, JMHudson, JICohen, BMTohen, MAn empirical study of psychosis in borderline personality disorder. Am J Psychiatry 142(November (11))1985; 1285–90.Google ScholarPubMed
Kelleher, IDeVylder, JEHallucinations in borderline personality disorder and common mental disorders. Br J Psychiatry 210(March (3))2017; 230–1.CrossRefGoogle ScholarPubMed
Schroeder, KFisher, HLSchafer, IPsychotic symptoms in patients with borderline personality disorder: prevalence and clinical management. Curr Opin Psychiatry 26(January (1))2013; 113–9.CrossRefGoogle ScholarPubMed
Tikka, MLuutonen, SIlonen, TTuominen, LKotimaki, MHankala, J et al. Childhood trauma and premorbid adjustment among individuals at clinical high risk for psychosis and normal control subjects. Early Interv Psychiatry 7(Febraury (1))2013; 51–7.CrossRefGoogle ScholarPubMed
Bentall, RPde Sousa, PVarese, FWickham, SSitko, KHaarmans, M et al. From adversity to psychosis: pathways and mechanisms from specific adversities to specific symptoms. Soc Psychiatry Psychiatr Epidemiol 49(July (7))2014; 1011–22.CrossRefGoogle ScholarPubMed
Dalenberg, CJBrand, BLGleaves, DHDorahy, MJLoewenstein, RJCardena, E et al. Evaluation of the evidence for the trauma and fantasy models of dissociation. Psychol Bull 138(May (3))2012; 550–88.CrossRefGoogle ScholarPubMed
Kelleher, ICannon, MWhither the psychosis-Neurosis borderline. Schizophr Bull 2014;40(2):266–8PMC. Web. 18 Nov. 2017.CrossRefGoogle ScholarPubMed
Figure 0

Fig. 1 Spearman’s correlation analysis between the dimensions of MSI and the “frequency of positive symptoms” scale of CAPE-42 (n = 251). MSI – McLean Screening Instrument; CAPE-42–Community Assessment of Psychic Experiences. *p ≤ 0.01.

Figure 1

Fig. 2 Point-biserial correlations rpb between items of MSI and total score of the “frequency of the positive symptoms” scale of CAPE-42 (n = 251).

Figure 2

Table 1 Spearman’s correlation analysis between the dimensions of TADS, MSI total score and the frequency of positive symptoms scale of CAPE-42 (n = 251).

MSI – McLean Screening Instrument; TADS – Trauma and Distress Scale; CAPE-42–Community Assessment of Psychic Experiences.
Figure 3

Table 2 Hierarchical multiple regression analysis in predicting frequency of the positive symptoms scale of CAPE-42 from age, sex, TADS, and the items of MSI in patients with mood disorders (n = 251).

Step 1 (age, sex); Step 2 (age, sex, TADS); Step 3 (age, sex, TADS, items of MSI); B − unstandardized coefficients; β − standardized coefficients; MSI − McLean Screening Instrument; TADS − Trauma and Distress Scale; CAPE-42–Community Assessment of Psychic Experiences.
Figure 4

Fig. 3 Mediation analysis with 5000 bootstrapping resample between TADS, MSI and the “frequency of positive symptoms scale” of CAPE-42. Numbers indicate regression coefficients (B). MSI – McLean Screening Instrument; CAPE-42–Community Assessment of Psychic Experiences; TADS − Trauma and Distress Scale.*p ≤ 0.001.1indicates the direct effect of TADS on the “frequency of the positive symptoms scale” when controlling for MSI.2indicates the total effect of TADS on the “frequency of the positive symptoms scale”.

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