• Journal of muscle and joint health
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• v.19 no.3
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• pp.350-361
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• 2012

Purpose: The purpose of this study is to explore the level of bone mineral densities of the femur neck and to identify factors affecting bone mineral density of the femur in Parkinson's disease (PD) patients. Methods: Participants were 121 PD patients visiting the outpatient clinic of D University Hospital in B City. Bone mineral density was measured at the femur neck by using a dual-energy x-ray absorptiometry. The serum vitamin D level, the amounts of milk intake, caffeine intake, cigaret smoking, and alcohol consumption, and the number of steps taken daily were measured. Past and present disease history, the medication history, and duration of the disease were also collected. The level of disability was obtained by neurologists using the Hoehn and Yahr stage and the Unified Parkinson's Disease Rating Scale. Results: Among PD patients, 57% had osteopenia and 15.7% had osteoporosis. The bone mineral density of the femur was associated with weight, serum vitamin D level, age, and working status. Conclusion: The identification of weight and serum vitamin D level as important predictive factors emphasizes the importance of balanced nutrition for PD patients.

• Korean Journal of Community Nutrition
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• v.6 no.3
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• pp.317-330
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• 2001

The purpose of this study was to figure out the characteristics of dietary habits and lifestyles related to the development of insulin resistance syndrome(IRS). The participants in this study were 595 adults with one or more abnormal data from a health examination and 215 normal adults. When IRS was defined as a condition in which the subjects have 2 or more abnormalities among obesity, hyperlipidemia, hypertension and hyperglycemia, the prevalence rate was 37.8%. We classified the 595 adults by the number of components of IRS components they had, the higher age and obesity index they had. Total cholesterol and glucose levels in the blood were also positively related to the number of IRS components. IRS subjects tended to practice less habitual drinking and more exercise and weight control. Coffee consumption and dining out frequency were also lower in the IRS group. An analysis of food habits by odds ratio indicated that total food score was better in the IRS group. However, it appeared that food habits such as \"frequent snacking\" and \"never rejecting offered foods\" need to be improved in IRS subjects. Other undesirable food habits were related to the consumption of eggs, dairy products, fried foods, garlic and onion. Dietary intake of Ca, Fe, riboflavin, Vit A, and energy were less than 75% of the Korean recommended allowance for more than half of the subjects. Nutrient intake was lower, Ca/P ratio from food intake was worse in the IRS group. Our results indicated that nutrition counseling for IRS need to be focused on balanced food intake to supply sufficient amount of each nutrient.nt of each nutrient.

• Journal of Nutrition and Health
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• v.41 no.4
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• pp.341-352
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• 2008

The number of school lunch-supported children who belong to low-income families has been rapidly increased in Korea. This study was aimed at evaluation of nutritional status of school lunch-supported elementary school children. One hundred school lunch-supported children and 119 non-supported children of fourth to sixth year class in 3 elementary schools in Gyeongbuk rural area were selected, and surveys were conducted twice, i.e., once during school term and once during summer vacation in 2006. Food consumption survey during school term was carried out through an interview by dieticians at school-lunch time using a 24-hour recall method, and the survey during summer vacation conducted by recording food intakes for three days by children. Nutrient intakes were calculated using CAN-Pro 3.0 program. School lunch-supported children showed higher rate of skipping breakfast and rather irregular meal time as compared to non-supported students. Eating alone was more frequent in school lunch-supported children than in nonsupported children. The average nutrient intakes and nutrient adequacy ratios were lower in supported children than in non-supported children. During term, percentages of nutrient intakes provided by school-lunch were higher in supported children than in non-supported children. Intakes of energy nutrients were within acceptable macronutrient distribution ranges, but proportion of carbohydrate intake increased during vacation. Analysis of patterns of food intakes based on major food groups (dairy, meat, grain, fruit, vegetable) indicated that meals during term were more balanced as compared to meals during vacation. In conclusion, food behaviors and nutrient intakes of school lunchsupported children were inferior to those of non-supported children during term and during summer vacation. They were provided with more nutrient intakes from school lunch during term as compared to non-supported children. Therefore, it is necessary not only to keep meal support program during vacation but also to provide a proper nutrition education as a part of school lunch program to improve nutritional status and food behaviors of school lunch-supported children.

