Evidence map›Paper›PMID 31291323›Full record

ArticlePloS one2019

Functional decline in facial expression generation in older women: A cross-sectional study using three-dimensional morphometry.

Chihiro Tanikawa, Sadaki Takata, Ruriko Takano, Haruna Yamanami, Zere Edlira, Kenji Takada

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. 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
1.8field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

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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 at 4 institutions in 2 countries.

Chihiro TanikawaDepartment of Orthodontics and Dentofacial Orthopedics, Graduate School of Dentistry, Osaka University, Suita, Osaka, Japan.
Sadaki TakataDepartment of Fashion & Beauty Sciences, Osaka Shoin Women's University, Higashi-Osaka, Osaka, Japan.
Ruriko TakanoCorporate Culture Department, Shiseido Co., ltd., Tokyo, Japan.
Haruna YamanamiShiseido Global Innovation Center, Shiseido Co., ltd., Yokohama, Kanagawa, Japan.
Zere EdliraDepartment of Orthodontics and Dentofacial Orthopedics, Graduate School of Dentistry, Osaka University, Suita, Osaka, Japan.ORCID 0000-0002-2768-9632
Kenji TakadaCenter for Advanced Medical Engineering and Informatics, Osaka University, Suita, Osaka, Japan.ORCID 0000-0002-3231-638X
Shiseido Group (Japan) · JPThe University of Osaka · JPNational University of Singapore · SGOsaka Shoin Women's University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elderly people show a decline in the ability to decode facial expressions, but also experience age-related facial structure changes that may render their facial expressions harder to decode. However, to date there is no empirical evidence to support the latter mechanism. The objective of this study was to assess the effects of age on facial morphology at rest and during smiling, in younger (n = 100; age range, 18-32 years) and older (n = 30; age range, 55-65 years) Japanese women. Three-dimensional images of each subject's face at rest and during smiling were obtained and wire mesh fitting was performed on each image to quantify the facial surface morphology. The mean node coordinates in each facial posture were compared between the groups using t-tests. Further, the node coordinates of the fitted mesh were entered into a principal component analysis (PCA) and a multifactor analysis of variance (MANOVA) to examine the direct interactions of aging and facial postures on the 3D facial morphology. The results indicated that there were significant age-related 3D facial changes in facial expression generation and the transition from resting to smiling produced a smaller amount of soft tissue movement in the older group than in the younger group. Further, 185 surface configuration variables were extracted and the variables were used to create four discriminant functions: the age-group discrimination for each facial expression, and the facial expression discrimination for each age group. For facial expression discrimination, the older group showed 80% accuracy with 2 of 66 significant variables, whereas the younger group showed 99% accuracy with 15 of 144 significant variables. These results indicate that in both facial expressions, the facial morphology was distinctly different in the younger and older subjects, and that in the older group, the facial morphology during smiling could not be as easily discriminated from the morphology at rest as in the younger group. These results may help to explain one aspect of the communication dysfunction observed in older people.

Indexed as

Body Weights and MeasuresFacial ExpressionAgedDiscriminant AnalysisFaceFemaleHumansImage Processing, Computer-AssistedImaging, Three-DimensionalLipMiddle AgedSmiling

Identifiers

PMID31291323
PMCPMC6636602
OpenAlexW2961080745

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.