Author(s):
Muaed Jamal Alomar, Moawia M. Al-Tabakha, Zeinab Abdirizak Hussein
Email(s):
muayyad74@yahoo.com , m.alomar@ajman.ac.ae
DOI:
10.52711/0974-360X.2021.00578
Address:
Muaed Jamal Alomar, Moawia M. Al-Tabakha, Zeinab Abdirizak Hussein
1Clinical Pharmacy Lecturer
Department of Clinical Sciences, College of Pharmacy and Health Sciences, Ajman University, Ajman, UAE.
2Department of Pharmaceutical Sciences, College of Pharmacy and Health Sciences, Ajman University, Ajman, UAE.
3Department of Clinical Sciences, College of Pharmacy and Health Sciences, Ajman University, Ajman, UAE.
*Corresponding Author
Published In:
Volume - 14,
Issue - 6,
Year - 2021
ABSTRACT:
Objectives: The objective of this study is to develop a mathematical prediction model for type 2 diabetes based on six chosen risk factors: Obesity, Hypertension, Age, Socioeconomic Status, Physical inactivity, and Family History utilizing published medical literature from 1970 to 2017. Methods: the study provided numeric values for six chosen risk factors that have a direct impact on type 2 diabetes based on the severity. Results: A mathematical equation was developed to predict the remaining years to have type 2 diabetes. Moreover, validation showed that adjusting patient’s modifiable risk factors will positively affect the remaining predicted years to develop type 2 diabetes. Conclusion: T2DP model is a promising tool to predict the remaining years to develop type 2 diabetes. However, it was developed and validated on a theoretical level, and further validation is needed.
Cite this article:
Muaed Jamal Alomar, Moawia M. Al-Tabakha, Zeinab Abdirizak Hussein. Prediction model “T2DP” for the onset of Type 2 Diabetes Mellitus. Research Journal of Pharmacy and Technology. 2021; 14(6):3325-2. doi: 10.52711/0974-360X.2021.00578
Cite(Electronic):
Muaed Jamal Alomar, Moawia M. Al-Tabakha, Zeinab Abdirizak Hussein. Prediction model “T2DP” for the onset of Type 2 Diabetes Mellitus. Research Journal of Pharmacy and Technology. 2021; 14(6):3325-2. doi: 10.52711/0974-360X.2021.00578 Available on: https://www.rjptonline.org/AbstractView.aspx?PID=2021-14-6-68
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