• Journal of Digital Convergence
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• v.17 no.1
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• pp.365-373
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• 2019

This study was conducted to investigate the factors affecting the quality of life of elderly who live alone according to gender. The participants in this study were 959 elderly living alone from a total of 22,948 individuals studied in the 2013-2015 Korean national health and nutrition examination survey. IBM SPSS 23.0 was used to analyze the data. There were significant differences between the two groups in age, level of education, and amount of calorie intake. Economic status, presence of arthritis, presence of restrict activity, subjective health status had an influence on quality of life in men with an explanatory power of 50.5% (p < .001). Presence of back pain, subjective health status, suicidal ideation had an influence on quality of life in women with an explanatory power of 41.4% (p < .001). Therefore, in order to improve the quality of life of elderly living alone, it is necessary to provide appropriate intervention depending on gender.

• Journal of the Korea Convergence Society
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• v.10 no.5
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• pp.43-50
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• 2019

The purpose of this study was investigate the association between birth age related health factors and metabolic syndrome in women. The data of 6743 women from Korean National Health and Nutrition Examination Survey(2012-2014 KNHANES) were analyzed. Dependent variable was metabolic syndrom related variables were collected. Menopause status was associated with metabolic syndrome [odds ratio of with post-menopause 1.44(95% CI: 1.09-1.90)]. First birth age was associated with metabolic syndrome [odds ratio of women with 26-30 year : 0.81 (95% CI: 0.68-0.98); odds ratio of women 31 year over: 0.62(95% CI: 0.45-0.87)] after adjusted for age, region, household income, smoking, occupation. In conclusion, the metabolic syndrome is closely related to menopause and first birth age, and will be used as a basic data in developing future educational programs for women.

• Health Policy and Management
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• v.31 no.1
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• pp.56-64
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• 2021

Background: Despite the high life expectancy, the subjective health status of the elderly people in Korea is reported to be the lowest as compared to other age groups. The purpose of the conducted study was to identify the factors related to the subjective health status of elderly people aged over 65 in Korea. Methods: This study used data from the 7th Korea National Health and Nutrition Examination Survey (2016-2017) of the Korea Disease Control and Prevention Agency. The subjects of the study were selected to be 2,904 elderly people aged over 65. The factors that were selected related to subjective health status were socio-demographics, perceived diseases, health behaviors, and mental health. Results: As a result of the examination of the subjective health status according to the characteristics of the subjects of study, the subjective health status was high in males (β=0.144, p=0.011), urban dwellers (β=0.107, p=0.015), employed persons (β=0.139, p=0.001), college graduates (β=0.322, p<0.001), persons with high household income (β=0.226, p<0.001), persons without chronic disease, nonsmokers (β=0.146, p=0.009), drinkers (β=0.111, p=0.003), persons who practiced aerobic physical activity (β=0.150, p<0.001), persons without depression (β=0.286, p<0.001), and persons who rarely had stress (β=0.837, p<0.001). Conclusion: More attention should be paid to those with low subjective health to improve health for elderly people. Expanding policy supports are required for elderly people with low socioeconomic status, chronic disease or depression, or unhealthy behaviors (smoking or lack of physical activity).

• Health Policy and Management
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• v.30 no.4
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• pp.505-512
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• 2020

Background: In monitoring exposure to environmental smoke (ETS), biomarkers can overcome the subjectivity and inaccuracy of self-reporting measurements, and have the advantage of reflecting ETS exposure in all places. This study aims to evaluate the effectiveness of ETS exposure measurement using biomarkers such as urine cotinine. Methods: This study used the Korea National Health and Nutrition Survey data from 2009 to 2018. A total of 28,574 non-smokers with urine cotinine data were selected for the study. The cotinine concentration and ETS exposure rate using urine cotinine was estimated and then compared with the self-reporting measurements. The degree of agreement among measurements of ETS exposure was confirmed. Results: As a result of measuring ETS exposure with urine cotinine, 23,594 (83.8%) out of 28,574 subjects were classified as to exposure groups. This estimate differs significantly from measurements made by self-reporting. In addition, the average concentration of cotinine in non-smokers has decreased to a 10th level over the past 10 years. Based on the biomarker, the sensitivity of the self-reporting was 8.5%-29.0%, the specificity was 16.4%-19.5%, and the kappa value was 2.0%-5.8%. Conclusion: The findings of our study show that self-reporting measurement does not well reflect the extent to which non-smoker's exposure to smoking materials. Whereas cotinine concentration has decreased significantly over the past 10 years, the ETS exposure rate has not reduced. It strongly suggests the need for intervention in the group of non-smokers exposed to low concentrations of smoke. Therefore, an assessment using biomarkers such as cotinine-based measurement should be made in the Health Plan 2030.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.51-58
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• 2021

Women are reported to have increased risk of metabolic syndrome after menopause. Nevertheless, there is a lack of study on the convergent association between breast-feeding, bone mineral density(BMD) and metabolic syndrome due to women's childbirth. In this study, the data of 939 elderly women using raw data from the fifth Korean National Health and Nutrition Examination Survey(KNHANES V-1 and 2) in 2010 and 2011 were analyzed. The correlation between breast-feeding children, BMD and metabolic syndrome was analyzed by dividing them into three groups based on the number of breast-feeding children. As a result of the analysis, no specific association was found between risk factors of metabolic syndrome and BMD according to the increase in the number of breast-feeding children after adjustment for confounders. However, elderly women with a large number of breast-feeding children showed a significant association with more risk factors of metabolic syndrome. These findings can be used as a basic material for the prevention and diagnosis of metabolic syndrome and health care in elderly women.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.611-619
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• 2022

