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Deng R, Chen W, Zhang Z, Zhang J, Wang Y, Sun B, Yin K, Cao J, Fan X, Zhang Y, Liu H, Fang J, Song J, Yu B, Mi J, Li X. Association Between Visceral Obesity Index and Diabetes: A Systematic Review and Meta-analysis. J Clin Endocrinol Metab 2024; 109:2692-2707. [PMID: 38709677 PMCID: PMC11403314 DOI: 10.1210/clinem/dgae303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 04/14/2024] [Accepted: 05/01/2024] [Indexed: 05/08/2024]
Abstract
CONTENT The correlation between visceral obesity index (VAI) and diabetes and accuracy of early prediction of diabetes are still controversial. OBJECTIVE This study aims to review the relationship between high level of VAI and diabetes and early predictive value of diabetes. DATA SOURCES The databases of PubMed, Cochrane, Embase, and Web of Science were searched until October 17, 2023. STUDY SELECTION After adjusting for confounding factors, the original study on the association between VAI and diabetes was analyzed. DATA EXTRACTION We extracted odds ratio (OR) between VAI and diabetes management after controlling for mixed factors, and the sensitivity, specificity, and diagnostic 4-grid table for early prediction of diabetes. DATA SYNTHESIS Fifty-three studies comprising 595 946 participants were included. The findings of the meta-analysis elucidated that in cohort studies, a high VAI significantly increased the risk of diabetes mellitus in males (OR = 2.83 [95% CI, 2.30-3.49]) and females (OR = 3.32 [95% CI, 2.48-4.45]). The receiver operating characteristic, sensitivity, and specificity of VAI for early prediction of diabetes in males were 0.64 (95% CI, .62-.66), 0.57 (95% CI, .53-.61), and 0.65 (95% CI, .61-.69), respectively, and 0.67 (95% CI, .65-.69), 0.66 (95% CI, .60-.71), and 0.61 (95% CI, .57-.66) in females, respectively. CONCLUSION VAI is an independent predictor of the risk of diabetes, yet its predictive accuracy remains limited. In future studies, determine whether VAI can be used in conjunction with other related indicators to early predict the risk of diabetes, to enhance the accuracy of prediction of the risk of diabetes.
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Affiliation(s)
- Ruixue Deng
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130000, Jilin, China
| | - Weijie Chen
- College of Traditional Chinese Medicine, The First Affiliated Hospital of Changchun University of Chinese Medicine, Changchun 130000, Jilin, China
| | - Zepeng Zhang
- Research Center of Traditional Chinese Medicine, College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130000, Jilin, China
| | - Jingzhou Zhang
- College of Traditional Chinese Medicine, The First Affiliated Hospital of Changchun University of Chinese Medicine, Changchun 130000, Jilin, China
| | - Ying Wang
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130000, Jilin, China
| | - Baichuan Sun
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130000, Jilin, China
| | - Kai Yin
- College of Integrated Chinese and Western Medicine, Changchun University of Chinese Medicine, Changchun 130000, Jilin, China
| | - Jingsi Cao
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130000, Jilin, China
| | - Xuechun Fan
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130000, Jilin, China
| | - Yuan Zhang
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130000, Jilin, China
| | - Huan Liu
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130000, Jilin, China
| | - Jinxu Fang
- College of Acupuncture and Moxibustion Massage, Changchun University of Chinese Medicine, Changchun 130000, Jilin, China
| | - Jiamei Song
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130000, Jilin, China
| | - Bin Yu
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130000, Jilin, China
| | - Jia Mi
- Department of Endocrinology, The First Affiliated Hospital of Changchun University of Chinese Medicine, Changchun 130000, Jilin, China
| | - Xiangyan Li
- Northeast Asia Research Institute of Traditional Chinese Medicine, Key Laboratory of Active Substances and Biological Mechanisms of Ginseng Efficacy, Ministry of Education, Jilin Provincial Key Laboratory of Bio-Macromolecules of Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130117, Jilin, China
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Tao X, Xu X, Xu Y, Yang Q, Yang T, Zhou X, Xue H, Ren X, Luo F. Association between physical activity and visceral adiposity index (VAI) in U.S. population with overweight or obesity: a cross-sectional study. BMC Public Health 2024; 24:2314. [PMID: 39187794 PMCID: PMC11348595 DOI: 10.1186/s12889-024-19810-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 08/16/2024] [Indexed: 08/28/2024] Open
Abstract
BACKGROUND Previous studies have revealed the effects of different physical activity (PA) types on visceral adipose tissue (VAT) accumulation in individuals with overweight/obesity. However, the independent association (especially the dose-response relationship) between PA and VAT in individuals with and without overweight/obesity remains less explored. Visceral adiposity index (VAI), calculated from waist circumference, body mass index (BMI), triglyceride and high-density lipoprotein cholesterol, is a novel indicator of VAT. This study aims to elucidate the association between PA and VAI in participants with and without overweight/obesity. METHODS Participants who are overweight or obese and with complete data on VAI, PA, and other essential covariates from the National Health and Nutrition Examination Survey (NHANES) database (2015-2018) were included in this study. PA