13
Journal of Personality Disorders. 22(2), 165-177, 2008 «::J 2008 The Guilford Press DYSFUNCTIONAL BELIEFS AND PSYCHOPATHOLOGY.IN BORDERLINE ; PERSONALITY DISORDER Suni1 S. Bhar, PhD. Gregory K. Brown. PhD, and Aaron T. Beck. MD This study exar;runed the factor structure of the BorderUne Personality Disorder suhscaJe of the Personality Beliefs Questionnaire (PBQ-BPD; Butler. Brown. Beck. & Grisham. 2002). and the relationships between the emergent factors and psychopathology. The sample comprised 184 patients diagnosed v.1th borderline personality disorder (BPD). Explor- atory factor analysis yielded three factors relatlng respectively to depen- dency. distrust. and the belief that one should act preemptively to avoid threat. Although the three factors were significantly associated With de- pression, only dependency and distrust significantly correlated with hopelessness. Distrust was the sale factor that correlated significantly With suicide ideation. These findings support the dimensional structure of the PBQ-BPD. Given its multidimensional structure. the'scaJe can be used as a measure of belief profiles associated with BPD and as an aid to conceptualizing beliefs underlying a range of psychopathology asso- ciated willi patients with BPD. Borderline personality disorder (BPD) is a major health problem. The dis- order is assodated with considerable psychosocial impairment. a high de- gree of morbidity and a high burden on mental health resources. Patients with BPD constitute an estimated 15% to 20% of psychiatric inpatients (Gunderson 8i. Zanarini, 1987), utilize greater amounts of mental health .senTices than patients with other diagnoses such as depression (Bender et at. 2006) and commit suicide at a rate similar to patients with major de- pression and schizophrenia (10%; Black. Blum, Pfohl. & Hale, 2004; Zweig- Frank & Parts, 2002). Suicidal behavior is estimated to occur in up to 84% of patients with BPD (Black et al.. 2004; Soloff, Lynch. & Kelly, 2002), with a mean of 3.4 lifetime attempts per patient (Soloff. Lis, Kelly. Cornelius. & Ulrich. 1994). Accordingly, various models of BPD have been developed in an effort to From the Department of psychiatry. University of Pennsylvania. nus research was supported by a grant from the Nat!onal Institute of Mental Health (P30 MH451781.· , . Address correspondence to Sunil S. Ehar, Department of psychiatry. 3535 .Market St. Room 2034. University of Pennsylvania. Philadelphia. PA 19104; E-mail: [email protected] 165

Dysfunctional Beliefs and Psychopathology in Borderline Personality Disorder

  • Upload
    swin

  • View
    1

  • Download
    0

Embed Size (px)

Citation preview

Journal of Personality Disorders. 22(2), 165-177, 2008 «::J 2008 The Guilford Press

DYSFUNCTIONAL BELIEFS AND PSYCHOPATHOLOGY.IN BORDERLINE

; PERSONALITY DISORDER

Suni1 S. Bhar, PhD. Gregory K. Brown. PhD, and Aaron T. Beck. MD

This study exar;runed the factor structure of the BorderUne Personality Disorder suhscaJe of the Personality Beliefs Questionnaire (PBQ-BPD; Butler. Brown. Beck. & Grisham. 2002). and the relationships between the emergent factors and psychopathology. The sample comprised 184 patients diagnosed v.1th borderline personality disorder (BPD). Explor­atory factor analysis yielded three factors relatlng respectively to depen­dency. distrust. and the belief that one should act preemptively to avoid threat. Although the three factors were significantly associated With de­pression, only dependency and distrust significantly correlated with hopelessness. Distrust was the sale factor that correlated significantly With suicide ideation. These findings support the dimensional structure of the PBQ-BPD. Given its multidimensional structure. the'scaJe can be used as a measure of belief profiles associated with BPD and as an aid to conceptualizing beliefs underlying a range of psychopathology asso­ciated willi patients with BPD.

Borderline personality disorder (BPD) is a major health problem. The dis­order is assodated with considerable psychosocial impairment. a high de­gree of morbidity and a high burden on mental health resources. Patients with BPD constitute an estimated 15% to 20% of psychiatric inpatients (Gunderson 8i. Zanarini, 1987), utilize greater amounts of mental health

. senTices than patients with other diagnoses such as depression (Bender et at. 2006) and commit suicide at a rate similar to patients with major de­pression and schizophrenia (10%; Black. Blum, Pfohl. & Hale, 2004; Zweig­Frank & Parts, 2002). Suicidal behavior is estimated to occur in up to 84% of patients with BPD (Black et al.. 2004; Soloff, Lynch. & Kelly, 2002), with a mean of 3.4 lifetime attempts per patient (Soloff. Lis, Kelly. Cornelius. &

Ulrich. 1994). Accordingly, various models of BPD have been developed in an effort to

From the Department of psychiatry. University of Pennsylvania. nus research was supported by a grant from the Nat!onal Institute of Mental Health (P30 MH451781.· ,

. Address correspondence to Sunil S. Ehar, Department of psychiatry. 3535 .Market St. Room 2034. University of Pennsylvania. Philadelphia. PA 19104; E-mail: [email protected]

165

166 BHAR, BROWN, AND BECK

improve effectiveness of treatment approaches for BPO (reviewed in Beck, Freeman. Davis. & Associates. 2004). From the perspective of cognitive theory, dysfunctional beliefs represent a central aspect ofthe phenomenol­ogy of BPD (Beck et al.. 2004; Pretzer. 1990). These beliefs are said to influence how such individuals typically view themselves, others and the world, and thus to have an effect on the patient's interpersonal function­ing, negative affect. self-harm, and suicidal behavior. A wide number of beliefs have been implicated as characteristic of BPO, such as the belief that one will always be alone. the belief that one cannot manage without the support of others. a distrust in other people, a poor sense of direction in life, and beliefs such as one is unlovable. bad, vulnerable. and lacking in personal disCipline (Arntz. Dietzel. & Dreessen, 1999; Beck et al., 2004).

