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Journal articles on the topic "Cluster C personality disorders"

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Chioqueta, Andrea P., and Tore C. Stiles. "Assessing Suicide Risk in Cluster C Personality Disorders." Crisis 25, no. 3 (May 2004): 128–33. http://dx.doi.org/10.1027/0227-5910.25.3.128.

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Abstract: The aim of the study was to assess suicide risk in psychiatric outpatients with specific cluster C personality disorders (avoidant, dependent, and obsessive-compulsive). A sample of 142 psychiatric outpatients was used for the study. The sample was composed of 87 outpatients meeting diagnostic criteria for a personality disorder and 53 psychiatric outpatients meeting criteria for an axis I disorder only. The results showed that dependent, but not avoidant or obsessive-compulsive, personality disorders, as well as the clusters A and B personality disorders, were significantly associated with suicide attempts. This association remained significant after controlling for both a lifetime depressive disorder and severity of depression for the cluster A and the cluster B personality disorders, but not for dependent personality disorder. The results underline the importance of assessing suicide risk in patients with cluster A and cluster B personality disorders, while the assessment of suicide risk in patients with cluster C personality disorders seems to be irrelevant as long as assessment of a comorbid depressive disorder is appropriately conducted.
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Huang, Yueqin, Roman Kotov, Giovanni de Girolamo, Antonio Preti, Matthias Angermeyer, Corina Benjet, Koen Demyttenaere, et al. "DSM–IV personality disorders in the WHO World Mental Health Surveys." British Journal of Psychiatry 195, no. 1 (July 2009): 46–53. http://dx.doi.org/10.1192/bjp.bp.108.058552.

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BackgroundLittle is known about the cross-national population prevalence or correlates of personality disorders.AimsTo estimate prevalence and correlates of DSM–IV personality disorder clusters in the World Health Organization World Mental Health (WMH) Surveys.MethodInternational Personality Disorder Examination (IPDE) screening questions in 13 countries (n = 21 162) were calibrated to masked IPDE clinical diagnoses. Prevalence and correlates were estimated using multiple imputation.ResultsPrevalence estimates are 6.1% (s.e. = 0.3) for any personality disorder and 3.6% (s.e. = 0.3), 1.5% (s.e. = 0.1) and 2.7% (s.e. = 0.2) for Clusters A, B and C respectively. Personality disorders are significantly elevated among males, the previously married (Cluster C), unemployed (Cluster C), the young (Clusters A and B) and the poorly educated. Personality disorders are highly comorbid with Axis I disorders. Impairments associated with personality disorders are only partially explained by comorbidity.ConclusionsPersonality disorders are relatively common disorders that often co-occur with Axis I disorders and are associated with significant role impairments beyond those due to comorbidity.
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Samuels, Jack, William W. Eaton, O. Joseph Bienvenu, Clayton H. Brown, Paul T. Costa, and Gerald Nestadt. "Prevalence and correlates of personality disorders in a community sample." British Journal of Psychiatry 180, no. 06 (June 2002): 536–42. http://dx.doi.org/10.1192/bjp.180.6.536.

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Background Knowledge of the prevalence and correlates of personality disorders in the community is important for identifying treatment needs and for provision of psychiatric services. Aims To estimate the prevalence of personality disorders in a community sample and to identify demographic subgroups with especially high prevalence. Method Clinical psychologists used the International Personality Disorder Examination to assess DSM-IV and ICD-10 personality disorders in a sample of 742 subjects, ages 34–94 years, residing in Baltimore, Maryland. Logistic regression was used to evaluate the association between demographic characteristics and DSM - IV personality disorder clusters. Results The estimated overall prevalence of DSM - IV personality disorders was 9%. Cluster A disorders were most prevalent in men who had never married. Cluster B disorders were most prevalent in young men without a high school degree, and cluster C disorders in high school graduates who had never married. Conclusions Approximately 9% of this community sample has a DSM-IV personality disorder. Personality disorders are over-represented in certain demographic subgroups of the community
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Nordahl, Hans M., and Tore C. Stiles. "THE SPECIFICITY OF COGNITIVE PERSONALITY DIMENSIONS IN CLUSTER C PERSONALITY DISORDERS." Behavioural and Cognitive Psychotherapy 28, no. 3 (July 2000): 235–46. http://dx.doi.org/10.1017/s1352465800003040.

