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Wang M, Wen CP, Pan J, Sun G, Chu DTW, Tu H, Li W, Wu X. Chinese visceral adiposity index outperforms other obesity indexes in association with increased overall cancer incidence: findings from prospective MJ cohort study. Br J Cancer 2025:10.1038/s41416-025-03041-1. [PMID: 40346173 DOI: 10.1038/s41416-025-03041-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Revised: 04/14/2025] [Accepted: 04/23/2025] [Indexed: 05/11/2025] Open
Abstract
BACKGROUND We assessed the associations of visceral adiposity indexes such as Chinese Visceral Adiposity Index (CVAI), Visceral Adiposity Index (VAI), Lipid Accumulation Product (LAP), waist circumference (WC), and waist-hip ratio (WHR) with overall and specific cancer incidence in a Chinese population. METHODS 332,297 individuals from the Taiwan MJ cohort (1996-2007) were included. We utilized multivariable Cox proportional hazards models to examine associations of baseline visceral adiposity indexes and cancer incidences. Sex-specific CVAI, VAI, and LAP were calculated, incorporating WC and triglycerides levels. CVAI and VAI also included body mass index and high-density lipoprotein, with CVAI further incorporating age. RESULTS Higher CVAI was consistently associated with higher overall cancer incidence, with HRs of 1.45 (95% CI: 1.2-1.76) and 2.03 (95% CI: 1.52-2.72) for males and females, respectively, comparing the fifth quintile to the first. The HRs for WC were 1.27 (95% CI: 1.08-1.49) and 1.19 (95% CI: 1.01-1.40) for males and females, WHR was significantly associated with cancer risk in males (HR:1.28; 95% CI: 1.13-1.45), and LAP was significantly associated with cancer risk in females (HR: 1.25; 95% CI: 1.04-1.5). VAI was not associated with overall cancer incidence. DISCUSSION CVAI is a superior clinical biomarker for predicting cancer incidence in the Chinese population compared to traditional visceral obesity indices.
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Affiliation(s)
- Mengying Wang
- Center of Clinical Big Data and Analytics of School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Chi Pang Wen
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
- Graduate Institute of Biomedical Sciences, College of Medicine, China Medical University, Taichung, Taiwan
| | - Junlong Pan
- Center of Clinical Big Data and Analytics of School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Gege Sun
- Center of Clinical Big Data and Analytics of School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | | | - Huakang Tu
- Center of Clinical Big Data and Analytics of School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Wenyuan Li
- Center of Clinical Big Data and Analytics of School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Xifeng Wu
- Center of Clinical Big Data and Analytics of School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
- Zhejiang Key Laboratory of Intelligent Preventive Medicine, Hangzhou, 310058, Zhejiang, China.
- National Institute for Data Science in Health and Medicine, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
- School of Medicine and Health Science, George Washington University, Washington, DC, USA.
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Yang D, Zhou J, Garstka MA, Xu Q, Li Q, Wang L, Ren L, Ji Q, Liu T. Association of obesity- and insulin resistance-related indices with subclinical carotid atherosclerosis in type 1 diabetes: a cross-sectional study. Cardiovasc Diabetol 2025; 24:193. [PMID: 40319311 PMCID: PMC12049799 DOI: 10.1186/s12933-025-02736-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2024] [Accepted: 04/09/2025] [Indexed: 05/07/2025] Open
Abstract
BACKGROUND Obesity and insulin resistance are well-established risk factors for atherosclerosis and cardiovascular disease (CVD). Although some obesity- and insulin resistance-related indices (OIRIs) have been linked to CVD, their associations with subclinical carotid atherosclerosis (SCA) in individuals with type 1 diabetes (T1D) remain unclear. This study aims to systematically explore and compare the associations of various common OIRIs with SCA in T1D population. METHODS A total of 418 adult inpatients with classic T1D admitted from October 2008 to June 2021 to the First Affiliated Hospital of Air Force Medical University in Xi'an, China were included in this study. Demographic, anthropometric, and laboratory data were collected. Studied OIRIs comprised body mass index, waist-to-height ratio, waist-to-hip ratio (WHR), a body shape index, abdominal volume index, body adiposity index, body roundness index, conicity index, triglyceride-glucose index, visceral adiposity index, Chinese visceral adiposity index (CVAI), lipid accumulation product, estimated glucose disposal rate (eGDR), triglyceride-to-HDL ratio, and cardiometabolic index. Binary logistic regression, restricted cubic spline (RCS), and receiver operating characteristic curves were used to examine the associations of these indices with SCA. RESULTS In multivariable logistic regression analyses, after adjusting for potential confounders, per 1.0-standard deviation (SD) increase in CVAI (OR, 95% CI: 1.68, 1.16-2.47), eGDRWHR (eGDR calculated with WHR; OR, 95% CI: 0.44, 0.22-0.82), and eGDRWC (eGDR calculated with waist circumference; OR, 95% CI: 0.49, 0.24-0.93) were significantly associated with SCA. CVAI exhibited the highest area under the curve (AUC) in diagnosing SCA, with a value of 0.73 (95% CI: 0.69-0.77). RCS analyses indicated a linear and positive association between CVAI and SCA in the overall population and the females. Subgroup analyses and sensitivity analyses further supported the association between CVAI and SCA. Additionally, adding CVAI to the Steno Type 1 Risk Engine (ST1RE) improved the reclassification, but did not enhance the overall discriminative ability of ST1RE to identify SCA. CONCLUSION Among various OIRIs, CVAI shows the strongest association with SCA in adults with T1D. These findings suggest that CVAI may merit further longitudinal investigation as a potential marker for SCA assessment in this population.
