Latent class analysis suggests four classes of persons with type 2 diabetes mellitus based on complications and comorbidities in Tianjin, China: a cross-sectional analysis.

@article{Gao2017LatentCA,
  title={Latent class analysis suggests four classes of persons with type 2 diabetes mellitus based on complications and comorbidities in Tianjin, China: a cross-sectional analysis.},
  author={Fei Gao and Jiageng Chen and Xiaoqian Liu and Xuying Wang and Haozuo Zhao and Duolan Han and Xiyue Jing and Yuanyuan Liu and Zhuang Cui and Changping Li and Jun Ma},
  journal={Endocrine journal},
  year={2017},
  volume={64 10},
  pages={
          1007-1016
        }
}
The aim of this study was to explore a new classification way in persons with type 2 diabetes mellitus based on complications and comorbidities using Latent Class Analysis, moreover, finding out the factors associated with different latent classes and making specific suggestions. In this study, 5,500 patients with type 2 diabetes mellitus from ten hospitals in Tianjin, China were selected, and the response rate was 96.2%. Latent Class Analysis was used to cluster patients. After compared the… CONTINUE READING