Evidence map›Paper›PMID 36988789›Full record

ArticleMedical & biological engineering & computing2023

Cueing effect of attention among nurses with different anxiety levels: an EEG study.

Yajing Si, Peiyang Li, Xinge Wang, Guiying Yao, Congcong Liu, Yize Liu, Jiajia Zhang, Hongxing Zhang, Yanyan Luo

Abstract read
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In one paragraph

Article in Medical & biological engineering & computing, 2023. 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
0.7field-weighted citation impact, top 33% 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. Article
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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

9 authors at 4 institutions in 1 country.

Yajing SiDepartment of Psychology, Xinxiang Medical University, Xinxiang, Henan, China.
Peiyang LiSchool of Bioinformatics, Chongqing University of Posts and Telecommunications, Chongqing, China.
Xinge WangDepartment of Nursing, Guangdong Provincial People's Hospital, Guangzhou, Guangdong, China.
Guiying YaoSchool of Nursing, Xinxiang Medical University, Xinxiang, Henan, China.
Congcong LiuDepartment of Psychology, Xinxiang Medical University, Xinxiang, Henan, China.
Yize LiuSchool of Bioinformatics, Chongqing University of Posts and Telecommunications, Chongqing, China.
Jiajia ZhangDepartment of Psychology, Xinxiang Medical University, Xinxiang, Henan, China.
Hongxing ZhangDepartment of Psychology, Xinxiang Medical University, Xinxiang, Henan, China. zhx166666@163.com.
Yanyan LuoSchool of Nursing, Xinxiang Medical University, Xinxiang, Henan, China. 13937315599@163.com.
Xinxiang Medical University · CNChongqing University of Posts and Telecommunications · CNGuangdong Provincial People's Hospital · CNXinxiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The attention to cueing among nurses with anxiety affects their nursing quality seriously. Nevertheless, the neural mechanism of attention under anxiety among nurses has not been revealed. In this study, we utilized the event-related potential (ERP) and functional brain networks to investigate the neural mechanism of the cueing attention differences between anxiety and non-anxiety nurse groups (AG-20 nurses; NAG-20 nurses) in the spatial cueing task. The results revealed that in the invalid cues (144 trials), longer reaction times, larger P2 amplitudes, and more linkages between the right frontal and parietal areas were found in AG compared to NAG. In the valid cues (288 trials), there were no significant behavioral and neural differences between the two groups. The AG in the invalid cues showed slower response times, larger P2 and N5 amplitudes, and denser linkages originating from the occipital cortex than those in the valid cues. The convolutional neural network was trained for discriminating between the anxiety nurses and the normal ones, with the average accuracy being 0.76. The findings provided a potential physiological biomarker to predict the anxiety group who need to give more psychological attention. Nurse leaders maybe get more information for offering solutions to retain mental health among nurses.

Indexed as

CuesNursesBrainElectroencephalographyEvoked PotentialsHumansAnxietyClassificationElectroencephalogram (EEG)NursesSpatial cueing attention

Identifiers

PMID36988789
OpenAlexW4361305316

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.