AIMS Data-driven diabetes subgroups were proposed as an alternative to address diabetes heterogeneity. However, changes in trends for these subgroups have not been reported. Here, we analyzed trends of diabetes subgroups, stratified by sex, race, education level, age categories and time since diabetes diagnosis in the U.S.

中文翻译：

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美国糖尿病亚组的流行趋势：NHANES（1988-2018）跨越三个十年的数据驱动分析

AIMS数据驱动的糖尿病亚组被提议作为解决糖尿病异质性的替代方案。然而，尚未报告这些亚组的趋势变化。在这里，我们分析了糖尿病亚组的趋势，按性别、种族、教育水平、年龄类别和美国糖尿病诊断后的时间分层