Abstract
Background: In recent times, the incidence of Diabetic Retinopathy (DR) in the human society is increasing alarmingly. If untreated, diabetic retinopathy can lead to blindness.
Objective: The objective of the study was to examine the influence of factors, such as age, duration of diabetes, level of hyperglycaemia (HbA1c), duration of exercise, hypertension, triglycerides, HDLcholesterol, family history in the prediction of diabetic retinopathy (DR) by using binary logistic regression approach.
Methods: One hundred diabetes patients were selected and interviewed by using pre-designed and pretested questionnaire. Among 100 patients, 50 were diabetics with retinopathy and 50 were diabetics with no symptoms of retinopathy.
Results: Out of 100 patients, 68 (68%) were male and 32 (32%) were female. Mean age of the patients was 54.91 +/- 10.50 years (range: 30 -78). In this paper, we calculated the probability or chance to develop the diabetic retinopathy in a patient was 0.98.
Conclusion: The risk ratio has been computed on the basis of which prediction of diabetic retinopathy for a person is identified. By finding the influencing factors of DR, one can protect patients from the development of DR or reduce their probability of getting DR.