Increase In Blood Sugar Levels Research Articles

RISK FACTORS AFFECTING THE OCCURRENCE OF DIABETES MELLITUS (TYPE 2) AT SULTAN ISKANDAR MUDA HOSPITAL NAGAN RAYA DISTRICT

Diabetes Mellitus (type 2) is a metabolic disease characterized by an increase in blood sugar levels caused by a decrease in insulin secretion or impaired insulin function. The aim of the study was to determine the risk factors that influence the incidence of type 2 diabetes mellitus at the Sultan Iskandar Muda Hospital, Nagan Raya Regency. The method used is quantitative with a cross-sectional research design. The sample in the study was 77 people using a purposive sampling technique. The research instrument uses a questionnaire sheet. The research analysis used univariate and bivariate analysis with the chi square test. The results of the study based on bivariate analysis found that there was a relationship between age (p-value=0.000), hypertension status (p-value=0.043), obesity status (p-value=0.019), consumption of risky foods: sweet foods (p-value= 0.039), sweet drinks (p-value=0.003), fatty/cholesterol foods (p-value=0.002), seasonings (p-value=0.016), fast food (p-value=0.002) , physical activity (p-value=0.023), and there was no relationship between gender (p-value=0.102), family history (p-value=0.364) and the incidence of type 2 diabetes mellitus. This study found that age, sex, family history, hypertension status, obesity status, consumption of risky foods and physical activity are risk factors that influence the incidence of type 2 diabetes mellitus. Suggestions, it is expected that type 2 .

ExpACVO-Hybrid Deep learning: Exponential Anti Corona Virus Optimization enabled Hybrid Deep learning for tongue image segmentation towards diabetes mellitus detection

A metabolic disease known as diabetes mellitus (DM) is primarily brought on by an increase in blood sugar levels. On the other hand, DM and the complications it causes, such as diabetic Retinopathy (DR), will quickly emerge as one of the major health challenges of the twenty-first century. This indicates a huge economic burden on health-related authorities and governments. The detection of DM in the earlier stage can lead to early diagnosis and a considerable drop in mortality. Therefore, in order to detect DM at an early stage, an efficient detection system having the ability to detect DM is required. An effective classification method, named Exponential Anti Corona Virus Optimization (ExpACVO) is devised in this research work for Diabetes Mellitus (DM) detection using tongue images. Here, the UNet-Conditional Random Field-Recurrent Neural Network (UNet-CRF-RNN) is used to segment the images, and the proposed ExpACVO algorithm is used to train the UNet-CRF-RNN. Deep Q Network (DQN) classifier is used for DM detection, and the proposed ExpACVO is used for DQN training. The proposed ExpACVO algorithm is a newly created formula that combines Anti Corona Virus Optimization(ACVO) with Exponential Weighted Moving Average (EWMA). With maximum testing accuracy, sensitivity, and specificity values of 0.932, 0.950, and 0.914, respectively, the developed technique thus achieved improved performance.

Non-invasive blood sugar detection by cost-effective capacitance spectroscopy

Abstract. Capacitance spectroscopy is a promising technique for detecting small changes in electrical properties of human blood such as conductivity, permittivity, capacitance, and dielectric constant due to the change of glucose concentration. We studied the capacitance of tissue-mimicking phantoms and the human body, in vitro and in vivo, for detecting blood sugar levels non-invasively by a simple and cost-effective setup. We found that, in tissue-mimicking phantoms, capacitance decreased ∼19 % for glucose concentration increases of 85 % with a correlation coefficient of R2=0.96. In the oral meal tolerance test (OMTT), the body capacitance increased less than 9 % for a 50 % increase in blood sugar level, and it followed the invasive reference with a lag time of ∼25–45 min and semi-invasive reference with a nominal time delay. This lag time is associated with the food digestion time and the diffusion time for the glucose to reach interstitial fluid from blood vessels. We also studied different types of metal pads made of copper, gold-coated copper, and aluminum with various sizes for system optimization. Considering the simplicity, low cost, easy operation, and moderate performance, this capacitive spectroscopy could potentially be a promising technique of detecting blood sugar levels and could be incorporated into other blood sugar detection techniques to reinforce the overall performance.

