• Journal of East-West Nursing Research
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• v.29 no.2
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• pp.106-116
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• 2023

Purpose: The purpose of this study was to identify the impact of obesity on the incidence of diabetes mellitus in adults with pre-diabetes. Methods: This study employed a longitudinal study design and utilized secondary data drawn from the Korean Genome and Epidemiology Study. This study used data from a sample of 3,693 adults with prediabetes who were followed every two years from 2001 to 2018. Statistical data analysis for frequency, number of cases per 1,000 person-years, log-rank test, Kaplan-Meier curve, and Cox's proportional hazards regression analysis was performed using IBM SPSS statistics version 26. Results: During the observation period, there were 1,309 (35.4%) patients with diabetes, and the total number of person-years was 35,342. The incidence of diabetes was higher in the obese group compared to the normal weight group (body mass index [BMI]: hazard ratio=1.57, 95% confidence interval [CI]=1.40~1.77, waist: hazard ratio=1.55, 95% CI=1.38~1.76, waist to hip ratio [WHR]: hazard ratio=1.53, 95% CI=1.24~1.89, body fat [BF] (%): hazard ratio=1.42, 95% CI=1.27~1.61). Conclusion: An increase in BMI, waist circumference, and WHR, which are indicators of obesity, can exacerbate the risk factors for diabetes. Thus, a decrease in BMI, waist circumference, and WHR is necessary to prevent pre-diabetes. In particular, health care professionals should provide individualized weight management program interventions, including adult obesity programs and obesity counseling in partnership with local health departments, to reduce BMI and waist circumference in people at high risk for diabetes.

• International journal of advanced smart convergence
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• v.10 no.2
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• pp.73-78
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• 2021

Recently, the number of people who visit the hospital due to diabetes is increasing. According to the Korean Diabetes Association, it is statistically indicated that one in seven adults aged 30 years or older in Korea suffers from diabetes, and it is expected to be more if the pre-diabetes, fasting blood sugar disorders, are combined. In the last study, the validity of Triglyceride and Cholesterol associated with diabetes was confirmed and analyzed using Random Forest. Random Forest has a disadvantage that as the amount of data increases, it uses more memory and slows down the speed. Therefore, in this paper, we compared and analyzed Random Forest and XGBoost, focusing on improvement of learning speed and prevention of memory waste, which are mainly dealt with in machine learning. Using XGBoost, the problem of slowing down and wasting memory was solved, and the accuracy of the diabetes recognition factor was further increased.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.9
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• pp.2904-2926
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• 2022

Currently, diabetes is the most common chronic disease in the world, affecting 23.7% of the population in the Kingdom of Saudi Arabia. Diabetes may be the cause of lower-limb amputations, kidney failure and blindness among adults. Therefore, diagnosing the disease in its early stages is essential in order to save human lives. With the revolution in technology, Artificial Intelligence (AI) could play a central role in the early prediction of diabetes by employing Machine Learning (ML) technology. In this paper, we developed a diagnosis system using machine learning models for the detection of type 2 diabetes among adults, through the adoption of two different diabetes datasets: one for training and the other for the testing, to analyze and enhance the prediction accuracy. This work offers an enhanced classification accuracy as a result of employing several pre-processing methods before applying the ML models. According to the obtained results, the implemented Random Forest (RF) classifier offers the best classification accuracy with a classification score of 98.95%.

• Journal of Periodontal and Implant Science
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• v.38 no.3
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• pp.511-520
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• 2008

