PMID- 38411725
OWN - NLM
STAT- Publisher
LR  - 20240227
IS  - 1433-9285 (Electronic)
IS  - 0933-7954 (Linking)
DP  - 2024 Feb 27
TI  - Employing Bayesian analysis to establish a cut-off point and assess stigma 
      prevalence in substance use disorder: a comprehensive study of the Chinese 
      version of the Substance Use Stigma Mechanism Scale.
LID - 10.1007/s00127-024-02621-5 [doi]
AB  - PURPOSE: In China, individuals with substance use disorders (SUD) face severe 
      stigma, but reliable stigma assessment tool is lacking. Therefore, this study 
      aimed to validate the Chinese version of the Substance Use Stigma Mechanism Scale 
      (SU-SMS-C) and set its cut-off point. METHODS: We recruited 1005 individuals with 
      SUDs from Chinese rehabilitation centers. These participants completed a battery 
      of questionnaires that included the SU-SMS-C, The Multidimensional Scale of 
      Perceived Social Support (MSPSS), Center for Epidemiologic Studies Depression 
      Scale (CES-D), General Self-Efficacy Scale (GSES), and Perceived Devaluation and 
      Discrimination (PDD). Confirmatory factor analysis was used to assess the 
      construct validity of the scale. Additionally, the Naive Bayes classifier was 
      used to establish the cut-off point for the SU-SMS-C. We additionally explored 
      the correlation between patient demographic characteristics and stigma. RESULTS: 
      A confirmatory factor analysis was utilized, revealing a second-order five-factor 
      model. Based on the Naive Bayes classifier, the area under the receiver operating 
      characteristic (AUCROC) of 0.746, the cut-off point for the SU-SMS-C was 
      established at 44.5. The prevalence of stigma observed in the study population 
      was 49.05%. Significant disparities were observed in the distribution of stigma 
      across genders, with males experiencing more pronounced stigma than females. 
      Moreover, patients consuming different primary substances reported diverse levels 
      of stigma. Notably, those primarily using heroin endured a higher degree of 
      stigma than users of other substances. CONCLUSION: The study is the first to 
      identify a cut-off point for the SU-SMS-C by Naive Bayes classifier, bridging a 
      major gap in stigma measurement research. SU-SMS-C may help treat and manage SUDs 
      by reducing stigma.
CI  - (c) 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.
FAU - Wang, Dongfang
AU  - Wang D
AD  - Department of Sport and Health Sciences, TUM School of Medicine and Health, 
      Technical University of Munich, Munich, Germany.
AD  - Department of Psychiatry and Psychotherapy, TUM School of Medicine and Health, 
      Technical University of Munich, Munich, Germany.
FAU - Zhou, Yanan
AU  - Zhou Y
AD  - Department of Psychiatry, Hunan Brain Hospital (Hunan Second People's Hospital), 
      Changsha, China.
FAU - Chen, Shubao
AU  - Chen S
AD  - Department of Psychiatry, and National Clinical Research Center for Mental 
      Disorders, The Second Xiangya Hospital of Central South University, Changsha, 
      Hunan, China.
FAU - Wu, Qiuxia
AU  - Wu Q
AD  - Department of Psychiatry, and National Clinical Research Center for Mental 
      Disorders, The Second Xiangya Hospital of Central South University, Changsha, 
      Hunan, China.
FAU - He, Li
AU  - He L
AD  - Department of Psychiatry, and National Clinical Research Center for Mental 
      Disorders, The Second Xiangya Hospital of Central South University, Changsha, 
      Hunan, China.
FAU - Wang, Qianjin
AU  - Wang Q
AD  - Department of Psychiatry, and National Clinical Research Center for Mental 
      Disorders, The Second Xiangya Hospital of Central South University, Changsha, 
      Hunan, China.
FAU - Hao, Yuzhu
AU  - Hao Y
AD  - Department of Psychiatry, and National Clinical Research Center for Mental 
      Disorders, The Second Xiangya Hospital of Central South University, Changsha, 
      Hunan, China.
FAU - Liu, Yueheng
AU  - Liu Y
AD  - Department of Psychiatry, and National Clinical Research Center for Mental 
      Disorders, The Second Xiangya Hospital of Central South University, Changsha, 
      Hunan, China.
FAU - Peng, Pu
AU  - Peng P
AD  - Department of Psychiatry, and National Clinical Research Center for Mental 
      Disorders, The Second Xiangya Hospital of Central South University, Changsha, 
      Hunan, China.
FAU - Li, Manyun
AU  - Li M
AD  - Department of Psychiatry, and National Clinical Research Center for Mental 
      Disorders, The Second Xiangya Hospital of Central South University, Changsha, 
      Hunan, China.
FAU - Liu, Tieqiao
AU  - Liu T
AD  - Department of Psychiatry, and National Clinical Research Center for Mental 
      Disorders, The Second Xiangya Hospital of Central South University, Changsha, 
      Hunan, China.
FAU - Ma, Yuejiao
AU  - Ma Y
AD  - Department of Child and Adolescent Psychiatry, Shenzhen Kangning Hospital, 
      Shenzhen Institute of Mental Health, Shenzhen Mental Health Center, Shenzhen 
      Clinical Research Center for Mental Disorders, Shenzhen, Guangdong, 518020, 
      China. yuejiaoma0@outlook.com.
LA  - eng
PT  - Journal Article
DEP - 20240227
PL  - Germany
TA  - Soc Psychiatry Psychiatr Epidemiol
JT  - Social psychiatry and psychiatric epidemiology
JID - 8804358
SB  - IM
OTO - NOTNLM
OT  - Cut-off point
OT  - Naive Bayes classifier
OT  - Stigma
OT  - Substance Use Stigma Mechanism Scale (SU-SMS-C)
OT  - Substance use disorder (SUD)
EDAT- 2024/02/27 12:46
MHDA- 2024/02/27 12:46
CRDT- 2024/02/27 11:07
PHST- 2023/08/04 00:00 [received]
PHST- 2024/01/11 00:00 [accepted]
PHST- 2024/02/27 12:46 [medline]
PHST- 2024/02/27 12:46 [pubmed]
PHST- 2024/02/27 11:07 [entrez]
AID - 10.1007/s00127-024-02621-5 [pii]
AID - 10.1007/s00127-024-02621-5 [doi]
PST - aheadofprint
SO  - Soc Psychiatry Psychiatr Epidemiol. 2024 Feb 27. doi: 10.1007/s00127-024-02621-5.