Literature DB >> 31076565

Evaluation of Reliability and Validity of Chinese-Version Borderline Personality Features Scale for Children.

Pengyang Liu1, Xumei Wang1.   

Abstract

BACKGROUND Borderline Personality Features Scale for Children (BPFS-C) has been widely applied to evaluate the children's borderline personality features worldwide, whereas it is rarely utilized in China. This study was designed to assess the feasibility, reliability, and validity of the Chinese-version BPFS-C in a multi-school-based sample of Chinese children and adolescents. MATERIAL AND METHODS A total of 964 students were recruited from 3 senior high schools, 1 junior middle school, and 1 elementary school in Shenyang, Capital city of Liaoning Province, China. We used the Chinese-version BPFS-C, Children's Depression Inventory (CDI), McLean Screening Instrument for Borderline Personality Disorder (MSI-BPD), University of California at Los Angeles (UCLA) Loneliness Scale, 12-item Aggression Questionnaire (AQ-12), the subscales of obsessive-compulsive symptom and interpersonal sensitivity of Symptom Check List-90 (SCL-90), and Basic Empathy Scale (BES). RESULTS Sixty-eight students were re-tested 3 weeks after the initial test. Internal consistency and reliability of the Chinese-version BPFS-C was calculated as 0.853, and the reliability of re-test was 0.824. The BPFS-C score was moderately correlated with the scores of CDI, MSI-BPD, UCLA, AQ-12, and SCL-90, with a correlation coefficient of 0.590-0.676. The mean BPFS-C score in boys (55.857±12.620) was significantly lower than that (59.460±13.866) in girls (P<0.001). CONCLUSIONS BPFS-C is a reliable and effective scale, which can be used for evaluating borderline personality features in children and adolescents in China.

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Year:  2019        PMID: 31076565      PMCID: PMC6528549          DOI: 10.12659/MSM.912662

Source DB:  PubMed          Journal:  Med Sci Monit        ISSN: 1234-1010


Background

Borderline personality disorder (BPD) is a persistent personality disorder that affects both adults and adolescents [1-5]. BPD is characterized by identity disturbances, problems in interpersonal relationships, and deficits in emotion regulation and impulse control [6,7]. Despite the established relationship between BPD and social, emotional, and behavioral issues in adults, the borderline personality features in children and adolescents are largely unknown [8]. Historically, BPD has been diagnosed in early adulthood and beyond, partially because it is challenging to make a diagnosis of BPD in children with malleable personalities [9]. Nevertheless, it is very likely that the BPD-related symptoms occur in early adulthood, and developmental precursors of BPD may exist during middle-stage childhood. A previous study [10] explored the potential relationship between BPD and bipolar disorder in adults, and demonstrated that BPD patients are diagnosed with certain bipolar traits, such as fairly stable urgency, impatience, irritability, and competitiveness. These specific traits play a pivotal role in the early identification of BPD signs. Due to these severe symptoms, widespread attention has been given to investigating the mechanism and progression of BPD to deepen understanding of the diagnosis and treatment and to deliver effective prevention and intervention measures against BPD [11,12]. A growing body of literature [11-13] has addressed BPD in children, adolescents, and adults, but there has been little cross-cultural investigation of childhood BPD. It has been widely documented that cross-cultural differences exist among different populations between Asia and Europe. The Borderline Personality Features Scale for Children (BPFS-C) has been widely applied to evaluate the borderline personality features in children and adolescents ages 8–18 years. BPFS-C consists of 6 items for each domain, including affective instability, identity problems, negative relationships, and self-harm [14]. Children are asked to rate how often each item described is true for them on a Likert scale ranging from 1 (not at all true) to 5 (always true). The scores for each of the 24 items on the BPFS-C are summed to obtain a total borderline personality features score, which ranges from 24 to 120. In this study, there were 3 primary objectives. First, the BPFS-C was translated for use in China. Second, the internal consistency and reliability of the re-test at 3 weeks after the initial test were assessed. Third, the correlations among BPFS-C, CDI, MSI-BPD, UCLA, AQ-12, and SCL-90 was statistically analyzed to confirm the validity of BPFS-C. We found that the revised Chinese-version BPFS-C is valid and reliable and can be used to assess borderline personality features in Chinese children and adolescents.

