235 related articles for article (PubMed ID: 38315297)
21. Predicting value of five anthropometric measures in metabolic syndrome among Jiangsu Province, China.
Tian T; Zhang J; Zhu Q; Xie W; Wang Y; Dai Y
BMC Public Health; 2020 Aug; 20(1):1317. PubMed ID: 32867710
[TBL] [Abstract][Full Text] [Related]
22. Evaluation of anthropometric indices as a predictor of diabetes in Dong and Miao ethnicities in China: A cross-sectional analysis of China Multi-Ethnic Cohort Study.
Yang Q; Liu Y; Jin Z; Liu L; Yuan Z; Xu D; Hong F
PLoS One; 2022; 17(3):e0265228. PubMed ID: 35275976
[TBL] [Abstract][Full Text] [Related]
23. [Different anthropometric indices and incident risk of hypertension in elderly population: a prospective cohort study].
Yang J; Wang F; Han X; Yuan J; Yao P; Liang Y; Wei S; Zhang XM; Guo H; Yang HD; He MA
Zhonghua Yu Fang Yi Xue Za Zhi; 2019 Mar; 53(3):272-278. PubMed ID: 30841666
[No Abstract] [Full Text] [Related]
24. 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
[TBL] [Abstract][Full Text] [Related]
25. New anthropometric indices or old ones: which perform better in estimating cardiovascular risks in Chinese adults.
Wang F; Chen Y; Chang Y; Sun G; Sun Y
BMC Cardiovasc Disord; 2018 Jan; 18(1):14. PubMed ID: 29378513
[TBL] [Abstract][Full Text] [Related]
26. Obesity- and lipid-related indices as a predictor of type 2 diabetes in a national cohort study.
Wang Y; Zhang X; 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
Front Endocrinol (Lausanne); 2023; 14():1331739. PubMed ID: 38356678
[TBL] [Abstract][Full Text] [Related]
27. Comparison of obesity indices and triglyceride glucose-related parameters to predict type 2 diabetes mellitus among normal-weight elderly in China.
Ke P; Wu X; Xu M; Feng J; Xu H; Gan Y; Wang C; Deng Z; Liu X; Fu W; Tian Q; He Y; Zhong L; Jiang H; Lu Z
Eat Weight Disord; 2022 Apr; 27(3):1181-1191. PubMed ID: 34195936
[TBL] [Abstract][Full Text] [Related]
28. Association between hyperuricemia and nontraditional adiposity indices.
Liu XZ; Li HH; Huang S; Zhao DB
Clin Rheumatol; 2019 Apr; 38(4):1055-1062. PubMed ID: 30498873
[TBL] [Abstract][Full Text] [Related]
29. Association of obesity, triglyceride-glucose and its derivatives index with risk of hyperuricemia among college students in Qingdao, China.
Zhou S; Yu Y; Zhang Z; Ma L; Wang C; Yang M; Cheng X; Liu T; Sun R; Chen Y
Front Endocrinol (Lausanne); 2022; 13():1001844. PubMed ID: 36277703
[TBL] [Abstract][Full Text] [Related]
30. Waist-to-Height Ratio Is a Better Predictor of Hyperuricemia than Body Mass Index and Waist Circumference in Chinese.
Huang ZP; Huang BX; Zhang H; Zhu MF; Zhu HL
Ann Nutr Metab; 2019; 75(3):187-194. PubMed ID: 31743929
[TBL] [Abstract][Full Text] [Related]
31. Obesity-and lipid-related indices as a predictor of hypertension in Mid-aged and Elderly Chinese: A Cross-sectional 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; Li J; Liu M; Hua Y; Zhang L
Res Sq; 2023 Mar; ():. PubMed ID: 37034776
[TBL] [Abstract][Full Text] [Related]
32. Visceral Adiposity Index and Lipid Accumulation Product Index: Two Alternate Body Indices to Identify Chronic Kidney Disease among the Rural Population in Northeast China.
Dai D; Chang Y; Chen Y; Chen S; Yu S; Guo X; Sun Y
Int J Environ Res Public Health; 2016 Dec; 13(12):. PubMed ID: 27983609
[TBL] [Abstract][Full Text] [Related]
33. Predictive performance of traditional and novel lipid combined anthropometric indices to identify prediabetes.
Ramdas Nayak VK; Nayak KR; Vidyasagar S; P R
Diabetes Metab Syndr; 2020; 14(5):1265-1272. PubMed ID: 32688243
[TBL] [Abstract][Full Text] [Related]
34. Fetuin-A and Its Association with Anthropometric, Atherogenic, and Biochemical Parameters and Indices among Women with Polycystic Ovary Syndrome.
Kulik-Kupka K; Jabczyk M; Nowak J; Jagielski P; Hudzik B; Zubelewicz-Szkodzińska B
Nutrients; 2022 Sep; 14(19):. PubMed ID: 36235688
[TBL] [Abstract][Full Text] [Related]
35. Central adiposity markers, plasma lipid profile and cardiometabolic risk prediction in overweight-obese individuals.
Barazzoni R; Gortan Cappellari G; Semolic A; Ius M; Zanetti M; Gabrielli A; Vinci P; Guarnieri G; Simon G
Clin Nutr; 2019 Jun; 38(3):1171-1179. PubMed ID: 29779870
[TBL] [Abstract][Full Text] [Related]
36. 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; 23(1):122. PubMed ID: 37246210
[TBL] [Abstract][Full Text] [Related]
37. Novel anthropometric indices for predicting type 2 diabetes mellitus.
Sadeghi E; Khodadadiyan A; Hosseini SA; Hosseini SM; Aminorroaya A; Amini M; Javadi S
BMC Public Health; 2024 Apr; 24(1):1033. PubMed ID: 38615018
[TBL] [Abstract][Full Text] [Related]
38. The usefulness of obesity and lipid-related indices to predict the presence of Non-alcoholic fatty liver disease.
Sheng G; Lu S; Xie Q; Peng N; Kuang M; Zou Y
Lipids Health Dis; 2021 Oct; 20(1):134. PubMed ID: 34629059
[TBL] [Abstract][Full Text] [Related]
39. Determining the best method for evaluating obesity and the risk for non-communicable diseases in women of childbearing age by measuring the body mass index, waist circumference, waist-to-hip ratio, waist-to-height ratio, A Body Shape Index, and hip index.
Hewage N; Wijesekara U; Perera R
Nutrition; 2023 Oct; 114():112135. PubMed ID: 37453224
[TBL] [Abstract][Full Text] [Related]
40. Associations of vitamin D with novel and traditional anthropometric indices according to age and sex: a cross-sectional study in central southern China.
Zhu XL; Chen ZH; Li Y; Yang PT; Liu L; Wu LX; Wang YQ
Eat Weight Disord; 2020 Dec; 25(6):1651-1661. PubMed ID: 31728924
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
