社交网络指标对酒精使用障碍的诊断鉴别:使用高分辨率和简短评估进行初步检查。

IF 3.2 2区 心理学 Q1 PSYCHOLOGY, MULTIDISCIPLINARY Psychology of Addictive Behaviors Pub Date : 2024-09-01 Epub Date: 2024-04-18 DOI:10.1037/adb0001006
Emily E Levitt, Desmond Singh, Allan Clifton, Robert Stout, Lawrence Sweet, John F Kelly, James MacKillop
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引用次数: 0

摘要

目的:社会网络分析(SNA社会网络分析(SNA)描述了一个人社会关系的结构和组成。在主要针对大学本科生的观察性研究中,网络特征与酒精消费有关。目前还没有研究调查一个人的社交网络指标是否能准确识别酒精使用障碍(AUD)的存在,从而为识别酒精使用障碍提供一种间接策略:两项横断面病例对照设计研究了社交网络指标在识别 AUD 患者(病例)与无 AUD 的人口统计学匹配饮酒者(对照)方面的临床实用性。研究1(N = 174)采用了高分辨率自我中心SNA评估,而研究2(N = 189)则采用了简短评估:在研究 1 中,AUD+ 参与者与对照组之间在网络酒精严重程度(即大量饮酒天数;d = 1.23)和频率(d = 0.35)方面存在显著差异,但在网络结构特征方面不存在显著差异。网络酒精严重程度对 AUD+个体和对照组的分类效果非常好(曲线下面积 [AUC] = 0.80),而网络频率则不然(AUC = 0.61)。在研究 2 中,网络酒精严重程度(d = 1.02)、数量(d = 0.74)和频率(d = 0.43)存在显著差异,严重程度表现出良好的区分度(AUC = 0.76):结论:酒精参与的社会网络指标能将 AUD+ 患者与匹配的对照组很好地区分开来,简短评估的效果几乎与高分辨率评估一样好。这些研究结果为与严重程度相关的 SNA 指标作为 AUD 的新型临床评估方法提供了概念证明。(PsycInfo Database Record (c) 2024 APA,保留所有权利)。
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Diagnostic discrimination of social network indicators in alcohol use disorder: Initial examination using high-resolution and brief assessments.

Objective: Social network analysis (SNA) characterizes the structure and composition of a person's social relationships. Network features have been associated with alcohol consumption in observational studies, primarily of university undergraduates. No studies have investigated whether indicators from a person's social network can accurately identify the presence of alcohol use disorder (AUD), offering an indirect strategy for identifying AUD.

Method: Two cross-sectional case-control designs examined the clinical utility of social network indicators for identifying individuals with AUD (cases) versus demographically matched drinkers without AUD (controls). Study 1 (N = 174) used high-resolution egocentric SNA assessment, whereas Study 2 (N = 189) used a brief assessment.

Results: In Study 1, significant differences between AUD+ participants and controls were present for network alcohol severity (i.e., heavy drinking days; d = 1.23) and frequency (d = 0.35), but not network structural features. Network alcohol severity exhibited very good classification of AUD+ individuals versus controls (area under the curve [AUC] = 0.80), whereas network frequency did not (AUC = 0.61). In Study 2, significant differences were present for network alcohol severity (d = 1.02), quantity (d = 0.74), and frequency (d = 0.43), and severity exhibited good differentiation (AUC = 0.76).

Conclusions: Social network indicators of alcohol involvement robustly differentiated AUD+ individuals from matched controls, and the brief assessment performed almost as well as the high-resolution assessment. These findings provide proof-of-concept for severity-related SNA indicators as promising novel clinical assessments for AUD. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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来源期刊
CiteScore
4.90
自引率
11.80%
发文量
165
期刊介绍: Psychology of Addictive Behaviors publishes peer-reviewed original articles related to the psychological aspects of addictive behaviors. The journal includes articles on the following topics: - alcohol and alcoholism - drug use and abuse - eating disorders - smoking and nicotine addiction, and other excessive behaviors (e.g., gambling) Full-length research reports, literature reviews, brief reports, and comments are published.
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