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Relationships Between Metabolic Body Composition Status and Rapid Kidney Function Decline in a Community-Based Population: A Prospective Observational Study

Obesity and metabolic syndrome are strong risk factors for incident chronic kidney disease (CKD). However, the predictive accuracy of metabolic body composition status (MBCS), which combines the status of obesity and metabolic syndrome, for rapid kidney function decline (RKFD) is unclear. The aim of...

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Autores principales: Chu, Shao-Chi, Wang, Po-Hsi, Lu, Kuan-Ying, Ko, Chia-Chun, She, Yun-Hsuan, Lee, Chin-Chan, Wu, I-Wen, Sun, Chiao-Yin, Hsu, Heng-Jung, Pan, Heng-Chih
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9204180/
https://www.ncbi.nlm.nih.gov/pubmed/35719641
http://dx.doi.org/10.3389/fpubh.2022.895787
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author Chu, Shao-Chi
Wang, Po-Hsi
Lu, Kuan-Ying
Ko, Chia-Chun
She, Yun-Hsuan
Lee, Chin-Chan
Wu, I-Wen
Sun, Chiao-Yin
Hsu, Heng-Jung
Pan, Heng-Chih
author_facet Chu, Shao-Chi
Wang, Po-Hsi
Lu, Kuan-Ying
Ko, Chia-Chun
She, Yun-Hsuan
Lee, Chin-Chan
Wu, I-Wen
Sun, Chiao-Yin
Hsu, Heng-Jung
Pan, Heng-Chih
author_sort Chu, Shao-Chi
collection PubMed
description Obesity and metabolic syndrome are strong risk factors for incident chronic kidney disease (CKD). However, the predictive accuracy of metabolic body composition status (MBCS), which combines the status of obesity and metabolic syndrome, for rapid kidney function decline (RKFD) is unclear. The aim of this study was to investigate the relationship between MBCS and RKFD in a healthy population in a prospective community-based cohort study. In the current study, we followed changes in renal function in 731 people residing in northern Taiwan for 5 years. The participants were divided into four groups according to their MBCS, including metabolically healthy normal weight (MHNW), metabolically healthy overweight (MHOW), metabolically unhealthy normal weight (MUNW), and metabolically unhealthy overweight (MUOW). We evaluated traditional risk factors for CKD and metabolic profiles. The primary outcome was RKFD, which was defined as a 15% decline in estimated glomerular filtration rate (eGFR) within the first 4 years, and a reduction in eGFR which did not improve in the 5th year. During the study period, a total of 731 participants were enrolled. The incidence of RKFD was 17.1% (125/731). Multiple Cox logistic regression hazard analysis revealed that age, cerebrovascular accident, eGFR, urine albumin-to-creatinine ratio, use of painkillers, depressive mood, MUNW and MUOW were independent predictors of RKFD. After adjusting for age, sex, eGFR and total cholesterol, the participants with MUNW and MUOW had higher hazard ratios (HRs) for RKFD [HR: 2.19, 95% confidence interval (CI): 1.22–3.95 for MUNW; HR: 1.86, 95% CI: 1.21–2.87 for MUOW] than those with MHNW. Similar results were also observed in subgroup analysis of those aged above 65 years. On the basis of the results of this study, we conclude that MBCS was independently associated with RKFD, especially in the older adults. On the basis of our results, we suggest that MUNW and MUOW should be considered as risk factors for RKFD.
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spelling pubmed-92041802022-06-18 Relationships Between Metabolic Body Composition Status and Rapid Kidney Function Decline in a Community-Based Population: A Prospective Observational Study Chu, Shao-Chi Wang, Po-Hsi Lu, Kuan-Ying Ko, Chia-Chun She, Yun-Hsuan Lee, Chin-Chan Wu, I-Wen Sun, Chiao-Yin Hsu, Heng-Jung Pan, Heng-Chih Front Public Health Public Health Obesity and metabolic syndrome are strong risk factors for incident chronic kidney disease (CKD). However, the predictive accuracy of metabolic body composition status (MBCS), which combines the status of obesity and metabolic syndrome, for rapid kidney function decline (RKFD) is unclear. The aim of this study was to investigate the relationship between MBCS and RKFD in a healthy population in a prospective community-based cohort study. In the current study, we followed changes in renal function in 731 people residing in northern Taiwan for 5 years. The participants were divided into four groups according to their MBCS, including metabolically healthy normal weight (MHNW), metabolically healthy overweight (MHOW), metabolically unhealthy normal weight (MUNW), and metabolically unhealthy overweight (MUOW). We evaluated traditional risk factors for CKD and metabolic profiles. The primary outcome was RKFD, which was defined as a 15% decline in estimated glomerular filtration rate (eGFR) within the first 4 years, and a reduction in eGFR which did not improve in the 5th year. During the study period, a total of 731 participants were enrolled. The incidence of RKFD was 17.1% (125/731). Multiple Cox logistic regression hazard analysis revealed that age, cerebrovascular accident, eGFR, urine albumin-to-creatinine ratio, use of painkillers, depressive mood, MUNW and MUOW were independent predictors of RKFD. After adjusting for age, sex, eGFR and total cholesterol, the participants with MUNW and MUOW had higher hazard ratios (HRs) for RKFD [HR: 2.19, 95% confidence interval (CI): 1.22–3.95 for MUNW; HR: 1.86, 95% CI: 1.21–2.87 for MUOW] than those with MHNW. Similar results were also observed in subgroup analysis of those aged above 65 years. On the basis of the results of this study, we conclude that MBCS was independently associated with RKFD, especially in the older adults. On the basis of our results, we suggest that MUNW and MUOW should be considered as risk factors for RKFD. Frontiers Media S.A. 2022-06-03 /pmc/articles/PMC9204180/ /pubmed/35719641 http://dx.doi.org/10.3389/fpubh.2022.895787 Text en Copyright © 2022 Chu, Wang, Lu, Ko, She, Lee, Wu, Sun, Hsu and Pan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Chu, Shao-Chi
Wang, Po-Hsi
Lu, Kuan-Ying
Ko, Chia-Chun
She, Yun-Hsuan
Lee, Chin-Chan
Wu, I-Wen
Sun, Chiao-Yin
Hsu, Heng-Jung
Pan, Heng-Chih
Relationships Between Metabolic Body Composition Status and Rapid Kidney Function Decline in a Community-Based Population: A Prospective Observational Study
title Relationships Between Metabolic Body Composition Status and Rapid Kidney Function Decline in a Community-Based Population: A Prospective Observational Study
title_full Relationships Between Metabolic Body Composition Status and Rapid Kidney Function Decline in a Community-Based Population: A Prospective Observational Study
title_fullStr Relationships Between Metabolic Body Composition Status and Rapid Kidney Function Decline in a Community-Based Population: A Prospective Observational Study
title_full_unstemmed Relationships Between Metabolic Body Composition Status and Rapid Kidney Function Decline in a Community-Based Population: A Prospective Observational Study
title_short Relationships Between Metabolic Body Composition Status and Rapid Kidney Function Decline in a Community-Based Population: A Prospective Observational Study
title_sort relationships between metabolic body composition status and rapid kidney function decline in a community-based population: a prospective observational study
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9204180/
https://www.ncbi.nlm.nih.gov/pubmed/35719641
http://dx.doi.org/10.3389/fpubh.2022.895787
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