• Research in Community and Public Health Nursing
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• v.30 no.3
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• pp.271-280
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• 2019

Purpose: This study evaluates the efficacy of a Self-Care Reinforcement Program (SCRP) based on the Selection Optimization Compensation (SOC) model, in socially vulnerable elderly women with metabolic syndrome. Methods: This study adopts a pretest-posttest nonequivalent control group design. The participants were 64 socially vulnerable elderly Korean women with metabolic syndrome (experimental group: 31, control group: 33). Participants' body composition analysis, nutrient intake, risk factors of metabolic syndrome, depressive symptoms, and social network were measured. Data were analyzed with an independent t-test; statistical significance levels were set at p<.05. The SCRP, including metabolic syndrome education, nutritional education, exercise, and social network, was performed three times a week for 8 weeks. Results: There were statistically significant differences between the experimental and control groups in terms of systolic blood pressure, diastolic pressure, fasting blood sugar, triglycerides, sodium intake, depressive symptoms, and social networks. Conclusion: The SCRP is effective and can be recommended as a community health nursing intervention for socially vulnerable elderly women with metabolic syndrome.

• International Journal of Computer Science & Network Security
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• v.24 no.9
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• pp.119-126
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• 2024

Diabetes is a chronic condition that happens when the pancreas fails to produce enough insulin or when the body's insulin is ineffectively used. Uncontrolled diabetes causes hyperglycaemia, or high blood sugar, which causes catastrophic damage to many of the body's systems, including the neurons and blood vessels, over time. The burden of disease on the global healthcare system is enormous. As a result, early diabetes diagnosis is critical in saving many lives. Current methods for determining whether a person has diabetes or is at risk of acquiring diabetes, on the other hand, rely heavily on clinical biomarkers. This research presents a unique deep learning architecture for predicting whether or not a person has diabetes and the severity levels of diabetes from the person's retinal image. This study incorporates datasets such as EyePACS and IDRID, which comprise Diabetic Retinopathy (DR) images and uses Dense-121 as the base due to its improved performance.

• Korean Journal of Community Nutrition
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• v.7 no.2
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• pp.219-231
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• 2002

The purpose of this study was to collect basic data on the prevention of and education about diabetes mellitus for the nutritional management of a diabetes mellitus risk group. The study which took place in Kangbukgu, Seoul, involved a diabetes mellitus risk group (DMR $\geq$ 110 mg/dL, 61), of males and females, aged 36 to 68 years, and a group of healthy people as a control group ( < 110 mg/dL, 183), using luting blood sugar (FBS) levels. The proportion of people in the abnormal range was higher in the DMR than that of control group for total cholesterol, high-density lipoproteins-cholesterol (HDL-C), total protein, glutamic oxaloacetic transaminase (GOT), glutamic pyruvic transaminase (GPT) and creatinine. Particularly with respect to serum protein the proportion in the DMR in abnormal range (p < 0.05) was significantly higher than that of the control group. The proportion in the DMR with a family history of disease was significantly higher than that of the control group (p < 0.01). Using body mass index (BMI), waist-hip ratio (WHR) and relative body weight (RBW), the obesity indices in the DMR was higher than that of the control group. Comparing the DMR and the control group with respect to dietary habits, it seems that the DMR had more undesirable dietary habits than the control group. When the intake of each nutrient for the DMR and the control group was compared to the Korean recommended dietary allowances (RDA), the proportion of excess intake and deficient intake in the DMR was higher than that of the control group. The DMR showed a greater undesirable dietary intake pattern as compared to that of the control group, based on the RDA. With respect to the dietary diversity score (DDS) and the mean adequacy ratio (MAR) for quality estimation of the overall flood intake, the DMR showed a feater undesirable pattern than the control group. According to the above results, the DMR tended to have more undesirable eating habits when compared to the control group. Therefore, to provide a more efficient nutritional education program for the DMR we must conduct lurker studies on eating habits, so as to provide systematic nutritional management based on theme differences between the DMR and the control group.

• Safety and Health at Work
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• v.2 no.1
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• pp.9-16
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• 2011

The majority of people diagnosed with diabetes mellitus are in the working age group in developing countries. The interrelationship of diabetes and work, that is, diabetes affecting work and work affecting diabetes, becomes an important issue for these people. Therapeutic options for the diabetic worker have been developed, and currently include various insulins, insulin sensitizers and secretagogues, incretin mimetics and enhancers, and alpha glucosidase inhibitors. Hypoglycemia and hypoglycaemic unawareness are important and unwanted treatment side effects. The risk they pose with respect to cognitive impairment can have safety implications. The understanding of the therapeutic options in the management of diabetic workers, blood glucose awareness training, and self-monitoring blood glucose will help to mitigate this risk. Employment decisions must also take into account the extent to which the jobs performed by the worker are safety sensitive. A risk assessment matrix, based on the extent to which a job is considered safety sensitive and based on the severity of the hypoglycaemia, may assist in determining one's fitness to work. Support at the workplace, such as a provision of healthy food options and arrangements for affected workers will be helpful for such workers. Arrangements include permission to carry and consume emergency sugar, flexible meal times, selfmonitoring blood glucose when required, storage/disposal facilities for medicine such as insulin and needles, time off for medical appointments, and structured self-help programs.

