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Huang X, Wen S, Huang Y, Zhang B, Xia Z, Huang Z. Association between cardiometabolic index and the incidence of stroke: a prospective nationwide cohort study in China. J Diabetes Metab Disord 2025; 24:26. [PMID: 39735172 PMCID: PMC11680538 DOI: 10.1007/s40200-024-01530-3] [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: 08/06/2024] [Accepted: 10/12/2024] [Indexed: 12/31/2024]
Abstract
Objectives Cardiometabolic index (CMI), based on triglycerides (TG) to high-density lipoprotein cholesterol (HDL-C) ratio and waist-to-height ratio (WHtR), has been recognized as a novel and practical marker for the assessment of cardiometabolic risk. However, the relationship between CMI and the incidence of stroke remains to be elucidated. This investigation aimed to explore the association between CMI and stroke incidence. Methods The investigation included 6,633 individuals aged over 45 years from the China Health and Retirement Longitudinal Study. Logistic regressions and restricted cubic spline regression were uitilized to determine the relationship between CMI and the incidence of stroke. Weighted quantile sum regression was used to offer a comprehensive explanation of the CMI by calculating the weights of triglyceride-glucose (TG), high-density lipoprotein cholesterol (HDL-C), weight, and height. Results During the 9-year follow-up, 827 (12%) incident stroke participants were identified. With CMI as a continuous variable, the OR (95% CI) for the risk of incident stroke was 1.09 (1.01-1.19) (p = 0.047) after adjusting for potential confounders, indicating a significant link between increased CMI and an elevated incidence of stroke. Additionally, when CMI was categorized into quartiles, compared to the first quartile, the incident stroke was significantly higher in the fourth quartile (OR 1.57, 95%CI 1.22-2.04, p <0.001). The association between CMI and stroke incidence was nonlinear (p overall=0.002, p non-linear = 0.006). TG emerged as the primary contributor when the weights were assigned to the constituent elements of the CMI (weight = 0.645). Conclusions The CMI was independently associated with stroke incidence in middle-aged and elderly Chinese populations. Long-term CMI monitoring is of great importance for early identification and prevention of stroke, with significant implications for clinical practice. Supplementary Information The online version contains supplementary material available at 10.1007/s40200-024-01530-3.
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Affiliation(s)
- Xingjie Huang
- Department of Cardiology, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi 541000 China
| | - Song Wen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, 106 Zhongshan 2nd Road, Yuexiu, Guangzhou, Guangdong 510080 China
| | - Yuqing Huang
- Hypertension Laboratory, Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510080 China
| | - Bin Zhang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, 106 Zhongshan 2nd Road, Yuexiu, Guangzhou, Guangdong 510080 China
| | - Zhonghua Xia
- Department of Cardiology, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi 541000 China
| | - Zehan Huang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, 106 Zhongshan 2nd Road, Yuexiu, Guangzhou, Guangdong 510080 China
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Zhang XT, Zeng QT, Zhang HJ, Zhou SP. Association between relative muscle strength and cardiometabolic multimorbidity in middle-aged and older Chinese adults. Acta Diabetol 2025:10.1007/s00592-025-02494-3. [PMID: 40252105 DOI: 10.1007/s00592-025-02494-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2024] [Accepted: 03/22/2025] [Indexed: 04/21/2025]
Abstract
BACKGROUND Relative muscle strength (RMS) serves as a valuable indicator of skeletal muscle function. As the body ages, skeletal muscle function declines gradually, leading to a range of adverse effects. Cardiometabolic multimorbidity (CMM) is a prevalent co-morbidity in middle-aged and elderly populations. However, there are few studies to investigate the association between RMS and CMM. METHODS This study adopted a cross-sectional design, including participants from the China Health and Retirement Longitudinal Study (CHARLS) of 2011. Appendicular skeletal muscle mass (ASM) was estimated using previously validated anthropometric equations. RMS was defined as the ratio of maximum hand grip strength (HGS) to ASM. CMM was characterized by the presence of at least two cardiometabolic disorders (cardiopathy, stroke, and diabetes), as assessed through self-reported physician diagnoses. The relationship between RMS and CMM was evaluated through multifactor logistic regression analysis. RESULTS A total of 9,200 participants with a mean age of 59.49 years were included in this study. Among them, 6,844 (74.4%) had no cardiometabolic disease (CMD), 2,052 (22.3%) had a single CMD, and 304 (3.3%) had cardiometabolic multimorbidity (CMM). Multifactor logistic regression was used to evaluate the relationship between them. In the initial model, there was a negative correlation between RMS and CMM. After adjusting for confounders, this association remained statistically significant. Specifically, for each additional unit increase in RMS, the risk of CMM was reduced by 40% (OR: 0.60, 95%CI: (0.45, 0.78)). Additionally, the highest RMS value group had a lower risk of CMM compared to the lowest value group (OR: 0.46, 95%CI: (0.31, 0.67)). As indicated by the restricted cubic spline plots, there was an L-shape correlation between RMS and CMM (P for nonlinear = 0.003). CONCLUSION The RMS, calculated based on HGS and ASM, was a potential indicator of CMM in middle-aged and elderly adults in China.
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Affiliation(s)
- Xiang-Tao Zhang
- Department of Cardiology, Yichun People's Hospital, Yichun, China
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Qing-Tian Zeng
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Hong-Jin Zhang
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Si-Ping Zhou
- Department of Cardiology, Yichun People's Hospital, Yichun, China.
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Wang M, Gao B, Huang F. Association between the triglyceride glucose-Chinese visceral adiposity index and new-onset stroke risk: a national cohort study. Cardiovasc Diabetol 2025; 24:119. [PMID: 40075466 PMCID: PMC11905438 DOI: 10.1186/s12933-025-02668-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2024] [Accepted: 02/26/2025] [Indexed: 03/14/2025] Open
Abstract
BACKGROUND Numerous studies have investigated the effect of an integrated index that combines the triglyceride‒glucose (TyG) index with various obesity indicators on stroke incidence. However, how to use the TyG index and the Chinese Visceral Adiposity Index (CVAI) for stroke prevention remains unclear. This study examined the associations between dynamic changes in the TyG-CVAI index and cumulative, baseline, and new-onset stroke risk. METHODS Data from 3,769 participants in the China Health and Retirement Longitudinal Study(CHARLS) were analyzed, concentrating on the baseline TyG-CVAI, TyG-CVAI in 2015, and the cumulative TyG-CVAI derived from these. The fluctuations of the TyG-CVAI index were grouped into three clusters using K-means clustering analysis. Logistic regression models were used to examine the relationship between the TyG-CVAI index and new-onset stroke risk. Restricted cubic splines (RCS) were employed to investigate potential nonlinear relationships while assessing the predictive capability by receiver operating characteristic curve. RESULTS During the follow-up period, 181 participants experienced stroke events. The stroke incidence rates in Clusters 1, 2, and 3 were 2.42%, 8.72%, and 4.37%, respectively. After adjustment for confounding factors, Cluster 2 with high and increasing TyG-CVAI index (OR = 3.16, 95% CI 1.94-5.22), the Q3 group with high cumulative TyG-CVAI index (OR = 2.53, 95% CI 1.60-4.02), and the Q3 group with high baseline TyG-CVAI index (OR = 2.49, 95% CI 1.57-3.95),which were all correlated with an elevated risk of new-onset stroke. The RCS analysis disclosed a U-shaped relationship between cumulative and baseline TyG-CVAI index and stroke risk. CONCLUSION The fluctuations in and baseline, and cumulative TyG-CVAI index are independently correlated with an increased risk of stroke. The TyG-CVAI index is anticipated to be a more efficient and significant indicator for evaluating early stroke.
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Affiliation(s)
- Mengdie Wang
- Department of Neurology, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Bing Gao
- Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, China
| | - Fei Huang
- Department of Orthopedics, China-Japan Union Hospital of Jilin University, Changchun, China.