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Affiliation(s)
- Dongli Yang
- Department of Endocrinology and Metabolism, The First Affiliated Hospital of Air Force Medical University, Xi'an, 710032, Shaanxi, China
- Department of Endocrinology and Metabolism, Xi'an International Medical Center Hospital of Northwest University, Xi'an, 710100, Shaanxi, China
| | - Jie Zhou
- Department of Endocrinology and Metabolism, The First Affiliated Hospital of Air Force Medical University, Xi'an, 710032, Shaanxi, China
| | - Malgorzata A Garstka
- Department of Endocrinology, Core Research Laboratory, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, Shaanxi, China
| | - Qian Xu
- Department of Endocrinology and Metabolism, Xi'an International Medical Center Hospital of Northwest University, Xi'an, 710100, Shaanxi, China
| | - Qiaoyue Li
- Department of Endocrinology and Metabolism, The First Affiliated Hospital of Air Force Medical University, Xi'an, 710032, Shaanxi, China
| | - Li Wang
- Department of Endocrinology and Metabolism, The First Affiliated Hospital of Air Force Medical University, Xi'an, 710032, Shaanxi, China
| | - Lijun Ren
- Department of Endocrinology and Metabolism, Xi'an International Medical Center Hospital of Northwest University, Xi'an, 710100, Shaanxi, China
| | - Qiuhe Ji
- Department of Endocrinology and Metabolism, Xi'an International Medical Center Hospital of Northwest University, Xi'an, 710100, Shaanxi, China.
| | - Tao Liu
- Department of Endocrinology and Metabolism, Xi'an International Medical Center Hospital of Northwest University, Xi'an, 710100, Shaanxi, China.
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Wu Z, Huang Z, Sun L, Fu Y, Chen S, Wu S, Gao X. Neck circumference, waist-to-height ratio, Chinese visceral adiposity index and incident heart failure. Nutr J 2024; 23:149. [PMID: 39609796 PMCID: PMC11604003 DOI: 10.1186/s12937-024-01048-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2024] [Accepted: 11/13/2024] [Indexed: 11/30/2024] Open
Abstract
BACKGROUND The indicators of abdominal obesity have shown to be associated with a high risk of cardiovascular diseases (CVDs), even adjusted for body mass index (BMI). We aimed to investigate the association between neck circumference, waist-to-height ratio (WHtR), Chinese visceral adiposity index (CVAI) and incident heart failure (HF) in Chinese adults. METHODS The current study included 86,546 participants from two independent cohorts: the Kailuan I study established in 2006 and the Kailuan study II established in 2008. Participants aged 18-80 years who were free of CVDs or cancer were recruited at baseline. The values of neck circumference, WHtR and CVAI were available in 2014. The trajectory analysis was conducted using repeated measures of WHtR and CVAI in the 2008, 2010, 2012 and 2014 surveys. The incident HF cases were identified via reviewing medical records by cardiologists. RESULTS During a mean follow-up of 5.62 years, 724 incident HF cases were documented. The highest quartiles of neck circumference, WHtR and CVAI respectively, were significantly associated with a high risk of HF compared to the lowest quartiles of adiposity measures (neck circumference: HR:1.30, 95%CI: 1.03-1.65; WHtR: HR:1.49, 95%CI: 1.16-1.92; and CVAI: HR:1.98, 95%CI: 1.48-2.65). The combination of adiposity measures with BMI or metabolic abnormalities jointly predicted incident HF. Presence of hypertension and diabetes appeared to be the major mediators, accounting for ∼ 8.11-24.7% of the associations between three indicators of abdominal obesity and HF risk. CONCLUSION The new indices of abdominal adiposity could help to identify those who were at a high risk of HF, especially in the presence of high BMI or metabolic abnormalities.
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Affiliation(s)
- Zhijun Wu
- Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Zhe Huang
- Department of Cardiology, Kailuan General Hospital, 57 Xinhua East Rd, Tangshan, 063000, People's Republic of China
| | - Liang Sun
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, 130 Dongan Rd, Shanghai, 200032, People's Republic of China
| | - Yuang Fu
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, 130 Dongan Rd, Shanghai, 200032, People's Republic of China
| | - Shuohua Chen
- Department of Cardiology, Kailuan General Hospital, 57 Xinhua East Rd, Tangshan, 063000, People's Republic of China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, 57 Xinhua East Rd, Tangshan, 063000, People's Republic of China.
| | - Xiang Gao
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, 130 Dongan Rd, Shanghai, 200032, People's Republic of China.
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Liu L, Peng J, Zang D, Zhang Y, Wu Z, Song C, Chen S, Guo D, Lu F, Zheng T, Yang J. The Chinese visceral adiposity index: a novel indicator more closely related to cardiovascular disease than other abdominal obesity indices among postmenopausal women. J Transl Med 2024; 22:855. [PMID: 39313824 PMCID: PMC11421114 DOI: 10.1186/s12967-024-05665-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 09/04/2024] [Indexed: 09/25/2024] Open
Abstract
BACKGROUND Several abdominal obesity indices including waist circumference (WC), waist-hip ratio (WHR), visceral adiposity index (VAI), lipid accumulation product (LAP), and Chinese visceral adiposity index (CVAI) were considered effective and useful predictive markers for cardiovascular disease (CVD) in general populations or diabetic populations. However, studies investigating the associations between these indices among postmenopausal women are limited. Our study aimed to investigate the associations of the five indices with incident CVD and compare the predictive performance of CVAI with other abdominal obesity indices among postmenopausal women. METHODS A total of 1252 postmenopausal women without CVD at baseline were analyzed in our investigation based on a 10-year follow-up prospective cohort study. Link of each abdominal obesity index with CVD were assessed by the Cox regression analysis and the Kaplan-Meier curve. The receiver operating characteristic (ROC) curves were drawn to compare the predictive ability for CVD. RESULTS During the median follow-up of 120.53 months, 121 participants newly developed CVD. Compared to quartile 1 of LAP and CVAI, quartile 4 had increased risk to develop CVD after fully adjusted among postmenopausal women. When WC, VAI and CVAI considered as continuous variables, significant increased hazard ratios (HRs) for developing CVD were observed. The areas under the curve (AUC) of CVAI (0.632) was greatly higher than other indices (WC: 0.580, WHR: 0.538, LAP: 0.573, VAI: 0.540 respectively). CONCLUSIONS This study suggested that the abdominal obesity indices were associated with the risk of CVD excluded WHR and highlighted that CVAI might be the most valuable abdominal obesity indicator for identifying the high risk of CVD in Chinese postmenopausal women.