Material and Methods

Study subjects

From October 2016 to May 2017, a convenience sampling collection was conducted in 3 senior high schools, 1 junior middle school and 1 elementary school from Shenyang, Capital of Liaoning Province in China. In China, children aged >6 years are required to receive 6-year education (grade I–VI) in the elementary school, go to the junior middle school for 3 years (grade I–III), and finally receive education in the senior high school for 3 years before admission to the university or college education. All 5 schools were non-boarding public schools located in the downtown area. In the senior high school, 3 grade I classes and 3 grade II classes were selected. In the junior middle school, 5 grade I classes and 2 grade II classes were chosen. In the elementary school, 2 grade V classes and 1 grade VI class were selected. In total, 1030 questionnaires were distributed and 1010 questionnaires, including 964 valid questionnaires (a valid rate of 95.4%) were retrieved. Twenty students refused to participate in the questionnaires. The enrolled students were ages 9–18 years old (average 14.3±2 years). The children aged >9 years were asked to complete the questionnaires and then 1–2 children were interviewed about the difficulty of the test. Demographic data, including age, gender, ethnicity, home address, only child, and educational level of parents, were collected, as shown in Table 1. Written informed consents were obtained from their parents of all participants. This study was approved by the Ethics Committee of Shengjing Hospital of China Medical University. Written informed consents were obtained from the parents of all participants.
Table 1

Demographic data.

VariableNo. of cases (n)Percentage (%)
Age
 9–1225926.8%
 13–1538339.7%
 16–1832233.5%
Gender
 Male43244.8%
 Female53255.2%
Ethnicity
 Han82085.1%
 Ethnic minority14414.9%
Only child
 Yes68671.2%
 No27828.8%
Home address
 City90894.1%
 Countryside565.9%
Educational level of parents
 Senior high school57659.8%
 Bachelor degree32834.0%
 Master degree565.9%
 Doctor degree40.3%

Study instruments

BPFS-C

After the consent and authorization of the original authors were obtained, the BPFS-C was translated by the research staff, and back-translated into English by 2 physicians from the Neurology Department who were blind to the BPFS-C. The final Chinese-version BPFS-C was obtained after cultural adjustment and expert panel discussion.

McLean Screening Instrument for Borderline Personality Disorder

The McLean Screening Instrument for Borderline Personality Disorder (MSI-BPD) is a 10-item self-report questionnaire that can detect the presence of BPD in a reliable and quick manner. It consists of 4 dimensions, including unstable emotion, cognitive disorders, impulse behavior, and interpersonal relationship disorders. The Chinese version of MSI-BPD demonstrates high reliability and validity.

AQ-12 questionnaire

The AQ-12 questionnaire comprises 12 items, with scores 1–5 for each item. The total score is calculated from the scores of 4 subscales, including physical aggression, verbal aggression, anger, and hostility. A higher score indicates a higher inclination to aggressive behavior. The revised version of AQ-12 yields high reliability and validity.

Symptom checklist-90 scale

The symptom checklist-90 (SCL-90) scale consists of 90 items, scored 1–5 for each item, and contains 9 factors. In this study, obsessive-compulsive symptoms and interpersonal sensitivity were chosen.

UCLA loneliness scale

The UCLA Loneliness Scale, established and revised by Russell et al. (1996), consists of 20 items [15] and was used to assess participant degree of loneliness. The UCLA Loneliness Scale is one of the most widely used instruments to measure the subjective experience of loneliness, and higher scores on the loneliness scale indicate higher levels of loneliness.

Children’s depression inventory

The Children’s Depression Inventory (CDI) is a psychological assessment that rates the severity of symptoms related to depression or dysthymic disorder in children and adolescents. The CDI is a 27-item scale that is self-rated and symptom-oriented, applicable for children and adolescents aged 7–17 years. The CDI yields high reliability and validity.

Basic empathy scale

The Basic Empathy Scale (BES) was firstly established by Jolliffe and Farrington (2006) [16]. In this study, the revised Chinese version of BES by Geng et al. (2012) was adopted [17]. BES consists of 20 items on a Likert scale ranging from 1 to 5 and includes 2 dimensions of emotional and cognitive empathy.

Statistical analysis

Statistical analysis was carried out with one-way analysis of variance (ANOVA) and the t test as a post-hoc test using Statistical Product and Service Solutions (SPSS) 19.0 statistical software (SPSS, Inc., Chicago, USA). Data were expressed as mean ±standard deviation (SD). All data were analyzed by descriptive statistical analysis, independent-samples t test, Cronbach α coefficient, and Pearson correlation analysis. A P value of less than 0.05 was considered as statistical significance.

