Modeling older adults' continuance intention toward mobile health apps: a dual-path SEM-ANN approach.

ABSTRACT:

Background

With the rapid growth of the aging population, older adults in China face significant challenges in health management, and their continuance intention to use mobile health applications remains lower than that of younger users.

Methods

Based on survey data from older adults, this study employed a hybrid approach combining structural equation modeling (SEM) and artificial neural networks (ANN) to examine both facilitating and hindering factors.

Results

The results reveal that satisfaction (β = 0.42, p < 0.001) and perceived usefulness (β = 0.31, p < 0.01) exert significant positive effects on continuance intention, while resistance (β = -0.28, p < 0.05) has a significant adverse effect. The integrated model explains 56.6% of the variance in continuance intent

SUBMITTER: Wang X 

PROVIDER: S-EPMC12673725 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature