Cited by 30Behavioral Health and InterventionsPhysical Activity and HealthMotivation and Self-Concept in Sports

How valid is bandura's social cognitive theory to explain physical activity behavior?

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Egele, Viktoria Sophie, Klopp, Eric, Stark, Robin·2025·European Journal of Investigation in Health Psychology and Education

Abstract

(1) Background: Although social cognitive theory (SCT) has been widely tested and applied in numerous interventions aimed at optimizing physical activity behavior, the complete theory has rarely been tested in its entirety. Only selected elements have been tested, and specific samples, some of them pathological, have been studied rather than the general population, for whom a lack of physical activity is a huge problem. The present study addresses these two research gaps and tests the tenability of the theoretical assumptions of SCT to explain physical activity behavior in the general population. (2) Methods: A total of 194 German adults (109 male, 85 female) with a mean age of 26.03 years (SD = 10.33) completed two validated questionnaires concerning their expressions on SCT components (t1) and their physical activity (t2). SCT was modeled using a structural equation model with latent variables. (3) Results: The results showed the very good fit of the structural model, indicating that the theoretically stated relations between the constructs in SCT seem to be corroborated, despite some paths seeming to be more important than others. (4) Conclusions: The use of SCT to explain and predict behavior can be seen as justified, even though it once again appears that some aspects (i.e., self-efficacy) are more crucial than others.

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  • Self-monitoring, real-time feedback, and goal setting align closely with Social Cognitive Theory and self-regulation perspectives, as digital wearable devices support a closed-loop process of self-observation, comparison with goals, and behavioral adjustment.

    “Self-monitoring, real-time feedback, and goal setting align closely with Social Cognitive Theory and self-regulation perspectives, as digital wearable devices support a closed-loop process of self-observation, comparison with goals, and behavioral adjustment (14, 17, 20, 27).”

    From Behavior change pathways by which digital wearable devices support exercise self-management in type 2 diabetes: a scoping review with machine learning–assisted text mining (2026) · cites this paper as [27]

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  1. Warner L. M. Schwarzer R. Sweeny K. Robbins M. L. Cohen L. M. Self-efficacy and health The wiley encyclopedia of health psychology: Volume II, the social bases of health behavior Wiley-Blackwell 2020 605 613 10.1002/9781119057840.ch11 · DOI

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Authors
Egele, V. S., Klopp, E., & Stark, R.
Affiliations
Saarland University (DE)
Corresponding author
Egele, Viktoria Sophie
Venue
European Journal of Investigation in Health Psychology and Education
Publisher
MDPI AG
Published
2025-02-06
Volume
15
Issue
2
Pages
20
ISSN
  • 2174-8144 (ISSN-L)
  • 2254-9625
OpenAlex
W4407196004
Cited by
30
References
38
Citations by year
2026: 20 · 2025: 10
FWCI
24.00
Type
journal article
Language
en
Open access
Locations
  • European Journal of Investigation in Health Psychology and Education (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Dialnet (Universidad de la Rioja) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Social Sciences › Psychology › Social Psychology › Motivation and Self-Concept in Sports
Keywords
social cognitive theory, physical activity behavior, self-efficacy, theory validation, general population, adults, behavior prediction, latent variable models

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