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Affiliation(s)
- Li Liu
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Department of Cardiology, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Qilu Hospital of Shandong University, No 107, Wenhuaxi Road, Jinan, Shandong, China
| | - Jie Peng
- Key Laboratory of Cardiovascular Proteomics of Shandong Province, Department of Geriatric Medicine, Qilu Hospital of Shandong University, Jinan, China
| | - Dejin Zang
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Department of Cardiology, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Qilu Hospital of Shandong University, No 107, Wenhuaxi Road, Jinan, Shandong, China
| | - Yerui Zhang
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Department of Cardiology, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Qilu Hospital of Shandong University, No 107, Wenhuaxi Road, Jinan, Shandong, China
| | - Zhenguo Wu
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Department of Cardiology, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Qilu Hospital of Shandong University, No 107, Wenhuaxi Road, Jinan, Shandong, China
| | - Chunfei Song
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Department of Cardiology, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Qilu Hospital of Shandong University, No 107, Wenhuaxi Road, Jinan, Shandong, China
| | - Sha Chen
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Department of Cardiology, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Qilu Hospital of Shandong University, No 107, Wenhuaxi Road, Jinan, Shandong, China
| | - Dachuan Guo
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Department of Cardiology, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Qilu Hospital of Shandong University, No 107, Wenhuaxi Road, Jinan, Shandong, China
| | - Fanghong Lu
- Cardio-Cerebrovascular Control and Research Center, Shandong Academy of Medical Sciences, Jinan, China
| | - Tengfei Zheng
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Department of Cardiology, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Qilu Hospital of Shandong University, No 107, Wenhuaxi Road, Jinan, Shandong, China.
| | - Jianmin Yang
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Department of Cardiology, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Qilu Hospital of Shandong University, No 107, Wenhuaxi Road, Jinan, Shandong, China.
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Wen S, Huang X, Huang Z, Zhang X, Dai C, Han F, Zheng W, Wang F, Chen S, Zhang B, Huang Y. The association of changes in the Chinese visceral adiposity index and cardiometabolic diseases: a cohort study. Diabetol Metab Syndr 2024; 16:228. [PMID: 39272152 PMCID: PMC11401298 DOI: 10.1186/s13098-024-01460-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Accepted: 08/29/2024] [Indexed: 09/15/2024] Open
Abstract
OBJECTIVE The relationship between changes in Chinese visceral adiposity index (CVAI) and cardiometabolic diseases (CMD) in middle-aged and elderly individuals remains unclear. This study aimed to explore whether changes in the CVAI were associated with CMD incidence. METHODS This study included 3,243 individuals aged over 45 years from the China Health and Retirement Longitudinal Study. The exposures were changes in the CVAI and cumulative CVAI from 2012 to 2015. Changes in the CVAI were classified using K-means clustering analysis, and the cumulative CVAI was calculated as follows: (CVAI2012 + CVAI2015)/2 × time (2015-2012). Multivariable logistic regression models were used to assess the relationship between different CVAI change classes and CMD incidence. Restricted cubic splines regression was used to assess the dose-response relationship between cumulative CVAI and CMD incidence. To investigate the relationship between combined exposure to each component of CAVI and CMD incidence, a weighted quantile sum regression analysis was employed. RESULTS During the 5 years of follow-up, 776 (24%) incident CMD cases were identified. Changes in CVAI and cumulative CVAI were independently and positively associated with CMD. After adjusting for potential confounders, compared with Class 1, the adjusted ORs (95% CIs) for incident CMD were 1.18 (0.90-1.57) for Class 2, 1.40 (1.03-1.92) for Class 3, and 1.56 (1.04-2.34) for Class 4. When cumulative CVAI was categorized into quartiles, compared with Q1, the adjusted ORs (95% CIs) for incident CMD were 1.30 (1.00-1.70) for Q2, 1.34 (1.01-1.79) for Q3, and 1.63 (1.15-2.31) for Q4. In addition, cumulative CVAI in the overall population exhibited a linear association with CMD (Poverall = 0.012, Pnon-linearity = 0.287), diabetes (Poverall = 0.022, Pnon-linearity = 0.188), and stroke (Poverall = 0.002, Pnon-linearity = 0.978), but showed no significant association with heart disease (Poverall = 0.619, Pnon-linearity = 0.442). CONCLUSION Participants with higher baseline CVAI level and a change of elevating CVAI level may suffer an increased incidence of CMD. Furthermore, our findings elucidate the underlying mechanisms of the CVAI by highlighting TG as the primary contributor to the observed associations. Long-term CVAI monitoring is of significant importance for early identification and prevention of CMD, with significant implications for clinical practice.
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Affiliation(s)
- Song Wen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, Guangdong, China
| | - Xingjie Huang
- Department of Cardiology, The Second Affiliated Hospital of Guilin Medical University, Guilin, 541000, Guangxi, China
| | - Zehan Huang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, Guangdong, China
| | - Xinjie Zhang
- Graduate School of Chengde Medical University, Chengde, 067000, Hebei, China
- Department of Surgical Urology, Hebei Province Xingtai People's Hospital, Xingtai, 054031, Hebei, China
| | - Chang Dai
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, Guangdong, China
- Guangdong Provincial Key Laboratory of Clinical Pharmacology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong, China
| | - Feihuang Han
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, Guangdong, China
| | - Weidong Zheng
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, Guangdong, China
| | - Feng Wang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, Guangdong, China
| | - Shubo Chen
- Graduate School of Chengde Medical University, Chengde, 067000, Hebei, China
- Department of Surgical Urology, Hebei Province Xingtai People's Hospital, Xingtai, 054031, Hebei, China
| | - Bin Zhang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, Guangdong, China.
| | - Yuqing Huang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, Guangdong, China.
- Hypertension Laboratory, Department of Cardiology, Guangdong Provincial People's Hospital, Guangdong Cardiovascular Institute, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, Guangdong, China.