• Journal of Nutrition and Health
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• v.49 no.5
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• pp.295-303
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• 2016

Purpose: The objective of this study was to compare the effects of three different levels of xylobiose containing sucrose on glycemic indices based on oral glucose tolerance test (OGTT) and blood glucose response in healthy adults. Methods: Healthy adults (six male and five female participants, n = 11) underwent 14~16 hr of fasting. Subsequently, all participants took 50 g of available carbohydrates from glucose, sucrose containing 7% xylobiose (XB 7), sucrose containing 10% xylobiose (XB 10), or sucrose containing 14% xylobiose (XB 14) every week on the same day for 8 weeks. Finger prick blood was taken before and 15, 30, 45, 60, 90, and 120 min after starting to eat. Results: We observed reduction of the glycemic response to sucrose containing xylobiose. The glycemic indices of XB 7, XB 10, and XB 14 were 57.0, 53.6, and 49.7, respectively. The GI values of XB 7 were similar to those of foods with medium GI, and the GI values of XB 10 and XB 14 were similar to those of foods with low GI. The postprandial maximum blood glucose rise (Cmax) of XB 14 was the lowest among the test foods. XB 7, XB 10, and XB 14 showed significantly lower areas under the glucose curve (AUC) for 0~30 min, 0~60 min, 0~90 min and 0~120 min compared to glucose. Conclusion: The results of this study suggest that sucrose containing xylobiose has an acute suppressive effect on GI and postprandial maximum blood glucose rise. In addition, levels of xylobiose in sugar may allow more precise assessment of carbohydrate tolerance despite lower glycemic responses in a dose-dependent manner.

• Perspectives in Nursing Science
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• v.5 no.1
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• pp.1-15
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• 2008

Background: Recent changes in the medical environment have increased the need for the home health care nursing in Korea. Even though the number of home health care patients is increasing, the major nursing problems have not been identified due to lack of a standardized nursing diagnosis. Aim: An investigative study was conducted to determine the frequency and appropriateness of nursing problems in hospital-based home health care patients in Korea using two internationally standardized nursing diagnosis classification systems. Methods: Nursing records of 249 hospital-based home health care patients were reviewed and nursing problems were identified using the North American Nursing Diagnosis Association Nursing Diagnosis Taxonomy I (NANDA) and the Clinical Care Classification of Nursing Diagnoses (CCC). Findings: Out of 463 nursing problems. 403 nursing problems were described using the NANDA whereas 427 nursing problems were described using the CCC. Nursing diagnoses not captured by the NANDA classification include nausea/vomiting, anorexia, risk for nutrition deficit, decreased blood pressure, dying process, blood sugar impairment. infection unspecified, and disuse syndrome. Nursing diagnoses not captured by the CCC include nausea/vomiting and anorexia. Conclusions: In describing nursing problems of home health care patients, it was found that the CCC was able to represent more diagnoses than the NANDA.

• The Journal of Internal Korean Medicine
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• v.25 no.3
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• pp.602-608
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• 2004

Diabetes mellitus is a metabolic disorder characterized by hyperglycemia which results from one or both of decreased insulin secretion and increased insulin resistance. Chronic hyperglycemia causes damage to the eyes, kidneys, nerves, heart and blood vessels. The major goal in treating diabetes mellitus is controlling elevated blood sugars without causing abnormally low levels of blood sugar. A 67-year-old woman was admitted with hyperglycemia, thirst, Lt. leg numbness and both leg weakness. The patient was diagnosed as So-gal(消渴) due to dry ness-heat based on yin-deficiency(陰虛燥熱) through oriental medicine and NIDDM through western medicine. The patient was treated with oriental and western medicines. Specifically herbal medicine(Gamijihwangtang), acupuncture, moxa theraphy were used as well as oral medications. Clinical symptoms improved and hyperglycemia dramatically stablized.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.349-357
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• 2019