Beck and colleagues (Beck et al., 2004; Pretzer, 1990) have also hypoth­esized that the combination of paradoxical beliefs in BPD contributes to high levels of vigilance and instability in patients' mood and interpersonal behavior. The author~ proposed that patients who feel helpless without· the constant support of others, but who mistrust others would be prone to alternating between clinging to other people and pushing them away because. of distrust. Anecdotal eVidence has suggested that the presence of these contradictory beliefs place the patient in a "no win" situation where neither the desire for safety nor support is fulfilled. This unfulfilc

ment results not only in unstable attachment patterns but can lead to a range of difficulties such as depression and hopelessness (Layden, New­man, Freeman, & Morse, 1993).

The identification of dysfunctional beliefs in gPO, particularly ones that function in an antagonistic relationship with each other therefore repre­sents a critical step towards examining the cognitive underpinnings of the psychopathology in BPO. The Personality Beliefs Questionnaire (PBQ; Beck et al., 2001) is a l26-item self-report questionnaire and represents a promising instrument for measuring both dependent and distrust related beliefs in BPO. On the basis of the cognitive conceptualization of Beck. Freeman, and Associates (1990) the PBQ was developed to measure beliefs

. specific to a range of personality disorders (PDs). Although initially the PBQ items were not developed speCifically to capture beliefs central to BPD (Becket al., 2001), Butler and colleagues found that 14 items were signifi­cantly more strongly endorsed by BPD patients compared to patients with other PDs (Butler et aI., 2002). Despite being empirically derived, the sub­scale reflected cognitive themes central to the cognitive model of BPD such as dependency related beliefs (e.g., I am needy and weak) and distrust (e.g., People will take advantage of me if I give them the chance). The 14 items formed the BPO subscale of the PBQ (PBQ-BPD). Butler. Brown, Beck. and Grisham (2002) found that the subscale demonstrated good in­ternal reliability (alpha == .89). and good discriminant Validity. Specifically. BPD patients scored signlficantly higher on this subscale than non-BPD patients who had avoidant, dependent. obsessive-compulsive, antisocial, narcissistic, or paranoid personality disorders. BPD patients also were

1

! I

I

I

DYSFUNC1'lONALBELIEFS 167

found to score significantly higher on the PBQ-BPO than on other PBQ subscales associated "With other personali1y disorders (Butler et al., 2002).

However. the factor structure of the PBQ-BPD has yet to be investigated. An examination of the dimensions underlying the scale would further our understanding of the constructs measured by the su bscale. and would aid research on the specific relationships between BPD-relevant cognitions, including those that operate antagonistkally"With each other, and psycho­pathology aSSOciated "With this personality disorder. )'0 date, researchers using the PBQ-BPD to examine the cognitive model of BPD have employed either the sub scale's total score (Brown, Newman, Charlesworth. Crits­Christoph, & Beck, 2004) or indiVidual item scoreS (Wenzel. Chapman, Newman, Beck,"& Brown, 2006). Therefore, researchers have not been able to use the PBQ-BPD to explore hypotheses about the extent to which the different beliefs held by patients with BPD relate differently to the various types of pathology experienced by these patients. nor the impact of antago­nistic belief profiles on BPD related psychopathology.

For example, in research examining the efficacy of cognitive therapy for BPD, Brown et aL (2004) found that reductions in the total score of the . PBQ-BPD did not correlate significantly With changes in psychopathology associated with BPD, such as hopelessness, depreSSion, and suicide ide­ation. Although Brown et al.'s results suggest a lack of association be­tween the change in BPD-related beliefs and such psychopathology in BPD, perhaps only certain types of BPD-relevant beliefs are related to the symptoms measured. Factor analYSis of the PBQ-BPD therefore represents an important step towards furthering the usefulness of the scale for claTi­i)ing the association between beliefs and psychopathology in this patient group.

The primary purpose of this study was to extend the "psychometric inves­tigation of the PBQ·.gPO by examining the scale's factor structure for pa­tients diagnosed with BPD. On the basis of item content, we expected the factor analysis to generate factors reflecting themes of dependency and distrust. among others. Extending upon Brown et al. 's (2004) examination of the relat10nshiphetween BPO relevant beliefs and depreSSion, hopeless­nes~ and suicide ideation, we examined the extent to which factors of the PBQ-BPD differentially related to these types of psychopathology. We also examined the extent to which the interaction of beliefs that were antago­nistic towards pne another (e.g., dependence and distrust) was associated "With such psychopathology.

