• Journal of Nutrition and Health
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• v.47 no.4
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• pp.268-276
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• 2014

Purpose: The aim of this study is to estimate total sugar intake and identify major food sources of total sugar intake in the diet of the Korean population. Methods: Dietary intake data of 33,745 subjects aged one year and over from the KNHANES 2008-2011 were used in the analysis. Information on dietary intake was obtained by one day 24-hour recall method in KNHANES. A database for total sugar content of foods reported in the KNHANES was established using Release 25 of the U.S. Department of Agriculture National Nutrient Database for Standard Reference, a total sugar database from the Ministry of Food and Drug Safety, and information from nutrition labeling of processed foods. With this database, total sugar intake of each subject was estimated from dietary intake data using SAS. Results: Mean total sugar intake of Koreans was 61.4 g/person/day, corresponding to 12.8% of total daily energy intake. More than half of this amount (35.0 g/day, 7.1% of daily energy intake) was from processed foods. The top five processed food sources of total sugar intake for Koreans were granulated sugar, carbonated beverages, coffee, breads, and fruit and vegetable drinks. Compared to other age groups, total sugar intake of adolescents and young adults was much higher (12 to 18 yrs, 69.6 g/day and 19 to 29 yrs, 68.4 g/day) with higher beverage intake that beverage-driven sugar amounted up to 25% of total sugar intake. Conclusion: This study revealed that more elaborated and customized measures are needed for control of sugar intake of different subpopulation groups, even though current total sugar intake of Koreans was within the range (10-20% of daily energy intake) recommended by Dietary Reference Intakes for Koreans. In addition, development of a more reliable database on total sugar and added sugar content of foods commonly consumed by Koreans is warranted.

• Nutrition Research and Practice
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• v.16 no.sup1
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• pp.1-10
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• 2022

BACKGROUND/OBJECTIVES: The Dietary Reference Intakes for Koreans (KDRIs) were revised in 2020. Due to the rapidly aging Korean population, special consideration was given to reclassify the KDRI age group categories of older adults. This article examines the evidence for modifying the current KDRI age group ranges of older adults (65-74 and ≥ 75 yrs). SUBJECTS/METHODS: We first reviewed the domestic and international data on the elderly, following which we received expert opinions on age classification from the KDRI Advisory Committee. Finally, the 6th and 7th (2013-2017) Korea National Health and Nutrition Examination Survey (KNHANES) data were used to analyze the nutritional intake statuses by considering the age of older adults. RESULTS: According to the review results of domestic and international data and the inputs received from the expert advisory committee, the minimum age considered for the elderly was maintained at 65 yrs. However, the KNHANES data was analyzed to review whether there was a need to subdivide the later periods. Examining the differences in nutrient intakes by age group through the interaction effect term of the piecewise linear regression model revealed the interaction effect was maximum in the groups divided by 65 yrs (50-64 and 65-80), as compared to the groups divided by 70 yrs (50-69 and 70-80) and 75 yrs (50-74 and 75-80). The mean adequacy ratio was calculated per 1 yr of age, and a 3-yr (age) moving average analysis was performed to examine the change in the trends of overall nutrient intake. However, it was challenging to secure a scientific basis for subdivision into age groups in older adults from the results obtained. CONCLUSIONS: This study could not find any scientific evidence for modifying the KDRI age groups for older adults.

• Journal of Environmental Health Sciences
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• v.46 no.1
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• pp.65-77
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• 2020

Objectives: This study investigated the average number of drinkers in Korea, the number of high-risk drinkers, the average amount of alcohol consumed by high-risk drinkers, and the types of alcohol consumed according to the characteristics of the group of dependent drinkers. Methods: The results were obtained by analyzing the following data: The Global Status Report on Alcohol and Health; Country Profile 2014; WHO Country Profile 2014; Korea National Health and Nutrition Examination Survey 2014, Korean Statistical Information Service; National Tax Statistics-Liquor Tax; Gallup Drinking Frequency Survey 2015 Results: This study found that a large proportion of drinkers in Korea are already high-risk drinkers, and even among drinkers, alcohol consumption was highly biased. It was reported that 49.8% of men in the problem, abuse, and dependence groups accounted for 92.4% of total alcohol consumption among the male population. Notably, the 9.6% of men making up the dependent group consumed more than 30% of the alcohol ingested among males. Women had significant variations within groups that were considered high-risk and exhibited a large share of alcohol consumption in the problem (10.0% of the female population), abuse (1.8% of the female population), and dependence (1.5% of the female population) groups, constituting 72.8% of total alcohol consumption. The average amount of alcohol consumed by drinkers in Korea seems to have exceeded the level of intake by high-risk groups. Alcohol-dependent groups consumed 900.7 mL of soju, 405.2 mL of table wine, and 2,043.8 mL of beer, which is very similar to the consumption average of 2,031 mL of beer and 895.2 mL of soju in the drinking group. Conclusion: It has been shown that men's dependence on alcohol is serious, and it is possible to infer that alcohol consumption in some vulnerable groups is very high. As the average alcohol intake among alcohol-dependent groups and ordinary drinkers is very similar, it is highly likely that the drinker is an alcohol-dependent consumer in Korea.

• Journal of Korean society of Dental Hygiene
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• v.23 no.5
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• pp.379-386
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• 2023

Objectives: This study aimed to prepare basic data to improve the health-related quality of life of cancer survivors by confirming their oral and mental health statuses and identifying factors affecting their health-related quality of life. Methods: Of all participants in the 8th KNHANES (2019-2020), adults aged 19 years or older who responded 'yes' to the diagnosis of cancer and 404 cancer survivors who responded 'none' to the current cancer prevalence item were selected as the final research participants. Multiple regression analysis was conducted to confirm the effect of cancer survivors' oral and mental health on health-related quality of life. Results: Subjective oral health (p<0.01), chewing problems (p<0.05), subjective health (p<0.001), and depression (p<0.01) had an effect on health-related quality of life from multiple regression analyses. Conclusions: Therefore, oral and mental health promotion may improve health-related quality of life. Thus, it is necessary to recognize the importance of oral and mental health and implement preventive education and programs.

• Korean Journal of Artificial Intelligence
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• v.12 no.2
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• pp.1-7
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• 2024

In this paper, we compare three models (logistic regression, Random Forest, and XGBoost) for predicting stroke occurrence using data from the Korea National Health and Nutrition Examination Survey (KNHANES). We evaluated these models using various metrics, focusing mainly on recall and F1 score to assess their performance. Initially, the logistic regression model showed a satisfactory recall score among the three models; however, it was excluded from further consideration because it did not meet the F1 score threshold, which was set at a minimum of 0.5. The F1 score is crucial as it considers both precision and recall, providing a balanced measure of a model's accuracy. Among the models that met the criteria, XGBoost showed the highest recall rate and showed excellent performance in stroke prediction. In particular, XGBoost shows strong performance not only in recall, but also in F1 score and AUC, so it should be considered the optimal algorithm for predicting stroke occurrence. This study determines that the performance of XGBoost is optimal in the field of stroke prediction.

• Nutrition Research and Practice
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• v.6 no.3
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• pp.254-262
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• 2012

The objective of this study was to provide information regarding trends of rice consumption of Korean adults based on different meal types. Respondent reports 24-hour recall data from the Korean National Health and Nutrition Examination Survey were used to assess daily rice consumption and intake ratios of rice for different meal types and places of preparation. Rice intake had gradually decreased from 224.6 g in 1998 to 190 g in 2001 and to 179.4 g in 2005. The rice consumption of Korean adults decreased every year in all ages for all places of meal preparation in 2001 and 2005 compare to 1998. Analysis for each meal type showed that rice intake at breakfast had not considerably changed, but rice intake had decreased at lunch and dinner. While the rice consumption ratio at lunch and dinner decreased, it also decreased or did not change at snack times except for the 19-29 age groups. All the age groups revealed comparable change in the analysis for meal types. There was some diversity between all age divisions in daily rice intake depending on place of meal preparation. The rice consumption by place of meal preparation was generally highest at home, lowest at other places, but it decreased in all places. The rice consumption at home was highest in the over 50 age group, lowest in the 20-30 age group. These changes seem to be related to food intake patterns of rice and substitutional foods in the diets and development regarding socio-economic status. So the need for further study on differences in rice intake based on socioeconomic levels and age group are indicated.

• Journal of Korean Biological Nursing Science
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• v.26 no.1
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• pp.49-59
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• 2024

Purpose: This study was conducted to identify factors associated with high-risk drinking in Korean men. Methods: This study was a secondary analysis using data from the Korea National Health and Nutrition Examination Survey (KNHANES VIII-2), 2020. Data were downloaded from the KNHANES website. The subjects of this study were 1,653 alcohol-drinking men between 19 and 64 years of age. Data were analyzed using the Rao-Scott chi-square test and complex sample logistic regression statistics. Results: The high-risk drinking rate among alcohol-drinking men was 27.1%. High-risk drinking was more common in men who smoked (odds ratio [OR] = 2.11, p < .001), men with a middle school education or lower (OR = 1.91, p = .016), men who lived with a spouse (OR = 1.61, p = .025), men who slept less than 6 hours on weekends (OR = 1.51, p = .016), and men who perceived stress (OR = 1.30, p = .044), while it was lower in men who were underweight (OR = 0.19, p = .006). Conclusion: To reduce the rate of high-risk drinking, it is necessary to provide an intervention that considers factors associated with high-risk drinking among men. In particular, smoking was the most important factor associated with high-risk drinking, implying that the integrated management of drinking and smoking is necessary to reduce high-risk drinking.

