Kozioł Milena, Nowak Michał S, Koń Beata, Udziela Monika, Szaflik Jacek P
Polish Ministry of Health, Warsaw, Poland.
Provisus Eye Clinic, Czestochowa, Poland.
Arch Med Sci. 2021 May 22;18(2):320-327. doi: 10.5114/aoms/131264. eCollection 2022.
The aim of our study was to analyse the regional differences in diabetic retinopathy (DR) prevalence and its co-existing social and demographic factors in the overall population of Poland in the year 2017.
Data from all levels of healthcare services at public and private institutions recorded in the National Health Fund database were evaluated. International Classification of Diseases codes were used to identify patients with type 1 and type 2 diabetes mellitus (DM) and with DR. Moran's I statistics and Spatial Autoregressive (SAR) model allowed us to understand the distribution of DR prevalence and its possible association with environmental and demographic exposures.
In total, 310,815 individuals with diabetic retinopathy (DR) were diagnosed in the year 2017 in Poland. Of them, 174,384 (56.11%) were women, 221,144 (71.15%) lived in urban areas, and 40,231 (12.94%) and 270,584 (87.06%) had type 1 and type 2 DM, respectively. The analysis of the SAR model showed that the significant factors for the occurrence of DR in particular counties were a higher level of average income and a higher number of ophthalmologic consultations per 10,000 adults.
The analyses of social, demographic, and systemic factors co-existing with DR revealed that level of income and access to ophthalmologic and diabetic services are crucial in DR prevalence in Poland.
我们研究的目的是分析2017年波兰总人口中糖尿病视网膜病变(DR)患病率的地区差异及其并存的社会和人口因素。
对国家卫生基金数据库中记录的公立和私立机构各级医疗服务数据进行评估。使用国际疾病分类代码来识别1型和2型糖尿病(DM)以及糖尿病视网膜病变患者。莫兰指数(Moran's I)统计和空间自回归(SAR)模型使我们能够了解糖尿病视网膜病变患病率的分布及其与环境和人口暴露的可能关联。
2017年波兰共诊断出310,815例糖尿病视网膜病变(DR)患者。其中,174,384例(56.11%)为女性,221,144例(71.15%)居住在城市地区,40,231例(12.94%)和270,584例(87.06%)分别患有1型和2型糖尿病。SAR模型分析表明,特定县发生糖尿病视网膜病变的显著因素是平均收入水平较高以及每10,000名成年人中眼科咨询次数较多。
对与糖尿病视网膜病变并存的社会、人口和系统因素的分析表明,收入水平以及获得眼科和糖尿病服务的机会对波兰糖尿病视网膜病变的患病率至关重要。