• International Journal of Computer Science & Network Security
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• v.21 no.9
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• pp.19-30
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• 2021

Diabetes Mellitus (DM) is one of common chronic diseases leading to severe health complications that may cause death. The disease influences individuals, community, and the government due to the continuous monitoring, lifelong commitment, and the cost of treatment. The World Health Organization (WHO) considers Saudi Arabia as one of the top 10 countries in diabetes prevalence across the world. Since most of the medical services are provided by the government, the cost of the treatment in terms of hospitals and clinical visits and lab tests represents a real burden due to the large scale of the disease. The ability to predict the diabetic status of a patient without the laboratory tests by performing screening based on some personal features can lessen the health and economic burden caused by diabetes alone. The goal of this paper is to investigate the prediction of diabetic and prediabetic patients by considering factors other than the laboratory tests, as required by physicians in general. With the data obtained from local hospitals, medical records were processed to obtain a dataset that classified patients into three classes: diabetic, prediabetic, and non-diabetic. After applying three machine learning algorithms, we established good performance for accuracy, precision, and recall of the models on the dataset. Further analysis was performed on the data to identify important non-laboratory variables related to the patients for diabetes classification. The importance of five variables (gender, physical activity level, hypertension, BMI, and age) from the person's basic health data were investigated to find their contribution to the state of a patient being diabetic, prediabetic or normal. Our analysis presented great agreement with the risk factors of diabetes and prediabetes stated by the American Diabetes Association (ADA) and other health institutions worldwide. We conclude that by performing class-specific analysis of the disease, important factors specific to Saudi population can be identified, whose management can result in controlling the disease. We also provide some recommendations learnt from this research.

• Korean Journal of Veterinary Pathology
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• v.2 no.1
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• pp.17-24
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• 1998

This is the first report of c-Jun protein expression and mRNA in a pancreatic islet in a nonobese diabetic(NOD) state mice. In this experiment NOD mice with insulin-dependent diabetes mellitus type I at age 16 weeks(n=7) just before death(n=4) were used. The control group consist of prediabetic NOD(8 weeks n=7) and ICR(8 weeks n=7 and 16 weeks n=7) mice. c-Jun positive cells in the pancreatic islet of NOD mice were localized in the same positions as a-glucagon producing cells. immunoreactivity was negative in the prediabetic NOD(8 weeks) and ICR(8 weeks and 16 weeks) mice. The number of c-Jun positive cells in mice with severe diabetic state just before death were significantly decreased when compared to NOD(16 weeks) mice. Expression of c-Jun in mRNA level was assessed by RT-PCR method. The levels of mRNA in NOD(16 weeks) mice group were elevated in total pancreatic tissues. The present results suggest that the induction of proto-oncogene protein may be of significance in assessing cell specific injury and may play a functional role between pancretic islet $\alpha$-cells and $\beta$-cells in the diabetic state.

• Culinary science and hospitality research
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• v.23 no.8
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• pp.184-194
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• 2017

The purpose of this study was to investigate the relationship between coffee intake and metabolic syndrome, which has increased the burden of social illness, based on the data of the $6^{th}$ National Health and Nutrition Survey in 2015. The subjects' coffee intake level was divided into <1 cup/a day, 1~2 cups/a day, and ${\geq}3cups/a\;day$ and the general characteristics of the subjects were examined according to the classification. The effect of coffee consumption on the risk factors of metabolic syndrome was evaluated by OR value. The age of the subjects was higher than that of the other groups in the < 1 cup/day group and the TG in the prediabetic group was above the normal level in the ${\geq}3cups/day$ group. In the normal group of blood glucose, coffee intake was the highest in <1 cup/day group and BP was significantly different according to intake. In the multiple regression analysis conducted to identify the causal relationship between the risk of metabolic syndrome and coffee intake, BP was significantly decreased in ${\geq}3cups/day$ coffee group in normal group. In order to control the level of blood lipids in pre-diabetic subjects, it is necessary to establish dietary guidelines for foods that are frequently consumed, and various situations and long-term studies are needed to determine the precise effect of coffee intake on BP.

