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necessary validity research or developing a proper theoretical foundation for behavioral addictions. This type of research will thus provide us with more screening instruments (confirmatory thinking), instead of stimulating the fundamental validation and
Recommendations for increasing research on co-occurring serious mental illness and gambling problems
Commentary on: Disordered gambling and psychosis: Prevalence and clinical correlates (Cassetta et al., 2018)
geographically diverse, and which include measures of symptom severity and types of gambling that are common in this population Screening Screening instruments for assessing gambling problems within this
Factors associated with postural control in nursing home residents
Oral presentation at the 13th Conference of the Hungarian Medical Association of America – Hungary Chapter (HMAA-HC) at 30–31 August 2019, in Balatonfüred, Hungary
. Falls risk factors and a compendium of falls risk screening instruments . J Geriatr Phys Ther 2010 ; 33 ( 4 ): 184 – 97 . 10.1519/JPT.0b013e3181ff2a24 20. Chou CY , Chien CW , Hsueh IP , Sheu CF , Wang CH , Hsieh CL . Developing a
screening instruments. Stroke, 2009, 40 (2), 523–529. Robinson, R. G., Spalletta, G.: Poststroke depression: A review. Can. J. Psychiatry, 2010, 55 (6), 341–349. Schubert, D. S. P
-speaking countries and facilitates cross-cultural studies using related screening instruments. Methods Participants and procedure The target population was Spanish adult gamblers and a Barcelona market research company
perspective in addition to adolescent ratings with adapted screening instruments (e.g., the SDQ, Goodman, 1997 ), and to compare these two perspectives. Combining external with self-reported ratings seems to be a promising approach for a deeper understanding
Hurt-Insult-Threaten-Screamed Scale (HITS; Sherin, Sinacore, Li, Zitter, & Shakil, 1998 ) was modified into two single items, binary screening instruments to measure whether the participant had experienced FV victimization and perpetration in the past
addictive behaviors seem to be valid for the candidate phenomenon. This also implies that it is not enough if only a very few studies, for example using a new screening instrument, have addressed a new potential addictive behavior to use the term “disorder
that most persons in need of help are correctly identified via the screening instrument. Finally, future studies could also apply other statistical approaches (e.g., supervised machine learning) to identify optimal cut-off scores based on a selection of
H. Kranzler 1995 The Alcohol Use Disorder Identification Test (AUDIT): Validation of a screening instrument for use in medical settings Journal of Studies on Alcohol
