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602 related items for PubMed ID: 36407325
1. The lipid accumulation product is a powerful tool to diagnose metabolic dysfunction-associated fatty liver disease in the United States adults. Li H, Zhang Y, Luo H, Lin R. Front Endocrinol (Lausanne); 2022; 13():977625. PubMed ID: 36407325 [Abstract] [Full Text] [Related]
2. Assessment of the appropriate cutoff points for anthropometric indices and their relationship with cardio-metabolic indices to predict the risk of metabolic associated fatty liver disease. Hosseini SA, Alipour M, Sarvandian S, Haghighat N, Bazyar H, Aghakhani L. BMC Endocr Disord; 2024 Jun 04; 24(1):79. PubMed ID: 38834991 [Abstract] [Full Text] [Related]
3. Waist-to-height ratio, an optimal anthropometric indicator for metabolic dysfunction associated fatty liver disease in the Western Chinese male population. Cai J, Lin C, Lai S, Liu Y, Liang M, Qin Y, Liang X, Tan A, Gao Y, Lu Z, Wu C, Huang S, Yang X, Zhang H, Kuang J, Mo Z. Lipids Health Dis; 2021 Oct 27; 20(1):145. PubMed ID: 34706716 [Abstract] [Full Text] [Related]
4. Obesity- and lipid-related indices as a predictor of obesity metabolic syndrome in a national cohort study. Gui J, Li Y, Liu H, Guo LL, Li J, Lei Y, Li X, Sun L, Yang L, Yuan T, Wang C, Zhang D, Wei H, Li J, Liu M, Hua Y, Zhang L. Front Public Health; 2023 Oct 27; 11():1073824. PubMed ID: 36875382 [Abstract] [Full Text] [Related]
5. Comparison of visceral, general and central obesity indices in the prediction of metabolic syndrome in maintenance hemodialysis patients. Zhou C, Zhan L, Yuan J, Tong X, Peng Y, Zha Y. Eat Weight Disord; 2020 Jun 27; 25(3):727-734. PubMed ID: 30968371 [Abstract] [Full Text] [Related]
6. Comparison of novel and traditional anthropometric indices in Eastern-China adults: which is the best indicator of the metabolically obese normal weight phenotype? Chen Y, Wang C, Sun Q, Ye Q, Zhou H, Qin Z, Qi S, Wang W, Hong X. BMC Public Health; 2024 Aug 13; 24(1):2192. PubMed ID: 39138449 [Abstract] [Full Text] [Related]
7. Prediction of MAFLD and NAFLD using different screening indexes: A cross-sectional study in U.S. adults. Peng H, Pan L, Ran S, Wang M, Huang S, Zhao M, Cao Z, Yao Z, Xu L, Yang Q, Lv W. Front Endocrinol (Lausanne); 2023 Aug 13; 14():1083032. PubMed ID: 36742412 [Abstract] [Full Text] [Related]
8. Gender Differences in the Relationships among Metabolic Syndrome and Various Obesity-Related Indices with Nonalcoholic Fatty Liver Disease in a Taiwanese Population. Lin IT, Lee MY, Wang CW, Wu DW, Chen SC. Int J Environ Res Public Health; 2021 Jan 20; 18(3):. PubMed ID: 33498329 [Abstract] [Full Text] [Related]
9. Comparison of obesity indicators for predicting cardiovascular risk factors and multimorbidity among the Chinese population based on ROC analysis. Feng X, Zhu J, Hua Z, Yao S, Tong H. Sci Rep; 2024 Sep 09; 14(1):20942. PubMed ID: 39251694 [Abstract] [Full Text] [Related]
10. Association between anthropometric indices and hyperuricemia: a nationwide study in China. Chen D, Lu C, Chen K, Liu T, Li Y, Shan Z, Teng W, Thyroid disorders, Iodine status and Diabetes Epidemiological Survey Group (TIDE). Clin Rheumatol; 2024 Mar 09; 43(3):907-920. PubMed ID: 38315297 [Abstract] [Full Text] [Related]
