Literature DB >> 30641781

High waist-to-hip ratio levels are associated with insulin resistance markers in normal-weight women.

Vicente A Benites-Zapata1, Carlos J Toro-Huamanchumo2, Diego Urrunaga-Pastor3, Mirella Guarnizo-Poma4, Herbert Lazaro-Alcantara5, Socorro Paico-Palacios6, Betzi Pantoja-Torres7, Vitalia Del Carmen Ranilla-Seguin8.   

Abstract

AIM: To assess the association between high waist-to-hip ratio (WHR) levels and insulin resistance (IR) or hyperinsulinemia after oral glucose tolerance test (OGTT) in a sample of normal-weight women.
METHODS: We conducted an analytical cross-sectional study in euthyroid non-diabetic women, who attended the outpatient service of a private clinic in Lima-Peru from 2012 to 2016. Participants were divided in two groups according to the presence or absence of high WHR levels, IR or hyperinsulinemia after OGTT. We considered WHR values > 0.85 as high levels. IR was defined as a Homeostasis Model Assessment (HOMA-IR) value > 2.39 and hyperinsulinemia after OGTT as a serum insulin value ≥ 80μU/mL after 120 min of 75-g glucose intake. We elaborated crude and adjusted Poisson generalized linear models to evaluate the association between high WHR levels and IR or hyperinsulinemia after OGTT and reported the prevalence ratio (PR) with their respective 95% confidence intervals (95%CI).
RESULTS: We analyzed the data of 248 euthyroid, non-diabetic and normal-weight women. The prevalence of high WHR levels was 68.9% (n = 171) while the prevalence of IR and hyperinsulinemia after OGTT was 25% (n = 62) and 15.3% (n = 38), respectively. WHR values were positively correlated with HOMA-IR (r = 0.307; p < 0.001) and serum insulin after OGTT (r = 0.260; p < 0.001). In the adjusted model, high WHR levels were associated with both IR (aPR = 2.63; 95%CI: 1.39-5.01) and hyperinsulinemia after OGTT (aPR = 2.35; 95%CI: 1.03-5.38).
CONCLUSION: High WHR levels were associated with both IR markers used in our study, appearing to be a useful anthropometric indicator to assess IR in euthyroid normal-weight women without type 2 diabetes mellitus.
Copyright © 2018 Diabetes India. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Diabetes mellitus; Glucose; Glucose tolerance test; Insulin resistance; Waist-hip ratio

Mesh:

Year:  2018        PMID: 30641781     DOI: 10.1016/j.dsx.2018.11.043

Source DB:  PubMed          Journal:  Diabetes Metab Syndr        ISSN: 1871-4021


  10 in total

1.  Coffee consumption effects on bioelectrical impedance parameters: does gender matter?

Authors:  Anna Vittoria Mattioli
Journal:  Eur J Clin Nutr       Date:  2022-04-06       Impact factor: 4.016

2.  Metabolomic Analysis of Serum and Tear Samples from Patients with Obesity and Type 2 Diabetes Mellitus.

Authors:  Erdenetsetseg Nokhoijav; Andrea Guba; Ajneesh Kumar; Balázs Kunkli; Gergő Kalló; Miklós Káplár; Sándor Somodi; Ildikó Garai; Adrienne Csutak; Noémi Tóth; Miklós Emri; József Tőzsér; Éva Csősz
Journal:  Int J Mol Sci       Date:  2022-04-20       Impact factor: 6.208

3.  Effects of 6 Months of Dapagliflozin Treatment on Metabolic Profile and Endothelial Cell Dysfunction for Obese Type 2 Diabetes Mellitus Patients without Atherosclerotic Cardiovascular Disease.

Authors:  Ju-Young Hong; Keun-Young Park; Jong-Dai Kim; Won-Min Hwang; Dong-Mee Lim
Journal:  J Obes Metab Syndr       Date:  2020-09-30

4.  Altered Visceral Adipose Tissue Predictors and Women's Health: A Unicenter Study.

Authors:  Vanessa Carvalho Moreira; Calliandra Maria de Souza Silva; Izabel Cristina Rodrigues da Silva
Journal:  Int J Environ Res Public Health       Date:  2022-05-01       Impact factor: 4.614

5.  Thyroid hormone levels are associated with metabolic components: a cross-sectional study.

Authors:  Ante Punda; Veselin Škrabić; Vesela Torlak; Ivana Gunjača; Vesna Boraska Perica; Ivana Kolčić; Ozren Polašek; Caroline Hayward; Tatijana Zemunik; Antonela Matana
Journal:  Croat Med J       Date:  2020-07-05       Impact factor: 1.351

6.  Causal Effects of Overall and Abdominal Obesity on Insulin Resistance and the Risk of Type 2 Diabetes Mellitus: A Two-Sample Mendelian Randomization Study.

Authors:  Hua Xu; Chuandi Jin; Qingbo Guan
Journal:  Front Genet       Date:  2020-07-02       Impact factor: 4.599

7.  Gender Differences in the Relationships among Metabolic Syndrome and Various Obesity-Related Indices with Nonalcoholic Fatty Liver Disease in a Taiwanese Population.

Authors:  I-Ting Lin; Mei-Yueh Lee; Chih-Wen Wang; Da-Wei Wu; Szu-Chia Chen
Journal:  Int J Environ Res Public Health       Date:  2021-01-20       Impact factor: 3.390

8.  Associations between trunk-to-peripheral fat ratio and cardiometabolic risk factors in elderly Japanese men: baseline data from the Fujiwara-kyo Osteoporosis Risk in Men (FORMEN) study.

Authors:  Katsuyasu Kouda; Yuki Fujita; Kumiko Ohara; Takahiro Tachiki; Junko Tamaki; Akiko Yura; Jong-Seong Moon; Etsuko Kajita; Kazuhiro Uenishi; Masayuki Iki
Journal:  Environ Health Prev Med       Date:  2021-03-20       Impact factor: 3.674

9.  Mean platelet volume and polycystic ovary syndrome: a systematic review and meta-analysis.

Authors:  Li Li; Jianxiu Yu; Zhongwei Zhou
Journal:  J Int Med Res       Date:  2022-01       Impact factor: 1.671

10.  Beneficial Metabolic Effects of Praliciguat, a Soluble Guanylate Cyclase Stimulator, in a Mouse Diet-Induced Obesity Model.

Authors:  Chad D Schwartzkopf; John R Hadcock; Guang Liu; Peter Germano; Julien Roux; Courtney M Shea; Emmanuel S Buys; Juli E Jones
Journal:  Front Pharmacol       Date:  2022-03-04       Impact factor: 5.810

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.