Login / Signup

Population attributable fractions of modifiable risk factors for microvascular complications of type 2 diabetes in China: An analysis using national cross-sectional data.

Chu LinXingyun ZhuRuoyang JiaoXiaoling CaiSuiyuan HuFang LvWenjia YangZonglin LiXiantong Zou
Published in: Diabetes, obesity & metabolism (2023)
Suboptimal glycaemic and BP control were the main contributors to diabetic microvascular complications, while the PAFs of unmet LDL-C and BMI control targets were quite limited for diabetic microvascular complications. In addition to glycaemic control, BP control should be especially prioritized in the management of diabetic microvascular complications to further reduce the disease burden.
Keyphrases
  • type diabetes
  • risk factors
  • cross sectional
  • cardiovascular disease
  • body mass index
  • metabolic syndrome
  • machine learning
  • big data
  • quality improvement
  • deep learning
  • artificial intelligence