Evidence map›Paper›PMID 40697745›Full record

ArticleFrontiers in psychology2025

Personality traits can predict which exercise intensities we enjoy most, and the magnitude of stress reduction experienced following a training program.

Flaminia Ronca, Benjamin Tari, Cian Xu, Paul W Burgess

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

4 authors.

Flaminia RoncaInstitute of Sport, Exercise and Health, University College London, London, United Kingdom.
Benjamin TariInstitute of Sport, Exercise and Health, University College London, London, United Kingdom.
Cian XuInstitute of Cognitive Neuroscience, University College London, London, United Kingdom.
Paul W BurgessInstitute of Cognitive Neuroscience, University College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The aim of this study was to determine if personality can predict physical fitness, enjoyment of exercise by intensity, and engagement in an exercise program in the general population. Methods: Participants were assigned to either an 8-week home-based cycling and strength training intervention or a resting control group. Results: Personality traits were strong predictors of baseline fitness levels, and of enjoyment of different exercise intensities. For example, conscientiousness predicted greater general fitness and more weekly hours of physical activity, whereas extraversion and neuroticism predicted higher V̇O Discussion: These findings provide insight into how personality can determine engagement with physical activity, and the degree to which one enjoys different forms of exercise, thus aiding the development of tailored exercise programs.

Indexed as

Big Fiveexercise tailoringfitnessneuroticismphysical activity

Identifiers

PMID40697745
PMCPMC12279706

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.