Investigating Predictors and Risk Factors of Diabetes

Abstract

This research is aimed at investigating the predictors and risk factors of diabetes using the log-normal approach for data of diabetic patients from two selected hospitals within Birnin Kebbi metropolis: Federal Medical Centre Birnin Kebbi and Sir Yahaya Memorial Hospital Birnin Kebbi. The data used in this study were obtained from two selected hospitals within the Birnin Kebbi metropolis consist of 750 people diagnosed with Diabetes out of which some happens to be diabetic patients while others are none. The data variables were coded as: Diabetes status (1= Patient is having Diabetes, and 0 = Patient do not have Diabetes), Ages (less than 45years=0, above 45years=1), Sex/Gender (1 = male, 0 = female), History of Diabetes (1 = Yes, 0= No), History of HBP/Hypertension (1 = Yes, 0= No), Frequent urination/increased thirst (1 = Yes, 0 = No), Overweight/Obese (1 = Yes, 0 = No), and Fatigue or Muscle Pain (1 = Yes, 0 = No) and analysis was performed using Statistical Package NCSS. However, the results obtained revealed that Age has the highest impact on diabetes followed by gender, then frequent urination while Gender, history of HBP and obese/overweight have less impact with fitted model as Diabetes = 127.7988115605 + 2.91056748883139E-02*Age + 1.41071509860143*Gender -4.76836365190816* History of Diabetes -8.12517728481757* History of HBP -7.31335028559973* Frequent Urination -3.98943620318212* Obese/Overweight.