The future is now: Comparing the effect of episodic future thinking on impulsivity in lean and obese individuals

冲动性 超重 心理学 延迟贴现 满足 延迟满足 发展心理学 透视图(图形) 肥胖 临床心理学 社会心理学 医学 内科学 计算机科学 人工智能
作者
Tinuke Oluyomi Daniel,Christina M. Stanton,Leonard H. Epstein
出处
期刊:Appetite [Elsevier]
卷期号:71: 120-125 被引量:184
标识
DOI:10.1016/j.appet.2013.07.010
摘要

The choice of small immediate rewards as opposed to larger delayed rewards, or delay discounting, is an important dimension of impulsive decision making. The inability to delay gratification is related to obesity, as well as other maladaptive behaviors such as substance abuse, problem drinking, smoking, pathological gambling, and risky HIV behaviors. One way to reduce delay discounting (DD) may be to use prospective imagery in the form of episodic future thinking (EFT) during inter-temporal decision making. We have recently shown that EFT reduces DD and ad libitum energy intake in obese individuals. However, no studies have examined whether the magnitude of the EFT effect differs between lean and overweight/obese individuals. We conducted a within-subject design experiment to compare the efficacy of EFT versus a control task in reducing DD between lean (N=24) and overweight/obese (N=24) women. Participants attended two sessions in which they engaged in either EFT or control episodic thinking during a DD task. We also examined whether individual differences such as trait time perspective, behavioral inhibition or behavioral activation moderated the EFT effect on DD. Results showed EFT reduced DD similarly for lean and overweight/obese individuals. The EFT effect was moderated by behavioral activation. This suggests EFT is just as effective in reducing impulsive decision making in obese individuals as it is in lean individuals and may be useful in reducing other impulsive obesity related behaviors.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
00完成签到,获得积分10
1秒前
W哇发布了新的文献求助10
1秒前
太阳发布了新的文献求助10
2秒前
徐佳达完成签到,获得积分10
2秒前
Turb完成签到,获得积分10
2秒前
2秒前
朽木发布了新的文献求助20
3秒前
3秒前
3秒前
曾经初珍完成签到,获得积分20
4秒前
所所应助yzxzdm采纳,获得10
5秒前
喜悦的冷松完成签到,获得积分10
6秒前
6秒前
深情安青应助mublake采纳,获得10
6秒前
NEKO发布了新的文献求助20
7秒前
7秒前
曾经初珍发布了新的文献求助10
8秒前
斯文败类应助xiao采纳,获得10
8秒前
8秒前
8秒前
道阻且长发布了新的文献求助10
8秒前
科研通AI5应助DE2022采纳,获得10
8秒前
上官若男应助ghost采纳,获得10
9秒前
科研通AI5应助兴奋硬币采纳,获得10
9秒前
JUSTDOIT发布了新的文献求助10
9秒前
9秒前
10秒前
zxy完成签到 ,获得积分10
10秒前
搜集达人应助li采纳,获得50
10秒前
11秒前
hongxing liu发布了新的文献求助10
11秒前
可爱的函函应助道阻且长采纳,获得10
11秒前
yu1212zhang发布了新的文献求助10
12秒前
Ava应助00采纳,获得10
13秒前
沐沐发布了新的文献求助10
13秒前
13秒前
13秒前
14秒前
禾下乘凉完成签到,获得积分10
14秒前
高分求助中
Continuum Thermodynamics and Material Modelling 4000
Production Logging: Theoretical and Interpretive Elements 2700
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
El viaje de una vida: Memorias de María Lecea 800
Luis Lacasa - Sobre esto y aquello 700
Novel synthetic routes for multiple bond formation between Si, Ge, and Sn and the d- and p-block elements 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3515364
求助须知:如何正确求助?哪些是违规求助? 3097702
关于积分的说明 9236476
捐赠科研通 2792578
什么是DOI,文献DOI怎么找? 1532606
邀请新用户注册赠送积分活动 712198
科研通“疑难数据库(出版商)”最低求助积分说明 707160