Misclassification Bias in the Waist‐To‐Hip Ratio: Implications for Obesity‐Related Risk of Incident Type 2 Diabetes
Si Han Hou, Jiao Wang, Tai Hing Lam, Lin Yang, Wei Sen Zhang, Lin Xu, Suraiya Saleem · 2026
Read Misclassification Bias in the Waist‐To‐Hip Ratio: Implications for Obesity‐Related Risk of Incident Type 2 Diabetes by Si Han Hou, Jiao Wang, Tai Hing Lam, Lin Yang, Wei Sen Zhang, Lin Xu, Suraiya Saleem (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/PMC13250689.txt.
Description
Si Han Hou and colleagues question a common body measure in this 2026 study of diabetes risk. The waist-to-hip ratio is meant to capture risky belly fat, but it can hide whether a large waist, large hips, or both sit behind the number.
The team followed 15,211 Chinese adults aged 50 and over for a median of about five years, and 2,238 developed type 2 diabetes. People with both a large waist and large hips had higher risk than the ratio suggested, and the ratio sorted risk worse than waist size alone. Adding body mass index to the ratio fixed much of the error, and the authors advise using them together.
Catalog record
| CREATOR | Si Han Hou, Jiao Wang, Tai Hing Lam, Lin Yang, Wei Sen Zhang, Lin Xu, Suraiya Saleem |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 38762 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |