Mathematical Regression Models for Analyzing and Forecasting Diabetes prevalence in Oman

2021 ◽  
pp. 91-102
Author(s):  
Jabar H. Yousif
Keyword(s):  
Mathematical Models ◽  
Financial Burden ◽  
Diabetes Type 2 ◽  
Economic Effects ◽  
Sultanate Of Oman ◽  
Proposed Model ◽  
Future Data ◽  
Use Of Health Services

Diabetes mellitus has a significant impact on people's lives and drugs financial burden. On the other hand, diabetes also has substantial economic effects on countries and national health systems. Most countries spend between 5% and 20% of their total health expenditures on diabetes. This is due to the increased use of health services, lack of productivity, and the long-term demand for complications associated with diabetes, such as kidney failure, blindness, and heart problems. This is why diabetes poses a significant challenge to healthcare systems and hinders sustainable economic development. This work is concerned with proposing mathematical models characterized by accuracy and ease in predicting the number of diabetics type 2 in the Sultanate of Oman. By analyzing the proposed mathematical models of the current work (1, 2, and 3), it was found that the proposed mathematical model in Equation 6 can accurately predict the number of diabetics in Oman up to 2050. In order to test the model's accuracy and validity, we revised it with actual data. The results prove the accuracy of the proposed model in predicting future data of 99%. Lastly, several recommendations were recorded that could help to reduce the prevalence of diabetes type 2 in Oman.

scholarly journals Mathematical Regression Models for Analyzing and Forecasting Diabetes prevalence in Oman

2021 ◽  
Author(s):  
Jabar Yousif
Keyword(s):  
Mathematical Model ◽  
Mathematical Models ◽  
Regression Models ◽  
Diabetes Type 2 ◽  
Diabetes Type ◽  
Actual Data ◽  
Sultanate Of Oman ◽  
Proposed Model ◽  
Future Data

<p>This work is concerned with proposing mathematical models characterized by accuracy and ease in predicting the number of diabetics type 2 in the Sultanate of Oman. By analyzing the proposed mathematical models of the current work (1, 2, and 3), it was found that the proposed mathematical model in Equation 6 can accurately predict the number of diabetics in Oman up to 2050. In order to test the model's accuracy and validity, we revised it with actual data. The results prove the accuracy of the proposed model in predicting future data of 99%. Lastly, several recommendations were recorded that could help to reduce the prevalence of diabetes type 2 in Oman.</p>

scholarly journals Mathematical Regression Models for Analyzing and Forecasting Diabetes prevalence in Oman

2021 ◽  
Author(s):  
Jabar Yousif
Keyword(s):  
Mathematical Model ◽  
Mathematical Models ◽  
Regression Models ◽  
Diabetes Type 2 ◽  
Diabetes Type ◽  
Actual Data ◽  
Sultanate Of Oman ◽  
Proposed Model ◽  
Future Data

<p>This work is concerned with proposing mathematical models characterized by accuracy and ease in predicting the number of diabetics type 2 in the Sultanate of Oman. By analyzing the proposed mathematical models of the current work (1, 2, and 3), it was found that the proposed mathematical model in Equation 6 can accurately predict the number of diabetics in Oman up to 2050. In order to test the model's accuracy and validity, we revised it with actual data. The results prove the accuracy of the proposed model in predicting future data of 99%. Lastly, several recommendations were recorded that could help to reduce the prevalence of diabetes type 2 in Oman.</p>

scholarly journals Diabetes type 2 diabetes in the elderly – solved and unsolved questions

2016 ◽  
Vol 19 (4) ◽  
pp. 322-330
Author(s):  
Tat'jana Vladimirovna Saprina ◽  
Nailja Maratovna Fajzulina
Keyword(s):  
Quality Of Life ◽  
Diabetes Mellitus Type 2 ◽  
Diabetes Type 2 ◽  
The Elderly ◽  
Diabetes Type ◽  
Elderly Persons ◽  
Basic Information

The number of elderly persons with diabetes mellitus type 2 is expected to progressively increase. Management of this category of patients should be individualised and include the adequate correction of hyperglycaemia, prevention of long-term complications, prevention of hypoglycaemia, reduction of cardiovascular mortality and preservation of quality of life. This article summarises basic information on the pathophysiology of carbohydrate metabolism, peculiarities of the course of diabetes and use of antidiabetic drugs in the elderly. Special attention is paid to reviewing the goals of glycaemic control and proposed clinical guidelines.

scholarly journals Predicting Cardiovascular Disease as a Long-Term Diabetes Complication using SOM