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The aim of the study was to examine whether there are specific cognitive personality traits that are related to specific cluster C personality disorders as suggested by Beck's cognitive model. The study included 135 psychiatric outpatients and 41 healthy controls. The subjects were diagnosed according to DSM-III-R axis I and axis II. The cognitive dimensions of sociotropy, autonomy and dysfunctional attitudes were assessed. The results indicated some cognitive specificity, especially when the effects of a lifetime depressive disorder were statistically controlled for. Dependent personality disorder was significantly associated with higher scores on all sociotropic subscales and dysfunctional attitudes. Avoidant personality disorder was significantly associated with the sociotropic subscales “concern about disapproval” and “pleasing others” as well as dysfunctional attitudes, while obsessive-compulsive personality disorder was associated with only higher scores on the sociotropic subscale “concern about disapproval”.
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Benjet, Corina, Guilherme Borges, and Maria Elena Medina-Mora. "DSM-IV personality disorders in Mexico: results from a general population survey." Revista Brasileira de Psiquiatria 30, no. 3 (September 2008): 227–34. http://dx.doi.org/10.1590/s1516-44462008000300009.

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OBJECTIVE: This paper reports the first population estimates of prevalence and correlates of personality disorders in the Mexican population. METHOD: Personality disorders screening questions from the International Personality Disorder Examination were administered to a representative sample of the Mexican urban adult population (n = 2,362) as part of the Mexican National Comorbidity Survey, validated with clinical evaluations conducted in the United States. A multiple imputation method was then implemented to estimate prevalence and correlates of personality disorder in the Mexican sample. RESULTS: Multiple imputation method prevalence estimates were 4.6% Cluster A, 1.6% Cluster B, 2.4% Cluster C, and 6.1% any personality disorder. All personality disorders clusters were significantly comorbid with DSM-IV Axis I disorders. One in every five persons with an Axis I disorder in Mexico is likely to have a comorbid personality disorder, and almost half of those with a personality disorder are likely to have an Axis I disorder. CONCLUSIONS: Modest associations of personality disorders with impairment and strong associations with treatment utilization were largely accounted for by Axis I comorbidity suggesting that the public health significance of personality disorders lies in their comorbidity with, and perhaps effects upon, Axis I disorders rather than their direct effects on functioning and help seeking.
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Muquebil Ali Al Shaban Rodriguez, O. W., J. R. López Fernández, C. Huergo Lora, S. Ocio León, M. J. Hernández González, A. Alonso Huerta, M. Gómez Simón, et al. "Personality Disorders and Suicide Attempts." European Psychiatry 33, S1 (March 2016): S506. http://dx.doi.org/10.1016/j.eurpsy.2016.01.1867.

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IntroductionThe personality disorders are defined according to the DSM-5 like “an enduring maladaptive patterns of behavior, cognition and inner experience, exhibited across many contexts and deviating markedly from those accepted by the individual's cultures. These patterns develop in adolescence and the beginning of adulthood, and are associated with significant distress or disability”. The personality disorders can be a risk factor for different processes of the psychiatric pathology like suicide. The personality disorders are classified in 3 groups according to the DSM-5:– cluster A (strange subjects): paranoid, schizoid and schizotypal;– cluster B (immature subjects): antisocial, bordeline, histrionic and narcissistic;– cluster C (frightened subjects): avoidant, dependent and obsessive-compulsive.AimsTo describe the influence of personality disorders in suicide attempts.MethodologyExhibition of clinical cases.ResultsIn this case report, we exhibit three clinical cases of suicide attempts which correspond to a type of personality disorder belonging to each of the three big groups of the DSM-5 classification, specifically the paranoid disorder of the cluster A, the disorder borderline of cluster B and the obsessive compulsive of cluster C.ConclusionsThe personality disorders have a clear relation with the suicide attempts, increasing this influence in some of them, especially the borderline personality disorder.Disclosure of interestThe authors have not supplied their declaration of competing interest.
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Oliva, F., S. Bramante, A. Portigliatti Pomeri, C. Carezana, G. Nibbio, C. Mangiapane, and G. Maina. "Personality Traits and Disorders Among Adult ADHD Patients: Is Borderline Personality Disorder as Common as we Expect?" European Psychiatry 41, S1 (April 2017): S258. http://dx.doi.org/10.1016/j.eurpsy.2017.02.060.

