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Determinants of Virtual Exercise Equipment Use: An Integrated Model Investigation
Navin Kaushal1, Kathy Berlin1, Martin S Hagger2,3
1Department of Health Sciences, School of Health & Human Sciences, Indiana University, Indianapolis, IN,USA.
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.
