» Articles » PMID: 38667077

Exploring the Influence of YouTube on Digital Health Literacy and Health Exercise Intentions: The Role of Parasocial Relationships

Overview
Date 2024 Apr 26
PMID 38667077
Authors
Affiliations
Soon will be listed here.
Abstract

The purpose of this study was to analyze the mediating role of digital health literacy and the moderating effect of parasocial relationships on the relationship between the viewing experience of health exercise-related YouTube content and the intention for health exercise behavior. Based on the health action process approach, this study established a foundational theoretical model to analyze how digital health literacy mediates the impact of media viewing experience on health exercise behavior intention. Additionally, this study examined the moderating effect of parasocial relationships with YouTube creators. For empirical analysis, variables were measured using a self-administration method among 409 randomly sampled consumers of YouTube health exercise content. The collected data were analyzed using a structural equation model incorporating mediation parameters, and a multigroup model analysis was conducted to understand differences based on parasocial relationships. The results revealed that increased YouTube viewing experience enhanced cognitive, skill, and evaluative components of digital health literacy, which were significant factors in increasing health exercise behavior intention. Notably, the mediating effect of cognition played a crucial role, and the strengthening effect of parasocial relationships on this relationship was confirmed. These findings can be utilized as practical foundational data for designing digital health communication strategies, particularly in developing motivational mechanisms that encourage consumers to engage voluntarily and consistently in health behaviors based on online health information.

Citing Articles

How perceived risk of recurrence strengthens health management awareness in stroke patients: the chain mediating role of risk fear and health literacy.

Lei R, Zhang M, Gui G, Yang D, He L Front Public Health. 2025; 13:1524492.

PMID: 40051512 PMC: 11882430. DOI: 10.3389/fpubh.2025.1524492.

References
1.
Preacher K, Hayes A . Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav Res Methods. 2008; 40(3):879-91. DOI: 10.3758/brm.40.3.879. View

2.
Cavill N, Bauman A . Changing the way people think about health-enhancing physical activity: do mass media campaigns have a role?. J Sports Sci. 2004; 22(8):771-90. DOI: 10.1080/02640410410001712467. View

3.
Guntzviller L, King A, Jensen J, Davis L . Self-Efficacy, Health Literacy, and Nutrition and Exercise Behaviors in a Low-Income, Hispanic Population. J Immigr Minor Health. 2016; 19(2):489-493. DOI: 10.1007/s10903-016-0384-4. View

4.
Tennant B, Stellefson M, Dodd V, Chaney B, Chaney D, Paige S . eHealth literacy and Web 2.0 health information seeking behaviors among baby boomers and older adults. J Med Internet Res. 2015; 17(3):e70. PMC: 4381816. DOI: 10.2196/jmir.3992. View

5.
Li W, Ding H, Xu G, Yang J . The Impact of Fitness Influencers on a Social Media Platform on Exercise Intention during the COVID-19 Pandemic: The Role of Parasocial Relationships. Int J Environ Res Public Health. 2023; 20(2). PMC: 9858650. DOI: 10.3390/ijerph20021113. View