• 한국임상약학회지
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• 제24권1호
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• pp.33-38
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• 2014

Background: Diabetes is accompanied by complications. One of the chronic complications, diabetic retinopathy is the most common cause of the loss of eyesight and thus has enormous impacts on the quality of life to the patients. It has been reported that thorough glucose regulation can prevent or postpone the outset of diabetic retinopathy in diabetic patients and that the patients who received anti-diabetic manage & care education would be capable of more thorough glucose-level regulation than those who did not. Method: This study set out to investigate the current state of education on anti-diabetic manage & care in South Korea and connections between anti-diabetic manage & care education and occurrence of diabetic retinopathy in diabetic patients based on the Korea National Health and Nutrition Examination Survey of 2011. Results: Of the 410 diabetes patients, 74 received anti-diabetic manage & care education, which means that only 15% of diabetic patients benefited from the education in the nation. The occurrence rate of diabetic retinopathy was 28% in the education group and 24% in the non-education group with no significant differences between them. The anti-diabetic manage & care education group recorded a higher occurrence rate of diabetic retinopathy, one of the chronic diabetic complications, than the non-education group contrary to the hypothesis. One of the reasons was that the educated group had a significantly longer duration of diabetes and significantly higher HbA1c than the noneducated group, which indicates that anti-diabetic manage & care education is provided to those who have progressed farther along the course of diabetes instead of the early stage and cannot regulate their glucose-level well in the nation. Conclusion: Those findings raise a need for active educational policies in order to provide anti-diabetic manage & care education under the goals of preventing complications through anti-diabetic education for many patients in early stages of diabetes.

• 대한임상검사과학회지
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• 제42권3호
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• pp.125-128
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• 2010

HbA1c test measures the amount of glycated hemoglobin in blood. HbA1c shows the average of blood glucose levels for the past three months, this is a better indicator of how overall diabetes is doing. HbA1c gives a much better idea of how the body is breaking down the glucose. Therefore, this HbA1c is very important tool for maintaining normal glucose levels for pre-and diabetic patients. Total 408 participants were tested HbA1c voluntarily from Chosunilbo Health Expo (8th~11th, July 2010). Through this small-scaled direct HbA1c, about 54.7% (207 out of 408) was shown glucose tolerance and diabetes. However, 61 from 157 participants who were shown under 6.9% HbA1c (normal and pre-diabetic stage) are taking only antidiabetic drugs to maintain a normal blood glucose. Regular HbA1c test can bring an important management and awareness about controlling blood sugar level and prevention of diabetic complications.

• 한국컴퓨터정보학회논문지
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• 제19권11호
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• pp.149-157
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• 2014

당뇨병은 급성합병증을 예방하고 장기간의 합병증의 위험도를 감소하기 위하여 지속적인 치료와 환자 자가 관리 교육이 필요한 만성질환이다. 또한 전 세계적으로 당뇨병에 대한 유병률과 사망률이 대부분의 인구집단에서 역학적 비율에 도달하였다. 많은 연구에서 당뇨병에 대한 조기진단은 적절한 치료와 생활습관을 지키는 관리를 통하여 발병을 예방하는데 도움을 줄 수 있으며, 이를 통하여 당뇨병의 합병증을 감소시키고 생존률을 향상시킬 수 있다고 보고하고 있다. 본 연구는 PIMA Indians 당뇨 데이터에 대하여 mixture of expert 모형을 적용하여 당뇨유병환자의 여부를 분류하고, 이를 로지스틱 회귀분석, 신경망분석의 성능과 비교함으로서 그 유용성을 주장하고자 하였다. 연구결과 정확도 및 ROC 곡선, c-통계량에서 ME 모형이 다른 분류도구들에 비해서 높게 나타남을 확인할 수 있었다.

• 한국농촌간호학회지
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• 제8권1호
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• pp.13-24
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• 2013

Purpose: The purpose of this study was to examine the knowledge of diabetes and self-care behavior of patients with diabetes mellitus living in rural area. Methods: Participants in this study were 94 patients with type 2 diabetes mellitus. Data were collected from July 13 to September 14, 2012. The instruments were the knowledge of diabetes measurement developed by Park Oh Jang and the measurement of self-care behavior for patients with diabetes developed by Kim Young Ok. Data were analyzed using the SPSSWIN 18.0 program for t-test, one-way ANOVA and Scheffe test. Results: There were significant differences in knowledge of diabetes according to education level (p=.011), alcohol use (p=.010), regular exercise (p=.046), and duration of illness (p=.045). There were significant differences in self-care behavior of patients with diabetes according to satisfaction with income (p=.031), regular exercise (p<.001), experience with diabetes education (p=.001), number of diabetes education sessions (p<0.001), and complications (p=.001). Conclusion: Based on the result of this study, there is a need to develop and confirm the efficacy of education programs by examining their fit to characteristics of patients with diabetes mellitus living in rural areas.

