Kurzfragebogen für Suchtbelastete Familienmitglieder--Version Glücksspiel

Buchner, Ursula Gisela; Koytek, Annalena; Fischer, Uwe C.; Wodarz, Norbert; Wolstein, Jörg

doi:10.1037/t63566-000

Cited by 3 publications

(5 citation statements)

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“…Therefore, in the future, we suggest that coping of family members might be measured with experience sampling methods or daily diary data (Aldridge-Gerry et al, 2011;Roesch et al, 2010;Stone et al, 1998). Orford et al now recommend using one scale (the Short Questionnaire for Family Members Affected by Addiction) which examines all four components of the Stress-Strain-Coping-Support model, and which includes a shortened, 12 item-long version of the CQ measuring four dimensions of coping strategies: (i) Engaged-Emotional, (ii) Engaged-Assertive, (iii) Tolerant-Inactive and (iv) Withdrawal-Independent coping (Buchner, Koytek, Fischer, Wodarz, & Wolstein, 2016;Orford, Cousins, Smith, & Bowden-Jones, 2017).…”

Section: Discussionmentioning

confidence: 99%

Measuring Coping Among Family Members with Substance-Misusing Relatives: Testing Competing Factor Structures of the Coping Questionnaire (CQ) in England and Italy

Horváth

Orford

Velleman

2019

Substance Use & Misuse

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Background: The Coping Questionnaire measures affected family members' responses to their relatives' substance misuse related problems. The Coping Questionnaire examines three main coping strategies: engaged, tolerant-inactive, and withdrawal coping. Objectives: The aim of the current study was to compare competing conceptual measurement models across two countries, including one-factor, three-factor, and higher order factor models. Methods: Secondary analysis of data from five previous studies was conducted. Samples of affected family members from England (N ¼ 323) and Italy (N ¼ 165) were aggregated into two country specific groups. Series of confirmatory factor analyses were performed to test the degree of model fit and the effects of socio-demographic variables on the coping factors. Results: A bifactor model fitted the data most closely relative to the one-and three-factor models. High rates of common variance (60-65%) were attributable to the general coping factor, while a high proportion of the variance related to the withdrawal coping subscale score was independent (66-89%) of the general coping factor. Family members' country, age, gender, the type of relationship and the main problematic substance had significant effects on the coping factors. Conclusions: A bifactor model related to coping behaviors is consistent with the theoretical assumptions of the general coping literature. The concept of a general coping factor also fits the theoretical assumptions of the stress-strain-coping-support model, with family members showing a general tendency to cope with the harmful circumstances which arise due to substance misuse.

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Section: Discussionmentioning

confidence: 99%

Measuring Coping Among Family Members with Substance-Misusing Relatives: Testing Competing Factor Structures of the Coping Questionnaire (CQ) in England and Italy

Horváth

Orford

Velleman

2019

Substance Use & Misuse

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“…For the initial and the follow‐up online survey we used a screening for GD according to DSM‐5 criteria with an internal German translation of the dichotomous Stinchfield criteria (adapted from Buchner et al., 2009 ). The clinical DSM‐5 cut‐off (APA, 2013 ), to which we adhered in the study, is four criteria.…”

Section: Methodsmentioning

confidence: 99%

“…Hanewinkel et al ( 2015 ) pointed out that the BBGS had not yet been validated in Germany. We have therefore added the BBGS to the follow‐up study to be able to validate its properties against the Stinchfield (adapted from Buchner et al., 2009 ) and a standardised clinical interview (Wittchen & Pfister, 1997 ). A highly valid and brief GD screening would be of interest for different types of prevention measures.…”

Section: Methodsmentioning

confidence: 99%

“…x GSI global severity index, and subscales somatization, depression, anxiety Internal German translation of the DSM-5 Stinchfield questionnaire (Stinchfield, 2002), adapted from Buchner et al (2009): Gambling disorder screening x x BBGS (Hanewinkel et al, 2015) x DIA-X/M-CIDI (Wittchen & Pfister, 1997) assessing: Gambling disorder and selected comorbid mental disorders x (Continues)…”

Section: Baseline Online Surveymentioning

confidence: 99%

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Characteristics and prediction of risky gambling behaviour study: A study protocol

Czernecka,

Wirkus,

Bühringer

et al. 2023

Int J Methods Psych Res

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ObjectiveThis study protocol describes the RIGAB study, a prospective case‐control‐study assessing online sports betting behaviour and underlying risk factors for the development of gambling disorder (GD). It has two aims: (1) to characterise sports bettors concerning putative risk factors and their gambling behaviour, and (2) to predict the development of GD from these factors.MethodsAt baseline, online sports bettors took part in an online survey comprising a GD screening (DSM‐5), questions on gambling behaviour and on the putative risk factors emotion regulation, impulsivity, comorbidities, stress, and substance use. Participants were reinvited for a 1‐year follow‐up online survey. In a nested design, a subsample was invited in‐person to take part in a cognitive‐behavioural task battery and a clinical interview.ResultsOf the initial 6568 online sports bettors invited, 607 participated at baseline (rate: 9.2%), 325 took part in the 1‐year follow‐up and 54 participated in the nested in‐person assessment.ConclusionThe RIGAB study combines different fields of GD studies: player tracking data and putative risk factors from self‐report and behavioural tasks. The results of this study will support the development of preventive measures for participants of online gambling based on the combined findings from previously rather distinct research fields.

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“…1 Flow chart of participants of the RIGAB study (adapted from Wirkus et al, 2023) Note. AI = Artificial Intelligence, classification according to provider's algorithm, GD = Gambling Disorder, assessed with DSM-5 Stinchfield screening questionnaire (adapted from Buchner et al, 2009). See https://osf.io/z3nbr for more details.…”

Section: Samplementioning

confidence: 99%

The relationship between player tracking data and individual risk factors in online sports bettors: an explorative study

Wirkus,

Czernecka,

Bühringer

et al. 2024

Preprint

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Online gambling has advanced responsible gambling using player tracking data. To detect at-risk gamblers early, it is crucial to understand how this data relates to individual risk factors for gambling disorder. Our exploratory study aimed to examine this relationship at two time points in players with and without gambling disorder. We analyzed the association between player tracking data and individual risk factors for gambling disorder (alcohol and tobacco use, impulsivity, difficulties in emotion identification, emotion regulation strategies, stress, comorbid mental disorders) in German online sports bettors. Associations were analyzed for overall samples from two online surveys (Nbaseline = 607, Mage = 34, 92% male; Nfollow-up = 325, Mage = 35, 94% male), with sub-analyses focusing on individuals with and without gambling disorder. Results showed low to modest associations between player tracking data and multiple risk factors, with differences between individuals with and without gambling disorder. This suggests that individual risk factors may not necessarily manifest in actual gambling behavior. Their interaction seems multidimensional and complex. Future studies should consider potential mediators and moderators (e.g. motives) of this relationship. Integrating player tracking and self-report data offers insights into understanding risky gambling in online sports bettors.

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Kurzfragebogen für Suchtbelastete Familienmitglieder--Version Glücksspiel

Cited by 3 publications

References 0 publications

Measuring Coping Among Family Members with Substance-Misusing Relatives: Testing Competing Factor Structures of the Coping Questionnaire (CQ) in England and Italy

Measuring Coping Among Family Members with Substance-Misusing Relatives: Testing Competing Factor Structures of the Coping Questionnaire (CQ) in England and Italy

Characteristics and prediction of risky gambling behaviour study: A study protocol

The relationship between player tracking data and individual risk factors in online sports bettors: an explorative study

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