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IntroductionPatients with Attention Deficit/Hyperactivity Disorder (ADHD) have shown a high risk to develop a DSM cluster B (i.e., Borderline, OR = 13.16; Antisocial, OR = 3.03; Narcissistic, OR = 8.69) and DSM Avoidant personality disorder (OR = 9.77). Similarly, higher rates of DSM cluster B personality disorder were found among adult ADHD patients (6-25%) than general population. Although some authors investigated the prevalence of personality traits and disorders among adult ADHD patients, no studies have been yet reported about the assessment of Millon's Evolution-Based Personality profiles in adult ADHD patients.AimsTo explore the prevalence of personality traits and disorders among adult ADHD patients.MethodsMillon's personality traits and disorders were assessed in a consecutive sample of 35 adult ADHD outpatients accessing the Service for Adult ADHD of the AOU San Luigi Gonzaga (Orbassano, TO) using the Millon Clinical Multiaxial Inventory–III (MCMI-III).ResultsAccording to the MCMI-III manual, ADHD patients in our sample showed more frequently both Cluster C and Cluster A traits and disorders, with a high prevalence of avoidant/depressive (8.6%/14.3%) and negativistic/self-defeating (20%/5.7%) personality disorders. Conversely, we found a low prevalence of Narcissistic (5.7%) and Histrionic (5.7%) traits, and no patient showed Borderline personality traits or disorder.ConclusionsUnexpectedly, the dimensional assessment of adult ADHD personality reveals a high prevalence of cluster C and cluster A personality traits and disorders, and a low prevalence of cluster B personality disorders.Disclosure of interestThe authors have not supplied their declaration of competing interest.
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Pesic, Danilo, Tara Adzic, Olivera Vukovic, Marko Kalanj, and Dusica Lecic-Tosevski. "Analysis of personality disorder profiles obtained by five-factor personality model." Vojnosanitetski pregled 77, no. 9 (2020): 950–53. http://dx.doi.org/10.2298/vsp180424175p.

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Background/Aim. In spite of the growing body of evidence in the field of personality disorders, these disorders still retain the lowest diagnostic reliability of any major category of mental disorders. The aim of this study was to investigate the differences of personality profiles in patients diagnosed with personality disorder in comparison with the group of healthy control subjects, as well as to establish to what extent the five-factor personality model domains determine the specific clusters of personality disorders. Methods. The study group comprised 97 patients diagnosed as personality disorders (according to the Diagnostic and Statistical Manual of Mental Disorders ? DSM-IV criteria), aged between 18 and 65 years [mean = 35.78 years, standard deviation (SD) = 13.72 years], 67% were female. Control group included 58 healthy subjects (student population) aged between 20 to 35 years (mean = 22.48 years, SD = 2.56 years), 56% were female. The assessment was carried out by the new version of the NEO Personality Inventory-Revised (NEO-PIR), form S, and the Structured Clinical Interview (SCID II) for DSM-IV disorders. Results. The three clusters were found by the use of regression analysis: cluster A ? eccentrics (low scores in agreeableness), cluster B ? dramatics (high score in extroversion, low score in agreeableness, and cluster C ? anxious (low score in extroversion). The findings showed that the high level of neuroticism was a non-specific predictor of all three clusters, while dimension openness to experience had no predictive power for any of the three clusters. Conclusion. Our findings support the meta-analysis which suggests consistently high level of neuroticism and low level of agreeableness in most personality disorders. The study showed that it is possible to conceptualize personality disorders by using five-factor personality model of normal personality. Integrating the psychiatric classification with the dimensional model of general personality structure could enable the uncovering of essential parameters for setting the diagnosis.
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Eskedal, Glen A., and Jamie M. Demetri. "Etiology and Treatment of Cluster C Personality Disorders." Journal of Mental Health Counseling 28, no. 1 (December 20, 2005): 1–17. http://dx.doi.org/10.17744/mehc.28.1.7yjq6tabcexb1a6j.

