Evidence map›Paper›PMID 35405975›Full record

SynthesisNutrients2022

Food-Specific Inhibition Training for Food Devaluation: A Meta-Analysis.

Yingkai Yang, Le Qi, Filip Morys, Qian Wu, Hong Chen

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

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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

5 authors.

Yingkai YangFaculty of Psychology, Southwest University, No. 2 Tiansheng Street, Beibei District, Chongqing 400715, China.ORCID 0000-0002-1845-1374
Le QiSchool of General Education, Chongqing City Management College, Chongqing 401331, China.
Filip MorysMontreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada.
Qian WuThe Lab of Mental Health and Social Adaptation, Faculty of Psychology, Research Center of Mental Health Education, Southwest University, Chongqing 400715, China.
Hong ChenFaculty of Psychology, Southwest University, No. 2 Tiansheng Street, Beibei District, Chongqing 400715, China.

Funding

China Postdoctoral Science Foundation 7810100287Fundamental Research Funds for the Central Universities SWU 7110200685
6 · The paper itself

Abstract

Theories have suggested that food-specific inhibition training could lead to food devaluation which, in turn, may help people to regulate their eating behavior. In this review, we have synthesized the current literature on this topic by conducting a meta-analysis of studies investigating the effects of food-specific inhibition training on food evaluation. We identified 24 studies-with 36 independent samples, 77 effect sizes, and 3032 participants-that met our inclusion criteria. Effect sizes were analyzed using the robust variance estimation in random effects meta-regression technique. The results indicate that food-specific inhibition training can lead to statistically significant reductions in food evaluation. More specifically, it was observed that the effects of training on participants' food evaluation differed according to the type of evaluation; food-specific inhibition training significantly decreased participants' explicit food evaluation, but not their implicit food evaluation. However, because most of the included studies focused on trained food items and short-term outcomes in normal-weight samples, more research is needed on the continuance of the training effects, as well as on the extent to which effects can be generalized to untrained food items or different populations (e.g., overweight or obese individuals).

Indexed as

FoodInhibition, PsychologicalFeeding BehaviorHumansObesityOverweightfood devaluationfood-specific inhibition trainingmeta-analysis

Identifiers

PMID35405975
PMCPMC9002952

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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.