Obesity, metabolic dysfunction, and risk of kidney stone disease: a national cross-sectional study

AbstractBackground This study aimed to investigate the association between different metabolic syndrome-body mass index (MetS-BMI) phenotypes and the risk of kidney stones.Materials and Methods Participants aged 20–80 years from six consecutive cycles of the NHANES 2007–2018 were included in this st...

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Main Authors: Zhenyang Ye, Changjing Wu, Yang Xiong, Fuxun Zhang, Jinyang Luo, Lijing Xu, Jia Wang, Yunjin Bai
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:The Aging Male
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/13685538.2023.2195932
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author Zhenyang Ye
Changjing Wu
Yang Xiong
Fuxun Zhang
Jinyang Luo
Lijing Xu
Jia Wang
Yunjin Bai
author_facet Zhenyang Ye
Changjing Wu
Yang Xiong
Fuxun Zhang
Jinyang Luo
Lijing Xu
Jia Wang
Yunjin Bai
author_sort Zhenyang Ye
collection DOAJ
description AbstractBackground This study aimed to investigate the association between different metabolic syndrome-body mass index (MetS-BMI) phenotypes and the risk of kidney stones.Materials and Methods Participants aged 20–80 years from six consecutive cycles of the NHANES 2007–2018 were included in this study. According to their MetS status and BMI, the included participants were allocated into six mutually exclusive groups: metabolically healthy normal weight (MHN)/overweight (MHOW)/obesity (MHO) and metabolically unhealthy normal weight (MUN)/overweight (MUOW)/obesity (MUO). To explore the association between MetS-BMI phenotypes and the risk of kidney stones, binary logistic regression was used to determine the odds ratios (ORs).Results A total of 13,589 participants were included. It was revealed that all the phenotypes with obesity displayed higher risks of kidney stones (OR = 1.38, p < 0.01 for MHO & OR = 1.80, p < 0.001 for MUO, in the fully adjusted model). The risk increased significantly when metabolic dysfunction coexisted with overweight and obesity (OR = 1.39, p < 0.05 for MUOW & OR = 1.80, p < 0.001 for MUO, in the fully adjusted model). Of note, the ORs for the MUO and MUOW groups were higher than those for the MHO and MHOW groups, respectively.Conclusions Obesity and unhealthy metabolic status can jointly increase the risk of kidney stones. Assessing the metabolic status of all individuals may be beneficial for preventing kidney stones.
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spelling doaj.art-c4815653b7be4a93926ac8d17de025442023-12-01T20:52:03ZengTaylor & Francis GroupThe Aging Male1368-55381473-07902023-12-0126110.1080/13685538.2023.2195932Obesity, metabolic dysfunction, and risk of kidney stone disease: a national cross-sectional studyZhenyang Ye0Changjing Wu1Yang Xiong2Fuxun Zhang3Jinyang Luo4Lijing Xu5Jia Wang6Yunjin Bai7Department of Urology, West China Xiamen Hospital of Sichuan University, Xiamen, P.R. ChinaAndrology Laboratory, West China Hospital, Sichuan University, Chengdu, P.R. ChinaDepartment of Urology, West China Hospital, Sichuan University, Chengdu, P.R. ChinaDepartment of Urology, West China Hospital, Sichuan University, Chengdu, P.R. ChinaDepartment of Urology, West China Xiamen Hospital of Sichuan University, Xiamen, P.R. ChinaDepartment of Urology, West China Xiamen Hospital of Sichuan University, Xiamen, P.R. ChinaDepartment of Urology, West China Hospital, Sichuan University, Chengdu, P.R. ChinaDepartment of Urology, West China Hospital, Sichuan University, Chengdu, P.R. ChinaAbstractBackground This study aimed to investigate the association between different metabolic syndrome-body mass index (MetS-BMI) phenotypes and the risk of kidney stones.Materials and Methods Participants aged 20–80 years from six consecutive cycles of the NHANES 2007–2018 were included in this study. According to their MetS status and BMI, the included participants were allocated into six mutually exclusive groups: metabolically healthy normal weight (MHN)/overweight (MHOW)/obesity (MHO) and metabolically unhealthy normal weight (MUN)/overweight (MUOW)/obesity (MUO). To explore the association between MetS-BMI phenotypes and the risk of kidney stones, binary logistic regression was used to determine the odds ratios (ORs).Results A total of 13,589 participants were included. It was revealed that all the phenotypes with obesity displayed higher risks of kidney stones (OR = 1.38, p < 0.01 for MHO & OR = 1.80, p < 0.001 for MUO, in the fully adjusted model). The risk increased significantly when metabolic dysfunction coexisted with overweight and obesity (OR = 1.39, p < 0.05 for MUOW & OR = 1.80, p < 0.001 for MUO, in the fully adjusted model). Of note, the ORs for the MUO and MUOW groups were higher than those for the MHO and MHOW groups, respectively.Conclusions Obesity and unhealthy metabolic status can jointly increase the risk of kidney stones. Assessing the metabolic status of all individuals may be beneficial for preventing kidney stones.https://www.tandfonline.com/doi/10.1080/13685538.2023.2195932Kidney stonesmetabolic syndromeobesityNHANES
spellingShingle Zhenyang Ye
Changjing Wu
Yang Xiong
Fuxun Zhang
Jinyang Luo
Lijing Xu
Jia Wang
Yunjin Bai
Obesity, metabolic dysfunction, and risk of kidney stone disease: a national cross-sectional study
The Aging Male
Kidney stones
metabolic syndrome
obesity
NHANES
title Obesity, metabolic dysfunction, and risk of kidney stone disease: a national cross-sectional study
title_full Obesity, metabolic dysfunction, and risk of kidney stone disease: a national cross-sectional study
title_fullStr Obesity, metabolic dysfunction, and risk of kidney stone disease: a national cross-sectional study
title_full_unstemmed Obesity, metabolic dysfunction, and risk of kidney stone disease: a national cross-sectional study
title_short Obesity, metabolic dysfunction, and risk of kidney stone disease: a national cross-sectional study
title_sort obesity metabolic dysfunction and risk of kidney stone disease a national cross sectional study
topic Kidney stones
metabolic syndrome
obesity
NHANES
url https://www.tandfonline.com/doi/10.1080/13685538.2023.2195932
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