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

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

No m7ej6_v1, OSF Preprints from Center for Open Science

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.

Date: 2025-02-27
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:m7ej6_v1

DOI: 10.31219/osf.io/m7ej6_v1

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