2020 ◽  
Vol 8 (6) ◽  
pp. 3288-3292
Keyword(s):  
Cardiovascular Disease ◽  
Teaching And Learning ◽  
Diabetes Type 2 ◽  
Network Teaching ◽  
Self Organized ◽  
Teaching Learning Based Optimization ◽  
Teaching Learning ◽  
Prediction Of Diabetes

Cardiovascular disease (CVD) is the most common serious of long term type2 diabetic’s mellitus. It is estimated that most of the T2DM patients causes death due to CVD. Around 90% of CVD can be prevented with proper prediction of diabetes. Type 2 diabetes mellitus begins with insulin resistance, a condition in which it fails to respond to insulin properly. This paper explores Hybrid Wavelet Neural Network to train the system to learn the pattern to predict the disease and Self Organized map method is used for information clustering and visualization of excessive dimensional records to predict the disease with less parameter high accuracy which can help to prevent the disease. Modified Teaching Learning Based Optimization algorithm achieves the optimized learning from the pertained network. Teaching and learning based optimized technique yield better accuracy with a dataset of 770 patients. The measure of accuracy is compared with other algorithms and it is analyzed for further ratification.

scholarly journals Estimation of metformin and other sugar reducing therapy influence on the outcomes in patients with acute coronary syndrome and diabetes mellitus type II

2021 ◽  
Vol 10 (4) ◽  
pp. 39-47
Author(s):  
K. Yu. Nikolaev ◽  
K. I. Bondareva ◽  
A. Ya. Kovaleva ◽  
G. I. Lifshits
Keyword(s):  
Myocardial Infarction ◽  
Acute Coronary Syndrome ◽  
Cardiovascular Events ◽  
Diabetes Type 2 ◽  
Diabetes Type ◽  
Coronary Syndrome ◽  
Estimated Risk ◽  
Long Term Prognosis

Aim. To study the influence of hypoglycemic therapy on hospital and long-term prognosis in patients with acute coronary syndrome (ACS) and diabetes type 2.Methods. The study included 63 patients with ACS and type 2 diabetes. All patients had a clinical examination, assessment of mortality risk and myocardial infarction on GRACE scale (Global Registry of Acute Coronary Events) and TIMI (Thrombolisis In Myocardial Infarction) in-hospital and six months after hospitalization.Results. Metformin is associated with a lower estimated risk of in-hospital mortality and within 6 months after discharge in patients with acute coronary syndrome on the background of type 2 diabetes and with less risk of adverse cardiovascular events within 14 days of their occurrence in patients with unstable angina pectoris on the background of diabetes. High daily doses of metformin have also been associated with a decrease in the estimated risk of in-hospital mortality and within 6 months after discharge in patients with ACS associated with diabetes. The inverse association between the daily dosage of metformin and the presence of angina pectoris in patients with ACS and diabetes type 2 indicates a protective effect of metformin high daily dosages in relation to the risk of complications within six months after the discharge from hospital.Conclusion. One of the important aspects of ACS treatment, along with effective therapy, is the impact on concomitant risk factors, including blood glucose control. The main groups of hypoglycemic drugs have currently been identified; their effect on cardiovascular events, long-term effects and long-term prognosis are being investigated.

The Use of Berberine in Diabetes and Metabolic Syndrome: Two Sides of the Same Coin. A Bibliometric Analysis

2021 ◽  
Vol 17 ◽  
Author(s):  
Vittoria Infantino ◽  
Antonella Riva ◽  
Giovanna Petrangolini ◽  
Pietro Allegrini ◽  
Simone Perna ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Bibliometric Analysis ◽  
Metabolic Disorders ◽  
Human Subjects ◽  
Diabetes Type 2 ◽  
The Metabolic Syndrome ◽  
Prevalence Of Obesity ◽  
Two Sides

: The increased prevalence of obesity, metabolic syndrome and type 2 diabetes has prompted scientists to look for new active and safe molecules that may help the prevention of metabolic disorders: hyperglycemia, insulin-resistance, dyslipidemia. Berberine is an alkaloid compound derived from plants, and it is largely used in traditional chinese medicine. The aim of this study is to investigate in SCOPUS and Web of Science (WOS) databases how the scientists focused on the use of berberine against metabolic disorders, in human subjects. We carried A bibliometric analysis of scientific literature and performed 2 searches: 1) “Berberine” AND “Diabetes” AND “Diabetes Type 2”, 2) “Berberine” AND “Metabolic Syndrome”, both in ARTICLE (Title/Abstract/Keyword) with a time limitation of 1 January 2000 through 31 December 2018, with the filter on “HUMAN” AND/OR “HUMANS”. The research sorted out 500 papers, finding about 300 (60 %) in the first search definition, and 200 (40 %) in the second. The refined research sorted out 46 papers regarding the use of berberine in diabetes, and 40 articles on the use of the alkaloid compound in the metabolic Syndrome. For both topics, we found increasing interest between 2008 and 2009, with citation trends in a constant crescendo in the overall period studied. These findings underlined that berberine is a safe and interesting botanical compound, especially against chronic-metabolic disorder that affects billions of people globally, and emphasized that scientists are interested in searching for long-term therapies that show no major adverse effects.