METHOD PARTICIPANTS

The sample comprised 184 patients diagnosed With BPD. Ninety-one of these subjects (49.5%) were outpatients who sought treatment between the years 1995 and 2000 at the Center for Cognitive Therapy, which is

168 BHAR, BROWN, AND BECK

part of the. D~partment of Psychiatry at the University of Pennsylvania's School of Medicine. The remaining 93 patients (50.5%) were participants of clinical trials at the University of Pennsylvania's Psychiatnc Research Unit. Of these research participants. 66 patients were enrolled in research on the effectiveness of CT on BPD, and 27 patients were enrolled in re­search examining the effectiveness of CT for preventing suicide attempts. These research patients completed the PBQ amongst other self report measures· at several points across a 2 year penod as part of the research assessment process. The CCT patients completed self report measures as part of their intake process. Baseline and intake assessments were used for the current study.

All patients were at least 18 years of age and were screened out for psy~ chotic disorders.· Axis I or II comorbidity was not a basis for exclusion. One hundred and eighty (97.3%) patients presented with Axis I coniorbid diagnoses, 84.2% of whom presented with a mood disorder. The mosHre~ quently occurring specific Axis I diagnoses were anxiety disorders (30.7%). major depressive disorders (25.2%) and substance related disorders (20.2%). One hundred and ten patients were assessed forcomorbid Axis II disorders, and 51 (46.4%) met criteria for other personality disorders- . most commonly dependent personality disorder (n = 12, 23.5%), personal­ity disorder not otherwise specified (n::: 11, 21. 6%) and obsessive compul­sive personality disorder (n = 8, 15.7%). The remaining 74 BPD patients were not assessed for comorbid Axis II disorders.

The mean age of the sample was 33.1 (range == 18-61; SD == 10.47). Fe­males comprised 75.4% of the sample. The racial composition of the sam­ple was 55.2% White, 28.2%· African-American, 5.0% Hispanic, 5.0% Asian, and 6.7% of unknown origin. Over a third (38.5%) of the partici­pants had never married, 16.8% were mamed. 8.9% were divorced, 17.9% separated. and 1.10% were widowed. In terms of employment status, 35.0% of participants were employed, 19.80% were unemployed, 28.8% were students, 15.1% were on disability. andl.ll% were retired. With respect to education,· 39.3% had a college degree, 49.7% had graduated from high school, and 11.0% had not graduated from high school.

MEASURES· Persqnality Beliefs Questionnaire-Borderline Personality Subscale (PBQ­

BPD). The PBQ-BPD is a 14 item subset of the PBQ . As previously stated, the PBQ is a 126-itemself-report measure·ofbeliefs related to personality disorders. The item content of the PBQ was based on beliefs endorsed by patients \Vith DSM-III-R personality disorders. The BPD subset was develc oped on the basis of PBQ items that discriminated 84 BPD patients from 204 patients \Vith other personality disorders (Butler et aI., 2002). This subset included items reflecting beliefs aSSOCiated With dependency, help­lessness, distrust. rejection/abandonment. losing emotional control and histrionic behavior .. Patients are asked to rate their endorsement of each of the 14 beliefs on a 0 to 4 Likert-type scale (0:= I don't believe it at all; 4 =

DYSFUNCTIONAL BELIEFS 169

J believe it totally). The subset has demonstrated adequate internal consis­Itency and discriminant validity (But1er et aI.; 2002).

Beck Depression Inventory-II (BDI; Beck, Steer. & Brown, 1996). The BDI is a 21-item self-report instrument used to measure the severity of depres­

, sion in adults and adolescents. Each of the 21 items is represented by four statements reflecting increasing levels of severity. and each item is rated

, from 0 to 3. The BDI is scored by summing the 21 ratings and the total score ranges from 0 to 63. The psychometriC properties of the BDI have been well established (Dozois. Dobson. & Ahnberg, 1998).

Scale Jor Suicida[ Ideation (SS1; Beck, Kovacs, & Weissman. 1979). The SSI is a 19-item interviewer-administered scale used to evaluate the cur~ rent intensity of the p~tient's specifIc attitudes, behavior, and plans to commit suicide. Each item consists of three options graded according to the intensity of the suicidality, using a 3-point scale ranging from 0 to 2. The ratings are summed to yield a total score ranging from 0 to 38. Individ­ual items assess characteristics such as the wish to die, desire to make an "l-ctiveor passive suicide attempt, duration and frequency of ideation, sense of control over making an attempt, number of deterrents. and amount of actual preparation for a contemplated attempt. The SSI has been found to have moderately high internal consistency and good concur­rent and discriminant validity for psychiatric outpatients (Beck, Brown, & Steer, 1997).

Beck Hopelessness Scale (BHS; Beck & Steer, 1993). The BHS consists of 20 true-false statements designed to assess the extent of positive and negative beliefs about the future. It is scored by summing keyed responses for hopelessness for each of the 20 items. The BHS total score ranges from o to 20. Adequate internal reliability has been reported for the BHS across diverse clinical and nonclinical populations. with KR-208 typically in the .80s. The correlations for the BHS with clinical ratings of hopelessness are in the .70s (Beck & Steer. 1993).

PROCEDURE

Patients were diagnosed for Axis 1 disorders according to the Structured Clinical Interview for the DSM-II1-R (SCID-III-R; Spitzer, Williams, Gibbon, & First, 1990) or Structured Clinical Interview for the DSM-IV {SCID-IV; First, Spitzer, Gibbon, & Williams, 1995; First, Spitzer. Gibbon, Williams, & Benjamin, 1995). One hundred and ten patients (59.8%) were assessed for Axis II disorders using the SeIDs, while the remaining 74 (40.2%) pa­tients were assessed only for BPD using the BPD module of the Diagnostic Interview for DSM-IV Personality Disorders (DIPD-IV; Zananni, Franken­burg. Sickel, & Yong, 1996). Good to excellent interrater reliability indices have been reported for the SCIDs [kappas = .48 to .954: Maffei et al., 1997) and BPD mo.dule ofllie DIPD-IV (median kappa = .68: ZanaJini et aI., 2000). Assessors were postdoctoral or masters level clinicians who had received training on the assessment measures prior to conducting diagnostic evalu-

170 BHAR, BROWN, AND BECK

ations. Self-report measures were administered to patients following the interview. All participants completed the measures prior to beginning treatment.

