Alina Shevorykin1, Jami C Pittman2, Warren K Bickel3, Richard J O'Connor4, Ria Malhotra5, Neelam Prashad6, Christine E Sheffer4. 1. Pace University, New York, NY. 2. Wayne State University, Detroit, MI. 3. Advanced Recovery Research Center, Virginia Tech Carilion Research Institute, Roanoke, VA. 4. Roswell Park Comprehensive Cancer Center, Buffalo, NY. 5. City University of New York Medical School, New York, NY. 6. Columbia University, New York, NY.
Abstract
OBJECTIVE: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
OBJECTIVE: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
Entities:
Keywords:
behavioral medicine; delay discounting; obesity; priming; public health; tobacco use and control
Authors: Christine E Sheffer; Warren K Bickel; Thomas H Brandon; Christopher T Franck; Darwin Deen; Luana Panissidi; Syed Amir Abdali; Jami C Pittman; Sara E Lunden; Neelam Prashad; Ria Malhotra; Antonio Mantovani Journal: Drug Alcohol Depend Date: 2017-11-04 Impact factor: 4.492
Authors: Christine Sheffer; James Mackillop; John McGeary; Reid Landes; Lawrence Carter; Richard Yi; Bryan Jones; Darren Christensen; Maxine Stitzer; Lisa Jackson; Warren Bickel Journal: Am J Addict Date: 2012-04-06
Authors: Richard J O'Connor; Ellen Carl; Alina Shevorykin; Jeffrey S Stein; Darian Vantucci; Amylynn Liskiewicz; Lindsey Bensch; Hannah Thorner; Matthew Marion; Andrew Hyland; Christine E Sheffer Journal: Int J Environ Res Public Health Date: 2021-11-29 Impact factor: 3.390