• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.6
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• pp.447-454
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• 2018

The purpose of this study was to investigate the influenza vaccination rate and vaccination-related factors in adult diabetics in Korea using the Korean Community Health Survey (KCHS). Data on 228,261 adults aged 19 years and over were derived from the KCHS, which was conducted in 2015. Sociodemographic factors, health behavior, comorbid diseases, and subjective health status were analyzed for their relationships with influenza vaccination by the chi-squared test and multiple logistic analysis. As a result, the level of influenza vaccination rate among adult diabetics in Korea was as low as 62.4%. For those with diabetes, Influenza vaccination was related with age, gender, education level, residency, marital status, occupation, smoking, health screening, and comorbid diseases (p<0.05). In conclusion, in order to increase the influenza vaccination rate among diabetic patients, systematic education and publicity are essential to raise awareness of vaccination. At the same time, the government should support them with their policies such as free vaccination expansion.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.11
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• pp.7589-7598
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• 2015

The objective of this study was to identify the prevalence and risk factors of diabetes according to gender among Korean employees over 30 years from 2007 to 2011 using data from the Korean National Health and Nutrition Examination Survery. Mutiple survey logistic tests were performed using SPSS 19.0. The prevalence of diabetes was higher for men than for women, but the odds ratio was higher women physical employee than men. And the prevalence amd over 50 years, with physical employee, with obesity, with hypertension, with Hyperlipidemia increased in comparison with the respective control group. Considering with this results, we can use as a basal data to control the prevalence of diabetes by both preventing and consistently monitoring these identified risk factors.

• Journal of the Korea Society of Computer and Information
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• v.26 no.1
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• pp.201-208
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• 2021

This study aims to provide the relevant basis upon which prediction of dyslipidemia should be made based on body information. Using the National Health Insurance big data (3,312,971 people) canonical correlation analysis was performed between body information and lipid-profile. Body information included age, height, weight and waist circumference, while the lipid-profile included total cholesterol, triglycerides, HDL cholesterol and LDL cholesterol. As a result, when the waist circumference and the weight are large, triglycerides increase and HDL cholesterol level decreases. In terms of age, weight, waist circumference, and HDL cholesterol, the canonical variates (the degree of influence) were significantly different according to sex. In particular, the canonical variate was dramatically changed around the forties and fifties in women in terms of weight, waist circumference, and HDL cholesterol. The canonical correlation results of the health care big data presented in this study will help construct a predictive model that can evaluate an individual's health status based on body information that can be easily measured in a non-invasive manner.

• Journal of the Korea Convergence Society
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• v.13 no.3
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• pp.133-146
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• 2022

Despite the fact that Internet users around the world watch YouTube every day, very few users accurately recognize the recommendation algorithm for search results, and Google and YouTube are not disclosing it. Researchers tried to explore the undisclosed algorithm of YouTube in a reverse engineering design method, find key factors, and check the logical structure in which media platform operators recommend keyword search results and arrange them on the screen. Therefore, researchers studied the basic content priority factors through several months of discussion and data collection, and tried to reverse engineer the influencing factors based on the recommendation results according to male and female gender among the collected keyword search results. Although researchers' design only analyzed some of the almost infinite level of data uploaded and viewed for more than hundreds of hours every hour, these exploratory attempts will study media platform algorithms in the future, understand the intentions of operators, and protect users. thought it could be done.

• The Journal of Korean Academy of Prosthodontics
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• v.62 no.1
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• pp.1-5
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• 2024

Purpose. To investigate the differences in the frequency of post-fitting denture check-ups based on gender, age, insurance status, denture arch, and type among patients aged 65 and above. Methods. This research analyzed 988 patients from National Health Insurance Service Ilsan Hospital's Department of Prosthodontics, who had denture fittings over the last 10 years. Variables including gender, age, insurance status and type, denture arch, and denture type were assessed. Statistical analyses were performed at a 5% significance level. Results. The study incorporated 988 dentures, revealing a median of 3 check-ups post-fitting. Male patients significantly had more visits than females (P = .017), and those with full metal dentures visited significantly more than those with partial dentures (P = .005). Other variables were not significantly influential on the post-fitting check-up frequency. Conclusion. Within this study's confines, an increase in denture adjustment sessions was observed for male patients and those with full metal dentures.

• Annual Conference of KIPS
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• 2022.05a
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• pp.553-556
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• 2022

이상지질혈증의 발병에 대한 조기 진단 및 관리하는 것은 중요한 문제이다. 이상지질혈증의 진단은 혈액계측 정보 중에서 네 가지 LDL, HDL, TG, 그리고 TC를 이용하여 진단하며, 이상지질혈증 관리를 위해서는 LDL을 추정하는 것이 중요하다. 본 논문에서는 나이, 성별, 그리고 BMI와 같은 신체계측 정보를 학습하여 LDL-콜레스테롤을 예측하기 위한 준지도학습(Semi-supervised learning) 기반 기계학습 방법을 제안한다. 제안 방법은 얕은 학습(Shallow Learning)기반의 MLP(Multi-Layer Perceptron)을 이용하고, 이상지질혈증 진단인자간의 상관관계를 고려하여 신체계측 정보로 예측된 HDL, TG, 그리고 TC을 이용하여 일반적인 기계학습을 이용한 예측방법의 정확도를 개선한다. 즉, 제안방법은 신체계측 정보를 이용하여 혈액계측 정보의 LDL, HDL, TG, 그리고 TC을 각각 예측하고, 신체계측에 혈액계측의 예측 정보를 추가하여 학습한 준지도학습 기반 얕은 네트워크를 설계한다. 실험결과, HDL, TG, 그리고 TC의 혈액예측 정보를 이용한 준지도학습 기반 LDL 예측 정확도는 71.4%로 신체계측 정보만을 이용한 예측 방법의 67.0% 보다 약 4.4% 개선할 수 있음을 확인한다.

