• Korean Journal of Health Education and Promotion
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• v.19 no.2
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• pp.73-98
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• 2002

This study was carried out to investigate the relationship between social support, social network and health behaviors as surveyed by cross-sectional study in 744 rural people aged above 30 of a community dwelling sample of one county for 6 days of July in 2000. Objectives of this study was in order to establish an effective health promotion. The sample was accrued by face to face interview of direct visiting from clustered sampling method. Interview was conducted by trained medical students with the questionnaire consisted of socio-demographic data, health behavior, social support and social network based on previous literature. The summarized results were as follows: 1. There were significant difference in the level of social support and social network by general characteristic variables except occupation and residency type(p〈0.05). 2. There were significant difference in knowledge about hypertension, smoking status, status of physical exercise, diet patterns by social support and social network in spite of variation of social support and social network subconcept(p〈0.05). And there were significant difference in alcohol drinking status, body weight control and diet pattern according to level of social network(p〈0.05). But smoking status by social support and network results opposite direction(p〈0.05). 3. There were no regular or consistent result in the relationship between social support, social network and health behavior. 4. Major predictors for health behavior on the multiple logistic regression that included general characteristic, social support and social network were age, instrumental social support and worry about health. Significant variables of multiple logistic regression for health behavior that included social support(instrumental and emotional) and social network were instrumental social support and social network. These results suggest that only a instrumental element and social network may be associated with health behavior. Inconsistent with prior research in these some item, a positive consistent relationship was not found between social support, social network and health behavior. So the study should be replicated to determined the reliability of our findings.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.66 no.12
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• pp.1810-1814
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• 2017

This paper develops an approach to the algorithm of Gait pattern Analysis and step measurement with Multi-Pressure Sensors. The process of gait consists of 8 steps including stance and swing phase. As 3 parts of foot is supporting most of human weight, multiple pressure sensors are attached on the parts of foot: forefoot, big toe, heel. As 3 parts of foot is supporting most of human weight, multiple pressure sensors are attached on the parts of foot: forefoot, big toe, heel. normal gait proceed from heel, forefoot and big toe over time. While normal gait proceeds, values of heel, forefoot and big toe can be changed over time. So Each values of pressure sensors over time could discriminate whether it is normal or abnormal gait. Measuring Device consists of non-inverting amplifiers and low pass filter. Through timetable of values, normal gait pattern can be analyzed, because of supported weight of foot. Also, the peak value of pressure can judge whether it is walking or running. While people are running, insole of shoes is floating in the air on moment. Using this algorithm, gait analysis and step count can be measured.

• Archives of Plastic Surgery
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• v.37 no.4
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• pp.485-488
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• 2010

Purpose: Paragonimiasis is infectious disease occurred by Paragonimus Westermani, which invades into human body as a final host. Habitual eating the freshwater crab or crawfish unboiled is one of the reason of infection. Paragonimiasis raged in 1970s in Korea, Japan, China and other Asian countries but the incidence decreased rapidly. Once people eat infected second host, parasite penetrates the duodenal wall and migrates to the lung. During this migration period, the parasite can migrate to other organ, such as brain, spinal cord, liver and subcutaneous tissue, but the cases are rarely reported. The objective of our study is to present our experience of the ectopic migration of parasite to the subcutaneous tissue of the abdomen, which was easily treated with excision and Praziquantel medication. Methods: A 59-year-old woman who likes eating unboiled freshwater crab was diagnosed as Paragonimiasis 15 months ago. Her symptoms were fever and cough, and she was treated with Praziquantel medication. 3 months after discharge, she visited our hospital with left pleuritic chest pain, cough with fever, and palpable mass formation on left lower quadrant of the abdomen. Wedge resection of the left lung and Praziquantel medication was maintained for a week. Nevertheless, fever persisted after the treatment. The patient received total excision of the abdominal soft tissue mass, and the fever was relieved. Results: Pathologic findings of the mass showed multiple cyst and abscess formation with crystal structure which is suspicious parts of the parasite or calcified egg shells. Uncontrolled fever was relieved after the operation, and there was no evidence of recurrent Paragonimiasis and ectopic migration for 1 year follow up period. Conclusion: Ectopic migration of Paragonimus is rare, but multiple organ can be involved. Patient with Paragominiasis who was refractory in fever control after Praziquantel medication or surgical evaluation of the lung should be considered as ectopic migration of the Paragonimiasis.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.6
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• pp.1207-1213
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• 2007

