• The Journal of Korean society of community based occupational therapy
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• v.9 no.1
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• pp.35-45
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• 2019

Objective : The purpose of this study was to investigate the factors influencing stroke in community-dwelling adults. Methods : This study used raw data from the community health survey in 2016. Among the 228,452 subjects who participated in the survey, 225,003 (98.5%) of them were included in the analysis of this study. The sociodemographic characteristics were selected as gender, age, region, income, marital status, and comorbidity was selected as osteoporosis, hypertension, diabetes, dyslipidemia, myocardial infarction and arthritis. Health-related quality of life was assessed by EuroQol-5 Dimension(EQ-5D) and the subcategory of EQ-5D (mobility, self-care, usual activities, pain/discomfort, anxiety/depression) were included in the analysis. Dependent variables were stroke, and the independent variables were the 16 variables described above. Statistical analysis was performed using binomial logistic regression analysis. Results : In sociodemographic variables, stroke was predicted by men, aging, and lower income levels. In comorbidity variables, stroke was predicted by hypertension, diabetes mellitus, hyperlipidemia, and myocardial infarction. In sub-domains of health-related quality of life, stroke was predicted by self-care, usual activities, mobility, anxiety/depression, and pain/discomfort. Conclusion : These finding suggest that it is needed development of a customized health promotion program for the improvement of self-care and activities of daily living in community-dwelling stroke survivors.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.602-604
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• 2017

As human life span has increased, people have wanted to live healthier desires. Especially Korea has rapidly entered an aging society, leading to the burden of medical expenses to the increase of disease accompanying aging. To alleviate the burden of medical expenses, prediction and prevention are important rather than treatment of diseases. It is possible to predict and prevent diseases by measuring individual genetic information. In order to utilize individual's genetic information Korea's genetic information is grasped through SNP (800 thousand) and GWAS optimized for the discovery of genetic factors of phenotype and disease of Koreans, The genetic information of each individual is analyzed in the genetic (constitutional) characteristics of the individual. In this thesis we develop a classification index so that we can classify populations of specific chronic diseases (obesity, diabetes or cardiovascular system). Try to develop health care services to manage custom diet and exercise associated with chronic illness.

• Korea journal of population studies
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• v.30 no.1
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• pp.49-66
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• 2007

본 연구는 2001년 한국에서 사망한 60세 이상 노인들 62,000명의 사망기록 자료를 이용하여 사망원인의 다양성을 보여주는 한편 치매에 의한 사망원인을 가장 잘 예측할 수 있는 변수를 경험적으로 규명하고자 실시하였다. 이와 같은 목적을 위한 연구내용은 다음과 같다. 첫째, 노인들의 주요 사망원인에 해당하는 악성종양, 뇌혈관 질환, 심장병, 당뇨, 만성 호흡기 질환, 치매, 고혈압, 간 질환, 사고, 결핵 및 기타 질병 등 11개 사망원인에 대하여 빈도분석을 실시하였다. 둘째, 60세 이상 사망자들 가운데 치매에 의한 사망원인과 나머지 19개의 사망원인을 비교하여 치매에 의한 사망에 영향을 미치는 요인들을 다항로지스틱회귀분석을 통해 분석하였다. 그 결과, 한국의 노인인구 가운데 연령이 높을수록 치매로 인하여 사망할 가능성(우도비)이 높으며 여성이 남성에 비해 치매에 의하여 사망할 가능성이 높은 것으로 밝혀졌다. 그러나 교육수준이 높을수록 치매에 의하여 사망할 가능성이 낮은 것으로 나타났으며 거주지역은 치매에 의한 사망과 통계적으로 유의미한 관계가 있었으나 일관성은 없는 것으로 밝혀졌다. 한편 결혼지위는 치매에 의한 사망과 통계적으로 유의미한 관계가 없는 것으로 나타났다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.03a
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• pp.67-70
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• 1998

There were many cases to apply artificial intelligence to medicine. In this paper, we present the prediction model of the development of the NIDDM(noninsulin-dependent diabetes mellitus). It is not difficult that doctor diagnose patient as DM(diabetes mellitus). However NIDDM is usually developmented later on 40 years old and symptom appeares gradually. So screening test or prediction model is needed absolutely. Our model predicts development of NIDDM with still normal data 2 year ago. Prediction models developed are both MLP(multilayer perceptron) with backpropagation training and RBFN(radial basis function network). Performance of both models were evaluated with likelihood ratio. MLP was about two and RBFN was about three. We expect that models developed can prevent development of DM and utilize normal data.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.325-327
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• 2023

Diabetes is a common chronic disease that threatens human life and health, and its prevalence remains high because its mechanisms are complex, further its etiology remains unclear. According to the International Diabetes Federation (IDF), there are 463 million cases of diabetes in adults worldwide, and the number is growing. This study aims to explore the potential influencing factors of diabetes by learning data from the UCI diabetes dataset, which is a multivariate time series dataset. In this paper we propose the TCN-prophet model for diabetes. The experimental results show that the prediction of insulin concentration by the TCN-prophet model provides a high degree of consistency, compared to the existing LSTM model.

• Smart Media Journal
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• v.7 no.3
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• pp.22-28
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• 2018

Air pollution problems in Korea are gradually becoming a higher concern due to various reasons such as fine dust, causing anxiety among people with regard to their health. Although various studies have been carried out on the relationship between the influence of fine dust and a certain disease, they are mostly focusing on the analyzation that fine dust is related to specific illnesses such as respiratory and cardiovascular diseases, hypertension and diabetes. In this paper, we utilize the public data of medical history information to extract ten medical care subjects with the highest number of monthly care in 2016, and analyze the relation of fine dust with certain medical subjects using Pearson correlation coefficient. We also subdivide and analyze the correlation between fine dust and the medical subjects according to their gender and age. Middle-aged Female group with the strongest positive correlation between fine dust and the medical subjects is analyzed with the correlation from 2011 to 2015, with its relevance coefficient extracted by regression analysis in order to predict the correlation with the medical subjects according to the fine dust concentration.

