157 related articles for article (PubMed ID: 35088498)
21. Comparison of Three Adiposity Indexes and Cutoff Values to Predict Metabolic Syndrome Among University Students.
Correa-Bautista JE; González-Ruíz K; Vivas A; Triana-Reina HR; Martínez-Torres J; Prieto-Benavides DH; Carrillo HA; Ramos-Sepúlveda JA; Afanador-Rodríguez MI; Villa-González E; García-Hermoso A; Ramírez-Vélez R
Metab Syndr Relat Disord; 2017 Sep; 15(7):363-370. PubMed ID: 28570830
[TBL] [Abstract][Full Text] [Related]
22. The prevalence of metabolic syndrome and determination of the optimal waist circumference cutoff points in a rural South african community.
Motala AA; Esterhuizen T; Pirie FJ; Omar MA
Diabetes Care; 2011 Apr; 34(4):1032-7. PubMed ID: 21330644
[TBL] [Abstract][Full Text] [Related]
23. Identification of an obesity index for predicting metabolic syndrome by gender: the rural Chinese cohort study.
Liu L; Liu Y; Sun X; Yin Z; Li H; Deng K; Chen X; Cheng C; Luo X; Zhang M; Li L; Zhang L; Wang B; Ren Y; Zhao Y; Liu D; Zhou J; Han C; Liu X; Zhang D; Liu F; Wang C; Hu D
BMC Endocr Disord; 2018 Aug; 18(1):54. PubMed ID: 30081888
[TBL] [Abstract][Full Text] [Related]
24. Fat redistribution and accumulation of visceral adipose tissue predicts type 2 diabetes risk in middle-aged black South African women: a 13-year longitudinal study.
Mtintsilana A; Micklesfield LK; Chorell E; Olsson T; Goedecke JH
Nutr Diabetes; 2019 Mar; 9(1):12. PubMed ID: 30918247
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. Change in fasting plasma glucose and incident type 2 diabetes mellitus: results from a prospective cohort study.
Mozaffary A; Asgari S; Tohidi M; Kazempour-Ardebili S; Azizi F; Hadaegh F
BMJ Open; 2016 May; 6(5):e010889. PubMed ID: 27217283
[TBL] [Abstract][Full Text] [Related]
27. 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]
28. BMI is strongly associated with hypertension, and waist circumference is strongly associated with type 2 diabetes and dyslipidemia, in northern Chinese adults.
Feng RN; Zhao C; Wang C; Niu YC; Li K; Guo FC; Li ST; Sun CH; Li Y
J Epidemiol; 2012; 22(4):317-23. PubMed ID: 22672914
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. Targeted proteomics identifies potential biomarkers of dysglycaemia, beta cell function and insulin sensitivity in Black African men and women.
Mendham AE; Micklesfield LK; Karpe F; Kengne AP; Chikowore T; Kufe CN; Masemola M; Crowther NJ; Norris SA; Olsson T; Elmståhl S; Fall T; Lind L; Goedecke JH
Diabetologia; 2023 Jan; 66(1):174-189. PubMed ID: 36114877
[TBL] [Abstract][Full Text] [Related]
31. The atypical presentation of the metabolic syndrome components in black African women: the relationship with insulin resistance and the influence of regional adipose tissue distribution.
Jennings CL; Lambert EV; Collins M; Levitt NS; Goedecke JH
Metabolism; 2009 Feb; 58(2):149-57. PubMed ID: 19154946
[TBL] [Abstract][Full Text] [Related]
32. Metabolic syndrome and its components as predictors of incident type 2 diabetes mellitus in an Aboriginal community.
Ley SH; Harris SB; Mamakeesick M; Noon T; Fiddler E; Gittelsohn J; Wolever TM; Connelly PW; Hegele RA; Zinman B; Hanley AJ
CMAJ; 2009 Mar; 180(6):617-24. PubMed ID: 19289805
[TBL] [Abstract][Full Text] [Related]
33. Optimal maternal neck and waist circumference cutoff values for prediction of gestational diabetes mellitus at the first trimester in Turkish population; a prospective cohort study.
Hancerliogullari N; Kansu-Celik H; Asli Oskovi-Kaplan Z; Kisa B; Engin-Ustun Y; Ozgu-Erdinc AS
Gynecol Endocrinol; 2020 Nov; 36(11):1002-1005. PubMed ID: 32274939
[No Abstract] [Full Text] [Related]
34. The lipid accumulation product is a powerful tool to predict metabolic syndrome in undiagnosed Brazilian adults.
Nascimento-Ferreira MV; Rendo-Urteaga T; Vilanova-Campelo RC; Carvalho HB; da Paz Oliveira G; Paes Landim MB; Torres-Leal FL
Clin Nutr; 2017 Dec; 36(6):1693-1700. PubMed ID: 28081980
[TBL] [Abstract][Full Text] [Related]
35. Predictive ability of childhood metabolic components for adult metabolic syndrome and type 2 diabetes.
Schubert CM; Sun SS; Burns TL; Morrison JA; Huang TT
J Pediatr; 2009 Sep; 155(3):S6.e1-7. PubMed ID: 19732565
[TBL] [Abstract][Full Text] [Related]
36. Relationship between waist circumference, visceral fat and metabolic syndrome in a Congolese community: further research is still to be undertaken.
Katchunga PB; Hermans M; Bamuleke BA; Katoto PC; Kabinda JM
Pan Afr Med J; 2013; 14():20. PubMed ID: 23503103
[TBL] [Abstract][Full Text] [Related]
37. The discriminative ability of waist circumference, body mass index and waist-to-hip ratio in identifying metabolic syndrome: Variations by age, sex and race.
Cheong KC; Ghazali SM; Hock LK; Subenthiran S; Huey TC; Kuay LK; Mustapha FI; Yusoff AF; Mustafa AN
Diabetes Metab Syndr; 2015; 9(2):74-8. PubMed ID: 25819369
[TBL] [Abstract][Full Text] [Related]
38. Receiver-operating characteristics of adiposity for metabolic syndrome: the Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) study.
Beydoun MA; Kuczmarski MT; Wang Y; Mason MA; Evans MK; Zonderman AB
Public Health Nutr; 2011 Jan; 14(1):77-92. PubMed ID: 20854721
[TBL] [Abstract][Full Text] [Related]
39. Waist circumference cut-off points for identification of abdominal obesity among the tunisian adult population.
Bouguerra R; Alberti H; Smida H; Salem LB; Rayana CB; El Atti J; Achour A; Gaigi S; Slama CB; Zouari B; Alberti KG
Diabetes Obes Metab; 2007 Nov; 9(6):859-68. PubMed ID: 17924868
[TBL] [Abstract][Full Text] [Related]
40. Value of simple clinical parameters to predict insulin resistance among newly diagnosed patients with type 2 diabetes in limited resource settings.
Wasana KGP; Attanayake AP; Weerarathna TP; Jayatilaka KAPW
PLoS One; 2021; 16(3):e0248469. PubMed ID: 33788827
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]