Evidence map›Paper›PMID 38503793›Full record

ArticleScientific reports2024

Gait pattern can alter aesthetic visual impression from a third-person perspective.

Sakiko Saito, Momoka Saito, Megumi Kondo, Yoshiyuki Kobayashi

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. The Psychological Nature of Female Gait Attractiveness.Bioengineering (Basel, Switzerland) · 2024
    Review
  2. Article
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 at 3 institutions in 1 country.

Sakiko SaitoLiberal Arts and Sciences, Nippon Institute of Technology, Saitama, Japan. saito.sakiko@nit.ac.jp.
Momoka SaitoFaculty of Human Life and Environmental Sciences, Ochanomizu University, Tokyo, Japan.
Megumi KondoFaculty of Human Life and Environmental Sciences, Ochanomizu University, Tokyo, Japan.
Yoshiyuki KobayashiHuman Augmentation Research Center, National Institute of Advanced Industrial Science and Technology, Chiba, Japan.
Ochanomizu University · JPNational Institute of Advanced Industrial Science and Technology · JPNippon Institute of Technology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Beauty is related to our lives in various ways and examining it from an interdisciplinary approach is essential. People are very concerned with their appearance. A widely accepted beauty ideal is that the thinner an individual is, the more beautiful they are. However, the effect of continuous motion on body form aesthetics is unclear. Additionally, an upright pelvic posture in the sagittal plane during walking seems to affect the aesthetic judgments of female appearance. We directly analyzed the influence of body form and walking pattern on aesthetic visual impressions from a third-person perspective with a two-way analysis of variance. Captured motion data for three conditions-upright pelvis, normal pelvis, and posteriorly tilted pelvic posture-were applied to each of three mannequins, representing thin, standard, and obese body forms. When participants watched stimulus videos of the mannequins walking with various postures, a significantly higher score for aesthetic visual impression was noted for an upright pelvic posture than for a posteriorly tilted pelvic posture, irrespective of body form (F

Indexed as

GaitWalkingBiomechanical PhenomenaEstheticsFemaleHumansPelvisPosture

Identifiers

PMID38503793
PMCPMC10951343
OpenAlexW4392948749

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.