Evidence map›Paper›PMID 39987241›Full record

ArticleJournal of behavioral medicine2025

Giving support to close others increases affective risk perceptions: longitudinal and experimental studies.

Molly Gonenne, Rebecca A Ferrer, Tristen K Inagaki

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of behavioral medicine, 2025. 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

3 authors.

Molly GonenneDepartment of Psychology, University of Southern California, Los Angeles, CA, USA.ORCID 0009-0003-5592-311X
Rebecca A FerrerBasic Biobehavioral and Psychological Sciences Branch, National Cancer Institute, Rockville, MD, USA.ORCID 0000-0003-1069-9989
Tristen K InagakiDepartment of Psychology, San Diego State University, San Diego, CA, USA. tinagaki@sdsu.edu.ORCID 0000-0002-8825-2637

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Risk perceptions are instrumental in predicting how people will process and react to threats. While social contexts have long been associated with changes in risk perception, whether and which social contexts alter risk perceptions is not well understood. This paper explores one such social context--support-giving--which has previous links to affect, cognition, and behavior, including how threats are processed. Using a tripartite model in which risk perceptions are split between deliberative (logical), affective (emotional), and experiential (lived) assessments, we used two studies, a longitudinal-correlational (Study 1) and experimental (Study 2), to explore whether support-giving relates to and impacts risk perceptions. Findings from Study 1 revealed that support-giving toward a close other at Time 1 was associated with an increase in affective risk perceptions at Time 2. Study 2 clarified the direction of this association, finding that there was an increase in affective and experiential risk perceptions for those randomly assigned to a support-giving condition, as compared to the control. Deliberative risk perceptions did not differ between conditions. Given that affective risk perceptions strongly predict behavior, support-giving may be a promising new avenue by which to inspire preventative behavior.

Indexed as

AffectInterpersonal RelationsSocial PerceptionSocial SupportAdolescentAdultFemaleHumansLongitudinal StudiesMaleRiskYoung AdultAffectHealth behaviorRisk perceptionsSocial contextsSupport-giving

Identifiers

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.