• Clinical and Experimental Pediatrics
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• v.62 no.7
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• pp.261-268
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• 2019

Purpose: This study aimed to evaluate the time trends of waist circumference (WC) and waist-height ratio (WHR), and to present WC and WHR distributions with optimal WHR cutoff for abdominal obesity in Korean children and adolescents. Methods: We performed a retrospective cross-sectional analysis of data from 13,257 children and adolescents (6,987 boys and 6,270 girls) aged 6-18 years who were included in the third to sixth Korea National Health and Nutrition Examination Survey (KNHANES, 2005-2015). Linear regression analyses were used to identify secular changes in WC and WHR by age, sex, and KNHANES waves. A receiver operating characteristic curve analysis was used to determine the optimal WHR cutoff values for abdominal obesity and cardiometabolic risk factors. Results: The mean WC and WHR distributions from 2005 to 2015 showed no significant secular changes between the KNHANES 4 waves (P for trend ${\geq}0.05$ in all ages and both sexes). The mean WCs in the present study were lower than those in the 2007 Korean National Growth Charts. The mean WHR at ages <13 years was statistically higher in the boys than in the girls, but did not significantly differ between the sexes among those aged 13 to 18 years. The optimal WHR cutoff for abdominal obesity was 0.48 (area under the curve, 0.985; 95% confidence interval, 0.985-0.985) in the 13- to 18-year-old adolescents. Conclusion: WC and WHR showed no secular changes over 10 years. The optimal WHR cutoff for abdominal obesity of 0.48 is useful for diagnosing and managing obesity and thus preventing obesity-related cardiometabolic complications in 13- to 18-year-old Korean adolescents.

• Korean journal of food and cookery science
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• v.31 no.5
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• pp.660-675
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• 2015

This study was performed to assess the nutrient intake and dietary diversity of Korean children and adolescents using the Korean dietary pattern index developed in previous studies. For this study, 6,462 children and adolescents aged 7~18y who participated in the dietary intake survey (24h recall method) of the 2007~2013 KNHANES were sampled. The food items included in the Korean dietary index were jusik-ryu, guk/tang-ryu, gui/jjim-ryu, namul-ryu, yeomjangchaeso-ryu, jang-ryu and mitbanchan-ryu. All the subjects and both age groups (7~12y, 13~18y) were divided into quartiles. According to the results of this study, the range of the Korean dietary pattern score was 0~58 for all of the subjects and also in the 13~18 age group, and was 0~52 in the 7~12y age group. When the pattern score for each food group was compared across the quartiles of the Korean dietary pattern score, in all the subjects as well as in the 7~12y and 13~18y age groups, the pattern score for jusik-ryu and yeomjangchaeso-ryu was highest in Q1~Q4. or all the food groups, the mean pattern score was highest in Q4. These results suggested that the Korean dietary pattern score is highly associated with jusik-ryu including rice and yeomjangchaeso-ryu including kimchi. Accordingly, it is considered necessary to develop an index that reflects the characteristics of Korean cuisine and, at the same time, assesses the nutritional status and food consumption tendency of Korean children and adolescents.

• Tuberculosis and Respiratory Diseases
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• v.83 no.4
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• pp.268-275
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• 2020

Background: It is not evident that the attributable risk of smoking on mortality in Korea has decreased. We investigated the impact of smoking on all-cause mortality and estimated the attributable risk of smoking in Korean adults. Methods: Those aged ≥20 years with smoking history in the Korean National Health and Nutrition Examination Surveys (KNHANES) 2007-2015 were enrolled. We categorized the participants into three groups as follows: never smoker, <20 pack-years (PY) smokers, and ≥20 PY smokers. We applied inverse probability weighting using propensity scores to control various confounders between the groups. All-cause mortality risks were compared between the groups using the Kaplan-Meier log-rank test. The effects of smoking-attributable risks (ARs) on mortality were also calculated. Results: A total of 50,458 participants were included. Among them, 19,334 (38.3%) were smokers and 31,124 (61.7%) were never smokers. Those with a smoking history of 20 PY or more (≥20 PY smokers), those with a smoking history of less than 20 PY (<20 PY smokers), and never smokers were 18.1%, 20.2%, and 61.7%, respectively, of the study population. Smokers had a higher risk of all-cause mortality compared to never smokers (log-rank test p<0.01). The ARs of smoking were 21.8% (95% confidence interval [CI], 5.7%-37.9%) and 9.0% (95% CI, 6.1%-12.0%) in males and females, respectively. ARs decreased from 24.2% to 19.5% in males and from 9.5% to 4.1% in females between 2007-2010 and 2011-2015. Conclusion: Our study using KNHANES IV-VI data demonstrated that smoking increased the risk of all-cause mortality in a dose-response manner and the ARs of smoking on mortality were 21.8% in males and 9.0% in females during 2007-2015. This suggests that the ARs of smoking on mortality have decreased since around 2010.