was evaluated by the PA questionnaire and converted into metabolic equivalent task (MET) hours per week (MET-h/wk) based on the suggested MET scores. Multivariate linear regression models were used to identify the association between PA and VAI. Subgroup analyses, combined with interaction tests and restricted cubic spline (RCS) regression analyses, were utilized to explore the stability and nonlinearity of PA-VAI association, respectively. RESULTS A total of 4, 312 participants with complete data on PA and VAI was included in this study, with 3, 441 of them being overweight or obese. After adjusting for all potential covariates, increased PA was found to be significantly associated with remarkable lower level of VAI in all participants (β = -0.0004, P = 0.003), participants with (β = -0.0013, P = 0.012) and without (β = -0.0004, P = 0.003) overweight/obesity. Subgroup analyses and interaction tests revealed that the PA-VAI association was not modified by other covariates in individuals with overweight/obesity. Furthermore, RCS analyses revealed that PA was significantly, linearly and negatively associated with VAI in all participants, participants with and without overweight/obesity (all P < 0.05, all P for nonlinearity > 0.05). Noteworthily, as opposed to individuals without overweight/obesity, PA was significantly associated with lower VAI in participants with overweight/obesity after exceeding the threshold of 150 MET-h/wk. CONCLUSION Increased PA was significantly associated with lower level of VAI, but a higher level of PA (> 150 MET-h/wk) was needed to obtain significantly lower level of VAI in individuals with overweight/obesity.
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Affiliation(s)
- XiaoLiang Tao
- Department of Orthopaedics, National & Regional United Engineering Lab of Tissue Engineering, Southwest Hospital, Army Medical University, 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
| | - Xiang Xu
- Department of Cardiology, Southwest Hospital, Army Medical University, Chongqing, 400038, China
| | - YaoXin Xu
- Department of Orthopaedics, National & Regional United Engineering Lab of Tissue Engineering, Southwest Hospital, Army Medical University, 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
| | - QianKun Yang
- Department of Orthopaedics, National & Regional United Engineering Lab of Tissue Engineering, Southwest Hospital, Army Medical University, 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
| | - TaoTao Yang
- Department of Radiology, Southwest Hospital, Army Medical University, Chongqing, 400038, China
| | - Xiang Zhou
- College of Basic Medicine, Army Medical University, Cadet Brigade 4, Chongqing, 400038, China
| | - Hao Xue
- Department of Orthopaedics, National & Regional United Engineering Lab of Tissue Engineering, Southwest Hospital, Army Medical University, 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
| | - XiaoQin Ren
- Department of Orthopaedics, National & Regional United Engineering Lab of Tissue Engineering, Southwest Hospital, Army Medical University, 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
| | - Fei Luo
- Department of Orthopaedics, National & Regional United Engineering Lab of Tissue Engineering, Southwest Hospital, Army Medical University, 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
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Wu F, Cui C, Wu J, Wang Y. Association between lipid accumulation product index and chronic kidney disease: A systematic review and meta-analysis. Exp Ther Med 2024; 28:308. [PMID: 38873040 PMCID: PMC11170318 DOI: 10.3892/etm.2024.12597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 05/01/2024] [Indexed: 06/15/2024] Open
Abstract
Diabetes mellitus and lipid metabolism disorders are increasingly recognized as key contributors to the development of chronic kidney disease (CKD). The lipid accumulation product (LAP) index, a novel marker of lipid accumulation, has potential implications for CKD risk assessment. The present meta-analysis aimed to assess the association between LAP index and CKD, with an emphasis on varying impacts in diabetic and non-diabetic populations. A comprehensive search for relevant publications was performed using PubMed/MEDLINE, Scopus, Cochrane Library, ScienceDirect and Google Scholar databases, and a meta-analysis of 17 studies was performed to investigate the relationship between LAP index and CKD. The random-effects inverse-variance model employing the DerSimonian-Laird estimator for τ² was utilized to calculate pooled odds ratios (ORs). Diagnostic accuracy was assessed using summary receiver operating characteristic (ROC) curves, with calculations of the area under the ROC curve (AUROC), sensitivity, specificity, likelihood ratios and diagnostic OR. The pooled OR for the association between higher quintiles or tertiles of LAP index and CKD was 1.098 (95% CI: 1.043-1.152), with substantial heterogeneity (I²=91.2%) and evidence of publication bias. Subgroup analysis revealed a stronger association in non-diabetic (OR=2.422, 95% CI: 1.802-3.042) compared with diabetic patients (OR=1.018, 95% CI: 0.993-1.043). The diagnostic accuracy of LAP index for CKD was moderate (AUROC=0.64), with sensitivity and specificity estimates of 0.58 and 0.63, respectively. In conclusion, in the present study, LAP index demonstrated a modest but significant association with CKD, particularly in non-diabetic patients. Despite its moderate diagnostic accuracy, the LAP index could serve as a valuable tool in CKD risk stratification, particularly when integrated with other clinical markers.
