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Association between Obese Phenotype and Mildly Reduced eGFR among the General Population from Rural Northeast China

Obesity contributes to reduced kidney function; however, whether this is due to obesity itself or the metabolic abnormalities that accompany it is unclear. Besides, most previous studies enrolled participants with moderate or severe stage of chronic kidney disease. In the present study, we aim to in...

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Autores principales: Yu, Shasha, Yang, Hongmei, Guo, Xiaofan, Zheng, Liqiang, Sun, Yingxian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4923997/
https://www.ncbi.nlm.nih.gov/pubmed/27240390
http://dx.doi.org/10.3390/ijerph13060540
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author Yu, Shasha
Yang, Hongmei
Guo, Xiaofan
Zheng, Liqiang
Sun, Yingxian
author_facet Yu, Shasha
Yang, Hongmei
Guo, Xiaofan
Zheng, Liqiang
Sun, Yingxian
author_sort Yu, Shasha
collection PubMed
description Obesity contributes to reduced kidney function; however, whether this is due to obesity itself or the metabolic abnormalities that accompany it is unclear. Besides, most previous studies enrolled participants with moderate or severe stage of chronic kidney disease. In the present study, we aim to investigate the possible relationship between obesity, metabolic abnormalities and mildly reduced estimated glomerular filtration rate (eGFR). A total of 11,127 Chinese participants (age ≥ 35 years) were enrolled in a survey conducted from January 2012 to August 2013. eGFR 60–90 mL/min/1.73 m(2) was defined as mildly reduced eGFR. Obese phenotype was divided into four types: metabolically healthy non-obese (MHNO), metabolically healthy obese (MHO), metabolically abnormal non-obese (MANO) and metabolically abnormal obese (MAO). Among all participants, 1941 (17.4%) of them had mildly reduced eGFR (16.7% for men and 18.1% for women, p = 0.025). The prevalence of obese phenotype was 22.5% for MHNO, 9.1% for MHO, 32.1% for MANO and 36.4% for MAO. The prevalence of mildly reduced eGFR was 9.0% among MHNO, 7.0% among MHO, 22.6% among MANO and 20.7% among MAO (p < 0.001). Multivariate logistic regression analysis revealed that obese phenotype did not statically contributed to mildly reduced eGFR (MHO: OR = 1.107, p = 0.662; MANO: OR = 0.800, p = 0.127; MAO: OR = 1.119, p = 0.525). However, gender (OR = 1.475, p < 0.001), aging (OR = 1.283, p < 0.001), dyslipidemia (OR = 1.544, 95%CI: 1.315, 1.814, p < 0.001) and hyperglycemia (OR = 1.247, 95%CI: 1.068, 1.455, p = 0.005) was associated with increased risk of mild reduced eGFR. Among the general population from rural Northeast China, mildly reduced eGFR was associated with metabolic disorders like dyslipidemia and hyperglycemia, but not obesity.
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spelling pubmed-49239972016-07-05 Association between Obese Phenotype and Mildly Reduced eGFR among the General Population from Rural Northeast China Yu, Shasha Yang, Hongmei Guo, Xiaofan Zheng, Liqiang Sun, Yingxian Int J Environ Res Public Health Article Obesity contributes to reduced kidney function; however, whether this is due to obesity itself or the metabolic abnormalities that accompany it is unclear. Besides, most previous studies enrolled participants with moderate or severe stage of chronic kidney disease. In the present study, we aim to investigate the possible relationship between obesity, metabolic abnormalities and mildly reduced estimated glomerular filtration rate (eGFR). A total of 11,127 Chinese participants (age ≥ 35 years) were enrolled in a survey conducted from January 2012 to August 2013. eGFR 60–90 mL/min/1.73 m(2) was defined as mildly reduced eGFR. Obese phenotype was divided into four types: metabolically healthy non-obese (MHNO), metabolically healthy obese (MHO), metabolically abnormal non-obese (MANO) and metabolically abnormal obese (MAO). Among all participants, 1941 (17.4%) of them had mildly reduced eGFR (16.7% for men and 18.1% for women, p = 0.025). The prevalence of obese phenotype was 22.5% for MHNO, 9.1% for MHO, 32.1% for MANO and 36.4% for MAO. The prevalence of mildly reduced eGFR was 9.0% among MHNO, 7.0% among MHO, 22.6% among MANO and 20.7% among MAO (p < 0.001). Multivariate logistic regression analysis revealed that obese phenotype did not statically contributed to mildly reduced eGFR (MHO: OR = 1.107, p = 0.662; MANO: OR = 0.800, p = 0.127; MAO: OR = 1.119, p = 0.525). However, gender (OR = 1.475, p < 0.001), aging (OR = 1.283, p < 0.001), dyslipidemia (OR = 1.544, 95%CI: 1.315, 1.814, p < 0.001) and hyperglycemia (OR = 1.247, 95%CI: 1.068, 1.455, p = 0.005) was associated with increased risk of mild reduced eGFR. Among the general population from rural Northeast China, mildly reduced eGFR was associated with metabolic disorders like dyslipidemia and hyperglycemia, but not obesity. MDPI 2016-05-27 2016-06 /pmc/articles/PMC4923997/ /pubmed/27240390 http://dx.doi.org/10.3390/ijerph13060540 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yu, Shasha
Yang, Hongmei
Guo, Xiaofan
Zheng, Liqiang
Sun, Yingxian
Association between Obese Phenotype and Mildly Reduced eGFR among the General Population from Rural Northeast China
title Association between Obese Phenotype and Mildly Reduced eGFR among the General Population from Rural Northeast China
title_full Association between Obese Phenotype and Mildly Reduced eGFR among the General Population from Rural Northeast China
title_fullStr Association between Obese Phenotype and Mildly Reduced eGFR among the General Population from Rural Northeast China
title_full_unstemmed Association between Obese Phenotype and Mildly Reduced eGFR among the General Population from Rural Northeast China
title_short Association between Obese Phenotype and Mildly Reduced eGFR among the General Population from Rural Northeast China
title_sort association between obese phenotype and mildly reduced egfr among the general population from rural northeast china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4923997/
https://www.ncbi.nlm.nih.gov/pubmed/27240390
http://dx.doi.org/10.3390/ijerph13060540
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