Shevorykin Alina, Pittman Jami C, Bickel Warren K, O'Connor Richard J, Malhotra Ria, Prashad Neelam, Sheffer Christine E
Pace University, New York, NY.
Wayne State University, Detroit, MI.
Health Behav Policy Rev. 2019 Jul;6(4):363-377. doi: 10.14485/hbpr.6.4.5.
Delay discounting, the propensity to devalue delayed rewards, has robust predictive validity for multiple health behaviors and is a new therapeutic target for health behavior change. Priming can influence behaviors in a predictable manner. We aimed to use the Future Thinking Priming task, administered remotely, to reliably decrease delay discounting rates.
In this pre-post randomized control group design, participants completed multiple delay discounting measures at baseline; then, 2 weeks later, they were randomized to Future Thinking Priming or Neutral Priming conditions. We hypothesized that Future Thinking Priming would significantly decrease delay discounting rates accounting for baseline delay discounting rates and time in repeated measures analyses.
Participants randomized to Future Thinking Priming (N = 783) demonstrated significantly lower delay discounting rates post-intervention than those randomized to Neutral Priming (N = 747) on multiple delay discounting measures and magnitudes.
A single administration of Future Thinking Priming produces statistically reliable reductions in delay discounting rates. The task is brief, can be administered remotely, and is highly scalable. If found to support behavior change, the task might be disseminated broadly to enhance evidence-based behavior change interventions. Future research must determine optimal exposure patterns to support durable health behavior change.
延迟折扣,即对延迟奖励进行贬值的倾向,对多种健康行为具有强大的预测效度,并且是健康行为改变的一个新的治疗靶点。启动可以以一种可预测的方式影响行为。我们旨在使用远程实施的未来思维启动任务,来可靠地降低延迟折扣率。
在这项前后测随机对照组设计中,参与者在基线时完成多项延迟折扣测量;然后,2周后,他们被随机分配到未来思维启动组或中性启动组。我们假设在重复测量分析中,考虑到基线延迟折扣率和时间,未来思维启动将显著降低延迟折扣率。
在多项延迟折扣测量和幅度上,被随机分配到未来思维启动组(N = 783)的参与者在干预后表现出比被随机分配到中性启动组(N = 747)的参与者显著更低的延迟折扣率。
单次实施未来思维启动会在统计学上可靠地降低延迟折扣率。该任务简短,可以远程实施,并且具有高度可扩展性。如果发现该任务能支持行为改变,可能会广泛传播以加强基于证据的行为改变干预措施。未来的研究必须确定最佳暴露模式以支持持久的健康行为改变。