Introduction: Arab populations have many similarities and dissimilarities. They share culture, language and religion but they are also subject to economic, political and social differences. The purpose of this study is to understand the causes of the rising trend of diabetes prevalence in order to suggest efficient actions susceptible to reduce the burden of diabetes in the Arab world. Method: We use principal component analysis to illustrate similarities and differences between Arab countries according to four variables: 1) the prevalence of diabetes, 2) impaired glucose tolerance (IGT), 3) diabetes related deaths and 4) diabetes related expenditure per person. A linear regression is also used to study the correlation between human development index and diabetes prevalence. Results: Arab countries are mainly classified into three groups according to the diabetes comparative prevalence (high, medium and low) but other differences are seen in terms of diabetes-related mortality and diabetes related expenditure per person. We also investigate the correlation between the human development index (HDI) and diabetes comparative prevalence (R = 0.81). Conclusion: The alarming rising trend of diabetes prevalence in the Arab region constitutes a real challenge for heath decision makers. In order to alleviate the burden of diabetes, preventive strategies are needed, based essentially on sensitization for a more healthy diet with regular exercise but health authorities are also asked to provide populations with heathcare and early diagnosis to avoid the high burden caused by complications of diabetes.

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Background: In the WHO Eastern Mediterranean region, nearly one million deaths are caused by cardio-vascular diseases every year. During the last decade, the number of deaths caused by stroke increased by 23%. Most cardiovascular diseases can be prevented by addressing behavioural risk factors such as tobacco use, alcohol, unhealthy diet, physical inactivity, and metabolic risk factors like obesity, high blood pressure, diabetes and raised lipids. Methods: This is a systematic review on cerebrovascular diseases and associated risk factors in WHO Eastern Mediterranean countries. Medline, Science Direct, and other sources were used to get peer reviewed papers dealing with the review theme. The search was limited to publications between 1990 and 2013 (30th June). Results and Discussion: According to the inclusion criteria, 45 papers were included in the present review. The prevalence was found greater than 50% in 38 studies for hypertension, greater than 25% in 36 studies for diabetes, greater than 15% in 26 studies for smoking and greater than 25% in 19 studies for dyslipidemia. It was also indicated that

Worldwide, diabetes is affecting 370 million people, causing nearly five million deaths and absorbing more than 471 billion USD per year. Mathematical models have been developed to simulate, analyse and understand the dynamics of β-cells, insulin and glucose. In this paper, we consider the effect of genetic predisposition to diabetes on dynamics of β-cells, glucose and insulin. We assume that the β-cell dynamics is governed by the differential equation:

Due to its chronic nature with severe complications, diabetes needs costly prolonged treatment and care. The high economic burden of diabetes is particularly threatening low and middle income countries. Worldwide, studies have shown that the cost of diabetes per person is much higher than the per capita health expenditure. This study is the first to estimate the direct and indirect cost of diabetes in Morocco. The direct cost of diabetes was computed by assuming three scenarios of prices (low, medium and high) due to different prices of insulin, oral drugs and other items used in diabetes treatment and care. Indirect costs of diabetes were estimated by the lifetime forgone earnings caused by premature death and disability due to diabetes. The direct cost of diabetes in Morocco was estimated to be between US $0.47 and US $1.5 billion whereas the indirect cost was estimated to be around US $2 billion accounting for 57% of the total cost of diabetes under the high cost scenario, 69% under the medium scenario and 81% under the low cost scenario. The average per capita indirect cost was estimated to be US $1113, relatively higher than the direct cost of diabetes which was seen to vary from US$ 259 to US $830. The results yielded by this study were compared to those obtained by similar studies in different regions and countries of the world. As a conclusion, the findings of this study indicate a high economic burden of diabetes and stress the importance that Moroccan health decision makers should give to sensitisation, early diagnosis and treatment of diabetes especially with the crucial growing trend of diabetes prevalence.

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Diabetes is a chronic disease with a huge and growing socioeconomic burden affecting individuals, families and the whole society. In this paper, we propose an optimal control approach modeling the evolution from pre-diabetes to diabetes with and without complications. We show the existence of an optimal control and then use a numerical implicit finite-difference method to monitor the size of population in each compartment. Our model shows that, using optimal control, the number of diabetics with and without complications can be significantly reduced in a period of 10 years.

BackgroundThe A1c-derived average glucose examined the link between the glycated haemoglobin and the estimated average glucose, and provided a linear relation between them. Other studies proved that, over a period of 4 months, plasma glucose in the preceding 30 days contribute to about 50 % to the glycated haemoglobin value while the other 50 % is due to the remaining 3 months altogether.Technical details of the methodIn this technical note, we propose a weighted method assuming that the contribution of glucose to glycated haemoglobin over 3 months is chronologically 20 %, 30 % and 50 % respectively. A comparison is made with the linear regression method which uses the same estimated average glucose over the whole period. Results yielded by the weighted method are also compared to those given by the model proposed by Ladyzyński et al.FindingsA simulation is carried out on data assumed to come from a first individual with nearly the same level of glucose over 3 months, a second individual who starts with high levels of glucose and then reaches a stabilised low level by the last month, and finally, a third case who had just been diagnosed with diabetes during the last month whereas he/she had a normal glycaemia during the preceding 2 months. The weighted method gives more realistic values of HbA1c (7.36 %, 6.80 %, 8.49 %) than the linear regression method without weights which gives the same value (7.45 %) for the three cases. Another comparison shows that the three values given by the weighted method are slightly smaller than the corresponding values given by the model of Ladyzynski et al. (7.62 %, 7.02 %, 8.8 %) but the relative variation is nearly the same for the three values (≈3 %).ConclussionWithout regular self-testing and day-to-day insights, a sole HbA1c value can be confusing and misleading. For physicians and patients, a clear understanding of the relationship between the weighted average glucose and HbA1c is necessary in order to set an appropriate daily control depending on whether the glucose is stabilized over the whole period, at the beginning, at the end; or still under recurrent episodes of high and low levels. The measured HbA1c at a biological laboratory gives no indication on glucose variation. Moreover, low values of glucose may cancel high values and lead to a “good” average glucose and ideal glycated haemoglobin.