Evidence map›Paper›PMID 41647900›Full record

ArticleJamba (Potchefstroom, South Africa)2026

Altruism and its relationship to resilience during disaster.

Bethany L Van Brown, Brenda K Vollman

Abstract read
In one paragraph

Article in Jamba (Potchefstroom, South Africa), 2026. 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

2 authors.

Bethany L Van BrownDepartment of Sociology, Criminology and Criminal Justice, Sacred Heart University, Fairfield, United States.ORCID https://orcid.org/0000-0001-9688-5656
Brenda K VollmanDepartment of Social Sciences, Borough of Manhattan Community College, New York, United States.ORCID https://orcid.org/0000-0001-9905-1710

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies positively correlate altruism and prosocial behaviour during routine times, yet unexpected environmental triggers (like a disaster) for prosocial and altruistic behaviour are underexplored. People who score highly on the self-reported altruism scale (SRA) are more likely to engage in volunteer activities such as donating blood. What about altruistic and prosocial behaviour during a disaster triggered by natural hazards? What are the characteristics of altruists? Respondents at three different universities were provided with an electronic link via email to complete the survey anonymously, making a total sample size of 182. The data are derived from responses to a longer survey entitled 'COVID-19 and Risk Perception'. The original purpose of that survey was to explore how perception of risk (to COVID-19) may or may not impact people's behaviour and included the SRA. Descriptive assessments of all variables were conducted, as well as crosstabs with analysis of variance comparing several means. Data from our study support our hypothesis that people with higher levels of altruism are more likely to engage in pandemic-related helping behaviour. Data also show that the majority of our sample engage in helping behaviour, though the most altruistic and more intrusive (greatest cost) acts were the least common. Contribution: These are valuable findings for our collective understanding of the nuances of prosocial behaviour. Findings from this study also revealed that people scoring highly on the SRA reported barriers to practising prosocial behaviour. Better understanding these barriers may enable us to eliminate them.

Indexed as

altruismCOVID-19disasterprosocialresilience

Identifiers

PMID41647900
PMCPMC12869446

What OpenQuestion holds

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Registered trials

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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.