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Journal Abstract Search

190 related items for PubMed ID: 18031862

  • 1. Reassessment of the cutoff values of waist circumference and visceral fat area for identifying Japanese subjects at risk for the metabolic syndrome.
    Oka R, Kobayashi J, Yagi K, Tanii H, Miyamoto S, Asano A, Hagishita T, Mori M, Moriuchi T, Kobayashi M, Katsuda S, Kawashiri MA, Nohara A, Takeda Y, Mabuchi H, Yamagishi M.
    Diabetes Res Clin Pract; 2008 Mar; 79(3):474-81. PubMed ID: 18031862
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  • 3. Gender differences in diagnostic values of visceral fat area and waist circumference for predicting metabolic syndrome in Koreans.
    Kim HI, Kim JT, Yu SH, Kwak SH, Jang HC, Park KS, Kim SY, Lee HK, Cho YM.
    J Korean Med Sci; 2011 Jul; 26(7):906-13. PubMed ID: 21738344
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  • 4. Cutoffs of different body measurement indexes of central obesity in patients with type 2 diabetes.
    Luo A, Tang Z, Xu X, Li C, Zhou D, Xiao D, Lu Y, Liang R, Guan G, Li W, Hu Z.
    Sci Rep; 2024 Jan 25; 14(1):2154. PubMed ID: 38273013
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  • 5. Evaluation of metabolic syndrome risk in Korean premenopausal women: not waist circumference but visceral fat.
    Hyun YJ, Kim OY, Jang Y, Ha JW, Chae JS, Kim JY, Yeo HY, Paik JK, Lee JH.
    Circ J; 2008 Aug 25; 72(8):1308-15. PubMed ID: 18654019
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  • 6. The six obesity indices, which one is more compatible with metabolic syndrome? A population based study.
    Motamed N, Sohrabi M, Poustchi H, Maadi M, Malek M, Keyvani H, Amoli MS, Zamani F.
    Diabetes Metab Syndr; 2017 Aug 25; 11(3):173-177. PubMed ID: 27658893
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  • 7. 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 25; 16(1):52-60. PubMed ID: 21432217
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  • 10. Estimation of visceral fat area using criteria for metabolic syndrome: A cross-sectional study.
    Katahira M, Moriura S, Ono S.
    Diabetes Metab Syndr; 2022 Aug 25; 16(8):102584. PubMed ID: 35933939
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  • 12. Anthropometric parameter that best predict metabolic syndrome in South west Nigeria.
    Adejumo EN, Adejumo AO, Azenabor A, Ekun AO, Enitan SS, Adebola OK, Ogundahunsi OA.
    Diabetes Metab Syndr; 2019 Aug 25; 13(1):48-54. PubMed ID: 30641748
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  • 13. 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 25; 40(6):653-661. PubMed ID: 28233232
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  • 15. Optimal waist circumference cutoffs for abdominal obesity in Chinese.
    Bao Y, Lu J, Wang C, Yang M, Li H, Zhang X, Zhu J, Lu H, Jia W, Xiang K.
    Atherosclerosis; 2008 Dec 25; 201(2):378-84. PubMed ID: 18417137
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  • 17. Cut-Off Values for Visceral Fat Area Identifying Korean Adults at Risk for Metabolic Syndrome.
    Lee A, Kim YJ, Oh SW, Lee CM, Choi HC, Joh HK, Oh B, Hwang SS, Kim SJ, Kwon OD.
    Korean J Fam Med; 2018 Jul 25; 39(4):239-246. PubMed ID: 29972898
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  • 19. 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 Jul 25; 14(5):1293-1298. PubMed ID: 32755824
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