Analysis of users’ needs for developing mobile health based prevention and intervention programs for the metabolic syndrome in college students

Kang, Min-Ah; Lee, Sook-Young

doi:10.14257/ajmahs.2017.09.73

Cited by 3 publications

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“…Furthermore, 13.9% of the sample had used smart health bands. The most requested functions included a record of calorie consumption (88.9%), followed by a pedometer function, analysis of sleeping patterns, and a waterproof device [ 40 ].…”

Section: Methodsmentioning

confidence: 99%

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

Lee

Kang

2020

J Med Internet Res

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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.

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Section: Methodsmentioning

confidence: 99%

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

Lee

Kang

2020

J Med Internet Res

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Comparative Analysis Of Energy Expenditure Assessments From The Graded Exercise Test Vs. Galaxy Watch And Apple Watch In Korean College Students During A 30-minute Workout: A Pilot Study

Oh,

Jeon,

Kim

et al. 2024

Asian J Kinesiol

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OBJECTIVES In the modern era, there is heightened interest in understanding energy expenditure during exercise. Consequently, wearable devices such as the Galaxy Watch and Apple Watch have emerged as pivotal tools for daily health monitoring, given their convenience and increasing popularity. This study aimed to compare the calculated energy expenditure derived from the graded exercise test with readings from Galaxy and Apple Watches during a 30-min exercise session among Korean university students. Through this, we anticipate offering both motivation and clear insights into energy expenditure, thereby potentially aiding in weight management strategies for contemporary individuals.METHODS This study involved 27 college students from Korea National University of Transportation in Chungcheongbuk-do, Korea. We utilized COSMED's exercise load respiratory gas analysis system (Quark- CPET, COSMED, Rome, Italy), along with the Galaxy Watch (Galaxy Watch 5, Samsung, Seoul, Korea) and the Apple Watch (Apple watch series 5, Apple, Cupertino, USA) for measurements. Energy expenditure was monitored in real-time every 5 min throughout the 30-min exercise session. For statistical evaluations, we employed a one-way analysis of variance. Subsequent post-tests utilized the Tukey post-hoc test and Pearson correlation, with a significance level set at p<0.05.RESULTS Initially, no statistically significant difference emerged between energy expenditure readings from the graded exercise test and those from the Galaxy Watch across all time intervals: 5, 10, 15, 20, 25, and 30 min (p>0.05). Conversely, a notable difference was observed when comparing energy expenditure data from the graded exercise test to that of the Apple Watch for time intervals of 10, 15, 20, 25, and 30 min (p>0.05), although the 5-min interval did not exhibit a significant difference (p>0.05). Furthermore, a robust positive correlation was evident between the energy expenditure values derived from the graded exercise test and those from both the Galaxy Watch (r=0.952, p<0.001) and the Apple Watch (r=0.917, p<0.001).CONCLUSIONS Both devices demonstrated high reliability in calculating energy expenditure. Notably, the Galaxy Watch exhibited a more precise calculation compared to the Apple Watch, with a relative reliability margin of 3.5% higher. For individuals, especially those struggling with obesity, precise wearable devices that accurately reflect energy consumption can significantly boost motivation for exercise. Consequently, this study lays a foundation for future advancements in energy expenditure measurement tools, emphasizing enhanced convenience, reliability, and mobility.

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

Lee¹,

Kang²,

Lee³

2019

Preprint

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BACKGROUND Recently, the survey shows that the health habits of young adults has been crippled. In addition, the modification of health habits has been considered nearly impossible in the older adult group. Therefore, health management strategies should be built up to prevent chronic diseases. In order to prevent one of chronic diseases, metabolic syndrome (MetS), prevention and intervention programs should be developed for health habit change. OBJECTIVE This study investigated the effects of the e-Motivate4Change (EMC) program using mobile applications and wearable devices, which were developed for the prevention and management of MetS in young adult university students. METHODS This experimental study utilized a non-equality control group. Fifty-seven female second graders and two male students from two universities in D metropolitan city in Korea participated (n = 30, experimental group; n = 29, control group). The experimental group received a 12-week EMC program intervention, and the control group received MetS education and booklets without the EMC 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 body mass index, there were significant effects for group (F = 1.01, p < .001) and 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 EMC program effectively improved participants’ health-related lifestyle and self-efficacy and significantly reduced their obesity and cholesterol levels. The program can be used to identify and prevent MetS among young adults. CLINICALTRIAL Institutional Review Board of Keimyung University (no. 40525-201704-HR-020-02).

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Analysis of users’ needs for developing mobile health based prevention and intervention programs for the metabolic syndrome in college students

Cited by 3 publications

References 0 publications

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

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

Comparative Analysis Of Energy Expenditure Assessments From The Graded Exercise Test Vs. Galaxy Watch And Apple Watch In Korean College Students During A 30-minute Workout: A Pilot Study

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

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