Results

Correlation value analysis

The Chinese-version BPFS-C consisted of 6 items for each domain: affective instability, e.g., ‘My feelings are very strong. For instance, when I get mad, I get really, really mad. When I get happy, I get really, really happy’; identity problems, e.g., ‘I change my mind almost every day about what I should do when I grow up’; negative relationships, e.g., ‘I’ve picked friends who have treated me badly’; and self-harm, e.g., ‘I do things that other people consider wild or out of control’ ‘. The correlation value (R) between the score of each item and the total score of the dimension and CR value of each item were calculated, as illustrated in Table 2. Higher than 27% of the total scores of each subscale were allocated into the high score group, and lower than 27% into the low score group. The high and low score groups of each subscale were statistically analyzed by the independent-samples t test. The T score was regarded as the critical ratio (CR) of each item. The correlation coefficient between the scores of 23 items on the BPFS-C and the subscale scores was lower than 0.3, and it was higher than 0.4 in the remaining items. The CR values of all BPFS-C items exceeded 3, suggesting that each item of BPFS-C possessed a relatively high degree of discrimination.
Table 2

The correlation coefficient between the score of each item and dimension and CR value of each item.

Affective instabilityIdentity problemsNegative relationshipsSelf-harm
ItemR valueCR valueItemR valueCR valueItemR valueCR valueItemR valueCR value
10.451***13.213***30.480***14.663***20.694***24.173***40.751***28.243***
50.452***12.474***90.727***30.667***60.751***26.161***70.764***29.634***
80.627***23.356***120.495***14.175***100.657***24.369***110.674***23.408***
140.686***25.804***160.741***32.469***130.662***24.460***150.690***25.078***
170.697***27.202***180.578***19.056***200.565***17.374***190.506***15.726***
210.722***24.984***220.626***21.983***240.501***16.311***230.205***5.804***

p<0.05;

p<0.01;

p<0.001.

Reliability analysis

Results of internal consistency and re-test reliability between the total score of BPFS-C and the scores of each subscale were calculated and shown in Table 3. It was suggested that the overall Cronbach α of BPFS-C was shown as 0.853, 0.662 for affective instability, 0.666 for identity problems, 0.705 for negative relationships, and 0.654 for self-harm, respectively. To prove the above findings, at 3 weeks after the initial test, 68 students from 2 classes attended the re-test. The overall reliability for the BPFS-C re-test was 0.824, 0.636 for affective instability, 0.659 for identity problems, 0.82 for negative relationships, and 0.778 for self-harm, respectively (P<0.001) (Table 3).
Table 3

Internal consistency and re-test reliability between the total score of BPFS-C and the scores of each subscale.

ItemsInternal consistencyRe-test reliability
BPFS-C total score0.853***0.824***
Affective instability0.662***0.636***
Identity problems0.666***0.659***
Negative relationships0.705***0.82***
Self-harm0.654***0.778***

p<0.001.

Further, correlation between the scores of each BPFS-C subscale was analyzed. As shown in Table 4, a moderate degree of correlation was observed between the subscale scores of affective instability, identity problems, negative relationships, and self-harm (P<0.001).
Table 4

Correlation between the scores of each BPFS-C subscale.

Correlation coefficient (R) of |each subscaleIdentity problemsNegative relationshipsSelf-harm
Identity problems10.423***0.408***
Negative relationships0.423***10.434***
Self-harm0.408***0.434***1
Affective instability0.54***0.53***0.494***

p<0.001.

Validity analysis

Convergent validity analysis showed that the correlation coefficient (R) between MSI-BPD and BPFS-C was 0.676. Criterion validity analysis suggested a correlation coefficient (R) of 0.642 between the AQ-12 and BPFS-C (Table 5). Empirical validity indicated that the BPFS-C total score and the interpersonal sensitivity and obsessive-compulsive symptoms scores of CDI, UCLA, AQ-12, and SCL-90 were subject to correlation analysis with a correlation coefficient (R) of 0.590–0.676 (Table 6).
Table 5

Correlation coefficient (R) between the total scores of BPFE-C and subscales and each scale.

Correlation coefficientCDIUCLAAQ-12MSIInterpersonal sensitivityObsessive-compulsive symptomsCognitive empathyEmotional empathy
BPFS-C total score0.622***0.590***0.642***0.676***0.619***0.601***−0.236***0.213***
Affective instability0.549***0.474***0.597***0.58***0.528***0.516***−0.184***0.211***
Identity problems0.543***0.413***0.441***0.507***0.471***0.409***0.24***
Negative relationships0.530***0.597***0.455***0.560***0.543***0.556***−0.287***0.08*
Self-harm0.494***0.356***0.504***0.452***0.383***0.359***−0.244***0.118***

p<0.05;

p<0.001.

Table 6

Correlation between BPFS-C total score, each dimension and each factor of MSI-BPD.

BPFSC/MSI-BPDEmotional disturbanceCognitive disordersImpulse behaviorInterpersonal relationship instability
BPFS-C total score0.600**0.541**0.446**0.351**
Identity problems0.437**0.430**0.300**0.281**
Self-harm0.388**0.351**0.358**0.271**
Affective instability0.559**0.423**0.379**0.304**
Negative relationships0.478**0.478**0.355**0.288**

p<0.01.

Gender differences of BPFS-C score between BPFS-C total score and each dimension of BPFS-C analyzed by t test, as shown in Tables 7–10. The BPFS-C total score and the scores of each dimension of BPFS-C in females were significantly higher compared with those in the male counterparts in elementary school (Table 8), junior middle school (Table 9), and senior high school (Table 10) (P<0.001). In addition, the total score of BPFS-C was significantly positively correlated with age, at a correlation coefficient of 0.249 (P<0.01). All students were divided into 3 groups – the 9–13-year-old group, the 14–15-year-old group, and the 16–18-year-old group – and the BPFS-C scores between different groups were subject to one-way ANOVA. Statistical results revealed that the BPFS-C total scores significantly differed among the 3 groups. Subsequent least significant difference (LSD) analysis demonstrated that the BPFS-C total score in the 9–13-year-old group was significantly lower than that in the 14–15-year-old group and 16–18-year-old group (P<0.001). However, no statistical significance was noted in terms of the BPFS-C total score between the 14–15-year-old and the 16–18-year-old groups (P>0.05), as demonstrated in Table 11.
Table 7

Gender differences between BPFS-C total score and each dimension of BPFS-C (t-test).

Total scoreAffective instabilityIdentity problemsInterpersonal sensitivitySelf-harm
N432 male432 male432 male432 male432 male
532 female532 female532 female532 female532 female
Mean sore55.875±12.620 male14.840±4.398 male15.868±4.701 male11.824±3.736 male13.342±3.874 male
59.460±13.866 female15.755±4.452 female16.860±4.593 female12.753±4.275 female14.090±4.120 female
P0.0000.0020.0010.0000.004

p<0.01;

p<0.001.

Table 8

Gender differences of BPFS-C total score and the scores of each dimension of BPFS-C in elementary school (t-test).

Total scoreAffective instabilityIdentity problemsInterpersonal sensitivitySelf-harm
N51 male51515151
42 female42424242
Mean49.784±11.220 male13.627±4.638 male13.058±4.957 male10.175±4.176 male12.372±3.588 male
53.904±11.962 female15.285±4.267 female15.595±4.909 female11.071±3.645 female11.952±3.019 female
P0.0910.0760.0150.6710.541
Table 9

Gender differences of BPFS-C total score and the scores of each dimension of BPFS-C in junior middle school (t-test).

Total scoreAffective instabilityIdentity problemsInterpersonal sensitivitySelf-harm
N106 male106106106106
129 female129129129129
Mean52.971±12.8680 male14.084±4.725 male15.688±4.717 male10.717±3.360 male12.481±3.580 male
53.767±13.292 female14.558±4.769 female15.550±4.614 female11.108±4.033 female12.550±3.787 female
P0.6430.4480.8220.4180.886
Table 10

Gender differences of BPFS-C total score and the scores of each dimension of BPFS-C in senior high school (t-test).

Total scoreAffective instabilityIdentity problemsInterpersonal sensitivitySelf-harm
N275 male275275275275
361 female361361361361
Mean58.123±12.201 male15.356±4.145 male16.458±4.464 male12.454±3.653 male13.854±3.953 male
62.141±13.493 female16.238±4.415 female17.476±4.430 female13.537±4.213 female14.889±4.109 female
P0.0000.100.0040.0010.001
Table 11

One-way ANOVA of BPFS-C total scores between three age groups.

GroupNBPFS-C total scores
9–13 year32552.941±12.741a
14–15 year31759.823±13.072b,d
16–18 year32260.872±13.115c,d

– mean the difference between three groups.

There are significant differences in the same column with different letters and no significant differences in the same letters.

