Relationship Between Age and Plasma Glucose Concentration in Diabetic Patients (Research Paper Sample)

This assignment involved conducting research to examine the relationship between age and plasma glucose concentration in patients with diabetes. The sample consisted of 280 participants recruited from public health centers in the United States. Participants were individuals aged between 18 and 65 years who had been diagnosed with diabetes and had a plasma glucose concentration of 200 mg/dl or higher.
This study aims to address gaps in research and provide insight into the relationship between age and diabetes. The existing literature suggests that older patients tend to have higher levels of glucose in their blood due to an age-related decrease in insulin sensitivity. However, the specific correlation between age and plasma glucose concentration requires further investigation.
To collect the necessary data, a survey questionnaire was administered to the participants, which included questions regarding demographics, medical history, and lifestyle factors. Plasma glucose concentration was measured via blood test, and age was self-reported by the participants. Trained research assistants collected data following standard protocols.
Descriptive statistics are calculated to give an idea of ​​the sample. The mean age of the participants was 42.92 years, with a standard deviation of 13.55 years, ranging from 18 to 65 years. The average diabetes level was 153.81 mg/dl, with a standard deviation of 65.89 mg/dl, ranging from 50 mg/dl to 288 mg/dl. The distribution of age and diabetes appears to be approximately normal based on the histogram.
The main analysis focused on determining the correlation between age and plasma glucose concentration. Correlation analysis, using Pearson's correlation coefficient, showed a weak negative association between age and diabetes, but not statistically significant (r = -.008, p = .892). Consequently, this study does not provide sufficient evidence to support a significant association between age and diabetes.
The findings suggest that age alone may not be a strong predictor of diabetes. The study emphasizes the importance of considering other risk factors, such as genetics, lifestyle and co-morbidities, to better understand and prevent diabetes. The results have implications for public health research, policy and practice, highlighting the need for comprehensive risk assessment and individualized prevention strategies.
In conclusion, this assignment involves conducting research to explore the relationship between age and plasma glucose concentration in diabetic patients. The sample consisted of 280 participants, and the findings suggest that age alone may not be a significant factor in predicting diabetes. Further research is needed to investigate the complex interaction between age and other risk factors to improve diabetes prediction, prevention, and management strategies.