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Wang Q, Liu T, Jia C, Wang P, Wang Y, He Q. Association of Chinese visceral adiposity index with asymptomatic hyperuricemia incidence in type 2 diabetes: a cross-sectional study. PeerJ 2025; 13:e19045. [PMID: 40028208 PMCID: PMC11871898 DOI: 10.7717/peerj.19045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2024] [Accepted: 02/03/2025] [Indexed: 03/05/2025] Open
Abstract
Background Previous research has shown a correlation between high visceral fat levels and hyperuricemia incidence. The Chinese Visceral Adiposity Index (CVAI) assessed visceral fat status in the Chinese population. Our study investigates the correlation between CVAI and asymptomatic hyperuricemia in type 2 diabetes patients. Methods This cross-sectional study analyzed 1,588 hospitalized type 2 diabetes patients to investigate the association between CVAI and hyperuricemia. CVAI was included in the logistic regression analysis as both a continuous and categorical variable, and restricted cubic splines were used to assess the dose-response relationship. Additionally, subgroup analyses were performed to investigate potential interactions among variables. The predictive capability of CVAI was assessed using the receiver operating characteristic (ROC) curve based on the basic model. Results The CVAI quartile group analysis revealed a higher prevalence of hyperuricemia with increasing CVAI levels. CVAI is significantly associated with hyperuricemia, as identified through multifactorial logistic regression analysis. After adjusting for all covariates, the odds ratios for CVAI in the second, third, and fourth quartiles were significantly higher than in the lowest quartile, with values of 2.688 (95% CI [1.301-5.554], p = 0.008), 2.752 (95% CI [1.320-5.739], p = 0.007), and 4.990 (95% CI [2.392-10.409], p < 0.001), respectively. No significant interactions were observed in the subgroup analysis. Incorporating CVAI into the basic model increased the ROC curve's area under the curve to 0.714. Conclusion This study found a positive correlation between CVAI and hyperuricemia incidence in type 2 diabetes patients. Consequently, CVAI may reliably indicate hyperuricemia in this patient population.
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Affiliation(s)
- Qing Wang
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, Tianjin, China
- Department of Endocrinology and Metabolism, Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Tian Liu
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, Tianjin, China
- Department of Endocrinology and Metabolism, Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Changxin Jia
- Department of Anesthesiology, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Ping Wang
- Department of Endocrinology and Metabolism, Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Yangang Wang
- Department of Endocrinology and Metabolism, Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Qing He
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, Tianjin, China
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Shen X, Liu Q, Lin T, Zheng D, He Q. Association between Chinese visceral adiposity index and cardiovascular events risk in individuals with cardiovascular-kidney-metabolic syndrome stage 0-3: a nationwide cohort study. Int Urol Nephrol 2025:10.1007/s11255-025-04403-7. [PMID: 39934555 DOI: 10.1007/s11255-025-04403-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2024] [Accepted: 01/27/2025] [Indexed: 02/13/2025]
Abstract
BACKGROUND The population with cardiovascular-kidney-metabolic (CKM) syndrome has a higher risk of cardiovascular events. Chinese visceral adiposity index (CVAI), an index of both visceral obesity and surrogate insulin resistance, has been linked to cardiovascular events. However, the nature of this relationship remains unclear in individuals with CKM syndrome. METHODS All data came from the China Health and Retirement Longitudinal Study (CHARLS). The association between CVAI and cardiovascular events risk was explored using Cox regression models, restricted cubic spline (RCS) curves, and multiple sensitivity analyses. To compare the predictive abilities of various indices, receiver operating characteristic (ROC) analyses were employed. RESULTS 7744 participants were in final analysis. During 9 year follow-up, 1679 cases of cardiovascular disease (CVD), 1,255 cases of heart disease, and 604 cases of stroke were recorded. Cox regression analyses revealed that per-SD (standard deviation) increase in CVAI, the risk of CVD, heart disease, and stroke increased by 22% (95% CI 1.13-1.32), 22% (95% CI 1.13-1.32), and 32% (95% CI 1.19-1.47). In participants at CKM stage 3 with CVD, a J-shaped curve was observed in the RCS analyses (P non-linearity = 0.036). Subgroup analysis revealed an interaction between age and each 10-unit increase in CVAI in CVD (P interaction = 0.0173) and stroke risk (P interaction = 0.028). The AUC (area under curve) value for CVAI was highest compared to other indicators (all DeLong Test P values < 0.05). CONCLUSIONS This research demonstrates a higher CVAI was linked to increased cardiovascular risk in individuals with CKM syndrome stage 0-3. Monitoring CVAI can help identify high-risk individuals early and improve the effectiveness of disease management.
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Affiliation(s)
- Xiaobo Shen
- Department of Nephrology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, China
| | - Qi Liu
- Department of Nephrology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, China
| | - Tianchen Lin
- The First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Danna Zheng
- Urology & Nephrology Center, Department of Nephrology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Qiang He
- Department of Nephrology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, China.
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Li L, Xi L, Wang Q. Association between Chinese visceral adiposity index and risk of new-onset hypertension in middle-aged and older adults with prediabetes: evidence from a large national cohort study. Front Public Health 2025; 13:1509898. [PMID: 40013048 PMCID: PMC11861091 DOI: 10.3389/fpubh.2025.1509898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2024] [Accepted: 01/27/2025] [Indexed: 02/28/2025] Open
Abstract
Purpose Chinese Visceral Adiposity Index (CVAI) has been found significantly associated with hypertension in general and type-2 diabetes adults. However, the predictive value of CVAI for the incidence of hypertension in adults with prediabetes is unclear. This study aimed to assess the predictive utility of the CVAI for the new onset of hypertension in middle-aged and older adult Chinese individuals with prediabetes. Methods A prospective cohort study was conducted involving participants aged 45 years and above with prediabetes from the 2011-2012 cohort of the China Health and Retirement Longitudinal Study (CHARLS). Logistic regression models were utilized to investigate the association between CVAI levels and the risk of new-onset hypertension. Results The study included 2,186 participants, among whom 444 (20.31%) developed hypertension. Significantly higher incidence rates of hypertension were observed in individuals belonging to the highest quartile group (Q4) compared to those in the lowest quartile group (Q1) of CVAI (29.41% vs. 14.69%, p < 0.001). Multivariate logistic regression analysis indicated that participants in Q4 had a 1.91-fold greater risk of hypertension development compared to those in Q1 (odds ratio (OR): 1.91, 95% confidence interval (CI): 1.49-2.45, p < 0.001). The area under the receiver operating characteristic (ROC) curve (AUC) demonstrated that CVAI exhibited superior performance in discriminating individuals at heightened risk of hypertension compared to other obesity-related indices (p < 0.001). A subgroup analysis revealed that age may modulate the relationship between CVAI and new-onset hypertension, with a more pronounced interaction observed among participants below 60 years of age (P for interaction: 0.026). Conclusion Elevated CVAI levels were significantly associated with an increased risk of developing hypertension. CVAI proves to be a reliable and effective tool for risk stratification in middle-aged and older adult Chinese individuals with prediabetes, underscoring its substantial implications for primary prevention of hypertension and public health strategies.
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Affiliation(s)
- Lanlan Li
- Department of Nephrology, Hospital of Xinjiang Production and Construction Corps, Urumqi, Xinjiang, China
- Department of Nephrology, Second Affiliated Hospital, Medical School of Shihezi University, Urumqi, Xinjiang, China
| | - Linqiang Xi
- Department of Cardiac Pacing and Electrophysiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
- Department of Cardiology, The Sixth Affiliated Hospital of Jinan University (Dongguan Eastern Central Hospital), Dong Guan, Guangdong, China
| | - Qianhui Wang
- Department of Cardiac Pacing and Electrophysiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
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Jiang L, Zhu T, Song W, Zhai Y, Tang Y, Ruan F, Xu Z, Li L, Fu X, Liu D, Chen A, Wu Q. Assessment of six insulin resistance surrogate indexes for predicting stroke incidence in Chinese middle-aged and elderly populations with abnormal glucose metabolism: a nationwide prospective cohort study. Cardiovasc Diabetol 2025; 24:56. [PMID: 39915878 PMCID: PMC11804005 DOI: 10.1186/s12933-025-02618-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2024] [Accepted: 01/27/2025] [Indexed: 02/09/2025] Open
Abstract
BACKGROUND Estimate glucose disposal rate (eGDR), Chinese visceral adiposity index (CVAI), triglyceride-glucose (TyG), TyG-body mass index (TyG-BMI), metabolic score for insulin resistance (METS-IR), and atherogenic index of plasma (AIP) are considered surrogate indexes of insulin resistance (IR). There is a lack of studies comparing the predictive values of different IR surrogate indexes for stroke risk among individuals with abnormal glucose metabolism. This study aimed to investigate the relationships between six IR surrogate indexes and stroke risk in individuals with abnormal glucose metabolism, evaluate their predictive abilities for stroke risk. METHODS Data from the China Health and Retirement Longitudinal Study (CHARLS) were analysed in this study. Multivariate logistic regression models were applied to analyse the relationships of IR surrogate indexes with stroke risk. The dose-response relationships between IR surrogate