scholarly journals Community Empowerment towards Healthy Living through The Implementation of Healthy Living Community Movements (GERMAS)

2021 ◽  
Vol 3 (2) ◽  
pp. 137-142
Author(s):  
Fazidah A Siregar
Keyword(s):  
Blood Sugar ◽  
Systolic Hypertension ◽  
Communicable Disease ◽  
Disease Incidence ◽  
Community Empowerment ◽  
Physical Activities ◽  
Healthy Food ◽  
Healthy Living ◽  
High Blood Sugar ◽  
Sugar Levels

Indonesia is currently facing a triple burden of disease where the incidence of non-communicable diseases is increasing. The condition is related to lifestyle include lack of physical activity, an unhealthy and unbalanced diet, and unhealthy lifestyle as smoking and alcohol consumption. To educate the community to implement healthy living, GERMAS is being promoted, emphasizing promotive and preventive efforts. The purpose of these activities was to educate and mobilize the community to implement healthy living by implementing GERMAS that focuses on physical activities, consuming vegetables and fruit, and checking health regularly. From the health status monitoring, 15.6% of participants were in the systolic prehypertension stage, and 34.4% were in the systolic hypertension stage, 19.0% with high cholesterol levels, 43.8% with high uric acid levels and 21.9% with high blood sugar levels. This activity was continued by giving education about balanced and healthy food, routine physical activities during three months and the use of their yards for planting vegetables and fruit and motivating the communities for consuming the healthy food daily. After three months,  the health condition improved in which the number of participants with systolic hypertension and high blood sugar levels decreased to 30% and 12.5%, respectively. It was concluded that the implementation of healthy life society movement daily could reduce the biological risk factors leading to the reduction of non-communicable disease incidence.

scholarly journals Fasdhu therapy to reduce excess levels of substances in the human body

2021 ◽  
Vol 6 (7) ◽  
pp. 1276-1281
Author(s):  
Darmadi Darmadi ◽  
Siti Juariah ◽  
Sukri Sukri
Keyword(s):  
Uric Acid ◽  
Health Education ◽  
Blood Sugar ◽  
Body Fat ◽  
Human Body ◽  
High Blood Sugar ◽  
The People ◽  
Sugar Levels ◽  
Provide Health Education

Tarai Bangun Hamlet IV, Tarab Mulya Village is a village located in Kampar Regency where the majority of the people come from the Minang and Javanese tribes. They like to eat fatty foods that trigger an increase in body fat levels. This service is carried out with the aim of helping people who experience high blood sugar, cholesterol and uric acid levels with the phlebotomy technique (fasdhu). The method used is to provide health education, followed by checking blood sugar, cholesterol and uric acid. High levels are then performed Fasdhu. Based on the examination of blood sugar, cholesterol and uric acid checks on 37 respondents, it was found that 10 respondents had high levels. Fasdhu treatment was carried out on respondents who had blood sugar levels of 163 mg/dl, cholesterol 240.75 mg/dl and uric acid 8.95 mg/dl. After fasdhu treatment, the levels decreased to 107 mg/dl, 200 mg/dl and 7.15 mg/dl, respectively. Based on this treatment, it was concluded that the phlebotomy technique (fasdhu) could be recommended as an effort to reduce blood sugar, cholesterol and uric acid levels.

High Blood Sugar Levels in Rhesus Monkeys

1967 ◽  
Vol 46 (5) ◽  
pp. 1105-1105 ◽  
Author(s):  
Harold P. Rose ◽  
James S. Glenn ◽  
Andrew Kuna
Keyword(s):  
Blood Sugar ◽  
Rhesus Monkeys ◽  
High Blood Sugar ◽  
Sugar Levels

MEASUREMENT OF HIGH BLOOD-SUGAR LEVELS

The Lancet ◽  
1972 ◽  
Vol 299 (7759) ◽  
pp. 1065-1066 ◽  
Author(s):  
M.I. Drury ◽  
D.Ua Conaill ◽  
E.C. Sweeney ◽  
J.M. Davison ◽  
G.A. Cheyne ◽  
...  
Keyword(s):  
Blood Sugar ◽  
High Blood Sugar ◽  
Sugar Levels

Effect of High Blood Sugar Levels upon Splanchnic Sugar Output in Experimental Diabetes

Diabetes ◽  
1960 ◽  
Vol 9 (4) ◽  
pp. 311-317 ◽  
Author(s):  
B. Issekutz ◽  
G. Hetenyi ◽  
M. Forbath ◽  
H. Drischel ◽  
A. Konig
Keyword(s):  
Blood Sugar ◽  
Experimental Diabetes ◽  
High Blood Sugar ◽  
Sugar Levels

scholarly journals High blood sugar levels significantly impact the prognosis of colorectal cancer patients through down-regulation of microRNA-16 by targeting Myb and VEGFR2

Oncotarget ◽  
2016 ◽  
Vol 7 (14) ◽  
pp. 18837-18850 ◽  
Author(s):  
I-Ping Yang ◽  
Hsiang-Lin Tsai ◽  
Ching-Wen Huang ◽  
Chien-Yu Lu ◽  
Zhi-Feng Miao ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Patients ◽  
Blood Sugar ◽  
Down Regulation ◽  
High Blood Sugar ◽  
Sugar Levels ◽  
Colorectal Cancer Patients

scholarly journals Identification of Retinopathy Disease using Image Enhancement

2019 ◽  
Vol 9 (1) ◽  
pp. 4745-4748
Keyword(s):  
Diabetic Retinopathy ◽  
Discriminant Analysis ◽  
Early Detection ◽  
Linear Discriminant Analysis ◽  
Blood Vessels ◽  
Image Enhancement ◽  
Blood Sugar ◽  
Linear Discriminant ◽  
High Blood Sugar ◽  
Sugar Levels

