What's in a cue?: Using natural language processing to quantify content characteristics of episodic future thinking in the context of overweight and obesity.

IF 2.4 Q2 PSYCHOLOGY, CLINICAL
Health Psychology and Behavioral Medicine Pub Date : 2025-06-02 eCollection Date: 2025-01-01 DOI:10.1080/21642850.2025.2510417
Haylee Downey, Shuangshuang Xu, Sareh Ahmadi, Aditya Shah, Jeremiah M Brown, Warren K Bickel, Leonard H Epstein, Allison N Tegge, Edward A Fox, Jeffrey S Stein
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引用次数: 0

Abstract

Episodic future thinking (EFT), an intervention in which participants vividly imagine their future, has been explored as a cognitive intervention to reduce delay discounting and decrease engagement in harmful health behaviors. In these studies, participants generate text descriptions of personally meaningful future events. The content of these text descriptions, or cues, is heterogeneous and can vary along several dimensions (e.g. references to health, celebrations, family; vividness; emotional valence). However, little work has quantified this heterogeneity or potential importance for EFT's efficacy. To better understand the potential impact of EFT content in the context of health behavior change (e.g. diet) among people with or at risk for obesity and related conditions, we used data from 19 prior EFT studies, including 1705 participants (mean body mass index = 33.1) who generated 9714 cues. We used natural language processing to classify EFT content and examined whether EFT content moderated effects on delay discounting. Cues most commonly involved recreation, food, and spending time with family, and least commonly involved references to health and self-improvement. Cues were generally classified as highly vivid, episodic, and positively valent (consistent with the intervention's design). In multivariate regression with model selection, EFT content did not significantly moderate the effect of the episodic thinking intervention. Thus, we find no evidence that any of the content characteristics we examined were important moderators of the efficacy of EFT in reducing delay discounting. This suggests that EFT's efficacy is robust against variability in these characteristics. However, note that in all studies, EFT methods were designed to generate high levels of vividness, episodicity, and emotional valence, potentially resulting in a ceiling effect in these content areas. Moreover, EFT content was not experimentally manipulated, limiting causal inference. Future studies should experimentally examine these and other content characteristics and evaluate their possible role in EFT's efficacy.

球杆里有什么?使用自然语言处理量化超重和肥胖情境下情景性未来思维的内容特征。
情景未来思维(Episodic future thinking, EFT)是一种参与者生动地想象自己未来的干预手段,它是一种减少延迟折扣和减少有害健康行为参与的认知干预手段。在这些研究中,参与者生成对个人有意义的未来事件的文本描述。这些文字描述或暗示的内容是异质的,可以在几个方面有所不同(例如,提到健康、庆祝活动、家庭;生动;情感价)。然而,很少有研究量化这种异质性或对EFT疗效的潜在重要性。为了更好地了解EFT内容对肥胖或有肥胖风险及相关疾病人群健康行为改变(如饮食)的潜在影响,我们使用了19项先前EFT研究的数据,包括1705名参与者(平均体重指数= 33.1),他们产生了9714个线索。我们使用自然语言处理对EFT内容进行分类,并检验EFT内容是否会调节延迟折扣的影响。最常见的提示涉及娱乐、食物和与家人共度时光,最不常见的提示涉及健康和自我提升。线索通常被分类为高度生动、情景性和积极价值(与干预的设计一致)。在模型选择的多元回归中,EFT内容对情景思维干预的效果没有显著调节作用。因此,我们没有发现任何证据表明我们研究的任何内容特征是EFT减少延迟折扣效果的重要调节因子。这表明EFT的功效对这些特征的可变性是稳健的。然而,请注意,在所有的研究中,EFT方法被设计成产生高水平的生动性、情景性和情绪效价,可能导致这些内容领域的天花板效应。此外,EFT内容没有实验操纵,限制了因果推理。未来的研究应通过实验检验这些和其他内容特征,并评估其在EFT疗效中的可能作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.50
自引率
3.70%
发文量
57
审稿时长
24 weeks
期刊介绍: Health Psychology and Behavioral Medicine: an Open Access Journal (HPBM) publishes theoretical and empirical contributions on all aspects of research and practice into psychosocial, behavioral and biomedical aspects of health. HPBM publishes international, interdisciplinary research with diverse methodological approaches on: Assessment and diagnosis Narratives, experiences and discourses of health and illness Treatment processes and recovery Health cognitions and behaviors at population and individual levels Psychosocial an behavioral prevention interventions Psychosocial determinants and consequences of behavior Social and cultural contexts of health and illness, health disparities Health, illness and medicine Application of advanced information and communication technology.
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