indexes and stroke risk were explored using restricted cubic splines. The areas under the curve (AUCs) of IR surrogate indexes were calculated by receiver operating characteristic (ROC) analysis. RESULTS After adjusting for potential confounders, we observed that each standard deviation (SD) increase in eGDR was associated with a reduced risk of stroke, with an adjusted odds ratio (OR) of 0.746 [95% confidence interval (CI): 0.661-0.842]. In contrast, each SD increase in CVAI, TyG, TyG-BMI, METS-IR, and AIP were associated with an increased risk of stroke, with adjusted ORs (95% CIs) of 1.232 (1.106-1.373), 1.246 (1.050-1.479), 1.186 (1.022-1.376), 1.222 (1.069-1.396), and 1.193 (1.050-1.355), respectively. Dose-response analyses showed that eGDR, CVAI, TyG-BMI and METS-IR were linearly associated with stroke risk (Pnonlinear ≥ 0.05), whereas TyG and AIP were nonlinearly associated with stroke risk (Pnonlinear < 0.05). According to ROC analysis, The AUC of eGDR for predicting stroke risk in the overall population with abnormal glucose metabolism (AUC: 0.612, 95% CI: 0.584-0.640) was significantly higher than that of other indexes. CONCLUSION The six IR surrogate indexes were closely associated with high risk of stroke in individuals with abnormal glucose metabolism. The eGDR showed promising potential in predicting stroke risk in Chinese middle-aged and elderly populations with abnormal glucose metabolism.
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Affiliation(s)
- Luqing Jiang
- Department of Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China
| | - Tengxiao Zhu
- Department of Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China
| | - Wenjing Song
- Department of Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China
| | - Ying Zhai
- Department of Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China
| | - Yu Tang
- Department of Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China
| | - Fengxia Ruan
- Department of Laboratory, The Second People's Hospital of Wuhu, Wuhu, Anhui, China
| | - Zichen Xu
- Department of Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China
| | - Lei Li
- Department of Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China
| | - Xia Fu
- Department of Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China
| | - Daoqin Liu
- Department of Nephrology, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China
| | - Aidong Chen
- The Key Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Department of Physiology, Nanjing Medical University, Nanjing, Jiangsu, China.
| | - Qiwen Wu
- Department of Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China.
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Deng B, Liu Z, Huang Q, Feng X, Liao D, Yu F, Feng J, Huang Q, Liu Y, Xia J. Conicity index and sex differences in relation to carotid plaque instability in Chinese community residents: Conicity index and carotid plaque. J Stroke Cerebrovasc Dis 2025; 34:108193. [PMID: 39674433 DOI: 10.1016/j.jstrokecerebrovasdis.2024.108193] [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: 06/17/2024] [Revised: 12/07/2024] [Accepted: 12/11/2024] [Indexed: 12/16/2024] Open
Abstract
OBJECTIVES The conicity index (CI), an anthropometric parameter of visceral obesity, has exhibited a strong correlation with the incidence of atherosclerosis and cardiovascular events. This study aimed to explore the relationship between CI and carotid plaque instability, as well as the potential differences between sexes in this context. METHODS Our cross-sectional study included a total of 44,248 participants from the China Stroke High-risk Population Screening and Intervention Program (CSHPSIP), all of whom underwent carotid ultrasound for the evaluation of carotid plaque. Multivariate logistics regression analysis and restricted cubic spline (RCS) curves were employed to examine the association between CI and the prevalence of carotid plaques and unstable plaques. A subgroup analysis was conducted to account for potential confounding variables. RESULTS Patients belonging to the higher CI quartiles had a greater prevalence of carotid plaque and unstable carotid plaque. After adjusting for confounding factors, each standard deviation (SD) increase in CI was associated with an odds ratio (OR) of 1.06 (95% confidence interval: 1.03-1.08) for carotid plaque and 1.03 (95% confidence interval: 1.00-1.05) for unstable carotid plaque. The RCS analysis revealed an escalating trend in the prevalence of unstable carotid plaque with increasing CI values. However, this observed trend was not evident among female participants. Furthermore, subgroup analysis revealed a more pronounced correlation between CI and carotid plaque instability in individuals with a fasting blood glucose (FBG) of ