• Nutrition Research and Practice
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• v.13 no.6
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• pp.509-520
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• 2019

BACKGROUND/OBJECTIVES: This study evaluated whether a mobile health (mHealth) application can instigate healthy behavioral changes and improvements in metabolic disorders in individuals with metabolic abnormalities. SUBJECTS/METHODS: Participants were divided into an mHealth intervention group (IG), which used a mobile app for 24 weeks, and a conventional IG. All mobile apps featured activity monitors, with blood pressure and glucose monitors, and body-composition measuring devices. The two groups were compared after 24 weeks in terms of health-behavior practice rate and changes in the proportion of people with health risks, and health behaviors performed by the IG that contributed to reductions in more than one health risk factor were analyzed using multiple logistic regression. RESULTS: Preference for low-sodium diet, reading nutritional facts, having breakfast, and performing moderate physical activity significantly increased in the mHealth IG. Furthermore, the mHealth IG showed a significant increase of eight items in the mini-dietary assessment; particularly, the items "I eat at least two types of vegetables of various colors at every meal" and "I consume dairies, such as milk, yogurt, and cheese, every day." The proportion of people with health risks, with the exception of fasting glucose, significantly decreased in the mHealth IG, while only the proportion of people with at-risk triglycerides and waist circumference of females significantly decreased in the control group. Finally, compared to those who did not show improvements of health risks, those who showed improvements of health risks in the mHealth IG had an odds ratio of 1.61 for moderate to vigorous physical activity, 1.65 for "I do not add more salt or soy sauce in my food," and 1.77 for "I remove fat in my meat before eating." CONCLUSIONS: The findings suggest that the additional use of a community-based mHealth service through a mobile application is effective for improving health behaviors and lowering metabolic risks in Koreans.

• The Journal of Korean Society for School & Community Health Education
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• v.9 no.2
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• pp.91-103
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• 2008

Objectives: This study was performed in order to evaluate the quality of health services provided to the adolescents at mobile health clinics and to improve the services for them, and to figure out knowledge level of adolescents on sex, birth control methods and artificial abortion, and the effect of the knowledge levels those items on sexual behavior. The data obtained will be utilized for sex health education program in the future. Methodology: A total of 2,021 adolescents who visited mobile sexual health clinics in Seoul, Inchon, Busan, Daejon, Cheonbuk, Kwangju and Daegu were surveyed in November 2007. The items surveyed were level of satisfaction about the services provided by mobile sexual health clinics, personal opinions and experience of artificial abortion, knowledge level about birth control, sexual experience and pregnancy. The above mentioned items were analyzed by general characteristics such as religion and geographical area. Results: The study subjects were generally satisfied with the services of mobile sexual health clinics. But they were not satisfied with the information about birth control methods provided by the clinics. The subjects who had better knowledge about sex were more satisfied with the services provided by the clinics. And the subjects who had knowledge about birth control methods but did not have birth control experience were also more satisfied with the services of clinics. The subjects who reported that artificial abortion should be allowed were also more satisfied with the services of the clinics. Experiences of sex, pregnancy, and artificial abortion were not correlated to satisfaction of the clinic services. Conclusions: The mobile sexual health clinics have to continues to provide sex health education and other sex related health services to adolescents. More practical information about birth control methods should be provided to the adolescents by the clinics based on the study results. Active preventive measures for unwanted pregnancy should be provided to the adolescents by the clinics.

• Journal of Information Technology Services
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• v.19 no.3
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• pp.117-137
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• 2020

The development of information technology leads to changes in various industries. In particular, the health care industry is more influenced so that it is focused on. With the widening of the health care market, the market of smart device based personal health care also draws attention. Since a variety of fitness applications for smartphone based exercise were introduced, more interest has been in the health care industry. But although an amount of use of mobile fitness applications increase, it fails to lead to a sustained use. It is necessary to find and understand what matters for mobile fitness application users. Therefore, this study analyze the reviews of mobile fitness application users, to draw key factors, and thereby to propose detailed strategies for promoting mobile fitness applications. We utilize text mining techniques - LDA topic modeling, term frequency analysis, and keyword extraction - to draw and analyze the issues related to mobile fitness applications. In particular, the key factors drawn by text mining techniques are explained through the concept of user experience. This study is academically meaningful in the point that the key factors of mobile fitness applications are drawn by the user experience based text mining techniques, and practically this study proposes detailed strategies for promoting mobile fitness applications in the health care area.

• Child Health Nursing Research
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• v.24 no.1
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• pp.91-100
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• 2018

Purpose: This study was to evaluate the quality of online health information related to infants and preschoolers accessible through mobile applications and websites. Methods: Using combinations of the terms 'infant', 'preschooler', and 'health' as the main keyword or categories, the researchers searched relevant mobile applications and websites in Korean application markets and popular search engines. Twelve mobile application and 14 websites were finally selected according to our inclusion criteria and evaluated using DISCERN instrument. Results: The overall quality score of online health information available through mobile applications was 2.00 of 5 points, the reliability score was 2.15, and the quality score was 1.76. The overall quality score of online health information available through websites was 2.29, the reliability score was 2.40, and the quality score was 1.82. Conclusion: The quality of online health information related to young children was found to be low and to have potentially significant drawbacks according to DISCERN criteria. Therefore, it is necessary to establish a system to evaluate and regulate the quality of online health information. Additionally, factors that readers can use to judge the quality of health information, such as references and the benefit versus risks of the information, should be provided.

