scholarly journals Body mass index and fat mass are the primary correlates of insulin resistance in nondiabetic stage 3–4 chronic kidney disease patients

2007 ◽  
Vol 86 (6) ◽  
pp. 1642-1648 ◽  
Author(s):  
M Luisa Trirogoff ◽  
Ayumi Shintani ◽  
Jonathan Himmelfarb ◽  
T Alp Ikizler
Keyword(s):  
Insulin Resistance ◽  
Body Mass Index ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Body Mass ◽  
Fat Mass

scholarly journals HIGH BODY MASS INDEX (BMI) IS ASSOCIATED WITH ADIPOKINES AND INSULIN RESISTANCE IN NONDIALYSED CHRONIC KIDNEY DISEASE (CKD) PATIENTS

2012 ◽  
Vol 31 (2) ◽  
pp. A19
Author(s):  
Maria Inês Barreto-Silva ◽  
Carla Avesani ◽  
Laura Kawakami ◽  
Renata Martucci ◽  
Rachel Bregman
Keyword(s):  
Insulin Resistance ◽  
Body Mass Index ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Body Mass ◽  
High Body Mass Index ◽  
High Body

Longitudinal outcomes of body mass index in overweight and obese children with chronic kidney disease

2021 ◽  
Author(s):  
Nancy M. Rodig ◽  
Jennifer Roem ◽  
Michael F. Schneider ◽  
Patricia W. Seo-Mayer ◽  
Kimberly J. Reidy ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Body Mass ◽  
Obese Children ◽  
Longitudinal Outcomes

Body Mass Index and the Risk of Progression of Chronic Kidney Disease

2011 ◽  
Vol 21 (6) ◽  
pp. 455-461 ◽  
Author(s):  
Abdelrahman Khedr ◽  
Essam Khedr ◽  
Andrew A. House
Keyword(s):  
Body Mass Index ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Body Mass ◽  
Risk Of Progression

scholarly journals Body mass index in an Australian population with chronic kidney disease

2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Samuel Chan ◽  
Anne Cameron ◽  
Zaimin Wang ◽  
Sree K. Venuthurupalli ◽  
Ken S. Tan ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Body Mass ◽  
Australian Population

scholarly journals P0825ASSOCIATION OF BODY MASS INDEX CHANGES WITH CHRONIC KIDNEY DISEASE IN A JAPANESE GENERAL POPULATION

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Akiko Toda ◽  
Shigeko Hara ◽  
Hiroshi Tsuji ◽  
Yasuji Arase
Keyword(s):  
Body Mass Index ◽  
Chronic Kidney Disease ◽  
Risk Factor ◽  
Kidney Disease ◽  
Body Mass ◽  
Estimated Glomerular Filtration Rate ◽  
Multivariate Logistic Regression Analysis ◽  
Health Check ◽  
Japanese General Population ◽  
Index Changes

Abstract Background and Aims Obesity is a risk factor for chronic kidney disease (CKD), but the effect of reducing body mass index (BMI) on the prevention of CKD is controversial. One of reasons for this disagreement is that part of patients with a BMI decrease may have an unfavourable health status. In such cases, the BMI decrease could be a risk factor for the development of CKD. Therefore, by analysing the data of annual health check-ups, we examined an association between BMI change and CKD development to determine whether BMI reduction helps prevent CKD development. Method We analysed the data of 6,959 subjects who underwent annual health check-ups in both 2013 and 2018. By a multivariate logistic regression analysis, we investigated a relationship between BMI change and CKD development within the 5 years between 2013 and 2018. The percent change in the BMI (ΔBMI) was calculated using the following equation: {(BMI in 2018 − BMI in 2013)/BMI in 2013} ×100. For analyses, we classified the subjects into five groups based on their ΔBMI value: (i) severe BMI decrease (ΔBMI <−2.5%); (ii) moderate BMI decrease (ΔBMI ≥−2.5% but <0%); (iii) maintained BMI (ΔBMI ≥0% but <2.5%); (iv) moderate BMI increase (ΔBMI ≥2.5% but <5%); (v) severe BMI increase (ΔBMI ≥5%). For further analysis, we divided the subjects into non-obesity category (basal BMI <25 Kg/m2) and obesity category (basal BMI ≥25 Kg/m2). Subjects with an estimated glomerular filtration rate <60 mL/min./1.73 m2 were defined as having a CKD. Results After adjusting several covariates, compared with the maintained BMI group, the severe BMI decrease group showed a significantly low risk of CKD development (odds ratio (OR) 0.70, 95% confidence intervals (CI) 0.54-0.91, p <0.01) and the severe BMI increase group had a significantly high risk (OR 1.40, CI 1.08-1.81, p = 0.01). A farther analysis revealed that the OR of CKD development for the severe BMI increase group in the obesity category was higher than that in the non-obesity category (OR 1.75 vs. 1.29). Conclusion In subjects who underwent annual health check-ups, BMI reduction had a significant effect on the prevention of CKD development, whereas an increase in the BMI was a risk factor for CKD development. Moreover, by severe increase in the BMI, obesity subjects showed higher risk of CKD development than non-obesity subjects.

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