• Journal of Korean Ophthalmic Optics Society
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• v.12 no.3
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• pp.89-91
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• 2007

Color vision test was conducted to elementary school students at age of 9 to 13, with total subject number of 598 which live in Gwang Ju area. 325 (54.3%) boys and 273 (45.7%) girls were subjected using Hahn Color Vision test to find out color recognition problems. 1. Ratios of color vision abnomality were 6.25% in 9 year old students, 9.2% in 10 year old students, 8.4% in 12 year old students, 7.8% in 13 year old students, which means 7.9% of the total 598 subjects had color recognition matters. 2. Red-Green dyschromatopsia was 7.8% of the total 598 subjects which includes most of subjects. None of them had green-yellow recognition problem. Full dyschromatopsia had frequency of 0.2%. 3. 10.7% of boys had color vision abnormality, while 10.7% of girls had color vision abnormality, which means that boys have color recognition problems with higher rate than girls.

• Journal of dental hygiene science
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• v.15 no.2
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• pp.145-152
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• 2015

In this study, PASW Statistics ver. 18.0 was used to analyze the correlation between chewing difficulty and osteoarthritis in the population of 8,498 persons aged 50 years and older who had completed the health related questionnaire in the fifth Korea National Health and Nutrition Examination Survey in 2010~2012. The following conclusion was drawn: The distribution of the chewing difficulty status showed that 38.8% of the respondents had chewing difficulty and that there was no significant difference by gender. Older respondents tended to have significantly greater chewing difficulty 34.3% of the respondents aged from 50 to 64 years and 46.4% of those aged 65 years and older, those who had lower levels of education and income, who were smokers, and who had higher levels of depression and stress suffered from significantly greater chewing difficulty. Chewing difficulty and osteoarthritis were correlated with each other: the respondents having chewing difficulty had 1.44 (95% confidence interval [CI], 1.23~1.70) higher prevalence of osteoarthritis than those with no such difficulty. In addition, such correlation was not found in males: the former had 1.36 (95% CI, 0.98~1.88) higher prevalence of osteoarthritis than the latter, which was not statistically significant. Such correlation was found in females: the former had 1.47 (95% CI, 1.22~1.76) higher prevalence of osteoarthritis than the latter, which was statistically significant. Therefore, the chewing difficulty status affected osteoarthritis for females aged 50 years and older. Therefore, the efforts to solve oral health problems through oral hygiene would help prevent osteoarthritis from worsening and manage the condition.

• Journal of Naturopathy
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• v.11 no.1
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• pp.51-61
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• 2022

Background: There was a need to investigate the interest in beauty and consumption sentiment in beauty shops on COVID-19 among beauty customers in their 20s and older in Daejeon Metropolitan City. Purpose: To investigate the degree of interest in beauty and consumption sentiment of beauty shops according to COVID-19 targeting beauty customers. Methods: A survey was conducted targeting beauty customers in their 20s or older in Daejeon. A total of 263 questionnaires were analyzed using the SPSS 27.0 program. Results: Beauty customers' interest in beauty was above average in hair style, makeup, skin care and body shape management, but nail care was below average. In addition, it was found that there were some statistically significant differences or no difference in beauty shop consumer sentiment due to COVID-19 according to gender, marital status, age, and occupation. It was found that there was a positive (+) correlation between interest in beauty and consumption sentiment of beauty shops due to COVID-19. Conclusion: The beauty interest in beauty of the customers in their 20s or older in Daejeon Metropolitan City and the consumption sentiment of beauty shops on COVID-19 outbreak indicated some statistically significant differences depending on gender, marital status, age, and occupation, or seems no difference. Therefore, it is evaluated that the results will serve as basic data for research in this field.

• 한국노년학
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• v.39 no.4
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• pp.959-976
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• 2019

The purpose of this study was to understand socio-demographic factors related to older adults' participation patterns in lifelong education. For the purpose, this study used the raw data of 2017 Survey of the Living Conditions of the Elderly (SLCE) conducted by The Korea Institute for Health and Social Affairs. From the data of 10,073 older adults, their lifelong education participation, participating program types, participating organizations, and participating frequency were analyzed by their sex, age, educational level, household income, the longest job status, and health status. This study found that female, age of 70-74 and 75-79, educational levels of high school and higher, the longest job status of regular employees and unpaid family workers, and decent health status of older adults more participated in lifelong education. According to lifelong education program types, significant differences were found between education groups of middle school/lower and groups of high school/higher and between 1, 2 quintile income groups and 3, 4, 5 quintile income groups. In relation to the participating organizations, groups of 70 years and older, middle school and higher education level, under 3 quintile income, and poor health tended to participate in lifelong education at the elderly welfare center, senior citizens, and elderly classrooms. In terms of participation frequency, high school and college/higher than 0 year of school education, and regular workers than unpaid family workers were more frequently participated in lifelong education. This study showed the inequality in lifelong education participation according to older adults' demographic characteristics; finally, this study suggested necessary policies and academic discussions for future older adults' lifelong education.