• Korean Journal of Health Education and Promotion
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• v.31 no.4
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• pp.37-49
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• 2014

Objectives: The aim of this study was to evaluate the effects of a lifestyle modification program for Korean adults with cardiovascular disease risk factors on their health behaviors and health status. Methods: A total of 448 adults with abdominal obesity and additional cardiovascular disease risk factors(high blood pressure, low HDL-cholesterol, high triglyceride or high blood glucose) were randomly assigned to either an intensive intervention group (IIG, n=216) or a minimal intervention group(MIG, n=232). Participants in the IIG received lifestyle modification program which consisted of health counseling with nutrition assessment, health booklet and health diary, while those in MIG received minimal information. Results: The participants in the IIG significantly improved dietary habits(p<.05), retrained eating(p<.001), external eating(p<.01) behaviors, leisure time physical activity(p<.05), dietary self-efficacy(p<.01), exercise self-efficacy(p<.01) and MetS score(p<.001) after 3 months. In addition, the participants in the IIG showed more improvement in dietary habits(p<.05) compared with those in the MIG. Conclusion: The lifestyle modification program was effective in improving some health behaviors, behavioral determinants and cardiovascular risk factors for a short term.

• Journal of Preventive Medicine and Public Health
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• v.46 no.4
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• pp.165-172
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• 2013

A noncommunicable disease (NCD) is a medical condition or disease that is by definition non-infectious and non-transmissible among people. Currently, NCDs are the leading causes of death and disease burden worldwide. The four main types of NCDs, including cardiovascular disease, cancer, chronic lung disease, and diabetes, result in more than 30 million deaths annually. To reduce the burden of NCDs on global health, current public health actions stress the importance of preventing, detecting, and correcting modifiable risk factors; controlling major modifiable risk factors has been shown to effectively reduce NCD mortality. The World Health Organization's World Health Report 2002 identified tobacco use, alcohol consumption, overweight, physical inactivity, high blood pressure, and high cholesterol as the most important risk factors for NCDs. Accordingly, the present report set out to review the prevalence and trends of these modifiable risk factors in the Korean population. Over the past few decades, we observed significant risk factor modifications of improved blood pressure control and decreased smoking rate. However, hypertension and cigarette smoking remained the most contributable factors of NCDs in the Korean population. Moreover, other major modifiable risk factors show no improvement or even worsened. The current status and trends in major modifiable risk factors reinforce the importance of prevention, detection, and treatment of risk factors in reducing the burden of NCDs on individuals and society.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.21
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• pp.9535-9541
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• 2014

Background: Identifying risk factors of breast cancer is a key point for preventive strategies to reduce the incidence. The aim of current study was to determine most important risk factors for breast cancer in the Eastern Mediterranean Region (EMR) using a systematic review. Materials and Methods: PubMed, Scopus, Web of Science till August 24, 2012 and the reference lists of all included studies were searched. Analytic studies which had reported odds ratios (OR), relative risk (RR) or required data to calculate them were included. A total of 343 studies were critically appraised and finally 30 studies were meta-analyzed. Heterogeneity between the studies was assessed by $I^2$ and Cochran's Q. Egger's test was used to assess publication bias. Results: Twenty five casecontrol studies, one nested case-control and four cohort studies were included. The largest ORs were obtained for history of no live birth (2.25; 95%CI: 1.58-3.18), body mass index (BMI) more than 30 (2.21; 95%CI: 1.71-2.36), age at first pregnancy more than 30 years old (1.52; 95%CI: 1.30-1.77) and meat consumption more than three times per week (1.39; 95%CI: 1.03-1.87). The other important predictors were higher education and smoking as risk factors, physical activity and ovulatory stimulating medication as protective factors. Conclusions: The most important predictors of breast cancer in EMR were history of no live birth, BMI more than 30, age at first pregnancy more than 30 years old, physical inactivity and smoking. Almost all these risk factors are consistent with known risk factors for this cancer in other parts of the world.

• Physical Therapy Korea
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• v.25 no.1
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• pp.39-46
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• 2018

Background: The Berg Balance Scale (BBS) and the Fullerton Advanced Balance (FAB) scale have been used to assess balance function in patients with chronic stroke. These clinical balance scales provide information about potential risk factors for falls. Objects: The purpose of this study was to investigate the incidence of and risk factors of falls and compare the predictive values of the BBS and FAB scale relative to fall risk in patients with stroke through receiver operating characteristic analysis. Methods: Sixty-three patients with stroke (faller=34, non-faller=29) who could walk independently for 10 meters participated in this study. The BBS and FAB scale were administered. Then, we verified the cut-off score, sensitivity, specificity, and the area of under the curve. Results: In this study, the BBS and FAB scale did not predict fall risk in patients with stroke in the receiver operator characteristic curve analysis. A cut-off score of 37.5 points provided sensitivity of .47 and specificity of .35 on the BBS, and a cut-off score of 20.5 points provided sensitivity of .44 and specificity of .45 on the FAB scale. Conclusion: The BBS and FAB scale were not useful screening tools for predicting fall risk in patients with stroke in this study, but those who scored 37.5 or lower on the BBS and 20.5 or lower on the FAB scale had a high risk for falls.

• Convergence Security Journal
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• v.20 no.2
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• pp.15-28
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• 2020

Smart City is highly anticipated to solve the problems of existing cities and create new added value, but there is also increasing concern about security risks. The negative view of smart city according to security risk awareness is a problem that needs to be improved in order to activate the fourth industrial revolution technology and develop smart city. This study examined risk factors in smart cities based on perceived risk and user resistance theory, and empirically analyzed the relationship with resistance attitudes. According to the empirical analysis with 288 research samples, security, social, and physical risk factors directly affect smart city resistance, while financial, performance, and privacy risk have no significant effect. In addition, it was verified that the security risk can is an antecedent factor for other risk factors, and it was confirmed that it is required to separately discuss the security and privacy risk in the smart city environment. This study shows that it is necessary to prepare policy supports for social interactions as well as security and physical safety issues in order to activate smart city by discussing the risk factors that negatively affect smart city perception from the public's point of view.

• Korean Journal of Applied Biomechanics
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• v.24 no.4
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• pp.385-390
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• 2014

The purpose of this study was to investigate the effects of landing tasks on the anterior cruciate ligament (ACL) injury risk factors in female basketball players. Fifteen female basketball players performed a drop landing and a drop landing with a vertical jump on the 40 cm height box. Three-dimensional motion analysis system and ground reaction force system was used for calculate the ACL injury risk factors. Paired samples t-test with Bonfferoni correction were performed. The drop landing with a vertical jump had the higher knee flexion angle, peak knee varus moment, trunk flexion angle than a drop landing. However, the drop landing had the higher trunk rotation angle than a drop landing with a vertical jump. These results indicate that seemingly minor variations between drop landing and drop landing with a vertical jump may influence the ACL injury risk factors. Caution should be used when comparing studies using different landing tasks.

• Korean Journal of Health Education and Promotion
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• v.2 no.1
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• pp.97-114
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• 2000

Minority populations in the United States have a higher prevalence of non-insulin-dependent diabetes mellitus (NIDDM) and more persons die of the disease than white persons. This study was to review and compare risk factors and prevalence rates of NIDDM in African Americans, Hispanic s, Korean Americans and Native Americans in the United States. The risk factors of NIDDM, including family history of diabetes, obesity, physical inactivity, diet and age, were reviewed in the minority populations. Risk factors such as obesity, physical inactivity and family history of diabetes occurred to a greater extent in some minority populations than in the white population. Diabetes should be treated as a public health problem for minority populations. Due to the increase of older populations and the increased prevalence of obesity and sedentariness, NIDDM in minorities is nearing epidemic proportions. Good diet and regular exercise can reduce the incidence of NIDDM but an understanding of the cultural aspects of diabetes is imperative in order to provide adequate community health education programs because those programs involve diet and behavior changes, characteristics that are often culturally determined. In summary, it is important to plan a community health education program targeted on NIDDM in a culturally adapted manner that will be received with both comprehension and acceptability. In particular, the program for high-risk populations should be stressed so to prevent diabetes. Preventive approaches to diabetes should be considered because they can be both therapeutic and cost effective.

• Physical Therapy Korea
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• v.30 no.1
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• pp.1-7
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• 2023

Background: Like many other countries, falls and related injuries in older adults are great concerns in South Korea. In particular, falls are common in medical institutions, often causing the increase of the length of hospitalization. Objects: The purpose of this review was to help understand and address falls in hospitalized individuals in South Korea. Methods: The review was conducted on literature published in Korean from 2010 to 2022, searched in the Korea Citation Index and PubMed. Keywords used for the search were as follows: falls, fall risk, fall risk assessment, hospital, inpatient, intervention, Korea, and prevention. Results: A total of 54 articles were found and reviewed. The most common place of fall accidents was the inpatient room, where there were many cases of falls while walking. Loss of balance was the most common cause of falls, and many falls occurred in patients admitted to the internal medicine. Furthermore, a risk of falling increased with the type of medications taken. In terms of tools to assess patients' fall risk, the Morse Fall Scale (MFS) was commonly used. Patient-specific fall prevention activities were common to address falls, and they decreased the frequency of falls and the fear of falling. Factors influencing the effectiveness of the fall prevention activities included attitudes toward falls, education, environmental factors, patient safety culture, and self-efficacy in preventing falls. Conclusion: Our results should help understand and address falls and injuries in medical institutions.

• The Journal of Internal Korean Medicine
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• v.28 no.4
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• pp.850-862
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• 2007

Background : Cerebrovascular disease is a major cause of death and disability in adults. Silent cerebral infarction (SCI) portends more severe cerebral infarction or may lead to insidious progressive brain damage resulting in vascular dementia. Known cardiovascular risk factors, such as arterial hypertension, diabetes mellitus, smoking, hyperlipidemia and ischemic heart disease may increase the risk of SCI. This study was designed to evaluate the risk factors of SCI in an apparently normal adult population. Methods : We divided 340 neurologically normal adults (mean age=59.90$\pm$8.30, men:women = 146:194) who underwent brain computed tomography (CT) or magnetic resonance imaging (MRI) at the Stroke Medical Center in Daejeon University Oriental Medicine Hospital in two groups, Silent inf. and Controls,and analyzed risk factors of SCI by interview, physical examination and blood test. Risk factors of SCI were assessed by interview, physical examination and blood test. We performed Pearson's chi-square test and two-sample t-test for univariate analysis and multiple logistic regressions for multivariate analysis to evaluate risk factors of SCI. Results : Old age, diabetes mellitus, and high lactate dehydrogenase (LDH) levels were associated with SCI on univariate analysis. Diabetes mellitus was demonstrated to be an independent risk factor for SCI on multivariate analysis. Conclusions : Advanced age, diabetes mellitus, and LDH levels are associated with SCI.

• Journal of The Korean Society of Integrative Medicine
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• v.12 no.2
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• pp.155-166
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• 2024

Purpose : This study aims to identify key factors for predicting dropout risk at the university level and to provide a foundation for policy development aimed at dropout prevention. This study explores the optimal machine learning algorithm by comparing the performance of various algorithms using data on college students' dropout risks. Methods : We collected data on factors influencing dropout risk and propensity were collected from N University. The collected data were applied to several machine learning algorithms, including random forest, decision tree, artificial neural network, logistic regression, support vector machine (SVM), k-nearest neighbor (k-NN) classification, and Naive Bayes. The performance of these models was compared and evaluated, with a focus on predictive validity and the identification of significant dropout factors through the information gain index of machine learning. Results : The binary logistic regression analysis showed that the year of the program, department, grades, and year of entry had a statistically significant effect on the dropout risk. The performance of each machine learning algorithm showed that random forest performed the best. The results showed that the relative importance of the predictor variables was highest for department, age, grade, and residence, in the order of whether or not they matched the school location. Conclusion : Machine learning-based prediction of dropout risk focuses on the early identification of students at risk. The types and causes of dropout crises vary significantly among students. It is important to identify the types and causes of dropout crises so that appropriate actions and support can be taken to remove risk factors and increase protective factors. The relative importance of the factors affecting dropout risk found in this study will help guide educational prescriptions for preventing college student dropout.