PMID- 31367222 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20220409 IS - 1744-859X (Print) IS - 1744-859X (Electronic) IS - 1744-859X (Linking) VI - 18 DP - 2019 TI - Factor structure and diagnostic efficiency of the Myanmar version BDI-II among substance users. PG - 12 LID - 10.1186/s12991-019-0236-4 [doi] LID - 12 AB - BACKGROUND: The Beck Depression Inventory II (BDI-II) has been accepted as one of the most commonly used self-report measures for depression. However, there is no study examining the psychometric properties of the BDI-II among substance users in low- and middle-income countries such as Myanmar. Therefore, this study aimed to evaluate the suitability of using this instrument in substance users and to examine the reliability and diagnostic efficiency to be compared with the International Classification of Diseases (ICD-10) among substance users in Northern Shan State of Myanmar. METHODS: A respondent-driven sampling (RDS) method was applied for recruiting the participants in this study, and total 230 substance users were recruited. On the other hand, 50 participants who visited the drop-in center (DIC) were screened for depressive symptoms using ICD-10 during the days when one consultant psychiatrist doctor was presented. These participants were interviewed face-to-face by the consultant psychiatrist using a semi-structured questionnaire including the Myanmar version of the BDI-II (mBDI-II). RESULTS: The mBDI-II showed moderate accuracy with an area under the curve of 0.68. The optimal cutoff score was 10 with the highest Youden index (0.48), and it had high sensitivity and specificity (0.78 and 0.70). The Cronbach's alpha coefficients for clinically depressed and non-clinically depressed substance users were 0.91 and 0.93, respectively. Confirmatory factor analysis of the mBDI-II indicated that a three-factor solution (cognitive, affective, and somatic) was the best fit for substance users. CONCLUSIONS: The mBDI-II has sound psychometric properties among substance users with moderate accuracy and range of possible cutoff scores together with sensitivity and specificity. FAU - Win, Khine Lae AU - Win KL AUID- ORCID: 0000-0001-7756-2595 AD - 1Department of Mental Health, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033 Japan. ISNI: 0000 0001 2151 536X. GRID: grid.26999.3d FAU - Kawakami, Norito AU - Kawakami N AD - 1Department of Mental Health, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033 Japan. ISNI: 0000 0001 2151 536X. GRID: grid.26999.3d FAU - Htet Doe, Gyaw AU - Htet Doe G AD - Department of Psychiatry and Mental Health, Defense Services Medical Academy, Mingaladon Township, Yangon, 11021 Myanmar. LA - eng PT - Journal Article DEP - 20190722 PL - England TA - Ann Gen Psychiatry JT - Annals of general psychiatry JID - 101236515 PMC - PMC6647319 OTO - NOTNLM OT - Beck Depression Inventory OT - Depression OT - Diagnosis efficiency OT - International Classification of Diseases OT - Reliability OT - Substance users COIS- Competing interestsDr. Win has nothing to disclose. Dr. Kawakami reports personal fees from Junpukai Foundation, Softbank, etc., and grants from Info soft Technologies, etc., outside the submitted work; Dr. Gyaw Htet Doe has nothing to disclose. EDAT- 2019/08/02 06:00 MHDA- 2019/08/02 06:01 PMCR- 2019/07/22 CRDT- 2019/08/02 06:00 PHST- 2018/10/29 00:00 [received] PHST- 2019/07/09 00:00 [accepted] PHST- 2019/08/02 06:00 [entrez] PHST- 2019/08/02 06:00 [pubmed] PHST- 2019/08/02 06:01 [medline] PHST- 2019/07/22 00:00 [pmc-release] AID - 236 [pii] AID - 10.1186/s12991-019-0236-4 [doi] PST - epublish SO - Ann Gen Psychiatry. 2019 Jul 22;18:12. doi: 10.1186/s12991-019-0236-4. eCollection 2019.