125 related articles for article (PubMed ID: 38418401)
41. Cohort study to determine the waist circumference cutoffs for predicting type 2 diabetes mellitus in rural China.
Ren Y; Liu Y; Sun X; Wang B; Zhao Y; Luo X; Wang C; Li L; Zhang L; Zhou J; Han C; Liu X; Zhang D; Zhao J; Zhang M; Hu D
Diabetes Metab Res Rev; 2018 Sep; 34(6):e3007. PubMed ID: 29633484
[TBL] [Abstract][Full Text] [Related]
42. Added value of waist circumference to body mass index for predicting fracture risk in obesity: a prospective study from the CARTaGENE cohort.
Turcotte AF; Jean S; Morin SN; Mac-Way F; Gagnon C
Arch Osteoporos; 2023 Jul; 18(1):92. PubMed ID: 37420039
[TBL] [Abstract][Full Text] [Related]
43. Anthropometric indices and their cut-off points in relation to type 2 diabetes among Ghanaian migrants and non-migrants: The RODAM study.
Darko SN; Meeks KAC; Owiredu WKBA; Laing EF; Boateng D; Beune E; Addo J; de-Graft Aikins A; Bahendeka S; Mockenhaupt F; Spranger J; Agyei-Baffour P; Klipstein-Grobusch K; Smeeth L; Agyemang C; Owusu-Dabo E
Diabetes Res Clin Pract; 2021 Mar; 173():108687. PubMed ID: 33571601
[TBL] [Abstract][Full Text] [Related]
44. Using different anthropometric indices to assess prediction ability of type 2 diabetes in elderly population: a 5 year prospective study.
Yang J; Wang F; Wang J; Han X; Hu H; Yu C; Yuan J; Yao P; Miao X; Wei S; Wang Y; Chen W; Liang Y; Guo H; Zhang X; Zheng D; Tang Y; Yang H; He M
BMC Geriatr; 2018 Sep; 18(1):218. PubMed ID: 30223783
[TBL] [Abstract][Full Text] [Related]
45. [A four-year prospective study of the relationship between body mass index and waist circumstances and hypertension in Chinese adults].
Li Y; Zhai F; Wang H; Wang Z
Wei Sheng Yan Jiu; 2007 Jul; 36(4):478-80. PubMed ID: 17953218
[TBL] [Abstract][Full Text] [Related]
46. Interaction analysis of gene variants of TCF7L2 and body mass index and waist circumference on type 2 diabetes.
Li L; Wang J; Ping Z; Li Y; Wang C; Shi Y; Zhou W; Zhang L
Clin Nutr; 2020 Jan; 39(1):192-197. PubMed ID: 30718095
[TBL] [Abstract][Full Text] [Related]
47. Anthropometric markers and their association with incident type 2 diabetes mellitus: which marker is best for prediction? Pooled analysis of four German population-based cohort studies and comparison with a nationwide cohort study.
Hartwig S; Kluttig A; Tiller D; Fricke J; Müller G; Schipf S; Völzke H; Schunk M; Meisinger C; Schienkiewitz A; Heidemann C; Moebus S; Pechlivanis S; Werdan K; Kuss O; Tamayo T; Haerting J; Greiser KH
BMJ Open; 2016 Jan; 6(1):e009266. PubMed ID: 26792214
[TBL] [Abstract][Full Text] [Related]
48. Association Between Obesity and Microvascular Diseases in Patients With Type 2 Diabetes Mellitus.
Gao S; Zhang H; Long C; Xing Z
Front Endocrinol (Lausanne); 2021; 12():719515. PubMed ID: 34764938
[TBL] [Abstract][Full Text] [Related]
49. [The cut-off points of body mass index and waist circumference for predicting metabolic risk factors in Chinese adults].
Gao M; Wei YX; Lyu J; Yu CQ; Guo Y; Bian Z; Pei P; Du HD; Chen JS; Chen ZM; Huang T; Li LM;
Zhonghua Liu Xing Bing Xue Za Zhi; 2019 Dec; 40(12):1533-1540. PubMed ID: 32062911
[No Abstract] [Full Text] [Related]
50. Trajectories of waist circumference during young adulthood and incident hypertension: the China Health and Nutrition Survey.
Cheng C; Li Y; Ma W; Jia C
J Hum Hypertens; 2022 Aug; 36(8):767-774. PubMed ID: 34145396
[TBL] [Abstract][Full Text] [Related]
51. [Impact of dynamic change of waist circumference or body mass index in hypertension incidence].
