Borderline Personality Disorder Symptoms and Its Clinical Correlates among Chinese University Students: A Cross-Sectional Study.
Nan JiaChaiyun SakulsriprasertNahathai WongpakaranChawisa SuradomRonald O' DonnellPublished in: Healthcare (Basel, Switzerland) (2022)
Borderline personality disorder (BPD) is common among young adults. Related studies showed a wide range of prevalence among university students. Few studies regarding BPD symptoms and their correlations with different variables have been reported in the Chinese population. A cross-sectional, online survey was conducted on a sample of university students in China between November 2021 and January 2022. Sociodemographic questionnaires, the Screening Instrument for Borderline Personality Disorder (SI-Bord), the 18-item Experience in Close Relationships-Revised (ECR-R-18), the Meaning In Life Questionnaire (MLQ), the 10-item Perceived Stress Scale (PSS-10), the Patient Health Questionnaire (PHQ-9), the Rosenberg Self-Esteem Scale (RSES) and the Resilience Inventory (RI-9) were completed. Data were analyzed using Pearson's correlation methods. Among 767 participants, mean age was 20.33 ± 1.495 years, and the majority were males (53.5%). According to the SI-Bord's cut-off score >7, BPD symptoms were found in 17.5% of participants. Attachment anxiety, avoidance, depression, perceived stress, lack of meaning in life, resilience and self-esteem were significantly correlated with BPD symptoms with r's of 0.473, 0.180, 0.451, 0.481, -0.148, -0.238 and -0.388, respectively (all p's < 0.01). The prevalence of BPD symptoms is high among Chinese university students and significantly associated with mental health outcomes, suggesting that an early detection of BPD symptoms is necessary for this population.
Keyphrases
- borderline personality disorder
- sleep quality
- psychometric properties
- young adults
- social support
- mental health
- depressive symptoms
- risk factors
- healthcare
- cross sectional
- public health
- palliative care
- health information
- room temperature
- social media
- risk assessment
- case control
- electronic health record
- machine learning
- heat stress
- childhood cancer