The International Diabetes Federation Diabetes Atlas methodology for estimating global and national prevalence of diabetes in adults
The International Diabetes Federation Diabetes Atlas methodology for estimating global and national prevalence of diabetes in adults
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DOI：
10.1016/j.diabres.2011.10.040
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发表时间：
2011-12-01
影响因子：
5.1
通讯作者：
Unwin, Nigel
中科院分区：
文献类型：
--
作者：
Guariguata, Leonor;Whiting, David;Unwin, Nigel
导言：糖尿病是发病率和死亡率的主要原因，其全球患病率正在迅速增长。一种简单而有力的方法来估计糖尿病的患病率，对于各国政府确定如何应对该疾病挑战的优先事项至关重要。国际糖尿病联合会开发了一种方法，用于估算国家一级成人（20-79岁）糖尿病患病率。方法：使用来自同行评议研究、国家卫生统计报告、委托研究的糖尿病患病率和通过个人交流获得的未发表数据的国家级数据来源，我们使用逻辑回归来产生糖尿病患病率的估计。采用按民族、地理和收入群体匹配各国的方法来填补无法获得原始数据来源的空白。该方法还利用城市化和人口的变化对成人糖尿病患病率进行估计和预测。结论：糖尿病患病率估计对其所依据的数据非常敏感。修订后的IDF估算糖尿病患病率方法是一种透明、可重复的方法，将每年更新一次。它采用数据驱动的方法来填补无法获得数据和必须做出假设的空白。它使用资格系统对数据源进行排序，以便只使用最高质量的数据。2011爱思唯尔爱尔兰有限公司版权所有。
Introduction: Diabetes is a major cause of morbidity and mortality and its global prevalence is growing rapidly. A simple and robust approach to estimate the prevalence of diabetes is essential for governments to set priorities on how to meet the challenges of the disease. The International Diabetes Federation has developed a methodology for generating country-level estimates of diabetes prevalence in adults (20-79 years).Methods: Using country-level data sources from peer-reviewed studies, national health statistics reports, commissioned studies on diabetes prevalence, and unpublished data obtained through personal communication, we use logistic regression to generate estimates of the prevalence of diabetes. An approach matching countries on ethnicity, geography, and income group is used to fill in gaps where original data sources are not available. The methodology also uses changes in urbanization and population to generate estimates and projections on the prevalence of diabetes in adults.Conclusion: Diabetes prevalence estimates are very sensitive to the data from which they are derived. The revised IDF methodology for estimating diabetes prevalence is a transparent, reproducible approach that will be updated annually. It takes data-driven approaches to filling in gaps where data are not available and where assumptions have to be made. It uses a qualification system to rank data sources so that only the highest quality data are used. (C) 2011 Elsevier Ireland Ltd. All rights reserved.