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Determinants of Virtual Exercise Equipment Use: An Integrated Model Investigation

Year: 2021

Type: article

Abstract: 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.

Source: Journal of Sport and Exercise Psychology

DOI: 10.1123/jsep.2021-0143

Authors: Navin Kaushal, Kathy Berlin, Martin S. Hagger

Institutions: Indiana University Indianapolis, University of California, Merced, University of Jyväskylä

Language: English

Topic: Behavioral Health and Interventions

Subfield: Applied Psychology

Field: Psychology

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W4200619353

FWCI: 1.113

Cites: 64

Cited by: 6

Related to: 10