• Perspectives in Nursing Science
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• v.12 no.1
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• pp.33-41
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• 2015

Purpose: This study attempted to describe hospital nurses' pre-diabetes knowledge, performance and expectation of patient. Methods: The total of 204 hospital nurses were administered the questionnaires. The questionnaire comprises general background information (including sex, age, religion, education and career), ten researcher-generated questions regarding knowledge about pre-diabetes, performance of patient education (including how many people encounter in workplace, how often teaching, how many minutes required to teach and course contents) and expectation (including need improvement of teaching, barrier to education and desirable course contents and teaching methods) Results: The average score of hospital nurses' pre-diabetes knowledge was as low as 0.82 (82% correctness). On comparison of the knowledge levels among ten pre-diabetes knowledge dimensions, the highest score was 0.95 for necessary of medical check-up. The lowest score was 0.57 for complication can rarely happen. Significant correlations were observed for education, career and knowledge regarding pre-diabetes. Moreover, 49.5% of the nurses did not instruct patients about pre-diabetes, 24.5% taught prevention skills to a third of the pre-diabetes patients they encountered, and 61.2% nurses disseminated information under 5 minutes. Improvement was necessary for 78 nurses (75.8%). Conclusion: Pre-diabetes awareness among nurses is necessary.

• Nutrition Research and Practice
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• v.12 no.3
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• pp.233-242
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• 2018

BACKGROUND/OBJECTIVES: The effects of fish consumption by subjects with prediabetes on the metabolic risk factors were examined based on the data from the $6^{th}$ Korea National Health and Nutrition Examination Surveys in 2015. SUBJECTS/METHODS: A total of 1,520 subjects who agreed to participate in a blood test and dietary intake survey were divided into a prediabetes group and normal blood glucose group, and the level of the subjects' fish consumption was divided into ${\leq}17.0g/day$, 18.0-93.0 g/day, and ${\geq}94g/day$. The correlation between the level of fish intake and the metabolic risk factors was evaluated by multinomial logistic regression analysis. RESULTS: A significant difference in the gender distribution was observed in the prediabetes group, which is a group with a high risk of non-communicable diseases, according to the fish intake, and there were significant differences in the total energy intake, protein intake, n-3 fatty acids intake, and the intakes of sodium and micro-nutrients according to the intake group (P < 0.05). In addition, the blood total cholesterol (TC) decreased 0.422 fold in model 1 (unadjusted) [95% confidence interval (CI): 0.211-0.845] and 0.422 fold in model 2 (adjusted for sex) (95% CI: 0.210-0.846) in those with a fish intake of 18.0-93.0 g/day (P < 0.05) compared to those with a fish intake of ${\leq}17.0g/day$. The blood TC decreased 0.555 fold (95% CI: 0.311-0.989) in model 1 and 0.549 fold (95% CI: 0.302-0.997) in model 2 in those with a fish intake of ${\geq}94g/day$ compared to those with a fish intake of ${\leq}17.0g/day$ (P < 0.05). CONCLUSION: Subjects with prediabetes or the metabolic risk factors can maintain their blood low density lipoprotein cholesterol (LDL-C) and blood TC concentrations at the optimal level by consuming fish (18.0-93.0 g/day).

• Nutrition Research and Practice
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• v.17 no.2
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• pp.228-240
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• 2023

BACKGROUND/OBJECTIVES: Cocoa consumption is associated with health benefits due to its high content of polyphenols. However, the effects of short-term cocoa consumption remain unclear. We aimed to determine the effects generated by cocoa consumption (for 7 days) in young adults in normoweight and class II obesity. SUBJECTS/METHODS: Before-and-after study was carried out in normoweight (NW) (n = 15) and class II obesity (CIIO) (n = 15) young adults. The NW and CIIO participants consumed 25 and 39 g of cocoa, respectively, per day for 7 days. The effect of cocoa consumption was evaluated on the lipid profile, insulin resistance (IR), and inflammation. Oxidative damage was also examined by assessing the biomarkers of oxidative damage in plasma. In addition, recombinant human insulin was incubated with blood obtained from the participants, and the molecular damage to the hormone was analyzed. RESULTS: Cocoa consumption resulted in decreased low-density lipoprotein-cholesterol in both groups (P = 0.04), while the total cholesterol, high-density lipoprotein cholesterol, and triglycerides were maintained at the recommended levels. Initially, IR was detected in the CIIO group (homeostasis model assessment [HOMA] = 4.78 ± 0.4), which is associated with molecular damage to insulin. Interestingly, intervention with cocoa resulted in improved IR (HOMA = 3.14 ± 0.31) (P = 0.0018) as well as molecular damage to insulin. Finally, cocoa consumption significant decreased the arginase activity (P = 0.0249) in the CIIO group; this is a critical enzymatic activity in the inflammatory process associated with obesity. CONCLUSIONS: The short-term consumption of cocoa improves the lipid profile, exerts anti-inflammatory effects, and protects against oxidative damage. Results of this study indicate that cocoa consumption can potentially improve IR and restore a healthy redox status.