Evidence map›Paper›PMID 34704157›Full record

ArticlePsychological research2022

It is not always positive: emotional bias in young and older adults.

Giada Viviani, Francesca De Luca, Gabriella Antonucci, Alla Yankouskaya, Anna Pecchinenda

Abstract read
PubMed Publisher
In one paragraph

Article in Psychological research, 2022. 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
1.6field-weighted citation impact, top 13% 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, 5 citations in OpenAlex.

  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

5 authors at 2 institutions in 2 countries.

Giada VivianiDepartment of Psychology, Sapienza University of Rome, Rome, Italy.
Francesca De LucaDepartment of Psychology, Sapienza University of Rome, Rome, Italy.
Gabriella Antonucci
Alla YankouskayaDepartment of Psychology, Bournemouth University, Poole, UK.
Anna PecchinendaDepartment of Psychology, Sapienza University of Rome, Rome, Italy. anna.pecchinenda@uniroma1.it.
Sapienza University of Rome · ITBournemouth University · GB

Funding

Facoltà di Medicina e Psicologia, Sapienza Università di Roma (IT) Thesis StudentshipMinistero dell'Istruzione, dell'Università e della Ricerca PhD studentship in Behavioural NeuroscienceMinistero dell'Istruzione, dell'Università e della Ricerca RG11916B88615C08
6 · The paper itself

Abstract

Healthy ageing has been associated with a bias toward positive information and greater psychological well-being. However, to what extent this positivity bias also applies to prioritizing positive information under emotional competition is unclear. Old and young adults performed a word-face interference task, in which they responded to the valence of positive and negative target-words while ignoring happy or angry distractor-faces that could be affectively congruent or incongruent. A control condition with scrambled neutral distractor-faces was also used. Findings showed small facilitation effects with faster responses when targets and distractors were affectively congruent and large interference effects with slower responses when targets and distractors were affectively incongruent compared to the control condition. Importantly, whereas for younger adults there was a similar pattern of interference from happy and angry distractor-faces, for older adults there was greater interference from angry distractor-faces. The present findings are discussed in the context of emotional bias literature.

Indexed as

EmotionsFacial ExpressionAgedAngerBiasHappinessHealthy AgingHumansYoung Adult

Identifiers

PMID34704157
OpenAlexW3210641842

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.