METHODS: This study adopted a cross-sectional design and collected data using self-administered questionnaires. The hypotheses were analyzed using the smart partial least squares (Smart-PLS) structural equation modeling method with a dataset containing 503 valid responses. Subsequently, comprehensive data analysis was conducted.
RESULTS: Blogger and video quality factors present in health science popularization videos substantially influenced users' perceived value (p
METHODS: This study applied the cognition-affect-conation model to evaluate the perceived value, arousal, pleasure, trust, satisfaction, and continuous use intention. A mobile device was used to obtain health science information from 236 Chinese residents via an online survey and the data were analyzed using partial least squares (PLS)-structural equation modeling.
RESULTS: The results showed that Chinese residents' perceived value of health science information obtained using the mobile device directly affect the degree of arousal (β = 0.412, P < 0.001), pleasure (β = 0.215, P < 0.01), and trust (β = 0.339, P < 0.001). The degree of arousal (β = 0.121, P < 0.01), pleasure (β = 0.188, P < 0.01), and trust (β = 0.619, P < 0.001) directly affected Chinese residents' satisfaction, which further affected their continuous use intention (β = 0.513, P < 0.001). Similarly, trust directly affected Chinese residents' continuous use intention (β = 0.323, P < 0.001). The degree of arousal directly affected their degree of pleasure (β = 0.304, P < 0.001), and pleasure also imposed a direct effect on trust (β = 0.293, P < 0.001).
DISCUSSION: The result of this study provided an academic and practical reference to improve mobile health science popularization information. Affective changes have imposed an important effect on Chinese residents' continuous use intention. High-quality, diversified and frequent use of health science information can significantly increase residents' continuous use intention, improving their health literacy as a consequence.