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Ren Y, Hu Q, Li Z, Zhang X, Yang L, Kong L. Dose-response association between Chinese visceral adiposity index and cardiovascular disease: a national prospective cohort study. Front Endocrinol (Lausanne) 2024; 15:1284144. [PMID: 38699393 PMCID: PMC11063397 DOI: 10.3389/fendo.2024.1284144] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 01/26/2024] [Indexed: 05/05/2024] Open
Abstract
Background Chinese visceral adiposity index (CVAI) is a reliable visceral obesity index, but the association between CVAI and risk of cardiovascular disease (CVD) remains unclear. We explored the associations of CVAI with incident CVD, heart disease, and stroke and compared the predictive power of CVAI with other obesity indices based on a national cohort study. Methods The present study included 7,439 participants aged ≥45 years from China Health and Retirement Longitudinal Study (CHARLS). Cox regression models were applied to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). Restricted cubic splines analyses were adopted to model the dose-response associations. Receiver operator characteristic (ROC) analyses were used to compare the predictive ability of different obesity indices (CVAI, visceral adiposity index [VAI], a body shape index [ABSI], conicity index [CI], waist circumference [WC], and body mass index [BMI]). Results During 7 years' follow-up, 1,326 incident CVD, 1,032 incident heart disease, and 399 stroke cases were identified. The HRs (95% CI) of CVD, heart disease, and stroke were 1.50 (1.25-1.79), 1.29 (1.05-1.57), and 2.45 (1.74-3.45) for quartile 4 versus quartile 1 in CVAI. Linear associations of CVAI with CVD, heart disease, and stroke were observed (P nonlinear >0.05) and per-standard deviation (SD) increase was associated with 17% (HR 1.17, 1.10-1.24), 12% (1.12, 1.04-1.20), and 31% (1.31, 1.18-1.46) increased risk, respectively. Per-SD increase in CVAI conferred higher risk in participants aged<60 years than those aged ≥60 years (P interaction<0.05). ROC analyses showed that CVAI had higher predictive value than other obesity indices (P<0.05). Conclusions CVAI was linearly associated with risk of CVD, heart disease, and stroke and had best performance for predicting incident CVD. Our findings indicate CVAI as a reliable and applicable obesity index to identify higher risk of CVD.
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Affiliation(s)
- Yongcheng Ren
- Henan Provincial Key Laboratory of Digital Medicine, Affiliated Central Hospital of Huanghuai University, Zhumadian, He’nan, China
- Institute of Health Data Management, Huanghuai University, Zhumadian, He’nan, China
| | - Qing Hu
- Institute of Health Data Management, Huanghuai University, Zhumadian, He’nan, China
| | - Zheng Li
- Institute of Health Data Management, Huanghuai University, Zhumadian, He’nan, China
| | - Xiaofang Zhang
- Institute of Health Data Management, Huanghuai University, Zhumadian, He’nan, China
| | - Lei Yang
- Institute of Health Data Management, Huanghuai University, Zhumadian, He’nan, China
| | - Lingzhen Kong
- Henan Provincial Key Laboratory of Digital Medicine, Affiliated Central Hospital of Huanghuai University, Zhumadian, He’nan, China
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Wu X, Wang C, Lv D, Chen B, Wu Y, Wu X, Yang Y, Cui J, Xu W, Yang H, Song L, He W, Zhang Y, Guan H, Xie F, Xie W, Shang Q, Zhao Z, Li X. Associations between Chinese visceral adiposity index and risks of all-cause and cause-specific mortality: A population-based cohort study. Diabetes Obes Metab 2024; 26:1264-1272. [PMID: 38164799 DOI: 10.1111/dom.15424] [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: 10/19/2023] [Revised: 12/05/2023] [Accepted: 12/12/2023] [Indexed: 01/03/2024]
Abstract
AIM To determine the associations between the Chinese visceral adiposity index (CVAI) and the risks of all-cause and cause-specific mortality. MATERIALS AND METHODS A total of 3 916 214 Chinese adults were enrolled in a nationwide population cohort covering all 31 provinces of mainland China. The CVAI was calculated based on age, body mass index, waist circumference, and triglyceride and high-density lipoprotein cholesterol concentrations. We used a Cox proportional hazards regression model to determine the hazard ratios and 95% confidence intervals (CIs) for risk of mortality associated with different CVAI levels. RESULTS The median follow-up duration was 3.8 years. A total of 86 158 deaths (34 867 cardiovascular disease [CVD] deaths, 29 884 cancer deaths, and 21 407 deaths due to other causes) were identified. In general, after adjusting for potential confounding factors, a U-shaped relationship between CVAI and all-cause mortality was observed by restricted cubic spline (RCS). Compared with participants in CVAI quartile 1, those in CVAI quartile 4 had a 23.0% (95% CI 20.0%-25.0%) lower risk of cancer death, but a 23.0% (95% CI 19.0-27.0) higher risk of CVD death. In subgroup analysis, a J-shaped and inverted U-shaped relationship for all-cause mortality and cancer mortality was observed in the group aged < 60 years. CONCLUSIONS The CVAI, an accessible indicator reflecting visceral obesity among Chinese adults, has predictive value for all-cause, CVD, and cancer mortality risks. Moreover, the CVAI carries significance in the field of health economics and secondary prevention. In the future, it could be used for early screening purposes.
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Affiliation(s)
- Xiaoyan Wu
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Chunqi Wang
- National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Deliang Lv
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Bowang Chen
- National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yi Wu
- National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaobing Wu
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Yang Yang
- National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jianlan Cui
- National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wei Xu
- National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hao Yang
- National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lijuan Song
- National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wenyan He
- National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yan Zhang
- National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hongyun Guan
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Fengzhu Xie
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Wei Xie
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Qinggang Shang
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Zhiguang Zhao
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Xi Li
- National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Central China Sub-center of the National Center for Cardiovascular Diseases, Zhengzhou, China
- Shenzhen Center for Cardiovascular Diseases, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, China
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Liu L, Peng J, Wang N, Wu Z, Zhang Y, Cui H, Zang D, Lu F, Ma X, Yang J. Comparison of seven surrogate insulin resistance indexes for prediction of incident coronary heart disease risk: a 10-year prospective cohort study. Front Endocrinol (Lausanne) 2024; 15:1290226. [PMID: 38323107 PMCID: PMC10844492 DOI: 10.3389/fendo.2024.1290226] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 01/08/2024] [Indexed: 02/08/2024] Open
Abstract
Background There were seven novel and easily accessed insulin resistance (IR) surrogates established, including the Chinese visceral adiposity index (CVAI), the visceral adiposity index (VAI), lipid accumulation product (LAP), triglyceride glucose (TyG) index, TyG-body mass index (TyG-BMI), TyG-waist circumference (TyG-WC) and TyG-waist to height ratio (TyG-WHtR). We aimed to explore the association between the seven IR surrogates and incident coronary heart disease (CHD), and to compare their predictive powers among Chinese population. Methods This is a 10-year prospective cohort study conducted in China including 6393 participants without cardiovascular disease (CVD) at baseline. We developed Cox regression analyses to examine the association of IR surrogates with CHD (hazard ratio [HR], 95% confidence intervals [CI]). Moreover, the receiver operating characteristic (ROC) curve was performed to compare the predictive values of these indexes for incident CHD by the areas under the ROC curve (AUC). Results During a median follow-up period of 10.25 years, 246 individuals newly developed CHD. Significant associations of the IR surrogates (excepted for VAI) with incident CHD were found in our study after fully adjustment, and the fifth quintile HRs (95% CIs) for incident CHD were respectively 2.055(1.216-3.473), 1.446(0.948-2.205), 1.753(1.099-2.795), 2.013(1.214-3.339), 3.169(1.926-5.214), 2.275(1.391-3.719) and 2.309(1.419-3.759) for CVAI, VAI, LAP, TyG, TyG-BMI, TyG-WC and TyG-WHtR, compared with quintile 1. Furthermore, CVAI showed maximum predictive capacity for CHD among these seven IR surrogates with the largest AUC: 0.632(0.597,0.667). Conclusion The seven IR surrogates (excepted for VAI) were independently associated with higher prevalence of CHD, among which CVAI is the most powerful predictor for CHD incidence in Chinese populations.
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Affiliation(s)
- Li Liu
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Jie Peng
- Department of Geriatric Medicine, Qilu Hospital of Shandong University, Key Laboratory of Cardiovascular Proteomics of Shandong Province, Jinan, China
| | - Ning Wang
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Zhenguo Wu
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Yerui Zhang
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Huiliang Cui
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Dejin Zang
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Fanghong Lu
- Cardio-Cerebrovascular Control and Research Center, Shandong Academy of Medical Sciences, Jinan, China
| | - Xiaoping Ma
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
- Department of Obstetrics and Gynecology, LiaoCheng People’s Hospital, Liaocheng, China
| | - Jianmin Yang
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
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9
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Xiao D, Sun H, Chen L, Li X, Huo H, Zhou G, Zhang M, He B. Assessment of six surrogate insulin resistance indexes for predicting cardiometabolic multimorbidity incidence in Chinese middle-aged and older populations: Insights from the China health and retirement longitudinal study. Diabetes Metab Res Rev 2024; 40:e3764. [PMID: 38287717 DOI: 10.1002/dmrr.3764] [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: 08/11/2023] [Revised: 10/27/2023] [Accepted: 11/21/2023] [Indexed: 01/31/2024]
Abstract
AIMS Insulin resistance (IR) is associated with cardiometabolic multimorbidity (CMM). We aimed to explore the predictive value of six surrogate IR indexes-Chinese visceral adiposity index (CVAI), lipid accumulation product (LAP), triglyceride-glucose (TyG), atherogenic index of plasma (AIP), TyG-body mass index (TyGBMI), and TyG-waist circumference (TyGwaist)-to establish the CMM incidence in Chinese middle-aged and older populations. MATERIAL AND METHODS To estimate the odds ratio (OR) with a 95% confidence interval (95% CI) for incident CMM using six surrogates, we analysed data from the China Health and Retirement Longitudinal Study using multivariate logistic regression models. The nonlinear dose-response correlation was evaluated using restricted cubic spline analysis; predictive performance was assessed using receiver operator characteristic curves. RESULTS Among 6451 eligible participants, 268 (4.2%) developed CMM during the 4-year follow-up period. The ORs (95% CI) for incident CMM increased with increasing CVAI quartiles (Q) [Q2: 1.71, 1.03-2.90; Q3: 2.72, 1.70-4.52; Q4: 5.16, 3.29-8.45; all p < 0.05] after full adjustment, with Q1 as the reference. Other indexes yielded similar results. These associations remained significant in individuals with a normal body mass index. Notably, CVAI, AIP, and TyG exhibited a linear dose-response relationship with CMM (Pnonlinear ≥0.05), whereas LAP, TyGBMI, and TyGwaist displayed significant nonlinear correlations (Pnonlinear <0.05). The area under the curve for the CVAI (0.691) was significantly superior to that of other indexes (all p < 0.05). CONCLUSIONS The six IR surrogates were independently associated with CMM incidence. CVAI may be the most appropriate indicator for predicting CMM in middle-aged and older Chinese populations.
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Affiliation(s)
- Danrui Xiao
- Department of Cardiology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Honglin Sun
- Department of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Long Chen
- Department of Cardiology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiang Li
- Department of Cardiology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huanhuan Huo
- Department of Cardiology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guo Zhou
- Department of Cardiology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Min Zhang
- Department of Cardiology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ben He
- Department of Cardiology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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10
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Xu L, Chen S, Xu J, Shi Y, Huang Z, Wang M, Wei Z, Cao H, Zhou J, Wang W, Du M. Association of Chinese visceral adiposity index with clinical outcome in patients after endovascular thrombectomy. J Stroke Cerebrovasc Dis 2024; 33:107464. [PMID: 37931482 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107464] [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: 08/21/2023] [Revised: 10/17/2023] [Accepted: 10/31/2023] [Indexed: 11/08/2023] Open
Abstract
BACKGROUND AND PURPOSE The Chinese Visceral Adiposity Index (CVAI) is a reliable indicator of visceral adiposity dysfunction in the Chinese population. We aimed to evaluate the association between CVAI and clinical outcome in Chinese ischemic stroke patients who received endovascular thrombectomy (EVT). METHODS This study retrospectively included patients with large vessel occlusive stroke receiving EVT treatment in 2 China stroke centers. Baseline CVAI was calculated after admission. Patients with a modified Rankin scale score ≥ 3 at 3 months after ischemic stroke were defined as poor outcome. Binary multivariate logistic regression models were utilized to explore the association between CVAI and the risk of 90-day unfavorable outcome. RESULTS A total of 453 patients (mean age, 70.4 ± 12.1 years; 280 male) were included. During the 90-day follow-up, 236 (52.1 %) patients experienced poor outcome. After multivariable adjustment for potential confounders, increasing CVAI was associated with an increased risk of 90-day poor outcome (odds ratios, per-standard deviation increase: 1.521; 95 % confidence interval, 1.127-2.052; P = 0.006). Similar significant results were observed when the CVAI was analyzed as a categorical variable. Furthermore, the multiple-adjusted spline regression model showed an inverted J-shape association between CVAI and risk of unfavorable outcome (P = 0.048 for non-linearity). CONCLUSIONS This study demonstrated that CVAI is positively correlated with 90-day poor outcome in Chinese ischemic stroke patients after EVT.
