180 related articles for article (PubMed ID: 30935428)
1. 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]
2. 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]
3. Optimal cut-off values of BMI, waist circumference and waist:height ratio for defining obesity in Chinese adults.
Zeng Q; He Y; Dong S; Zhao X; Chen Z; Song Z; Chang G; Yang F; Wang Y
Br J Nutr; 2014 Nov; 112(10):1735-44. PubMed ID: 25300318
[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. Waist circumference, body mass index and waist-height ratio: Are two indices better than one for identifying hypertension risk in older adults?
Luz RH; Barbosa AR; d'Orsi E
Prev Med; 2016 Dec; 93():76-81. PubMed ID: 27663432
[TBL] [Abstract][Full Text] [Related]
6. Predicting cardiometabolic disturbances from waist-to-height ratio: findings from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) baseline.
Castanheira M; Chor D; Braga JU; Cardoso LO; Griep RH; Molina MDCB; da Fonseca MJM
Public Health Nutr; 2018 Apr; 21(6):1028-1035. PubMed ID: 29310740
[TBL] [Abstract][Full Text] [Related]
7. [Cut-off points of anthropometric markers for hypertension and hyperglycemia in Argentine adults: a cross-sectional study from the 4th ENFR].
Farinola MG; Sganga M
Rev Fac Cien Med Univ Nac Cordoba; 2022 Sep; 79(3):260-266. PubMed ID: 36149065
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Predictive capacity of obesity indices for high blood pressure among southern Ethiopian adult population: a WHO STEPS survey.
Gutema BT; Chuka A; Ayele G; Megersa ND; Bekele M; Baharu A; Gurara MK
BMC Cardiovasc Disord; 2020 Sep; 20(1):421. PubMed ID: 32957951
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. [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]
12. Is waist-to-height ratio a better predictor of hypertension and type 2 diabetes than body mass index and waist circumference in the Chilean population?
Petermann-Rocha F; Ulloa N; Martínez-Sanguinetti MA; Leiva AM; Martorell M; Villagrán M; Troncoso-Pantoja C; Ho FK; Celis-Morales C; Pizarro A;
Nutrition; 2020; 79-80():110932. PubMed ID: 32847773
[TBL] [Abstract][Full Text] [Related]
13. References of anthropometric indices of central obesity and metabolic syndrome in Jordanian men and women.
Al-Odat AZ; Ahmad MN; Haddad FH
Diabetes Metab Syndr; 2012; 6(1):15-21. PubMed ID: 23014249
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Performance of anthropometric indicators as predictors of metabolic syndrome in Brazilian adolescents.
Oliveira RG; Guedes DP
BMC Pediatr; 2018 Feb; 18(1):33. PubMed ID: 29415673
[TBL] [Abstract][Full Text] [Related]
16. Waist-to-height ratio is a better discriminator of cardiovascular disease than other anthropometric indicators in Kurdish adults.
Pasdar Y; Moradi S; Moludi J; Saiedi S; Moradinazar M; Hamzeh B; Jafarabadi MA; Najafi F
Sci Rep; 2020 Oct; 10(1):16228. PubMed ID: 33004896
[TBL] [Abstract][Full Text] [Related]
17. Waist circumference, waist-to-height ratio and overweight cut-off points: a cross-sectional study with elderly people in seven Brazilian cities, 2008-2009.
Assumpção D; Ferraz RO; Borim FSA; Neri AL; Francisco PMSB
Epidemiol Serv Saude; 2020; 29(4):e2019502. PubMed ID: 32696815
[TBL] [Abstract][Full Text] [Related]
18. Waist-to-height ratio is the best anthropometric predictor of hypertension: A population-based study with women from a state of northeast of Brazil.
Caminha TC; Ferreira HS; Costa NS; Nakano RP; Carvalho RE; Xavier AF; Assunção ML
Medicine (Baltimore); 2017 Jan; 96(2):e5874. PubMed ID: 28079826
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Which anthropometric measures best indicate type 2 diabetes among Russian, Somali and Kurdish origin migrants in Finland? A cross-sectional study.
Skogberg N; Laatikainen T; Lundqvist A; Lilja E; Härkänen T; Koponen P
BMJ Open; 2018 May; 8(5):e019166. PubMed ID: 29773697
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
