An empirical study on the relationship between rider recreational specialization, individual-environment fit, and heart flow experience
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View abstract on PubMed
Summary
This summary is machine-generated.Cyclists with greater recreational specialization and better individual-environment fit experience stronger flow states. Individual-environment fit partially mediates this relationship, enhancing the cycling experience.
Area Of Science
- Leisure Studies
- Environmental Psychology
- Sports Psychology
Background
- Understanding the psychological factors influencing leisure experiences is crucial.
- Recreational specialization and individual-environment fit are key concepts in leisure studies.
- The relationship between these factors and flow experience requires further investigation.
Purpose Of The Study
- To develop and validate a model examining the interplay between recreational specialization, individual-environment fit, and flow experience in cyclists.
- To clarify the mediating role of individual-environment fit in the relationship between recreational specialization and flow experience.
Main Methods
- A quantitative study surveyed 525 cycling enthusiasts using questionnaires and interviews.
- Purposive, cluster, and random sampling methods were employed.
- Statistical analysis included descriptive statistics, model construction, and path analysis using SPSS and Amos software.
Main Results
- The proposed model demonstrated good overall fit, reliability, and validity.
- Recreational specialization significantly influenced individual-environment fit (β=0.38, P<0.001).
- Individual-environment fit significantly impacted flow experience (β=0.39, P<0.001), acting as a partial mediator (β=0.15, P<0.001).
- Recreational specialization directly affected flow experience (β=0.30, P<0.001).
Conclusions
- Higher recreational specialization and greater individual-environment fit correlate with enhanced flow experiences in cyclists.
- Individual-environment fit partially mediates the positive effects of recreational specialization on flow experience.
- The findings provide empirical support for the proposed model, offering insights into optimizing leisure engagement.
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