Investigation of the factors that predict the development of borderline personality disorder in childhood trauma
2018
0 views
0 downloads
Advisor: Doç. Dr. Nusret Soylu
Abstract (EN)
Objective: Childhood maltreatment in the Borderline Personality Disorder (BPD) has been shown frequently in many studies. However, the causality relationship between childhood abuse and borderline personality disorder is still unclear. In this study, we aimed to investigate the relationship between childhood maltreatment and development of borderline personality disorder. Methods: Seventy-six patients who were at least one of sexual, physical, and emotional abuse were included in the study, who were between the ages of 15 and 18, according to the Childhood Trauma Questionnaire (CTQ). The cases were divided into two groups with and without borderline personality disorder. All cases were evaluated with DSM- III-R Structured Clinical Interview Turkish Version, Personality Disorders Form (SCID-II). In addition, both groups completed the Sociodemographic Data Form, Borderline Personality Questionnaire (BPQ), Relationship Scale Questionnaire-Adolescent Form (RSQ-AF), Dissociative Experiences Scale (DES), Family Assessment Questionnaire (FAQ) Brief Symptom Inventory (BSE) and Impact of Events-Revised. SPSS 21 was used statistical program for analysis. Results: Borderline personality disorder was higher in girls (p = 0.025). BPD cases were receiving psychopharmacologic treatment at higher rates (p = 0.025). The most commonly used psychopharmacological agent was antidepressant drugs. Adolescent with BPD reported higher rates of sexual abuse than adolescent without BPD (p = 0.022). There were no differences between the two groups in terms of exposure to other types of neglect and abuse (p> 0.05). There was no statistically significant difference between the groups in terms of the age (p=0,740) they were seeking sexual abuse (p=), number of sexual abuse (p=0,404), number of abuse with contacts (p>0,05) or penetration (p>005), who shared with them after abuse (p=0,645), whether they had received help or not (p=0,932). In group of patients with Borderline Personality Disorder, Borderline Personality Questionnaire (BPQ) had a all subscale scores and total scores (p <0,001), Dissociative Experiences Scale (DES) score (p = 0,004), Family Assessment Scale's Behavior Control subscale (p = 0,044), Depression (p = 0,040), Anxiety (p <0,001), Hostility (p = 0,005) subscales of Brief Symptom Inventory (BSI) scores were higher than in the control group. The total scores and subscale scores of Impact of Events-Revised were not different between the two groups (p> 0.05). There was no statistically significant difference between two groups in terms of attachment pattern (p> 0,05). The Sexual Abuse scores of CTQ, total score and suicide, self-harming behavior subscale score and psychosis-like status subscale of BPQ scores were correlated. Conclusions: The relationship between borderline personality disorder and childhood traumas has been studied for a long time. In our study, adolescents with childhood trauma were compared with those with and without borderline personality disorder. We are thinking that our results will contribute to the literature and clinicians working on this field.
Author
Dr. Sefa Coşğun
Institution
How to Cite
Sefa Coşğun (Medical Specialty Thesis). Investigation of the factors that predict the development of borderline personality disorder in childhood trauma, 2018, İstanbul University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from İstanbul University
- In the covid 19 pandemic of female employees at a university hospital attitudes and affecting factors in nutrition of 9 months-6 years old children(2022)
- The perception of the right-wing movements in Turkey as to the 27 May Coup: 1960-1980(2020)
- Economic and social life in the Ottoman Empire according to the 1890 year's news of La Turquie Newspaper(2022)
- Land regime in the Umayyads period(2022)
- Merkel hücreli karsinomda tanısal ve prognostik belirteçler(2022)
- Use of machine learning methods in classification of respiratory system diseases(2021)