RESULTS DIMENSIONS OF THE PBQ-BPD

The dimensional structure of the PBQ-BPDwas investigated though prin­cipal axis factor analysis (PAF) procedures. The PAF strategy was selected over principal components analysis to account for unreliability in each item's measurement {Thompson, 2004). Exploratory factor analysis was employed rather than confirmatory approaches in order to avoid restric;t­jng the number and content of factors of the subscale.

The number offactors to be extracted was basedon Cattell's (1966) scree test and confirmed using Horn's (1965) parallel analysis (Zwick & Velicer, 1986). Parallel analysis involves comparing eigenvalues in the actual and randomly ordered data. Factors are retained when the eigenvalues in the actual data exceed the corresponding eigenvalues in the randomly ordered data (Thompson, 2004). Three factors emerged with eigenvalues greater than l.0. Examination of the scree plot also suggested that 3 fact.ors COIn­

prised the most appropriate solution. The eigenvalues for the first, second, and third factors were 5.26, 2.02, and 1.21, respectively, and together ac­counted for 50% of the variance. Results from the parallel analysis con­firmed that the eigenvalues for the first three factors in the actual data exceeded the corresponding eigenvalues in the randomly ordered data (0.68,0.53,0.46). Thus, the three-factor solution was retained . . Based on the assumption that these factors would be intercorrelated,

the fa~tor loadings were subjected to oblique (Promax) rotation. Table 1 displays the pattern matrix of the factor loadings. Items that loaded at least .40 on one factor were assigned to a specific factor based on its high­est loading. The first factor was interpreted asrefiectmg the belief that other people are untru.stworthy, potentially abusive, and exploitative (dis­trust factor). The second factor was interpreted as reflecting beliefs about the self as needy, helpless, and reliant on the constant support of others (dependency factor}. The third factor was interpreted as reflechng the be­lief that it is necessary to take preemptive steps in order to protect oneself from adverse interpersonal outcomes such as being ignored, rejected, or emotionally attacked (protection factor).

Items with significant loadings on the same factor were summed to. de­rive factor scale scores for distrust (Cronbach's ex::::: .87, item total correla­tions range from .85 to ,86, M::::: 10.9; SD::::: 5.8), dependency (ex = .87,item total correlations range from .83 to .87; M:::::. 8.0; SD::= 4.1), and protection (ex = .75, item total correlations range from .64 to .78; M = 4.9; SD::::: 3.23, Two items were not included in the calculation of factor scales because the difference in their loadings on two or more factors was less than 0.1 .(Item

'. '/

I

DYSFUNCTIONAL BELIEFS

TABLE 1. Title in Protnax-Rotated Iterated Principal Axis Factor Standardized Regression Coeffieients of the PBQ-BPD

125. People often say one thing and mean something else 126. A person whom I am close to could be dlsloyal or unfaithful 116. I have to be on guard at all times 119. People will take advantage of me If I give them. the chance. .113. 1 cannot trust other people

4. If people get close to me. they will discover the real me and reject me 9. Unpleasant feelings will escalate and get out of control

15. I am needy and weak 27. I can't cope as other people can 18. I am helpless when left on my o,"\'n 16. I need somebody around available at all times to help me carry out

what I need to do or in ease something bad happens. 60. People will get me if I don't get them first 97. People will pay attention only if I act in extreme ways 13. Any signs of tension in a relationship indicate that the relationship

has gone bad; therefore I should cut it off. Note. Factor loadings 2 .40 appear in bold. "These !terns are not included In the calculation of factor scale scores.

Factor

1 2

.85 .03

.80 .07

.71 -.16

.71 -.03

.53 -.05

.47. .37

.40. .38 -.01 .75

.21 .57 -.21 .56

-.14 .52 .09 -.13 .02 .13

.22 .05

171

3

-.09 -,.15

.33

.13

.26

.02 -.06 -.04 -.19

.38

.36 .68 .48

.48

4: If people get close to me, they will discover the real me and rejecime; Item 9: Unpleasant feelings will escalate and get out of control), The three factors were significantly intercorrelated: Distrust correlated significantly with Dependency, r= .28, p< .001, and Protection, r= .47, p< .001. De­pendency correlated significantly with Protection, r= .45, p < .001.

ASSOCIATIONS BETWEEN FACTORS AND MEASURES OF PSYCHOPATHOLOGY

In order to select the appropriate statistical tests for associations between the variables, distributions of all 6 variables (3 factors and 3 measures of psychopathology) were inspected for normality. Normal distributions were found for all variables. except for suicide ideation as measured by the SSI. The distribution for the SSI was bimodal. On the basis of previous re­search (Brown, Beck, Steer, & Grisham. 2000) showing that risk for sui­cide was significantly greater for patients with an S8I score greater than 1, the total scores on the SSI were therefore dichotomized into reflecting low suicide ideation (scores ::;;1) or high suicide ideation (scores >1).

