Evidence map›Paper›PMID 41625208›Full record

ArticleFrontiers in psychology2026

The influence of risk perception in mountaineering on re-participation intentions: a moderated mediation model.

Huihui Gu, Qi Zhao, Ye Liu, Yutong Yin, Shengchao Bai

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. 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. 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

5 authors.

Huihui GuSchool of Sports, Leisure and Tourism, Beijing Sport University, Beijing, China.
Qi ZhaoChina Winter Sports College, Beijing Sport University, Beijing, China.
Ye LiuChina Winter Sports College, Beijing Sport University, Beijing, China.
Yutong YinCollege of Physical Education and Sports, Beijing Normal University, Beijing, China.
Shengchao BaiSports Department of Nanjing University of Science and Technology, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Mountaineering is a high-risk outdoor activity requiring strong psychological regulation and risk assessment abilities. The study aims to investigate the relationship between risk perception in mountaineering and re-participation intention, specifically focusing on the mediating role of smooth experience and the moderating effect of social support. Methods: Drawing on Risk Perception Theory and Flow Theory, we proposed a moderated mediation model and surveyed 516 recreational mountaineering participants. Descriptive statistics, reliability and validity tests, and moderated mediation analyses were conducted using SPSS 27.0 (PROCESS 4.1, 5,000 bootstrap resamples). Results: (1) Risk perception negatively predicted both re-participation intention and smooth experience. (2) Smooth experience positively predicted re-participation intention and mediated the association between risk perception and re-participation intention. (3) Social support moderated the smooth experience and re-participation intention link, such that the positive effect of smooth experience was stronger at higher levels of social support. Conclusion: Smooth experience constitutes a key psychological pathway through which risk perception relates to re-participation intention, and social support strengthens the behavioral benefits of smooth experience. These findings highlight the joint role of psychological experience and social resources in promoting sustained engagement in mountaineering.

Indexed as

mountaineeringoutdoor recreationre-participation intentionrisk perceptionsmooth experiencesocial support

Identifiers

PMID41625208
PMCPMC12855491

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.