• Health Policy and Management
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• v.33 no.3
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• pp.264-272
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• 2023

Background: Private health insurance supplements the coverage of national health insurance in Korea. In this situation, the subject of the study is to identify the healthcare utilization of people with physical and mental illnesses according to private health insurance. Methods: This study used data from the Korea Health Panel Survey 2018. The study population consisted of 813 individuals with physical and mental illnesses (PMI). Multiple logistic regression analysis and binominal logistic regression analysis were conducted about the utilization of emergency, inpatient, and outpatient medical services of people with PMI depending on enrollment in private health insurance (PHI). Results: The results of this study indicated that individuals with PHI utilized emergency and outpatient medical services less frequently compared to those without PHI. Conversely, having PHI was associated with a higher utilization of inpatient medical services compared to not having PHI. Binomial logistic regression analysis revealed that individuals with PMI who had PHI exhibited a higher frequency of visits to emergency and outpatient medical services compared to those without PHI. However, the significance of this trend was not observed in the case of emergency medical services. On the other hand, individuals with PMI who had PHI showed a lower frequency of visits to inpatient medical services compared to those without PHI. Conclusion: In conclusion, there was a significant relationship between having PHI and the utilization of medical services in people with PMI. There is a need for a follow-up study considering the type of mental illnesses, length of stay, and health outcome of people with PMI depending on having PHI.

• Korean Journal of Community Nutrition
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• v.25 no.3
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• pp.226-235
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• 2020

Objectives: Decreasing muscle strength in old age has become a significant health problem because it increases the risk of falls or fractures and transfers to other diseases. The precise role of dietary protein intake in preventing or reducing muscle weakness is unclear. This study examined the relationship between handgrip strength and protein intake in Korean female elderly. Methods: This was a cross-sectional study that used data from the Seventh Korean National Health and Nutrition Examination Surveys (KNHANES) on female subjects aged 65 years and older. Low handgrip strength (LHGS) was defined as a handgrip strength below than 18 kg. Dietary intake data were obtained using the 1-day 24-hour recall method. Multiple regression was performed to test whether there is an independent relationship between the grip strength and protein intake, and the association between protein intake and LHGS was confirmed through multiple logistic regression. Results: The mean age of the 2,083 elderly females was 73.3 ± 0.1 years, and the prevalence of LHGS was 35% (n=734). Elderly women with an LHGS consumed less energy, total protein, and animal-based protein than those in the normal group. A multiple regression analysis after adjusting for covariate revealed a significant positive association between the handgrip strength and energy, protein, and animal-based protein intake. Multiple logistic regression analysis showed that the odds ratio (OR) of LHGS in female elderly with the highest quartiles of consumption of energy [OR, 0.65; 95% confidence interval (CI), 0.43-0.82; P for trend=0.004], and animal-based protein [OR, 0.59; CI, 0.40-0.87; P for trend=0.037] were significantly lower than those in the lowest quartiles. Conclusions: The energy intake and animal-based protein intake were negatively associated with the LHGS. These results suggest that adequate energy intake and protein intake, particularly those from animal-based sources, for elderly women in Korea are beneficial in lowering the risk of LHGS.

• Korean Journal of Health Education and Promotion
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• v.32 no.2
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• pp.53-63
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• 2015

Objectives: The purpose of this study was to investigate association of depressive symptom, fatalism with selected health behaviors among people aged 50-69 with no physical limitation in Seoul. Methods: In 2012, data were collected using a household based interview survey in Seoul. One person in each selected household aged between 50 and 69 was selected and responded. Data analysis was based on 1,190 subjects who answered they do not have any physical activity limitation. Results: Multiple logistic regression analysis showed significant association among variables including perceived health, depressive symptom and fatalism scores on some health behaviors. Multiple regression analysis showed that selected health risk behaviors(current smoking, monthly alcohol consumption, no regular health exam in two years) were significantly associated with depressive symptom and fatality scores in addition to demographic variables. The final regression model's adjusted R square was about 0.235. Conclusion: Demographic variables such as gender, age and socioeconomic status were significant variables in health behaviors and these behavioral factors were associated with perceived health, depressive symptom and fatalistic views. As a conclusion, depressive symptom and fatalism should be monitored and intervened in health education practice.

• Journal of the Korea Society for Simulation
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• v.23 no.4
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• pp.31-39
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• 2014

Seasonal influenza epidemics cause 3 to 5 millions severe illness and 250,000 to 500,000 deaths worldwide each year. To prepare better controls on severe influenza epidemics, many studies have been proposed to achieve near real-time surveillance of the spread of influenza. Korea CDC publishes clinical data of influenza epidemics on a weekly basis typically with a 1-2-week reporting lag. To provide faster detection of epidemics, recently approaches using unofficial data such as news reports, social media, and search queries are suggested. Collection of such data is cheap in cost and is realized in near real-time. This research aims to develop regression models for early detecting the outbreak of the seasonal influenza epidemics in Korea with keyword query information provided from the Naver (Korean representative portal site) trend services for PC and mobile device. We selected 20 key words likely to have strong correlations with influenza-like illness (ILI) based on literature review and proposed a logistic regression model and a multiple regression model to predict the outbreak of ILI. With respect of model fitness, the multiple regression model shows better results than logistic regression model. Also we find that a mobile-based regression model is better than PC-based regression model in estimating ILI percentages.

