Huong, Christopher and Bernstein, Emily E. and Curtiss, Joshua E. and Kolar, David R. and Brown, Denver M. (2025) Network Approaches for Physical Activity and Mental Health Research. SPORT EXERCISE AND PERFORMANCE PSYCHOLOGY, 14 (1). pp. 120-138. ISSN 2157-3905, 2157-3913
Full text not available from this repository. (Request a copy)Abstract
Physical activity has shown positive effects for depressive and anxiety disorders and is considered as potentially remediating for other mental health problems. Nevertheless, the exact mechanisms of action, symptom-specific effects, and individual differences in treatment response to physical activity are not fully understood. The network approach to psychopathology facilitates studying how the symptoms of mental disorders are interconnected in a complex system, rather than arising from a single (latent) underlying cause as implied in conventional analytic methods. Including physical activity in these symptoms networks can advance understanding of the role physical activity plays across various mental health problems, such as symptom-specific effects and influences on symptom-symptom connections (i.e., network structure). We discuss actual and potential applications of adopting network approaches in research seeking to understand the relationships between physical activity and mental health problems using cross-sectional and (intensive) longitudinal data structures, as well as their limitations.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | EMOTION REGULATION; DEPRESSION; EXERCISE; INTERVENTIONS; HETEROGENEITY; CENTRALITY; SYMPTOMS; DISORDER; BEHAVIOR; THERAPY; exercise; exercise psychology; network analysis; mental disorders; depression |
| Subjects: | 100 Philosophy & psychology > 150 Psychology |
| Divisions: | Human Sciences > Institut für Psychologie > Clinical Child and Adolescent Psychology and Psychotherapy – Prof. Dr. David Kolar |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 24 Mar 2026 10:07 |
| Last Modified: | 24 Mar 2026 10:07 |
| URI: | https://pred.uni-regensburg.de/id/eprint/64844 |
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