Pengaruh Konseling Gizi Terhadap Kepatuhan Diet dan Kadar Gula Darah Sewaktu Pada Pasien Diabetes Melitus Tipe 2

Type 2 diabetes mellitus is one of the incurable non-communicable diseases characterized by an uncontrolled increase in blood sugar levels. Type 2 diabetes mellitus requires proper management to prevent complications. The basic part of managing type 2 diabetes mellitus is nutrition counselung, with nutrition counseling can help patients in making decisions such as dietary arrangements in accordance with 3J (amount, schedule and type) and managing blood sugar levels. The purpose of this study analyzed the effect of nutritional counselung on detary complience and blood sugar levels in type 2 DM patients in kebondalem health centers. This research method is quasi experimental designs with a non-equvalent control group research design. The large number of subjects in this study was 20 people counsiting of 10 control group people and 10 experimental group people with Purposive sampling technique. Static analysis of this study using the Wilcoxon Test and Mc Nemar Test. Result showed that there was no influence of nutritional counseling on dietary compliance seen froom 3J (amount, type and schedule) in the control group while in the experimental group it showed the influence of nutritional counseling on the amount of protein and the amount of carbohidrates, but there was no effect of nutritional counseling on the amount of energy, fat, schedule and type in the experimental group, as well as the effect of nutritional counseling on blood sugar levels in the control group did not significanty and in experimental groups significanty.

EFFECT OF ALOE VERA AND CINNAMOMUM TAMALA ON BODY WEIGHT AND FEED INTAKE OF INDUCED DIABETIC MICE

Intraperitoneal injection of alloxanmonohydrate (200mg/kg)was used to inducediabetes in mice, with blood glucose levels(fasting) morethan 150mg/dl. Sixty nine mice were dividedinto 4 groups, Group I was non diabetic (normal). Group II was diabetic, Group III was the diabeticand treated with Cinnamomumtamala and group IV was diabetic and Aloe vera treated. There was noincrease in the blood glucoseat random and fasting in group Iwhereas, group II showed an increase inblood sugar level (91.00±2.65mg/dl to 250.00±3.79mg/dl) post 21 days. Cinnamomumtamala(50mg/kg) and Aloe vera (400mg/kg) appeared effective in reducing the blood sugar levels after 21days treatment. There was an increase in intake of feed and drop in body weight of group II comparedto group I. Cinnamomumtamala (50mg/kg) and Aloe vera (400mg/kg) was found effective regardingdecrease in feed intake. Increase in weight of mice occurred treated with Cinnamomumtamala(50mg/kg) and Aloe vera (400mg/kg)as compared to diabetic mice. Cinnamomumtamala and Aloevera were potentially efficient to treat hyperglycemia at recommended oral doses of 50 mg/kg and400mg/kg of body weight respectively.

Value of interdisciplinary approach in the management of type 2 diabetes mellitus, periodontitis, and tooth loss: Narrative review

The effects of diabetes mellitus (DM) Type 2 and periodontitis have been studied for several years. In this review, the bidirectional effects on both these chronic inflammatory diseases have been evaluated. Both the diseases are known to exacerbate the pathophysiology of each other and reduce the quality of life of individuals suffering from these conditions with added risk factors. Increased blood sugar levels act adversely on dental plaque and the immune system causing inflammation leading to periodontitis and bone loss which in turn affects insulin sensitivity. Identifying and treating one of these conditions will help in reducing the severity of the other. Literature search was performed from electronic databases through PubMed and Scopus of articles published since 1996–April 2022. We included the research studies toward studies relating to the importance of collaborative approach in the management of periodontal conditions in subjects with Type 2 DM as a major criterion among population globally. This article shows the significance of why dentists and physicians should collaborate with each other for managing the periodontal and diabetic conditions of the patients. Both the diseases can be immensely improved if the providers are knowledgeable about the concept and a team approach is utilized.

Komparasi Jarak Euclidean dan Manhattan Pada Algoritma K-Nearest Neighbor Dalam Mendeteksi Penyakit Diabetes Mellitus

Diabetes Mellitus is a chronic disease. This disease is caused by an increase in blood sugar levels in the body, it can cause diseases such as heart disease, obesity, and eye, kidney, and nerve diseases. Detection of Diabetes Mellitus is usually carried out by laboratory tests, so that patients have to undergo several medical tests to provide input values to a computerized diagnostic system which has proven to be expensive and has long queue times. From these problems, an artificial intelligence system is needed to diagnose this disease more easily and quickly. Therefore, the researcher aims to use an intelligent system to produce the highest accuracy from the results of the classification test using the K-Nearest Neighbor (K-NN) method with Euclidean distance and Manhattan distance. The class classifications used were pregnancy calculations, blood sugar in blood, blood pressure, skin fold thickness, insulin, body weight, diabetes genealogy dysfunction, and age. The research data in the form of datasets amounted to 450 datasets and the data was divided into two to determine the highest accuracy of 80% test data and 20% for training data. The highest accuracy using Euclidean distance is 84% with a value of K=5, and secondly, the Manhattan distance has the highest accuracy of 82% with a value of K=7.

