• Health Policy and Management
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• v.30 no.1
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• pp.26-36
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• 2020

Background: The purpose of this study was to analyze the relationship between the regional characteristics and the age-adjusted cardio-cerebrovascular disease mortality rates (SCDMR) in 229 si·gun·gu administrative regions. Methods: SCDMR of man and woman was used as a dependent variable using the statistical data of death cause in 2017. As a representative index of regional characteristics, health behavior factors, socio-demographic and economic factors, physical environment factors, and health care factors were selected as independent variables. Ordinary least square (OLS) regression and geographically weighted regression (GWR) were performed to identify their relationship. Results: OLS analysis showed significant factors affecting the mortality rates of cardio-cerebrovascular disease as follows: high-risk drinking rates, the ratio of elderly living alone, financial independence, and walking practice rates. GWR analysis showed that the regression coefficients were varied by regions and the influence directions of the independent variables on the dependent variable were mixed. GWR showed higher adjusted R² and Akaike information criterion values than those of OLS. Conclusion: If there is a spatial heterogeneity problem as Korea, it is appropriate to use the GWR model to estimate the influence of regional characteristics. Therefore, results using the GWR model suggest that it needs to establish customized health policies and projects for each region considering the socio-economic characteristics of each region.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.105-113
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• 2021

This study is a qualitative study that conducted one-on-one in-depth interviews and focus group interviews to understand the meaning of the experience of participating in a cardio-cerebrovascular disease prevention management program using a mobile app for middle-aged female workers. The subjects of this study were 26 female workers over 50 years of age who participated in a cardio-cerebrovascular disease prevention program using a mobile app in a department store. Participating experience derived from the research result were 'Pleasure of getting to know', 'Activation of mutually friendly relations', 'health concerns take care of me ', 'Accepting an unfamiliar culture', 'Convenience as if receiving counseling anywhere. Through these results, it was shown that the mobile app improves the will to practice health behavior, and it is suggested that a standard to guarantee that the mobile app is a safe program is necessary to reduce anxiety about unfamiliar programs when installing the mobile app.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.10
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• pp.6223-6233
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• 2014

The aim of this study was to help disease management and prevention by analyzing the effects of income and education levels on the health of cardio-cerebrovascular patients. Using the raw data of 2010-2011 Korea Health & Nutrition Examination Survey, the correlations of health behaviors, general (socio-demographic) characteristics, body measurements, and blood test results of 3,687 cardio-cerebrovascular patients aged 30 or older were analyzed based on their income and education levels. The results suggested that lower income and education levels were correlated with a high prevalence of cardio-cerebrovascular diseases. In addition, the OR values (95% CI) of current smoking were 0.71 (0.52-0.96) for patients with a high-income and 0.41 (0.29-0.58) for those with a high level of education, showing a strong correlation between lower levels of income and education and current smoking, which is related to health deterioration. In terms of one-month drinking and high risk drinking, the OR values (95% CI) of the patients with a high income were 1.55(1.22-1.95) and 1.42(1.11-1.82), respectively. Drinking was more prevalent among high-income patients but had no correlation with the education level. The practice of walking had no significant correlation with both income and education levels. Therefore, it is imperative to emphasize the importance of temperance to high-income patients, and the importance of quitting smoking to low-income patients, as well as to provide institutional support.

• Design Convergence Study
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• v.16 no.5
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• pp.1-20
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• 2017

Cardio-cerebrovascular disease is one of the chronic diseases that often attack people in Korea, and in fact, it ranks second in terms of death rate. This disease can be prevented by improving lifestyle, usual health care is important. But, in Korea most of the prevention or management programs adopt passive methods like using guide books or giving lectures, so it is not very effective in preventing the disease. Presently, the smart health care market is being developed in Korea and overseas. As an example, quantified self is being spread through wearable devices which are intended to measure each individual's health conditions and quantify body data into numbers for bettering habits. Accordingly, this author will explore and discuss wearable health care devices so as to prevent and manage cardio-cerebrovascular disease in a more active way. First, this study has classified wearable health care devices presently commercialized or related with cardio-cerebrovascular disease into wrist, clothes, or attaching types by the way of their attachment and analyzed them. After that, summing that up, this author performed cross-tabulations with other ways of preventing cardio-cerebrovascular disease. This will contribute to improving one's health care behavior about disease more actively and also work as an active interdisciplinary mechanism in research dealing with how to prevent disease afterwards.

• Biomolecules & Therapeutics
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• v.25 no.5
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• pp.471-481
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• 2017

The canonical transient receptor potential channels (TRPCs) constitute a series of nonselective cation channels with variable degrees of $Ca^{2+}$ selectivity. TRPCs consist of seven mammalian members, TRPC1, TRPC2, TRPC3, TRPC4, TRPC5, TRPC6, and TRPC7, which are further divided into four subtypes, TRPC1, TRPC2, TRPC4/5, and TRPC3/6/7. These channels take charge of various essential cell functions such as contraction, relaxation, proliferation, and dysfunction. This review, organized into seven main sections, will provide an overview of current knowledge about the underlying pathogenesis of TRPCs in cardio/cerebro-vascular diseases, including hypertension, pulmonary arterial hypertension, cardiac hypertrophy, atherosclerosis, arrhythmia, and cerebrovascular ischemia reperfusion injury. Collectively, TRPCs could become a group of drug targets with important physiological functions for the therapy of human cardio/cerebro-vascular diseases.

• Research in Community and Public Health Nursing
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• v.28 no.4
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• pp.410-420
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• 2017

Purpose: This study was to identify factors explaining health empowerment of older adults with high-risk of cardio-cerebrovascular diseases. Methods: Using a structured questionnaire, data were collected from 148 older adults residing in two areas who have one or more of the following diseases; hypertension, diabetes mellitus, hyperlipidemia, and atherosclerosis. Data were analyzed using descriptive statistics, independent t-test, analysis of variance (ANOVA), Pearson correlation analysis, and hierarchical multiple regression. Results: Health empowerment had a positive correlation with health literacy and social support. Perceived health status and social activity participation showed significant contribution in explaining health empowerment. Conclusion: This study showed that enhancing perceived health status and social activity participation are vital in an effort to improve health empowerment of the population. Main findings of this study can contribute to developing health empowerment interventions to improve health behavior practices of the older adults.

• Korean Journal of Health Education and Promotion
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• v.31 no.4
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• pp.51-62
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• 2014

Objectives: The objective of study was to calculate the municipal level environmental burden of disease (EBD) due to heat wave. Methods: The data used were Korea National Health Insurance 2011 claim data and 2011 death registry. Heatwave related diseases included hypertensive heart diseases, ischemic heart diseases, cerebrovascular disease, and heat related illness. According to the method that WHO proposed, the study computed population-attributable fraction with relative risk which come from previous study and proportion of exposure which the study calculated with historical meteorology data. Results: The Average of 251 municipal EBD was 2.11 per thousand persons. The value of years lost due to disability was 11 times higher than that of years of life lost. On average EBD of county and southern geographical areas tended to be higher than those of District or city areas. The relationship between municipal deprivation index (composite deprivation index) and EBD showed the positive association, which means that the worse deprived municipal is, the higher EBD takes. Conclusions: Climate change is getting one of the major risk factors of cardio-cerebrovascular disease, which is the second leading cause of death. The study results suggested the urgent policy planning and reaction of climate change adaptation.

• Korean Journal of Adult Nursing
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• v.29 no.3
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• pp.256-265
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• 2017

Purpose: The aim of this study was to identify levels of health literacy and reported health behaviors among older adults with cardio-cerebrovascular disease residing in rural areas. Methods: A cross-sectional survey was conducted with a convenience sample of 134 older people (mean age=75.5 years, 71.6% Female) registered at seven health centers. The structured questionnaires were used to measure levels of health literacy and health behaviors. Results: The average functional health literacy score was $6.08{\pm}3.04$, and the health behavior score was $62.92{\pm}6.45$. Respectively health behavior was positively associated with health literacy. Education, economic status, number of family members, number of social activities and health literacy were contribution factors explaining 40.64% of the variance in health behavior. Health literacy specifically explained 12.5% of health behavior. Conclusion: These findings suggest that strategies for improving health behaviors and reducing health inequalities may benefit from adopting a stronger focus on health literacy within prevention, patient education, and other public health interventions. Further longitudinal studies are needed to help confirm that improving health literacy in the elderly may be effective in changing health behaviors.

• Journal of dental hygiene science
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• v.17 no.4
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• pp.375-381
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• 2017

The study aimed to investigate the effects of differences between personal income and social deprivation on the association between cardio-cerebrovascular disease (hypertension, stroke) and periodontal disease. This study used 12 years of cohort data from the Korea National Health Insurance Service covering the years 2002 to 2013. Among the patients aged more than 40 years who had received treatment for periodontal disease 224,067 and 284,730 who had not received treatment for hypertension and stroke, respectively, were included in the analysis. The Kaplan-Meier analysis revealed differences in the rate of treatment for cardio-cerebrovascular disease (hypertension, stroke) according to regional differences, the rate of treatment increased as the composite deprivation index value increased. The difference in treatment rates for cardio-cerebrovascular disease (hypertension, stroke) according to income was found to be higher in the treatment group with low income. This study empirically proved that the association between systemic disease and periodontal disease varies depending on personal income and the regional socioeconomic deprivation level. This shows that the clinical influence of periodontal illness on systemic disease differs according to the personal socio-demographic characteristic and residential area and that an individual's characteristic (income and the regional) needs to be considered along with the patient's clinical intervention in the disease treatment process.

• The Journal of Bigdata
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• v.6 no.2
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• pp.161-168
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• 2021

In this study, we propose a cardiovascular disease prediction model using machine learning. First, a multidimensional analysis of various differences between the two groups is performed and the results are visualized. In particular, we propose a predictive model using cost-sensitive learning that can improve the sensitivity for cases where there is a high class imbalance between the normal and patient groups, such as diseases. In this study, a predictive model is developed using CART and XGBoost, which are representative machine learning technologies, and prediction and performance are compared for cardiovascular disease patient data. According to the study results, CART showed higher accuracy and specificity than XGBoost, and the accuracy was about 70% to 74%.