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Affiliation(s)
- Lili Xu
- Cerebrovascular Disease Center, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Shuaiyu Chen
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu 210000, China
| | - Jing Xu
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu 210000, China
| | - Yanyan Shi
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu 210000, China
| | - Zhihang Huang
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu 210000, China
| | - Meng Wang
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu 210000, China
| | - Ziqiao Wei
- The Second Clinical Medical School of Nanjing Medical University, Nanjing, Jiangsu 210000, China
| | - Hui Cao
- Cerebrovascular Disease Center, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Junshan Zhou
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu 210000, China
| | - Wei Wang
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu 210000, China.
| | - Mingyang Du
- Cerebrovascular Disease Center, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
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11
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Ren Y, Cheng L, Qie R, Han M, Kong L, Yan W, Li Z, Li Y, Lei Y. Dose-response association of Chinese visceral adiposity index with comorbidity of hypertension and diabetes mellitus among elderly people. Front Endocrinol (Lausanne) 2023; 14:1187381. [PMID: 37251669 PMCID: PMC10213325 DOI: 10.3389/fendo.2023.1187381] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 04/27/2023] [Indexed: 05/31/2023] Open
Abstract
Background Chinese visceral adiposity index (CVAI) is a reliable indicator of visceral obesity, but little is known about the association of CVAI with comorbidity of hypertension (HTN) and diabetes mellitus (DM). This study aimed to explore the associations of CVAI with HTN-DM comorbidity, HTN or DM, HTN, and DM in elderly people and evaluate the mediating role of insulin resistance in the associations. Methods A total of 3,316 Chinese participants aged ≥60 years were included in this cross-sectional study. Logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Restricted cubic splines were applied to explore the dose-response associations. Mediation analyses were used to assess the mediating effect of triglyceride-glucose (TyG) index in the associations. Results The prevalence rate of HTN-DM comorbidity, HTN or DM, HTN, and DM was 13.78%, 72.26%, 67.16%, and 18.88%, respectively. Linear associations between CVAI and HTN-DM comorbidity, HTN or DM, HTN, and DM were found, and ORs (95%CIs) were 1.45 (1.30-1.61), 1.39 (1.28-1.52), 1.36 (1.25-1.48), and 1.28 (1.16-1.41) for per SD increase in CVAI. Compared with quartile 1 of CVAI, the risk of HTN-DM comorbidity, HTN or DM, HTN, and DM increased 190%, 125%, 112%, and 96% for quartile 4. In addition, we found TyG index playing a key role in the associations of CVAI with HTN-DM comorbidity, HTN or DM, and DM. Conclusion CVAI is linearly and positively correlated with HTN-DM comorbidity, HTN or DM, HTN, and DM. The potential mechanism is insulin resistance largely mediating the associations.
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Affiliation(s)
- Yongcheng Ren
- Institute of Health Data Management, Huanghuai University, Zhumadian, He’nan, China
- Affiliated Hospital of Huanghuai University, Zhumadian Central Hospital, Zhumadian, He’nan, China
- Jiyuan Center for Disease Control and Prevention, Jiyuan, He’nan, China
| | - Lulu Cheng
- Affiliated Hospital of Huanghuai University, Zhumadian Central Hospital, Zhumadian, He’nan, China
| | - Ranran Qie
- Department of Cancer Prevention and Control, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Minghui Han
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Lingzhen Kong
- Affiliated Hospital of Huanghuai University, Zhumadian Central Hospital, Zhumadian, He’nan, China
| | - Wei Yan
- Affiliated Hospital of Huanghuai University, Zhumadian Central Hospital, Zhumadian, He’nan, China
| | - Zheng Li
- Institute of Health Data Management, Huanghuai University, Zhumadian, He’nan, China
| | - Yiduo Li
- Institute of Health Data Management, Huanghuai University, Zhumadian, He’nan, China
| | - Yicun Lei
- Institute of Health Data Management, Huanghuai University, Zhumadian, He’nan, China
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12
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Antonio-Villa NE, Juárez-Rojas JG, Posadas-Sánchez R, Reyes-Barrera J, Medina-Urrutia A. Visceral adipose tissue is an independent predictor and mediator of the progression of coronary calcification: a prospective sub-analysis of the GEA study. Cardiovasc Diabetol 2023; 22:81. [PMID: 37013573 PMCID: PMC10071707 DOI: 10.1186/s12933-023-01807-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 03/19/2023] [Indexed: 04/05/2023] Open
Abstract
BACKGROUND Coronary artery calcium (CAC) improves cardiovascular event prediction. Visceral adipose tissue (VAT) is a cardiometabolic risk factor that may directly or through its related comorbidities determine the obesity-related risk. A clinical VAT estimator could allow an efficient evaluation of obesity-related risk. We aimed to analyze the effect of VAT and its related cardiometabolic risk factors on CAC progression. METHODS CAC was quantified at baseline and after 5 years by computed tomography (CT), determining its progression. VAT and pericardial fat were measured by CT and estimated by a clinical surrogate (METS-VF). Considered cardiometabolic risk factors were: peripheral insulin resistance (IR), HOMA-IR, adipose tissue IR (ADIPO-IR), and adiponectin. Factors independently associated to CAC progression were analyzed by adjusted Cox proportional hazard models, including statin use and ASCVD risk score as covariates. We performed interaction and mediation models to propose possible pathways for CAC progression. RESULTS The study included 862 adults (53 ± 9 years, 53% women), incidence CAC progression rate: 30.2 (95% CI 25.3-35.8)/1000 person-years. VAT (HR: 1.004, 95% CI 1.001-1.007, p < 0.01) and METS-VF (HR: 1.001, 95% CI 1.0-1.001, p < 0.05) independently predicted CAC progression. VAT-associated CAC progression risk was evident among low-risk ASCVD subjects, and attenuated among medium-high-risk subjects, suggesting that traditional risk factors overcome adiposity in the latter. VAT mediates 51.8% (95% CI 44.5-58.8%) of the effect attributable to IR together with adipose tissue dysfunction on CAC progression. CONCLUSIONS This study supports the hypothesis that VAT is a mediator of the risk conferred by subcutaneous adipose tissue dysfunction. METS-VF is an efficient clinical surrogate that could facilitate the identification of at-risk adiposity subjects in daily clinical practice.
