• Spatial Information Research
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• v.21 no.6
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• pp.81-89
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• 2013

Recently, several studies conducted for other countries show that housing price has very close relationship with personal or neighborhood level obesity. Also these studies suggest the use of housing price as a new SES(Socio-Economic Status) variable for health related studies. In this study, whether this relationship can be found in regions of the Seoul Metropolitan Area is investigated. The results of this study show that, as in the cases of other countries, the regions with SES represented by higher housing prices show lower obesity levels. Further, the results show that the differences in regional housing prices well explain the variations of regional obesity levels as other traditional SES variables do. This finding indicates that housing price which is objectively, continuously, and spatially measured in Korea can be used as a new SES indicator for health research in Korea.

• Journal of Community Nutrition
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• v.6 no.3
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• pp.125-130
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• 2004

The purpose of this study is to investigate the relative influence of diet and physical activity on obesity. The subjects were 155 adults aged 35-52 years from 24 neighborhood committees in 4 urban districts of Beijing (male : 78, female : 77). They were divided into normal weight, overweight and obese groups according to their BMI. The general information of the subjects was collected by interview-administered questionnaire. Dietary intake was obtained by three-day(two weekdays and one weekend day) food weighted method, physical activity was assessed by a validated combination of data obtained from activity monitors, bicycling information and activity records. There were no significant differences of age, gender, height, educational, family economic level, smoking and drinking between different groups. The proportion of flour intake was higher in obese group compared to normal weight and overweight groups, and that of vegetables is lower in obese group. The physical activity (PAL) was not significantly different between two groups of the normal, overweight and obese groups. After the adjustment for confounding factors using logistic regression model, we found that the proportion of flour intake was positively associated with obesity, while the proportion of vegetable intake was inversely associated with obesity. It is concluded that dietary patterns were associated with obesity and diets composed of more vegetables and less staple combined with physical activities could contribute to obesity prevention.

• Journal of Environmental Science International
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• v.18 no.11
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• pp.1199-1206
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• 2009

Obesity affects various kinds of adult diseases and is a principal cause of injuring people's health. Physical activities are very important to solve the obesity problem and green spaces are good place to take physical activities. In order to examine the utilization of green spaces for physical activities to improve health, the survey was implemented in regards to recognition of health, forms of use of green spaces for physical activities. Only 8.1% of respondents didn't care about health, but 91.9% of them were interested in health more than 'commonness'. 95.2% of respondents knew that obesity has an effect on various adult diseases, and 93.1% of respondents cognized that it's possible to prevent obesity by doing physical activities. More than half of respondents replied that the types of green spaces utilized for physical activities were small-scale neighborhood parks and mini parks around house. About 70% of respondents took walking as a type of physical activities. 53% of respondents utilized green spaces one or two times a week, while 25% of them utilized the places at least three times a week to take physical activities. 91.8% of respondents took exercise for more than 30 minutes. These results are expected to promote health because many experts encourage people to take physical activities at least three times a week because fats of human body begins to bum after 30 minutes from start of physical activities. In the utilizing time of green spaces, evening or after work(56.7%) was higher than morning or before work(35.1%). 71% of respondents usually visited green spaces by walking. This study shows green spaces are good places for physical activities and have boundless potentialities improving people's health.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.595-597
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• 2017

Modern people are exposed to obesity problems with convenient lifestyle, over nutrition, and lack of exercise. The greater the desire for longevity, the greater the problem of obesity. People work out in neighborhood parks, walkways, and hiking trails to improve their obesity. The municipal government encourages its residents to provide various exercise information by setting up signs on the promenade or hiking trail. However, conventional exercise signs do not provide various athletic and health information because they are built-in fixed type. Therefore, this study suggests scientific exercise management through smart health screen in accordance with the healthcare IT age. The IT-based smart health screen provides real-time calorie consumption, step count, and heart rate. The systematic and scientific exercise management provided by the smart health screen helps the locals to control the amount of exercise and strength suitable for each individual. In addition, walking without special cost makes it possible to manage health and obesity. We hope that our research will be of little help in resolving obesity.

• Journal of the Korean Institute of Landscape Architecture
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• v.42 no.3
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• pp.1-12
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• 2014

Urban Green space takes charge of the important role for the physical activity and promotion of health to the residents. Therefore, this study is trying to examine the relationship between the various characteristics of green space and green space usage for physical activity and health promotion. A questionnaire survey was conducted to obtain the information about patterns of green space usage and perceived neighborhood environments for the residents living in Changwon-si, Gyeongsangnam-do(n=541). Geographic Information System(GIS) was used to construct spatial data about green space accessibility and physical neighborhood environments. A Multiple Linear Regression model was used to examine the association between the characteristics of green space and physical activity, perceived health status and BMI(Body Mass Index). The study results revealed that the residents' physical activities are positively and directly influenced by the number of available public parks and green spaces in the vicinity(${\leq}200m$). The frequency at which residents witness others exercising nearby or the perceived abundance of low-cost gym facilities also factor as positive influences. The closer to the park, the higher the number of parks and area of green spaces, the more comfortable the walk thereto and the denser the neighboring residential area distribution, the perceived health level was found to be the more positively influenced. Further, it was verified that BMI is correlated with the number of public parks and green spaces within 400 m of the resident's home as well as the safety of walkways, the density of neighboring residential areas, the ratio of road, and the density of crosswalk. The significant multiple regression models between the characteristics of green spaces and physical activities and perceived health level were extracted within the significance level of 10%. This study will contribute to provide better understanding the ways in which green space and neighborhood characteristics are associated with physical activity and health. The result of this research will be available in the landscape architecture plan aimed at improving the use of green space for physical activity and reducing obesity.