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Of challenge to mental health counselor's (MHCs) is the management and treatment of personality disorders. This article will elaborate on the etiological development of Cluster C personality disorders (avoidant, dependant, and obsessive-compulsive), review the self-maintenance functions they provide, and review the cognitive-behavioral, group, and psychodynamic treatments for each of the three Cluster C personality disorders. The central aim of this manuscript is to assist MHCs in better understanding biological and environmental antecedents, treatment interventions, and to ensure that personality dynamics are not overlooked in the treatment process.
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Schiavone, Paolo, Stella Dorz, Donatella Conforti, Caterina Scarso, and Giuseppe Borgherini. "Comorbidity of DSM–IV Personality Disorders in Unipolar and Bipolar Affective Disorders: A Comparative Study." Psychological Reports 95, no. 1 (August 2004): 121–28. http://dx.doi.org/10.2466/pr0.95.1.121-128.

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The aim of this study was to compare the prevalence of Personality Disorders assessed by Structured Clinical Interview for Axis-II in 155 inpatients diagnosed with Unipolar Disorder vs inpatients with Bipolar Disorder (39). The most frequent Axis II diagnoses among Unipolar inpatients were Borderline (31.6%), Dependent (25.2%), and Obsessive-Compulsive (14.2%) Personality Disorders. Among Bipolar inpatients, the most prevalent personality disorders were Borderline (41%), Narcissistic (20.5%), Dependent (12.8%), and Histrionic disorders (10.3%). Using chi squared analysis, few differences in distribution emerged between the two groups: Unipolar patients had more recurrent Obsessive-Compulsive Personality Disorder than Bipolar patients (χ12 = 6.24, p < .005). Comorbid Narcissistic Personality Disorder was significantly more frequent in the Bipolar than in the Unipolar group (χ12 = 6.34, p < .01). Considering the three clusters (DSM–IV classification), there was a significant difference between the groups, Cluster C (fearful, avoidant) diagnoses being more frequent in the Unipolar than in the Bipolar group (48.4% vs 20.5%, respectively). Cluster B (dramatic, emotionally erratic) diagnoses were found more frequently in patients with Bipolar Disorders (71.8% vs 45.2% in Unipolar patients, χ22 = 10.1, p < .006). The differences in the distribution and prevalence of Personality Disorders between the two patient groups are discussed.
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Dissertations / Theses on the topic "Cluster C personality disorders"

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Honeyman, Victoria. "Psychological factors and psychological treatment for Cluster C personality disorders : a research portfolio." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/25457.

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Background: There is a paucity of research into Cluster C personality disorders, however there is increasing recognition that they are highly prevalent, associated with significant distress and frequently present alongside co-occurring axis I disorders. Research has led to significant progress in the understanding of the psychological mechanisms and has guided the development of evidence based treatment for borderline personality disorder and therefore it is likely that increased focus on Cluster C personality disorders may lead to similar developments. This thesis aimed to examine and evaluate current research on psychological interventions for the treatment of Cluster C personality disorders. It also sought to explore psychological factors involved in the development and maintenance of cluster C personality disorder. Method: A systematic literature review examining the effectiveness of psychological treatments for cluster C personality disorder identified 16 studies. The empirical study recruited individuals identified by clinicians as meeting criteria for Cluster C personality disorders. Participants completed a range of self-report measures of personality psychopathology, interpersonal problems and axis I disorders and a series of interviews exploring adult attachment style, reflective function, autobiographical memories. These were completed at 2 time points, 4 months apart. Participants also provided responses to a semi-structured qualitative interview to gain insight into their beliefs about their difficulties. Additional information was also gained through participants’ psychiatric notes. Results: The systematic review results indicate that psychological interventions are effective in the treatment of cluster C personality disorders however studies generally focused on cognitive behavioural or psychodynamic approaches. There is a lack of clarity over which treatment components are most effective in treating particular features of cluster C personality disorders. The empirical paper identifies no significant changes in personality psychopathology, anxiety and depressive symptoms, interpersonal problems, reflective function and autobiographical memory across time. Participants demonstrated insecure adult attachment styles. Conclusions: Results from the systematic review and empirical study identify a need for more research to explore the complexity of personality psychopathology and co-occurring axis I and axis II disorders. It is also necessary for research to identify psychological factors involved in the development and maintenance of Cluster C personality disorders in order to guide evidence based treatments. The systematic review highlights the need for research to identify the most effective psychological treatments for cluster C personality disorders and to establish which components of treatment are most effective in targeting particular symptoms associated with cluster C personality disorder.
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Eliasson, Lisa M. "Can different affect focus in early stages of therapy predict outcome for different personality disorders within cluster C?" Thesis, Norges teknisk-naturvitenskapelige universitet, Psykologisk institutt, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-20395.