This study utilized the data from 2017, 2019 Korean National Health and Nutrition Survey to analyze the factors influencing depression and suicidal ideation among single-person households. For the analysis, demographic and economic variables as well as health status/behavior variables were considered. Activity restriction (OR: 4.753, p-value: <.0001) and smoking status (OR: 2.013, p-value: 0.044) were significantly associated with depression, and in terms of suicidal ideation, household income (OR: 3.526, p-value: 0.043), subjective health status (OR: 2.945, p-value: 0.007), activity restriction (OR: 2.263, p-value: 0.003) and smoking status (OR: 2.000, p-value: 0.023) showed significant association. In this regard, single-person households are likely to experience psychological angst, and further experience mental problems due to socio-economic and physical crisis. Therefore, it is necessary to establish a social network system in the community to detect those in need and provide appropriate interventions to prevent harmful outcomes.

• Journal of muscle and joint health
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• v.29 no.3
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• pp.165-175
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• 2022

Purpose: This study was conducted to identify differences in health behavior, health-related quality of life, and depression between adult men and women during the COVID-19 pandemic. Methods: Data were obtained from 1,927 men and 2,314 women aged 19 to 64 who participated in the 7th Korea National Health and Nutrition Survey in 2020. Data were analyzed using complex sample x² test, complex sample general linear model, and complex sample logistic regression. Results: During the pandemic, men drank more alcohol (OR=2.34, 95% CI: 1.89~2.91) and smoked more (OR=7.89, 95% CI: 6.16~10.09) than women. In addition, men were 2.45 times more exposed to second-hand smoke at the workplace (95% CI: 1.78~3.37) and 1.4 times more exposed in public places (95% CI: 1.12~1.77). The rate of muscle exercise was higher among men than women (OR=2.09, 95% CI: 1.76~2.49). No difference in health-related quality of life was observed between men and women (t=0.17, p=.78), but women had higher depression scores (t=-3.14, p=.002). Conclusion: Customized sex-specific interventions should be developed during the COVID-19 pandemic. This kind of infectious disease disaster requires plans designed to reduce alcohol intake and smoking among men and interventions aimed at increasing muscle exercise among women. Strategies should also be formulated to reduce depression among women.

• Journal of the Korea Society of Computer and Information
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• v.27 no.12
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• pp.51-58
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• 2022

In this paper, we propose a decision tree-based machine learning model that leads to food exchange table renewal by classifying food groups through machine learning for existing food and food data found by web crawling. The food exchange table is the standard for food exchange intake when composing a diet such as diet and diet, as well as patients who need nutritional management. The food exchange table, which is the standard for the composition of the diet, takes a lot of manpower and time in the process of revision through the National Health and Nutrition Survey, making it difficult to quickly reflect food changes according to new foods or trends. Since the proposed technique classifies newly added foods based on the existing food group, it is possible to organize a rapid food exchange table reflecting the trend of food. As a result of classifying food into the proposed model in the study, the accuracy of the food group in the food exchange table was 97.45%, so this food classification model is expected to be highly utilized for the composition of a diet that suits your taste in hospitals and nursing homes.

• Journal of Industrial Convergence
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• v.21 no.1
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• pp.193-200
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• 2023

This study aims to investigated the status of perceived health status, subjective body recognition, and weight change according to age. In addition, the main factors of interest of middle-aged and elderly people were analyzed. This is a secondary data analysis study using data from the 7th Korea National Health and Nutrition Examination Survey(KNHANES VIII-3, 2016-2018), Korea Centers for Disease Control and Prevention. The data were analyzed the data using IBM SPSS 21.0 program. Frequency analysis and chi-square test method was conducted. The significance level was set at p <.01. As a result of the analysis, subjective body recognition and perceived health status were identified to have a statistically significant positive relationship (r=0.256, p<.01). Perceived health status and weight change measured for a year also showed a statistically significant positive relationship (r=0.303, p<.01). Therefore, it is anticipated that the findings of this study are used as basic data for seeking ways for better health, quality of life, and well-being, as the study examines subjective health status and various variables applicable to middle-aged people.

• Journal of muscle and joint health
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• v.30 no.3
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• pp.179-188
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• 2023

Purpose: This study was conducted to investigate the prevalence and related factors of metabolic syndrome in postmenopausal adult women in South Korea. Methods: Data of 678 postmenopausal adult women aged 19 to 64 were collected from the Eighth Korea National Health and Nutrition Examination Survey in 2021 and analyzed by a complex sampling design using SPSS 20.1. Results: The prevalence of metabolic syndrome in postmenopausal adult women was 25.8%. The prevalence was 1.93 times (confidence interval [CI]=1.15~3.25, p=.014) higher for high school graduates, 2.55 times (CI=1.33~4.91, p=.005) higher for middle school graduates, and 2.90 times (CI=1.36~6.15, p=.006) higher for elementary school graduates, compared to college graduates. It was found that artificial menopausal women had 2.74 times (CI=1.18~6.38, p=.020) higher prevalence than natural menopausal women. In addition, women who perceived their health as bad were 1.90 times (CI=1.14~3.16, p=.014) higher than women who perceived their health as good, and women who did not muscle exercise more than twice a week had 1.87 times (CI=1.05~3.34, p=.034) higher prevalence than women who did muscle exercise. Conclusion: Therefore, in order to effectively prevent and manage metabolic syndrome in postmenopausal adult women, a focus must be placed on vulnerable groups to manage these factors.