• Asian Pacific Journal of Cancer Prevention
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• v.13 no.2
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• pp.545-552
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• 2012

This study evaluated the validity and reliability of applying a newly developed dish-based, semi-quantitative food frequency questionnaire (FFQ) for Korean diet and cancer research. The subjects in the present study were 288 Korean adults over 30 years of age who had completed two FFQs and four 3-day diet records (DRs) from May 2008 to February 2009. Student's t-tests, Chi-square tests, and Spearman's rank correlation coefficients were used to estimate and compare intakes from different dietary assessment tools. Agreement in quintiles was calculated to validate agreement between the results of the second FFQ (FFQ-2) conducted in February 2009 and the DRs. Median Spearman's correlation coefficients between the intake of nutrients and foods assessed by the FFQ-1 and FFQ-2 were 0.59 and 0.57, respectively, and the coefficients between the intake of nutrients and foods assessed by the FFQ-2 and the DRs were 0.31 and 0.29, respectively. The quintile classifications of same or adjacent quintile for intake of nutrients and foods were 64% and 65%, respectively. Misclassification into opposite quintiles occurred in less than 5% for all dietary factors. Thus this newly-developed, Korean dish-based FFQ demonstrated moderate correspondence with the four 3-day DRs. Its reliability and validity are comparable to those reported in other studies.

• Journal of Nutrition and Health
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• v.34 no.6
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• pp.688-700
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• 2001

Nutrient intakes estimated using a 24-hr recall, a dirt record and a food frequency questionnaire(FFQ) were compared in a group of ninety-four elderly people(21 males, 73 females) in Cheongju, a city in Chung-Buk province. Mean intakes for energy, protein, Ca, p, Na, K thiamin and niacin obtained from the diet record were higher than those from the 24-hr recall. Mean intakes for energy, protein, Ca, P, Na, K thiamin, niacin and vitamin C from the FFQ were higher than those obtained from the 24-hr recall or the diet record. Correlation coefficients between the nutrient intake values from the 24-hr recall and those from the diet record ranged from 0.84 to 0.95 and were significantly correlated(p < 0.001). About 80% of the subjects in the lowest quintile by the 24-hr recall were also in the lowest two quintiles by the diet record. While the percentage fallen into the opposite category ranged from 0% to 15%. For most nutrients, at least 65% of the subjects when classified by the 24-hr recall fell into the same quintile when classified by the diet record, and the mean kappa value was 0.7. About 52% of the subjects in the lowest category by the 24-hr recall fell into the lowest two categories by FFQ. The mean percentage of the subjects in the lowest quintile by the diet record or in the lowest two quintiles by the FFQ was 51%. For most nutrients, at least 24% of each of the subjects when classified by both the 24-hr recall and the diet record fell into the same category when classified by the FFQ. The kappa values between the 24-hr recall or the diet recall and the FFQ were 0.17. These data indicate that in elderly subjects the 24-hr recall can provide very similar information to that obtained from the diet record but the FFQ can not provide good information if the right FFQ method is not used for only elderly subjects.

• Journal of the Korea Convergence Society
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• v.10 no.2
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• pp.217-225
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• 2019

The Latent Growth Modeling(LGM) is known as the typical analysis method of longitudinal data and it could be classified into unconditional model and conditional model. It is common to assume that the growth trajectory of unconditional model of LGM is linear. In the case of quasi-linear, the methodology for improving the model fitness using Sequential Pattern of Association Rule Mining is suggested. To do this, we divide longitudinal data into quintiles and extract periodic changes of the longitudinal data in each quintiles and make sequential pattern based on this periodic changes. To evaluate the effectiveness, the LGM module in SPSS AMOS was used and the dataset of the Youth Panel from 2001 to 2006 of Korea Employment Information Service. Our methodology was able to increase the fitness of the model compared to the simple linear growth trajectory.