Reducing diabetes type 2 risk in non-selected outpatients with schizophrenia, a thirty-month program

2017 ◽  
Vol 41 (S1) ◽  
pp. s814-s815
Author(s):  
P. Hjorth
Keyword(s):  
Physical Activity ◽  
Waist Circumference ◽  
Diabetes Type 2 ◽  
Positive Outcome ◽  
Diabetes Type ◽  
Soft Drinks ◽  
Activity Level ◽  
Newly Diagnosed

IntroductionDiabetes type 2 is 2–3 fold more common in patients with schizophrenia compared to the general population. A lifestyle with focus on diet, exercise and medication is required to prevent complications from diabetes type 2.ObjectivesPatients may have trouble complying with a well-structured and healthy lifestyle because of factors related to their illness e.g. cognitive disturbances, negative/positive symptoms and treatment with psychotropic medication.AimsTo measure and reduce diabetes type 2 risk factors in patients and examine characteristics associated with a positive outcome.MethodsA naturalistic intervention study through 30 months of clinical work with individual guidance, group sessions and treatment as usual.ResultsAt index, the newly diagnosed patients had a high consumption of soft drinks and low physical activity. Over time, the newly diagnosed patients worsened their physical profile with increased weight, waist circumference, visceral adiposity index (P = 0.030) and HbA1c (P = 0.010). HbA1c increased for newly diagnosed male patients with 0.24 m.mol/L (P = 0.007). The long-term patient's physical activity level was low. After the intervention, they improved in consumption of soft drinks (P = 0.001) and fast food meals (P = 0.009). Furthermore, the long-term patients lowered their weight and waist circumference while becoming more physically active. There were no changes in HbA1c in the intervention period.ConclusionOur study showed being long-term ill and female gender was associated with positive outcome of lifestyle intervention into improving physical health and reducing diabetes type 2 risk, meanwhile being newly diagnosed and being male showed a negative outcome despite intervention.Disclosure of interestThe author has not supplied his/her declaration of competing interest.

scholarly journals Evaluation of the Clinical and Economic Effects of a Primary Care Anchored, Collaborative, Electronic Health Lifestyle Coaching Program in Denmark: Protocol for a Two-Year Randomized Controlled Trial (Preprint)

2020 ◽  
Author(s):  
Carl J Brandt ◽  
Jeanette Reffstrup Christensen ◽  
Jørgen T Lauridsen ◽  
Jesper Bo Nielsen ◽  
Jens Søndergaard ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Weight Loss ◽  
Controlled Trial ◽  
Intervention Group ◽  
Economic Effects ◽  
Control Group ◽  
Preventive Program ◽  
Web Based

BACKGROUND Obesity is linked to a number of chronic health conditions, such as type 2 diabetes, heart disease, and cancer, and weight loss interventions are often expensive. Recent systematic reviews concluded that app and web-based interventions can improve lifestyle behaviors and weight loss at a reasonable cost, but long-term sustainability needs to be demonstrated. OBJECTIVE This study protocol is for a 2-year randomized controlled trial that aims to evaluate the clinical and economic effects of a primary care, anchored, collaborative, electronic health (eHealth) lifestyle coaching program (long-term Lifestyle change InterVention and eHealth Application [LIVA] 2.0) in obese participants with and without type 2 diabetes. The program’s primary outcome is weight loss. Its secondary outcome is the hemoglobin A<sub>1c</sub> (HbA<sub>1c</sub>) level, and its tertiary outcomes are retention rate, quality of life (QOL), and cost effectiveness. Analytically, the focus is on associations of participant characteristics with outcomes and sustainability. METHODS We conduct a multicenter trial with a 1-year intervention and 1-year retention. LIVA 2.0 is implemented in municipalities within administrative regions in Denmark, specifically eight municipalities located within the Region of Southern Denmark and two municipalities located within the Capital Region of Denmark. The participants are assessed at baseline and at 6-, 12-, and 24-month follow-ups. Individual data from the LIVA 2.0 platform are combined with clinical measurements, questionnaires, and participants’ usage of municipality and health care services. The participants have a BMI ≥30 but ≤45 kg/m2, and 50% of the participants have type 2 diabetes. The participants are randomized in an approximately 60:40 manner, and based on sample size calculations on weight loss and intention-to-treat statistics, 200 participants are randomized to an intervention group and 140 are randomized to a control group. The control group is offered the conventional preventive program of the municipality, and it is compared to the intervention group, which follows the LIVA 2.0 in addition to the conventional preventive program. RESULTS The first baseline assessments have been carried out in March 2018, and the 2-year follow-up will be carried out between March 2020 and April 2021. The hypothesis is that the trial results will demonstrate decreased body weight and that the number of patients who show normalization of their HbA<sub>1c</sub> levels in the intervention group will be much higher than that in the control group. The participants in the intervention group are also expected to show a greater decrease in their use of glucose-lowering medication and a greater improvement in their QOL when compared with the control group. Operational costs are expected to be lower than standard care, and the intervention is expected to be cost-effective. CONCLUSIONS This is the first time that an app and web-based eHealth lifestyle coaching program implemented in Danish municipalities will be clinically and economically evaluated. If the LIVA 2.0 eHealth lifestyle coaching program is proven to be effective, there is great potential for decreasing the rates of obesity, diabetes, and related chronic diseases. CLINICALTRIAL ClinicalTrials.gov NCT03788915; https://clinicaltrials.gov/ct2/show/NCT03788915 INTERNATIONAL REGISTERED REPORT DERR1-10.2196/19172

