Evidence map›Paper›PMID 33117505›Full record

ArticleEuropean journal of translational myology2020

Analysis of the role of social support - cognitive psychology and emotional process approach.

Mohammad Heydari, Zhou Xiaohu, Mahdiye Saeidi, Kin Keung Lai, Yufan Shang, Zheng Yuxi

Abstract read
In one paragraph

Article in European journal of translational myology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Mohammad HeydariSchool of Economics and Management, Nanjing University of Science and Technology, Nanjing, Jiangsu, China.
Zhou XiaohuSchool of Economics and Management, Nanjing University ofScience and Technology, Nanjing, China.
Mahdiye SaeidiPayame Noor University, Department of TehranWest, Iran.
Kin Keung LaiCollege of Economics, Shenzhen University, Shenzhen, China.
Yufan ShangSchool ofManagement, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Zheng YuxiFaculty of Economics andManagement, East China Normal University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The eyes are extremely important for communication. The muscles around the eyes express emotional states, and the size of the pupil signals whether a person is aroused and alert or bored and fatigued. Pupil size is an overlooked social signal, yet is readily picked up by observers. Observers mirror their pupil sizes in response, which can influence social impressions. Pupil diameter is enhanced in a variety of emotional contexts, including viewing pictures, listening to sounds, and during the threat of shock. This study shows that people associate positive faces with large pupil sizes and negative faces with small pupil sizes. Although workplace social support has been described as a profoundly emotional activity, little is known about the emotional demands faced by employees or how these impacts on their well-being. This study examined relationships between 'emotional labor,' burnout (emotional exhaustion, depersonalization, and personal accomplishment), and job satisfaction in a sample of an employee who works in the banking sector or manufacturing sector. Also examined was whether workplace social support moderated any relationships found between emotional labor and strain. The relationship between job experience and emotional labor was also investigated.

Indexed as

Banach SpaceCognitive PsychologyEmotionPupilWell-Being

Identifiers

PMID33117505
PMCPMC7582399

What OpenQuestion holds

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LicenceCC BY-NC
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.