Dynamic physical examination indicators of cardiovascular health: A single-center study in Shanghai, China

PLoS One. 2022 May 12;17(5):e0268358. doi: 10.1371/journal.pone.0268358. eCollection 2022.

Abstract

Dynamic physical examination data can provide both cross-sectional and time-series characteristics of cardiovascular health. However, most physical examination databases containing health and disease information have not been fully utilized in China. Hence, this study aimed to analyze dynamic physical examination indicators for cardiovascular health to provide evidence for precise prevention and control of cardiovascular diseases in the primary prevention domain among healthy population with different demographic characteristics in Shanghai. Three-year continuous data were collected from the physical examination center of a hospital in Shanghai from 2018 to 2020, which included a total of 14,044 participants with an average age of 46.51±15.57 years. The cardiovascular status of overall healthy individuals may have a decreasing trend, which is manifested as a significant year-on-year decrease in high-density lipoprotein cholesterol; a significant year-on-year increase in total cholesterol, low-density lipoprotein cholesterol, and blood glucose levels; and a possible increasing trend of diastolic blood pressure, body mass index, and triglycerides. Healthy population with different sex and age groups have various sensitives to cardiovascular physical examination indicators. To conduct more accurate cardiovascular health management and health promotion for key populations in primary prevention, focusing on the dynamic trends of blood pressure, blood lipids, blood glucose, and body mass index in men and changes in total cholesterol in women over time is especially important. The age group of 50-69 years is key for better prevention and control of cardiovascular health.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Blood Glucose*
  • Blood Pressure
  • Body Mass Index
  • Cardiovascular Diseases* / diagnosis
  • Cardiovascular Diseases* / epidemiology
  • China / epidemiology
  • Cholesterol, HDL
  • Cross-Sectional Studies
  • Female
  • Humans
  • Male
  • Middle Aged
  • Risk Factors

Substances

  • Blood Glucose
  • Cholesterol, HDL

Grants and funding

This work was supported by the Soft Science Project of Shanghai Science and Technology Innovation Action Plan, grant number 21692191300 (receiver: W.Y.), the Zhejiang Provincial Natural Science Foundation of China, grant number LQ21H100001 (receiver: X.L.), and the Hangzhou Health Science and Technology Program, grant number B20220431 (receiver: X.L.). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.