• Journal of Korean Dental Hygiene Science
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• v.5 no.2
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• pp.45-52
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• 2022

Background: This study was aimed at obtaining basic data necessary to develop alternatives to improve the oral health-related quality of life of the elderly by investigating dry mouth and oral health-related quality of life of patients visiting the N Dental Clinic in Jeollanam-do. Methods: From November 2021 to September 2022, data were collected using a self-report survey of adults aged 50 years or older. Of the 300 questionnaires collected, 280 had insufficient data because of missing entries. Results: Analyzing the satisfaction level of oral health-related quality of life according to the participants' medical use and subjective oral health recognition, "what do you think your oral health is like" showed significant differences (p< 0.001). Dry mouth and satisfaction were positively correlated with the oral health-related quality of life (β=0.42, p= 0.00). Factors affecting the quality of life related to oral health were "total score of oral dryness" (β= 0.395) and "what do you think your oral health is like" (β=0.224). Conclusion: The results of this study suggested that systematic intervention, such as oral health programs, suitable for age may improve the oral health-related quality of life.

• Safety and Health at Work
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• v.14 no.3
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• pp.340-346
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• 2023

Background: Truck driving is a highly sedentary occupation that places workers at risk for chronic health conditions, such as obesity and high blood pressure. The primary purpose of this study was to objectively describe truck drivers' typical physical activity (PA) patterns. Methods: We used ~7-10-day baseline PA actigraphy data samples from drivers in the Safety & Health Involvement For Truckers (SHIFT) study (n = 394). Driver PA patterns (e.g., average number of ≥10 minute Freedson bouts per week, time in bouts, and common days/times for PA) were summarized with descriptive analyses. We also compared objective accelerometer data to self-reports. Results: Drivers' weekly PA averaged 14.4 minutes (SD = 37.0), and most PA occurred between 5-6 pm on Tuesdays and Wednesdays. Drivers overestimated self-reported weekly exercise by over 60 min/week compared to accelerometer data. Conclusion: Our results suggest that objective PA assessment may be warranted over self-report when possible, and timing may be key in future PA intervention work with truck drivers.

• Journal of Wellbeing Management and Applied Psychology
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• v.7 no.3
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• pp.55-65
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• 2024

Purpose: This study aims to analyze the status and realities of mental health counseling experiences among adults using the 2022 National Health and Nutrition Examination Survey(NHNES) data. The goal is to provide policy recommendations for enhancing mental health services. Research Methods: Utilizing secondary data analysis of the 2022 survey conducted by the Korea Disease Control and Prevention Agency(KDCPA), this study applied statistical techniques including descriptive statistics, chi-square tests, and logistic regression to evaluate counseling experiences based on age, gender, residential area, and income levels. Results: The study included 5,256 participants, with the highest proportion being those aged 60-69 (21.3%) and the lowest aged 19-29 (11.7%). Females constituted 56.5% of the sample, while males made up 43.5%. Older adults (60-69 and 70+) had significantly lower counseling experience rates compared to younger adults (19-29). Females had higher counseling experience rates than males, indicating gender differences in mental health service utilization. Urban residents had higher counseling experience rates than rural residents, suggesting better access to mental health services in urban areas. Lower income levels were associated with higher counseling experience rates, highlighting the need for targeted mental health support for economically disadvantaged groups. Conclusions: The study recommends developing age-specific, gender-sensitive, and regionally tailored mental health programs to improve accessibility and effectiveness. Additionally, policies should focus on enhancing mental health support for low-income individuals to address the socioeconomic disparities in mental health service utilization.

• Journal of Korean Academy of Nursing
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• v.26 no.2
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• pp.320-336
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• 1996

