모바일 헬스케어 서비스에 참여 중인 대사증후군 위험군의 건강증진행위에 영향을 미치는 요인

Abstract

The growth in mobile technology, including the utilization of wearable devices, is a promising means of mitigating the risk of metabolic syndrome through community-based public mobile health (mHealth) interventions. Our objective is to assess the important factors affecting these health-promoting behaviors and confirm the potential impact of an mHealth application (app) and wearable device on optimal health behaviors. This survey-based cross-sectional study included individuals at risk of metabolic syndrome who received mHealth interventions for more than 3 months. Participants were recruited through a public health center, and information on demographic characteristics, health-related behaviors, access to and the frequency of use of the mHealth app and wearable wristband, as well as health beliefs and eHealth literacy were collected via a self-administered questionnaire. Univariate and hierarchical multivariate regression analyses were conducted to evaluate the aforementioned factors. Among the eligible participants, data from 247 individuals who completed the survey were analyzed. All respondents owned or had access to a smartphone. After controlling for covariates, age (β= .14, p= .01), health beliefs (β= .23, p< .01), eHealth literacy (β= .16, p= .01), having been warned of metabolic syndrome by physician (β= .11, p= .04), having a family member with a chronic disease (β= .13, p= .01), recommendations by family, friends, and medical staff (β= .13, = .02), and mHealth app log-in time (β= .25, p< .01) were the factors that had a significant effect on health-promoting behaviors. The model was statistically significant, and the explanatory power of health-promoting behaviors was 38% (F=12.31, p< .01). These findings demonstrated the intervention strategy of mobile healthcare program to generate actual health-promoting behaviors in risk groups of metabolic syndrome.