The associations between the PBQ-BPD facLors and measures of psycho­pathology were examined through zero and partial correlational analyses, analyses of variance (ANOVAs) and logistic regreSSion analysis. Correla-

. tions between the variables are shown in Table 2. The distrust factor corre­lated signifkantly with -all three measures of psychopathology. The depen­dency factor correlated significantly with depression and hopelessness. The protection factor correlated significantly with depression.

Given the intercorrelations among the PBQ-BPD factors, we examined partial correlations between each factor and measures of psychopathology.

172 BHAR, BROWN, .AND BECK

TABLE 2. Zero-Order Correlations and Partial Correlations between Factors , of the PBQ-BPD and Measures of Psychopathology

PBQ-BPD subscales Controls BOI BHS ssm Distrust None .41·'* .39*** ,35"··

Dependency, Protection. Mood Disorder .35·** .31*" ,41 0 ** Dependency None .37*"· ,30·· .13 ns

Distrust, Protection. Mood Disorder .36.... .23* -,00 ns Protection None .20· .17ns .09 ns

Dependency, Distrust, Mood Disorder -.16 ns -.09 ns -.12 ns Note. Distrust", Distrust factor of the PBQ-BPD; Dependency = Dependency factor of the PBQ-BPD; Protection: Preemptive Protection factor of the PBQ-BPD; Mood Disorder = BHS: Beck Hopelessness Scale; BDI = Beck Depression Inventory-II; ssm", Scale for Suicide Ideation dichotomized into high (scores >1) and low (scores ::;;1) categories; N = 118-184. *p < .05; '*p < .005; ".p < .001; IlS'" nonsignificant

while controlling for the other two PBQ-BPD factors. In addition, we also examined whether the presence of mood disorders (dichotomized as pres­ent or absent) accounted for associations between the factors and mea­sures of psychopathology_ The partial and zero order correlational analy­ses showed a similar pattern of associations between the variables {Table 2). However, after controlling for the presence of mood disorders and two PBQ-BPD factors, the protection factor no longer correlated significantly with any measure of psychopathology.

In order to investigate whether the presence of antagonistic beliefs was associated with high levels of psychopathology, two types of analyses were conducted. First. a logistic regression was perfonned to examine the joint contributions of distrust and dependency to suicide ideation. Distrust and dependency were standardized and entered before the interaction term. Distrust emerged as the onlysignificant predictor of SS!, B (1)::: .78, p< .001. Neither dependency, B. (1) =.05, p == .81, nor its interaction with dis­trust, B (1) = .74, P = .70, significantly added to the prediction of SSI.

Next. we examined whether patients with antagonistic belief profiles­i.e., with high scores on both the distrust and dependency factors, demon­strated higher levels of depression and hopelessness than patients who scored high on only one of the factors. Two separate 2 by 2 ANOVAs were conducted. The factor levels were distrust and dependency dichotomized as low and high, according to a median split of the scores. In the first ANOV A. depression was the depend'ent variable (DVJ and in the second, hopelessness was the DV. The assumption of equality of error variance was met for both analyses, F (3, 148) = 2.58, P"" .06, for depression; F[3, 105) = .83, P = .48, for hopelessness_ The interaction between distrust and dependency was not significant in either ANOVA, F (1, 148) == 1.69,p =.20 with depression as DV; F(I, 105) ::: 0.01, p = .93, with hopelessness as DV. Main effects 'for distrust, F (1, 148) = 18.60, p < .00l and dependency, F (1, 148) ::= 6.62, p <..05, were significant for depression. Depression scores were significantly higher for the high distrust group (M = 37.5, SD"" 11.3) than the low distrust group (M"" 28.0, SD = 12.6). Depression was also sig-

'.

DYSFUNCTIONAL BELIEFS 173

rtificantly higher in the high dependency group (M = 136.4, SD = 12.2) than in the low dependency groups (M= 29.9, SD= 12.7). The two~way ANOVA on hopelessness yielded a main effect for distrust, F (1,105) = ~.74, P < .05, such that hopelessness was significantly higher in the high distrust group (M = 14.5, SD =6.2) than the low distrust group (M:::: 10.6, SD = 5.4). However, hopelessness was no! significantly different between the low and high dependency groups, F (1, 108) = 2.24, p == . 10. These re­$ults showed that patients With antagonistic belief profiles were not signifi­cantly more depressed or hopeless than patients scoring high on either j:he distrust or dependency factors (Table 3).

DISCUSSION· This study examined the factor structure of the PBQ-BPD subscale and the associations between belief dimensions and psychopathology in BPD. 'Factor analysis revealed that the 14-item sub scale was explained by three 'factors reflecting the belief that one is helpless Without the constant sup­portof other people (dependency factor), the expectation of betrayal, ex­ploitation and dishonesty from others (distrust factor) and the view that it is necessary to preemptively take steps to prevent being attacked, ignored or rejected (protection factor).

The factor structure of the PBQ-BPD is consistent with the cognitive : model of BPD which characterizes the central cognitive mechanisms in • BPD as involving dysfunctional beliefs of self as helpless and others as . untrusnvorthy (Beck et aI., 2004; Butler et aI., 2002; Pretzer, 1990) and impulses to engage in defensive behaviors in a preemptive manner in order to avoid being hurt, exploited, or hanned (Layden et al., 1993; Young, 1994).

Two items from the BPD subscale did not load clearly on any single fac­tor, but rather loaded highly on both dependency and distrust factors .

