268 related articles for article (PubMed ID: 21858688)
1. Optimal cut-off values of anthropometric markers to predict hypertension in North Indian population.
Gupta S; Kapoor S
J Community Health; 2012 Apr; 37(2):441-7. PubMed ID: 21858688
[TBL] [Abstract][Full Text] [Related]
2. Anthropometric indexes in the prediction of type 2 diabetes mellitus, hypertension and dyslipidaemia in a Mexican population.
Berber A; Gómez-Santos R; Fanghänel G; Sánchez-Reyes L
Int J Obes Relat Metab Disord; 2001 Dec; 25(12):1794-9. PubMed ID: 11781760
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Cut-off points for anthropometric indices to screen for hypertension among Iranian adults of the Bandare-Kong cohort: a cross-sectional study.
Azarbad A; Aghnia T; Gharibzadeh A; Rafati S; Hashemi SM; Zarei H; Kheirandish M
BMC Public Health; 2022 Nov; 22(1):2064. PubMed ID: 36369024
[TBL] [Abstract][Full Text] [Related]
5. [Association of obesity indexes with hypertension and dyslipidemia in Chinese adults].
Fan D; Su C; Du W; Wang H; Wang Z; Chen Y; Zhang B
Wei Sheng Yan Jiu; 2018 Nov; 47(6):875-882. PubMed ID: 30593325
[TBL] [Abstract][Full Text] [Related]
6. Prospective Study of Optimal Obesity Index Cut-Off Values for Predicting Incidence of Hypertension in 18-65-Year-Old Chinese Adults.
Ren Q; Su C; Wang H; Wang Z; Du W; Zhang B
PLoS One; 2016; 11(3):e0148140. PubMed ID: 26934390
[TBL] [Abstract][Full Text] [Related]
7. Optimal cut-off values for obesity: using simple anthropometric indices to predict cardiovascular risk factors in Taiwan.
Lin WY; Lee LT; Chen CY; Lo H; Hsia HH; Liu IL; Lin RS; Shau WY; Huang KC
Int J Obes Relat Metab Disord; 2002 Sep; 26(9):1232-8. PubMed ID: 12187401
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Waist-to-height ratio, an optimal predictor for obesity and metabolic syndrome in Chinese adults.
Shao J; Yu L; Shen X; Li D; Wang K
J Nutr Health Aging; 2010 Nov; 14(9):782-5. PubMed ID: 21085910
[TBL] [Abstract][Full Text] [Related]
10. Relationship of anthropometric indicators with blood pressure levels in rural Wardha.
Deshmukh PR; Gupta SS; Dongre AR; Bharambe MS; Maliye C; Kaur S; Garg BS
Indian J Med Res; 2006 May; 123(5):657-64. PubMed ID: 16873908
[TBL] [Abstract][Full Text] [Related]
11. Combining general and central measures of adiposity to identify risk of hypertension: a cross-sectional survey in rural India.
Ragavan RS; Ismail J; Evans RG; Srikanth VK; Kaye M; Joshi R; Thankappan KR; Chow CK; Riddell MA; Oldenburg B; Mahal A; Kalyanram K; Kartik K; Suresh O; Thomas N; Mini GK; Maulik PK; Arabshahi S; Thrift AG
Obes Res Clin Pract; 2023; 17(3):249-256. PubMed ID: 37142499
[TBL] [Abstract][Full Text] [Related]
12. [Differences between anthropometric indices in predicting dyslipidemia in Chinese urban adult population and finding optimal cut-off points].
Zhang J; Zhao A; Tan S; Zhao W; Wang Y; Li T; Szeto IM; Zhang Y
Wei Sheng Yan Jiu; 2018 Mar; 47(2):212-217. PubMed ID: 29903271
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Cut-off points of anthropometric markers associated with hypertension in the Brazilian population: National Health Survey, 2013.
Souza APA; Rodrigues PRM; Muraro AP; Moreira NF; Sichieri R; Pereira RA; Ferreira MG
Public Health Nutr; 2019 Aug; 22(12):2147-2154. PubMed ID: 30935428
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Anthropometric indices predicting incident hypertension in an Iranian population: The Isfahan cohort study.
Sadeghi M; Talaei M; Gharipour M; Oveisgharan S; Nezafati P; Dianatkhah M; Sarrafzadegan N
Anatol J Cardiol; 2019 Jun; 22(1):33-43. PubMed ID: 31264654
[TBL] [Abstract][Full Text] [Related]
17. Waist circumference and waist-to-height ratio as predictors of cardiovascular disease risk in Korean adults.
Park SH; Choi SJ; Lee KS; Park HY
Circ J; 2009 Sep; 73(9):1643-50. PubMed ID: 19638708
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Comparisons of body mass index, waist circumference, waist-to-height ratio and a body shape index (ABSI) in predicting high blood pressure among Malaysian adolescents: a cross-sectional study.
Tee JYH; Gan WY; Lim PY
BMJ Open; 2020 Jan; 10(1):e032874. PubMed ID: 31932391
[TBL] [Abstract][Full Text] [Related]
20. Waist circumference, waist-to-hip ratio and waist-to-height ratio reference percentiles for abdominal obesity among Greek adolescents.
Bacopoulou F; Efthymiou V; Landis G; Rentoumis A; Chrousos GP
BMC Pediatr; 2015 May; 15():50. PubMed ID: 25935716
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
