| Autor: |
Jia-qi Hao, Shu-yue Hu, Zi-xuan Zhuang, Jia-wan Zhang, Meng-rui Xiong, Rui Wang, Wen Zhuang, Mo-jin Wang |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Lipids in Health and Disease, Vol 23, Iss 1, Pp 1-11 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
1476-511X |
| DOI: |
10.1186/s12944-024-02373-w |
| Popis: |
Abstract Background The ZJU index is an innovative computational method which integrates BMI, FBG, TG, and ALT to AST ratio. It strongly correlates with measures of lipid metabolism and glucose intolerance. No researches have yet explored the relationship between the ZJU index and sarcopenia. Methods We analyzed NHANES data from 2011 to 2018, dividing the ZJU index into quartiles. The association was investigated by adjusting for confounders using multivariable linear and logistic regression analysis. Results were visualized through RCS regression and threshold effect analyses. We conducted various subgroup and sensitivity analyses and plotted ROC curves to assess prediction efficacy, with the AUC as the measure of accuracy. Results As the ZJU index increases, the prevalence of sarcopenia also rises. Following the control of potential confounders via logistic regression analysis, our research identified a distinct relationship between the ZJU index and sarcopenia, which was statistically significant (P |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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