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Objective: The study compared how specific affect focuses in early stages of treatment predict outcome (SCL-90) for specific cluster C personality disorders. Method: The sample consisted of patients with cluster C personality disorders from a randomized controlled trial comparing 40-sessions of short-term dynamic psychotherapy and cognitive psychotherapy. Thirty-one patients had an avoidant personality disorder (AVPD), 17 patients had an obsessive compulsive personality disorder (OCPD) and 10 had a dependent personality disorder (DPD). The Global Severity Index (GSI) of the SCL-90 was used as the outcome measure and the Achievement of Therapeutic Objective Scale (ATOS) was used as a process measure to rate patients affects in an early session (session 1 and 6). Results: The results indicated that focus on closeness and anger predicted outcome for AVPD, focus on positive feelings for self predicted outcome for OCPD and focus on grief predicted outcome for DPD. Conclusion: Specific affect focuses in early stages of treatment is significant for various cluster C personality disorders to predict outcome.
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Rogstad, Jill E. "Female Psychopathy Predictors: Cluster B Traits and Alexithymia." Thesis, University of North Texas, 2013. https://digital.library.unt.edu/ark:/67531/metadc283811/.

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Psychopathy has long been lauded as a premier predictor of negative behavioral outcomes because of its demonstrated associations with violence, antisocial conduct, and institutional maladjustment. Traditional conceptualizations of psychopathy highlight the relatively equal importance placed on personality features (i.e., a grandiose, deceitful interpersonal style and deficits in affective experience) and behavioral elements (i.e., an impulsive and irresponsible lifestyle marked by social deviance) of the syndrome. However, little research to date has investigated psychopathy dimensions in female samples, particularly as they relate to maladaptive behaviors beyond forensic settings. The current study comprehensively examined personality (i.e., Axis II Cluster B traits and alexithymia) and behavioral (i.e., suicide-related behavior and aggression) expressions of psychopathy in a sample of female inpatients recruited from trauma and dual-diagnosis units at a psychiatric hospital in Dallas, Texas. Contrary to expectations, the essential components of psychopathy in female psychiatric patients emphasized APD and NPD traits over features of HPD and BPD, which were relatively similar to elements traditionally highlighted in male psychopathy. On this point, two latent dimensions comprehensively addressed female psychopathy in the current sample: impulsive antisociality and narcissistic and histrionic interpersonal style. Interestingly, psychopathy (M r = .01) and Cluster B traits (M r = .05) were virtually unrelated to suicide-related behavior in female patients with trauma and substance use histories, but APD and BPD traits were more discerning for impulsive and premeditated aggression than variants of psychopathy. Aggression's relationship to BPD traits is at least partially mediated by alexithymia. These results are discussed in terms of improving evaluation and intervention efforts aimed at identifying and managing psychopathic females beyond forensic settings.
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Dallas, Ronald H. "Neuropsychological test scores as an indicator of cluster B personality disorder characteristics." Master's thesis, Mississippi State : Mississippi State University, 2008. http://library.msstate.edu/etd/show.asp?etd=etd-07072008-162656.

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Parsons, Shaun. "The DSM cluster B personality disorders : validity of the concept and effects on primary care." Thesis, University of Newcastle Upon Tyne, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.242356.

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Kolonia, Konstantina. "A portfolio of research, professional practice and critical review in eating and Cluster B personality disorders." Thesis, City University London, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.446454.

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Hazelwood, Lisa L. "Gender differences in a prototypical analysis of psychopathy." Thesis, University of North Texas, 2006. https://digital.library.unt.edu/ark:/67531/metadc5371/.

