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Global burden of cardiovascular disease attributable to metabolic risk factors, 1990-2019: an analysis of observational data from a 2019 Global Burden of Disease study.

Shuyi WuWenlin XuChengfu GuanMeina LvShaojun JiangJin-Hua Zhang
Published in: BMJ open (2023)
Metabolic-attributed CVD threatens public health, especially in low-SDI locations and among the elderly. Low SDI location should strengthen the control of metabolic factors such as high SBP, high BMI, and high LDL-c and increase the knowledge of metabolic risk factors for CVD. Countries and regions should enhance screening and prevention of metabolic risk factors of CVD in the elderly. Policy-makers should use 2019 GBD data to guide cost-effective interventions and resource allocation.
Keyphrases
  • risk factors
  • public health
  • cardiovascular disease
  • healthcare
  • big data
  • physical activity
  • mental health
  • type diabetes
  • machine learning
  • artificial intelligence
  • weight gain
  • data analysis
  • cross sectional
  • weight loss