Evidence map›Paper›PMID 29656049›Full record

ArticleEating behaviors2018

Reinforcing value and hypothetical behavioral economic demand for food and their relation to BMI.

Leonard H Epstein, Rocco A Paluch, Katelyn A Carr, Jennifer L Temple, Warren K Bickel, James MacKillop

Abstract read
In one paragraph

Article in Eating behaviors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Leonard H EpsteinUniversity at Buffalo, Jacobs School of Medicine and Biomedical Sciences, United States. Electronic address: lhenet@buffalo.edu.
Rocco A PaluchUniversity at Buffalo, Jacobs School of Medicine and Biomedical Sciences, United States.
Katelyn A CarrUniversity at Buffalo, Jacobs School of Medicine and Biomedical Sciences, United States.
Jennifer L TempleUniversity at Buffalo, Jacobs School of Medicine and Biomedical Sciences, United States.
Warren K BickelVirginia Tech Carilion Research Institute, United States.
James MacKillopMichael G. DeGroote School of Medicine, McMaster University, Canada.

Funding

Delay discounting as a target for self-regulation in prediabetesUH2DK109543 · NIDDK · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI BICKEL, WARREN K, EPSTEIN, LEONARD H · 2015 to 2017
$2.4M
Analysis of price changes and food purchases in obese and lean mothersR01HD057975 · NICHD · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI EPSTEIN, LEONARD H · 2010 to 2013
$1.8M
The influence of pricing and nutrient profiling on food purchasesR01CA167091 · NCI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI EPSTEIN, LEONARD H · 2012 to 2014
$1.7M
NCI NIH HHS R01 CA167091NICHD NIH HHS R01 HD057975NIDDK NIH HHS UH2 DK109543
6 · The paper itself

Abstract

Food is a primary reinforcer, and food reinforcement is related to obesity. The reinforcing value of food can be measured by establishing how hard someone will work to get food on progressive-ratio schedules. An alternative way to measure food reinforcement is a hypothetical purchase task which creates behavioral economic demand curves. This paper studies whether reinforcing value and hypothetical behavioral demand approaches are assessing the same or unique aspects of food reinforcement for low (LED) and high (HED) energy density foods using a combination of analytic approaches in females of varying BMI. Results showed absolute reinforcing value for LED and HED foods and relative reinforcing value were related to demand intensity (r's = 0.20-0.30, p's < 0.01), and demand elasticity (r's = 0.17-0.22, p's < 0.05). Correlations between demographic, BMI and restraint, disinhibition and hunger variables with the two measures of food reinforcement were different. Finally, the two measures provided unique contributions to predicting BMI. Potential reasons for differences between the reinforcing value and hypothetical purchase tasks were actual responding versus hypothetical purchasing, choice of reinforcers versus purchasing of individual foods in the demand task, and the differential role of effort in the two tasks. Examples of how a better understanding of food reinforcement may be useful to prevent or treat obesity are discussed, including engaging in alternative non-food reinforcers as substitutes for food, such as crafts or socializing in a non-food environment, and reducing the value of immediate food reinforcers by episodic future thinking.

Indexed as

Body Mass IndexReinforcement, PsychologyAdultConsumer BehaviorFemaleFoodHumansMaleMiddle AgedObesityBehavioral demandBehavioral economicsFood reinforcementObesity

Identifiers

PMID29656049
PMCPMC9664377

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Registered trials

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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.