Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, California, USA.
School of Medicine, Oregon Health and Science University, Portland, Oregon, USA.
Subst Use Misuse. 2022;57(3):329-336. doi: 10.1080/10826084.2021.1995756. Epub 2022 Jan 31.
Little is known about the momentary patterns and predictors of substance use among young adults who experience homelessness. To enhance understanding of substance use patterns, smartphone-based ecological momentary assessment (EMA) was utilized to examine the real-time association between affect and substance use. : 251 young adults (aged 18-27) with history of homelessness were recruited from supportive housing programs and drop-in facilities in Los Angeles. Exploratory factor analysis was used to examine the latent structure of positive and negative affective states and mixed-effects logistic regression models were completed separately for both the full remaining sample ( = 227) and a subsample of alcohol or cannabis users ( = 145) to evaluate whether positive or negative affect predicted lead, recent, or lagged substance use. : Greater positive affect within-person was associated with greater odds of alcohol or cannabis use within the past two hours, and participants who reported feeling more negative than their peers experienced greater odds of reporting use within the past 4 h and the following two hours. : Results suggest that individuals experience a heightened positive mood compared to their own average mood, concurrently or immediately after engaging in alcohol or cannabis use. Heightened positive mood might be an anticipatory effect of drinking or cannabis use. Future research should consider a longer study period to capture multiple drinking or drug use events over a longer period and consider more environmental exposures that may influence the frequency or intensity of substance use.
人们对无家可归的年轻成年人即时物质使用模式和预测因素知之甚少。为了增强对物质使用模式的理解,使用基于智能手机的生态瞬时评估(EMA)来检查情感和物质使用之间的实时关联。:从洛杉矶的支持性住房计划和临时设施中招募了 251 名有过无家可归经历的年轻成年人(年龄在 18-27 岁之间)。探索性因素分析用于检查积极和消极情感状态的潜在结构,并且分别针对完整剩余样本(n=227)和酒精或大麻使用者的子样本(n=145)完成混合效应逻辑回归模型,以评估积极或消极情绪是否预测先导、最近或滞后的物质使用。:个体的内个体积极情绪越高,过去两小时内饮酒或使用大麻的可能性就越大,与同龄人相比感到更消极的参与者报告过去 4 小时和接下来的两小时内使用的可能性更大。:结果表明,个体在经历酒精或大麻使用时,与自身的平均情绪相比,情绪会更高,且可能是同时或立即出现的。情绪高涨可能是饮酒或使用大麻的预期效应。未来的研究应该考虑更长的研究期,以在更长的时间内捕捉多次饮酒或药物使用事件,并考虑更多可能影响物质使用频率或强度的环境暴露。