Association between metal mixture exposure and abnormal glucose metabolism in multiple mixture exposure models: Evidence from NHANES 2015–2016
Jiamin Zhu, Shiman Hu, Shanshan Wang, Yuting Zhang, Qingyi Zhu, Mingzhi Zhang, Zhonghua Shi · 2023
Read Association between metal mixture exposure and abnormal glucose metabolism in multiple mixture exposure models: Evidence from NHANES 2015–2016 by Jiamin Zhu, Shiman Hu, Shanshan Wang, Yuting Zhang, Qingyi Zhu, Mingzhi Zhang, Zhonghua Shi (2023) 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-10714339.txt.
Description
Jiamin Zhu and six co-authors ask whether the cocktail of metals in American blood, rather than any single metal, tracks with broken blood sugar, in this 2023 study. Earlier work tested metals one at a time and split diabetes from prediabetes, producing a muddle. Their data come from the national NHANES survey of 2015 and 2016, with diabetes and prediabetes merged as abnormal glucose metabolism.
Four statistical machines, built for mixtures, were pointed at the same data. A standard model singled out cadmium and thallium, each raising the odds of abnormal metabolism slightly. A weighted sum model found the positive mixture as a whole significantly associated. A selection algorithm kept cadmium and thallium as top contributors. A flexible Bayesian model confirmed the joint effect, with cadmium trending clearly upward. Four methods, one verdict: among the metals measured, cadmium leads, thallium follows.
Catalog record
| CREATOR | Jiamin Zhu, Shiman Hu, Shanshan Wang, Yuting Zhang, Qingyi Zhu, Mingzhi Zhang, Zhonghua Shi |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 31 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |