• Journal of the Korean Dietetic Association
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• v.30 no.2
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• pp.112-124
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• 2024

This study investigated the factors associated with HINT-8 (Korean health-related quality of life instrument with eight items), including health habits, hand grip strength, chronic disease, chewing function, mental health, and nutrient intake. In this study, the health-related quality of life (HRQoL; HINT-8) was assessed using the data from the 2019 Korea National Health and Nutrition Examination Survey (KNHANES VIII) among Koreans aged over 65, with HINT-8 being evaluated based on the general characteristics. Of the participants from KNHANES VIII, 1,455 subjects were analyzed using SPSS statistics complex samples (Windows ver. 27.0). The HINT-8 score was significantly lower in females and in those aged 75 years or older, lowest educational level, lowest income level, and single households. Logistic regression analysis, adjusted for the general characteristics, revealed a significant association between a lower HINT-8 group and various factors: low aerobic physical activity (OR=1.71, 95% CI=1.25~2.35), low hand grip strength (OR=1.34, 95% CI=1.02~1.78), chewing difficulties (OR=2.17, 95% CI=1.62~2.92), poor self-rated health status (OR=6.11, 95% CI=4.42~8.45), stressful mental status (OR=3.57, 95% CI=2.27~5.63) and poor calcium status (OR=1.45, 95% CI=1.11~1.88). On the other hand, this study could not reveal a significant association between a lower HINT-8 group and factors such as smoking, drinking, chronic disease, and nutrient intake status, except for calcium intake. This study suggests that HINT-8 is associated with aerobic physical activity, hand grip strength, chewing function, mental health, and calcium intake, but not with smoking, drinking, chronic disease, and nutrient intake.

• Journal of muscle and joint health
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• v.28 no.2
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• pp.91-101
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• 2021

Purpose: This study was conducted to identify factors related to osteoporosis prevalence in postmenopausal women. Methods: This study was a secondary analysis research using data from the Eighth Korea National Health and Nutrition Examination Survey (KNHANES VIII-1), 2019, which were downloaded from the KNHANES website. The subjects of this study were 1,791 postmenopausal women who participated in the KNHANES VIII-1, 2019. Data analysis was performed using the IBM SPSS 21.0 program and complex sample design analysis was performed considering factors such as weight, cluster, and strata. Results: Osteoporosis prevalence of in postmenopausal women was 17.5%. Factors related to osteoporosis prevalence were age (65~74 years old, ≥75 years old), house income (low), household type (one-person household), postmenopausal period (10~19 years), drinking (non-drinking). Conclusion: Interventions for osteoporosis prevention and management in postmenopausal women need to focus on women less than 10 years after menopause and one-person household women. Furthermore, it is necessary to expand bone density testing for the early detection of osteoporosis in postmenopausal women.

• Journal of Digital Policy
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• v.1 no.1
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• pp.27-37
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• 2022

The purpose of this study attempted to provide basic data for the safety awareness intervention program by identifying smoking, drinking and safety awareness survey using raw data from the National Health and Nutrition Examination Survey (KNHANES VIII-1, 2019). The self-reported questionnaire was used to assess the gender, age, smoking, drinking, and safety awareness. Descriptive statistics and chi-square test were used for the general characteristics according to gender and the difference between smoking and drinking. positive thinking, emotional expressivity, public speaking anxiety. The SPSS WIN 23.0 version program was used for data analysis. The data were analyzed using descriptive statistics and Chi-square test were used for the general characteristics according to gender and the difference between smoking and drinking. There were significant difference between wearing a seat belt while driving and smoking for life (𝑥²=6581.46, p<.001). Among safety awareness, there was a statistically significant difference between wearing a seat belt while driving and lifelong drinking experience (𝑥²=6421.29, p<.001). It is considered that this can be used to prepare a customized smoking prevention education and alcohol prevention education intervention program to improve safety awareness.