Purpose: Diabetes mellitus is a clinically and genetically heterogeneous group of metabolic disorders manifested by abnormally high levels of glucose in the blood. Mounting evidence demonstrates that diabetes is a risk factor for gingivitis and periodontitis. The circulating mononuclear phagocytes in diabetic patients with hyperglycemia are chronically exposed to high level of serum glucose. Thus, this study attempted to determine the effect of pre-exposure of monocytes and macrophages to high concentration of glucose on lipopolysaccharide (LPS)-induced production of pro-inflammatory mediators. Material and Methods: For this purpose, cells were cultured in medium containing normal (5 mM) or high glucose (25 mM) for 4-5 weeks before treatment for 24 h with LPS. LPS was highly purified from Porphyromonas gingivalis or Prevotella intermedia by phenol extraction. Result: Results showed that prolonged pre-exposure of cells to high glucose markedly increased LPS-stimulated NO secretion when compared to normal glucose. In addition to NO, high glucose also augmented LPS-stimulated IL-6, IL-8, and TNF-$\alpha$ secretion after cells were exposed to high glucose for 4 weeks. Conclusion: The present study demonstrates that pre-exposure of mononuclear phagocytes with high glucose augments LPS-stimulated production of pro-inflammatory mediators. These findings may explain why periodontal tissue destruction in diabetic patients is more severe than that in non-diabetic individuals.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.13
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• pp.5423-5425
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• 2014

Purpose: To evaluate the risk factors for endometrial hyperplasia concomitant endometrial polyps in pre- and post-menopausal women. Materials and Methods: A total of 203 patients undergoing endometrial sampling before hysterectomy were evaluated in this retrospective study. Data recorded were age, gravidity, parity, body mass index (BMI: weight(kg)/$height(m)^2$), endometrial thickness (ET), menopausal status, presence of adenomyosis and diabetes mellitus. Results: Endometrial hyperplasia and polyps were detected in 13 patients. There were statistically significant differences in terms of age, menopausal status, morbid obesity and diabetes mellitus (p<0.005). Logistic regression demonstrated that menopausal status and presence of diabetes mellitus were independent risk factors. Conclusions: According to the current study; menopause and diabetes mellitus are strong risk factors for the presence of concomitant endometrial polyps and endometrial hyperplasia.

• Korean Journal of Clinical Laboratory Science
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• v.42 no.3
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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.

• Journal of Preventive Medicine and Public Health
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• v.56 no.2
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• pp.190-195
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• 2023

Objectives: Pregnancy complications, including pre-eclampsia, gestational diabetes (GDM), and perinatal mood and anxiety disorders (PMADs), impact long-term health. We compared the frequency of screening documentation for pregnancy complications versus a general medical history at well woman visits between providers in primary care and obstetrics and gynecology. Methods: We conducted a retrospective cohort study of subjects with at least 1 prior birth who presented for a well woman visit in 2019-2020. Charts were reviewed for documentation of a general medical history (hypertension, diabetes, and mood disorders) versus screening for comparable obstetric complications (pre-eclampsia, GDM, and PMADs). The results were compared using the McNemar and chi-square tests as appropriate. Results: In total, 472 encounters were identified, and 137 met the inclusion criteria. Across specialties, clinicians were significantly more likely to document general medical conditions than pregnancy complications, including hypertensive disorders (odds ratio [OR], 2.45; 95% confidence interval [CI], 1.18 to 5.48), diabetes (OR, 7.67; 95% CI, 3.27 to 22.0), and mood disorders (OR, 10.5; 95% CI, 3.81 to 40.3). Obstetrics and gynecology providers were more likely to document any pregnancy history (OR, 4.50; 95% CI, 1.24 to 16.27); however, they were not significantly more likely to screen for relevant obstetric complications (OR, 2.49; 95% CI, 0.90 to 6.89). Overall, the rate of pregnancy complication documentation was low in primary care and obstetrics and gynecology clinics (8.8 and 19.0%, respectively). Conclusions: Obstetrics and gynecology providers more frequently documented a pregnancy history than those in primary care; however, the rate was low across specialties, and providers reported screening for clinically relevant complications less frequently than for general medical conditions.