Health promoting behaviors of an individual are affected by various variables. Recently, there has been a growing concern over important health problems of the middle aged women. Physiological changes in the middle aged women and their responsibility for family care can result in physical and psychological burden experienced by middle aged women. This study was designed to test Pender's model and thus purpose a model that explains health promoting behaviors among middle-aged women in Korea. The hypothetical model was developed based on the Pender's health promoting model and the findings from past studies on women's health. Data were collected by self-reported questionnaires from 863 women living in Seoul, between 20th, April and 15th, July 1995. Data were analyzed using descriptive statistics and correlation analysis. The Linear Structural Relationship(LISREL) modeling process was used to find the best fit model which assumes causal relationships among variables. The results are as follows : 1. The Overall fit of the hypothetical model to the data was good expect chi-square value（GFI＝.96, AGFI＝.91, RMR＝.04）. 2. Paths of the model were modified by considering both its theoretical implication and statistical significance of the parameter estimates. Compared to the hypothetical model, the revised model has become parsimonious and had a better fit to the data expect chi-square value（GFI＝.95, AFGI＝ .92. RMR＝.04）. 3. Some of modifying factors, especially age, occupation, educational levels and body mass index (BMI) are revealed significant effects on health promoting behaviors. 4. Some of cognitive-perceptual factors, especially internal health locus of control, self-efficacy and perceptive health status are revealed significant effects on health promoting behaviors. 5. All predictive variables of health promoting behaviors, especially age, occupation, educational levels, body mass index(BMI), internal health locus of control, self-efficacy ＆ perceptive health status are explained 20.0％ of the total variance in the model.

• Health Policy and Management
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• v.13 no.4
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• pp.48-65
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• 2003

Detailed analyses of total health expenditure and its sub­categories are essential for the evidence­based health policy(EBHP). These analyses, again, should be based on timely and reliable data that are comparable across countries. The System of Health Accounts (SHA), published by the OECD in 2000, provides an integrated system of comprehensive and internationally comparable accounts. The author has implemented the SHA manual into Korean situation, and examined overall expenditure estimate and its basic functional breakdown following the manual. This study explains how pharmaceutical expenditure is estimated. The results are, then, analyzed particularly from the international perspective. Both administrative data in Statistical Yearbooks (National Health Insurance, Medical Aid, Industrial Accident Compensation Insurance) and survey data on Health and Nutrition are used for the estimation. Per capita pharmaceutical expenditure in Korea (183 US$ PPPs) was far less than the OECD average (308 US$ PPPs) in 2001, but pharmaceutical expenditure share in total health expenditure (20.3％) was higher than the average (16.7％). This can be explained by the fact that there is a statistically significant correlation between pharmaceutical expenditure share and per capita GDP of each country. Korean people follow the tendency of relatively low­income countries to spend less than OECD average for health care, but follow again their tendency to spend more on drugs than on other health care services. In consideration of results and analysis as above, per capita pharmaceutical expenditure in Korea is expected to grow in the future, but the growth rate of the pharmaceutical expenditure is expected to be less than that of overall health expenditure.

• Journal of The Korean Society of Integrative Medicine
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• v.8 no.4
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• pp.231-239
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• 2020

Purpose: The purpose of this study is to identify the relationship of between social support, emotional intelligence, depression, and health promotion behaviors of nursing college students, and to establish basic data for the development of a nursing intervention program for health promotion behaviors. Methods: This descriptive correlation study examined the correlation between the social support, emotional intelligence, depression, and health promotion behaviors of nursing students. 203 nursing college students located in J city participated in the study from November to December 2019. The collected data was analyzed used the SPSS WIN 22.0 program. The general characteristics of the subjects were analyzed by frequency and percentage, and health promoting behavior, social support, emotional intelligence, and depression were analyzed using mean and standard deviation. In this study, the correlation between the subjects' social support, emotional intelligence, depression, and health promotion behaviors was analyzed using Pearson correlation coefficient. Results: The study results showed that the subjects' health promotion behaviors averaged 2.22±0.38 points out of 4d social support averaged 3.83±0.59 points out of 5, emotional intelligence averaged 4.53±0.73 out of 7, and depression averaged 0.49±0.42 points out of 2 points. The analysis results of correlation between the subject's health promotion behaviors, social support, emotional intelligence, and depression showed that health promotion behaviors and social support (r=.287, p<.001), health promotion behaviors and emotional intelligence (r=.450, p<.001), and social support and emotional intelligence (r=.450, p<.001) had a positive correlation, but depression and health promotion behaviors (r=-.453, p<.001), depression and social support (r=-.259, p<.001), and depression and emotional intelligence (r=-.322, p<.001) had a negative correlation. Conclusion: This study will provide the basic data for a follow-up researches on the social support, emotional intelligence, depression and health promotion behaviors of nursing college students. It is expected to serve as the basic data for developing nursing intervention programs for health promotion behaviors in the future.