The purpose of this study was to investigate the effects of body mass index(BMI) on insulin. fasting blood sugar(FBS), and hemoglobin A1c(HbA1c). This study analyzed the data of 2015, The Sixth KNHANES, and it was included to 4554 subject over 20 years old. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficient and stepwise multiple regression analysis(SPSS 25.0). The major findings, BMI was positively correlated with insulin(r=0.397, p<0.001), FBS(r=0.241, p<0.001), and HbA1c(r=0.237, p<0.001). Factors affecting insulin are overweight(${\beta}=.130$, t=8.193, p<0.001), obesity(${\beta}=.390$, t=24.390, p<0.001) and age. the explanatory power is 13.1% (F=53.584, p<0.001). Factors affecting FBS were overweight(${\beta}=.072$, t=4.478, p<0.001), obesity(${\beta}=.186$, t= 11.485, p<0.001), age, the explanatory power was 10.6% (F=42.351, p<0.001). Factors affecting HbA1c were overweight(${\beta}=.059$, t=3.712, p<0.001), obesity(${\beta}=.190$, t=11.895, p<0.001) age and sex, the explanatory power is 14.1% (F=58.134, p<0.001). Based on this study result, diabetes mellitus prevention and management programs should include interventions related to obesity.

• Journal of radiological science and technology
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• v.46 no.5
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• pp.367-377
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• 2023

This study investigates the utility of the Triglyceride-glucose(TyG) index and Cardiometabolic Index(CMI) as predictors for diagnosing metabolic syndrome. The study involved 1970 males, 1459 females, totaling 3429 participants who underwent health checkups at P Hospital in Busan between January 2023 and June 2023. Metabolic syndrome diagnosis was based on the presence of 3 or more risk factors out of the 5 criteria outlined by the American Heart Association/National Heart, Lung, and Blood Institute(AHA/NHLBI), and participants with 2 or fewer risk factors were categorized as normal. Statistical analyses included independent sample t-tests, chi-square tests, Pearson's correlation analysis, Receiver Operating Characteristic(ROC) curve analysis, and logistic regression analysis, using the Statistical Package for the Social Sciences(SPSS) program. Significance was established at p<0.05. The comparison revealed that the metabolic syndrome group exhibited attributes such as advanced age, male gender, elevated systolic and diastolic blood pressures, high blood sugar, elevated triglycerides, reduced LDL-C, elevated HDL-C, higher Cardiometabolic Index, Triglyceride-glucose index, and components linked to abdominal obesity. Pearson correlation analysis showed strong positive correlations between waist circumference/height ratio, waist circumference, Cardiometabolic Index, and triglycerides. Weak positive correlations were observed between LDL-C, body mass index, and Cardiometabolic index, while a strong negative correlation was found between Cardiometabolic Index and HDL-C. ROC analysis indicated that the Cardiometabolic Index(CMI), Triglyceride-glucose(TyG) index, and waist circumference demonstrated the highest Area Under the Curve(AUC) values, indicating their efficacy in diagnosing metabolic syndrome. Optimal cut-off values were determined as >1.34, >8.86, and >84.5 for the Cardiometabolic Index, Triglyceride-glucose index, and waist circumference, respectively. Logistic regression analysis revealed significant differences for age(p=0.037), waist circumference(p<0.001), systolic blood pressure(p<0.001), triglycerides(p<0.001), LDL-C(p=0.028), fasting blood sugar(p<0.001), Cardiometabolic Index(p<0.001), and Triglyceride-glucose index (p<0.001). The odds ratios for these variables were 1.015, 1.179, 1.090, 3.03, and 69.16, respectively. In conclusion, the Cardiometabolic Index and Triglyceride-glucose index are robust predictive indicators closely associated with metabolic syndrome diagnosis, and waist circumference is identified as an excellent predictor. Integrating these variables into clinical practice holds the potential for enhancing early diagnosis and prevention of metabolic syndrome.

• Journal of Korean Academy of Nursing
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• v.44 no.4
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• pp.437-445
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• 2014

Purpose: This study was done to identify pain perception (P-PER) by nurses and pain expression (P-EXP) by patients in critical care units (ICUs) and degree of agreement between nurses' P-PER and patients' P-EXP. Methods: Nurses' P-PER was measured with a self-administered questionnaire completed by 99 nurses working in ICUs during May, 2013. Patients' P-EXP was measured with the Critical Care Non-Verbal Pain Scale through observations of 31 ICU patients during nine nursing procedures (NPs) performed between May and July, 2013. Results: Nurses' P-PER was from 4.49 points for nasogastric tube (NGT) insertion to 0.83 for blood pressure (BP) measurement based on a 9-point scale, Patients' P-EXP was 4.48 points for NGT to 0.18 for BP measurement based on a 10-point scale. Eight NPs except oral care showed higher scores for nurses' P-PER than for patients' P-EXP. Position change (p=.019), subcutaneous injection (p<.001), blood sugar test (p<.001), and BP measurement (p<.001) showed significant differences between nurses' P-PER and patients' P-EXP. Conclusion: Nasogastric tube (NGT) insertion was scored highest by both nurses and patients. Eight NPs except 'oral care' showed nurses' P-PER was higher or similar to patients' P-EXP, which indicates that nurses may overestimate procedural pain experienced by patients.