• 대한한방내과학회지
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• 제43권4호
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• pp.606-624
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• 2022

Objective: The aim of this study was to compare the effects of different doses of Geumnyeonyijin-tang (GNYJT) water extracts with those of metformin (250 mg/kg) in mild diabetic-obese mice. Methods and Results: The 48 mice were divided into 1 normal pellet diet (NFD) group and 5 high-fat diet (HFD) groups. At the end of 12 weeks of oral administration of metformin (250 mg/kg) or GNYJT water extracts (400, 200, or100 mg/kg), the effects were evaluated. The HFD control mice showed noticeable increases in body weight, adipose tissue density, fat pad weight of the periovarian and abdominal wall, and insulin, blood glucose, and HbA1c levels, with decreases in serum HDL levels. Increases in the periovarian and dorsal abdominal fat pad, regions of steatohepatitis, adipocyte hypertrophy, and hepatocyte hypertrophy were also discovered. The HFD group showed a decline in glucose levels and elevation of hepatic gluconeogenesis, suggesting an HFD-induced AMPK downregulation related to glucose dysregulation, as well as lipid metabolism related to obese insulin-resistant type II diabetes, dyslipidemia, and oxidative stress related diabetic hepatopathy (non-alcoholic fatty liver disease, NAFLD). Conclusion: Assessment of the key parameters for inhibition of diabetes and related complications in HFD-fed diabetic-obese mice demonstrated that GNYJT water extracts have favorable ameliorating effects. The effect of GNYJT was manifested through the stimulation of AMPK upregulation of related hepatic glucose enzyme activities and expression of lipid metabolism-related genes. Therefore, appropriate oral dosages of GNYJT could be promising as a new preventive candidate for controlling diabetes and related complications. Further screening of biologically active compounds, elucidation of detailed mechanisms, and more animal studies are warranted.

• Natural Product Sciences
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• 제27권2호
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• pp.99-114
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• 2021

Type 2 diabetes mellitus (T2DM) and its complications are important noncommunicable diseases with high mortality rates. Protein tyrosine phosphatase 1B (PTP1B) and aldose reductase inhibitors are recently approached and advanced for T2DM and its complications therapy. Matricaria chamomilla L. is acknowledged as a worldwide medicinal herb that has many beneficial health effects as well as antidiabetic effects. Our research was designed to determine the most potential antidiabetic phytochemicals from M. chamomilla employing in silico study. 142 phytochemicals were obtained from the databases. The first screening employed iGEMdock and Swiss ADME, involving 93 phytochemicals. Finally, 30 best phytochemicals were docked. Molecular docking and visualization analysis were performed using Avogadro, AutoDock 4.2., and Biovia Discovery Studio 2016. Molecular docking results demonstrate that ligand-protein interaction's binding affinities were -5.16 to -7.54 kcal/mol and -5.30 to -12.10 kcal/mol for PTP1B and aldose reductase protein targets respectively. In silico results demonstrate that M. chamomilla has potential antidiabetic phytochemical compounds for T2DM and its complications. We recommended anthecotulide, quercetin, chlorogenic acid, luteolin, and catechin as antidiabetic agents due to their binding affinities against both PTP1B and aldose reductase protein. Those phytochemicals' significant efficacy and potential as antidiabetic must be investigated in further advanced research.

• Safety and Health at Work
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• 제14권3호
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• pp.272-278
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• 2023

Background: Some working conditions may pose a higher physical or psychological demand to pregnant women leading to increased risks of pregnancy complications. Objectives: We assessed the association of woman's employment status and the industrial classification with obstetric complications. Methods: We conducted a national population study using the National Health Information Service database of Republic of Korea. Our analysis encompassed 1,316,310 women who experienced first-order live births in 2010-2019. We collected data on the employment status and the industrial classification of women, as well as their diagnoses of preeclampsia (PE) and gestational diabetes mellitus (GDM) classified as A1 (well controlled by diet) or A2 (requiring medication). We calculated odds ratios (aORs) of complications per employment, and each industrial classification was adjusted for individual risk factors. Results: Most (64.7%) were in employment during pregnancy. Manufacturing (16.4%) and the health and social (16.2%) work represented the most prevalent industries. The health and social work exhibited a higher risk of PE (aOR = 1.11, 95% confidence interval [CI]: 1.03-1.21), while the manufacturing industry demonstrated a higher risk of class A2 GDM (1.20, 95% CI: 1.03-1.41) than financial intermediation. When analyzing both classes of GDM, women who worked in public administration and defense/social security showed higher risk of class A1 GDM (1.04, 95% CI: 1.01, 1.07). When comparing high-risk industries with nonemployment, the health and social work showed a comparable risk of PE (1.02, 95% CI: 0.97, 1.07). Conclusion: Employment was associated with overall lower risks of obstetric complications. Health and social service work can counteract the healthy worker effect in relation to PE. This highlights the importance of further elucidating specific occupational risk factors within the high-risk industries.