This paper has researched water supply facilities management using real-time water utility monitoring system based on USN(Ubiquitous Sensor Network) which is consisted of wireless sensors transferring waterworks facilities md treatment information about a valve-room and flowmeter-room of water supply installation. In the manholes, it was installed with flowmeter, pressure sensors, vibration sensors, Co-sensors, and hydro-thermograph sensors. These measurement values which are received by PDA are used for facilities operation on the spot safely and conveniently. It has also provided safe installation management via CDMA(Code Division Multiple Access) network which transfers data to remote servers to monitoring at a distance place. With safety management system of water supply facilities on USN technology convenience and safety is increased in real situation, and it is expected that we can supply clean water to people as much safer and more effective water supply installation management.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.1-9
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• 2021

This study aimed to find out the factors influencing the fall of middle-aged women aged 40 to 64 and to use it as basic data for the development of a fall prevention program. The study was based on raw data from the 2019 Korea Community Health Survey. To establish the impact of fall experience of middle-aged women, descriptive statistics, chi-square test, and multiple logistic regression were used. Of the 43,917 people surveyed, 11.9% of middle-aged women said that they had experienced a fall. Falls were more common among women with increasing age or without a spouse. Those who experienced a lot of depression and perceived stress and were diagnosed with diabetes also had a higher fall experience. In the case of drinking, women who drank more than non-drinkers were more likely to fall. The results of this study can lead to a better understanding middle-aged women who have experienced falls, and they can be used as basic data for the development of related health programs.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.6
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• pp.1263-1268
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• 2018

In this paper, a video analysis is proposed to implement video surveillance system with deep learning object detection and probabilistic data association filter for tracking multiple objects, and suggests its implementation using GPU. The proposed video analysis technique involves object detection and object tracking sequentially. The deep learning network architecture uses ResNet for object detection and applies probabilistic data association filter for multiple objects tracking. The proposed video analysis technique can be used to detect intruders illegally trespassing any restricted area or to count the number of people entering a specified area. As a results of simulations and experiments, 48 channels of videos can be analyzed at a speed of about 27 fps and real-time video analysis is possible through RTSP protocol.

• Nutrition Research and Practice
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• v.13 no.2
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• pp.150-158
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• 2019

BACKGROUND/OBJECTIVES: Inflammation is known to be a risk factor for metabolic diseases. This study aimed to develop a Food-based Index of Dietary Inflammatory Potential (FBDI) and examine its association with metabolic biomarkers. SUBJECTS/METHODS: This study analyzed the raw data from the 2012-2014 Korean Genome and Epidemiology Study data of 17,771 people. To analyze the relationship between foods consumed by Koreans and inflammation, we conducted a correlation analysis between 51 food groups and hs-CRP levels. The FBDI was developed from 17 food groups selected by multiple regression method. We examined whether FBDI was associated with metabolic markers (waist circumference, blood pressure, fasting glucose, triglyceride, and HDL-cholesterol) in the 6th Korea National Health and Nutrition Examination Survey (KNHANES). We used binary logistic regression analysis to examine the association. RESULTS: The FBDI model included seven of the anti-inflammatory food groups and three of the pro-inflammatory food groups. The FBDI formula was calculated by multiplying the intake of food group by ${\beta}$-coefficients derived from the multiple regression model based on the correlation analysis. The FBDI was significantly associated with waist circumference (P < 0.001), blood pressure (P < 0.001), triglyceride level (P < 0.001), and HDL-cholesterol (P < 0.001) level among adults aged 20-64 years in the KNHANES. The prevalence of metabolic syndrome was 2.618 times higher in the group with the highest FBDI than in the group with the lowest one (95% confidence interval: 1.778-3.856, P for trend < 0.001). CONCLUSIONS: This study established an FBDI reflecting food intake patterns of Koreans, which showed a significant relationship with the prevalence of metabolic syndrome.