• International journal of advanced smart convergence
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• v.8 no.2
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• pp.204-210
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• 2019

Mobile Crowd Computing is one of the most efficient and effective way to collect the Electronic health records and they are very intelligent in processing them. Mobile Crowd Computing can handle, analyze and process the huge volumes of Electronic Health Records (EHR) from the high-performance Cloud Environment. Electronic Health Records are very sensitive, so they need to be secured, authenticated and processed efficiently. However, security, privacy and authentication of Electronic health records(EHR) and Patient health records(PHR) in the Mobile Crowd Computing Environment have become a critical issue that restricts many healthcare services from using Crowd Computing services .Our proposed Efficient Multi-layer Encryption Framework(MLEF) applies a set of multiple security Algorithms to provide access control over integrity, confidentiality, privacy and authentication with cost efficient to the Electronic health records(HER)and Patient health records(PHR). Our system provides the efficient way to create an environment that is capable of capturing, storing, searching, sharing, analyzing and authenticating electronic healthcare records efficiently to provide right intervention to the right patient at the right time in the Mobile Crowd Computing Environment.

• International Journal of Computer Science & Network Security
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• v.24 no.3
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• pp.43-52
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• 2024

Health Monitoring System is a sophisticating technology and another way to the normal/regular management of the health of the patient. This Health Monitoring Mobile Application is a contribution from our side to the public and to the overall health industry in Pakistan. With the help of Health mobile application, the users will be able to store their medical records, prescriptions and retrieve them later. The users can store and keep track of their vital readings (heart rate, blood pressure, fasting glucose, random glucose). The mobile application also shows hospitals that are nearby in case the user wants to avail of any medical help. An important feature of the application is the symptoms-based disease prediction, the user selects the symptoms which he has and then the application will name certain diseases that match those symptoms based on relevant algorithms. The major advances and issues have been discussed, and as well as potential tasks to health monitoring will be identified and evaluated.

• Journal of Korean Clinical Health Science
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• v.5 no.4
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• pp.1026-1031
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• 2017

Purpose. This study was to investigate the relationships among mobile internet addiction, sleep quality, anxiety, and interpersonal relationship in university students. Method. A descriptive study design was used. Between 10 and 31 March 2016, 213 subjects completed a questionnaire consisting of questions on mobile internet addiction, anxiety, sleep quality, and interpersonal relationship. The data were analyzed using descriptive statistics, One way-ANOVA, and Pearson's correlation coefficient SPSS/WIN 21.0 programs. Results. Among mobile internet addiction there were significant differences between gender (t=3.40, p<.001), grade (F= 2.31, p<.001), majority field (F=5.34, p=.005), and take exercise (t=3.50, p<.001). This study has shown that mobile internet addiction were associated with sleep quality (r=-.40, p<.001) and anxiety (r=.14, p=.037). In addition, a correlation has been found significant between anxiety, and sleep quality (r=.48, p<.001), and sleep quality has associated with interpersonal relationship (r=-.46, p<.001). Conclusion. In this study, we revealed the observed a meaningful significant correlation between mobile internet addiction, sleep quality and anxiety. Therefore, it is important to emphasize control of mobile internet addiction for university students. The results of this study can be used as a basis on which to develop a mobile internet addiction intervention program.

• Journal of the Korean Society for information Management
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• v.34 no.3
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• pp.151-177
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• 2017

This study is to investigate the effects of personal characteristics and perceived interactivity on acceptance of mobile health information service by applying Technology Acceptance Model (TAM). Also it examine whether the perceived interactivity, which is a key variable in the previous research studying the intention of PC-based health information service, works on the mobile environment equally. As a result of the analysis, the relationship between the health hypochondria of personal characteristics and perceived interactivity is negative, and the health concern and perceived interactivity is positive. Also, personal characteristics influence perceived usefulness and perceived ease of use of mobile health information service through perceived interactivity. Therefore, the perceived interactivity in the health information service of web and mobile environment is an important variable to mediate or directly affect other variables.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.211-217
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• 2019

As the widespread use of mobile health intervention among Korean patients with chronic disease, it is needed to identify research trends in mobile health intervention on chronic care using text mining technique. This secondary data analysis was conducted to investigate characteristics and main research topics in intervention studies from 2005 to 2018 with a total of 20 peer reviewed articles. Microsoft Excel and Text Analyzer were used for data analysis. Mobile health interventions were mainly applied to hypertension, diabetes, stroke, and coronary artery disease. The most common type of intervention was to develop mobile application. Lately, 'feasibility', 'mobile health', and 'outcome measure' were frequently presented. Future larger studies are needed to identify the relationships among key terms and the effectiveness of mobile health intervention using social network analysis.

• Journal of Korean Academy of Nursing
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• v.54 no.1
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• pp.44-58
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• 2024

Purpose: This study aimed to apply a health partnership program using commercially available mobile health apps to improve cardiovascular risk factors in male employees and verify its effectiveness. Methods: Using a randomized control group pretest-posttest design, male employees with cardiovascular risk factors from five small and medium-sized workplaces were randomly assigned to an experimental group (n = 32) and a control group (n = 31). The experimental group was encouraged to use three mobile health apps for 12 weeks to acquire the necessary cardiovascular disease-related information and practice strengthening training, walking, and diet management appropriate to their level. They also received feedback on their weekly activities and motivational text messages from health partners. Hypotheses were tested using the SPSS WIN 22.0. Results: The experimental group showed a significant difference compared to the control group in terms of their perception of mobile health app (p < .05), self-efficacy for exercise and diet, self-management partnership, and cardiovascular disease prevention health behavior (p < .001). In particular, there were significant decreases in the body mass index, ratio, serum fasting blood sugar, total cholesterol, and triglyceride in the experimental group (p < .001); however, there was no significant difference in high-density lipoprotein-cholesterol. Conclusion: Intervention using mobile apps based on partnership with health managers is effective in improving the objective cardiovascular risk index in male employees; therefore, such intervention should be continuously used as a useful lifestyle modification strategy in the workplace.