Discussion

BPFS-C is not only used for BPD screening, but also for identifying adolescents with a potential risk of BPD [18,19]. Therefore, the sensitivity of the questionnaires should be emphasized during the cultural adjustment. In the present study, we did not intend to make a diagnosis of BPD based only on high BPFS-C scores. In the outpatient context, BPD children were characterized by indistinct borderline and emotional instability. Consequently, the questionnaire items were revised to match these pathological characteristics and adapted to the Chinese culture. Notably, the Cronbach’s alpha of the Chinese version of BPFS-C is similar to that of previous findings. The overall convergent validity was calculated as 0.824, and the convergent validity of each subscale ranged from 0.636 to 0.82. The correlation coefficients among different subscales are between 0.408 and 0.54, suggesting the Chinese version of BPFS-C yields high consistency and stability. MSI-BPD was established by Zanarini et al. (2003) and applied for self-assessment BPD questionnaires according to the Diagnostic Interview for DSM-IV Personality Disorder (DIPD). MSI-BPD consists of emotional disturbance, cognitive disorders, impulse behavior, and interpersonal relationship disorders, which corresponds to the 4 dimensions of BPFS-C, including identity problems, self-harm, affective instability, and negative relationships [20]. In essence, the interpersonal relationship of MSI-BPD is significantly different from the interpersonal relationship of BPFS-C. The interpersonal relationship dimension of BPFS-C primarily aims to investigate whether the cognitive and emotional experience is negative, whereas the focus of the interpersonal relationship of MSI-BPD is to assess whether the relationship between the respondent and other people changes [21]. In concept, the emotional instability dimension of BPFS-C is similar to the emotional disturbance of MSI-BPD. In MSI-BPD, 1 item of the emotional disturbance of MSI-BPD focuses upon emptiness, whereas the emotional instability dimension of BPFS-C is not involved with emptiness (correlation coefficient=0.559). The identity problems of BPFS-C resemble the cognitive disorders of MSI-BPD [22] and emphasize the contradictory self-evaluation, emptiness, and paranoid feelings of abandonment [23]. The cognitive disorders of MSI-BPD place emphasis upon unclear self-sensation, distrust, and untruthfulness [23]. Although the 2 scales overlap in part, the items of each dimension are different. Researchers proposed a dimension or continuous evaluation approach [24]. Personality disorder is considered as a common extreme expression of a personality trait. The dimension approach detects the potential characteristics during the period from childhood to maturation or the process divergent from mental pathological development [25]. Compared with MSI-BPD, BPFS-C is more suitable to screen the children and adolescents with a potential risk of BPD from the healthy population. Due to different theoretical frames and measurement items, the correlation coefficient is calculated as 0.676, which is consistent with our previous findings. BPD children have poor ability to control their emotions or to tolerate failure and setback, and are inclined to impulsive behavior, self-harm, and even suicide. Additionally, in this study, children with BPD tended to display impulse behavior, lacked purposefulness and organization, and failed to persist in completing an arduous task. A majority of them regretted what they had done. The correlation coefficient between AQ-12 and the self-harm subscale is assessed as 0.504, which is consistent with our expectation. The distortions in the content of thoughts and beliefs are the core factors of the incidence and maintenance of multiple affective disorders [26]. Compared with patients diagnosed with other personality disorders, BPD patients obtain higher scores in the subscales of dependence, helplessness, suspicion, and abandonment, belonging to 3 categories (distrust, dependence, and protective factor), which are significantly correlated with risk of depression. Both dependence and distrust are intimately correlated with the helplessness. Distrust is the only factor associated with thoughts of suicide. One of the severe consequences of negative distortion beliefs is biased interpretation of ambiguous or neutral stimuli. Patients with affective disorders are more likely to deliver negative interpretation [27]. Barnow et al. (2009) demonstrated that BPD patients are more inclined to giving negative evaluation compared with the healthy individuals. Compared with the patients with depression, BPD patients tend to deliver more aggressive evaluation [28]. Mitchell et al. (2017) proposed that these negative evaluations from the BPD patients probably results from the anxiety and depression [29]. Approximately 12% of unipolar major depression (MD) patients are complicated with BPD and 7% for bipolar MD patients. The depression score is positively correlated with the comorbidity of personality disorders. BPD patients, especially during late childhood, have a high risk of severe depression. The correlation coefficient between BPFS-C and CDI is calculated as 0.622, suggesting that BPD children are likely to suffer from depression. In this study, the correlation coefficient between CDI and the affective instability subscale of BPFS-C was 0.549. Due to loss of self-recognition, BPD patients tend to present with contradictory behavior and identity diffusion. Parker et al. (2006) proposed that self-concept defect and identity diffusion make BPD patients vulnerable to external stimulus. Superficially, BPD patients are unusual and active. Internally, they are suffering from helplessness, hopelessness, and desperation, which aggravate the severity of depression. In this investigation, BPD patients were sensitive to external stimulus, which aggravates the loneliness of children with borderline personalities [30]. In the present investigation, the correlation coefficient between the negative relationships subscale of BPFS-C and CDI was assessed as 0.597. BPD patients are likely to show intense stressful responses and even extreme behaviors when confronted with separation, rejection, or loss of support. The correlation coefficient between UCLA and the self-harm subscale of BPFS-C was 0.356. Due to the sharp variation between intimacy and opposition, BPD patients are not capable of establishing and maintaining an intimate and stable bond with others. The correlation coefficient between BPFS-C and the interpersonal sensitivity scale of SCL-90 was 0.619, which is consistent with our hypothesis. In this study, the correlation coefficient was calculated as 0.601 between the obsessive-compulsive scale of SCL-90 and BPFS-C total score, and 0.556 between the obsessive-compulsive scale of SCL-90 and the negative relationships subscale of BPFS-C. The mean total score of BPFS-C in girls was significantly higher than that obtained from boys, which is consistent with previous findings, probably because a majority of the samples originate from clinical settings and the quantity of male subjects is higher than that of female counterparts. Most males are diagnosed with multiple diseases induced by substance abuse. Over time, total scores of BPFS-C in females tend to decline more than in their male counterparts, probably due the relatively short period of research. In this study, the level of personality feature was probably influenced by age. The total scores of BPFS-C do not significantly differ between the 2 genders in the elementary and junior middle schools, whereas the total score of BPFS-C in females was considerably higher than in their male counterparts in senior high school. This investigation was not a longitudinal study. Thus, it was impossible to explore whether the gender difference can be ascribed to aging. However, we hypothesize that the gender difference is not significant during early childhood and adolescence, but it becomes significant after adolescence. Meantime, the level of personality feature in the female is higher compared with that in the male. In addition, the gender difference is intensified by the cultural context and environment. The personality feature is subject to influence from the surrounding environment. The females were more susceptible compared with their male counterparts.