• Korea Journal of Hospital Management
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• v.24 no.2
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• pp.12-22
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• 2019

Purposes: The purpose of this study was to examine the association between risk behaviors and smoking in Korean adolescents. Methods: This study used data from online survey of youth health behavior in 2017. Data from a total of 54,411 people (27,139 male, 27,272 female) were included in the analysis. chi-square test, simple logistic regression, multiple logistic regression were performed using SAS 9.4. Findings: Multiple logistic regression analysis showed that risk behaviors such as drinking alcohol experience, sexual experience, drug use experience and high caffeine energy drinks intake experience had a significant effect on smoking. Adolescents with drinking experience were more likely to smoking than those who had no experience(OR=8.58, 95% CI: 7.67~9.60). Adolescents with sexual experience were more likely to smoking than those who had no experience(OR=4.47, 95% CI: 3.91~5.11). Adolescents with drug use experience were more likely to smoking than those who had no experience(OR=2.32, 95% CI: 1.63~3.32). Also, adolescents with high-caffeine energy drinks intake experience were more likely to smoking than those who had no experience(OR=1.37, 95% CI: 1.23~1.53). Practical Implications: All the risk behaviors were significantly associated with smoking rates. Results of this study suggest that physicians and health workers in medical institutions and health centers should simultaneously serve education and consultation for the smoking cessation as well as for the prevention of risk behaviors.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.6
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• pp.219-227
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• 2019

The purpose of this study is to investigate the relationship between self - integration and frontal cognitive function in the welfare center users. The data were collected on January 18-30, 2018. 120 people in the M city, has participated in more than 65 years older. data were analyzed using frequency, mean and standard deviation, t-test, ANOVAs, and Pearson's correlation coefficient and multiple regression analysis. The results of this study showed that current satisfaction of welfare center users is statistically different from 'attitude toward life', 'acceptance of lifetime', 'satisfaction of present life' of ego integrity. Self - integration sense showed 28.3% explanatory power in current life. Effect of prefrontal cognitive function in accordance with the partner showed a 16.1% explanatory power This study suggests the necessity of policy and program development for the elderly community life to improve self - integration and frontal cognitive function in old age.

• The Journal of Korean Society for School & Community Health Education
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• v.19 no.3
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• pp.109-121
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• 2018

Background & objectives: Life style modification reduces the health risks of young people and improves their health status. Physical activity is known the effective factor to reduce health risks and health problems. This study performed to analyze health promotion behaviors related to physical activity among first-year students of university. Methods: To examine the association with physical activity and health promotion practices, health survey was conducted with 3,806 students who were first-year students in a university by self-reported questionnaire from February 26 to March 10, 2015. Multiple logistic regression analysis was performed to identify the difference of health promotion behaviors by physical activities. Results: 51.4% of the first-year student was regular exercisers who had practiced on regular walking exercise or regular strength exercise or regular aerobic exercise for a week. 87.8% of students exercised one or more times within the last one week. On the other hand, 12.2% of them did not exercise. In multiple logistic regression models, it remained significantly the difference of regular exercise by gender, subjective health status, sleeping time per one day, BMI, drinking behavior, and eating habit (p<0.05, p<0.01, p<0.001). Also it remained significantly the difference by physical activity type, such as walking, strengthen, and aerobic exercise (p<0.05, p<0.01, p<0.001). Conclusion: To help the achievement of academic goal, it should build physical activity policies and comprehensive health promotion programs to reduce health risk factors of university students. Comprehensive university health services and customized program for university students could help to make the best of their health. In future, to enhance physical activity practice, it needs to develop various tailed messages and smart healthcare service using health information technology (IT) on campus.