• Journal of Acupuncture Research
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• v.20 no.1
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• pp.144-158
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• 2003

This study was carried out to investigate what kinds of statistical techniques have been used to analyze data from oriental medicine research, For study, 551 original articles which used statistical techniques in their data analysis were selected form the articles published in The journal of Korean Acupuncture & Moxibustion Society(JKAMS) between 1984 to 2002. among them, 122 articles used descriptive statistics while 429 articles used inferential statistics for data analysis. For that 429 articles, t-test (189 articles), analysis fo variance (111 articles), chi-square test (14 articles), correlation (10 articles), regression analysis (4 articles), factor analysis(5 articles), or nonparametric test (23 articles) were chose to analyze the data. Nonparametric approach has substantial power in case data do not meet the assumption of normality. This method is not only easy to use ut also provides measures of the statistical variation of nominal and ordinal scale. This study shows that more and more recent papers use nonparametric test compared to the old articles. nine different statistical software or packages (SAS, SPSS, Statview, Minitab, Sigma plot, ISP, Graphpad prism, Excel, Access) have been used in the articles published JKMAS. High level statistical techniques such as SAS, SPSS, and Statview are user friendly and used most for acupuncture and Moxibustion research. Including tables and plots in an article facilitates understanding family process data from a descriptive standpoint, minimized erroneous statistical conclusions, and clarifies theoretically important relationships among variables. Table and plots have been used 500 and 233 articles, respectively. A computer procedure is proposed and illustrated with statistical packages using SAS, SPSS, Statview and ISP.

• The Korean Journal of Applied Statistics
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• v.16 no.2
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• pp.407-426
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• 2003

We consider the missing covariates problem in generalized estimating equations(GEE) model. If the covariate is partially missing, GEE can not be calculated. In this paper, we study the performance of 7 imputation methods to handle missing covariates in GEE models, and the properties of GEE estimators are investigated after missing covariates are imputed for ordinal data of repeated measurements. The 7 imputation methods include i) Naive Deletion ii) Sample Average Imputation iii) Row Average Imputation iv) Cross-wave Regression Imputation v) Carry-over Imputation vi) Bayesian Bootstrap vii) Approximate Bayesian Bootstrap. A Monte-Carlo simulation is used to compare the performance of these methods. For the missing mechanism generating the missing data, we assume ignorable nonresponse. Furthermore, we generate missing covariates with or without considering wave nonresp onse patterns.

• Safety and Health at Work
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• v.11 no.1
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• pp.19-25
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• 2020

Background: Childbirth represents a significant transition for women, with physical and psychological sequelae. Reentry to the workplace during the postpartum period is understudied, with implications for maternal well-being and job-related outcomes. This study's aim was to examine selected pregnancy, childbirth, and return-to-work correlates of overall self-rated health within the first month of work reentry after maternity leave. Methods: Between December 2016 and January 2017, we surveyed women employed at a large, public Midwestern university who had given birth in the past five years (N = 249) to examine self-rated overall health in the first month of work reentry. Using ordinal logistic regression, we examined whether physical or psychological health problems during pregnancy, childbirth complications, length of maternity leave, and depression and anxiety at work reentry were related to overall health. Results: Women who experienced depression (odds ratio [OR] = 0.096 [95% confidence interval {CI} = 0.019 to 0.483, p = 0.004]) and anxiety (OR = 0.164, [95% CI = 0.042 to 0.635, p = 0.009]) nearly every day reported worse health at work reentry than those with no symptoms. Controlling for demographics and mental health, women who experienced medical problems during pregnancy (OR = 0.540 [95% CI = 0.311 to .935, p = 0.028]) were more likely to report poor health, while taking a longer maternity leave (OR = 14.552 [95% CI = 4.934 to 42.918, p < 0.001]) was associated with reporting better health at work reentry. Conclusion: Women who experience medical complications during pregnancy, return to the workplace too soon after birth, and experience mental health symptoms are vulnerable physically as they return to work.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.7
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• pp.3072-3081
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• 2011