Study limitations

First, the evaluation tool is related to BPFS-C theoretically, but it fails to predict borderline personality features in children. Therefore, it cannot be subject to multiple regression analysis to explore the factors influencing borderline personality features in children. The effects of genetic and biological factors upon borderline personality features have not been evaluated, and we did not explore whether the difference in BPFS-C scores between boys and girls will change with aging.

Conclusions

The Chinese-version BPFS-C is a convenient, reliable, and effective scale, which yields high reliability and validity for evaluating borderline personality features in children and adolescents in China.
  26 in total

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3.  An experimental test of the schema mode model of borderline personality disorder.

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4.  Affective instability and impulsivity in borderline personality and bipolar II disorders: similarities and differences.

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5.  Addiction treatment services and co-occurring disorders: Prevalence estimates, treatment practices, and barriers.

Authors:  Mark P McGovern; Haiyi Xie; Sam R Segal; Lauren Siembab; Robert E Drake
Journal:  J Subst Abuse Treat       Date:  2006-07-24

6.  The prevalence of DSM-IV personality disorders in psychiatric outpatients.

Authors:  Mark Zimmerman; Louis Rothschild; Iwona Chelminski
Journal:  Am J Psychiatry       Date:  2005-10       Impact factor: 18.112

Review 7.  Recent advances in the treatment of borderline personality disorder.

Authors:  Joel Paris
Journal:  Can J Psychiatry       Date:  2005-07       Impact factor: 4.356

8.  The relational context of aggression in borderline personality disorder: using adult attachment style to predict forms of hostility.

Authors:  Kenneth L Critchfield; Kenneth N Levy; John F Clarkin; Otto F Kernberg
Journal:  J Clin Psychol       Date:  2008-01

9.  A screening measure for BPD: the McLean Screening Instrument for Borderline Personality Disorder (MSI-BPD).

Authors:  Mary C Zanarini; A Anna Vujanovic; Elizabeth A Parachini; Jennifer L Boulanger; Frances R Frankenburg; John Hennen
Journal:  J Pers Disord       Date:  2003-12

10.  Frequency of comorbid personality disorders in bipolar and unipolar affective disorders.

Authors:  Peter Brieger; Uwe Ehrt; Andreas Marneros
Journal:  Compr Psychiatry       Date:  2003 Jan-Feb       Impact factor: 3.735

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