Luken Amanda, Rabinowitz Jill A, Wells Jonathan L, Sosnowski David W, Strickland Justin C, Thrul Johannes, Kirk Gregory D, Maher Brion S
Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.
Department of Epidemiology, School of Population Health, Virginia Commonwealth University, Richmond, VA, United States.
JMIR Form Res. 2024 Feb 27;8:e48954. doi: 10.2196/48954.
Delay discounting quantifies an individual's preference for smaller, short-term rewards over larger, long-term rewards and represents a transdiagnostic factor associated with numerous adverse health outcomes. Rather than a fixed trait, delay discounting may vary over time and place, influenced by individual and contextual factors. Continuous, real-time measurement could inform adaptive interventions for various health conditions.
The goals of this paper are 2-fold. First, we present and validate a novel, short, ecological momentary assessment (EMA)-based delay discounting scale we developed. Second, we assess this tool's ability to reproduce known associations between delay discounting and health behaviors (ie, substance use and craving) using a convenience-based sample.
Participants (N=97) were adults (age range 18-71 years), recruited on social media. In phase 1, data were collected on participant sociodemographic characteristics, and delay discounting was evaluated via the traditional Monetary Choice Questionnaire (MCQ) and our novel method (ie, 7-item time-selection and 7-item monetary-selection scales). During phase 2 (approximately 6 months later), participants completed the MCQ, our novel delay discounting measures, and health outcomes questions. The correlations between our method and the traditional MCQ within and across phases were examined. For scale reduction, a random number of items were iteratively selected, and the correlation between the full and random scales was assessed. We then examined the association between our time- and monetary-selection scales assessed during phase 2 and the percentage of assessments that participants endorsed using or craving alcohol, tobacco, or cannabis.
In total, 6 of the 7 individual time-selection items were highly correlated with the full scale (r>0.89). Both time-selection (r=0.71; P<.001) and monetary-selection (r=0.66; P<.001) delay discounting rates had high test-retest reliability across phases 1 and 2. Phase 1 MCQ delay discounting function highly correlated with phase 1 (r=0.76; P<.001) and phase 2 (r=0.45; P<.001) time-selection delay discounting scales. One or more randomly chosen time-selection items were highly correlated with the full scale (r>0.94). Greater delay discounting measured via the time-selection measure (adjusted mean difference=5.89, 95% CI 1.99-9.79), but not the monetary-selection scale (adjusted mean difference=-0.62, 95% CI -3.57 to 2.32), was associated with more past-hour tobacco use endorsement in follow-up surveys.
This study evaluated a novel EMA-based scale's ability to validly and reliably assess delay discounting. By measuring delay discounting with fewer items and in situ via EMA in natural environments, researchers may be better able to identify individuals at risk for poor health outcomes.
延迟折扣量化了个体对较小的短期奖励相对于较大的长期奖励的偏好,是一个与众多不良健康结果相关的跨诊断因素。延迟折扣并非固定不变的特质,可能会随时间和地点而变化,受到个体和环境因素的影响。连续、实时的测量可为针对各种健康状况的适应性干预提供依据。
本文有两个目标。首先,我们展示并验证我们开发的一种基于新颖、简短的生态瞬时评估(EMA)的延迟折扣量表。其次,我们使用基于便利抽样的样本评估该工具再现延迟折扣与健康行为(即物质使用和渴望)之间已知关联的能力。
参与者(N = 97)为成年人(年龄范围18 - 71岁),通过社交媒体招募。在第一阶段,收集参与者的社会人口学特征数据,并通过传统的货币选择问卷(MCQ)和我们的新方法(即7项时间选择和7项货币选择量表)评估延迟折扣。在第二阶段(大约6个月后),参与者完成MCQ、我们新的延迟折扣测量以及健康结果问题。检查我们的方法与传统MCQ在各阶段内以及各阶段之间的相关性。为了简化量表,迭代选择随机数量的项目,并评估完整量表与随机量表之间的相关性。然后我们检查在第二阶段评估的时间和货币选择量表与参与者认可在过去一小时内使用或渴望使用酒精、烟草或大麻的评估百分比之间的关联。
7个个体时间选择项目中的6个与完整量表高度相关(r > 0.89)。时间选择(r = 0.71;P <.001)和货币选择(r = 0.66;P <.001)延迟折扣率在第1阶段和第2阶段具有较高的重测信度。第1阶段MCQ延迟折扣函数与第1阶段(r = 0.76;P <.001)和第2阶段(r = 0.45;P <.001)时间选择延迟折扣量表高度相关。一个或多个随机选择的时间选择项目与完整量表高度相关(r > 0.94)。通过时间选择测量法测得的更大延迟折扣(调整后平均差 = 5.89,95% CI 1.99 - 9.79),但不是货币选择量表(调整后平均差 = -0.62,95% CI -3.57至2.32),与后续调查中更多过去一小时内烟草使用认可相关。
本研究评估了一种基于新颖EMA的量表有效且可靠地评估延迟折扣的能力。通过用更少的项目并在自然环境中通过EMA现场测量延迟折扣,研究人员可能能够更好地识别健康结果不佳风险的个体。