• Child Health Nursing Research
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• v.30 no.1
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• pp.17-30
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• 2024

Purpose: This pilot study aimed to assess the feasibility, preliminary efficacy, and effects of a mobile app healthcare coaching program developed based on self-regulation theory among youths with type 1 diabetes. Methods: A mixed-method design was utilized. Participants were randomly assigned into intervention (n=23, 12-week coaching program) or control groups (n=16, usual care). Pre- and post-intervention assessments included self-efficacy, diabetes management behavior, and health outcomes (quality of life, depression, and HbA1c). Quantitative data were analyzed with SPSS/WIN ver. 26.0. The narrative information from the participants in the healthcare coaching program underwent content analyzed. Results: The intervention group had significantly lower depression scores (t=2.57, p=.014) than the control group. No significant differences were observed in self-efficacy, diabetes management behavior, and health outcomes between the two groups. The average frequency of health behavior monitoring per week among the participants was 1.86±1.60. The qualitative findings indicated that participants perceived improved diabetes self-management with the intervention; however, challenges during vacations, dietary control difficulties, and a lack of disease awareness were identified. Conclusion: The healthcare coaching program improved psychological aspects for youth with type 1 diabetes. Further research is needed to develop and implement mobile app interventions aimed at enhancing compliance with diabetes management in pediatric and adolescent populations.

• Journal of agricultural medicine and community health
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• v.47 no.2
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• pp.67-77
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• 2022

Objective: This study was to evaluate the effectiveness of an individually tailored program based on self-measurement of blood glucose on health behavior and HbA1c in diabetes and pre-diabetes patients. Methods: The program consisted of seven sessions for 12 weeks which were carried out every two weeks. Almost all sessions were progressed on untact method except for the first and last session. The 71 subjects were assessed for their knowledge of diabetes, health behavior, the experience of self-measurement of blood glucose, body mass Index (BMI) and hemoglobin A1c (HbA1c) at before and after the program. They were also evaluated on their degree of utilization of blood glucose measurements after the program. Results: Each mean score on their knowledge of diabetes, health behavior and the experience of self-measurement of blood glucose was significantly increased from 14.77, 25.50, and 2.70 to 15.41, 28.40, and 4.81, respectively. Each mean score on both BMI and HbA1c (n=53) was significantly decreased from 24.47kg/m² and 7.27% to 24.01kg/m² and 6.67%, respectively. The post-HbA1c had a significant negative correlation(r=-0.415) with the degree of utilization of blood glucose measurements. The degree of utilization of blood glucose measurements had a significant positive correlation(r=0.581) with post-health behavior. Conclusions: The program shows effectiveness in improving HbA1c in Type 2 diabetes and pre-diabetes patients. The post-HbA1c might be related to the degree of utilization of blood glucose measurements which might be related to the health behavior.

• Journal of Korean Biological Nursing Science
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• v.26 no.2
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• pp.71-82
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• 2024

Purpose: This study systematically analyzed the impact of aromatherapy on pain in individuals with diabetes. Methods: A search was performed in seven electronic databases based on the PICO-SD (Population, Intervention, Comparison, Outcome, Study Design) framework. The population (P) of interest was individuals with diabetes, and the intervention (I) included aromatherapy targeting pain reduction. The comparison (C) consisted of control groups that received no intervention, another intervention, or usual care. The outcome (O) measured was pain. The quality of the selected literature was assessed using the Joanna Briggs Institute checklist. In MIX 2.0 Pro, the pooled overall effect of pain was calculated using Hedge's g and a random-effects model, and heterogeneity was calculated using the Q statistic and Higgin's I2 values. Meta-regression and exclusion sensitivity analyses were performed. Results: Five articles and seven studies were included, showing a significant pooled overall effect of aromatherapy on diabetes-related pain (Hedge's g = -1.83, 95% CI: -2.76 to -0.91). Meta-regression demonstrated that effectiveness in reducing pain was associated with studies conducted in West Asia, those with IRB approval, and those receiving funding. Additionally, interventions involving subjects under 60, lavender oil (vs. turpentine oil or blended oils), massage therapy (vs. topical application), fewer hours per session, and more repeated measurements (vs. pre/post measurements) were associated with pain reduction. Conclusion: Aromatherapy, especially with lavender oil, effectively manages diabetes-related pain. Short-duration massage application is also effective. A personalized selection of oil type and application method could optimize therapeutic outcomes for individuals with diabetes.