Evidence map›Paper›PMID 40438338›Full record

ArticleFrontiers in sports and active living2025

Promoting physical activity: the contribution of regulatory fit.

Chao Sun, Yanghui Gao, Jiao Liu, Guoli Zhang, Junhua Dang

Abstract read
In one paragraph

Article in Frontiers in sports and active living, 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. 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.

Chao SunSchool of Psychology, Beijing Sport University, Beijing, China.
Yanghui GaoSchool of Psychology, Beijing Sport University, Beijing, China.
Jiao LiuSchool of Psychology, Beijing Sport University, Beijing, China.
Guoli ZhangSchool of Psychology, Beijing Sport University, Beijing, China.
Junhua DangSchool of Humanities and Social Sciences, Xi'an Jiaotong University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Existing research primarily focuses on external strategies for promoting physical activity, while the influence of individual characteristics on engagement in physical activities has been largely overlooked. This study aims to explore the impact of combining individual regulatory focus and exercise information frame on cognition, emotion, intention, and behavior based on the regulatory fit theory. Methods: In Study 1, participants were randomly assigned to read one of two types of exercise information with different frames but the same content after measuring their chronic regulatory focus. Subsequently, they completed a measure of exercise-related cognition, emotion, and intention. Study 2 replicated this by manipulating situational regulatory focus and extended this by tracking participants' actual engagement in physical activity for one week. Results: Both studies revealed significant interactions between regulatory focus and the information frame on information value, emotional intensity, and behavioral intention, indicating the regulatory fit effect. More importantly, Study 2 found a significant interaction on vigorous physical activity during one week after the manipulation of situational focus. Conclusion: When chronic/situational regulatory focus fit with the exercise information frame, individuals evaluated the exercise information more positively, showed more positive emotions, were more willing to take part in exercise, and engaged in more actual physical activity.

Indexed as

exerciseinformation framephysical activityregulatory fitregulatory focus

Identifiers

PMID40438338
PMCPMC12116541

What OpenQuestion holds

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LicenceCC BY
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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.