Evidence map›Paper›PMID 32998759›Full record

ArticleBMC psychiatry2020

Development and validation of a screening instrument for borderline personality disorder (SI-Bord) for use among university students.

Trustsavin Lohanan, Thanakorn Leesawat, Tinakon Wongpakaran, Nahathai Wongpakaran, Nuntaporn Karawekpanyawong, Awirut Oon-Arom, Pimolpun Kuntawong

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.2field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 25 citations in OpenAlex.

  1. A Network Analysis of Inner Strength Among University Students with Borderline Personality Disorder Symptoms.European journal of investigation in health, psychology and education · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Trustsavin LohananFaculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Thanakorn LeesawatFaculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Tinakon WongpakaranDepartment of Psychiatry, Faculty of Medicine, Chiang Mai University, 110 Intawaroros Rd., T. Sriphum, A. Muang, Chiang Mai, 50200, Thailand. tinakon.w@cmu.ac.th.ORCID 0000-0002-9062-3468
Nahathai WongpakaranDepartment of Psychiatry, Faculty of Medicine, Chiang Mai University, 110 Intawaroros Rd., T. Sriphum, A. Muang, Chiang Mai, 50200, Thailand.
Nuntaporn KarawekpanyawongDepartment of Psychiatry, Faculty of Medicine, Chiang Mai University, 110 Intawaroros Rd., T. Sriphum, A. Muang, Chiang Mai, 50200, Thailand.
Awirut Oon-AromDepartment of Psychiatry, Faculty of Medicine, Chiang Mai University, 110 Intawaroros Rd., T. Sriphum, A. Muang, Chiang Mai, 50200, Thailand.
Pimolpun KuntawongDepartment of Psychiatry, Faculty of Medicine, Chiang Mai University, 110 Intawaroros Rd., T. Sriphum, A. Muang, Chiang Mai, 50200, Thailand.
Chiang Mai University · TH

Funding

Faculty of Medicine, Chiang Mai University 032/2563
6 · The paper itself

Abstract

backgroundThe 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.

methodsA 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.

resultsThe 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.

conclusionThe 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.

Indexed as

Borderline Personality DisorderAdolescentAdultCross-Sectional StudiesFemaleHumansPsychometricsReproducibility of ResultsStudentsSurveys and QuestionnairesThailandUniversitiesYoung AdultBorderline personality disorderInstrumentScreeningUndergraduateValidation

Identifiers

PMID32998759
PMCPMC7526163
OpenAlexW3090682568

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.