PENGGUNAAN MODEL REGRESI LOGISTIK BAGI MENGUKUR KEBARANGKALIAN MENDAPAT PENY AKIT BUAH PINGGANG DI KALANGAN PESAKIT DIABETES MELLITUS
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Date
2010-04
Authors
MOHAMAD ALI, MARIANA
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Abstract
Control of diabetes at early diagnosis would prevent or slow the progress of
complications that might happen. When someone is diagnosed as having diabetes, he
or she should be advised about the treatment or method that can be helps in reducing
the risk of getting acute or chronic complications that might attack in long term
duration. Among the chronic disease that might attack diabetic patient are
hypertension, cardiavascular disease, retinal damage, chronic renal failure and
gangrene. The main objective of this study is to evaluate the probability of diabetic
patient tends to develop kidney disease using logistic regression model given the
result of his or her blood test and other predictor variables. This study took about 1 0
weeks between the end of November 2009 to February 2010 to complete the data
recorded. The data was taken from Specialist Medical Clinic, Hospital Melaka.
Sample was chosen randomly, depends on the number of patients that was treat at the
diabetic clinic every Monday. I managed to get a complete of 192 petients' record.
Explanatory variables that maybe associated with kidney disease were included in
this analysis are age, type of diabetes mellitus, body mass index, fasting blood sugar,
systolic and diastolic blood pressure, urea and creatinine level in blood. The analysis
was done using the SPSS version 15.0. Binary logistic regression analysis was used
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to assesed the association of eight explanatory variables with the response variable
that is having any kidney disease or not. The best fitted model was found. Four out of
eight predictor variables revealed a significant positive association with kidney
disease includes age, fasting blood sugar, urea and creatinine level in blood. When a
person does not make enough insulin, or respond to the insulin that is present, the
body cannot process glucose and it builds up in the bloodstream. High levels of
blood glucose increase the risk that a person with diabetes will progress to kidney
disease. While urea and creatinine level that are above the normal range tends to
show a sign of abnormality of kidney function filtration. Age would somehow
deteriorate certain organs depends on the patients' lifesyle risk factor and diet
consuming. Therefore diabetic patients should control their diabetes and should take
the test to diagnose kidney disease regularly as to slower the progress of getting
kidney disease or prevent it from worsening when it was spot earlier.
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PENGGUNAAN MODEL REGRESI LOGISTIK