BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

160 related articles for article (PubMed ID: 36523583)

  • 1. Longitudinal relationship between body fat percentage and risk of type 2 diabetes in Chinese adults: Evidence from the China Health and Nutrition Survey.
    Zhang S; Jiang H; Wang L; Jia X; Zhang J; Wang H; Zhang B; Wang Z; Ding G
    Front Public Health; 2022; 10():1032130. PubMed ID: 36523583
    [TBL] [Abstract][Full Text] [Related]  

  • 2. [The optimal cut-off values of body fat percentage in adults among Chinese three provinces].
    Fan D; Su C; Du W; Wang H; Wang Z; Zhang B
    Wei Sheng Yan Jiu; 2018 Mar; 47(2):228-231. PubMed ID: 29903273
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Anthropometry and body composition in northern Asian Indian patients with type 2 diabetes: receiver operating characteristics (ROC) curve analysis of body mass index with percentage body fat as standard.
    Vikram NK; Misra A; Pandey RM; Dudeja V; Sinha S; Ramadevi J; Kumar A; Chaudhary D
    Diabetes Nutr Metab; 2003 Feb; 16(1):32-40. PubMed ID: 12848303
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Optimal body fat percentage cut-off values for identifying cardiovascular risk factors in Mongolian and Han adults: a population-based cross-sectional study in Inner Mongolia, China.
    Li Y; Wang H; Wang K; Wang W; Dong F; Qian Y; Gong H; Xu G; Li G; Pan L; Zhu G; Shan G
    BMJ Open; 2017 Apr; 7(4):e014675. PubMed ID: 28420663
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Receiver operating characteristic curve analysis of BMI and percentage body fat in type 2 diabetics of Punjab.
    Singh KD; Dhillon JK; Arora A; Gill BS
    Indian J Physiol Pharmacol; 2004 Jan; 48(1):73-80. PubMed ID: 15270372
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Optimal body fat percentage cut-offs for obesity in Chinese adults.
    Li L; Wang C; Bao Y; Peng L; Gu H; Jia W
    Clin Exp Pharmacol Physiol; 2012 Apr; 39(4):393-8. PubMed ID: 22320261
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The development and validation of new equations for estimating body fat percentage among Chinese men and women.
    Liu X; Sun Q; Sun L; Zong G; Lu L; Liu G; Rosner B; Ye X; Li H; Lin X
    Br J Nutr; 2015 May; 113(9):1365-72. PubMed ID: 25850941
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [Optimum body fat percentage cut-off in evaluation of overweight and obesity among adult people].
    Zhang Q; Zhou S; Yan X; Nan L; Yang L
    Wei Sheng Yan Jiu; 2019 Jul; 48(4):573-576. PubMed ID: 31601354
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Associations of BMI, waist circumference, body fat, and skeletal muscle with type 2 diabetes in adults.
    Han TS; Al-Gindan YY; Govan L; Hankey CR; Lean MEJ
    Acta Diabetol; 2019 Aug; 56(8):947-954. PubMed ID: 30927105
    [TBL] [Abstract][Full Text] [Related]  

  • 10. BMI does not accurately predict overweight in Asian Indians in northern India.
    Dudeja V; Misra A; Pandey RM; Devina G; Kumar G; Vikram NK
    Br J Nutr; 2001 Jul; 86(1):105-12. PubMed ID: 11432771
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Longitudinally evaluated the relationship between body fat percentage and the risk for type 2 diabetes mellitus: Korean Genome and Epidemiology Study (KoGES).
    Park SK; Ryoo JH; Oh CM; Choi JM; Jung JY
    Eur J Endocrinol; 2018 May; 178(5):513-521. PubMed ID: 29523634
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Obesity measures in the Kiribati population: a need to reclassify body mass index cut-points.
    Eme PE; Burlingame B; Kim ND; Foliaki S; Wham C; Douwes J
    BMC Public Health; 2020 Jul; 20(1):1092. PubMed ID: 32652963
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The utility of fat mass index vs. body mass index and percentage of body fat in the screening of metabolic syndrome.
    Liu P; Ma F; Lou H; Liu Y
    BMC Public Health; 2013 Jul; 13():629. PubMed ID: 23819808
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The paradox of low body mass index and high body fat percentage among Chinese, Malays and Indians in Singapore.
    Deurenberg-Yap M; Schmidt G; van Staveren WA; Deurenberg P
    Int J Obes Relat Metab Disord; 2000 Aug; 24(8):1011-7. PubMed ID: 10951540
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Normal weight obesity in Korean adults.
    Kim MK; Han K; Kwon HS; Song KH; Yim HW; Lee WC; Park YM
    Clin Endocrinol (Oxf); 2014 Feb; 80(2):214-20. PubMed ID: 23362933
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Obesity misclassification and the metabolic syndrome in adults with functional mobility impairments: Nutrition Examination Survey 2003-2006.
    Peterson MD; Al Snih S; Stoddard J; Shekar A; Hurvitz EA
    Prev Med; 2014 Mar; 60():71-6. PubMed ID: 24361792
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Lower BMI cut-off value to define obesity in Hong Kong Chinese: an analysis based on body fat assessment by bioelectrical impedance.
    Ko GT; Tang J; Chan JC; Sung R; Wu MM; Wai HP; Chen R
    Br J Nutr; 2001 Feb; 85(2):239-42. PubMed ID: 11242492
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Comparison of body mass index with body fat percentage in the evaluation of obesity in Chinese.
    Wang C; Hou XH; Zhang ML; Bao YQ; Zou YH; Zhong WH; Xiang KS; Jia WP
    Biomed Environ Sci; 2010 Jun; 23(3):173-9. PubMed ID: 20708495
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Trajectories of Meat Intake and Risk of Type 2 Diabetes: Findings from the China Health and Nutrition Survey (1997-2018).
    Liu M; Wang H; Du S; Jiao Y; Wang Q; Su C; Zhang B; Ding G
    Nutrients; 2023 Jul; 15(14):. PubMed ID: 37513694
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Relationship between body composition indicators and risk of type 2 diabetes mellitus in Chinese adults.
    Chen Y; He D; Yang T; Zhou H; Xiang S; Shen L; Wen J; Chen S; Peng S; Gan Y
    BMC Public Health; 2020 Apr; 20(1):452. PubMed ID: 32252701
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.