Evidence map›Paper›PMID 41408117›Full record

ArticleScientific reports2025

Facial femininity of potential rivals predicts jealousy in both heterosexual and lesbian women.

Junzhi Dong, Benedict C Jones, Esperanza Miyake, Victor K M Shiramizu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Junzhi DongDepartment of Psychological Sciences & Health, University of Strathclyde, Glasgow, UK.
Benedict C JonesDepartment of Psychological Sciences & Health, University of Strathclyde, Glasgow, UK. benedict.jones@strath.ac.uk.
Esperanza MiyakeJournalism, Media and Communication, Department of Humanities, University of Strathclyde, Glasgow, UK.
Victor K M ShiramizuDepartment of Psychological Sciences & Health, University of Strathclyde, Glasgow, UK.

Funding

ESRC ES/X000249/1
6 · The paper itself

Abstract

Individuals displaying cues of higher mate value (e.g., attractive characteristics) are thought to represent a greater threat to pair bonds and, consequently, elicit greater jealousy. Previous studies reporting that more feminine potential rivals elicit greater jealousy in women used stimuli in which feminine characteristics were experimentally manipulated and assessed jealousy using forced-choice methods. However, this method for assessing perceptions has recently been criticised for lacking ecological validity. Consequently, in the current study, women rated how jealous they would feel if rivals depicted in natural (i.e., unmanipulated) face photographs were flirting with their romantic partner. Facial femininity was assessed using objective analyses of shape and via third-party ratings of facial femininity. For heterosexual participants, women reported significantly greater jealousy when imagining more feminine women flirting with their romantic partner. This pattern of results was also seen for lesbian participants, although the correlation between rival femininity and jealousy was significantly weaker for lesbian participants than it was for heterosexual participants. Collectively, these results present further evidence that facial femininity of potential rivals influences women's reported jealousy, particularly in heterosexual women, and is further evidence for the proposal that putative markers of the mate value of rivals play a role in women's jealousy.

Indexed as

FaceFemininityHeterosexualityHomosexuality, FemaleJealousyAdultFemaleHumansSexual PartnersYoung Adult

Identifiers

PMID41408117
PMCPMC12712041

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.