THE EFFECT OF PROGRESSIVE MUSCLE RELAXATION ON REDUCING STRESS AND BLOOD SUGAR IN TYPE 2 DIABETES MELLITUS PATIENTS IN THE WORK AREA OF TANIWEL PUBLIC HEALTH CENTER

The main problems that often occur in people with Diabetes Mellitus (DM) are stress and an increase in blood sugar. Uncontrolled stress for a long time can lead to an increase in blood sugar levels, which can lead to various complications. One of the physical activities that can be done with relaxation is Progressive Muscle Relaxation (PMR) is an intervention that can be done in people with diabetes. The purpose of the study was to determine the effect of Progressive Muscle Relaxation (PMR) on increasing stress and blood sugar levels. The research design used a quasi-experimental approach with a pre-post-test control group design approach. The sample consisted of 36 respondents who were divided into 18 intervention groups and 18 control groups. The group was given a therapeutic intervention for 1 week with a duration of 2 times a day, namely in the morning and afternoon for 10-15 minutes. The instruments used are a glucometer, blood sugar level observation sheet, and Diabetes Distress Scale (DDS) questionnaire. Data analysis used the Wilcoxon test and Paired t-test to see pair data. Then for the research group, the data used the Man-Whitney Test. The results showed that there was a significant effect on decreasing blood pressure (p=0.013) and that there was an effect on decreasing blood sugar levels (p=0.034). Conclusion: Progressive Muscle Relaxation (PMR) affects reducing stress and blood sugar levels in Type 2 DM patients.

Upaya untuk Mencegah Penyakit Diabetes pada Usia Dini

Abstract – Diabetes Mellitus is a metabolic disorder that arises due to an increase in blood sugar levels that are above normal values that take place chronically. Indonesia is currently the 5th country with the highest prevalence of diabetes in the world. Diabetes Mellitus is a disease that cannot be cured, but can be prevented by adopting a healthy lifestyle properly. Objective: to analyze efforts that can be made to prevent diabetes from an early age. Method: The research method used is qualitative research with data collection techniques by conducting document reviews through data collection or scientific work that aims to collect bibliographical information. The technical data analysis uses the Miles and Huberman models. Results: (1) regulate diet; (2) doing physical activity; (3) checking sugar levels periodically; and (4) involve the role of the family in the prevention of diabetes. Conclusion: Diabetes Mellitus prevention efforts must be implemented early to minimize the risks that will occur in the future.

Preclinical study of goat milk kefir as an antihyperglycemic food

Background: Goat milk kefir is a functional food with numerous health benefits, including blood sugar control, cholesterol reduction, and improved digestive health. This study aims to determine the effect of kefir consumption on blood glucose levels in hyperglycaemic mice (Mus musculus) without affecting another blood chemistry. This study compared goat milk kefir products to other processed milk products considered to be capable of controlling and reducing blood sugar levels. Objective:This study aimed to compare goat milk kefir products to other processed food products considered to be capable of controlling and reducing blood sugar levels.Methods: Twenty-one mice, as experimental animals, were induced for 21 days with the high-fat and high fructose diet to increase blood sugar levels. After induction, mice were divided into 3 groups according to treatment, namely oral administration of additional distilled water (placebo), diabetasol® (positive control), and goat's milk kefir with each group consisting of 9 individuals. Results: Treatment showed significant effect on the blood glucose and β-ketone level. Diabetasol® and Goat kefir supplemented mice had a lower blood glucose level than control (p < 0.05) and goat kefir supplemented mice had lower blood β-ketone level than control and Diabetasol® (p< 0.05). Meanwhile, hematocrit and hemoglobin levels did not show significant differences between treatments.Conclusion: The results suggested that goat milk kefir has preclinical potential as an antihyperglycemic functional food without affecting other blood chemistry profiles.Keywords: Antihyperglycemic, blood sugar, goat kefir

The Test Effect of Glucose Tolerance of Green Apple (Mallus sylvestris Mill.) Juice on Male White Mice

