Evidence map›Paper›PMID 33118381›Full record

ArticleEvolutionary psychology : an international journal of evolutionary approaches to psychology and behavior

Refined Carbohydrate Consumption and Facial Attractiveness.

Claire Berticat, Valérie Durand, Michel Raymond

Abstract read
In one paragraph

Article in Evolutionary psychology : an international journal of evolutionary approaches to psychology and behavior. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
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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.

Claire Berticat117506ISEM, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France.ORCID https://orcid.org/0000-0003-1305-5337
Valérie Durand117506ISEM, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France.
Michel Raymond117506ISEM, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France.ORCID https://orcid.org/0000-0002-1714-6984

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the second half of the 20th century, a massive increase in the consumption of refined carbohydrates has occurred, generating well-described detrimental health effects such as obesity, insulin resistance, type II diabetes, cardiovascular diseases and dental caries. Certain physiological mechanisms involved, particularly through chronic hyperglycaemia and hyperinsulinaemia, suggest that a non-medical trait such as facial attractiveness could also be affected. To explore this possibility, variation in facial attractiveness was evaluated relative to refined carbohydrate consumption. Attractiveness was assessed from facial pictures as judged by raters of the opposite sex. Estimates of refined carbohydrate consumption were based on the glycaemic load of three mealtimes at-higher glycaemic risk (breakfast, afternoon snack and between-meal snack). In the presence of several control variables, facial pictures of women and men with higher between-meal glycaemic loads were preferred by opposite-sex raters. Structural equation modeling suggests that this result is possibly mediated by an increase in apparent age for men and an increase in femininity for women. The different physiological ecologies of the three meals at-higher glycaemic risk are discussed as well as the interpretation of the results in terms of adaptation or maladaptation to the modern and unique dietary environment.

Indexed as

BeautyDiet, Carbohydrate LoadingSocial PerceptionAdolescentAdultFacial RecognitionFemaleHumansMaleYoung Adultdietary switchevolutionary dietfacial attractivenessglycaemic loadrefined carbohydratessocial traitsugars

Identifiers

PMID33118381
PMCPMC10355300

What OpenQuestion holds

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LicenceCC BY-NC
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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.