• Korean Journal of Exercise Nutrition
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• v.14 no.2
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• pp.81-86
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• 2010

The purpose of this study was to identify the factors associated with child's Body Mass Index (BMI) and physical activity. The participants (n = 133) were Korean juveniles (3^rd and 4^th graders) and their parents. They completed a questionnaire packet including the SPARK (Sports, Play, and Active Recreation for Kids) survey and the parent equivalent survey. Correlation, multiple linear regression and binary logistic regression analyses were applied to identify the association between child's BMI and 10 factors of SPARK as predict or variables. 25.6% of the participants were classified as overweight (21.1%) or obesity (4.5%). 3 parental factors including mother's BMI and frequency of mother's and father's physical activity were identified as significant predictors of children's BMI. The 10 variables accounted for 28% of the variance (p<.01) in the linear regression model. These results provide insight into parental factors which are related to a child's BMI and physical activity. Parental role modeling which refers to parents' efforts to model an active lifestyle for children plays an important role.

• Journal of Environmental Health Sciences
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• v.28 no.3
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• pp.72-76
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• 2002

This study aims to explore the importance of job stress for hospital employees and psychosocial risk factors of their job stress. 1,890 survey questionnaires collected from 14 hospitals are used for the analysis. The study results shows that stress is the most important risk factor perceived by hospital workers. Also stress-related symptoms and diseases are perceived to occur most frequently among hospital employees. The multiple logistic regression analysis shows age, working hours, shiftwork, job demand, decision-latitude and social support from supervisor and colleagues affect stress level of hospital employees.

• Communications for Statistical Applications and Methods
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• v.28 no.2
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• pp.135-150
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• 2021

We propose principal differential analysis based classification methods. Computations of squared multiple correlation function (RSQ) and principal differential analysis (PDA) scores are reviewed; in addition, we combine principal differential analysis results with the logistic regression for binary classification. In the numerical study, we compare the principal differential analysis based classification methods with functional principal component analysis based classification. Various scenarios are considered in a simulation study, and principal differential analysis based classification methods classify the functional data well. Gene expression data is considered for real data analysis. We observe that the PDA score based method also performs well.

• Journal of Korean society of Dental Hygiene
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• v.18 no.1
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• pp.115-124
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• 2018

Objectives: The purpose of this study was to investigate the correlation between soft drink consumption and subjective oral symptoms in Korean adolescents. Methods: Data of 65,528 adolescents were derived from the twelfth Korea youth risk behavior web-based survey, which was conducted from 1st June 2016 to 30th June 2016. Sociodemographic factors, dietary habit, and oral health behavior were collected as independent variables. The subjective oral symptoms were used as a dependent variable. The chi-square test and logistic regression analysis were performed to identify the correlation between dental caries and the other variables. Results: A multiple logistic regression analysis revealed that subjective oral symptoms were correlated with sex, age, subjective economic status, soft drink consumption, sweet drink consumption, tooth brushing frequency and dental sealant experience. Conclusions: Since the intake of soft drink adversely effects subjectively perceived oral symptoms in Korean adolescents, oral health education should include information on the pH levels of food and beverages including carbonated drinks, the effects of sugar on the teeth, and precautions to preventing tooth damage.

• Journal of Korean society of Dental Hygiene
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• v.20 no.1
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• pp.19-27
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• 2020

Objectives: This study aimed to analyze the association between self-assessed periodontal symptoms and glycated hemoglobin levels in patients with type 2 diabetes. Methods: This cross-sectional study involved 156 patients with type 2 diabetes who were aged 50 years or older. Structured questionnaires were used to investigate the self-assessed periodontal symptoms of the patients. The glycated hemoglobin test was performed to evaluate their long-term blood glycemic control. Chi-square test and logistic multiple regression were performed to analyze the factors associated with glycated hemoglobin levels. Results: Compared with patients aged 65 years and above, more patients aged 64 years and below showed poor glycemic control (p=0.020). Further, compared with patients without self-perceived gingival bleeding and halitosis, more patients with these two conditions showed poor glycemic control (p<0.05). Compared with the group of patients without any periodontal symptoms, the group of patients that had at least one periodontal symptom had a higher proportion of patients with poor glycemic control (p<0.001). In the logistic regression model, gingival bleeding and halitosis were the factors most associated with hyperglycemia (p<0.05). Conclusions: The results of our study suggest that gingival bleeding and halitosis can predict hyperglycemia in patients with type 2 diabetes.

• Journal of Korean Academy of Nursing Administration
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• v.16 no.3
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• pp.306-313
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• 2010

Purpose: This study was conducted to examine the factors associated with work related injuries of nurses in small and medium sized hospitals. Method: A cross-sectional survey was conducted with nurses in eight hospitals from October 2007 to January 2008. A questionnaire was designed to collect information on nurses' work related injuries, and individual and job related characteristics. The response rate was 65.1%. Data from 294 nurses were analyzed. Multiple logistic regression analysis was performed to determine factors associated with work related injuries. Result: Of the 294 nurses, 19.1% (n=56) responded as having at least one injury during their job performance. The logistic regression analysis revealed that the significant factors influencing work related injuries were job satisfaction, stress recognition, and hospital's location. Nurses with a higher job satisfaction were less likely to experience work related injuries (OR=0.58). Nurses with a higher stress recognition (OR=2.57) and those working at hospitals in metropolitan cities (OR=3.28) were more likely to experience work related injuries. Conclusions: The result of this study indicated that a substantial proportion of nurses in small and medium sized hospitals had experienced injuries related to nursing job. Interventions to prevent work related injuries among nurses should take into account the job satisfaction, stress recognition, and hospital characteristics.