AIMS: To derive empirical subtypes of problem gamblers based on etiological and clinical characteristics described in the Pathways Model, using data from a nationally representative survey of US adults. DESIGN & MEASUREMENT: Data were collected from structured diagnostic face-to-face interviews using the Alcohol Use Disorder and Associated Disabilities Interview Schedule DSM-IV version IV (AUDADIS-IV). SETTING: The study utilized data from US National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). PARTICIPANTS: All disordered gambling participants (n = 581) from a nationally representative cross-sectional sample of civilian non-institutionalized adults aged 18 years or older. FINDINGS: Latent class analyses indicated that the best-fitting model was a three-class solution. Those in the largest class (class 1: 50.76%, n = 295) reported the lowest overall levels of psychopathology including gambling problem severity and mood disorders. In contrast, respondents in class 2 (20.06%, n = 117) had a high probability of endorsing past-year substance use disorders, moderate probabilities of having parents with alcohol/drug problems and of having a personality disorder, and the highest probability for past-year mood disorders. Respondents in class 3 (29.18%, n = 169) had the highest probabilities of personality and prior-to-past year mood disorders, substance use disorders, separation/divorce, drinking-related physical fights and parents with alcohol/drug problems and/or a history of antisocial personality disorder (ASPD). CONCLUSIONS: Three subtypes of disordered gamblers can be identified, roughly corresponding to the subtypes of the Pathways Model, ranging from a subgroup with low levels of gambling severity and psychopathology to one with high levels of gambling problem severity and comorbid psychiatric disorders.
AIMS: To derive empirical subtypes of problem gamblers based on etiological and clinical characteristics described in the Pathways Model, using data from a nationally representative survey of US adults. DESIGN & MEASUREMENT: Data were collected from structured diagnostic face-to-face interviews using the Alcohol Use Disorder and Associated Disabilities Interview Schedule DSM-IV version IV (AUDADIS-IV). SETTING: The study utilized data from US National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). PARTICIPANTS: All disordered gamblingparticipants (n = 581) from a nationally representative cross-sectional sample of civilian non-institutionalized adults aged 18 years or older. FINDINGS: Latent class analyses indicated that the best-fitting model was a three-class solution. Those in the largest class (class 1: 50.76%, n = 295) reported the lowest overall levels of psychopathology including gambling problem severity and mood disorders. In contrast, respondents in class 2 (20.06%, n = 117) had a high probability of endorsing past-year substance use disorders, moderate probabilities of having parents with alcohol/drug problems and of having a personality disorder, and the highest probability for past-year mood disorders. Respondents in class 3 (29.18%, n = 169) had the highest probabilities of personality and prior-to-past year mood disorders, substance use disorders, separation/divorce, drinking-related physical fights and parents with alcohol/drug problems and/or a history of antisocial personality disorder (ASPD). CONCLUSIONS: Three subtypes of disordered gamblers can be identified, roughly corresponding to the subtypes of the Pathways Model, ranging from a subgroup with low levels of gambling severity and psychopathology to one with high levels of gambling problem severity and comorbid psychiatric disorders.
Authors: B Ustün; W Compton; D Mager; T Babor; O Baiyewu; S Chatterji; L Cottler; A Göğüş; V Mavreas; L Peters; C Pull; J Saunders; R Smeets; M R Stipec; R Vrasti; D Hasin; R Room; W Van den Brink; D Regier; J Blaine; B F Grant; N Sartorius Journal: Drug Alcohol Depend Date: 1997-09-25 Impact factor: 4.492
Authors: Frederick S Stinson; Deborah A Dawson; S Patricia Chou; Sharon Smith; Rise B Goldstein; W June Ruan; Bridget F Grant Journal: Psychol Med Date: 2007-03-05 Impact factor: 7.723
Authors: Bridget F Grant; Deborah A Dawson; Frederick S Stinson; Patricia S Chou; Ward Kay; Roger Pickering Journal: Drug Alcohol Depend Date: 2003-07-20 Impact factor: 4.492
Authors: Carlos Blanco; Joan Hanania; Nancy M Petry; Melanie M Wall; Shuai Wang; Chelsea J Jin; Kenneth S Kendler Journal: Addiction Date: 2015-06-06 Impact factor: 6.526
Authors: Susana Jiménez-Murcia; Roser Granero; Salomé Tárrega; Ariadna Angulo; Fernando Fernández-Aranda; Jon Arcelus; Ana B Fagundo; Neus Aymamí; Laura Moragas; Anne Sauvaget; Marie Grall-Bronnec; Mónica Gómez-Peña; José M Menchón Journal: J Gambl Stud Date: 2016-03