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 *

1113 related articles for article (PubMed ID: 16054556)

  • 41. Anthropometric indices of obesity and hypertension in different age and gender groups of Croatian population.
    Uhernik AI; Milanović SM
    Coll Antropol; 2009 Apr; 33 Suppl 1():75-80. PubMed ID: 19563150
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Cardiovascular disease risk factors, metabolic syndrome and obesity in an Iranian population.
    Kelishadi R; Gharipour M; Sadri GH; Tavasoli AA; Amani A
    East Mediterr Health J; 2008; 14(5):1070-9. PubMed ID: 19161079
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Waist-hip ratio and blood pressure correlation in an urban Indian population.
    Gupta R; Mehrishi S
    J Indian Med Assoc; 1997 Jul; 95(7):412-5. PubMed ID: 9425839
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Waist circumference cut-off points for identification of abdominal obesity among the tunisian adult population.
    Bouguerra R; Alberti H; Smida H; Salem LB; Rayana CB; El Atti J; Achour A; Gaigi S; Slama CB; Zouari B; Alberti KG
    Diabetes Obes Metab; 2007 Nov; 9(6):859-68. PubMed ID: 17924868
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Dramatic rise in overweight and obesity in adult filipino women and risk of hypertension.
    Adair LS
    Obes Res; 2004 Aug; 12(8):1335-41. PubMed ID: 15340117
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Gender differences in the association between anthropometric indices of obesity and blood pressure in Japanese.
    Sakurai M; Miura K; Takamura T; Ota T; Ishizaki M; Morikawa Y; Kido T; Naruse Y; Nakagawa H
    Hypertens Res; 2006 Feb; 29(2):75-80. PubMed ID: 16755140
    [TBL] [Abstract][Full Text] [Related]  

  • 47. [Correlation of anthropometric parameters and blood-pressure in elderly people].
    Rurik I; Nagy K; Antal M
    Orv Hetil; 2004 Jun; 145(23):1237-41. PubMed ID: 15264592
    [TBL] [Abstract][Full Text] [Related]  

  • 48. The prevalence of metabolic syndrome in Chinese postmenopausal women and the optimum body composition indices to predict it.
    Ruan X; Jin J; Hua L; Liu Y; Wang J; Liu S
    Menopause; 2010; 17(3):566-70. PubMed ID: 20054286
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Anthropometry measures and prevalence of obesity in the urban adult population of Cameroon: an update from the Cameroon Burden of Diabetes Baseline Survey.
    Kamadjeu RM; Edwards R; Atanga JS; Kiawi EC; Unwin N; Mbanya JC
    BMC Public Health; 2006 Sep; 6():228. PubMed ID: 16970806
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Which anthropometric measurements is most closely related to elevated blood pressure?
    Yalcin BM; Sahin EM; Yalcin E
    Fam Pract; 2005 Oct; 22(5):541-7. PubMed ID: 15964872
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Relationship of total body fatness and five anthropometric indices in Chinese aged 20-40 years: different effects of age and gender.
    Lei SF; Liu MY; Chen XD; Deng FY; Lv JH; Jian WX; Xu H; Tan LJ; Yang YJ; Wang YB; Xiao SM; Sun X; Jiang C; Guo YF; Guo JJ; Li YN; Liu YJ; Deng HW
    Eur J Clin Nutr; 2006 Apr; 60(4):511-8. PubMed ID: 16319834
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Waist circumference and BMI cut-off based on 10-year cardiovascular risk: evidence for "central pre-obesity".
    Ko GT; Tang JS
    Obesity (Silver Spring); 2007 Nov; 15(11):2832-9. PubMed ID: 18070775
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Detection of cardiovascular risk factors by anthropometric measures in Tehranian adults: receiver operating characteristic (ROC) curve analysis.
    Mirmiran P; Esmaillzadeh A; Azizi F
    Eur J Clin Nutr; 2004 Aug; 58(8):1110-8. PubMed ID: 15280905
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Impact of dysglycemia, body mass index, and waist-to-hip ratio on the prevalence of systemic hypertension in a lean Chinese population.
    Lin S; Cheng TO; Liu X; Mai J; Rao X; Gao X; Deng H; Shi M
    Am J Cardiol; 2006 Mar; 97(6):839-42. PubMed ID: 16516586
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Heterogeneity of body mass index, waist circumference, and waist-to-hip ratio in predicting obesity-related metabolic disorders for Taiwanese aged 35-64 y.
    Chen CC; Wang WS; Chang HY; Liu JS; Chen YJ
    Clin Nutr; 2009 Oct; 28(5):543-8. PubMed ID: 19473734
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Trends in overweight and obesity from 1985 to 2002 in Göteborg, West Sweden.
    Berg C; Rosengren A; Aires N; Lappas G; Torén K; Thelle D; Lissner L
    Int J Obes (Lond); 2005 Aug; 29(8):916-24. PubMed ID: 15852045
    [TBL] [Abstract][Full Text] [Related]  

  • 57. [Obesity and overweight in Croatia].
    Heim I; Leontić K; Gostović MJ
    Acta Med Croatica; 2007 Jun; 61(3):267-73. PubMed ID: 17629101
    [TBL] [Abstract][Full Text] [Related]  

  • 58. The association of cardiovascular disease risk factors with abdominal obesity in Canada. Canadian Heart Health Surveys Research Group.
    Reeder BA; Senthilselvan A; Després JP; Angel A; Liu L; Wang H; Rabkin SW
    CMAJ; 1997 Jul; 157 Suppl 1():S39-45. PubMed ID: 9220953
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Role of waist circumference in predicting the risk of high blood pressure in children.
    Kovacs VA; Gabor A; Fajcsak Z; Martos E
    Int J Pediatr Obes; 2010 Apr; 5(2):143-50. PubMed ID: 19606375
    [TBL] [Abstract][Full Text] [Related]  

  • 60. [Profile on circadian blood pressure and the influencing factors in essential hypertensive patients after treatment].
    Qiu YG; Yao XY; Tao QM; Zheng P; Chen JZ; Zhu JH; Zhang FR; Zheng LR; Zhao LL
    Zhonghua Liu Xing Bing Xue Za Zhi; 2004 Aug; 25(8):710-4. PubMed ID: 15555399
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 56.