• Journal of Environmental Health Sciences
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• v.47 no.3
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• pp.227-244
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• 2021

Objectives: The Korean National Environmental Health Survey provides representative biomonitoring data for environmental pollutants in South Korea. Over the last decade, there have been various studies published using this data. In this study, we aimed to provide information and implications by reviewing each study. Methods: We searched comprehensive electronic databases from PubMed, Google Scholar, and Naver Academic database using the key words 'Korean National Environmental Health Survey' and 'KoNEHS' through March 2021. A total of 57 studies were selected after reviewing the relevance of the data. Results: The most frequently studied pollutants were heavy metals (10), Cotinine (8), Bisphenol A (7), and Phthalates (6), in that order. In particular, Phthalates, Bisphenol A, and Parabens were often studied together (6). A decline in urinary cotinine and heavy metals in the body was shown over time among studies on exposure association. It was demonstrated that Phthalates and Bisphenol A were significantly related to obesity and diabetes from the studies of health impacts. Cross-section study design, spot urine, and insufficient health status information were mostly reported as limitations of the data. Conclusion: Since research has been focused on adults, further investigations of children and adolescents are required. In this regard, it is necessary to maintain the consistency of the data structure and provide integrated weights for all ages. In addition, it would allow the measurement of several environmental pollutants by considering subsample design. Lastly, integrated studies with multi-cycles and the health effects from co-exposure to multiple chemicals would be expected to provide important knowledge.

• Journal of the Korea Society of Computer and Information
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• v.25 no.10
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• pp.59-67
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• 2020

With the development of wearable devices, individuals' health status can be checked in real time and risks can be predicted. For example, an application has been developed to detect an emergency situation of a patient with heart disease and contact a guardian through analysis of health data such as heart rate and electrocardiogram. However, health data is seriously damaging when it is leaked as it relates to life. Therefore, a method to protect personal information is essential in collecting health data, and this study proposes a method of collecting data while protecting the personal information of the data owner through a LDP(Local Differential Privacy). The previous study introduced a technique of transmitting feature point data rather than all data to a data collector as an algorithm for searching for fixed k feature points. Next, this study will explain how to improve the performance by up to 75% using an algorithm that finds the optimal number of feature points k.

• Journal of Convergence for Information Technology
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• v.9 no.9
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• pp.195-200
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• 2019

The purpose of this study is to analyze the characteristics of National Health Insurance claim data and to construct a pilot medical episode data considering it. In this study, the trends of respiratory disease (ICD10: J00-J99) cardiovascular disease (ICD10: I00-I99) from the day of onset of treatment to re-admission after admission were confirmed in Seoul, and the largest decrease was observed when the no-treatment period was 0 day. The data reduction rate when the no-treatment period is 0 day is judged to be due to the monthly separation claim of the health insurance claim data. Also, the result that there is a tendency of monthly separation request according to the type of medical treatment. Through this study, we constructed epidemic data for the pilot medical treatment considering the characteristics of the claim data of health insurance, and based on this, it can be used as a data processing method for calculating basic epidemiological information.

• Women's Health Nursing
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• v.24 no.2
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• pp.196-208
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• 2018

Purpose: To identify the characteristics and health-care needs of high-risk pregnant women in maternal-fetal intensive care units (MFICU). Methods: A mixed-methods design was adopted. Data were collected from 78 high-risk pregnant women admitted to the MFICU. Qualitative data included ten participants' experiences with hospitalization and childbirth, which were analyzed using mixed content analysis. Quantitative data were analyzed using at-test and one-way ANOVA testing. Results: The average score for pregnancy and childbirth health-care needs was 3.54 points. Average score by area was before-admission health care (3.70), health care of baby (3.67), health of childbirth (3.61), postpartum health (3.51), and pregnancy health care during hospitalization (3.48). Qualitative results showed diverse feelings and experiences of high-risk pregnant women and their need for health care, which was expressed in three themes and 11 sub-themes. Conclusion: Nurses should recognize high-risk mothers' feelings and needs for pregnancy and childbirth-focused health care to help patients accept their vulnerability and cope positively.