11. Feasibility of body roundness index for identifying a clustering of cardiometabolic abnormalities compared to BMI, waist circumference and other anthropometric indices: the China Health and Nutrition Survey, 2008 to 2009. Tian S, Zhang X, Xu Y, Dong H. Medicine (Baltimore); 2016 Aug 09; 95(34):e4642. PubMed ID: 27559964 [Abstract] [Full Text] [Related]
12. Predicting hypertension by obesity- and lipid-related indices in mid-aged and elderly Chinese: a nationwide cohort study from the China Health and Retirement Longitudinal Study. Li Y, Gui J, Zhang X, Wang Y, Mei Y, Yang X, Liu H, Guo LL, Li J, Lei Y, Li X, Sun L, Yang L, Yuan T, Wang C, Zhang D, Wei H, Li J, Liu M, Hua Y, Zhang L. BMC Cardiovasc Disord; 2023 Apr 20; 23(1):201. PubMed ID: 37081416 [Abstract] [Full Text] [Related]
13. The Association between Cardio-metabolic and hepatic indices and anthropometric measures with metabolically obesity phenotypes: a cross-sectional study from the Hoveyzeh Cohort Study. Zakerkish M, Hoseinian A, Alipour M, Payami SP. BMC Endocr Disord; 2023 May 29; 23(1):122. PubMed ID: 37246210 [Abstract] [Full Text] [Related]
14. Optimal obesity- and lipid-related indices for predicting type 2 diabetes in middle-aged and elderly Chinese. Zhang X, Wang Y, Li Y, Gui J, Mei Y, Yang X, Liu H, Guo LL, Li J, Lei Y, Li X, Sun L, Yang L, Yuan T, Wang C, Zhang D, Li J, Liu M, Hua Y, Zhang L. Sci Rep; 2024 May 13; 14(1):10901. PubMed ID: 38740846 [Abstract] [Full Text] [Related]
15. Comparison of 10 obesity-related indices for predicting hypertension based on ROC analysis in Chinese adults. Lee X, Gao Y, Zhang Y, Feng Y, Gao L, Wang A, Jiang Y, Huang H. Front Public Health; 2022 May 13; 10():1042236. PubMed ID: 36504986 [Abstract] [Full Text] [Related]
16. The association of triglyceride-glucose-waist circumference with metabolic associated fatty liver disease and the severity of liver steatosis and fibrosis in American adults: a population-based study. Wu Z, Huang K, Bao S, Zhang X, Li J, Kong W, Shi Y, Xie Y. Scand J Gastroenterol; 2024 May 13; 59(5):561-569. PubMed ID: 38235548 [Abstract] [Full Text] [Related]
17. Comparison of seven anthropometric indexes to predict hypertension plus hyperuricemia among U.S. adults. Li Y, Zeng L. Front Endocrinol (Lausanne); 2024 May 13; 15():1301543. PubMed ID: 38524637 [Abstract] [Full Text] [Related]
18. Validation of non-invasive indicators in the screening of metabolic dysfunction-associated fatty liver disease: a cross-sectional study among Uighurs in rural Xinjiang. Guo Y, Hu Y, Yang J, Ma R, Zhang X, Guo H, Wang X, Li Y, Peng X, Zhang S, He J, Guo S. Eur J Med Res; 2023 Dec 02; 28(1):555. PubMed ID: 38042816 [Abstract] [Full Text] [Related]
19. Association between visceral adiposity index, lipid accumulation product and type 2 diabetes mellitus in US adults with hypertension: a cross-sectional analysis of NHANES from 2005 to 2018. Lv C, Huo R. BMC Endocr Disord; 2024 Oct 15; 24(1):216. PubMed ID: 39407231 [Abstract] [Full Text] [Related]
20. Anthropometric parameter that best predict metabolic syndrome in South west Nigeria. Adejumo EN, Adejumo AO, Azenabor A, Ekun AO, Enitan SS, Adebola OK, Ogundahunsi OA. Diabetes Metab Syndr; 2019 Oct 15; 13(1):48-54. PubMed ID: 30641748 [Abstract] [Full Text] [Related] Page: [Next] [New Search]