These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

372 related articles for article (PubMed ID: 34979974)

  • 1. Comparison of different obesity indices associated with type 2 diabetes mellitus among different sex and age groups in Nantong, China: a cross-section study.
    Ge Q; Li M; Xu Z; Qi Z; Zheng H; Cao Y; Huang H; Duan X; Zhuang X
    BMC Geriatr; 2022 Jan; 22(1):20. PubMed ID: 34979974
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Association of body mass index and waist circumference with type 2 diabetes mellitus in older adults: a cross-sectional study.
    Bai K; Chen X; Song R; Shi W; Shi S
    BMC Geriatr; 2022 Jun; 22(1):489. PubMed ID: 35672667
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparison of different obesity indices related with hypertension among different sex and age groups in China.
    Ge Q; Qi Z; Xu Z; Li M; Zheng H; Duan X; Chu M; Zhuang X
    Nutr Metab Cardiovasc Dis; 2021 Mar; 31(3):793-801. PubMed ID: 33549448
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comparative analysis of anthropometric indices of obesity as correlates and potential predictors of risk for hypertension and prehypertension in a population in Nigeria.
    Ononamadu CJ; Ezekwesili CN; Onyeukwu OF; Umeoguaju UF; Ezeigwe OC; Ihegboro GO
    Cardiovasc J Afr; 2017 Mar/Apr 23; 28(2):92-99. PubMed ID: 27701484
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Evaluation of different obesity indices as predictors of type 2 diabetes mellitus in a Chinese population.
    Xiao X; Liu Y; Sun C; Gang X; Cheng J; Tian S; Gao Y; Lv Y; Sun Z; Li Y; He P; Liu Y; Wang G; Gao Y; Zhu L; Liu Y; Wang G
    J Diabetes; 2015 May; 7(3):386-92. PubMed ID: 25047243
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Using different anthropometric indices to assess prediction ability of type 2 diabetes in elderly population: a 5 year prospective study.
    Yang J; Wang F; Wang J; Han X; Hu H; Yu C; Yuan J; Yao P; Miao X; Wei S; Wang Y; Chen W; Liang Y; Guo H; Zhang X; Zheng D; Tang Y; Yang H; He M
    BMC Geriatr; 2018 Sep; 18(1):218. PubMed ID: 30223783
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [Body mass index, waist circumference and waist-to-height ratio associated with the incidence of type 2 diabetes mellitus: a cohort study].
    Yang XY; Zhang M; Luo XP; Wang JJ; Yin L; Pang C; Wang GA; Shen YX; Wu DT; Zhang L; Ren YC; Wang BY; Zhang HY; Zhou JM; Han CY; Zhao Y; Feng TP; Hu DS; Zhao JZ
    Zhonghua Yu Fang Yi Xue Za Zhi; 2016 Apr; 50(4):328-33. PubMed ID: 27029364
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Obesity indicators that best predict type 2 diabetes in an Indian population: insights from the Kerala Diabetes Prevention Program.
    Kapoor N; Lotfaliany M; Sathish T; Thankappan KR; Thomas N; Furler J; Oldenburg B; Tapp RJ
    J Nutr Sci; 2020; 9():e15. PubMed ID: 32328239
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction of a new body shape index and body adiposity estimator for development of type 2 diabetes mellitus: The Rural Chinese Cohort Study.
    Han C; Liu Y; Sun X; Luo X; Zhang L; Wang B; Ren Y; Zhou J; Zhao Y; Zhang D; Liu X; Zhang M; Hu D
    Br J Nutr; 2017 Nov; 118(10):771-776. PubMed ID: 29143718
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparison of Different Obesity Indices for Predicting Incident Hypertension.
    Janghorbani M; Aminorroaya A; Amini M
    High Blood Press Cardiovasc Prev; 2017 Jun; 24(2):157-166. PubMed ID: 28160265
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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; 23(1):201. PubMed ID: 37081416
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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; 14(1):10901. PubMed ID: 38740846
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Strong Association of Waist Circumference (WC), Body Mass Index (BMI), Waist-to-Height Ratio (WHtR), and Waist-to-Hip Ratio (WHR) with Diabetes: A Population-Based Cross-Sectional Study in Jilin Province, China.
    Zhang FL; Ren JX; Zhang P; Jin H; Qu Y; Yu Y; Guo ZN; Yang Y
    J Diabetes Res; 2021; 2021():8812431. PubMed ID: 34056007
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Association between anthropometric indicators of obesity and cardiovascular risk factors among adults in Shanghai, China.
    Zhang Y; Gu Y; Wang N; Zhao Q; Ng N; Wang R; Zhou X; Jiang Y; Wang W; Zhao G
    BMC Public Health; 2019 Aug; 19(1):1035. PubMed ID: 31375086
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Association between obesity indices and type 2 diabetes mellitus among middle-aged and elderly people in Jinan, China: a cross-sectional study.
    Wang S; Ma W; Yuan Z; Wang SM; Yi X; Jia H; Xue F
    BMJ Open; 2016 Nov; 6(11):e012742. PubMed ID: 27810975
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Comparison of the ability to identify arterial stiffness between two new anthropometric indices and classical obesity indices in Chinese adults.
    Zhang J; Fang L; Qiu L; Huang L; Zhu W; Yu Y
    Atherosclerosis; 2017 Aug; 263():263-271. PubMed ID: 28704699
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 19.