• Nutrition Research and Practice
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• v.16 no.4
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• pp.489-504
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• 2022

BACKGROUND/OBJECTIVES: This study examined socio-economic differences in diverse food consumption among children 6-23 months of age in South Asia and Southeast Asian countries. SUBJECTS/METHODS: Data from Demographic and Health Surveys in four countries in South Asia (n = 15,749) and four countries in Southeast Asia (n = 10,789) were used. Survey-design adjusted proportions were estimated for the following 10 food items: grains, legumes, dark green leafy vegetables (DGLV), vitamin A-rich fruits, vitamin A-rich vegetables, other fruits and vegetables (OFV), fish, meat, dairy, and eggs. An equity gap was defined as an arithmetic difference in the proportion of each food item consumed in the past 24-hours between the wealthiest and lowest quintiles and between rural and urban areas, denoted by percentage points (pp). RESULTS: The consumption of most of the 10 food items was higher in the wealthiest quintiles and urban areas across eight countries. The size of equity gaps was greater in Southeast Asia than in South Asia, particularly for vitamin A-rich fruits (3.3-30.0 pp vs. 0.3-19.6 pp), vitamin A-rich vegetables (12.1-26.7 pp vs. 2.4-5.9 pp), meat (17.7-33.4 pp vs. 3.4-13.4 pp), and dairy (14.7-32.5 pp vs. 3.3-11.4 pp). However, the size of equity gap in egg consumption was greater in Southeast Asia than South Asia (11.2-19.8 pp vs. 11.0-26.7 pp). Relatively narrower gaps were seen in the consumption of grains (0.3-12.9 pp), DGLV (0.6-12.4 pp), and fish (0.1-16.8 pp) across all countries. CONCLUSIONS: Equity gaps in food consumption differed by socio-economic status and region. Reducing equity gaps in nutrient-rich foods and utilizing regionally available food resources may increase child dietary quality.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.13 no.4
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• pp.254-268
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• 2013

For real-world clustering tasks, the input data is typically not easily separable due to the highly complex data structure or when clusters vary in size, density and shape. Kernel-based clustering has proven to be an effective approach to partition such data. In this paper, we provide an overview of several fuzzy kernel clustering algorithms. We focus on methods that optimize an fuzzy C-mean-type objective function. We highlight the advantages and disadvantages of each method. In addition to the completely unsupervised algorithms, we also provide an overview of some semi-supervised fuzzy kernel clustering algorithms. These algorithms use partial supervision information to guide the optimization process and avoid local minima. We also provide an overview of the different approaches that have been used to extend kernel clustering to handle very large data sets.

• Journal of information and communication convergence engineering
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• v.16 no.4
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• pp.242-247
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• 2018

The data of K-Water waterworks is collected from various sensors and used as basic data for the operation and analysis of various devices. In this way, the importance of the sensor data is very high, but it contains misleading data due to the characteristics of the sensor in the external environment. However, the cleansing method for the missing data is concentrated on the prediction of the missing data, so the research on the detection and prediction method of the missing data is poor. This is a study to detect wrong data by converting collected data into quintiles and patterning them. It is confirmed that the accuracy of detecting false data intentionally generated from real data is higher than that of the conventional method in all cases. Future research we will prove the proposed system's efficiency and accuracy in various environments.

• Journal of Preventive Medicine and Public Health
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• v.42 no.6
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• pp.386-391
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• 2009

Objectives : This cross-sectional study was performed to examine if the serum gamma-glutamyltransferase (GGT) level that is within its normal range is associated with the risk of type 2 diabetes and if the association between the waist hip ratio (WHR) and type 2 diabetes is different depending on the serum GGT levels. Methods : The study subjects were 23,436 persons aged 40 years or older and who participated in regular health check-ups at 11 hospitals (males: 5,821, females: 17,615). The gender-specific quintiles of the serum GGT and WHR were used to examine the associations with type 2 diabetes. Results : The serum GGT levels within their normal range were positively associated with type 2 diabetes only in women. The adjusted odds ratios (ORs) were 1.0, 1.0, 1.4, 2.1, and 2.5 according to the quintiles of the serum GGT ($p_{trend}$<0.01). The WHR was more strongly associated with the prevalence of diabetes among the women with a high-normal serum GGT level as compared with those with a low-normal serum GGT level (p for interaction=0.02). For example, the adjusted ORs for women with a low normal serum GGT level were 1.0, 1.2, 1.5, 2.2, and 2.4 according to the quintiles of the WHR, while those figures were 1.0, 2.4, 3.6, 5.0, and 8.3 among the women with a high normal serum GGT level. However, in men, the serum GGT was very weakly associated with type 2 diabetes and the association between the WHR and type 2 diabetes was not different depending on the serum GGT level. Conclusions : Serum GGT within its normal range was positively associated with type 2 diabetes, and central obesity was more strongly associated with the prevalence of type 2 diabetes when the serum GGT level was highnormal. However, these associations were observed only in women, which is different from the previous findings. The stronger relation between central obesity and type 2 diabetes among women with a high-normal serum GGT level can be useful for selecting a group that is at high risk for type 2 diabetes irregardless of whatever the underlying mechanism is.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.7
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• pp.443-452
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• 2018

