Purpose: This study investigated the effects of e-health literacy, technostress, and subjective health status on health promotion behaviors of older adults. Methods: Data were collected from October to November, 2023, through structured questionnaires at seven senior welfare centers in J city. A total of 156 valid responses were analyzed. Descriptive statistics, independent t-tests, one-way ANOVA with Scheffé post hoc tests, Pearson’s correlation coefficients, and multiple regression analyses were conducted using SPSS version 29.0. Results: E-health literacy, technostress, and subjective health status were significantly associated with health promotion behaviors. Collectively, these factors explained 29% of the variance in older adults’ health promotion behaviors (F=22.54, p<.001). Conclusion: Intervention strategies to effectively promote health behaviors of older adults, should focus on enhancing e-health literacy, reducing technostress, and improving perceived health status. Scenarios based on the findings of this study should be developed and implemented in future nursing simulation education to strengthen learners’ competence in geriatric care.

This study explores the impact of technostress on the intention to use telemedicine applications (apps) in the post-COVID19 era, a period marked by the rapid popularization of such apps to mitigate COVID19 infection risks. Utilizing the Technology Acceptance Model (TAM), the study identifies variables and proposes a research model. A questionnaire survey involving 364 adults is analyzed through Partial Least Squares-Structural Equation Modeling. Results indicate positive significance for variables linked to the TAM (perceived usefulness, perceived ease of use, attitude, and intention to use). Notably, techno-complexity negatively affects perceived ease of use, while techno-unreliability negatively impacts perceived usefulness and ease of use. Surprisingly, techno-uncertainty has a positive effect on both perceived usefulness and ease of use. Techno-overload, although negatively impacting perceived usefulness and ease of use, does not reach statistical significance. The study underscores the need to consider both positive and negative aspects, including technostress, when evaluating telemedicine app usage. Additionally, recognizing the varying impact of technostress based on users' ICT(Information and Communication Technology) confidence levels is crucial. Overall, these findings contribute academically to telemedicine app adoption literature and hold industrial significance by providing a user perspective on these apps.