Association between obesity indexes and chronic kidney disease risk: a double-cohort prospective study in the Binhai and UK Biobank
IntroductionThe prevalence of overweight and obesity has increased worldwide, leading to growing concern regarding the impact of visceral adipose deposition on renal function. The aim of this study was to evaluate the predictive value of 10 obesity indexes for the risk of chronic kidney disease (CKD...
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Frontiers Media S.A.
2025-06-01
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| Series: | Frontiers in Endocrinology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fendo.2025.1566011/full |
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| author | Suhua Gao Suhua Gao Yixi Liu Yixi Liu Yixi Liu Hongyan Liu Hongyan Liu Yao Lin Yao Lin Pufei Bai Pufei Bai Fang Hou Shan Lu Shan Lu Saijun Zhou Saijun Zhou Haizhen Sun Haizhen Sun Guangyang Ma Guangyang Ma Hao Liu Mianzhi Zhang Zhuang Cui Pei Yu Pei Yu |
| author_facet | Suhua Gao Suhua Gao Yixi Liu Yixi Liu Yixi Liu Hongyan Liu Hongyan Liu Yao Lin Yao Lin Pufei Bai Pufei Bai Fang Hou Shan Lu Shan Lu Saijun Zhou Saijun Zhou Haizhen Sun Haizhen Sun Guangyang Ma Guangyang Ma Hao Liu Mianzhi Zhang Zhuang Cui Pei Yu Pei Yu |
| author_sort | Suhua Gao |
| collection | DOAJ |
| description | IntroductionThe prevalence of overweight and obesity has increased worldwide, leading to growing concern regarding the impact of visceral adipose deposition on renal function. The aim of this study was to evaluate the predictive value of 10 obesity indexes for the risk of chronic kidney disease (CKD) in both Chinese populations and Western.MethodsThe Tianjin Chronic Kidney Disease Study (Binhai, primary cohort) included 126,109 participants, while 358,918 adults from the U.K. Biobank (UKB, replication cohort) were included. Cox proportional hazard and restricted cubic spline models were used to assess the relationships between obesity indexes and the risk of CKD.ResultsDuring a median follow-up of 35 months in the Binhai cohort, 14,435 CKD cases were identified, while 358,918 CKD cases were observed in the U.K. Biobank cohort during 161 months of follow-up. The risk of CKD increased with increasing quartile levels of the Chinese Visceral Adiposity Index (CVAI) (P for trend < 0.001). CVAI was associated with increased CKD risk (hazard ratio in comparing the highest to the lowest quintile = 1.22 [95% CI 1.16-1.30]) and its predictive ability was the highest among the 10 obesity indexes, with an AUC value of 0.588 (0.581-0.594) in the female subgroup of the Binhai cohort. All of the obesity indexes were negatively correlated with estimated glomerular filtration rate (eGFR).DiscussionFindings from two large prospective cohort studies support the notion that obesity indexes, particularly CVAI, are significantly associated with the risk of CKD across diverse ethnic groups. |
| format | Article |
| id | doaj-art-7f9a74ffe2714b8a8744f383161ea840 |
| institution | Kabale University |
| issn | 1664-2392 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Endocrinology |
| spelling | doaj-art-7f9a74ffe2714b8a8744f383161ea8402025-08-20T03:24:12ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922025-06-011610.3389/fendo.2025.15660111566011Association between obesity indexes and chronic kidney disease risk: a double-cohort prospective study in the Binhai and UK BiobankSuhua Gao0Suhua Gao1Yixi Liu2Yixi Liu3Yixi Liu4Hongyan Liu5Hongyan Liu6Yao Lin7Yao Lin8Pufei Bai9Pufei Bai10Fang Hou11Shan Lu12Shan Lu13Saijun Zhou14Saijun Zhou15Haizhen Sun16Haizhen Sun17Guangyang Ma18Guangyang Ma19Hao Liu20Mianzhi Zhang21Zhuang Cui22Pei Yu23Pei Yu24National Health Commission (NHC) Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, ChinaTianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, ChinaNational Health Commission (NHC) Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, ChinaTianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, ChinaDepartment of Nephrology, Xi’an Jiao Tong University-affiliated Honghui Hospital, Xi’an, ChinaNational Health Commission (NHC) Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, ChinaTianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, ChinaNational Health Commission (NHC) Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, ChinaTianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, ChinaNational Health Commission (NHC) Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, ChinaTianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, ChinaCommunity