Unit 1 Case Study Of Diabetes

Great Essays
Introduction:
The global pandemic of diabetes mellitus (DM), which principally involves T2D is well recognized by World Health Organization (WHO) and affects the majority of adults in developed countries such as in North America, Japan and Europe[1]. The greatest increase in prevalence of DM is however expected to occur rapidly in developing and low or middle income countries in Asia and Africa toward the years 2030 and 2035, probably following the people's tendency for urbanization, changing dietary habit and increasing sedentary lifestyle patterns [1-3].
According to International Diabetes Federation (IDF), it is estimated that 382 million people have diabetes in 2013; this figure is expected to reach 592 million by 2035[4]. The estimated
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The risk of T2D is clearly linked to an increasing degree and prevalence of obesity in children and adolescents in many populations [10, 11]. Overweight and obesity are obviously driving the global diabetes epidemics and if no global strategies are planned to fight and prevent obesity, the number of overweight people is projected to increase from 1.3 billion in 2005 to nearly 2.0 billion by 2030 [11, 12].
There are significant economic consequences of diabetes mellitus on patients and their families as well as on country's health systems. This is particularly true in regard to offering the health-care facilities for young adults and children who are living in developing countries. Worldwide diabetes mellitus caused 4.6 million deaths in 2011, and health-care expenditure attributed to DM was estimated to be at least US$465 billion, or 11% of total health-care expenditure [1, 13, 14]. Compared to older age groups, there are paucity of large scale population-based studies focusing on youth with T2D and the majority of such data come from developed countries, particularly North America and Japan, with a distinct lack of information from many regions in the world, particularly from Africa and South America[5, 15- 17].
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The average weight in T2D 78.0±14.2 and 56.1±22.6 for T1D (p value 0.0001). The differences were statistically significant. The age distribution of patients in T2D is demonstrated in table 3 as follow: about a quarter, 2134(24.52%) out of 8704 patients were ≤ 39 years, and just slightly more than three-quarters 6570(75.48%) out of 8704 patients were ≥40 years of age and 35(0.41%) patients were≤ 19 years while 1062(12.20%) were ≥60 years.
The relationship between BMI, body weight and age groups below and above 40 years in study group was clarified in table 4. There was only significant difference in weight and BMI between age group 0-19 years and other groups which was statistically significant (p value 0.0001) while no such differences were found between other groups whether below or above 40 years when compared with each other.
In table 5: 7764 (about 90%) out of 8704 patients with T2D were having BMI ≥ 25kg/m2 and just about a quarter (24.52%) of these patients were aged < 40 years. The remaining 940 (10%) out of 8704 patients having BMI ≤ 25kg/m2 and about 30% of them were aged < 40 years. The average BMI was higher in female than in male patients with type 2 DM: 32.12 ± 5.66 vs. 28.86 ± 4.25. This was statistically significant (p value 0.0001). (Table

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