The existence of several risk factors in the samples reporting a positive family history of diabetes Vs those with no history on diabetes was not statistically significant (Richard, 2010). According to the results, other factors apart from family history can also influence the development of this kind of diabetes in rural school going children. Purpose, problem and statement and sampling of the study The study sought to find the effect of the selected risks and how they lead to the development of the type 2 DM in rural children. The problem and purpose of the study clearly states the association between the variables used in the study. The focused population of the study is the children from rural areas and the study clearly indicates that on the problem statement. The objectives of the author were obtainable due to the inclusion of adequate information that will help achieve the purpose and hence will aid the solutions to the problem (Ogundipe, 2005). Hypothesis The study used both the combination of the null and research hypothesis. The prevalence of diabetes is related to genetic factors among the rural children There is a relationship between rural children type diabetes and family history Type 2 diabetes is prevalent among children from rural areas The study does not stop there or rather utilizes, for efficiency, the directional hypothesis. The hypotheses are having a strong base from the purpose of the study and their statements are clear and focused in the study. The hypotheses are appropriately tested using the t-statistics. Variables Independent Variable Type 2 DM Dependent Variable The family history. From the results 13.7 percent of 1255 participants recorded BMI which was greater than 27. And among the 13 percent, 46.5% reported a history of DM on their family. The independent variable is family history while the dependent variable Type 2 DM. these variables are consistent with the hypothesis, purpose and the questions of the study. However, these variables lack adequate conceptual and operational definition. Data collection methods The method of data collection employed was qualitative and qualitative techniques. For instance, open ended questionnaires were used to collect both qualitative and quantitative data. Data collection instruments The study utilizes appropriate data collection methods and instruments by applying the use of the questionnaires to collect data. Data Analysis The samples were subjected to BMI and the results analyzed statistically. These instruments represent the validity of the results hence the general validity of the study. However, I suppose more data collection and instruments such as in self-reports, medical records and observation and also the sample size would have been increased so as to increase the representation of the target of the population. Methodologies The study uses a more advanced correlation research design. The study aims at screening about 4000 rural nursery school kids through 12th grade children from families who has history of DM children from families with no history in DM, and then determines the frequency of preferred risk factors. Screen is a good method for this kind of analysis; however, a better analysis such as Body Mass Index has
The Presence of Family History and the Development of Type 2 Diabetes Mellitus Risk Factors in Rural Children Name: Institution: In accordance to the American Diabetes Association (2001), type 2 diabetes is almost becoming an epidemic among children and adolescents (Adams, 2007)…
The regulation of the sugar in the blood would be accomplished through the chemical insulin, which is what diabetes interferes with (Brill 15). Pancreas, an organ at the lower part of the stomach is responsible for the production of insulin. In a healthy person, insulin would allow for movement of glucose from the blood into the cells of the body where it would be converted into energy.
The social impacts of this disorder include diet and weight control; and physical exercise – which come along with increased hunger; nausea and occasional vomiting; fatigue, and frequent urination. The economic impacts of the disorder include the cost of blood glucose depressants, insulin injections, and the expenses of blood glucose monitoring.
icense, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This article has been cited by other articles in PMC. Go to: Abstract Worldwide, obesity trends are causing serious public health concern and in many countries threatening the viability of basic health care delivery.
Type 1 is treated non-surgically with insulin replacement – normally through an insulin pump or insulin injection, along with dietary management, usually including vigilant monitoring of blood glucose levels with the use of glucose meters and carbohydrate tracking.
Type 2 diabetes has a long asymptomatic phase and significant clinical risk markers (Caterson 2005).
The decreased ability of insulin to act effectively on peripheral target tissues especially muscle and liver is a prominent feature of type 2 DM, and this is presumed to result from a combination of genetic susceptibility and obesity.
Diabetes is a metabolic disorder characterized by absence of insulin, or presence of insulin but not functional to meet the metabolic pathways of the physiologic requirements of the body. Type 2 diabetes mellitus, discussed in the paper accounts the larger proportion of diabetic cases (90-95%) and is exemplified by insulin resistance.
The occurrence of the disease, from 1994 to 2004, among aged people, went up by 63% (Rubino et al 1). This rising occurrence is a testament to enhancement in managing diabetes-associated complications, globalization, as well as the accompanying metabolic
10 pages (2500 words)Research Paper
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