Background The screening instrument for borderline personality disorder (SI-Bord) consists of a 5-item self-reported questionnaire on the key features of BPD from the DSM-5 using a 5-point Likert scale. This study investigated its validity and reliability in screening for BPD in university students. Methods A cross-sectional study was conducted on a sample of university students in Thailand between November and December 2019. An online assessment gathered demographic data and results from the SI-Bord, the Perceived Stress Scale-10 (PSS-10) and the Patient Health Questionnaire-9 (PHQ-9). Participants whose SI-Bord scores were ≥ 1 were randomly selected to be interviewed and assessed for a BPD diagnosis by four psychiatrists using the Structured Clinical Interview for DSM-IV Axis II Personality Disorders (SCID-II) as a reference point. An intraclass correlation coefficient (ICC) of 0.925 (95% CI, 0.805–0.979) ensured inter-rater reliability between the four psychiatrists. The diagnostic sensitivity and specificity of the SI-Bord, as compared to that of the SCID-II, were determined to indicate the cut-off score. The Receiver Operating Characteristics (ROC) was analyzed to evaluate its diagnostic accuracy. Results The study included 342 students aged 18–25 years (the mean age was 20.25 ± 1.4 years), 80.4% of whom were female. Among the 68 participants selected for an online interview, 16 were diagnosed with BPD. The cut-off score of the SI-Bord was > 9, as suggested by the Youden index, yielding a sensitivity of 56.3% and a specificity of 92.3%. It had a positive predictive value of 69.2% and negative predictive value of 87.3%. The SI-Bord had adequate discriminative power between cases and non-cases of BPD, with the area under the ROC curve being 0.83. Cronbach’s alpha for the SI-Bord was 0.76, indicating acceptable internal consistency. The SI-Bord score was positively correlated to PHQ-9 and PSS-10 scores (r = 0.67 and r = 0.69, p < 0.001, respectively) and negatively correlated to MSPSS (r = − 0.50, p < 0.001). The prevalence of BPD in the sample was 6.4%, according to the cut-off score > 9. Conclusion The SI-Bord demonstrated good reliability and validity for screening BPD in university students. However, a study in non-Thai and other population groups should be warranted.

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Objectives: Issues concerning the association among attachment anxiety, depression and suicidal ideation among the elderly have rarely been explored. The present study investigated the relationship among attachment anxiety, depression and perceived support concerning suicidal ideation among older people. Design: Cross-sectional study Setting: Tertiary care settings Participants: The authors recruited 191 elderly patients from 10 tertiary care settings in Thailand Measurements: Participants provided data on their suicidal ideation and suicidal attempt using Module C of the Mini-International Neuropsychiatric Interview. Their attachment anxiety was assessed using the revised Experience of Close Relationship questionnaire (ECR-R-18), while their level of depression was investigated using the Geriatric Depression Scale. In addition, their perception of being supported was ascertained using the Multidimensional Scale of Perceived Social Support. We performed two mediation analyses and moderation analyses separately using the product of coefficients approach. First, we created a mediation model to examine the role of attachment anxiety and depression on suicidal ideation. Second, a moderated mediation model was created to explore the relationship of perceived social support as a moderator of depression. Results: We found that depression significantly mediated the association between attachment anxiety and suicidal ideation. The association between depression and suicidal ideation was moderated by the level of perceived social support. Conclusion: Findings of this study may broaden our understanding of how suicidal ideation develops among the elderly and further stimulate future research exploring the interaction of positive and negative factors of suicidality among the elderly. Implications of the findings were also discussed.

Suicidal ideation is a serious condition antecedent to suicidal attempts and is highly related not only to depression but also other psychosocial factors. This study aimed to examine the predictive effects of these potential factors for suicidal ideation among young adult university students. A cross-sectional survey was conducted on a sample of university students in Thailand. An online questionnaire employed the perceived stress scale-10 (PSS-10), the patient health questionnaire-8 (PHQ-8), the multidimensional scale of perceived social support (MSPSS), and a screening instrument for borderline personality disorder. An ordinal regression analysis was applied to determine the predictive effects of the independent variables. Of 336 students, the mean age was 20.26 ± 1.3 years, 80.4% of whom were female; 14.3% had suicidal ideation. The significant predictors of suicidal thoughts were perceived stress (AOR 1.11, 95% CI 1.01 to 1.22); depressive symptoms (AOR 1.16, 95% CI 1.05 to 1.22); borderline personality symptoms (AOR 1.19, 95% CI 1.01 to 1.40); and perceived social support (AOR 0.97, 95% CI 0.94 to 1.00). Not only did depressive symptoms contribute to suicidal ideation but they also constituted important variables. Therefore, they should be included in intervention plans to prevent suicidality among university students.

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