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Affiliation(s)
- Neftali Eduardo Antonio-Villa
- Departamento de Endocrinología, Instituto Nacional de Cardiología Ignacio Chávez, Juan Badiano 1, Col. Sección XVI, C.P. 14080, Ciudad de Mexico, Tlalpan, México
| | - Juan Gabriel Juárez-Rojas
- Departamento de Endocrinología, Instituto Nacional de Cardiología Ignacio Chávez, Juan Badiano 1, Col. Sección XVI, C.P. 14080, Ciudad de Mexico, Tlalpan, México
| | - Rosalinda Posadas-Sánchez
- Departamento de Endocrinología, Instituto Nacional de Cardiología Ignacio Chávez, Juan Badiano 1, Col. Sección XVI, C.P. 14080, Ciudad de Mexico, Tlalpan, México
| | - Juan Reyes-Barrera
- Departamento de Endocrinología, Instituto Nacional de Cardiología Ignacio Chávez, Juan Badiano 1, Col. Sección XVI, C.P. 14080, Ciudad de Mexico, Tlalpan, México
| | - Aida Medina-Urrutia
- Departamento de Endocrinología, Instituto Nacional de Cardiología Ignacio Chávez, Juan Badiano 1, Col. Sección XVI, C.P. 14080, Ciudad de Mexico, Tlalpan, México.
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13
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Al-Kuraishy HM, Al-Gareeb AI, Alsayegh AA, Hakami ZH, Khamjan NA, Saad HM, Batiha GES, De Waard M. A Potential Link Between Visceral Obesity and Risk of Alzheimer's Disease. Neurochem Res 2023; 48:745-766. [PMID: 36409447 DOI: 10.1007/s11064-022-03817-4] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 11/05/2022] [Accepted: 11/08/2022] [Indexed: 11/22/2022]
Abstract
Alzheimer's disease (AD) is the most common type of dementia characterized by the deposition of amyloid beta (Aβ) plaques and tau-neurofibrillary tangles in the brain. Visceral obesity (VO) is usually associated with low-grade inflammation due to higher expression of pro-inflammatory cytokines by adipose tissue. The objective of the present review was to evaluate the potential link between VO and the development of AD. Tissue hypoxia in obesity promotes tissue injury, production of adipocytokines, and release of pro-inflammatory cytokines leading to an oxidative-inflammatory loop with induction of insulin resistance. Importantly, brain insulin signaling is involved in the pathogenesis of AD and lower cognitive function. Obesity and enlargement of visceral adipose tissue are associated with the deposition of Aβ. All of this is consonant with VO increasing the risk of AD through the dysregulation of adipocytokines which affect the development of AD. The activated nuclear factor kappa B (NF-κB) pathway in VO might be a potential link in the development of AD. Likewise, the higher concentration of advanced glycation end-products in VO could be implicated in the pathogenesis of AD. Taken together, different inflammatory signaling pathways are activated in VO that all have a negative impact on the cognitive function and progression of AD except hypoxia-inducible factor 1 which has beneficial and neuroprotective effects in mitigating the progression of AD. In addition, VO-mediated hypoadiponectinemia and leptin resistance may promote the progression of Aβ formation and tau phosphorylation with the development of AD. In conclusion, VO-induced AD is mainly mediated through the induction of oxidative stress, inflammatory changes, leptin resistance, and hypoadiponectinemia that collectively trigger Aβ formation and neuroinflammation. Thus, early recognition of VO by visceral adiposity index with appropriate management could be a preventive measure against the development of AD in patients with VO.
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Affiliation(s)
- Hayder M Al-Kuraishy
- Department of Pharmacology, Toxicology and Medicine, Medical Faculty, College of Medicine, Al-Mustansiriyah University, P.O. Box 14132, Baghdad, Iraq
| | - Ali I Al-Gareeb
- Department of Pharmacology, Toxicology and Medicine, Medical Faculty, College of Medicine, Al-Mustansiriyah University, P.O. Box 14132, Baghdad, Iraq
| | - Abdulrahman A Alsayegh
- Clinical Nutrition Department, Applied Medical Sciences College, Jazan University, Jazan, 82817, Saudi Arabia
| | - Zaki H Hakami
- Medical Laboratory Technology Department Applied Medical Sciences College, Jazan University, Jazan, 82817, Saudi Arabia
| | - Nizar A Khamjan
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia
| | - Hebatallah M Saad
- Department of Pathology, Faculty of Veterinary Medicine, Matrouh University, Marsa Matruh, 51744, Egypt.
| | - Gaber El-Saber Batiha
- Department of Pharmacology and Therapeutics, Faculty of Veterinary Medicine, Damanhour University, Damanhour, 22511, Egypt.