Luo WS; Guo ZR; Hu XS; Zhou ZY; Wu M; Zhang LJ; Liu JC
Zhonghua Yu Fang Yi Xue Za Zhi; 2011 Nov; 45(11):1012-6. PubMed ID: 22336278
[TBL] [Abstract][Full Text] [Related]
52. Associations between anthropometric parameters (body mass index, waist circumference and waist to hip ratio) and newly diagnosed hyperuricemia in adults in Qingdao, China: A cross-sectional study.
Wang YY; Li L; Cui J; Yin F; Yang F; Yuan DM; Xin HL; Zhang L; Gao WG; Sun JP
Asia Pac J Clin Nutr; 2020; 29(4):763-770. PubMed ID: 33377370
[TBL] [Abstract][Full Text] [Related]
53. Transition of Lipid Accumulation Product Status and the Risk of Type 2 Diabetes Mellitus in Middle-Aged and Older Chinese: A National Cohort Study.
Yu J; Yi Q; Hou L; Chen G; Shen Y; Song Y; Zhu Y; Song P
Front Endocrinol (Lausanne); 2021; 12():770200. PubMed ID: 34899605
[TBL] [Abstract][Full Text] [Related]
54. Assessing prediction of diabetes in older adults using different adiposity measures: a 7 year prospective study in 6,923 older men and women.
Wannamethee SG; Papacosta O; Whincup PH; Carson C; Thomas MC; Lawlor DA; Ebrahim S; Sattar N
Diabetologia; 2010 May; 53(5):890-8. PubMed ID: 20146052
[TBL] [Abstract][Full Text] [Related]
55. [Association between obesity and the prevalence of type 2 diabetes mellitus among Chinese adults aged 18-65 years in 15 provinces in 2018].
Zhang ST; Zhang JG; Jia XF; Jiang HR; Wang LS; Zhang B; Wang HJ; Wang ZH; Ding GG
Zhonghua Liu Xing Bing Xue Za Zhi; 2022 Oct; 43(10):1596-1602. PubMed ID: 36456491
[No Abstract] [Full Text] [Related]
56. Transition of Hypertriglyceridemic-Waist Phenotypes and the Risk of Type 2 Diabetes Mellitus among Middle-Aged and Older Chinese: A National Cohort Study.
Chen G; Yi Q; Hou L; Peng S; Fan M; Song P; Zhu Y
Int J Environ Res Public Health; 2021 Apr; 18(7):. PubMed ID: 33915915
[TBL] [Abstract][Full Text] [Related]
57. Do obesity and low levels of physical activity increase the risk for developing type 2 diabetes mellitus among women with prior gestational diabetes in rural China?
Mao P; Jiang S; Guo J; Long Q; Zhang H; Chen JL
Res Nurs Health; 2020 Aug; 43(4):387-395. PubMed ID: 32515856
[TBL] [Abstract][Full Text] [Related]
58. Data mining approaches for type 2 diabetes mellitus prediction using anthropometric measurements.
Saberi-Karimian M; Mansoori A; Bajgiran MM; Hosseini ZS; Kiyoumarsioskouei A; Rad ES; Zo MM; Khorasani NY; Poudineh M; Ghazizadeh S; Ferns G; Esmaily H; Ghayour-Mobarhan M
J Clin Lab Anal; 2023 Jan; 37(1):e24798. PubMed ID: 36510349
[TBL] [Abstract][Full Text] [Related]
59. Strong Association of Waist Circumference (WC), Body Mass Index (BMI), Waist-to-Height Ratio (WHtR), and Waist-to-Hip Ratio (WHR) with Diabetes: A Population-Based Cross-Sectional Study in Jilin Province, China.
Zhang FL; Ren JX; Zhang P; Jin H; Qu Y; Yu Y; Guo ZN; Yang Y
J Diabetes Res; 2021; 2021():8812431. PubMed ID: 34056007
[TBL] [Abstract][Full Text] [Related]
60. Anthropometric Measures and Incident Diabetic Nephropathy in Participants With Type 2 Diabetes Mellitus.
Hukportie DN; Li FR; Zhou R; Zheng JZ; Wu XX; Wu XB
Front Endocrinol (Lausanne); 2021; 12():706845. PubMed ID: 34421824
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
