316 related articles for article (PubMed ID: 26939609)
1. Optimal waist circumference cut-off points and ability of different metabolic syndrome criteria for predicting diabetes in Japanese men and women: Japan Epidemiology Collaboration on Occupational Health Study.
Hu H; Kurotani K; Sasaki N; Murakami T; Shimizu C; Shimizu M; Nakagawa T; Honda T; Yamamoto S; Okazaki H; Nagahama S; Uehara A; Yamamoto M; Tomita K; Imai T; Nishihara A; Kochi T; Eguchi M; Miyamoto T; Hori A; Kuwahara K; Akter S; Kashino I; Kabe I; Liu W; Mizoue T; Kunugita N; Dohi S;
BMC Public Health; 2016 Mar; 16():220. PubMed ID: 26939609
[TBL] [Abstract][Full Text] [Related]
2. The Optimal Ethnic-Specific Waist-Circumference Cut-Off Points of Metabolic Syndrome among Low-Income Rural Uyghur Adults in Far Western China and Implications in Preventive Public Health.
He J; Ma R; Liu J; Zhang M; Ding Y; Guo H; Mu L; Zhang J; Wei B; Yan Y; Ma J; Pang H; Li S; Guo S
Int J Environ Res Public Health; 2017 Feb; 14(2):. PubMed ID: 28208723
[No Abstract] [Full Text] [Related]
3. Optimal waist circumference cut-off values for identifying metabolic risk factors in middle-aged and elderly subjects in Shandong Province of China.
Hou XG; Wang C; Ma ZQ; Yang WF; Wang JX; Li CQ; Wang YL; Liu SM; Hu XP; Zhang XP; Jiang M; Wang WQ; Ning G; Zheng HZ; Ma AX; Sun Y; Song J; Lin P; Liang K; Liu FQ; Li WJ; Xiao J; Gong L; Wang MJ; Liu JD; Yan F; Yang JP; Wang LS; Tian M; Zhao RX; Jiang L; Chen L
Biomed Environ Sci; 2014 May; 27(5):353-9. PubMed ID: 24827716
[TBL] [Abstract][Full Text] [Related]
4. Optimal cut-off points for waist circumference in the definition of metabolic syndrome in Brazilian adults: baseline analyses of the Longitudinal Study of Adult Health (ELSA-Brasil).
Cardinal TR; Vigo A; Duncan BB; Matos SMA; da Fonseca MJM; Barreto SM; Schmidt MI
Diabetol Metab Syndr; 2018; 10():49. PubMed ID: 29946366
[TBL] [Abstract][Full Text] [Related]
5. Appropriate cut-off values of waist circumference to predict cardiovascular outcomes: 7-year follow-up in an Iranian population.
Talaei M; Thomas GN; Marshall T; Sadeghi M; Iranipour R; Oveisgharan S; Sarrafzadegan N
Intern Med; 2012; 51(2):139-46. PubMed ID: 22246480
[TBL] [Abstract][Full Text] [Related]
6. The most appropriate cut-off point of anthropometric indices in predicting the incidence of metabolic syndrome and its components.
Farhangiyan Z; Latifi SM; Rashidi H; Shahbazian H
Diabetes Metab Syndr; 2019; 13(4):2739-2745. PubMed ID: 31405702
[TBL] [Abstract][Full Text] [Related]
7. Relationship between the optimal cut-off values of anthropometric indices for predicting metabolic syndrome and carotid intima-medial thickness in a Korean population.
Yang YJ; Park HJ; Won KB; Chang HJ; Park GM; Kim YG; Ann SH; Park EJ; Kim SJ; Lee SG
Medicine (Baltimore); 2019 Oct; 98(42):e17620. PubMed ID: 31626142
[TBL] [Abstract][Full Text] [Related]
8. Revised optimal cut-off point of waist circumference for the diagnosis of metabolic syndrome in Japanese women and the influence of height.
Shimajiri T; Imagawa M; Kokawa M; Konami T; Hara H; Kyoku I; Sone E; Ishigame M; Kikuoka H
J Atheroscler Thromb; 2008 Apr; 15(2):94-9. PubMed ID: 18385535
[TBL] [Abstract][Full Text] [Related]
9. Optimal cutoff values of waist circumference and the discriminatory performance of other anthropometric indices to detect the clustering of cardiovascular risk factors for metabolic syndrome in Japanese men and women.
Nakamura K; Nanri H; Hara M; Higaki Y; Imaizumi T; Taguchi N; Sakamoto T; Horita M; Shinchi K; Tanaka K
Environ Health Prev Med; 2011 Jan; 16(1):52-60. PubMed ID: 21432217
[TBL] [Abstract][Full Text] [Related]
10. Relationship between waist circumferences measured at the umbilical level and midway between the ribs and iliac crest - a solution to the debate on optimal waist circumference standards in the diagnostic criteria of metabolic syndrome in Japan.