The purpose of this study was to investigate the association of blood pressures, hematological and blood biochemical properties according to the degree of obesity based on differential combinations of BMI in health checkup examinees. Study subjects were 3,731 adults of 20 years and over (2,312 males, 1,419 females), not recognized as taking medicines for or having cardiovascular diseases, who underwent health package check-up at the Korea Association of Health Promotion, Daejeon Branch from Jan. 2007 to Dec. 2009. As a results, the mean values of SBP, DBP, TG, TC, LDL-C, ALT, AST, GGT, ALP were significantly increased with higher level of BMI, but the HDL-C was significantly decreased with higher level of BMI. On correlation of BMI with various factors, the BMI was positively correlated with SBP, DBP, TG, TC, LDL-C and GGT, while the HDL-C was negatively correlated. Based on the result of ordinal logistic regression analysis, the risk ratio to the abnormal level of SBP, DBP, TG, ALT and GGT were significantly increased as BMI increased.

• 재활복지
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• v.18 no.4
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• pp.145-164
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• 2014

The purpose of the study is to examine the relationships of parents' satisfaction towards their children's school education and the demographic variables associated with decision-making on post high school academic completion of parents of the students with disabilities. The Korean Education Longitudinal Study data, which contained the responses of 162 parents of high school students with mild disabilities who enrolled in regular high schools, was used for the study. For data analysis, descriptive statistics, ordinal logistic regression analysis, and chi-square test were used. As a result, provision of college entrance related information/consultation, improvement of academic performance level, collaboration/ communication between the teachers and parents, and overall school education were significantly related to parents' decision-making on their children's post high school academic completion. Also, mothers' educational level showed significant difference in parents' decision-making on their children's post high school academic completion.

• Research in Community and Public Health Nursing
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• v.29 no.4
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• pp.440-449
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• 2018

Purpose: The purpose of this study is to identify the dietary habits of Korean adolescents and to investigate their effects on sleep duration. Methods: This study is a secondary analysis drawn from the 2016 Korean Youth Risk Behavior Web-Based Survey (N=65,528). ANCOVA was used to determine the relationship between dietary habits and sleep duration. Ordinal logistic regression was used to find out the effects of dietary habits on sleep duration adjusted for general characteristics and behavioral characteristics. Results: The group that consumed no breakfast (AOR=0.89, p<.001) had less sufficient sleep duration than those who had breakfast 7 times per week. The group that had drunk no milk (AOR=0.88, p<.001) had less sufficient sleep duration than those who enjoyed it 5 times per week. On the contrary, the groups that had no soda drinks (AOR=1.18, p=.015), caffeine drinks (AOR=1.77, p<.001), and sweet drinks (AOR=1.25, p<.001) were more likely to have sufficient sleep duration than the groups that consumed those beverages 5 times per week. Conclusion: It is important to educate adolescents about healthy eating habits including drinks and optimal sufficient sleep duration through a multidisciplinary approach.

• Journal of The Korean Society of Clinical Toxicology
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• v.19 no.1
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• pp.17-23
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• 2021

Purpose: Alcohol ingestion enhances impulsivity and aggression, and has been proven to have a close relationship with suicide. This study investigates whether alcohol co-ingestion affects the Poisoning Severity Score (PSS) grade in patients with intentional poisoning. Methods: We conducted a retrospective analysis of intentional poisoning patients who visited the emergency department (ED) from January 1 to December 31, 2020. Patients were divided into non-drunken and drunken groups. We collected the data based on the medical records of the patients and serum ethanol level results recorded during initial blood tests at the ED. To grade the PSS, the highest score was assessed through clinical signs and test results during the hospital stay. A comparative analysis was conducted between the two groups. Results: A total of 277 patients were included in the study. 163 (58.8%) were in the non-drunken group, and 114 (41.2%) were in the drunken group. The PSS grade showed a significant difference between the two groups (p=0.002). While grade 1 (mild) was observed more in the non-drunken group, grade 2 (moderate) and grade 3 (severe) were seen more in the drunken group. In an ordinal logistic regression analysis, alcohol co-ingestion (adjusted odds ratio [aOR] 2.557, 95% confidence interval [CI] 1.554-4.208, p<0.001) was considered to be a risk factor for a higher PSS grade. There was no significant correlation between the serum ethanol level and the PSS grade. (p=0.568) Conclusion: Intentional poisoning patients with alcohol co-ingestion had a higher PSS. Hence close observation and aggressive treatment in the ED is warranted in such cases.