| | - Michel De Waard
- Smartox Biotechnology, 6 rue des Platanes, 38120, Saint-Egrève, France.,L'institut du thorax, INSERM, CNRS, UNIV NANTES, 44007, Nantes, France.,LabEx «Ion Channels, Science & Therapeutics», Université de Nice Sophia-Antipolis, 06560, Valbonne, France
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14
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Wang X, Si Z, Wang H, Meng R, Lu H, Zhao Z, Hu J, Wang H, Chen J, Zheng Y, Zheng Z, Chen Y, Yang Y, Li X, Xue L, Sun J, Wu J. Association of Chinese Visceral Adiposity Index and Carotid Atherosclerosis in Steelworkers: A Cross-Sectional Study. Nutrients 2023; 15:nu15041023. [PMID: 36839381 PMCID: PMC9964603 DOI: 10.3390/nu15041023] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 02/16/2023] [Accepted: 02/17/2023] [Indexed: 02/22/2023] Open
Abstract
The Chinese Visceral Adiposity Index (CVAI) is an indicator of visceral adiposity dysfunction used to evaluate the metabolic health of the Chinese population. Steelworkers are more likely to be obese due to their exposure to special occupational factors, and have a higher prevalence of carotid atherosclerosis (CAS). This study aimed to analyze the special relationship between CVAI and CAS among steelworkers. A total of 4075 subjects from a northern steel company were involved in the cross-sectional study. Four logistic regression models were developed to analyze the correlation between CVAI and CAS. In addition, the restricted cubic spline was applied to fit the dose-response association between CVAI and CAS risk. In the study, the prevalence of CAS was approximately 25.94%. After adjustment for potential confounders, we observed a positive correlation between CVAI and CAS risk. Compared to the first CVAI quartile, the effect value odds ratio (OR) and 95% CI in the second, third, and fourth CVAI quartile were 1.523 (1.159-2.000), 2.708 (2.076-3.533), and 4.101 (3.131-5.372), respectively. Additionally, this positive correlation was stable in all subgroups except for female. Furthermore, we also found a non-linear relationship between CVAI and CAS risk (p nonlinear < 0.05). Notably, CVAI could increase the risk of CAS when higher than 106. In conclusion, our study showed that CVAI might be a reliable indicator to identify high-risk populations of CAS among steelworkers.
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Affiliation(s)
- Xuelin Wang
- Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, No. 21 Bohai Avenue, Caofeidian New Town, Tangshan 063210, China
| | - Zhikang Si
- Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, No. 21 Bohai Avenue, Caofeidian New Town, Tangshan 063210, China
| | - Hui Wang
- Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, No. 21 Bohai Avenue, Caofeidian New Town, Tangshan 063210, China
| | - Rui Meng
- Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, No. 21 Bohai Avenue, Caofeidian New Town, Tangshan 063210, China
| | - Haipeng Lu
- Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, No. 21 Bohai Avenue, Caofeidian New Town, Tangshan 063210, China
| | - Zekun Zhao
- Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, No. 21 Bohai Avenue, Caofeidian New Town, Tangshan 063210, China
| | - Jiaqi Hu
- Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, No. 21 Bohai Avenue, Caofeidian New Town, Tangshan 063210, China
| | - Huan Wang
- Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, No. 21 Bohai Avenue, Caofeidian New Town, Tangshan 063210, China
| | - Jiaqi Chen
- Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, No. 21 Bohai Avenue, Caofeidian New Town, Tangshan 063210, China
| | - Yizhan Zheng
- Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, No. 21 Bohai Avenue, Caofeidian New Town, Tangshan 063210, China
| | - Ziwei Zheng
- Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, No. 21 Bohai Avenue, Caofeidian New Town, Tangshan 063210, China
| | - Yuanyu Chen
- Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, No. 21 Bohai Avenue, Caofeidian New Town, Tangshan 063210, China
| | - Yongzhong Yang
- Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, No. 21 Bohai Avenue, Caofeidian New Town, Tangshan 063210, China
| | - Xiaoming Li
- Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, No. 21 Bohai Avenue, Caofeidian New Town, Tangshan 063210, China
| | - Ling Xue
- Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, No. 21 Bohai Avenue, Caofeidian New Town, Tangshan 063210, China
| | - Jian Sun
- Department of Epidemiology and Health Statistics, School of Public Health, North China University of Science and Technology, No. 21 Bohai Avenue, Caofeidian New Town, Tangshan 063210, China
- Correspondence: (J.S.); (J.W.)
| | - Jianhui Wu
- Key Laboratory of Coal Mine Health and Safety of Hebei Province, School of Public Health, North China University of Science and Technology, No. 21 Bohai Avenue, Caofeidian New Town, Tangshan 063210, China
- Correspondence: (J.S.); (J.W.)
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Mathematical Analysis of the Healthcare Treatment of 215 Patients with Coronary Heart Disease. Cell Microbiol 2022. [DOI: 10.1155/2022/2134472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The main risk factors for CHD and the comorbidity include hyperlipidemia (HL), hypertension, smoking, dietary factors, and genetic factors. In this work, 215 patients with coronary heart disease, including 128 males and 87 females, were analyzed for a better understanding of the related clinical pharmacology. Nonparametric test, analysis of variance, chi-square test, correlation analysis, and other methods were used to sort out the data. From the analysis, there are significant differences in age among different gender samples. The incidence of coronary heart disease in men is five years younger than that in women. The sample pairs from different regions showed differences in the presence of family history of diabetes, indicating that a series of patients in some regions concentrated on the disease status of family history of diabetes. Age has a significant positive effect on cardiac functional classification. The older you are, the larger the cardiac functional classification is and the worse the cardiac function is. Age was negatively correlated with VTE score, diastolic blood pressure, CAR, TG, neutrophil, and TC. The older you are, the lower these six values are. Samples of different types of CHD showed significant differences in the presence of comorbidity and family history of CHD. The most significant are unstable angina pectoris and ischemic cardiomyopathy. Samples of different CHD types showed significant effects on VTE score, creatine kinase, low-density lipoprotein cholesterol (LDL⁃C), and lactate dehydrogenase. The highest lactate dehydrogenase is ischemic cardiomyopathy. The highest LDL cholesterol is ST-segment elevation angina. The highest creatine kinase is ischemic cardiomyopathy. The VTE score was the highest for ischemic cardiomyopathy, followed by non-ST-segment elevation angina. Samples taken with or without lipid-lowering drugs showed significant differences in lactate dehydrogenase, creatinine, and TC. There was a significant positive correlation between VTE scores and lactate dehydrogenase, myoglobin, and creatine kinase. High VTE score indicates high lactate dehydrogenase, myoglobin, and creatine kinase. TC has a significant positive correlation with HDL⁃C and TG, respectively. Higher TC values indicate higher HDL⁃C and TG values.
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