Strong Stephanie J, Charles Nora E, Bullerjahn Margaret R, Tennity Cassidy, O'Dell Chloe, Cordova Emily
School of Psychology, University of Southern Mississippi, Hattiesburg, MS, USA.
Psychol Rep. 2024 Jan 29:332941241226901. doi: 10.1177/00332941241226901.
The 2020 National Survey on Drug Use indicates nearly three quarters of individuals ages 18-25 have used substances in the past year. Research suggests individuals who use substances to cope with negative mood states are typically more substance-involved, report more psychological distress, and have a more extensive treatment history. Additionally, the high rate of polysubstance use among substance using adults in the U.S. highlights the need for broadband measures that can adequately capture use, consequences, and motivations for use of multiple substances. However, most measures assessing motives for use are typically substance specific. Recently, Biolcati and Passini (2019) developed a brief, but comprehensive model of broad substance use motives (i.e., Substance Use Motives Measure, SUMM) based on well-established motives questionnaires (e.g., DMQ-R, MMQ). They found support for their proposed eight-factor model in an online sample of Italian citizens (ages 18-60). No studies to date have examined the psychometric properties of the SUMM with an English-speaking or US college student sample. The current study evaluates the factor structure of the SUMM in a sample of 143 college students (74.8% female, 77.6% White, and 94.4% non-Hispanic/Latinx) at a large, southeastern university in the United States. Results of a confirmatory factor analysis showed support for the previously identified eight-factor structure for the SUMM, with acceptable model fit and internal consistency of each factor found. Findings support using the SUMM as a broad measure of substance use motives, but more research is needed to assess measurement invariance across different groups and to evaluate external, concurrent, and convergent validity using other well-established measures of substance use motives, severity, and psychiatric symptomatology.
2020年全国药物使用调查显示,在过去一年中,近四分之三的18至25岁个体使用过药物。研究表明,使用药物来应对负面情绪状态的个体通常药物使用程度更高,报告更多心理困扰,且有更广泛的治疗史。此外,美国药物使用成年人中多药使用的高比例凸显了对能够充分捕捉多种药物使用、后果及使用动机的广泛测量方法的需求。然而,大多数评估使用动机的测量方法通常是针对特定药物的。最近,比奥尔卡蒂和帕西尼(2019年)基于成熟的动机问卷(如DMQ-R、MMQ)开发了一个简短但全面的广泛药物使用动机模型(即药物使用动机测量量表,SUMM)。他们在意大利公民(18至60岁)的在线样本中为其提出的八因素模型找到了支持。迄今为止,尚无研究在说英语的样本或美国大学生样本中检验SUMM的心理测量特性。本研究在美国东南部一所大型大学对143名大学生(74.8%为女性,77.6%为白人,94.4%为非西班牙裔/拉丁裔)样本评估了SUMM的因子结构。验证性因子分析结果显示,支持之前确定的SUMM的八因素结构,各因子具有可接受的模型拟合度和内部一致性。研究结果支持将SUMM用作药物使用动机的广泛测量方法,但需要更多研究来评估不同群体间的测量不变性,并使用其他成熟的药物使用动机、严重程度和精神症状测量方法来评估外部效度、同时效度和聚合效度。