Evidence map›Paper›PMID 39825606›Full record

ArticleRisk analysis : an official publication of the Society for Risk Analysis2025

Cultural uncertainty avoidance predicts consumers' affective reactions to chemicals.

Christian Martin

Abstract read
In one paragraph

Article in Risk analysis : an official publication of the Society for Risk Analysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Cultural uncertainty avoidance predicts consumers' affective reactions to chemicals.Risk analysis : an official publication of the Society for Risk Analysis · 2025
    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

1 author.

Christian MartinSchool of Business, Maynooth University, Maynooth, Ireland.ORCID 0000-0003-1204-5823

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemicals in general often evoke negative emotions (e.g., worry or fear) in consumers. This can cause consumers to avoid beneficial products and may even lead to suboptimal public policy decisions. It is, therefore, important to better understand how affective reactions to chemicals in general (ARC) form in order to be able to counteract these undesirable effects. The present research contributes to the literature on ARC by studying between-country differences in ARC. While ARC were negative in all countries in our dataset, there were practically relevant between-country differences in how negative they were. We predicted and found that consumers in higher uncertainty avoidance (UA) societies reported more negative ARC than their counterparts in lower UA societies. This effect was due to the rule orientation component rather than the anxiety component of UA. Importantly, while we found evidence for several alternative explanations for between-country variation in ARC (i.e., differences in affluence, individualism, prevalence of chemicals, and trust in consumer protection), the UA effect remained statistically significant when we controlled for other country characteristics. The present research contributes to a better understanding of how contextual factors on the society level influence consumers' ARC and in doing so advances our understanding of ARC. It also has implications for practitioners who wish to educate consumers on the risks and benefits of chemicals.

Indexed as

Consumer BehaviorCultureHazardous SubstancesHumansRisk AssessmentUncertaintyHazardous Substancesaffective reactions to chemicalschemophobiarisk as feelingssocietal contextuncertainty avoidance

Identifiers

PMID39825606
PMCPMC12396941

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.