Association of dietary quality, biological aging, progression and mortality of cardiovascular-kidney-metabolic syndrome: insights from mediation and machine learning approaches.

Abstract

Authors

• Junfeng Ge
  Department of Nephrology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China.
• Lin Zhu
  Institute of Environmental Technology, College of Environmental and Resource Sciences; Zhejiang University, Hangzhou 310058, China.
• Sijie Jiang
  Department of Otolaryngology Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha 410078, Hunan, China.
• Wenyan Li
  School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social risk Governance in Health, Chongqing Medical University, Chongqing 400016, China.
• Rongzhan Lin
  Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
• Jun Wu
  Department of Emergency, Zhuhai Integrated Traditional Chinese and Western Medicine Hospital, Zhuhai, 519020, Guangdong Province, China. quanshabai43@163.com.
• Fengying Dong
  Third District of Cadre ward, General Hospital of Southern Theater Command of PLA, Guangzhou, China.
• Jin Deng
• Yi Lu
  Department of Gastrointestinal Endoscopy, The Sixth Affiliated Hospital, Sun Yat-Sen University, 26th Yuancun the Second Road, Guangzhou, 510655, Guangdong Province, China.

Keywords

External Resources