Evidence map›Paper›PMID 35753682›Full record

ArticlePsychiatry investigation2022

Correlations Between Psychological Status and Perception of Facial Expression.

Sujin Bae, Eunhee Rhee, Beom Seuk Hwang, Young Don Son, Ji Hyun Bae, Doug Hyun Han

Abstract read
In one paragraph

Article in Psychiatry investigation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Sujin BaeDepartment of Psychiatry, Chung-Ang University Hospital, Seoul, Republic of Korea.
Eunhee RheeDepartment of Applied Statistics, Chung-Ang University, Seoul, Republic of Korea.
Beom Seuk HwangDepartment of Applied Statistics, Chung-Ang University, Seoul, Republic of Korea.
Young Don SonDepartment of Health Sciences & Technology, Gachon University, Incheon, Republic of Korea.
Ji Hyun BaeDepartment of Biomedical Engineering, Gachon University, Incheon, Republic of Korea.
Doug Hyun HanDepartment of Psychiatry, Chung-Ang University Hospital, Seoul, Republic of Korea.

Funding

Ministry of Science and ICTNational Research Foundation of Korea 2020R1A4A1019623
6 · The paper itself

Abstract

objectiveFacial affect recognition is associated with neuropsychological status and psychiatric diseases. We hypothesized that facial affect recognition is associated with psychological status and perception of other affects.

methodsA total of 80 images depicting facial affect, including 20 Neutral, 20 Angry, 20 Fear, and 20 Sad, were screened for use in our research. A total of 100 healthy individuals were asked to rate these images using a 10-point Likert scale and complete psychological scales assessing the emotional statuses and cognitive functions.

resultsThe participants' emotional state of aggression, attention, and impulsivity may have been associated with their interpretation of the Angry facial expressions. The participants often rated the Angry facial expressions as Fear. The participants rated Fear images as Angry or Sad. In response to a Sad facial expression, the participants reported psychological statuses of attention and impulsivity which were associated with the facial expression rating. The participants rated the Sad expression as Angry or Fear.

conclusionThe psychological statuses of the participants were significantly correlated with their interpretation of facial affects. In particular, a psychological state of attention was often correlated with incorrect affect ratings. Attention and impulsivity could affect the rating of the sad facial expressions.

Indexed as

AngryFacial expressionFearNeutralPsychological status

Identifiers

PMID35753682
PMCPMC9233958

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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.