Effects of the e-Motivate4Change Program on Metabolic Syndrome in Young Adults Using Health Apps and Wearable Devices: Quasi-Experimental Study

Ji-Soo Lee, Min-Ah Kang, Soo-Kyoung Lee, Ji-Soo Lee, Min-Ah Kang, Soo-Kyoung Lee

Abstract

Background: The health behaviors of young adults lag behind those of other age groups, and active health management is needed to improve health behaviors and prevent chronic diseases. In addition, developing good lifestyle habits earlier in life could reduce the risk of metabolic syndrome (MetS) later on.

Objective: The aim of this study is to investigate the effects of the e-Motivate4Change program, for which health apps and wearable devices were selected based on user needs. The program was developed for the prevention and management of MetS in young adults.

Methods: This experimental study used a nonequivalent control group. In total, 59 students from 2 universities in Daegu, Korea participated in the study (experimental group n=30; control group n=29). Data were collected over 4 months, from June 1 to September 30, 2018. The experimental group received a 12-week e-Motivate4Change program intervention, and the control group received MetS education and booklets without the e-Motivate4Change program intervention.

Results: After the program, the experimental group had significantly higher scores for health-related lifestyle (t=3.86; P<.001) and self-efficacy (t=6.00; P<.001) than did the control group. Concerning BMI, there were significant effects by group (F=1.01; P<.001) and for the group × time interaction (F=4.71; P=.034). Concerning cholesterol, there were significant main effects for group (F=4.32; P=.042) and time (F=9.73; P<.001).

Conclusions: The e-Motivate4Change program effectively improved participants' health-related lifestyle scores and self-efficacy, and significantly reduced their BMI and cholesterol levels. The program can be used to identify and prevent MetS among young adults.

Keywords: metabolic syndrome; mobile apps; preventive care; telemedicine; wearable electronic devices.

Conflict of interest statement

Conflicts of Interest: None declared.

©Ji-Soo Lee, Min-Ah Kang, Soo-Kyoung Lee. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 30.07.2020.

Figures

Figure 1
Figure 1
Flowchart of participants through each stage of the study.
Figure 2
Figure 2
Physical and physiological assessment tools.
Figure 3
Figure 3
E-Motivate4Change system architecture.
Figure 4
Figure 4
Entity-relation diagram of e-Motivate4Change system.
Figure 5
Figure 5
Screenshots of the e-Motivate4Change program.
Figure 6
Figure 6
Recommended algorithm of e-Motivate4Change system.

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