scholarly journals Evaluation of the Clinical and Economic Effects of a Primary Care Anchored, Collaborative, Electronic Health Lifestyle Coaching Program in Denmark: Protocol for a Two-Year Randomized Controlled Trial

10.2196/19172 ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. e19172
Author(s):  
Carl J Brandt ◽  
Jeanette Reffstrup Christensen ◽  
Jørgen T Lauridsen ◽  
Jesper Bo Nielsen ◽  
Jens Søndergaard ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Weight Loss ◽  
Controlled Trial ◽  
Intervention Group ◽  
Economic Effects ◽  
Control Group ◽  
Preventive Program ◽  
Web Based

Background Obesity is linked to a number of chronic health conditions, such as type 2 diabetes, heart disease, and cancer, and weight loss interventions are often expensive. Recent systematic reviews concluded that app and web-based interventions can improve lifestyle behaviors and weight loss at a reasonable cost, but long-term sustainability needs to be demonstrated. Objective This study protocol is for a 2-year randomized controlled trial that aims to evaluate the clinical and economic effects of a primary care, anchored, collaborative, electronic health (eHealth) lifestyle coaching program (long-term Lifestyle change InterVention and eHealth Application [LIVA] 2.0) in obese participants with and without type 2 diabetes. The program’s primary outcome is weight loss. Its secondary outcome is the hemoglobin A1c (HbA1c) level, and its tertiary outcomes are retention rate, quality of life (QOL), and cost effectiveness. Analytically, the focus is on associations of participant characteristics with outcomes and sustainability. Methods We conduct a multicenter trial with a 1-year intervention and 1-year retention. LIVA 2.0 is implemented in municipalities within administrative regions in Denmark, specifically eight municipalities located within the Region of Southern Denmark and two municipalities located within the Capital Region of Denmark. The participants are assessed at baseline and at 6-, 12-, and 24-month follow-ups. Individual data from the LIVA 2.0 platform are combined with clinical measurements, questionnaires, and participants’ usage of municipality and health care services. The participants have a BMI ≥30 but ≤45 kg/m2, and 50% of the participants have type 2 diabetes. The participants are randomized in an approximately 60:40 manner, and based on sample size calculations on weight loss and intention-to-treat statistics, 200 participants are randomized to an intervention group and 140 are randomized to a control group. The control group is offered the conventional preventive program of the municipality, and it is compared to the intervention group, which follows the LIVA 2.0 in addition to the conventional preventive program. Results The first baseline assessments have been carried out in March 2018, and the 2-year follow-up will be carried out between March 2020 and April 2021. The hypothesis is that the trial results will demonstrate decreased body weight and that the number of patients who show normalization of their HbA1c levels in the intervention group will be much higher than that in the control group. The participants in the intervention group are also expected to show a greater decrease in their use of glucose-lowering medication and a greater improvement in their QOL when compared with the control group. Operational costs are expected to be lower than standard care, and the intervention is expected to be cost-effective. Conclusions This is the first time that an app and web-based eHealth lifestyle coaching program implemented in Danish municipalities will be clinically and economically evaluated. If the LIVA 2.0 eHealth lifestyle coaching program is proven to be effective, there is great potential for decreasing the rates of obesity, diabetes, and related chronic diseases. Trial Registration ClinicalTrials.gov NCT03788915; https://clinicaltrials.gov/ct2/show/NCT03788915 International Registered Report Identifier (IRRID) DERR1-10.2196/19172

Sign in / Sign up

Export Citation Format

Share Document