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A primer and empirical demonstration of network analysis for physical activity attributes

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  • Alves, Douglas Silva
  • Watanabe, William Tsutomu
  • Goroso, Daniel Gustavo
  • de Araujo, Fernanda Ribeiro
  • Pires, Flávio Oliveira
  • Asano, Ricardo Yukio

Abstract

Purpose: A gold-standard measure for physical activity does not exist, partly because it is a latent system emerging from interactions between its attributes. This study aimed to validate a measurement model for physical activity using a systems approach, specifically a network model, assess its gender invariance, and examine its relationship with a psychological network. Methods: Forty healthy participants (18 males, 22 females; mean age = 27.9 years, 95% CI = 25.8–29.9) were recruited online. Physical activity was measured via self-report and smartphone accelerometry over one week. Three models were explored: (1) relationships between physical activity attributes in a holistic framework, (2) gender invariance, and (3) interactions with a psychological network (self-efficacy). Results: Centrality analyses identified key attributes, such as self-reported moderate activity, time spent sitting, and self-efficacy when access to facilities was limited. Conclusions: Findings support a systems-based measurement approach, highlighting the complex, dynamic nature of physical activity.

Suggested Citation

  • Alves, Douglas Silva & Watanabe, William Tsutomu & Goroso, Daniel Gustavo & de Araujo, Fernanda Ribeiro & Pires, Flávio Oliveira & Asano, Ricardo Yukio, 2025. "A primer and empirical demonstration of network analysis for physical activity attributes," OSF Preprints m7ej6_v2, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:m7ej6_v2
    DOI: 10.31219/osf.io/m7ej6_v2
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