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Psychopathy research has focused primarily on characteristics of male offenders. With little empirical knowledge on psychopathy in women, gender differences within psychopathy are not well understood. To gain a better understanding of these differences, the current study used prototypical analysis to compare ratings of 242 forensic experts when considering their most representative case of male or female psychopathy. The present study investigated gender differences for psychopathic traits and Cluster B personality disorder criteria. Most aspects of psychopathy were less prototypical of female psychopaths than males. In particular, the antisocial behavior facet does not appear to apply to males and females equally. The distinction between Cluster B disorders and psychopathy was more ambiguous in females than males; however, the affective deficits facet differentiated psychopathy from Cluster B disorders across genders. Current research also raises the question of potential diagnostic gender bias in the assessment of psychopathy.
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Pinto, Flavia Ismael. "Aspectos dimensionais de personalidade, fissura e adesão ao tratamento ambulatorial entre dependentes de cocaína e crack." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/5/5142/tde-08042016-084322/.

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Introdução: A dependência de cocaína é doença crônica e afeta uma população bastante heterogênea. Fatores psicológicos, biológicos e sociais estão envolvidos com o quadro e sua evolução. A fissura, sintoma importante, pode ser influenciada por aspectos biológicos e psicológicos e altera o curso do quadro. Além disso, faltam sistemas classificatórios desta doença tão complexa. Os objetivos deste estudo são: investigar como a fissura pode ser influenciada por traços de personalidade e tentar agrupar pacientes com diferentes características pessoais em relação à resposta ao tratamento cognitivo comportamental. Métodos: Foram avaliados 100 pacientes que iniciaram o tratamento manualizado proposto. Classes de participantes que apresentavam características psicológicas relacionadas ao uso da droga e impulsividade semelhantes foram identificados em análise de classes latentes. A associação destas variáveis na adesão ao tratamento foi investigada. Dentre o grupo que terminou as quatro avaliações ao longo do acompanhamento, analisou-se como os traços de personalidade influenciam a intensidade, frequência e duração da fissura, usando o modelo de Equações de Estimativas Generalizadas com estrutura de correlação autorregressiva. Resultados: Dois grupos foram delineados. Participantes do Cluster 1 (n=60) foram caracterizados com maior nível de impulsividade, uso de maior quantidade de cocaína, maior nível educacional, mais história de tratamentos prévios e mais história familiar positiva de TUC que o Cluster 2 (n=40). Indivíduos do Cluster 1 aderiram mais ao tratamento. Em relação à fissura, observou-se que varia ao longo do tratamento. Traços de personalidade como busca por novidades, dependência de gratificação e esquiva ao dano interagem com a intensidade da fissura e persistência interage com a duração. Existe interação entre intensidade da fissura, uso de droga e via de administração. Conclusões: informações sobre características pessoais associadas à não adesão e ao abandono de tratamento, assim como à variação da fissura e sua correlação com fatores de personalidade devem ser investigados e avaliados para que tratamentos mais atrativos e eficazes possam ser propostos
Introduction: Cocaine dependence is a chronic condition affecting a very heterogeneous population. Biological, psychological and social factors are involved in addiction and how it evolves. Craving is an important symptom, it is influenced by both psychological and biological factors, and affects how the patient addiction evolves. Furthermore, there are no classifying systems for this very complex disease. The aims of this study are to investigate how craving is influenced by personality traits, and atempt to cluster patients with different personality traits in terms of their response to cognitive behavioral therapy. Methods: This study evaluate 100 patients who started the proposed manualized treatment. Latent class analysis was used to cluster subjects with similar psychological characteristics, cocaine use related aspects and impulsivity. This study looked at the association between these variables and adherence to treatment. We analyzed how personality traits influence craving intensity, frequency and duration in the group of subjects completing the four follow-up period evaluations, using the Generalized Estimating Equations model and an autoregression correlation structure. Results: Two clusters emerged: Cluster 1 (n=60) subjects were characterized as being more impulsive, using larger amounts of cocaine, having more years of schooling, a history of more prior treatments, and increased positive Family history of cocaine abuse than Cluster 2 (n=40) subjects. Individuals in Cluster 1 adhered more to treatment. Regarding craving, we found that it varied over the course of treatment. Personality traits such as novelty seeking, reward dependence and harm avoidance interact with intensity of craving, and persistence interacts with duration. There is an interaction between intensity of craving, drug use and route of administration. Conclusion: information about the personal characteristics associated with treatment non-adherence and abandonment, as well as the variation in craving and its correlation with personality traits must be investigated and analyzed so that more effective and attractive treatments may be developed
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Dellazizzo, Laura. "La violence chez les personnes ayant des troubles mentaux : éclaircir les liens entre les troubles mentaux graves, les troubles de personnalité et les abus de substances." Thèse, 2017. http://hdl.handle.net/1866/20487.

