Determinants of Virtual Exercise Equipment Use: An Integrated Model Investigation

in Journal of Sport and Exercise Psychology

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Navin KaushalDepartment of Health Sciences, School of Health & Human Sciences, Indiana University, Indianapolis, IN, USA

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Kathy BerlinDepartment of Health Sciences, School of Health & Human Sciences, Indiana University, Indianapolis, IN, USA

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Martin S. HaggerDepartment of Psychological Sciences, University of California, Merced, Merced, CA, USA
Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland

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Background: Given the limited research on behavioral determinants of using virtual exercise machines to engage in exercise during the COVID-19 pandemic, this study applied an integrated behavior change model to identify behavioral determinants using these machines. Method: Adult owners of livestreaming virtual exercise equipment (N = 123) completed measures of social cognition, planning, motivation, virtual exercise machine features, and sociostructural variables at an initial occasion (T1) and 4 weeks later (T2). Hypothesized relations among model constructs were tested using a cross-lagged structural equation model with past behavior and sociostructural variables as covariates. Results: Autonomous motivation predicted intentions and habit indirectly via attitudes and perceived behavioral control at T1; virtual exercise machine features predicted intention and habit indirectly via social cognition constructs at T1; and intention and habit at T1 predicted exercise behavior at T2. Conclusions: This study supports social cognition constructs and virtual features as predictors of exercise using virtual exercise machines.

Kaushal (nkaushal@iu.edu) is corresponding author, https://orcid.org/0000-0002-4511-7902

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