Among the various after affects of prolonged diabetes Diabetic Retinopathy is one of the diseases that get triggered. The number patients with disease are increasing enormously and there methodologies need to be developed for early detection of the disease. The main cause for this disease is the high blood sugar levels which affects of the blood vessels of retina and there by leading towards blindness. Therefore in this article it reports a methodology based on linear discriminant analysis to combat the disease. The accuracy is estimated using precision and recall, linear discriminant analysis.

scholarly journals Vida Saludable: Hiperglicemia e Hipoglicemia

EDIS ◽  
2007 ◽  
Vol 2007 (2) ◽  
Author(s):  
Jennifer Hillan
Keyword(s):  
Blood Sugar ◽  
Spanish Version ◽  
Healthy Living ◽  
High Blood Sugar ◽  
Fact Sheet ◽  
Patients With Diabetes

FCS8820-Span, a 3-page fact sheet by Jennifer Hillan, is the Spanish version of "Healthy Living: Hyperglycemia and Hypoglycemia" (FCS8820/FY885). It will help patients with diabetes understand how to detect, treat, and prevent hyperglycemia (high blood sugar) and hypoglycemia (low blood sugar). Published by the UF Department of Family, Youth and Community Sciences, January 2007.

scholarly journals A Non Invasive Diabetes Diagnosis using a Motor Device

2019 ◽  
Vol 9 (1S4) ◽  
pp. 729-731
Keyword(s):  
Blood Sugar ◽  
Test Subject ◽  
Diabetes Diagnosis ◽  
High Blood Sugar ◽  
Non Invasive ◽  
The World ◽  
Acute Complications ◽  
Invasive Method ◽  
Sugar Levels ◽  
Test Result

Along with the advancement in Biomedical technology to cure many commons, but there is certain lethal disease spanned in the world which has no cure for it. One such is Diabetes, although it does not have any remedy, at least it has controlling and diagnosing methods. It is a type of disorder in body metabolism where there is a high blood sugar level for sustained period. Diabetes is a condition in which there happened to be high blood sugar levels over a longtime. Symptoms are repeated urination, thirst, and hunger. If left unchecked, it may cause many complications. Acute complications include ketoacidosis, or death. The Diabetes can be analysed by gaining a drop of blood from test subject and blending it with biosensor. This method is compact and modest, but it happens to be an intrusive and contaminant method as it deals with the usage of blood. This assumption sparked us to progress a non-invasive method of diagnosing the diabetes level for a patient using their foot sensitivity. This advancement helps one to obtain the same test result but with a non-invasive practise, which gives a painless and non-contaminant diagnosis.

scholarly journals CLINICAL STUDY TO EVALUATE EFFECT OF MUSTADI KWATH IN MADHUMEHA

2021 ◽  
pp. 1-6
Author(s):  
Geetika Arya ◽  
Punita Pandey ◽  
Priyaranjan Tewari
Keyword(s):  
Diabetes Mellitus ◽  
Clinical Study ◽  
Blood Sugar ◽  
Clinical History ◽  
Exclusion Criteria ◽  
High Blood Sugar ◽  
Detailed Clinical History ◽  
Lack Of Exercise ◽  
Sugar Levels

The dissertation is entitled “Clinical study to evaluate the effect of Mustadi kwath in Madhumeha. Diabetes mellitus has become a dreadful disease in the era. It is also described in Ayurvedic text in terms of Madhumeha. Diabetes Mellitus is a group of metabolic disease in which there are high blood sugar levels over a prolonged period, this high blood sugar produces the symptoms of frequent urination, increased thirst, and increased hunger. Untreated, diabetes can cause many complications. Sedentary lifestyle, lack of exercise, improper medication and urbanization precipitates the disease. In the present study, Mustadi kwath (mentioned in Bhaisjya Ratnawali) was selected for clinical trial. The study comprises of 40 patients of Madhumeha. These patients were randomly selected on the basis of inclusion and exclusion criteria with detailed clinical history, physical examination and other desired investigation. The duration of study is of 90 days with 15 days follow up. After evaluating therapy it was observed that the ‘Mustadi kwath’ provided better relief to the patients of Madhumeha.

scholarly journals Prediction of Female Diabetic Patient in India Using Different Learning Algorithms

2021 ◽  
Author(s):  
Samir Bandyopadhyay ◽  
Payal Bose ◽  
Vishal Goyel
Keyword(s):  
Blood Sugar ◽  
Chronic Condition ◽  
Communicable Disease ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Classification Model ◽  
Diabetic Mellitus ◽  
Unknown Sample ◽  
Sugar Levels ◽  
Non Communicable Disease

Diabetics or Diabetic Mellitus is a metabolic disorder of blood sugar levels in the human body. It is a major non-communicable disease and involved many serious health risk issues. This disease is rapidly increasing in India. It is a chronic condition and it occurs when a body doesn't produce enough insulin hormone to control the blood sugar level. In this study, different variables have been analyzed that cause the diabetics, and different machine learning algorithms are used to predict whether an unknown sample is diabetes or not. For this purpose, PIMA diabetic detection for Female patients was used. Here 10 different classification model is used for prediction. Finally, the detailed performance analysis of the different variables of the PIMA dataset and also the classification model are discussed.

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