TY - JOUR
T1 - Think fast
T2 - rapid assessment of the effects of episodic future thinking on delay discounting in overweight/obese participants
AU - Stein, Jeffrey S.
AU - Sze, Yan Yan
AU - Athamneh, Liqa
AU - Koffarnus, Mikhail N.
AU - Epstein, Leonard H.
AU - Bickel, Warren K.
N1 - Publisher Copyright:
© 2017, Springer Science+Business Media New York.
PY - 2017/10/1
Y1 - 2017/10/1
N2 - Accumulating laboratory-based evidence indicates that reducing delay discounting (devaluation of delayed outcomes) with the use of episodic future thinking (EFT; mental simulation of future events) improves dietary decision-making and other maladaptive behaviors. Recent work has adapted EFT for use in the natural environment to aid in dietary and weight control by engaging participants in EFT repeatedly throughout the day. These efforts may benefit from minimizing the amount of time required for measurement and implementation of EFT. Using Amazon Mechanical Turk in the present study, we show that EFT effectively reduces delay discounting in overweight/obese participants (N = 131) using the recently developed 5-trial, adjusting-delay discounting task, which can be completed rapidly (25 s) and is therefore ideally suited for ecological momentary assessment. Moreover, measures of delay discounting from this task were strongly correlated with those from the commonly used adjusting-amount task (r = .859). Significant effects of EFT on discounting, however, depended on the number of future events participants generated and imagined. Use of a range of events and future time frames (as is typical in the literature) significantly reduced delay discounting, whereas use of only a single event did not.
AB - Accumulating laboratory-based evidence indicates that reducing delay discounting (devaluation of delayed outcomes) with the use of episodic future thinking (EFT; mental simulation of future events) improves dietary decision-making and other maladaptive behaviors. Recent work has adapted EFT for use in the natural environment to aid in dietary and weight control by engaging participants in EFT repeatedly throughout the day. These efforts may benefit from minimizing the amount of time required for measurement and implementation of EFT. Using Amazon Mechanical Turk in the present study, we show that EFT effectively reduces delay discounting in overweight/obese participants (N = 131) using the recently developed 5-trial, adjusting-delay discounting task, which can be completed rapidly (25 s) and is therefore ideally suited for ecological momentary assessment. Moreover, measures of delay discounting from this task were strongly correlated with those from the commonly used adjusting-amount task (r = .859). Significant effects of EFT on discounting, however, depended on the number of future events participants generated and imagined. Use of a range of events and future time frames (as is typical in the literature) significantly reduced delay discounting, whereas use of only a single event did not.
KW - Delay discounting
KW - Episodic future thinking
KW - Intervention
KW - Obesity
KW - Overweight
KW - Prospection
UR - http://www.scopus.com/inward/record.url?scp=85019231713&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85019231713&partnerID=8YFLogxK
U2 - 10.1007/s10865-017-9857-8
DO - 10.1007/s10865-017-9857-8
M3 - Article
C2 - 28508382
AN - SCOPUS:85019231713
SN - 0160-7715
VL - 40
SP - 832
EP - 838
JO - Journal of Behavioral Medicine
JF - Journal of Behavioral Medicine
IS - 5
ER -