The purpose of this study was to investigate the utilization behavior of medical services according to the characteristics of socioeconomic status (SES) and prevalence by using the 6th National Health and Nutrition Survey data for adults over 25 years old. Frequency and technical statistical analysis, ANOVA, ${\chi}^2$-test, and regression analysis were performed using SPSS 23.0. The results were as follows: more female than male, 65 years old and over, high school graduate, and unemployed and income quintiles were similar. The SES score considering education level, function, and income quintiles was the highest at 7-8, and most of the respondents felt moderate about their subjective health condition. The mean number of prevalence was $1.07{\pm}1.497$, the mean utilization of outpatient services was $0.50{\pm}0.045$, and the mean number of inpatient services use was $0.12{\pm}0.454$. Depending on general characteristics, there was a significant difference between subjects with prevalence and subjective health conditions. Higher age was associated with lower education, skill level, income, and SES score, and average prevalence was associated with poor subjective health conditions. More serious prevalence was associated with greater utilization of inpatient services. More chronic prevalence was associated with utilization of outpatient services. In other words, higher SES score was associated with lower overall use of medical services. Lower SES score was associated with higher use of medical services. In conclusion, we must develop appropriate health education programs that can prevent diseases in groups with low socioeconomic characteristics. There is the need to construct and implement a community-based appropriate health service system so that proper medical services can be used.

• The Korean Journal of Health Service Management
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• v.11 no.1
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• pp.117-130
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• 2017

Objectives : In this study, 3,107 patients were used to evaluate the impact based on raw data of 2014 and the health status and medical expenses income quintile was collected and data was analyzed. Methods : Analysis method was the average comparison, ANOVA, subjected to a multiple logistic regression analysis, the statistical test was the t-test and the scheffe post verification. Results : Gender(p<.000), age(p<.000), marital status(p<.000) educational status (p<.000), easement(p<.000), medication(p<.000), subjective health status(p<.005) were analyzed. First quintile identified that the highest amount was spent in the Chungcheong region, the 2nd quintile showed that the highest output was in the Gyeongsang region. The 3rd and 4th quintiles indicated that the highest expenditure was in the Seoul metropolitan region. The 5th quintile showed that the Chungcheong was the highest once again and the Jeolla region was the lowest in terms of expediture. Conclusions : Future medical research on income will require the government's Big Data collection to create the primary basis for policy making in order to improve the efficiency, effectiveness and equity of medicine spending.

• Journal of Nutrition and Health
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• v.37 no.6
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• pp.448-454
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• 2004

The relationship between dietary carbohydrate (CHO) and fasting triglyceride (TG) concentrations was examined in 2,689 men, 1,908 premenopausal women, and 966 postmenopausal women aged 20-69 years in the 1998-Korean Health and Nutrition Survey. The serum TG concentrations in fasting blood samples were measured and dietary CHO intake was assessed by using 24-hour recall method. As CHO intake increased, the TG concentrations were significantly affected (127.4 mg/dl, 132.4 mg/dl, 134.8 mg/dl, 142.6 mg/dl, 147.2 mg/dl) in postmenopausal women, while CHO intake was not significantly associated with TG concentrations in men and in premenopausal women. For the lowest to the highest quintiles of CHO, the mean TG concentrations were 120.0 mg/dl and 140.3 mg/dl in postmenopausal women with body mass index (BMI) ＜25 kg/m$^2$ and 135.6 mg/dl ＆ 155.3 mg/dl in postmenopausal women with BMI$\geq$25 kg/m$^2$. In multivariate analysis, BMI, waist hip ratio (WHR), glucose, smoking, and drinking habit were associated with serum TG concentrations in men. In premenopausal women, BMI, WHR, and glucose levels were associated with serum TG concentrations, while age, BMI, WHR, glucose levels, and CHO intake were associated with serum TG concentrations in postmenopausal women. In conclusion, CHO intake is related to serum TG concentrations in postmenopausal women in Korea.