• International Journal of Advanced Culture Technology
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• v.4 no.3
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• pp.24-38
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• 2016

The purpose of our study is to analyze the effect of socio-economic status on the diet pattern of Korean adults. Raw data from the fifth (2010-2012) Korea National Health and Nutrition Examination Survey (KNHANES) were used, and finally 11,700 adults were analyzed as subjects. Results in consideration of the socio-economic status of the subjects, a linear trend was observed in men in which the odds ratio of having lunch (p for trend=0.006) and dinner (p for trend=0.0317) decreased as the level of education went down. In diet frequency, a decreasing trend (p for trend=0.0328) was observed in which the odds ratio of having 3 meals a day reduced as the household income lowered. For women, a linear trend (p for trend=0.0012) was observed in which the frequency of dinner decreased as the level of education became lower. A falling trend in the rate of having 3 meals a day was also observed (p for trend=0.0135). Our study analyzed the characteristics of the diet patterns of individuals according to their socio-economic status with the purpose of suggesting guidelines for correcting. To prevent this, we will need education and awareness and public attention for the practice of correct eating habits.

• Journal of Preventive Medicine and Public Health
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• v.55 no.6
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• pp.520-528
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• 2022

Objectives: Thiamine is thought to modify sleeping patterns, while alcohol use diminishes internal thiamine levels. We investigated the association between thiamine intake and sleep duration and explored possible heterogeneity in the effect according to alcohol use. Methods: In total, 15 384 participants aged 19-64 were obtained from the Korea National Health and Nutrition Examination Survey 2012-2016. Nutrient intake, including thiamine, was measured using a food frequency questionnaire. Sleep duration was measured by a self-reported questionnaire. The highest thiamine intake quartile was set as the reference group. Participants were divided into 3 groups, with 7-8 hours of daily sleep as a reference group and those who slept more or less than that as "oversleeping" and "insufficient sleeping," respectively. Multivariate logistic regression was used, adjusting for socioeconomic, medical, and nutritional factors. Additionally, participants were stratified according to high-risk alcohol use defined by the World Health Organization standards on alcohol use. Results: Low thiamine intake was associated with oversleeping (Q3: odds ratio [OR], 1.06; 95% confidence interval [CI], 0.86 to 1.32; Q2: OR, 1.24; 95% CI, 0.99 to 1.55; Q1: OR, 1.49; 95% CI, 1.16 to 1.91) and showed a significant trend for higher ORs at lower intake levels (p-trend<0.001). The effect was stronger in the high-risk alcohol use group (Q1: OR, 1.78; 95% CI, 1.28 to 2.49). Conclusions: Low thiamine intake was associated with oversleeping, and alcohol use intensified that association. These results were found in a context where overt clinical symptoms due to thiamine deficiency are considered rare. More awareness of the potential relationship of thiamine intake with oversleeping and its related risks should be considered.

• Clinical Nutrition Research
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• v.12 no.2
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• pp.138-153
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• 2023

The prevalence of metabolic syndrome (MetS) and its cost are increasing due to lifestyle changes and aging. This study aimed to develop a deep neural network model for prediction and classification of MetS according to nutrient intake and other MetS-related factors. This study included 17,848 individuals aged 40-69 years from the Korea National Health and Nutrition Examination Survey (2013-2018). We set MetS (3-5 risk factors present) as the dependent variable and 52 MetS-related factors and nutrient intake variables as independent variables in a regression analysis. The analysis compared and analyzed model accuracy, precision and recall by conventional logistic regression, machine learning-based logistic regression and deep learning. The accuracy of train data was 81.2089, and the accuracy of test data was 81.1485 in a MetS classification and prediction model developed in this study. These accuracies were higher than those obtained by conventional logistic regression or machine learning-based logistic regression. Precision, recall, and F1-score also showed the high accuracy in the deep learning model. Blood alanine aminotransferase (β = 12.2035) level showed the highest regression coefficient followed by blood aspartate aminotransferase (β = 11.771) level, waist circumference (β = 10.8555), body mass index (β = 10.3842), and blood glycated hemoglobin (β = 10.1802) level. Fats (cholesterol [β = -2.0545] and saturated fatty acid [β = -2.0483]) showed high regression coefficients among nutrient intakes. The deep learning model for classification and prediction on MetS showed a higher accuracy than conventional logistic regression or machine learning-based logistic regression.

• Journal of Nutrition and Health
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• v.41 no.2
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• pp.174-183
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• 2008

Although food insecurity might be associated with poor dietary intake, this relationship has not been researched in Korea. This study examined the association of food security with dietary intake from the third Korea National Health and Nutrition Examination Survey. Food security was measured by a self-reported hunger measure on the dietary situation of subjects' households in the previous year and approximately 2/3 of the subjects lived in food-insecure households. Dietary intake was based on a 24-hour dietary recall. Food insecurity was significantly associated with low nutrients intake and nutrients intake compared to dietary reference intakes (DRI) was also lower among subjects in food-insecure households. Overall diet quality based on dietary diversity score (DDS) was worse in food-insecure subjects. Food security should be considered an important issue to public health because dietary change due to food insecurity may affect health status.

• Journal of Nutrition and Health
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• v.52 no.4
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• pp.412-412
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• 2019

• Journal of Preventive Medicine and Public Health
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• v.46 no.2
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• pp.96-104
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• 2013

Objectives: The inherent nature of the Korean National Health and Nutrition Examination Survey (KNHANES) design requires special analysis by incorporating sample weights, stratification, and clustering not used in ordinary statistical procedures. Methods: This study investigated the proportion of research papers that have used an appropriate statistical methodology out of the research papers analyzing the KNHANES cited in the PubMed online system from 2007 to 2012. We also compared differences in mean and regression estimates between the ordinary statistical data analyses without sampling weight and design-based data analyses using the KNHANES 2008 to 2010. Results: Of the 247 research articles cited in PubMed, only 19.8% of all articles used survey design analysis, compared with 80.2% of articles that used ordinary statistical analysis, treating KNHANES data as if it were collected using a simple random sampling method. Means and standard errors differed between the ordinary statistical data analyses and design-based analyses, and the standard errors in the design-based analyses tended to be larger than those in the ordinary statistical data analyses. Conclusions: Ignoring complex survey design can result in biased estimates and overstated significance levels. Sample weights, stratification, and clustering of the design must be incorporated into analyses to ensure the development of appropriate estimates and standard errors of these estimates.

• Health Policy and Management
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• v.29 no.4
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• pp.399-411
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• 2019

Background: This study aimed to explore the associations of social-demographic, health-behavioral, and woman-specific factors with the non-screening status of the cervical cancer screening test in Korean adult women. Methods: This study was a cross-sectional analysis of 9,698 Korean adult women aged 20 years or more who participated in the Korea National Health and Nutrition Examination Surveys V (2010-2012). Rao-Scott chi-square tests and survey logistic regression analyses were employed respectively to analyze the difference in the non-screening status of the cervical cancer screening test by each characteristic and to explore the factors related to the non-screening status. Results: The rate of the non-screening status of the cervical cancer screening test was 53.5% over the previous 2 years. In the survey logistics regression analysis, age, marital status, educational levels, income levels, residential area, occupation, private health insurance, smoking, alcohol, obesity, menstrual status, pregnancy experience, and hormone replacement therapy were significantly associated with the non-screening status of the cervical cancer screening test. Conclusion: On the basis of the results of this study, some social-demographic, health-behavioral, and woman-specific characteristics of Korean adult women seem to affect the non-screening status of the cervical cancer screening test. Therefore, appropriate health policies need to be designed, implemented, monitored, and evaluated to reduce the non-screening status of the cervical cancer screening test of them.

• Journal of Korean society of Dental Hygiene
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• v.18 no.1
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• pp.93-101
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• 2018

Objectives: The purpose of this study was to investigate the relationship between consumption of nutrition and periodontal diseases in the Korean menopausal women. Methods: The data used for analysis were obtained from the sixth Korean National Health and Nutrition Examination Survey (2013). Subjects were 1,407 women aged over 35 years old. Data were analyzed by chi-square and t-test. Multiple regression analysis was also performed to assess the association between nutrition and periodontal diseases. Statistical significance level was set at p<0.05. Results: Using multiple logistic regression analysis after adjustment of age, education level, and BMI, we found significant relationship between intake of protein (OR: 0.31, 95%CI: 0.14-0.65), carbohydrate (OR:3.31, 95%CI 1.90-5.77) and risk for periodontitis. Conclusions: dequate intake of protein and decreased intake of carbohydrate may be recommended for prevention of periodontal diseases in the menopausal women.

• Journal of The Korean Society of Integrative Medicine
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• v.11 no.4
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• pp.291-298
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• 2023

Purpose : Although Korea's health insurance system and access to medical care are well established compared to other countries, the rate of non-fulfillment of dental treatment is high. Medical use rates can be affected by economic characteristics, individual heatlh condtions, health concerns, and health behaviors. This study was implemented to investigate the effect of the middle-aged elderly people's family living together on the dental examination rate and to use it as basic data for program development, research, and poicies to promote oral health. Methods : Raw data from the 7th national health and nutrition survey conducted by the Korea centers for disease control and prevention (2016~2018) were used and analyzed using SPSS 21.0 Version (IBM, United States). Results : As a result of the study family types accroding to general characteristics, the more women are (p<.001), the higther the age (p<.001), the lower the hosehold income level (p<.001), the lower the educational background (p<.001), the more people who live in Eup-Myeon (p<.001) It was fouend that the rate of living alone was high. The dental examination rate according to general characteristics was related to age (p<.001), income (p<.001), and educational background (p<.001), and the higher the examination rate was in the same (p<.001), and the higher the family living together (p<.001). Factors influencing whether or not dental treatment was not performed were in the following order: household income (p<.001), age (p=.001), and family type (p=.017). Conclusion : The above results confirmed the relationship between family membership and dental examination rates, and measures such as the development and operation of participatory programs to improve public oral health by resolving medical inequality and enhancing health equity, and it is believed that the development of professional manpower and the operation of education and programs for professionals are necessary.

• Korean Journal of Community Nutrition
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• v.25 no.6
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• pp.512-519
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• 2020

Objectives: A cross-sectional study was conducted to investigate the associations between food groups and hearing loss. Methods: Data of 1,312 individuals were used from the Korea National Health and Nutrition Examination Survey 2013. Hearing loss was determined with a pure tone average (PTA) of greater than 25 dB in either ear. The PTA was measured as the average hearing threshold at speech frequencies of 0.5, 1, 2, and 4 kHz. The dietary intake was examined with a food frequency questionnaire with 112 food items. The food items were classified into 25 food groups. A weighted logistic regression was used to investigate the association. Results: Individuals in the highest tertile of vegetables and nuts food groups were less likely to have hearing loss than those in the lowest tertile [Odds Ratio (OR) = 0.58 (95% Confidence interval (CI) 0.38-0.91), P = 0.019; OR = 0.59 (95% CI 0.39-0.90), P = 0.020, respectively], after adjusting for confounding variables of age, sex, body mass index, drinking, smoking, diabetes, hypertension, and physical activity. Conclusions: In this cross-sectional study, we observed that high intake of vegetables and nuts food groups revealed significant inverse associations with hearing loss, after adjusting for confounding variables among 1,312 participants.