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. , Wegmann , E. , Oelker , A. , Stark , R. , Müller , A. , Montag , C. , … Brand , M. ( 2022 ). Assessment of Criteria for Specific Internet-use Disorders (ACSID-11): Introduction of a new screening instrument capturing ICD-11 criteria for gaming
, van den Brink, Veltman, & Goudriaan, 2010 ; Sharpe, 2002 ). However, craving has not yet been proposed as a diagnostic GD criterion in the DSM, nor does it explicitly appear in the most common GD screening instruments, such as the South Oaks Gambling
.99, SD = 0.82 at baseline and 13.89, SD = 0.89 at T2. Female: 49.2% 49.3% Male: 50.8% 50.7% 19. Choo et al. 2015 Singapore 1 year 2,974 at baseline, 2,601 at T2 The number of pathological symptoms of video-gaming A 10-item screening instrument derived
, S. M. , Wegmann , E. , Oelker , A. , Stark , R. , Müller , A. , Montag , C. …, Brand , M. ( 2022 ). Assessment of Criteria for Specific Internet-use Disorders (ACSID-11): Introduction of a new screening instrument capturing ICD-11
://doi.org/10.1186/2046-4053-4-1 . Müller , S. M. , Wegmann , E. , Oelker , A. , Stark , R. , Müller , A. , Montag , C. , … Brand , M. ( 2022 ). Assessment of Criteria for Specific Internet-use Disorders (ACSID-11): Introduction of a new screening
, M. ( 2015 ). The Pathological Buying Screener: Development and psychometric properties of a new screening instrument for the assessment of pathological buying symptoms . PloS One , 10 ( 10 ), e0141094 . https://doi.org/10.1371/journal
.2007.0170 Müller , S. M. , Wegmann , E. , Oelker , A. , Stark , R. , Müller , A. , Montag , C. , … Brand , M. ( 2022 ). Assessment of criteria for specific Internet-use disorders (ACSID-11): Introduction of a new screening instrument
, Facebook) recruited people who had recovered from gambling disorder from Canada and the United States. Participants ( N = 1,160) who responded to the online advertisements were first directed to complete a brief online screening instrument to determine
screening instrument for the assessment of pathological buying symptoms . Plos One , 10 ( 10 ), e0141094 . https://doi.org/10.1371/journal.pone.0141094 . Nicoli de Mattos , C. , Kim , H. S. , Marasaldi , R. F. , Requião , M. G. , de Oliveira , E
yet despite high public, clinical, and research concerns ( Matrix, 2014 ; Starosta & Izydorczyk, 2020 ). This study aims to close this significant gap by (1) developing a screening instrument to assess streaming disorder (StrD) based on the ICD-11
