TY - JOUR
T1 - A latent class analysis of DSM-III-R pathological gambling criteria in middle-aged men
T2 - Association with psychiatric disorders
AU - Xian, Hong
AU - Shah, Kamini R.
AU - Potenza, Marc N.
AU - Volberg, Rachel
AU - Chantarujikapong, Sunanta
AU - True, William R.
AU - Lyons, Michael J.
AU - Tsuang, Ming T.
AU - Eisen, Seth A.
PY - 2008/6
Y1 - 2008/6
N2 - Purpose: This study was designed to empirically derive latent classes based on PG criteria and to assess the association between nongambling psychiatric disorders and specific classes. Methods: A total of 8138 community-based middle-aged men were surveyed, and 2720 were assessed for Diagnostic Interview Schedule, Version 3, Revised (DIS-III-R) pathologic gambling (PG). Latent class analysis (LCA) was applied to Diagnostic and Statistical Manual Version 3, Revised (DSM-III-R) criteria to identify gambling classes. X 2 and logistic regression models evaluated the association between gambling classes and lifetime psychiatric disorders. Results: The final model included 4 classes: class 0 (ie, 5418 individuals who never gambled 25 or more times per year) and classes 1-3 (identified by the LCA and comprising 2720 respondents assessed for PG). For the 9 individual criteria of PG, endorsement percentages ranged from 2%-6%, 4%-58%, and 53%-100% for classes 1-3, respectively. Nongambling psychiatric disorders were differentially associated with the 4 gambling classes, and psycho- pathology was more common in groups more frequently acknowledging PG criteria. Conclusions: Empirical support is provided for distinct classes of gambling behaviors demonstrating differential associations with individual PG criteria and nongambling psychiatric disorders. The data-driven categorization of gambling behaviors provides direction for research on defining, preventing, and treating syndromal and subsyndromal PG.
AB - Purpose: This study was designed to empirically derive latent classes based on PG criteria and to assess the association between nongambling psychiatric disorders and specific classes. Methods: A total of 8138 community-based middle-aged men were surveyed, and 2720 were assessed for Diagnostic Interview Schedule, Version 3, Revised (DIS-III-R) pathologic gambling (PG). Latent class analysis (LCA) was applied to Diagnostic and Statistical Manual Version 3, Revised (DSM-III-R) criteria to identify gambling classes. X 2 and logistic regression models evaluated the association between gambling classes and lifetime psychiatric disorders. Results: The final model included 4 classes: class 0 (ie, 5418 individuals who never gambled 25 or more times per year) and classes 1-3 (identified by the LCA and comprising 2720 respondents assessed for PG). For the 9 individual criteria of PG, endorsement percentages ranged from 2%-6%, 4%-58%, and 53%-100% for classes 1-3, respectively. Nongambling psychiatric disorders were differentially associated with the 4 gambling classes, and psycho- pathology was more common in groups more frequently acknowledging PG criteria. Conclusions: Empirical support is provided for distinct classes of gambling behaviors demonstrating differential associations with individual PG criteria and nongambling psychiatric disorders. The data-driven categorization of gambling behaviors provides direction for research on defining, preventing, and treating syndromal and subsyndromal PG.
KW - Latent class
KW - Pathologic gambling
KW - Pathologic gambling criteria
UR - http://www.scopus.com/inward/record.url?scp=70349257861&partnerID=8YFLogxK
U2 - 10.1097/ADM.0b013e31816d699f
DO - 10.1097/ADM.0b013e31816d699f
M3 - Article
C2 - 21768977
AN - SCOPUS:70349257861
SN - 1932-0620
VL - 2
SP - 85
EP - 95
JO - Journal of Addiction Medicine
JF - Journal of Addiction Medicine
IS - 2
ER -