Evidence map›Paper›PMID 36684462›Full record

ArticleCurrent psychology (New Brunswick, N.J.)2023

Emotion recognition in individuals wearing facemasks: a preliminary analysis of age-related differences.

Francesca Cuzzocrea, Maria Cristina Gugliandolo, Marco Cannavò, Francesca Liga

Open access · bronzeAbstract readCase Reports
In one paragraph

Article in Current psychology (New Brunswick, N.J.), 2023. 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
0.5field-weighted citation impact, top 37% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  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

4 authors at 2 institutions in 1 country.

Francesca CuzzocreaDipartimento di Scienze della Salute, Università degli Studi "Magna Graecia" di Catanzaro, Catanzaro, Italy.
Maria Cristina GugliandoloDipartimento di Medicina Clinica e Sperimentale, Università degli Studi di Messina, Messina, Italy.
Marco CannavòDipartimento di Scienze della Salute, Università degli Studi "Magna Graecia" di Catanzaro, Catanzaro, Italy.ORCID 0000-0002-6492-8399
Francesca LigaDipartimento di Medicina Clinica e Sperimentale, Università degli Studi di Messina, Messina, Italy.
Magna Graecia University · ITUniversity of Messina · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 is severely affecting individuals' lives worldwide. Previous research warned that facial occlusion may impair facial emotion recognition, whilst other findings suggested that age-related differences may be relevant in emotion recognition in others' faces. However, studies observing individuals' ability to interpret others' facial mimicry are heterogenous, thus precluding the generalizability of the findings. This preliminary study examined age-related differences and the influence of different covering types (with and without face masks) in determining different levels of facial emotion recognition. 131 participants were split into 3 age-groups (10-14; 15-17; 20-25) and were asked to complete an emotion recognition task. Participants were better able to recognize facial emotions without any occlusion, and happiness was the most recognizable emotion. Moreover, adolescent group performed better in recognizing anger and fear in stimuli depicting masked and unmasked faces. Current results suggest the importance of monitoring emotion recognition abilities in developing individuals during the COVID-19 pandemic.

Indexed as

Age-groupsCovid-19Emotion recognitionFacial masks

Identifiers

PMID36684462
PMCPMC9843093
OpenAlexW4317036240

What OpenQuestion holds

Textmetadata
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.