Evidence map›Paper›PMID 33690679›Full record

ArticlePloS one2021

Identifying with all humanity predicts cooperative health behaviors and helpful responding during COVID-19.

Rodolfo C Barragan, Nigini Oliveira, Koosha Khalvati, Rechele Brooks, Katharina Reinecke, Rajesh P N Rao, Andrew N Meltzoff

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 41 citations in OpenAlex.

  1. Continuities and discontinuities in the cultural evolution of global consciousness.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
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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

7 authors at 1 institution in 1 country.

Rodolfo C BarraganDepartment of Psychology, University of Washington, Seattle, WA, United States of America.ORCID 0000-0002-7419-3971
Nigini OliveiraPaul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, United States of America.
Koosha KhalvatiPaul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, United States of America.
Rechele BrooksInstitute for Learning & Brain Sciences, University of Washington, Seattle, WA, United States of America.ORCID 0000-0002-3798-3448
Katharina ReineckePaul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, United States of America.
Rajesh P N RaoPaul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, United States of America.
Andrew N MeltzoffDepartment of Psychology, University of Washington, Seattle, WA, United States of America.ORCID 0000-0001-8683-0547
University of Washington · US

Funding

CRCNS: Innovative Approaches to Science & Engineering Research on Brain FunctionR01MH112166 · NIMH · UNIVERSITY OF WASHINGTON · PI RAO, RAJESH P. N. · 2016 to 2019
$571k
NIH HHS 5R01MH112166NIMH NIH HHS R01 MH112166
6 · The paper itself

Abstract

In the ongoing COVID-19 pandemic, public health experts have produced guidelines to limit the spread of the coronavirus, but individuals do not always comply with experts' recommendations. Here, we tested whether a specific psychological belief-identification with all humanity-predicts cooperation with public health guidelines as well as helpful behavior during the COVID-19 pandemic. We hypothesized that peoples' endorsement of this belief-their relative perception of a connection and moral commitment to other humans-would predict their tendencies to adopt World Health Organization (WHO) guidelines and to help others. To assess this, we conducted a global online study (N = 2537 participants) of four WHO-recommended health behaviors and four pandemic-related moral dilemmas that we constructed to be relevant to helping others at a potential cost to oneself. We used generalized linear mixed models (GLMM) that included 10 predictor variables (demographic, contextual, and psychological) for each of five outcome measures (a WHO cooperative health behavior score, plus responses to each of our four moral, helping dilemmas). Identification with all humanity was the most consistent and consequential predictor of individuals' cooperative health behavior and helpful responding. Analyses showed that the identification with all humanity significantly predicted each of the five outcomes while controlling for the other variables (Prange < 10-22 to < 0.009). The mean effect size of the identification with all humanity predictor on these outcomes was more than twice as large as the effect sizes of other predictors. Identification with all humanity is a psychological construct that, through targeted interventions, may help scientists and policymakers to better understand and promote cooperative health behavior and help-oriented concern for others during the current pandemic as well as in future humanitarian crises.

Indexed as

Cooperative BehaviorAdultAgedAged, 80 and overAltruismCoronavirus InfectionsCOVID-19FemaleHealth BehaviorHumansMaleMiddle AgedPandemicsPublic HealthSARS-CoV-2Surveys and Questionnaires

Identifiers

PMID33690679
PMCPMC7946174
OpenAlexW3134778922

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.