Determinants of Intention to Use Self-Tracking Health Applications: Perspectives of Demographics and Economic Risk

Istiyawati Rahayu; Putri Intan Prastiwi; Nova Mei Indriyani

doi:10.18326/aicieb.v5i-.761

Istiyawati Rahayu Universitas Duta Bangsa Surakarta
Putri Intan Prastiwi Universitas Duta Bangsa Surakarta
Nova Mei Indriyani Universitas Duta Bangsa Surakarta

DOI: https://doi.org/10.18326/aicieb.v5i-.761

Abstract

The development of digital technology has driven the use of self-tracking health applications, enabling individuals to monitor physical activity, sleep patterns, and nutritional intake. This study aims to explore the influence of demographic factors and income level on the intention to use health applications. A quantitative approach was employed with simple random sampling of 200 active health app users. Data analysis was conducted using SPSS, with univariate analysis for respondent characteristics and Fisher’s Exact Test to examine relationships between variables. The results indicate that the majority of users are aged 25–34 years and hold a bachelor’s degree, with the 2–5 million IDR monthly income group being the largest user segment. Fisher’s Exact Test revealed a significant relationship between app usage and income (Exact Sig. = 0.000 < 0.05), indicating that income influences app adoption. This study confirms that human capital and economic factors play a crucial role in the intention to use self-tracking health applications and provides a reference for developing more inclusive and responsive application strategies.

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