Evidence map›Paper›PMID 39480890›Full record

ArticlePloS one2024

Affiliation in times of pandemics: Determinants and consequences.

Guillaume Dezecache, Johann Chevalère, Natalia Martinelli, Sandrine Gil, Clément Belletier, Sylvie Droit-Volet, Pascal Huguet

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Guillaume DezecacheUniversité Clermont Auvergne, LAPSCO, CNRS, Clermont-Ferrand, France.ORCID 0000-0002-9366-6287
Johann ChevalèreUniversité Clermont Auvergne, LAPSCO, CNRS, Clermont-Ferrand, France.ORCID 0000-0002-6380-3615
Natalia MartinelliUniversité Clermont Auvergne, LAPSCO, CNRS, Clermont-Ferrand, France.
Sandrine GilUniversité de Poitiers, CeRCA, CNRS, Poitiers, France.
Clément BelletierUniversité Clermont Auvergne, LAPSCO, CNRS, Clermont-Ferrand, France.
Sylvie Droit-VoletUniversité Clermont Auvergne, LAPSCO, CNRS, Clermont-Ferrand, France.
Pascal HuguetUniversité Clermont Auvergne, LAPSCO, CNRS, Clermont-Ferrand, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Affiliation is a basic human need, especially during difficult times. To what extent did the need to affiliate limit our capacity to abide by health guidelines, in particular regarding social distancing, during the COVID-19 pandemic? We investigated this issue using questionnaire data from two samples of the French population collected during the first French lockdown (April-May 2020). We found that in men, higher social comparison orientation (sensitivity to the needs of others and inclination to help) and higher perceived threat increased the frequency of reported affiliative activities. At the same time, men's reported affiliative activities were associated with a lower reported intention to abide by lockdown and protective measures and lower levels of reported compliance. This pattern was not found in women. The women in our samples, as has been observed elsewhere, were largely compliant, potentially precluding any effects of affiliative needs. Basic though they may seem, affiliative needs and reported affiliative activities may have played a significant role in the implementation of sanitary guidelines during the COVID-19 pandemic.

Indexed as

COVID-19PandemicsSARS-CoV-2AdultAgedFemaleFranceHumansMaleMiddle AgedPhysical DistancingQuarantineSurveys and QuestionnairesYoung Adult

Identifiers

PMID39480890
PMCPMC11527318

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.