Diabetes Mellitus or diabetes is a disease characterized by an increase in blood sugar levels beyond normal limits due to disruption of carbohydrate metabolism due to a deficiency of the insulin hormone caused by impaired pancreatic function. Glucose tolerance is disturbed when a person's blood sugar level on the glucose tolerance test is above normal but not high enough. Green Apple (Mallus sylvestris Mill.) Glucose Tolerance Test. Against White Male Mice orally by measuring mice's blood sugar levels every 30 minutes for 3 hours at a dose of 1.12 g; 2.24 g; and 4.48 g. The study's results using the oral glucose tolerance test method showed that the glucose tolerance effect of green apple juice at a dose of 1.12 g averaged blood sugar levels from 160.33 mg/dl to 89.33 mg/dl, at a dose of 2.24 g. – average blood sugar level from 204.67 mg/dl to 122.33 mg/dl and a dose of 4.48 g average blood sugar level from 329.67 mg/dl to 175.00 mg/dl. At a dose of 4.48 g, it can provide a faster effect on lowering the glucose levels of the test animals from statistical testing utilizing the T-test obtained tcount ≤ ttable means that there is no significant difference between the test substance group and the normal group.

POTENTIAL USE OF INSULIN PATCH TECHNOLOGY AS TRANSDERMAL DRUG DELIVERY IN EFFORTS TO TREAT DIABETES MELLITUS

Diabetes Mellitus (DM) in Indonesia continues to increase from 2013 to 2018. Diabetes Mellitus is associated with the production of the hormone insulin in the cells of the pancreas. An increase in blood sugar levels can stimulate insulin secretion. There are several ways to treat Diabetes Mellitus, namely by using drugs, herbal methods, and insulin injections. In addition, one of the DM treatments that can reduce pain is using insulin patch technology as a transdermal treatment. The manuscript for this publication was made to find out the potential of using insulin patch technology as transdermal drug delivery to treat DM. Using a literature review research method that discusses four focus studies, including 1) the structure of the pancreas gland, 2) the mechanism of insulin hormone production by the pancreas gland, 3) the causes, symptoms, and conditions of patients with DM, and 4) insulin patch technology as a transdermal drug in the treatment of diabetes. DM treatment efforts. In the Langerhans section of the pancreas, some cells function to produce the hormone insulin. The amino acids that make up insulin are encoded by exons formed in insulin cells. Some causes of DM namely genetics, age, the influence of food, lack of physical activity, and an unhealthy lifestyle. Some of the symptoms, namely polyuria, polydipsia, polyphagia, etc. Patients with DM need insulin intake to help balance blood sugar levels, one of which is by using an insulin patch in which there is a microneedle containing insulin n-vinylpyrrolidone (NVP) and the enzyme glucose oxidase. After a literature review, it can be concluded that the insulin patch has excellent potential and promise because during the study tested on rats and pigs obtained good results and was able to lower blood sugar levels, although development is still needed. The manuscript of this publication still has shortcomings, so the author suggested to the next author to be able to multiply the latest sources related to insulin patch. Through the creation of the publication, the manuscript realized that diabetes mellitus is a form of human negligence in maintaining the body that God has designed carefully and regularly.

THE RELATIONSHIP BETWEEN KNOWLEDGE OF MOTIVATION AND FAMILY SUPPORT ON DIET COMPLIANCE IN FAMILIES WITH DIABETES MELLITUS

Diabetes mellitus has become a common health problem that can be found everywhere, the number of people with diabetes mellitus is increasing continuously. Even diabetes mellitus will tend to have a frightening effect when considering some complication caused by the eyes, heart, kidneys, nerves, or the possibility of amputation can occur as well. Diabetes mellitus is a world health problem because the prevalence and cases of this disease continue to increase, both in industrialized countries including Indonesia. WHO (Wordl Health Organization, 2018) explains the diagnostic criteria for diabetes mellitus (DM), namely if fasting blood glucose levels are > 126 mg/dl or random blood glucose > 200 mg/dl. The pancreas regulates glucose levels in the release of glucagon, glucagon is an insulin antagonist which has a role in increasing blood sugar levels and then accelerating the rate of release from the liver. Insulin also stimulates glucose into glycine (a form of glucose conversion to become energy reserves) and stores it in the cells. Purpose: to analyze the relationship between knowledge of motivation and family support for dietary compliance in families with diabetes mellitus. Method: the literature study used is where the collection is done through the database google scholar, research gate, and garuda portal. which the collection was carried out trought the database google scholar, research gate, and garuda portal. Research Results: from the total sample that was used for review from ten journals, there were 685 respondents who were given family support in dietary compliance. Most of the respondents who received family support could improve their dietary compliance. Conclusion: the results obtained from a review of ten journals showed that there was a significant relationship between knowledge of motivation and family support for dietary compliance so that it could improve dietary compliance by people with diabetes mellitus.

