研究目的
To describe the prevalence of diabetic retinopathy (DR) and its associated risk factors among diabetic patients in Fars province, Iran.
研究成果
The prevalence of diabetic retinopathy was 32.8%. Longer diabetes duration, obesity, lower education levels, insulin treatment, and presence of chronic diseases were significantly associated with higher risk of DR. Controlling these risk factors could reduce the prevalence and impact of retinopathy in Iran.
研究不足
The study was conducted in a single referral center, which may limit generalizability. There is a possibility of differences in clinical characteristics between recruited and not-recruited patients due to lack of comprehensive data registry, and some biochemical data were not available.
1：Experimental Design and Method Selection:
A cross-sectional study design was employed to assess the prevalence and risk factors of diabetic retinopathy. Data were collected through medical records review and face-to-face interviews using a structured questionnaire. Logistic regression analysis was used to identify associations between risk factors and DR.
2：Sample Selection and Data Sources:
478 diabetic patients admitted to the Motahari referral diabetes and ophthalmic clinic in Shiraz, Iran from 2015 to 2016 were included. Patients were selected based on medical records availability and routine checks by an expert physician.
3：List of Experimental Equipment and Materials:
Standard mercury sphygmomanometers for blood pressure measurement, Bayer DCA 2000+ analyzer for HbA1c measurement, and a structured questionnaire for demographic and clinical data collection.
4：Experimental Procedures and Operational Workflow:
Data were obtained from patients' medical records and interviews. Blood pressure was measured in a seated position, HbA1c levels were measured and categorized, and DR was classified based on Watkins standards. Written and verbal consent were obtained from participants.
5：Data Analysis Methods:
IBM SPSS statistical software version 21.0 was used for logistic regression analysis. Multivariable analysis included variables with P<0.25 in univariate analysis, with P<0.05 considered statistically significant.
独家科研数据包，助您复现前沿成果，加速创新突破
获取完整内容