• Journal of Nutrition and Health
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• v.57 no.1
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• pp.105-119
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• 2024

Purpose: The atherogenic index of plasma (AIP) is gaining recognition as a superior predictor of coronary artery disease. This study examined the relationship between the AIP and the intake of various food groups in Korean adults, using the baseline data from the Korean Genome and Epidemiology Study-The Health Examinees (KoGES-HEXA) study. Methods: This study included 133,381 adults (46,288 men, 87,093 women) who completed the nutrition survey and biochemical tests of the KoGES-HEXA study. The AIP was calculated as the log (triglycerides/high-density lipoprotein-cholesterol) and was divided into quintiles according to sex for further analysis. Data on food group intake were obtained using the semi-quantitative food frequency questionnaire, and daily food group intake (g/d) was evaluated for each individual. The association between the food group intake and the AIP was examined using the linear regression analysis after adjusting for the confounding variables. Results: In this study population, there was a positive correlation between energy intake and the AIP in men whereas an inverse assocation was shown in women (p < 0.001). In women, a rise in the AIP significantly correlated with an increased percentage of energy intake derived from carbohydrates but decreased percentages of energy from protein and fat (p < 0.001). In men and women, the consumption of grains and kimchi/pickles increased as the AIP rose, while the intake of legumes, nuts, meat and its products, eggs, fish, and milk and dairy products decreased. Among men, individuals in the highest AIP group showed higher intake of wheat products than those in the lowest group of the AIP. In women, the AIP was inversely correlated with potatoes and beverages consumption. Conclusion: This study highlights the importance of a balanced diet, including various protein sources, milk and dairy products, legumes, and nuts, for preventing cardiovascular diseases. Further research into sex-specific dietary patterns is essential for tailoring appropriate dietary recommendations.

• Journal of the Korea Society of Computer and Information
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• v.16 no.11
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• pp.245-253
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• 2011

Due to the imprudent spending of the fossil fuels, the environment was contaminated seriously and the exhaustion problems of the fossil fuels loomed large. Therefore people become taking a great interest in alternative energy resources which can solve problems of fossil fuels. The wind power energy is one of the most interested energy in the new and renewable energy. However, the plants of wind power energy and the traditional power plants should be balanced between the power generation and the power consumption. Therefore, we need analysis and prediction to generate power efficiently using wind energy. In this paper, we have performed a research to predict power generation patterns using the wind power data. Prediction approaches of datamining area can be used for building a prediction model. The research steps are as follows: 1) we performed preprocessing to handle the missing values and anomalous data. And we extracted the characteristic vector data. 2) The representative patterns were found by the MIA(Mean Index Adequacy) measure and the SOM(Self-Organizing Feature Map) clustering approach using the normalized dataset. We assigned the class labels to each data. 3) We built a new predicting model about the wind power generation with classification approach. In this experiment, we built a forecasting model to predict wind power generation patterns using the decision tree.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.576-579
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• 2011

Wireless sensor network are widely all over different fields. Because of its distinguished characteristics, we must take account of the factor of energy consumed when designing routing protocol. Wireless sensor networks consist of small battery powered devices with limited energy resources. Once deployed, the small sensor nodes are usually inaccessible to the user, and thus replacement of the energy source is not feasible. Hence, energy efficiency is a key design issue that needs to be enhanced in order to improve the life span of the network. In BCDCP, all sensors sends data from the CH (Cluster Head) and then to the BS (Base Station). BCDCP works well in a smallscale network however is not preferred in a large scale network since it uses much energy for long distance wireless communication. TBRP can be used for large scale network, but it weakness lies on the fact that the nodedry out of energy easily since it uses multi-hops transmission data to the Base Station. Here, we proposed a routing protocol. A Cluster Based Energy Efficient Tree Routing Protocol (CETRP) in Wireless Sensor Networks (WSNs) to prolong network life time through the balanced energy consumption. CETRP selects Cluster Head of cluster tree shape and uses maximum two hops data transmission to the Cluster Head in every level. We show CETRP outperforms BCDCP and TBRP with several experiments.

• Journal of Advanced Navigation Technology
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• v.11 no.4
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• pp.461-472
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• 2007

In Ubiquitous Sensor Network (USN), the sensor nodes are required to consume their energy evenly to prolong the lifetime of the entire sensor network because of the limited energy of the sensor node. AODV which is applied to USN as routing protocol selects route according to only the shortest distance of the minimum hop count but regardless of the remaining battery power for each node. Thus it comes to ill-balanced power consumption seriously. In this paper, a scheme that controls packet relay quantity of each sensor node adaptively to prevent traffic overhead at a certain node and to increase the entire network lifetime is proposed. As it is analyzed by simulations, the proposed scheme enhances USN lifetime by balancing each sensor node's packet relay quantity.

