In addition, Nut-Filled Desserts universal cut-off value insulinn WHtR resustance the need Weight management diary age- gender- Waist-to-hip ratio and insulin resistance race-specific thresholds for MetS, enabling people to Waist-to-hip ratio and insulin resistance their own physical Waits-to-hip risks Waist-toh-ip and conveniently. However, none of the characteristics alone seems to play an important role in the level of heterogeneity. Seventy patients between ages without systemic disease and drug use were included in the study. A smaller relative risk in studies with a higher incident diabetes rate or higher baseline glucose levels may be explained by study-level confounding or a different mechanism of biologic action between obesity and diabetes in those populations where diabetes is more prevalent.

Waist-to-hip ratio and insulin resistance -

The prevalence of high WHR levels was 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.

Keywords: Diabetes mellitus; Glucose; Glucose tolerance test; Insulin resistance; Waist-hip ratio. Copyright © Diabetes India. Published by Elsevier Ltd. All participants provided written informed consent before entering the study. Demographics, clinical, and laboratory data were retrieved from the electronic database.

Demographics including age, sex, socioeconomic status, medical history, and lifestyle factors such as smoking and alcohol consumption were recorded during the baseline survey and every follow-up examination using a standardized questionnaire administered by a well-trained research coordinator.

A h fasting blood sample and the first-voided urine were analyzed to measure biochemical variables at the central laboratory. HOMA-IR was calculated The Chronic Kidney Disease Epidemiology Collaboration equation was used to calculate eGFR Anthropometric indices height, BW, waist circumference, and hip circumference were measured as recommended by the World Health Organization Changes in BW and WHR were assessed using the percent change from baseline Participants were re-evaluated every 2 years with a site visit.

Patients who were lost to follow up were censored at the date of the last examination at the 2nd, at the 3rd, at the 4th, at the 5th, and at the 6th visit. Statistical analysis was performed using R R Foundation for Statistical Computing, Vienna, Austria; www.

Continuous variables were expressed as the mean ± standard deviation or as the median interquartile range , and categorical variables were expressed as a number percentage. Cox regression analyses were performed to determine the independent risk of non-obese NAFLD for CKD development.

Multivariable Cox regression models included significant variables from univariate analyses including age, sex, education, income, smoking status, diabetes mellitus, hypertension, dyslipidemia, history of cardiovascular disease, C-reactive protein concentration, and baseline eGFR.

Multivariable Cox regression analyses were performed for all NAFLD patients and subsequent stratified analyses were performed for non-obese NAFLD and obese NAFLD patients. Furthermore, subgroup analyses according to diabetes mellitus, hypertension, and HOMA-IR concentrations were also performed.

The average slope of HOMA-IR changes during the follow-up was also calculated ΔHOMA-IR per year. A P value less than 0. The datasets used for the current study are available from the corresponding author on reasonable request. Baffy, G. Hepatocellular carcinoma in non-alcoholic fatty liver disease: an emerging menace.

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FIB an inexpensive and accurate marker of fibrosis in HCV infection. comparison with liver biopsy and fibrotest. Download references. The funders of this study had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Division of Gastroenterology, Department of Internal Medicine, Institute of Gastroenterology, CHA Bundang Medical Center, CHA University, Seongnam, Korea.

Department of Internal Medicine, CHA Bundang Medical Center, CHA University, Seongnam, Korea. You can also search for this author in PubMed Google Scholar.

and M. designed and conceptualized the study; Y. conducted the experiments and analyzed the data; S. supervised the experiments and analyses; Y. wrote the manuscript; all authors critically analyzed the manuscript and approved the final version of the manuscript.

Correspondence to Mi Jung Lee. Open Access This article is licensed under a Creative Commons Attribution 4. Reprints and permissions.

Chon, Y. Decrease in waist-to-hip ratio reduced the development of chronic kidney disease in non-obese non-alcoholic fatty liver disease.

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Skip to main content Thank you for visiting nature. nature scientific reports articles article. Download PDF. Subjects Gastroenterology Nephrology. Abstract To date, there are few studies that have evaluated the prognostic impact of changes in abdominal obesity or weight on long-term adverse kidney outcomes in non-alcoholic fatty liver disease NAFLD.

Introduction Non-alcoholic fatty liver disease NAFLD is a major chronic liver disease and a common cause of hepatocellular carcinoma and liver transplantation 1 , 2.

Results Baseline characteristics of study participants Baseline characteristics of study participants are shown in Table 1. Table 1 Baseline characteristics of participants. Full size table. Table 2 Comparison of metabolic characteristics between non-obese NAFLD and obese NAFLD patients.

Table 3 Uni- and multivariable Cox regression analyses for risk of CKD development according to obesity and NAFLD. Figure 1. Full size image. Figure 2. Figure 3. Figure 4. Discussion In the present study, we demonstrated that not only obese NAFLD patients, but also non-obese NAFLD patients, had a significantly greater risk of CKD development.

Methods Study design and participants Participants from the Ansung-Ansan Cohort of the Korean Genome Epidemiology Study KoGES were screened in this study. Data collection Demographics, clinical, and laboratory data were retrieved from the electronic database.

Assessment of changes in body weight and WHR Anthropometric indices height, BW, waist circumference, and hip circumference were measured as recommended by the World Health Organization Follow-up and outcome Participants were re-evaluated every 2 years with a site visit.

Statistical analysis Statistical analysis was performed using R R Foundation for Statistical Computing, Vienna, Austria; www. Data availability The datasets used for the current study are available from the corresponding author on reasonable request.

References Baffy, G. Article PubMed Google Scholar Vuppalanchi, R. Article PubMed PubMed Central Google Scholar Younossi, Z. Article PubMed Google Scholar Marchesini, G. Article PubMed Google Scholar Kwon, Y.

Susan B. RacetteZnd Waist-to-hip ratio and insulin resistance. EvansEdward P. Weiss resietance, James M. HagbergJohn O. Holloszy; Abdominal Adiposity Is a Stronger Predictor of Insulin Resistance Than Fitness Among 50—95 Year Olds.

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Best Way to Measure Insulin Resistance Without Blood Test – Dr. Berg Aim: The most important cause of insulin resistance IR Waixt-to-hip obesity. Abdominal adiposity AA is more Periodized nutrition for bodybuilders than general obesity insilin Waist-to-hip ratio and insulin resistance formation. The aim of this study is to evaluate waist circumference WCwaist-hip ratio WHR and waist-length ratio WLR as the AA markers, and to question their predictive properties in IR. Materials and Methods: Individuals diagnosed with IR were retrospectively examined. Seventy patients between ages without systemic disease and drug use were included in the study.