Teknoloji Kabul Modeli Çerçevesinde 50 Yaş ve Üzeri Bireylerin Mobil Sağlık Teknolojilerini Kullanım Davranışlarının Sağlıklı Yaşam Farkındalığı Üzerindeki Etkisi,

Abstract

The purpose of this study is to examine the relationship between older adults’ acceptance and use behaviors of mobile health technologies and their healthy lifestyle awareness. The study was conducted within the framework of the relational survey model, one of the quantitative research methods. The population of the study consisted of individuals aged 50 and above living in Hatay, Türkiye, while the sample comprised 400 participants reached through snowball sampling. Data were collected using the Personal and Demographic Information Form, the Healthy Lifestyle Awareness Scale, and the Mobile Health Technology Acceptance and Use Scale based on the UTAUT2 model. Descriptive statistics, reliability analyses, normality tests, Mann–Whitney U tests, Kruskal–Wallis tests, and Spearman correlation analyses were employed in the data analysis process. The findings revealed that participants generally had high levels of healthy lifestyle awareness, whereas their use of mobile health technologies for health-related purposes remained limited. Although most participants owned mobile devices, the regular use of applications related to exercise monitoring, nutrition management, medication reminders, and sleep tracking was found to be relatively low. A positive and statistically significant, yet weak, relationship was identified between healthy lifestyle awareness and the acceptance and use of mobile health technologies. Furthermore, women demonstrated higher levels of healthy lifestyle awareness than men, technology acceptance decreased with advancing age, and both healthy lifestyle awareness and technology acceptance increased as educational level rose. Overall, the study indicates that the integration of older adults into digital health systems cannot be explained solely by technological access. Instead, digital health literacy, educational background, social support, and age-friendly design characteristics play significant roles in the acceptance and use of mobile health technologies among older adults.