BACKGROUND: The role of obesity as a determinant of kidney dysfunction has not reached an agreement and the underlying reason may be due to the heterogeneity of obese phenotypes. The aim of the study was to explore the associations of different obese phenotypes with the change of estimated glomerular filtration rate (eGFR) and the roles of obesity and metabolic abnormalities in this association. METHODS: eGFR was calculated in 8,586 participants (≥ 40 years old). eGFR 60-90 mL/min/1.73 m(2) was defined as the mildly reduced eGFR. Multiple logistic regression analysis was used to determine odds ratios (ORs) for mildly reduced eGFR in the metabolically healthy obese (MHO), metabolically abnormal non-obese (MANO) and metabolically abnormal obese (MAO) groups, using the metabolically healthy non-obese (MHNO) subjects as the reference group. Meanwhile, the associations of body mass index (BMI), waist circumference (WC) and metabolic abnormalities (including hypertension, hyperglycemia and dyslipidemia) with the risk of mildly reduced eGFR were also investigated. RESULTS: The proportion of MHNO, MHO, MANO and MAO subjects was 8.3, 17.1, 10.1 and 64.5 %, respectively. Increased ORs were observed in MANO (OR 1.51, P = 0.014) and MAO (OR 1.47, P = 0.015) groups, after adjusting for age, gender, smoking, drinking, BMI and WC. When further adjusting for metabolic abnormalities, MANO (OR 1.24, P = 0.247) and MAO (OR 1.17, P = 0.366) subjects would not present increased risk of mildly reduced eGFR any more. Oppositely, fasting insulin (OR 1.03, P < 0.001), hyperglycemia (OR 1.25, P = 0.002) and dyslipidemia (OR 1.25, P = 0.002), but not hypertension, BMI and WC, significantly increased the risk of mildly reduced eGFR. CONCLUSIONS: Metabolic abnormalities, but not simple obesity, may contribute to the mildly reduced eGFR in middle-aged and elderly Chinese.
BACKGROUND: The role of obesity as a determinant of kidney dysfunction has not reached an agreement and the underlying reason may be due to the heterogeneity of obese phenotypes. The aim of the study was to explore the associations of different obese phenotypes with the change of estimated glomerular filtration rate (eGFR) and the roles of obesity and metabolic abnormalities in this association. METHODS: eGFR was calculated in 8,586 participants (≥ 40 years old). eGFR 60-90 mL/min/1.73 m(2) was defined as the mildly reduced eGFR. Multiple logistic regression analysis was used to determine odds ratios (ORs) for mildly reduced eGFR in the metabolically healthy obese (MHO), metabolically abnormal non-obese (MANO) and metabolically abnormal obese (MAO) groups, using the metabolically healthy non-obese (MHNO) subjects as the reference group. Meanwhile, the associations of body mass index (BMI), waist circumference (WC) and metabolic abnormalities (including hypertension, hyperglycemia and dyslipidemia) with the risk of mildly reduced eGFR were also investigated. RESULTS: The proportion of MHNO, MHO, MANO and MAO subjects was 8.3, 17.1, 10.1 and 64.5 %, respectively. Increased ORs were observed in MANO (OR 1.51, P = 0.014) and MAO (OR 1.47, P = 0.015) groups, after adjusting for age, gender, smoking, drinking, BMI and WC. When further adjusting for metabolic abnormalities, MANO (OR 1.24, P = 0.247) and MAO (OR 1.17, P = 0.366) subjects would not present increased risk of mildly reduced eGFR any more. Oppositely, fasting insulin (OR 1.03, P < 0.001), hyperglycemia (OR 1.25, P = 0.002) and dyslipidemia (OR 1.25, P = 0.002), but not hypertension, BMI and WC, significantly increased the risk of mildly reduced eGFR. CONCLUSIONS:Metabolic abnormalities, but not simple obesity, may contribute to the mildly reduced eGFR in middle-aged and elderly Chinese.
Authors: Allan J Collins; Robert N Foley; Charles Herzog; Blanche Chavers; David Gilbertson; Areef Ishani; Bertram Kasiske; Jiannong Liu; Lih-Wen Mau; Marshall McBean; Anne Murray; Wendy St Peter; Haifeng Guo; Sally Gustafson; Qi Li; Shuling Li; Suying Li; Yi Peng; Yang Qiu; Tricia Roberts; Melissa Skeans; Jon Snyder; Craig Solid; Changchun Wang; Eric Weinhandl; David Zaun; Cheryl Arko; Shu-Cheng Chen; Frederick Dalleska; Frank Daniels; Stephan Dunning; James Ebben; Eric Frazier; Christopher Hanzlik; Roger Johnson; Daniel Sheets; Xinyue Wang; Beth Forrest; Edward Constantini; Susan Everson; Paul Eggers; Lawrence Agodoa Journal: Am J Kidney Dis Date: 2011-01 Impact factor: 8.860
Authors: Marc M H Hermans; Ronald Henry; Jacqueline M Dekker; Jeroen P Kooman; Piet J Kostense; Giel Nijpels; Robert J Heine; Coen D A Stehouwer Journal: J Am Soc Nephrol Date: 2007-04-25 Impact factor: 10.121
Authors: Stein I Hallan; Kunihiro Matsushita; Yingying Sang; Bakhtawar K Mahmoodi; Corri Black; Areef Ishani; Nanne Kleefstra; David Naimark; Paul Roderick; Marcello Tonelli; Jack F M Wetzels; Brad C Astor; Ron T Gansevoort; Adeera Levin; Chi-Pang Wen; Josef Coresh Journal: JAMA Date: 2012-12-12 Impact factor: 56.272
Authors: Mariusz Stępień; Anna Stępień; Rafał Nikodem Wlazeł; Marek Paradowski; Maciej Banach; Magdalena Rysz; Jacek Rysz Journal: Med Sci Monit Date: 2013-11-27
Authors: Richard K D Ephraim; Frederick Ahordzor; Kwame Kumi Asare; Evans Duah; Ibrahim W Naveh-Fio; Grace Essuman; Justice Afrifa Journal: Int J Nephrol Date: 2022-05-29
Authors: Shasha Yu; Hongmei Yang; Xiaofan Guo; Liqiang Zheng; Yingxian Sun Journal: Int J Environ Res Public Health Date: 2016-05-27 Impact factor: 3.390