Evidence map›Paper›PMID 28747885›Full record

ArticleFrontiers in aging neuroscience2017

Effects of Aging Stereotype Threat on Working Self-Concepts: An Event-Related Potentials Approach.

Baoshan Zhang, Yao Lin, Qianyun Gao, Magdalena Zawisza, Qian Kang, Xuhai Chen

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2017. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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.

Baoshan ZhangSchool of Psychology, Shaanxi Normal UniversityXi'an, China.
Yao LinSchool of Psychology, Shaanxi Normal UniversityXi'an, China.
Qianyun GaoSchool of Psychology and Cognitive Science, East China Normal UniversityShanghai, China.
Magdalena ZawiszaDepartment of Psychology, Anglia Ruskin UniversityCambridge, United Kingdom.
Qian KangSchool of Psychology, Shaanxi Normal UniversityXi'an, China.
Xuhai ChenSchool of Psychology, Shaanxi Normal UniversityXi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the influence of stereotype threat (ST) on working self-concepts has been highlighted in recent years, its neural underpinnings are unclear. Notably, the aging ST, which largely influences older adults' cognitive ability, mental and physical health, did not receive much attention. In order to investigate these issues, electroencephalogram (EEG) data were obtained from older adults during a modified Stroop task using neutral words, positive and negative self-concept words in aging ST vs. neutral control conditions. Results showed longer reaction times (RTs) for identifying colors of words under the aging ST compared to the neutral condition. More importantly, the negative self-concept elicited more positive late P300 amplitudes and enhanced theta band activities compared to the positive self-concept or neutral words under the aging ST condition, whereas no difference was found between these self-concepts and neutral words in the control condition. Furthermore, the aging ST induced smaller theta band synchronization and enhanced alpha band synchronization compared to the control condition. Moreover, we also observed valence differences in self-concepts where the negative self-concept words reduced early P150/N170 complex relative to neutral words. These findings suggest that priming ST could activate negative self-concepts as current working self-concept, and that this influence occurred during a late neural time course.

Indexed as

aging stereotype threatERPevent related oscillationsneural underpinningsworking self-concept

Identifiers

PMID28747885
PMCPMC5506089

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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.