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柏林赌博行为筛查量表（BIG-S）：基于临床样本的效度验证

The Berlin Inventory of Gambling behavior - Screening (BIG-S): Validation using a clinical sample.

作者信息

Wejbera Martin, Müller Kai W, Becker Jan, Beutel Manfred E

机构信息

Department of Psychosomatic Medicine and Psychotherapy, University Medical Center, Mainz, Germany.

出版信息

BMC Psychiatry. 2017 May 18;17(1):188. doi: 10.1186/s12888-017-1349-4.

DOI:10.1186/s12888-017-1349-4
PMID:28521732
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5437393/
Abstract

BACKGROUND

Published diagnostic questionnaires for gambling disorder in German are either based on DSM-III criteria or focus on aspects other than life time prevalence. This study was designed to assess the usability of the DSM-IV criteria based Berlin Inventory of Gambling Behavior Screening tool in a clinical sample and adapt it to DSM-5 criteria.

METHODS

In a sample of 432 patients presenting for behavioral addiction assessment at the University Medical Center Mainz, we checked the screening tool's results against clinical diagnosis and compared a subsample of n=300 clinically diagnosed gambling disorder patients with a comparison group of n=132.

RESULTS

The BIG-S produced a sensitivity of 99.7% and a specificity of 96.2%. The instrument's unidimensionality and the diagnostic improvements of DSM-5 criteria were verified by exploratory and confirmatory factor analysis as well as receiver operating characteristic analysis.

CONCLUSIONS

The BIG-S is a reliable and valid screening tool for gambling disorder and demonstrated its concise and comprehensible operationalization of current DSM-5 criteria in a clinical setting.

摘要

背景

已发表的德语赌博障碍诊断问卷要么基于《精神疾病诊断与统计手册》第三版（DSM-III）标准，要么侧重于除终生患病率之外的其他方面。本研究旨在评估基于《精神疾病诊断与统计手册》第四版（DSM-IV）标准的柏林赌博行为筛查工具在临床样本中的可用性，并使其符合DSM-5标准。

方法

在美因茨大学医学中心进行行为成瘾评估的432名患者样本中，我们将筛查工具的结果与临床诊断进行核对，并将n = 300名临床诊断为赌博障碍的患者子样本与n = 132名对照组进行比较。

结果

柏林赌博行为筛查工具（BIG-S）的灵敏度为99.7%，特异度为96.2%。通过探索性和验证性因素分析以及受试者工作特征分析，验证了该工具的单维度性和DSM-5标准的诊断改进。

结论

BIG-S是一种可靠且有效的赌博障碍筛查工具，并在临床环境中展示了其对当前DSM-5标准简洁且可理解的操作化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c91c/5437393/6ead550e853f/12888_2017_1349_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c91c/5437393/f07e41b9285f/12888_2017_1349_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c91c/5437393/7df7087da738/12888_2017_1349_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c91c/5437393/d9d97e3c6500/12888_2017_1349_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c91c/5437393/6ead550e853f/12888_2017_1349_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c91c/5437393/f07e41b9285f/12888_2017_1349_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c91c/5437393/7df7087da738/12888_2017_1349_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c91c/5437393/d9d97e3c6500/12888_2017_1349_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c91c/5437393/6ead550e853f/12888_2017_1349_Fig4_HTML.jpg

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