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Krampe, Henning. "Zur Rolle der Therapeutenrotation und von Patientenmerkmalen für die Wirksamkeitsprozesse der Ambulanten Langzeit-Intensivtherapie für Alkoholkranke (ALITA)." Doctoral thesis, 2004. http://hdl.handle.net/11858/00-1735-0000-0006-ADC8-C.

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Books on the topic "Cluster C personality disorders"

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J, Fox Daniel. Antisocial, borderline, narcissistic & histrionic workbook: Treatment strategies for cluster B personality disorders. Eau Claired, WI: PESI Publishing & Media, 2015.

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The complete history of why I hate her: B/c she have so much attitutde>:(. Karachi,Pakistan.: suleman, 2012.

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Perskin, Noblitt Pamela, ed. Cult and ritual abuse: Narratives, evidence, and healing approaches. Santa Barbara, California: Praeger, 2014.

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Sue, Perskin Pamela, ed. Cult and ritual abuse: Its history, anthropology, and recent discovery in contemporary America. Westport, Conn: Praeger, 1995.

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Sue, Perskin Pamela, ed. Cult and ritual abuse: Its history, anthropology, and recent discovery in contemporary America. Westport, Conn: Praeger, 2000.

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Caligor, Eve, Frank Yeomans, and Ze’ev Levin. Personality Disorders. Oxford University Press, 2014. http://dx.doi.org/10.1093/med/9780199326075.003.0008.

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This chapter discusses the personality disorders. Patients with personality disorders exhibit enduring patterns of behavior that are maladaptive, inflexible, and pervasive. These patients experience difficulty in three core domains of personality functioning: sense of self, interpersonal relationships, and affect regulation. Patients with the cluster A personality disorders (paranoid, schizoid, and schizotypal) tend to suffer profound compromise of functioning. Features that are shared by many patients with the cluster B disorders (borderline, narcissistic, antisocial, and histrionic) include emotional reactivity, poor impulse control, and an unclear sense of identity. Patients with borderline, narcissistic, and antisocial personality disorders are also often characterized by high levels of aggression, whereas patients with histrionic personality disorder share a more favorable prognosis with the cluster C personality disorders (avoidant, dependent, and obsessive-compulsive). Psychotherapy is the backbone of treatment for the personality disorders.
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Hart, Ashley S., and Martha A. Niemiec. Comorbidity and Personality in Body Dysmorphic Disorder. Edited by Katharine A. Phillips. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190254131.003.0011.

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Comorbidity is common in body dysmorphic disorder (BDD). Major depressive disorder, social anxiety disorder (social phobia), obsessive-compulsive disorder, and substance use disorders are the most frequently co-occurring Axis I conditions. Except for eating disorders (more common in women) and substance use disorders (more common in men), Axis I comorbidity rates in BDD appear similar across genders. Axis I comorbidity is associated with greater functional impairment and morbidity. Rates of comorbid personality disorders in BDD are high. Disorders from cluster C occur most frequently, with avoidant personality disorder the most common. Associated traits include low self-esteem and high levels of neuroticism, introversion, unassertiveness, social anxiety and inhibition, rejection sensitivity, and perfectionism. Research is needed on the relationship between BDD and psychiatric comorbidity, the causes and consequences of comorbidity in BDD, and the relationship between BDD and associated personality traits.
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Siever, Larry J., and Joshua E. Kuluva. Aggression, Impulsivity, and Personality Disorders. Edited by Jon E. Grant and Marc N. Potenza. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780195389715.013.0030.