Health Service Center, Tianjin, ChinaNational Health Commission (NHC) Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, ChinaDepartment of Radiology, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, ChinaNational Health Commission (NHC) Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, ChinaTianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, ChinaNational Health Commission (NHC) Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, ChinaDepartment of Radiology, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, ChinaNational Health Commission (NHC) Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, ChinaTianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, ChinaCommunity Health Service Center, Tianjin, ChinaDepartment of Nephrology, Dongfang Hospital of Beijing University of Chinese Medicine, Beijing, ChinaDepartment of Epidemiology and Health Statistics, Tianjin Medical University, Tianjin, ChinaNational Health Commission (NHC) Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, ChinaTianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, ChinaIntroductionThe prevalence of overweight and obesity has increased worldwide, leading to growing concern regarding the impact of visceral adipose deposition on renal function. The aim of this study was to evaluate the predictive value of 10 obesity indexes for the risk of chronic kidney disease (CKD) in both Chinese populations and Western.MethodsThe Tianjin Chronic Kidney Disease Study (Binhai, primary cohort) included 126,109 participants, while 358,918 adults from the U.K. Biobank (UKB, replication cohort) were included. Cox proportional hazard and restricted cubic spline models were used to assess the relationships between obesity indexes and the risk of CKD.ResultsDuring a median follow-up of 35 months in the Binhai cohort, 14,435 CKD cases were identified, while 358,918 CKD cases were observed in the U.K. Biobank cohort during 161 months of follow-up. The risk of CKD increased with increasing quartile levels of the Chinese Visceral Adiposity Index (CVAI) (P for trend < 0.001). CVAI was associated with increased CKD risk (hazard ratio in comparing the highest to the lowest quintile = 1.22 [95% CI 1.16-1.30]) and its predictive ability was the highest among the 10 obesity indexes, with an AUC value of 0.588 (0.581-0.594) in the female subgroup of the Binhai cohort. All of the obesity indexes were negatively correlated with estimated glomerular filtration rate (eGFR).DiscussionFindings from two large prospective cohort studies support the notion that obesity indexes, particularly CVAI, are significantly associated with the risk of CKD across diverse ethnic groups.https://www.frontiersin.org/articles/10.3389/fendo.2025.1566011/fullobesitychronic kidney diseaseChinese visceral adiposity indexobesity indexesdouble-cohort study |
| spellingShingle | Suhua Gao Suhua Gao Yixi Liu Yixi Liu Yixi Liu Hongyan Liu Hongyan Liu Yao Lin Yao Lin Pufei Bai Pufei Bai Fang Hou Shan Lu Shan Lu Saijun Zhou Saijun Zhou Haizhen Sun Haizhen Sun Guangyang Ma Guangyang Ma Hao Liu Mianzhi Zhang Zhuang Cui Pei Yu Pei Yu Association between obesity indexes and chronic kidney disease risk: a double-cohort prospective study in the Binhai and UK Biobank Frontiers in Endocrinology obesity chronic kidney disease Chinese visceral adiposity index obesity indexes double-cohort study |
| title | Association between obesity indexes and chronic kidney disease risk: a double-cohort prospective study in the Binhai and UK Biobank |
| title_full | Association between obesity indexes and chronic kidney disease risk: a double-cohort prospective study in the Binhai and UK Biobank |
| title_fullStr | Association between obesity indexes and chronic kidney disease risk: a double-cohort prospective study in the Binhai and UK Biobank |
| title_full_unstemmed | Association between obesity indexes and chronic kidney disease risk: a double-cohort prospective study in the Binhai and UK Biobank |
| title_short | Association between obesity indexes and chronic kidney disease risk: a double-cohort prospective study in the Binhai and UK Biobank |
| title_sort | association between obesity indexes and chronic kidney disease risk a double cohort prospective study in the binhai and uk biobank |
| topic | obesity chronic kidney disease Chinese visceral adiposity index obesity indexes double-cohort study |
| url | https://www.frontiersin.org/articles/10.3389/fendo.2025.1566011/full |
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