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Affiliation(s)
- Feixiang Wu
- Department of Endocrinology and Nephrology, Hangzhou Linping District Hospital of Integrated Traditional Chinese and Western Medicine, Hangzhou, Zhejiang 311199, P.R. China
| | - Chenmin Cui
- Department of Internal Medicine, Huzhou Traditional Chinese Medicine Hospital Affiliated to Zhejiang Chinese Medical University, Huzhou, Zhejiang 313000, P.R. China
| | - Junping Wu
- Department of Endocrinology and Nephrology, Hangzhou Linping District Hospital of Integrated Traditional Chinese and Western Medicine, Hangzhou, Zhejiang 311199, P.R. China
| | - Yunqing Wang
- Department of Endocrinology and Nephrology, Hangzhou Linping District Hospital of Integrated Traditional Chinese and Western Medicine, Hangzhou, Zhejiang 311199, P.R. China
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Liang D, Liu C, Yang M. The association of visceral adiposity index with the risk of kidney stone and kidney stone recurrence. BMC Nephrol 2023; 24:368. [PMID: 38087224 PMCID: PMC10717979 DOI: 10.1186/s12882-023-03421-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Accepted: 12/02/2023] [Indexed: 12/18/2023] Open
Abstract
AIM Our aim in this study was primarily to assess the relationship between visceral adiposity index (VAI) and the risk of kidney stones and kidney stone recurrence in US adults. METHODS We used data from the National Health and Nutrition Examination Survey (NHANES) 2007-2014 for our analysis. VAI was calculated from waist circumference (WC), body mass index (BMI), triglycerides (TG), and high-density lipoprotein-cholesterol (HDL-C). Kidney stones and recurrence of kidney stones were obtained from questionnaire interview data. We used multivariate logistic regression analysis to explore the correlation between VAI and the risk of kidney stone and kidney stone recurrence. In addition, we performed subgroup analysis, interaction tests, and restricted cubic spline (RCS) analysis. RESULTS A total of 9886 participants were included in this study, with a prevalence of 9.24% for kidney stones and 2.97% for recurrence of kidney stones. The prevalence of kidney stones and kidney stone recurrence increased with higher quartiles of VAI. We observed a significantly positive correlation between VAI and the risk of kidney stone and kidney stone recurrence. Participants with the highest VAI quartiles had a 48% (OR: 1.48, 95%CI: 1.08-2.02) and 52% (OR: 1.52, 95%CI: 0.86-2.71) increased risk of kidney stones and kidney stone recurrence, respectively, compared to participants with the lowest VAI quartiles. Subgroup analysis and interaction tests demonstrated this positive association independent of different subgroup factors. CONCLUSION Visceral fat accumulation may be associated with an increased risk of kidney stones and kidney stone recurrence.
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Affiliation(s)
- Dan Liang
- Department of Endocrine, People's Hospital of Chongqing Liang Jiang New Area, Chongqing, China
- The West China College of Medicine, Sichuan University, Chengdu, China
| | - Chang Liu
- School of Medicine, Nankai University, Tianjin, China
| | - Mei Yang
- Department of Endocrine, People's Hospital of Chongqing Liang Jiang New Area, Chongqing, China.
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