• Korean Journal of Health Education and Promotion
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• v.24 no.3
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• pp.119-128
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• 2007

The purpose of this study is to develop Web database for healthy city that contains healthy city indicators for making city health plans, setting project priorities, monitoring projects, and evaluating healthy city projects, effectively. Using Delphi survey method for identifying indicator domains and indicators, we extracted nine domains with thirty-four healthy city indicators. Based on the appraisals of DB users about the contents of DB, a web database for healthy city Wonju was constructed. We developed a web database system for the purposes of sharing high quality health related data for managing and evaluating healthy city projects. The web database currently provides variety data in the web address, http://healthycity.wonju.go.kr/index.html. The web DB comprised with major healthy city indicators that are the most important indicators, healthy city indicator data that have a variety data set for encompassing all domain areas such as city infrastructure, health medicine, economies, and all other related areas and qualitative data that contains policy reports, research results, healthy city information and all other tips. A database of healthy city is very essential and important because it makes healthy city projects alive by managing and sharing healthy city related data effectively. But we need to fill out some blank cells in DB because there are currently unavailable data for some indicators. In conclusion, we expect the web DB contributes information sharing of healthy city project teams and improving healthy city project quality at Wonju city in Korea.

• The Korean Journal of Health Service Management
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• v.6 no.1
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• pp.219-229
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• 2012

The purpose of this study is to introduce the web database for healthy city Wonju that contains healthy city indicators and materials. It has provided diverse information to public officers who are working on healthy city projects and citizens for monitoring and evaluating the projects, effectively. The web database was made on 2006 and was updated on 2009. The new Web database system was designed for supporting that the staffs of healthy city can manage all data update by themselves. The new Web database encompasses more recent information about health city projects. After identifying users' needs and reasons for modifying the fields of data, we added new indicators to the Web database. Some redundant indicators were deleted based on users' requests. The Web database quality evaluations were performed by using 13 quality evaluations constructs. Through all 13 constructs, less than 20% of study subjects felt that it did not satisfy their needs or expectations. Well developed and verified contents of the Web database for healthy city are very essential and important. The database makes healthy city projects alive by managing and sharing healthy city related data and indicators effectively.

• Korean Journal of Health Education and Promotion
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• v.31 no.5
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• pp.159-166
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• 2014

Purpose: In spite of many Healthy Cities projects in Korea, there are few research about healthy urban planning. So we tried to use available recent models to a Healthy Cities project in a medium sized city in Gyeongnam province. Methods: Using mainly European Healthy Urban Planning Model and opinion leader survey, SWOT analysis, forum and discussion have been done to a city. Secondary city health indicator obtained from Ministry of Statistics. Results: There are strong need to develop health industry, green traffic and healthy living from survey using Healthy Cities policy direction of Korean Health Promotion Fund. Among the Healthy Urban Planning objectives, improvements of physical environments, prevention of accidents and crime, improvements of healthy esthetics rated highly. Although environmental pollution was problem local government push forward to the pilot healthy urban project as active healthy water-front development. Considering secondary healthy city indicators, change of external forces and internal capacity final task for healthy urban planning for Yangsan city were development of riverside physical education park and active living and anti-ageing environments etc. Conclusions: Comprehensive assessment and plan was possible through MAPP Model using European Healthy Urban Planning objectives to draw the direction of future urban planning for Healthy Cities Projects. Further research and formal introduction would be needed.

• The Journal of the Korea Contents Association
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• v.19 no.4
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• pp.682-689
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• 2019

This study aims to spatialize the gap between obesity levels through the body mass index, an objective indicator of the level of health among vulnerable people. Thus, areas where the BMI showed cluster patterns with spatial high and low values were extracted and the characteristics of the region were analyzed. The analysis showed that the I statistics for the obesity rate were 0.07 and the z-score was 4.39, confirming spatial autocorrelation. For z-score, it was much larger than the maximum threshold of 2.57. This means that the rate of obesity among the socially vulnerable is regional, and this gap is spatially significant. The results of comparing and analyzing the local environment for these areas of obesity and health care were found to be areas with poor public transportation, less readily available parks, and a concentration of single and multi-generation housing. The analysis results of this study are meaningful in that they provide spatial implications for the health of the socially vulnerable class that previous studies have neglected.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.12
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• pp.346-351
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• 2017

This research examines 240 patients who visited a center a specific city, between July-September 2017. Subjects underwent body composition analysis and brainwave measurements, and were subsequently divided into groups according to BMI and body fat percentage. These patients were measured by timeseries linear analysis for their brain function and observed via brainwave activities. Results of the research are as follows: there is a difference in stress-resistance between obese and those in the healthy weight range. This implies there is a causal relationship between stress and obesity. In addition, the methodology used in this study, which is a scientific and objective physiological indicator of a scientific and objective physiological index, suggests that the results of the study are reliable. Results support that managing stress moderates obesity-related problems.

• Journal of the Korean Society of Food Science and Nutrition
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• v.33 no.1
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• pp.107-113
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• 2004

This study explored the association between the bone nutrition indicators and the bone mineral density (BMD) in 138 apparently healthy elderly (male: 38, female: 100) dwelling in a low income area of the city. Dietary intakes were estimated from two meals (breakfast ＆ dinner) and snack using 24 hr-recall method and lunch with weighing over 3 consecutive days. Female elderly showed significant lower intakes (p<0.001∼p<0-05) for most of the nutrients except calcium and vitamin C than the elderly male. Calcium and vitamin D intakes for both male and female were 331.0 mg, 1.89 $\mu\textrm{g}$ and 308.6 mg, 1.21 $\mu\textrm{g}$, respectively and they were below the 50% of the RDA. Both the BMDs at lumbar spine (LS) and femoral neck (FN) were positively correlated with the energy intake, calcium intake and vitamin D intake (p<0.05, respectively) for male. In female BMDs of the both sites were positively correlated with the intakes of carbohydrates, protein, lipid, calcium and vitamin D (p<0.01∼p<0.05). Female showed higher serum osteocalcin (p<0.01) and urinary deoxypyridinoline/creatinine (DPYR/CR) (p<0.001), meaning that female had elevated rate in bone turn over and bone resorption. The proportion of subjects with vitamin D deficiency assessed with serum 25(OH)VitD$_3$<10 mg/mL was 35.0% for female and 23.7% for male, respectively Both the BMDs at lumbar spine and trochanter were positively correlated with serum 25(OH)VitD$_3$ but BMDs in most of the sites were negatively associated with urinary DPYR/CR, phosphate/CR. Stepwise multiple regression showed physical activity, serum alkaline phosphatase, weight, vitamin D explained 47.6% of the variation of the LS BMD. The indicator variable for serum alkaline phosphatase was negatively associated with LS BMD. However, the indicator variable for weight and vitamin D intake were positive and significant (p=0.0087, p=0.0007, respectively). For FN BMD, the indicator variable for age and serum alkaline phosphatase were negative and significant (p<0.0075, p<0.0015, respectively) and the weight was positively associated with the FN BMD.