• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.2
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• pp.208-213
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• 2021

The use of computers has increased greatly, and services have been developed very much for the convenience of users. As the use of computers increases, human activity has declined, and symptoms of deterioration in health are increasing. As the time to sit and live increased, humans are more exposed to diseases of low back pain, and low back pain includes pain related to the lower back centering on the herniated disc. Most of the back pain is caused by abnormalities in the muscles and ligaments that support the spine and trunk. In this paper, we present an overall design for developing an app that can obtain lumbar exercise effects to reduce low back pain or help treatment. In order to use this effectively, we propose a plan to obtain lumbar exercise effect, and aim to present an app design that can help effectively treat low back pain by using graphic-based guidance points.

• The Journal of Korean Society for School & Community Health Education
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• v.22 no.1
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• pp.1-9
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• 2021

Objective: This study examines the prevalence of osteoporosis, and compares with activity of daily living(ADL), instrumental activity of daily living(IADL) and health-related quality of life(QoL) among the elderly people with disabilities. Methods: This study analyzed the data of 3,113 persons with disabilities over 65 years of age who responded to the questionnaire using data from the National Survey of People with Disabilities in 2017 on the people with disabilities (PWD). Descriptive statistics, X2-test, and independent sample t-test were conducted using the SPSS win 21.0 program. Results: The prevalence of osteoporosis in the elderly PWD was 18.7%. There were significant differences in sex, age, type of disability, and disability severity according to the presence or absence of osteoporosis (p<0.05). Walking and Transfer of ADL were related to osteoporosis in elderly PWD. Financial management and Transportation use of IADL were related to osteoporosis (p<0.05). The PWD with osteoporosis were analyzed to have lower health-related quality of life compared to the disabled elderly without osteoporosis (p<0.05). Conclusion: Based on the results of this study, a strategy for developing a program for managing osteoporosis. Strengthening health management in the elderly PWD is required.

• The Journal of Korean Society for School & Community Health Education
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• v.22 no.3
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• pp.29-39
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• 2021

Purpose: This study aims to investigate the mediating effect of grit in the relationship between body image and health promotion lifestyle for nursing students. It was implemented to present basic data for the development of educational programs to establish the health promotion lifestyle of nursing students. Methods: The participants of this study were 169 nursing students in three universities in G City, J Province. Data were descriptive statistics, t-test, ANOVA, Pearson correlation analysis. Also mediation analysis was performed according to the Baron and Kenny method and Sobel test. Results: Health promotion lifestyle is positively correlated with body image(r=.53, p<.001), grit (r=.37, p<.001), and body image is positively correlated with grit(r=.33, p<.001). The grit showed a partial mediating effect between the body image and the health promotion lifestyle(Z=3.21, p<.001), the positive the body image(β=.46, p<.001), the higher the grit(β=.22, p<.001), the healthier the health. The level of health promotion lifestyle increased, and the explanatory power to explain the health promotion lifestyle was 33%. Conclusion: Therefore, in order to improve the health promoting lifestyle level of nursing students, it is important to change their perception so that they can view their body image positively. In addition, it suggests that nursing students need to cultivate grit so that they can continuously pay attention to and strive for their health promotion lifestyle.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.2
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• pp.5-24
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• 2021

This study intended to look at the Library Living Lab to solve community problems. To this end, this study investigated cases outside of the country and investigated various aspects of Living Lab's application to solving community problems. In addition, a survey was conducted on residents of Chungju to find areas where libraries can contribute to solving problems in the community and investigate the need. As a result, residents generally responded that "Library Living Lab," in which libraries participate in living lab activities in various fields, is needed to solve problems in the community. It shows that the range of services and activities that the library can provide can be expanded to the community and can be an innovative measure for library services that can solve almost all problems in the community through the Library Living Lab.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.383-395
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• 2021

The diversity of urban landscapes is established by dynamic characteristics such as language, color, and their movement, which are the building environment, street patterns, and people. With the increase of foreign migrants in Korea, new guidelines are needed in terms of local community administration and land policy. Administrative, sociological, and geographical studies have been conducted on the steadily increasing number of foreign migrants since the 2000s, but it is difficult to establish for making safe and healthy communities through which different cultures and lifestyles of each country and ethnic group undergo some integration with the existing host society. There are limitations in identifying the lack of statistical data and the representation of a minority proportion of foreign residents. In order to analyze the core elements of the integrated strategy of the local community, the residential behavior and spatial characteristics of foreign migrants must first be identified.

• Korean Journal of Community Nutrition
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• v.27 no.2
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• pp.132-145
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• 2022

Objectives: This study examined trends in the health status and dietary behavior changes by region using the raw data from the 2008 ~ 2019 Community Health Survey. Methods: This study analyzed the data of 2,738,572 people among the raw data of the Community Health Survey from 2008 to 2019. The regional differences in health status and dietary behavior were examined by classifying the regions into capital and non-capital regions, and the non-capital regions were classified into metropolitan cities and provinces. A chi-square test was conducted on the body mass index (BMI), diagnosis of diabetes and hypertension, frequency of eating breakfast, salty taste in usual diet, recognition of nutrition labeling, reading of nutrition labeling, and utilization of nutrition labeling. Results: In determining obesity using the BMI, the normal weight by year decreased, and the obesity rate by year was 34.6% in 2019, which increased by 13% compared to 2008. In addition, the diabetes diagnosis rate and hypertension diagnosis rate continued to increase with the year. Both diabetes and hypertension diagnosis rates were higher in the non-capital regions than in the capital region. Eating breakfast five to seven times per week was most common and showed a significant decreasing trend by year (P < 0.001). The percentage of respondents who said they eat slightly bland foods increased from 19.5% in 2008 to 19.9% in 2010 and then to 22.1% in 2013. The percentage then decreased to 19.9% in 2019, but showed an overall increasing trend (P < 0.001). According to the region, the capital region had a higher percentage than the non-capital region. The nutrition labeling's recognition rate and utilization rate increased yearly, whereas the reading rate decreased. Conclusions: The study results presented the primary data necessary to develop nutrition education programs and establish strategies for local nutrition management projects to improve disease prevention and dietary problems.

• Journal of Environmental Health Sciences
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• v.48 no.2
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• pp.123-129
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• 2022

Background: The Environmental Health Action Program was a national project carried out from 2012~2021. It was aimed at developing public technologies to protect people's health from various environmental hazards. Objectives: One of the final goals of the project was "creating health benefits worth more than 179.2 billion won by reducing the environmental burden of disease." This study aims to evaluate whether the program sufficiently achieved the planned benefits. Methods: In order to secure consistency in evaluation, we applied the same equation used in the goal-setting process. It is comprised of six parameters to estimate the benefit: 1. The amount of medical expenses for environmental diseases; 2. The attributable proportion of environmental risk factors' 3. The rate of reduction in medical expenses for environmental diseases; 4. R&D project contribution; 5. The proportion of successful policy reflection; and 6. The contributions of the project. The corresponding variables were estimated at the end of the project, and the health benefits of the project were recalculated using the newly estimated variables. Results: It was estimated that a total of 195 billion won in health benefits occurred or will occur from 2015 to 2026. The main contributors for achieving the target were an increase in medical expenses for environmental diseases, a high score in the R&D project contribution, and the proportion of successful policy reflection. Conclusions: Technically, the equation used in the project is about medical expenses for environmental diseases rather than about the environmental burden of disease. There are several benefits of using the environmental burden of disease in the evaluation of public health policies. In further studies, developing a policy evaluation framework using indicators such as population attributable fraction would be needed.

• The Journal of the Convergence on Culture Technology
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• v.8 no.4
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• pp.375-380
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• 2022

The purpose of this study is to find out consumers' perception and meaning of convenience store convenience food by using big data. For this study, NNAVER and Daum analyzed news, intellectuals, blogs, cafes, intellectuals(tips), and web documents, and used 'convenience store convenience food' as keywords for data search. The data analysis period was selected as 3 years from January 1, 2019 to December 31, 2021. For data collection and analysis, frequency and matrix data were extracted using TEXTOM, and network analysis and visualization analysis were conducted using the NetDraw function of the UCINET 6 program. As a result, convenience store convenience foods were clustered into health, diversity, convenience, and economy according to consumers' selection attributes. It is expected to be the basis for the development of a new convenience menu that pursues convenience and convenience based on consumers' meaning of convenience store convenience foods such as appropriate prices, discount coupons, and events.

• Journal of Creative Information Culture
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• v.7 no.4
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• pp.235-242
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• 2021

Recently, many human activity recognition(HAR) researches using smartphone sensor data have been studied. HAR can be utilized in various fields, such as life pattern analysis, exercise measurement, and dangerous situation detection. However researches have been focused on recognition of basic human behaviors or efficient battery use. In this paper, exercising activities performed indoors and outdoors were defined and recognized. Data collection and pre-processing is performed to recognize the defined activities by SVM, random forest and gradient boosting model. In addition, the recognition result is determined based on voting class approach for accuracy and stable performance. As a result, the proposed activities were recognized with high accuracy and in particular, similar types of indoor and outdoor exercising activities were correctly classified.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.5
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• pp.73-82
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• 2022

Chronic diseases such as hypertension require a differentiated approach according to age and life cycle. Chronic diseases such as hypertension require differentiated management according to the life cycle. It is also known that the cause of hypertension is a combination of various factors. This study uses machine learning prediction techniques to analyze various factors affecting hypertension by life cycle. To this end, a total of 35 variables were used through preprocessing and variable selection processes for the National Health and Nutrition Survey data of the Korea Centers for Disease Control and Prevention. As a result of the study, among the tree-based machine learning models, XGBoost was found to have high predictive performance in both middle and old age. Looking at the risk factors for hypertension by life cycle, individual characteristic factors, genetic factors, and nutritional intake factors were found to be risk factors for hypertension in the middle age, and nutritional intake factors, dietary factors, and lifestyle factors were derived as risk factors for hypertension. The results of this study are expected to be used as basic data useful for hypertension management by life cycle.