• Nutrition Research and Practice
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• v.5 no.5
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• pp.443-449
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• 2011

Instant noodles are widely consumed in Asian countries. The Korean population consumed the largest quantity of instant noodles in the world in 2008, However, few studies have investigated the relationship between instant noodles and nutritional status in Koreans. The objective of this study was to examine the association between instant noodle consumption and food and nutrient intake in Korean adults. We used dietary data of 6,440 subjects aged 20 years and older who participated in the Korean National Health and Nutrition Examination Survey III. The average age of the instant noodle consumers (INC) was 36.2 and that of the non-instant noodle consumers (non-INC) was 44.9; men consumed more instant noodles than women (P<0.001), With the exception of cereals and grain products, legumes, seaweeds, eggs, and milk and dairy products, INC consumed significantly fewer potatoes and starches, sugars, seeds and nuts, vegetables, mushrooms, fruits, seasonings, beverages, meals, fishes, and oils and fats compared with those in the non-INC group. The INC group showed significantly higher nutrient intake of energy, fat, sodium, thiamine, and riboflavin; however, the INC group showed a significantly lower intake of protein, calcium, phosphorus, iron, potassium, vitamin A, niacin, and vitamin C compared with those in the non-INC group. This study revealed that consuming instant noodles may lead to excessive intake of energy, fats, and sodium but may also cause increased intake of thiamine and riboflavin. Therefore, nutritional education helping adults to choose a balanced meal while consuming instant noodles should be implemented, Additionally, instant noodle manufacturers should consider nutritional aspects when developing new products.

• Journal of the Korea Society for Simulation
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• v.20 no.4
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• pp.31-40
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• 2011

Sensor nodes are easily exposed to malicious attackers by physical attacks. The attacker can generate various attacks using compromised nodes in a sensor network. The false report generating application layers injects the network by the compromised node. If a base station has the injected false report, a false alarm also occurs and unnecessary energy of the node is used. In order to defend the attack, a statistical en-route filtering method is proposed to filter the false report that goes to the base station as soon as possible. A path renewal method, which improves the method, is proposed to maintain a detection ability of the statistical en-route filtering method and to consume balanced energy of the node. In this paper, we proposed the secure path cycle method to consume effective energy for a path renewal. To select the secure path cycle, the base station determines through hop counts and the quantity of report transmission by an evaluation function. In addition, three methods, which are statistical en-route filter, path selection method, and path renewal method, are evaluated with our proposed method for efficient energy use. Therefore, the proposed method keeps the secure path and makes the efficiency of energy consumption high.

• Journal of Nutrition and Health
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• v.37 no.10
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• pp.899-907
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• 2004

This study was performed to investigate dietary habits and nutritional intake according to body mass index (BMI) of female college students. The subjects were 1361 students with a mean age of 20.4 years residing in Seoul and Kyonggui area. BMI (kg/) between $\geq$ 18.5 to $\leq$ 23 was considered as nonnal, < 18.5 as underweight and > 23 as overweight. The subjects had a mean BMI of 20.0 kg/$m^2$ and 25% of them were classified as underweight group, 67% as normal group and 8% as overweight group. Dietary intake was assessed by food frequency method and consumption of foods and nutrients was analyzed. Frequency of meal skipping was higher in the overweight group, 16.1 % of the overweight group skipped dinner. Also, the frequency of snack intake was lowest in the overweight group. The overweight group consumed less meat and fish than the normal and underweight groups. The total number of foods consumed in a day was also significantly lower than that of the underweight and normal group. The overweight group consumed less energy, protein, fat, phosphorus and niacin than the underweight and normal groups. The overweight group took iron and sodium intake lower than the normal group. Mean intakes of nutrients except clacium and iron in all three groups were over Korea RDA. The NAR (nutrient adequacy ratio) value of all nutrients, except calcium, was lower in the overweight group when compared to the normal and underweight groups, and the MAR (mean adequacy ratio) of the overweight group was 0.89, which was lower than 0.92 of the underweight and 0.93 of the normal group. The above results indicated that the deficiency of major nutrients such as calcium and iron could be inducde by less kinds of consumed foods and frequent meal skipping including dinner in the overweighted group. Therefore, balanced nutrient intake is required to maintain skeletal health and prevent anemia in overweighted female college students aged twenties.