Unveiling the BMI Risk Threshold for Osteoarthritis: Multi‐Database Causal and Nonlinear Evidence
Shaohong Yu, Li Zeng, Lei Yang, Yangjiang Ou, Chenglin Yang, Xiaoru Lin, Jingyi Shao, Qing Guan, Guobo Li, Xiuquan Lin · 2026
Read Unveiling the BMI Risk Threshold for Osteoarthritis: Multi‐Database Causal and Nonlinear Evidence by Shaohong Yu, Li Zeng, Lei Yang, Yangjiang Ou, Chenglin Yang, Xiaoru Lin, Jingyi Shao, Qing Guan, Guobo Li, Xiuquan Lin (2026) 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-13341413.txt.
Description
Shaohong Yu and colleagues mapped weight and joint disease in 2026 across many data banks, hunting weight cutoffs for sharp prevention. The study joined Global Burden of Disease 2021, NHANES 2007 to 2018, and gene wide data. Additive models drew the weight to joint disease curve with adjustment for confounders, while split models hunted cutoff effects.
From 1990 to 2021, age standardised joint disease rates and disability years were highest in high development regions, and rates rose in a curved way with weight. Gene based tests gauged causal effects on joint disease subtypes. Cutoffs from the work could sharpen weight based prevention for joint disease.
Catalog record
| CREATOR | Shaohong Yu, Li Zeng, Lei Yang, Yangjiang Ou, Chenglin Yang, Xiaoru Lin, Jingyi Shao, Qing Guan, Guobo Li, Xiuquan Lin |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 36 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |