Linear and non-linear relationships between red blood cell indices and cardiovascular risk factors: findings from the China National Health Survey
Huijing He, Li Pan, Feng Liu, Xiaolan Ren, Ze Cui, Lize Pa, Dingming Wang, Jingbo Zhao, Hailing Wang, Xianghua Wang, Jianwei Du, Xia Peng, Guangliang Shan · 2024
Read Linear and non-linear relationships between red blood cell indices and cardiovascular risk factors: findings from the China National Health Survey by Huijing He, Li Pan, Feng Liu, Xiaolan Ren, Ze Cui, Lize Pa, Dingming Wang, Jingbo Zhao, Hailing Wang, Xianghua Wang, Jianwei Du, Xia Peng, Guangliang Shan (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11657473.txt.
Description
Huijing He and co-authors link routine blood counts to heart risk factors in a 2024 study of the China National Health Survey. Red blood cell measures are cheap to test, and if they track risks such as diabetes and abnormal lipids, they could flag people for early checks. The team analyzed nearly thirty-two thousand survey participants from 2012 to 2017.
Three measures, hemoglobin, red cell count, and hematocrit, each rose in a straight-line pattern with every risk factor studied. People in the highest group for hemoglobin faced notably higher odds of high uric acid, diabetes, and poor lipid readings, though one good cholesterol measure fell. Most links bent rather than ran straight at the extremes, and the patterns differed between men and women.
Catalog record
| CREATOR | Huijing He, Li Pan, Feng Liu, Xiaolan Ren, Ze Cui, Lize Pa, Dingming Wang, Jingbo Zhao, Hailing Wang, Xianghua Wang, Jianwei Du, Xia Peng, Guangliang Shan |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 46 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |