Evidence map›Paper›PMID 32834246›Full record

ArticleJournal of economic behavior & organization2020

Can episodic future thinking affect food choices?

Michelle S Segovia, Marco A Palma, Rodolfo M Nayga

Open access · greenAbstract read
In one paragraph

Article in Journal of economic behavior & organization, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 23 citations in OpenAlex.

  1. Is episodic future thinking effective in mitigating the influence of time preference in time trade-off?The European journal of health economics : HEPAC : health economics in prevention and care · 2025
    Trial
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Michelle S SegoviaDivision of Applied Social Sciences, University of Missouri. Mumford Hall, Columbia, MO 65211, United States.
Marco A PalmaDepartment of Agricultural Economics, Texas A&M University. 2124 TAMU, College Station, TX 77843, United States.
Rodolfo M NaygaDepartment of Agricultural Economics and Agribusiness, University of Arkansas. Agriculture Building, Fayetteville, AR 72701, United States.
Texas A&M University · USUniversity of Missouri · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Episodic future thinking, defined as the ability to project oneself into the future, has proven useful to pre-experience the future consequences of present actions. We investigate how episodic future thinking influences the food choices of normal weight, overweight, and obese individuals. In doing so, we conduct a controlled laboratory experiment in which participants are presented with representations of weight-increased and weight-reduced modified images of themselves before performing a food choice task. This allows subjects to vividly imagine the future consequences of their actions. We also test the effect of providing health-related information on food choices to compare with the episodic future thinking effect. Our results suggest that while providing health-related information increases the number of lite snack choices of overweight and obese individuals, engaging in episodic future thinking has a positive impact on the food choices of the obese only. These findings are supported by eye-tracking data showing how visual attention and emotional arousal (measured by pupil size) impact individuals' food choices.

Indexed as

Episodic prospectionEye-trackingFood choiceFuture thinkingObesity

Identifiers

PMID32834246
PMCPMC7358763
OpenAlexW3042359777

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.