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Aggressivity and impulsivity are traits that are core features of the Cluster B personality disorders. Within these disorders, impulsive aggression leads to a significant amount of morbidity and mortality. This type of behavior is intrinsically linked to violence, suicide, and substance abuse. In this chapter, we will discuss the phenomenology of these traits, the neurobiology of impulsive aggression, and some potential treatment options. We will conclude with some thoughts on the future direction of research in this filed.
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Fox, Daniel. Antisocial, Borderline, Narcissistic and Histrionic Workbook: Treatment Strategies for Cluster B Personality Disorders. PESI, 2015.

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Fox, Daniel. Antisocial, Borderline, Narcissistic and Histrionic Workbook: Treatment Strategies for Cluster B Personality Disorders. PESI, 2015.

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Book chapters on the topic "Cluster C personality disorders"

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Cain, Nicole M., Emily B. Ansell, and Anthony Pinto. "Cluster C Personality Disorders and Anxiety Disorders." In Handbook of Treating Variants and Complications in Anxiety Disorders, 349–62. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6458-7_22.

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Arntz, Arnoud. "Schema Therapy for Cluster C Personality Disorders." In The Wiley-Blackwell Handbook of Schema Therapy, 397–414. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781119962830.ch30.

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Parnas, Josef, Deborah Licht, and Pierre Bovet. "Cluster A Personality Disorders: A Review." In Personality Disorders, 1–124. Chichester, UK: John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470090383.ch1.

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Tyrer, Peter. "The Anxious Cluster of Personality Disorders: A Review." In Personality Disorders, 349–403. Chichester, UK: John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470090383.ch5.

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Lee, Han-Joo, and Jennifer E. Turkel. "Treatment of Anxiety and Comorbid Cluster A Personality Disorders." In Handbook of Treating Variants and Complications in Anxiety Disorders, 223–41. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6458-7_15.

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Haeyen, Suzanne. "Client with a Diagnosis of a Borderline Personality Disorder: Responsible and Competent!? Art Therapy and Severe Cluster B Personality Disorders." In Art Therapy and Emotion Regulation Problems, 21–37. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96773-8_2.

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Caetano, D., M. Roth, and C. Mountjoy. "Anxiety State and Depressive Disorders: Separation in Terms of Symptom-Cluster, Patient-Groups and Personality Features." In Clinical Psychopathology Nomenclature and Classification, 513–24. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4899-5049-9_90.

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Perry, J. "Cluster C Personality Disorders." In Gabbard’s Treatments of Psychiatric Disorders. American Psychiatric Publishing, 2014. http://dx.doi.org/10.1176/appi.books.9781585625048.gg73.

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Newton-Howes, Giles. "Cluster C personality disorder." In Personality Disorder, 30–34. Oxford University Press, 2014. http://dx.doi.org/10.1093/med/9780199688388.003.0007.

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Carrasco, José Luis, and Dusica Lecic-Tosevski. "Specific types of personality disorder." In New Oxford Textbook of Psychiatry, 861–81. Oxford University Press, 2012. http://dx.doi.org/10.1093/med/9780199696758.003.0110.

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This chapter begins by discussing the epidemiology, aetiology, clinical picture, course, differential diagnosis, and treatment of various Cluster A personality disorders (Paranoid personality disorder, paranoid personality disorder, schizotypal personality disorder), Cluster B personality disorders (antisocial personality disorder, borderline personality disorder (BPD), histrionic personality disorder, narcissistic personality disorder) and Cluster C personality disorders (avoidant personality disorder, dependent personality disorder (JLC), and obsessive–compulsive (anankastic) personality disorder). Other personality disorders (not included in DSM-IV) are also covered, including passive–aggressive (negativistic) personality disorder, self-defeating (masochistic) personality disorder, sadistic personality disorder, depressive personality disorder, and personality changes, including enduring personality changes after traumatic experiences and personality change due to a general medical condition (JLC).
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Conference papers on the topic "Cluster C personality disorders"

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Li, Xinyi, and Tianwei Du. "The Relation Between Cluster B Personality Disorders and Attachment Dimensions." In 2020 4th International Seminar on Education, Management and Social Sciences (ISEMSS 2020). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/assehr.k.200826.121.

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