• 한국간호교육학회지
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• 제27권2호
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• pp.175-185
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• 2021

Purpose: The aim of this study was to identify core keywords and topic groups in the 'Gestational diabetes mellitus (GDM) and Breastfeeding' field of research for better understanding research trends in the past 20 years. Methods: This was a text-mining and topic modeling study composed of four steps: 1) collecting abstracts, 2) extracting and cleaning semantic morphemes, 3) building a co-occurrence matrix, and 4) analyzing network features and clustering topic groups. Results: A total of 635 papers published between 2001 and 2020 were found in databases (Web of Science, CINAHL, RISS, DBPIA, RISS, KISS). Among them, 3,639 words extracted from 366 articles selected according to the conditions were analyzed by text network analysis and topic modeling. The most important keywords were 'exposure', 'fetus', 'hypoglycemia', 'prevention' and 'program'. Six topic groups were identified through topic modeling. The main topics of the study were 'cardiovascular disease' and 'obesity'. Through the topic modeling analysis, six themes were derived: 'cardiovascular disease', 'obesity', 'complication prevention strategy', 'support of breastfeeding', 'educational program' and 'management of GDM'. Conclusion: This study showed that over the past 20 years many studies have been conducted on complications such as cardiovascular diseases and obesity related to gestational diabetes and breastfeeding. In order to prevent complications of gestational diabetes and promote breastfeeding, various nursing interventions, including gestational diabetes management and educational programs for GDM pregnancies, should be developed in nursing fields.

• Genomics & Informatics
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• 제20권3호
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• pp.26.1-26.19
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• 2022

Diabetes and its related complications are associated with long term damage and failure of various organ systems. The microvascular complications of diabetes considered in this study are diabetic retinopathy, diabetic neuropathy, and diabetic nephropathy. The aim is to identify the weighted co-expressed and differentially expressed genes (DEGs), major pathways, and their miRNA, transcription factors (TFs) and drugs interacting in all the three conditions. The primary goal is to identify vital DEGs in all the three conditions. The overlapped five genes (AKT1, NFKB1, MAPK3, PDPK1, and TNF) from the DEGs and the co-expressed genes were defined as key genes, which differentially expressed in all the three cases. Then the protein-protein interaction network and gene set linkage analysis (GSLA) of key genes was performed. GSLA, gene ontology, and pathway enrichment analysis of the key genes elucidates nine major pathways in diabetes. Subsequently, we constructed the miRNA-gene and transcription factor-gene regulatory network of the five gene of interest in the nine major pathways were studied. hsa-mir-34a-5p, a major miRNA that interacted with all the five genes. RELA, FOXO3, PDX1, and SREBF1 were the TFs interacting with the major five gene of interest. Finally, drug-gene interaction network elucidates five potential drugs to treat the genes of interest. This research reveals biomarker genes, miRNA, TFs, and therapeutic drugs in the key signaling pathways, which may help us, understand the processes of all three secondary microvascular problems and aid in disease detection and management.

• International Journal of Computer Science & Network Security
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• 제23권12호
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• pp.204-212
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• 2023

Diabetes is a condition that can be brought on by a variety of different factors, some of which include, but are not limited to, the following: age, a lack of physical activity, a sedentary lifestyle, a family history of diabetes, high blood pressure, depression and stress, inappropriate eating habits, and so on. Diabetes is a disorder that can be brought on by a number of different factors. A chronic disorder that may lead to a wide range of complications. Diabetes mellitus is synonymous with diabetes. There is a correlation between diabetes and an increased chance of having a variety of various ailments, some of which include, but are not limited to, cardiovascular disease, nerve damage, and eye difficulties. There are a number of illnesses that are connected to kidney dysfunction, including stroke. According to the figures provided by the International Diabetes Federation, there are more than 382 million people all over the world who are afflicted with diabetes. This number will have risen during the years in order to reach 592 million by the year 2035. There are a substantial number of people who become victims on a regular basis, and a significant percentage of those people are uninformed of whether or not they have it. The individuals who are most adversely impacted by it are those who are between the ages of 25 and 74 years old. This paper reviews about various machine learning techniques used to detect diabetes mellitus.