• The Journal of Korean Society for School & Community Health Education
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• v.24 no.4
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• pp.51-60
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• 2023

Objectives: This study attempted to examine the factors that affect the national health checkup rate of the elderly, analyze the impact of these factors, and discuss countermeasures to problems that may arise based on this. Methods: This study used the '8th National Health and Nutrition Examination Survey (2019-2021)', a nationwide survey, as the main data. The subjects of the study are seniors aged 65 years or older, the dependent variable is whether or not they underwent a national health checkup, and the independent variables are gender, marital status, residence, education level, income level, economic activity, type of medical coverage, private insurance subscription, subjective health, High blood pressure, diabetes, depression, stress, and weight change were selected. The statistical analysis package for data analysis is SPSS ver. 27.0 was used, and a p value of less than 0.05 was considered significant. Results: Of the 2,806 seniors aged 65 years or older, 2,074 (73.9%) took the national health screening over the past two years. In terms of marital status, married was 1.451 times higher than single (p<0.001), and in terms of residence, myeon was 1.240 times higher than dong (p<0.01). In terms of education level, college graduates were 2.053 times higher than elementary school graduates (p<0.001), and in terms of economic activity, the employed were 1.325 times higher than the unemployed (p<0.01). Private insurance was 1.883 times higher than non-subscription (p<0.001), weight change was 1.234 times higher for change than no change (p<0.05), and current smoking rate was 2.003 times higher for non-smokers than for former smokers. It was high (p<0.001). Conclusion: In conclusion, if differentiated promotion and health education are strengthened for the elderly who cannot participate in the national health screening, the participation rate of the elderly in the national health screening is expected to increase.

• Journal of Convergence for Information Technology
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• v.12 no.2
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• pp.94-106
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• 2022

This study was attempted to investigate relationship between level of frailty and sleep duration in the Korean older adults using data from the 8th Korea National Health and Nutrition Examination Survey(KNHANES VIII-1, 2019). The subjects were 1,690, complex sample frequency, descriptive statistics, cross and logistic regression analysis were performed using SPSS program. As a main result, sleep duration simultaneously adjusted for general, health behavior and disease characteristics did not show significant relationship between frail level, but 'not recommended' sleep duration is significantly decreased 70~74 years old, significantly increased lower level of education, lower level of income, and a lot of perceived stress. Finally, personal and social efforts are required to prevent frailty, improve sleep duration of older adults.

• Communications for Statistical Applications and Methods
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• v.29 no.4
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• pp.413-420
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• 2022

In this study we adapt discrete weibull regression model for clustered count data. Discrete weibull regression model has an attractive feature that it can handle both under and over dispersion data. We analyzed the eighth Korean National Health and Nutrition Examination Survey (KNHANES VIII) from 2019 to assess the factors influencing the 1 month outpatient stay in 17 different regions. We compared the results using clustered discrete Weibull regression model with those of Poisson, negative binomial, generalized Poisson and Conway-maxwell Poisson regression models, which are widely used in count data analyses. The results show that the clustered discrete Weibull regression model using random intercept model gives the best fit. Simulation study is also held to investigate the performance of the clustered discrete weibull model under various dispersion setting and zero inflated probabilities. In this paper it is shown that using a random effect with discrete Weibull regression can flexibly model count data with various dispersion without the risk of making wrong assumptions about the data dispersion.

• Korean Journal of Community Nutrition
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• v.29 no.1
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• pp.65-80
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• 2024

Objectives: This study aims to compare changes in physical factors, health behaviors, eating habits, and nutritional intake among Korean male and female adults over a period of three years (2019-2021) before and after the outbreak of coronavirus disease 2019 (COVID-19). Methods: This study utilized raw data from the 8th Korea National Health and Nutrition Examination Survey (2019-2021). The participants in this study included 6,235 individuals in 2019, 5,865 individuals in 2020, and 5,635 individuals in 2021. Individuals whose daily energy intake was less than 500 kcal or exceeded 5,000 kcal were excluded from the study. Results: In comparison to 2019, overweight/obesity rates, weight, waist circumference, weekend sleep hours, and resistance exercise days/week increased in both male and female during the COVID-19 pandemic. Regarding eating habits, the proportions of people skipping breakfast, not eating out, consuming health supplements, and recognizing nutritional labels increased in 2020 and 2021, whereas the rate of skipping dinner decreased. Total energy intake has continued to decrease for the two years since 2019. A comparison of nutrient intake per 1,000 kcal before and after the outbreak of COVID-19 revealed that intake of nutrients, including protein, phosphorus, iron, vitamin A, riboflavin, and niacin increased, while folic acid intake decreased. In male, calcium, phosphorus, riboflavin, and niacin intakes increased, whereas iron, vitamin C, and folic acid intakes decreased. In female, phosphorus, iron, vitamin A, and riboflavin intake increased significantly, while protein and niacin intake decreased significantly. Conclusions: After COVID-19, the obesity rate, breakfast skipping rate, health supplement intake, and nutritional label use increased, while the frequency of eating out, dinner skipping rate, and total energy intake decreased. These environmental changes and social factors highlight the need for nutritional education and management to ensure proper nutritional intake and reduce obesity rates in the post-COVID-19 era.