• The Journal of the Convergence on Culture Technology
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• v.8 no.2
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• pp.291-298
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• 2022

This study is a descriptive study to investigate the association between current smoking, high-risk alcohol drinking and depressive symptoms among female college students. The participants were 515 female college students, and data collection was conducted through online and mobile surveys from September 2020 to August 2021. Multivariable ordinal logistic regression analysis was performed to investigate the association between current smoking, high-risk drinking and depressive symptoms, and as a result, current smoking was significantly associated with depressive symptoms (OR= 2.524, 95% CI=1.051-6.061). Therefore, in order to improve the depressive symptoms of female college students, adequate support such as reducing the smoking rate through active smoking cessation education and preparing various on-campus programs should be provided.

• Journal of dental hygiene science
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• v.22 no.3
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• pp.171-179
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• 2022

Background: In this study, we investigated the changes and factors that affect daily health behaviors due to COVID-19 among adolescents. We intend to provide basic data so that a systematic and comprehensive health education program that includes physical and oral health can be made. Methods: This study was a secondary data analysis of the from the 2019 and 2020 Korea Youth Risk Behavior Web-based Survey. A final sample of 112,251 participants was anlayzed using chi-square test, and ordinal logistic regression. Results: In the case of tooth brushing, the frequency of 'never' increased in most general characteristics compared to before COVID-19. In the case of handwashing, it was found that handwashing behavior increased (increased) after COVID-19 compared to before COVID-19. As a result of confirming the factors affecting tooth brushing behavior before and after COVID-19, it was found that girls brushed teeth 2.2 times more regularly after lunch than boys. As a result of adjusting all other factors, regular tooth brushing behavior after COVID-19 was reduced by 0.79 times compared to before COVID-19. Conclusion: It is judged that it is necessary to operate a comprehensive health management program in the school so that the most basic tooth brushing for oral health and handwashing for health can become a habit. In addition, by confirming the impact of the COVID-19 pandemic on handwashing and tooth brushing behavior through this study, it is expected to be used in the development of policy data such as raising awareness of brushing and improving behaviors applicable in the current and upcoming new pandemic situations.

• Nutrition Research and Practice
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• v.17 no.1
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• pp.103-121
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• 2023

BACKGROUND/OBJECTIVES: The coronavirus disease 2019 (COVID-19) pandemic has affected the entire world population in many ways. This study aimed to analyze the patterns of changes in eating, food purchasing and preparation, physical activity, and subjective health after COVID-19 outbreak by various sociodemographic factors and to understand the factors associated with changes in subjective health. SUBJECTS/METHODS: A cross-sectional survey using a representative sample from Seoul was used for the analysis. The data collection was conducted from September to October 2020. A total of 3,833 citizens aged more than 18 years old participated in the Seoul Food Survey. Descriptive statistics and generalized ordinal logistic regression models were used to understand the changes in health behaviors, health indicators, and subjective general health by various socioeconomic status. RESULTS: It was shown that the changes in household income, food expenditure, food consumption and physical activities differed significantly by age, education, occupation, income, weight, and food security status. Low-income and food-insecure households were affected more severely by the pandemic. Older age, household food insecurity, income reduction, increased home cooking and frequency of having instant foods, decreased physical activity and weight gain were significant factors explaining worse perceived health during the COVID-19 pandemic. CONCLUSIONS: The results suggest that focusing on older populations and low-income families with food insecurity should be prioritized during infectious disease outbreaks. In addition, the role of physical activities and instant food consumption in explaining perceived health should be investigated further in this prolonged battle with the pandemic situation.