How is the SelfCare Management of Patients with Type II Diabetes Mellitus ?- Characteristics and Knowledge

Background: Diabetes mellitus is a long-term disease characterized by increased blood sugar levels. The number of people with diabetes mellitus in Indonesia continues to increase from year to year. Diabetes control can be done with self care management which can be influenced by the characteristics of diabetics, knowledge, attitudes and behavior. Objective: To find out about the relationship between characteristics and knowledge with self care management in patients with type II diabetes mellitus. Research Methods: Quantitative research with analytical descriptive type and using a cross sectional approach. The population of this study was all patients with type II diabetes mellitus in the Kemyoran District Health Center aged 45 years and over with a sample of 93 respondents and using purposive sampling technique. The instrument used was a questionnaire and analyzed using the Chi-Square test. Results: In this study, the results of the Chi-Square test showed that the variables of age (p=0.013), gender (p=0.764), education (p=0.003), duration of diabetes mellitus (p=0.012) and knowledge (p= 0.005 Conclusion: there is a relationship between age, education, duration of diabetes mellitus and knowledge with self care management of patients with type II diabetes mellitus.

Systematic Review: Analysis of the Correlation between Neuropathic Pain and VEGF Level


 Neuropathic pain is caused by a lesion or disease of the somatosensory system, including peripheral fibres (Aβ, Aδ and C fibres) and central neurons, and affects 7–10% of the general population. Multiple causes of neuropathic pain have been described and its incidence is likely to increase owing to the ageing global population, increased incidence of diabetes mellitus and improved survival from cancer after chemotherapy. Literature search through database PUBMED using the keyword “neuropathic pain” combined with several terminologies such as: 'vascular endothelial growth factor', and 'VEGF'. We take only randomized control trial with English language. We excluded studies that specifically examined another induceable factor which can also cause neuropathic pain. Twenty four hundred and two hundred sixty seven kinds of literature were found, 53 of which were related to neuropathic pain and VEGF, only 6 included the study criteria. The occurrence of neuropathic pain is closely related to increased levels of VEGF-A bound to its receptor, namely VEGFRs. Increased VEGF-A can occur in both the central and peripheral nervous systems which is influenced by various conditions such as hypoxia, inflammation, leukocyte accumulation, increased blood sugar levels in diabetes mellitus, and malignancy. Stem cell therapy with VEGFA has been developed and can be a therapeutic option in neuropathic pain.
 Keywords: Neuropathic pain, vascular endothelial growth factor
 

The Relationship Of Self Care With The Quality Of Life Of Type Ii Diabetes Mellitus Patients At Mitra Medika General Hospital Medan

<em>Background; Type II diabetes mellitus is often known as diabetes. Type II diabetes mellitus is a metabolic disorder characterized by an increase in blood sugar levels above the normal threshold. Objective; To determine the relationship between self-care and the quality of life of type II diabetes mellitus sufferers at Mitra Medika Medan General Hospital in 2015. Materials and Methods; The research design used in this research uses the Analytical Survey method with a Cross Sectional approach. The population in this study was type II diabetes mellitus sufferers, totaling 129 respondents. The sampling used was purposive sampling, namely taking samples for a purpose by determining certain characteristics that are considered representative of the population. The sampling was done using the Slovin technique, totaling 56 respondents. Results; Based on the results of the analysis using the Chi-Square test, it shows that the significant probability value (Asymp.Sig) of Self Care is 0.003<sig value α 0.05, this proves that there is a relationship between self care and the quality of life of type II diabetes mellitus sufferers at home. Mitra Medika Medan General Hospital 2015. Conclusion; This research shows that statistically there is a relationship between self-care and the quality of life of type II diabetes mellitus sufferers at Mitra Medika Medan General Hospital in 2015. Type II diabetes mellitus sufferers are expected to improve self-care behavior to improve quality of life, at the research site it is recommended to provide education to type II diabetes mellitus patients about the relationship between Self Care and the quality of life of type II diabetes mellitus sufferers.</em>

Improving The Accuracy Of The C4.5 Algorithm Using Particle Swarm Optimization To Predicate Diabetes Patients

Diabetes is a disease that occurs due to an increase in blood sugar levels. Increased sugar levels can trigger death because they can cause damage to blood vessels, nerves, and other internal structures. To avoid bad consequences, it is important to predict whether a person has diabetes or not based on the information that each patient has. The method that can be used to predict whether someone has diabetes or not is a classification method. The C4.5 algorithm is one of the classification algorithms that can be used to predict diabetics. Although the C4.5 algorithm can be used to predict, getting a high accuracy value is also an important measurement. One thing that can be done to increase the accuracy value is to select the attribute that most influences a person to have diabetes or not. Feature selection greatly affects the accuracy of the C4.5 algorithm, particle swarm optimization is used as a feature selection method in this study. The purpose of this study is to increase the value of accuracy to predict whether someone has diabetes or not through feature selection using particle swarm optimization. The dataset used is the Pima Indian Diabetes Databases (PIDD) from the University of California Irvine (UCI) Machine Learning Repository. The results of the study show that feature selection using particle swarm optimization before using the C4.5 algorithm can increase accuracy by 6% from the previous accuracy value of 75%. The selected features are 4 attributes out of 9 attributes. The four attributes are Glucose, SkinThickness, BMI, and DiabetesPedigreeFunction. The results of feature selection using particle swarm optimization can increase the accuracy of predictions of whether someone suffering from diabetes or not.

Frequency of Vaginal Candida in Diabetes Patients – Overview

Aim/objective: The aim of the article is to identify the frequency and prevalence of vaginal candida in diabetes patients. Background: Rising blood sugar levels in patients increase the risk of various diseases and increase health problems. Possible long-term effects include damage to the macrovascular and microvascular vessels, which can lead to vascular diseases, including heart attack, stroke, and problems with the kidneys, eyes, gums, legs, and nerves. In addition to vascular damage, diabetes causes bacterial and fungal infections, among which we often find infection caused by Candida. Fungal disease of the genitals is one of the most common pathologies today, the development of which can be facilitated by both external - exogenous and internal - endogenous factors. Design and Methods: The article is based on secondary research and is limited to descriptive analysis. Results and Conclusions: Increased blood sugar levels as a result of diabetes affect the whole body and not just the blood. Elevated blood sugar appears in the mucous membranes of the vagina and vulva, so they are an excellent means of cultivating yeast. Properly managed diabetes is the only correct way to prevent recurrent vulvovaginal candidiasis.

Physical, chemical, sensorial properties and in vitro digestibility of wheat bread enriched with yunnan commercial and wild edible mushrooms

A high glycaemic index diet would cause a rapid increase in blood sugar levels and lead to chronic metabolic disorders. In this study, wheat bread enriched with mushroom (Pleurotus eryngii and Cantharellus cibarius) powder at different content (0, 5, 10, and 15 g/100 g replacement based on total weight) was prepared. The effect on the physical, chemical, sensorial, and in vitro digestibility of bread was determined. With the addition of mushroom powder, the total phenolic content of wheat bread significantly (p < 0.05) increased. The reducing sugar, hydrogenated index, and expected glycemic index gradually decreased with mushroom powder. The results suggested that mushroom powder could be used as a high-value ingredient to improve the nutritional profile and reduce bread's glycaemic index. Mushroom powder could be used as a natural food ingredient and showed new potential in improving the functional properties of bread products.

Peningkatan Pengetahuan Penanganan Kadar Gula Darah Tinggi pada Penyandang Diabetes Melitus di Prolanis

People who suffers Diabetes Melitus has high blood sugar levels which is commonly referred to as hyperglycemia. Symptoms that usually appear include frequent urination, thirst, hunger, fatigue, blurred vision, difficulty concentrating, weight loss, and wounds that are difficult to heal. However, a common sign and symptom that patients commonly experience is an increase in blood sugar levels. The purpose of this health education is to increase the knowledge of diabetes melitus patients in handling high blood sugar levels at Prolanis Public Health Center Ngrampal, Sragen Regency, Central Java Province. This health education is carried out directly at the Ngrampal Public Health Center, Sragen Regency. This health education was held on February 19, 2022 at 08.00 WIB to 10.00 WIB, which was attended by 25 participants from diabetes melitus patients. The result of this health education is an increase in the knowledge of diabetic patients regarding the management of high blood sugar levels. During the health education the participants were very enthusiastic so that there were several questions asked by the health education participants. Suggestions from this seminar are that Diabetes Melitus patients are expected to be able to manage and handle independently or with the help of health workers to increase high blood sugar levels (hyperglycemia