Yokoyama H; Hirose H; Kanda T; Kawabe H; Saito I
J Atheroscler Thromb; 2011; 18(9):735-43. PubMed ID: 21670557
[TBL] [Abstract][Full Text] [Related]
11. Optimal cut points of waist circumference (WC) and visceral fat area (VFA) predicting for metabolic syndrome (MetS) in elderly population in the Korean Longitudinal Study on Health and Aging (KLoSHA).
Lim S; Kim JH; Yoon JW; Kang SM; Choi SH; Park YJ; Kim KW; Cho NH; Shin H; Park KS; Jang HC
Arch Gerontol Geriatr; 2012; 54(2):e29-34. PubMed ID: 21862146
[TBL] [Abstract][Full Text] [Related]
12. Effectiveness of different waist circumference cut-off values in predicting metabolic syndrome prevalence and risk factors in adults in China.
Zhou HC; Lai YX; Shan ZY; Jia WP; Yang WY; Lu JM; Weng JP; Ji LN; Liu J; Tian HM; Ji QH; Zhu DL; Chen L; Guo XH; Zhao ZG; Li Q; Zhou ZG; Ge JP; Shan GL
Biomed Environ Sci; 2014 May; 27(5):325-34. PubMed ID: 24827713
[TBL] [Abstract][Full Text] [Related]
13. Optimal cut-off levels of body mass index and waist circumference in relation to each component of metabolic syndrome (MetS) and the number of MetS component.
Kawada T; Otsuka T; Inagaki H; Wakayama Y; Li Q; Li YJ; Katsumata M
Diabetes Metab Syndr; 2011; 5(1):25-8. PubMed ID: 22814837
[TBL] [Abstract][Full Text] [Related]
14. The Prevalence of Metabolic Syndrome Using Three Different Diagnostic Criteria among Low Earning Nomadic Kazakhs in the Far Northwest of China: New Cut-Off Points of Waist Circumference to Diagnose MetS and Its Implications.
Guo H; Liu J; Zhang J; Ma R; Ding Y; Zhang M; He J; Xu S; Li S; Yan Y; Mu L; Rui D; Niu Q; Guo S
PLoS One; 2016; 11(2):e0148976. PubMed ID: 26901035
[TBL] [Abstract][Full Text] [Related]
15. Predicting metabolic syndrome by anthropometric measures among adults 35-65 years in the west of Iran; a cross sectional study from an Iranian RaNCD cohort data.
Hamzeh B; Bagheri A; Pasdar Y; Darbandi M; Rezaeian S; Najafi F; Moradinazar M
Diabetes Metab Syndr; 2020; 14(5):1293-1298. PubMed ID: 32755824
[TBL] [Abstract][Full Text] [Related]
16. Optimal cut-off points for waist circumference in the definition of metabolic syndrome in Chile.
Petermann-Rocha F; Martínez-Sanguinetti MA; Ho FK; Celis-Morales C; Pizarro A;
Public Health Nutr; 2020 Nov; 23(16):2898-2903. PubMed ID: 32618236
[TBL] [Abstract][Full Text] [Related]
17. Proposed cut-off values of the waist circumference for metabolic syndrome based on visceral fat volume in a Japanese population.
Tsukiyama H; Nagai Y; Matsubara F; Shimizu H; Iwamoto T; Yamanouchi E; Sada Y; Kato H; Ohta A; Tanaka Y
J Diabetes Investig; 2016 Jul; 7(4):587-93. PubMed ID: 27181599
[TBL] [Abstract][Full Text] [Related]
18. Anthropometric cut-points for discriminating diabetes and the metabolic syndrome among Arabs and Asians: the Kuwait Diabetes Epidemiology Program.
Oguoma VM; Coffee NT; Alsharrah S; Abu-Farha M; Al-Refaei FH; Alkandari A; Al-Mulla F; Daniel M
Br J Nutr; 2022 Jan; 127(1):92-102. PubMed ID: 33658089
[TBL] [Abstract][Full Text] [Related]
19. The cutoff values of visceral fat area and waist circumference for identifying subjects at risk for metabolic syndrome in elderly Korean: Ansan Geriatric (AGE) cohort study.
Seo JA; Kim BG; Cho H; Kim HS; Park J; Baik SH; Choi DS; Park MH; Jo SA; Koh YH; Han C; Kim NH
BMC Public Health; 2009 Dec; 9():443. PubMed ID: 19951442
[TBL] [Abstract][Full Text] [Related]
20. Effective cut-off values of waist circumference to detect the clustering of cardiovascular risk factors of metabolic syndrome in Japanese men and women.
Lee JS; Kawakubo K; Mori K; Akabayashi A
Diab Vasc Dis Res; 2007 Dec; 4(4):340-5. PubMed ID: 18158705
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
