277 related articles for article (PubMed ID: 24103435)
41. Waist-to-Height Ratio as an Index for Cardiometabolic Risk in Adolescents: Results from the 1998-2008 KNHANES.
Chung IH; Park S; Park MJ; Yoo EG
Yonsei Med J; 2016 May; 57(3):658-63. PubMed ID: 26996566
[TBL] [Abstract][Full Text] [Related]
42. Comparison of the Ability of Anthropometric Indices to Predict the Risk of Diabetes Mellitus in South African Males: SANHANES-1.
Sekgala MD; Sewpaul R; Opperman M; Mchiza ZJ
Int J Environ Res Public Health; 2022 Mar; 19(6):. PubMed ID: 35328910
[TBL] [Abstract][Full Text] [Related]
43. Neck circumference: a useful screening tool of cardiovascular risk in children.
Androutsos O; Grammatikaki E; Moschonis G; Roma-Giannikou E; Chrousos GP; Manios Y; Kanaka-Gantenbein C
Pediatr Obes; 2012 Jun; 7(3):187-95. PubMed ID: 22505226
[TBL] [Abstract][Full Text] [Related]
44. Body mass index, waist circumference and waist-to-hip ratio cut-off points for categorisation of obesity among Omani Arabs.
Al-Lawati JA; Jousilahti P
Public Health Nutr; 2008 Jan; 11(1):102-8. PubMed ID: 17572936
[TBL] [Abstract][Full Text] [Related]
45. Waist-to-height ratio may be an alternative tool to the body mass index for identifying Colombian adolescents with cardiometabolic risk factors.
Aristizabal JC; Estrada-Restrepo A; Barona J
Nutr Hosp; 2019 Mar; 36(1):96-102. PubMed ID: 30834755
[TBL] [Abstract][Full Text] [Related]
46. [Anthropometric measurements of general and central obesity and discriminative capacity on cardiovascular risk: RICARTO study].
Segura-Fragoso A; Rodríguez-Padial L; Alonso-Moreno FJ; Villarín-Castro A; Rojas-Martelo GA; Rodríguez-Roca GC; Sánchez-Pérez M
Semergen; 2019; 45(5):323-332. PubMed ID: 31105030
[TBL] [Abstract][Full Text] [Related]
47. The Use of Anthropometric Measurements of Obesity in Prediction of Microvascular Complications in Obese Type 2 Diabetic Patients.
Bulum T; Blaslov K; Duvnjak L
Acta Clin Croat; 2016 Jun; 55(2):217-23. PubMed ID: 28394108
[TBL] [Abstract][Full Text] [Related]
48. 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]
49. 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]
50. Body fat anthropometric indexes: Which of those identify better high cardiovascular risk subjects? A comparative study in Spanish population.
Corbatón Anchuelo A; Martínez-Larrad MT; Serrano-García I; Fernández Pérez C; Serrano-Ríos M
PLoS One; 2019; 14(5):e0216877. PubMed ID: 31120940
[TBL] [Abstract][Full Text] [Related]
51. A comparative evaluation of waist circumference, waist-to-hip ratio, waist-to-height ratio and body mass index as indicators of impaired glucose tolerance and as risk factors for type-2 diabetes mellitus.
Łopatyński J; Mardarowicz G; Szcześniak G
Ann Univ Mariae Curie Sklodowska Med; 2003; 58(1):413-9. PubMed ID: 15315025
[TBL] [Abstract][Full Text] [Related]
52. Abdominal obesity and the prevalence of diabetes and intermediate hyperglycaemia in Chinese adults.
He Y; Zhai F; Ma G; Feskens EJ; Zhang J; Fu P; Van't Veer P; Yang X
Public Health Nutr; 2009 Aug; 12(8):1078-84. PubMed ID: 18986591
[TBL] [Abstract][Full Text] [Related]
53. High prevalence of overweight, obesity, and hypertension with increased risk to cardiovascular disorders among adults in northwest Ethiopia: a cross sectional study.
Moges B; Amare B; Fantahun B; Kassu A
BMC Cardiovasc Disord; 2014 Nov; 14():155. PubMed ID: 25373922
[TBL] [Abstract][Full Text] [Related]
54. 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]
55. Anthropometric measures as predictors of cardiovascular disease risk factors in the urban population of Iran.
Gharakhanlou R; Farzad B; Agha-Alinejad H; Steffen LM; Bayati M
Arq Bras Cardiol; 2012 Feb; 98(2):126-35. PubMed ID: 22231916
[TBL] [Abstract][Full Text] [Related]
56. Optimal cut-off points of weight for height, waist circumference and waist-to-height ratio for defining overweight and obesity in Thai school-aged children.
Rerksuppaphol S; Rerksuppaphol L
J Res Health Sci; 2013 May; 13(1):13-8. PubMed ID: 23772011
[TBL] [Abstract][Full Text] [Related]
57. Waist-to-height ratio is more closely associated with alanine aminotransferase levels than body mass index and waist circumference among population-based children: a cross-sectional study in Japan.
Ochiai H; Shirasawa T; Nishimura R; Nanri H; Ohtsu T; Hoshino H; Tajima N; Kokaze A
BMC Pediatr; 2015 May; 15():59. PubMed ID: 25980380
[TBL] [Abstract][Full Text] [Related]
58. Optimal cut-off for obesity and markers of metabolic syndrome for Ethiopian adults.
Sinaga M; Worku M; Yemane T; Tegene E; Wakayo T; Girma T; Lindstrom D; Belachew T
Nutr J; 2018 Nov; 17(1):109. PubMed ID: 30466421
[TBL] [Abstract][Full Text] [Related]
59. Profiles of body mass index and the nutritional status among children and adolescents categorized by waist-to-height ratio cut-offs.
Zhang YX; Wang ZX; Chu ZH; Zhao JS
Int J Cardiol; 2016 Nov; 223():529-533. PubMed ID: 27552573
[TBL] [Abstract][Full Text] [Related]
60. Optimal anthropometric measures to predict incidence of coronary heart disease in adults in Turkey.
Can G; Onat A; Sayili U; Hayiroglu MI; Ademoglu E; Yurtseven E
Natl Med J India; 2019; 32(6):334-341. PubMed ID: 33380625
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