. These items reflect additional beliefs that may need to be examined in BPD. ihe first item, "If people are close to me, they will discover the real me and reject me," appeared to reflect a sense of badness about oneself­that one is essentially unworthy of love, a belief pattern suggested to be highly r~levant for patients With BPD (Arntz, Dreessen, Schouten, & Weert­man, 2004). The second item, "Unpleasant feelings Will escalate and get

TABLE 3. Means (standard deviations) of BDI and BHS for BPD Patients with High versus Low Distrust and Dependency

Low Distrust High Distrust

BDl BHS

Low Dependency 25.18 (13.02)"

9.76 (5.42)'

High Dependency 32.70 (10.53}b 11.58 (5.32)'

Low Dependency 36.09 (9.16}C 13.27 (6.42)8

High Dependency 38.57 (12.61}d 15.28 (5.92),

Note. PBQ-BPD = Borderline Personality Disorder subscale of the Personality Beliefs Questionnaire; Distrust = Distrust factor of the PBQ-BPD; Dependency = Depen­dency factor of the PBQ-BPD; BHS = Beck Hopelessness Scale; BDI '" Beck Depres-sion Inventory-H. . an = 45; on = 27; en = 34; dn ", 46; en = 25; fn = 19: gn = 26; "n = 39.

174 BHAR, BROWN, AND BECK

out of control." reflects a sense of personal helplessness about controlling one's emotions-a belief consistent with Linehan's cognltive-qehavioral model of BPD (Linehan, 1993) which portrays patients with BPD as having, difficulties in emotional regulation. '

Associations between the three factors and various measures of psycho­pathology were also explored, Each factor was found to be associated'With a different set of psychopathology. The distrust factor related to depres­Sion, hopelessness, and suicide ideation. The dependency factor related significantly to depression and hopelessness; and finally, preemptive pro­tection related marginally at best to depression. The association of depen­dency with depression and hopelessness is consistent With previous re­search on cognitive processes in depression and hopelessness (Bieling & Alden, 1998; Robins & Luten, 1991; Zuroff, 19reja, & Mongrain, 1990). The association of interpersonal distrust with hopelessness, depressive symp­toms. and suicidal ideation is also reflective of other studies that have shown associations between paranoid ideation, depressive symptoms, and suicide attempts (Candido & Romney. 2002; Evren &. Ewen. 2004; Ozkan & Altindag, 2005; Pompili et al., 2005).

Interestingly. beliefs about the need to act preemptively in order to pro­tect oneself was not significantly.associated with hopelessness or suicide ideation. and only marginally associated with depression. This finding is inconsistent With conjectures made by clinicians regarding the dysfunc­tional outcomes associated with preemptive protective behaviors (Layden et al.. 1993; Young, 1994). Beliefs about the need to act before one is aban­doned' ignored or rejected may in fact provide patients with BPD an expec­tation that threat can be avoided. and thus provide protection against hopelessness and despair. Thus. the actualization of those beliefs rather

. than the beliefs themselves maybe associated with negative consequences. Alternatively, preemptive protection may be associated with a different type of psychopathology that was not assessed in this study such as anger, poor impulse control, loneliness, and poor social functioning.

Finally, no interaction effect was found between dependency and dis­trust in terms of explaining levels of depression, hopelessness, or suicidal ideation. This finding is also inconsistent with clinical observations that antagonism between paradoXical beliefs underlies in part the negative af­fects in BPD (Layden et al., 1993). One reason for the absence of a signifi­cant relationship between paradoXical beliefs in BPDand psychopathology may be because of the type of psychopathology examined in this study. Pretzer (1990) suggested that the combination of dependency related be­liefs (e;g., I am powerless and vulnerable) and distrust related beliefs (e.g., The world is dangerous and malevolent) forces the BPD patient to vacillate between autonomy and dependence Without being able to rely on either. According to Pretzer's formulation, a patient with such assumptions would oscillate between seeking closeness with others and pushing them away because of distrust. While these assumptions appear not associated with depression, hopelessness, or suicide ideation. their aSSOCiation with er­ratic interpersonal patterns remains to be investigated.

T

DYSFUNCTIONAL BELIEFS 175

This study has limitations that may be addressed through further re­search. First, the study did not replicate the factor structure of the PBQ­BPO subscale in a separate sample, nor examine whether the factor struc­ture differed across sex arid ethnic variables. The sample size available for analysis in this study was nbt suffiCiently large enough to allow for an examination of the factor structure in different cohorts (Guadagnoli & Vel­icer, 1988). Although the number offactors was validated through parallel analYSiS, futur~ research W"m need to examine the stability of the obtained factor structure. Second, causality between beliefs and psychopathology has not been tested in this study. This assumption is embedded within the cognitive theory of psychopathology, which remains to be tested for BPO. Further research is required, using longitudinal or experimental methods, to test for the contributions of beliefs to psychopathology in BPO. Third, other beliefs hypothesized to be central to BPO such as those relat­ing to badness or a lack of emotional control (Arntz et al.. 1999; Arntz et al., 2004; Young, 1994) are not adequately measured by the PBQ-BPO. Hence, when assessing BPD patients, it is important to assess such beliefs in addition to those identified in our study.

Fourth, further research needs to explore the extent to which our find­ings are specific to BPO, or apply more broadly to other populations. We did not assess for comorbid Axis II disorders in 74 of 184 patients in our sample, nor control for comorbid disorders in our analyses. The extent to which comorbidity accounts for the factor structure of the EPO-PBQ, and for relationships between these factors and psychopathology remains to be investigated. Similarly, more research also needs to examine whether the three belief factors assessed by the PBQ-BPO are more highly endorsed by patients with BPO, compared to normal and other psychiatric controls. Some authors have also suggested that there are several subtypes of BPO and that these subtypes may differ with regards to their belief profiles (Layden et al .. 1993). Therefore, future research would need to assess for the specificity and sensitivity of the three factors for the different BPD sub­types and across other populations.

The study findings have implications for the assessment and treatment of BPO. Using the three-factor structure of the PBQ-BPD, clinicians may better identifY the type of belief dimension strongly held by a particular patient with BPO. For example, rather than employ the PBQ-BPD simply as a measure of intenSity of BPO beliefs in general. clinicians may utilize the measure to help develop a conceptualization of the patient's belief pro­file. By identifYing the most relevant beliefs, the therapist may have more specific information to develop a cognitive conceptualization of the pa­tient's problem; devise more focused interventions and develop a produc­tive therapeutic relationship (Layden et al., 1993). For example, clinicians who assess that the patients have a strong distrust of others may avoid interventions such as relaxati.on training. which presume a level of trust in the therapeutic relationship. Instead, the clinician may deliberately ad­dress the patient's beliefs. doubts. and suspicions about therapy in the context of developing the collaborative relationship before being more di-

176 BHAR. BROWN, AND BECK

rective. A multidimensional PBQ-BPD can be a useful tool to help clini­cians better conceptualize their patients' problems aI)d choose the most appropriate intervention strategy.

REFERENCES

Arntz, A., Dietzel. R, & Dreessen, L. (1999). Assumptions in borderline personality disorder: Specificity, stability and rela­tionship with etiological factors. Be­haviour Research and Therapy, 37. 545-557.

Arntz, A, Dreessen, L.. Schouten, E., & Weertman, A (2004), Beliefs in per­sonality disorders: A test with the Per­sonality Disorder Belief Questionnaire. Behaviour Research and Therapy, 42, 1215-1225.

Beck: A T .. Brown, G, K.. & Steer, R A (1997). Psychometric characteristics of the scale for suicide ideation with psy­chiatric outpatients, Behaviour Re­search and Therapy. 35, 1039-1046.

Beck. AT., Butler. A C .. Brown. G. K.. Dahls­gaard. K. K.. Newman, C. F., & Beck. J. S, (2001). Dysfunctional beliefs dis­criminate personality disorders, Be­haviour Research & Therapy, 39, 1213-1225. .

Beck, A. T., Freeman, A .. & Associates. (1990). Cognitive therapy of personal­ity disOl·ders. New York: The Guildford Press.

Beck, A. T,; Freeman. A. DaviS. D. D .. & As­sociates. (2004). Cognitive therapy of personality disorders (2nd ed.), New York: The Guildford Press.

Beck. A T., Kovacs. M .• & Weissman. A. (1979). Assessment of suicidal Inten­tion:The Scale for Suicide Ideation. Journal qf Consulting and CHnical Psy­chology, 47. 343-352.

Beck, A. T., & Steer.R A (1993). Manualfor the Beck Hopelessness Scale. San An­tonio. TX: Psychological Corporation.

Beck. A T., Steer. R, & Brown. G. (1996). Beck Depression Inventory Manual (2nd ed.). San Antonio. TX: Psychologi­cal Corporation.

Bender. D. S .• Skodol. A E,. Pagano, M. E., Dyck, L R.. Grilo. C. M., Shea. M. T .. et al. (2006). Prospective assessment of treatment use by patients with per­sonality disorders. Psychiatric Services, 57. 254-257.

Bieling, P. J .. & Alden. L, E. (1998). Cogni­tive-interpersonal patterns in dyspho­ria: The impact of sociotropyand au­tonomy. Cognitive Therapy & Research. 22, 161-178.

Black. D. W .. Blum. N .. Pfohl, B., & Hale. N. (2004]. Suicidal behavior In borderline personality disorder: Prevalence. risk factors, prediction, and prevention. Journal of Personality Disorders. 18. 2_26-239.

Brown. G. K.. Beck, A. T .. Steer. R A, & Grisham. J. R (2000). Risk factors for suicide in psychiatriC outpatients: A 20-year prospective study. Journal of

. COTlSulting and Clinical Psychology. 68. 371-377.

Brown. G. K .. Newman. C. F .. Charlesworth. S. E.. Crits-Christoph. P .. & Beck. A. T. (2004). An open clinical trial of cognitive therapy for borderline per­sonality disorder. Journal of Personal' ity Disorders. 18. 257-271.

Butler. A C., Brown, G. K.. Beck. A. T .. & Grisham, J. R. (2002). Assessment of dysfunctional beliefs in borderline per­sonality disorder. Behaviour Research & Therapy. 40.1231-1240.

Candido, C. L.. & Romney. D. M. (2002). De­pression in paranoid and nonparanoid schizophrenic patients compared with major depressive disorder. Journal of Affective Disorders, 70.261-271.

Cattell, R. B. (1966). The scree test of the .number of factors. Multivariate Behav­wraIResearch.1,245-276.

Dozots, D.J.A.. Dobson. K. S .. & Ahnberg. J. L. (1998). A psychometric evalua­tion of the Beck Depression Inventory­II. Psychological Assessment, 10.83-89.

Evren. C .• & Evren. B. (2004). Characteris­tics of schizophrenic patients with a history of suicide attempt. Interna­tional Journal of Psychiatry in Clinical Practice. 8. 227-234.

First, M. B .• Spitzer, R. L.. Gibbon. M .• &Wil­. Iiams. J. B. (1995). User's gUide for the

Structured. Clinical Interview for DSM­N Axis 1 Disorders (SClD-IIP). (Version

DYSFUNCTIONAL BELIEFS

2.0). Unpublished manuscrtpt, Bio­metrics Research Department, New York State Psychiatrtc Institute.

First, M. B., Spitzer, R L.. Gibbon, M., Wll­Iiams. J. B .• & Benjamin, L. (1995). Us­er's gUidejor the Structured Clinical In­terview jor DSM-N Axis II disorders (SCID-II) Unpublished manuscript, Biometrics Research Department. New York State Psychiatric Institute.

Guadagnoli. E .. &Velicer. W. F (1988). Rela­tion to sample size to the stability of component patterns. Psychological Bul­letin, 103,265-275.

Gunderson. J. G., & Zanarin1. M. C. (1987). Current overview of the borderline di­agnosis. Journal oj CUnical Psychiatry. 48.5-11.

Hom, J. L. (1965). A rationale and test for the number of factors In factor analy­sis. Psychomet[ka, 30. 179-185.

Layden, M. A.. Newman. C. F .. Freeman. A .• & Morse, S. B. (1993). Cognitive ther' apy oj borderline personality disorder. Needham Heights. MA: Allyn & Bacon.

Linehan. M. M. (1993). Cognitive-behavioral treatment oj borderline personality dis­order. New York, NY: Guildford Press.

Maffei. C., fi'Qssati, A., Ago stoni , I., Barraco, A., Bagnato, M., Deborah, D., et al. (1997). Intenater reliability and inter­nal consistency of the Structured Clin­ical Interview for DSM-N Axis II Per­sonality Disorders (SCID-lIl. version 2.0. Journal oj Personality Disorders, 11, ~79-284.

Ozkan. M .. & Altindag. A. (2005). Comorbid personality disorders in subjects with panic disorder: Do personality disor­ders increase clinical severity? Com­prehensive Psychiatry, 46. 20-26.

Pompili, M., Mancinelll. }., Ruberto, A.. Kotzal­idis, G. D., Girardi. P.,& Tatarelli, R (2005). Where schizophrenic patients commit suicide: A review of suicide among inpatients and fonner inpa­tients. International Journal oj' Psychi­atry in Medicine, 35,171-190.

Pretzer, J. L (1990). Borderline personality disorder. In A. T. Beck, A. Freeman & Associates (Eds.), Cognitive therapy oj personality disorders (pp.' 176-207). New York: GuiJdfard.

Robins, C. J., & Ll.lten, A. G. (1991). Socia­tropy and autonomy: Differential Pflt­terns of clinical presentation in unipo­lar depression. JournaL oj Abnormal Psychology, 100, 74-77.

177

Soloff, P. H., Lis, J. A., Kelly, T., Cornelius, J. R, & Ulrich, R (1994), Risk factors for suicidal behavior in borderline per­sonality disorder. American Journal oj Psychiatry, 151, 1316-1323.

Soloff, P. H., Lynch, K. G., & Kelly, T. M. (2002). Childhood abuse as a risk fac­tor for suicidal behavior in borderline personality disorder. Journal oj Per­sonality Disorders, 16,201-214.

Spitzer, R L., Williams, J.B.W .. Gibbon. M., & First, M. B. (1990). User's guideJor the structured clinical intervieW jor DSM-IJ[-R: SCID. Washington, DC: American Psychiatric Association.

Thompson, B. (2004). Exploratory and confir­matory jactor analysis: Understanding concepts and applications. Washing­ton, DC: Amertcan Psychological Asso-ciation. .

Wenzel, A., Chapman, J. E., Newman, C. F., Beck. A. T., & Brown, G. K. (2006). Hy­pothesized mechanisms of change In cognitive therapy for borderline per­sonality disorder. JournaL oj Clinical Psychology, 62, 503-516.

Young. J, (1994). Cognitive therapy Jar per~ sonality disorders: A schema.-jocussed approach (Revised ed.). Sarasota: Pro­feSSional Resource Press.

Zanarini. M. C., Frankenburg, F. R, Sickel, A. E., & Yong, L. (1996). The diagnostic interview jor DSM-N personalitydisor- . ders. Belmont, MA: Mclean Hospital, Laboratory for the Study of Adult De­velopment.

Zanarini, M. C., Skodo!, A. E., Bender, D .. Dolan, R. Sanlslow, C., Schaefer, E., et al. (2000). The Collaborattve Longi­tUdinal Personality Disorders Study: Reliability of }\Jds I and II diagnoses. Journal oj Personality Disorders. 14, 291-299.

Zuroff, D. C., Igreja,I., & Mongrain, M. (1990) Dysfunctional attitudes, de­pendency, and self-Criticism as predic­tors of depreSSive mood states: A 12-month longitudinal study. Cognitive Therapy & Research, 14, 315-326.

Zweig-Frank. B .• & Paris. J. (2002). Predic­tors of outcome in a 27-year follow-up of patients with borderline personality disorder. Comprehensive Psychiatry, 43.103-107.

Zwick, W. R, & Ve!icer, W. F. (1986). Com­parison of five rl.lles for detem1ining the number of components to retain. Psychological BuUetin. 99, 432-442.