167 related articles for article (PubMed ID: 31016530)
1. Optimal Cut-off Point of Waist to Height Ratio in Beijing and Its Association with Clusters of Metabolic Risk Factors.
Dong J; Wang SS; Chu X; Zhao J; Liang YZ; Yang YB; Yan YX
Curr Med Sci; 2019 Apr; 39(2):330-336. PubMed ID: 31016530
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Establishing international optimal cut-offs of waist-to-height ratio for predicting cardiometabolic risk in children and adolescents aged 6-18 years.
Zong X; Kelishadi R; Hong YM; Schwandt P; Matsha TE; Mill JG; Whincup PH; Pacifico L; López-Bermejo A; Caserta CA; Medeiros CCM; Kollias A; Qorbani M; Jazi FS; Haas GM; de Oliveira Alvim R; Zaniqueli D; Chiesa C; Bassols J; Romeo EL; de Carvalho DF; da Silva Simões MO; Stergiou GS; Grammatikos E; Zhao M; Magnussen CG; Xi B
BMC Med; 2023 Nov; 21(1):442. PubMed ID: 37968681
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Comparison of the ability to identify cardiometabolic risk factors between two new body indices and waist-to-height ratio among Chinese adults with normal BMI and waist circumference.
Liu PJ; Ma F; Lou HP; Zhu YN
Public Health Nutr; 2017 Apr; 20(6):984-991. PubMed ID: 27989263
[TBL] [Abstract][Full Text] [Related]
7. Usefulness of waist-to-height ratio in screening incident metabolic syndrome among Japanese community-dwelling elderly individuals.
Kawamoto R; Kikuchi A; Akase T; Ninomiya D; Kumagi T
PLoS One; 2019; 14(4):e0216069. PubMed ID: 31034487
[TBL] [Abstract][Full Text] [Related]
8. Association between waist-to-height ratio and metabolic risk factors in Korean adults with normal body mass index and waist circumference.
Park YS; Kim JS
Tohoku J Exp Med; 2012 Sep; 228(1):1-8. PubMed ID: 22864013
[TBL] [Abstract][Full Text] [Related]
9. Waist-to-height ratio is better than body mass index and waist circumference as a screening criterion for metabolic syndrome in Han Chinese adults.
Yang H; Xin Z; Feng JP; Yang JK
Medicine (Baltimore); 2017 Sep; 96(39):e8192. PubMed ID: 28953680
[TBL] [Abstract][Full Text] [Related]
10. Association between the abdominal obesity anthropometric indicators and metabolic disorders in a Chinese population.
Dong J; Ni YQ; Chu X; Liu YQ; Liu GX; Zhao J; Yang YB; Yan YX
Public Health; 2016 Feb; 131():3-10. PubMed ID: 26576475
[TBL] [Abstract][Full Text] [Related]
11. [The optimal cutoff value of waist-to-height ratio in Chinese: based on cardiovascular risk and metabolic disease].
Jia AH; Xu SY; Ming J; Zhou J; Zhang WC; Hao PR; Ji QH
Zhonghua Nei Ke Za Zhi; 2017 Nov; 56(11):822-826. PubMed ID: 29136711
[No Abstract] [Full Text] [Related]
12. Relation between metabolic syndrome and body compositions among Chinese adolescents and adults from a large-scale population survey.
Xu T; Liu J; Liu J; Zhu G; Han S
BMC Public Health; 2017 Apr; 17(1):337. PubMed ID: 28427375
[TBL] [Abstract][Full Text] [Related]
13. Evaluation of anthropometric parameters of central obesity in Pakistani children aged 5-12 years, using receiver operating characteristic (ROC) analysis.
Asif M; Aslam M; Altaf S
J Pediatr Endocrinol Metab; 2018 Sep; 31(9):971-977. PubMed ID: 30183666
[TBL] [Abstract][Full Text] [Related]
14. Comparison of visceral, general and central obesity indices in the prediction of metabolic syndrome in maintenance hemodialysis patients.
Zhou C; Zhan L; Yuan J; Tong X; Peng Y; Zha Y
Eat Weight Disord; 2020 Jun; 25(3):727-734. PubMed ID: 30968371
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Sensitivity of various body indices and visceral adiposity index in predicting metabolic syndrome among Chinese patients with adult growth hormone deficiency.
Qing L; Wei R; Chan L; Xiaoya Z; Xin X
J Endocrinol Invest; 2017 Jun; 40(6):653-661. PubMed ID: 28233232
[TBL] [Abstract][Full Text] [Related]
17. Anthropometric indices of central obesity how discriminators of metabolic syndrome in Brazilian women with polycystic ovary syndrome.
Costa EC; Sá JC; Soares EM; Lemos TM; Maranhão TM; Azevedo GD
Gynecol Endocrinol; 2012 Jan; 28(1):12-5. PubMed ID: 21958393
[TBL] [Abstract][Full Text] [Related]
18. [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]
19. Evaluation of anthropometric indices for metabolic syndrome in Chinese adults aged 40 years and over.
He YH; Chen YC; Jiang GX; Huang HE; Li R; Li XY; Ning G; Cheng Q
Eur J Nutr; 2012 Feb; 51(1):81-7. PubMed ID: 21479941
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]