Mindfulness contributing to physical activity engagement: evidence from a follow-up study

Mindfulness in PA, exercise self-efficacy, and exercise commitment may serve as important factors in understanding the link between trait mindfulness and self-reported PA. This finding provides a new direction for developing novel and feasible mindfulness intervention program to promote PA behaviours.

Authors

Institutions

Publication Details

Journal
Psychology and Health
Published
2025-10-09
DOI
https://doi.org/10.1080/08870446.2025.2571599
Citations
1
Primary Topic
Mindfulness and Compassion Interventions
Type
article
Field-Weighted Citation Impact
2.31
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mindfulness contributing to physical activity engagement: evidence from a follow-up study

Zhi‐Xiong Mao, Youteng Gan, Zijian Zhao, Zhiqi Chen
1 citations
Psychology and Health
Mindfulness and Compassion Interventions
2.31
article

Mindfulness contributing to physical activity engagement: evidence from a follow-up study

Zhi‐Xiong Mao, Youteng Gan, Zijian Zhao, Zhiqi Chen
article en
1 citations

Abstract

Mindfulness in PA, exercise self-efficacy, and exercise commitment may serve as important factors in understanding the link between trait mindfulness and self-reported PA. This finding provides a new direction for developing novel and feasible mindfulness intervention program to promote PA behaviours.

Psychology and Health
Guangdong University of Education (CN), Beijing Sport University (CN)
Openalex Percentile: Top 10%
Mindfulness and Compassion Interventions
2.31
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.