Article
Associations of diabetes subgroups and lifestyle with incident dementia: insights from unsupervised phenotype clustering analysis.
Frontiers in endocrinology - 1 Jan 2026
Zhao Xuan, Wang Kan, Tan Zhiping, Wang Siyu, Meng Xi, Xiang Yu, Wang Yueyue, Zhang Xiaoyun, Lin Hong, Wang Shuangyuan, Li Mian, Wang Tiange, Zhao Zhiyun, Zheng Jie, Xu Min, Lu Jieli, Wang Weiqing, Ning Guang, Bi Yufang, Xu Yu
Abstract excerpt
Background: To investigate heterogeneity in dementia risk across diabetes subgroups and examine whether lifestyle mitigates this risk. Methods: We did an unsupervised clustering analysis (self-organizing maps) in patients with diabetes from the Health and Retirement Study (HRS). Clustering variables included age at diabetes onset, body mass index (BMI), hemoglobin A1c (HbA1c), total cholesterol (TC), high-density...
Read the complete abstract on PubMedTopics
- Humans
- Female
- Male
- Dementia
- Aged
- Clustering Algorithms