• The Korean Journal of Nuclear Medicine
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• v.33 no.4
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• pp.398-404
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• 1999

Purpose: Diabetic nephropathy is the most common cause of end stage renal disease and the incidence is progressively increasing. The aim of this study was to investigate the differences of $^{99m}Tc$-DMSA renal uptake among diabetic patients with normoalbuminuria, microalbuminuria and overt proteinuria, and then to determine the clinical usefulness of $^{99m}Tc$-DMSA in predicting early diabetic nephropathy Materials and Methods: $^{99m}Tc$-DMSA scan was performed and a total renal uptake of $^{99m}Tc$-DMSA was measured in 145 diabetic patients. Patients were divided into 3 groups according to the amount of 24 hour urinary albumin excretion as Group I (normoalbuminuria, 74 cases), Group II (microalbuminuria, 39 cases), and Group III (overt proteinuria, 32 cases). The differences of $^{99m}Tc$-DMSA renal uptake among the 3 groups and the correlation between the renal uptake of $^{99m}Tc$-DMSA and other clinical parameters were analyzed. Results: The total renal uptake of $^{99m}Tc$-DMSA of Group II ($40.8{\pm}11.0%$) was significantly lower than that of Group I ($54.4{\pm}6.3%$, p<0.001). The uptake of Group III ($27.7{\pm}12.0%$) was significantly lower than those of both Group I and Group II (p<0.001). $^{99m}Tc$-DMSA total renal uptakes correlated negatively with serum creatinine level (r=-0.629, p<0.001) and positively correlated with creatinine clearance rate (r=0.102, p<0.001). Conclusion: $^{99m}Tc$-DMSA total renal uptake of diabetic patients with microalbuminuria was significantly decreased compared with that of patients of normoalbuminuria. Therefore, $^{99m}Tc$-DMSA scan can be used as a diagnostic study for early detection of the diabetic nephropathy.

• Journal of Korean Biological Nursing Science
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• v.14 no.2
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• pp.112-121
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• 2012

Purpose: The purpose of this study was to investigate the level of self management behavior of patients with type 2 diabetes and to compare the factors influencing self management behavior between the elderly and adults. Methods: The participants consisted of 105 adults and 100 elderly who visited the outpatient department of a hospital from August to December 2011. Data was collected by questionnaires and analyzed using the SPSS/WIN 18.0. Results: The elderly showed higher mean scores of subcategory of self management behavior than adults. In stepwise multiple regression analysis, a total of 42% (adults), 52% (elderly) respectively of variance in self management behavior were accounted for by self-efficacy, perceived barriers, perceived benefits, yes or no smoking and regular exercise in adults and readiness, self efficacy, perceived benefits in the elderly. Conclusion: Therefore, a diabetics intervention program should be designed and provided as a tailored one for adults and elderly separately in Korea. In the strategy for adults with type 2 diabetes in the promotion of self efficacy, perceived benefits and reduction of perceived barriers, and correction of life habits such as smoking and exercise are needed, whereas in the elderly promotion of readiness, self efficacy, perceived benefits are required.

• Journal of Korean Academy of Nursing
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• v.47 no.4
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• pp.514-525
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• 2017

Purpose: The purpose of this study was to construct and test a structural equation model for Diabetes self-management (DSM) behavior and Quality of life (QoL) in older adults with diabetes who use Citizen Health Promotion Centers. The theory used this study was a combination of the Information-Motivation-Behavioral Model (IMB) and Self-Determination Theory (SDT) to reflect autonomous characteristics of participants. Methods: Data were collected from April 20 to August 31, 2015 using a self-report questionnaire. The sample was 205 patients with type 2 Diabetes who regularly visited a Citizen Health Promotion Center. SPSS 22.0 and AMOS 22.0 programs were used to analyze the efficiency of the hypothesized model and calculate the direct and indirect effects of factor affecting the participants' DSM behavior and QoL. Results: The supported hypotheses were as follows; 1) The variable that had a direct effect on QoL was health behavior adherence (${\gamma}=.55$, p=.007). 2) The variables that had a direct effect on DSM behavior were DSM information (${\gamma}=.15$, p=.023), DSM confidence (${\gamma}=.25$, p<.001), and autonomous motivation (${\gamma}=.13$, p=.048). 3) The variable that had a direct effect on DSM confidence was autonomy support (${\gamma}=.33$, p<.001). Conclusion: The major findings of this study are that supporting patient's autonomous motivation is an influential predictor for adherence to DSM behavior, and integrative intervention strategies which include knowledge, experience and psychosocial support are essential for older adults with diabetes to continue DSM behavior and improve QoL.

• Composites Research
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• v.34 no.3
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• pp.161-166
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• 2021

In this study, we present a research method to develop a shoe that prevents foot injury by inducing the foot pressure. An orthogonal grid sensor was used to check the foot pressure in the upright standing position, and the change in the foot pressure distribution for various conditions was compared. We checked the conditions for distributing foot pressure efficiently by changing the spring constant of the spring inserted into the sole of the shoe and the foot pressure generated with or without the arch of the insole. In order to minimize the experimental error from the randomness of the human body's behavior, it is possible to predict through foot pressure under certain conditions through finite element analysis that simulates the pressure distribution. By checking the change of foot pressure according to the number and arrangement of springs through finite element analysis, conditions were established to provide more efficient foot pressure. The result can be used for designing footwear for patients with diabetic feet.