Evidence map›Paper›PMID 42614240›Full record

ArticleFrontiers in psychology2026

From social support to subjective wellbeing: the sequential roles of enjoyment-based exercise motivation and flow experience among physically active women.

Jian Li, Weiye Kang, Shuai Li, Chao Li, Chunyang Ren, Huiling Liao

Abstract read
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Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jian Li *Department of Physical Education, Qufu Normal University, Qufu, China.
Weiye Kang *Department of Physical Education, Anhui University of Finance & Economics, Bengbu, China.
Shuai LiDepartment of Physical Education, Anhui University of Finance & Economics, Bengbu, China.
Chao LiDepartment of Physical Education, Anhui University of Finance & Economics, Bengbu, China.
Chunyang RenTangshan Preschool Teachers College, Tangshan, China.
Huiling LiaoDepartment of Physical Education, Jeonbuk National University, Jeonju-si, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In health promotion, perceived social support has been widely regarded as an important external resource related to individual wellbeing. Women face multiple pressures in daily life, and for them, regular exercise serves not only as physical activity but also as a key factor in improving mental health and happiness. How perceived social support is associated with wellbeing through specific psychological mechanisms remains under-explored. This study examines the mediating roles of Enjoyment-Based Motivation and Flow Experience in the relationship between perceived social support and subjective wellbeing among women who engage in regular exercise. Methods: A cross-sectional survey was conducted with 361 women who engage in regular exercise. Data analysis utilized SPSS and AMOS structural equation modeling. Participants completed self-report measures assessing perceived social support, enjoyment-based exercise motivation, flow experience, and subjective wellbeing. Results: Analysis revealed that perceived social support was positively associated with enjoyment-based motivation, flow experience, and subjective wellbeing. Enjoyment-based exercise motivation was positively associated with flow experience and subjective wellbeing, while flow experience was also positively associated with subjective wellbeing. Beyond direct paths, mediation analysis identified three mediating pathways: (a) an independent mediation of Enjoyment-Based Motivation, (b) an independent mediation of Flow Experience, and (c) a chained mediation involving both. Discussion: By incorporating Enjoyment-Based Motivation and Flow Experience as mediating variables, this study provides a more detailed examination of the potential psychological pathways linking perceived social support and subjective wellbeing. These findings may have practical implications for supporting life satisfaction and wellbeing among women who engage in regular exercise.

Indexed as

enjoyment-based exercise motivationflow experiencemediating roleperceived social supportsubjective wellbeing

Identifiers

PMID42614240
PMCPMC13481275

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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.