• Journal of the Korean Institute of Landscape Architecture
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• v.42 no.3
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• pp.64-75
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• 2014

The purpose of this study is to analyze the effects of satisfaction in neighborhood park environments located in the Changwon-si of Gyeongsangnam-do, South Korea, on physical activity, the number of parks used for health improvement, and health levels based on Body Mass Index(BMI). Accordingly, a survey was conducted of 429 nearby residents and users of eight neighborhood parks located in urban areas of Seongsan-gu and Uichang-gu in the Changwon-si. The correlation between the environmental perception of neighborhood parks and physical activity and health, which was observed in the survey results, was analyzed using one-by-one linear regression analysis. By summarizing the study results, it was found that the primary reasons for avoiding park use were lack of time, time and effort required to reach the park(i.e., distance from the park), and lack of facilities within the park. Conversely, the primary reasons for using the park included accessibility, walking or strolling, leisure facilities, trees or shade, and diversity in exercise areas. In the case of park users, walking or strolling was the most common activity in the park. On average, park users walked to the parks for 10 minutes and exercised for an hour at least twice per week. With respect to the physical environment of the parks and surrounding areas, park users showed a high level of satisfaction with the distance between their houses and parks and the street environment. On the contrary, they exhibited low levels of satisfaction with water spaces and sightseeing within the parks. Subsequently, it was shown that the number of people using the parks for physical activities and health improvement was positively influenced(within a 5% significance level) by the intent to use the park for exercise, time spent in the park, satisfaction with park use and health improvement, distance to the park, and the convenience of using the park for the elderly. However, only the health improvement gained from park use was found to exhibit a correlation with BMI at the 10% significance level. Continuous accumulation of practical case studies on physical activities in parks and their health improvement effects is required. Through this, park spaces that are under the threat of reduction or elimination owing to various development plans can be conserved and expanded. Furthermore, such case studies can be used to provide data as the basis for deriving park plans and designs that improve parks' functions as sites of physical activity and health improvement.

• Journal of Community Nutrition
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• v.6 no.3
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• pp.131-136
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• 2004

The purpose of this study is to compare the relative risk of metabolic syndrome (MS) in middle aged adults with different body weights. 155 subjects living in urban Beijing were recruited from 24 neighborhood committees of urban Beijing. They were divided into normal weight, overweight and obese groups according to their BMIs. The general information of the subjects was collected using an interview-administered questionnaire. Standard procedure was followed to measure subject's weight, height and waist. Biochemical parameters (total cholesterol (TC), low- and high­density lipoprotein cholesterol (LDL-C ; HDL-C), triglyceride (TG), and fasting glucose) and blood pressure were also determined. The results indicated that the systolic and diastolic blood pressure, HDL-C of obese group was lower than that of the normal weight group. Fasting glucose of obese males was significantly higher than that of normal weight males. No significant difference of fasting glucose was found among female groups. No significant difference of TG was found among male groups, while TG of overweight and obese females was both significantly higher than normal weight females. There was no significant difference of TC and LDL-C among normal weight, overweight and obese groups in both males and females. The MS rate of obese males was significantly higher than the normal weight and overweight males, as was the female. The relative risk of MS in obese group was about 11 times higher (OR=11.249, $95\%CI$ = 3.812 - 33.191) than the normal weight group after adjusting for age, gender, smoking, drinking, family economic level and education status. It is concluded that obesity contributed to lower HDL-C, hypertriglyceride, hypertension and MS after controlling the effects of age, gender, socioeconomic status, alcohol drinking and smoking. Obese individuals have a higher risk of having MS than their normal weight counterparts.

• Journal of the Korea Society of Computer and Information
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• v.26 no.6
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• pp.19-28
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• 2021

Nowadays, interest in health care is increasing due to Coronavirus (COVID-19), and a lot of people are doing home training as there are more difficulties in using fitness centers and public facilities that are used together. In this paper, we propose a personalized exercise recommendation algorithm using personalized propensity information to provide more accurate and meaningful exercise recommendation to home training users. Thus, we classify the data according to the criteria for obesity with a k-nearest neighbor algorithm using personal information that can represent individuals, such as eating habits information and physical conditions. Furthermore, we differentiate the exercise dataset by the level of exercise activities. Based on the neighborhood information of each dataset, we provide personalized exercise recommendations to users through a dimensionality reduction algorithm (SVD) among model-based collaborative filtering methods. Therefore, we can solve the problem of data sparsity and scalability of memory-based collaborative filtering recommendation techniques and we verify the accuracy and performance of the proposed algorithms.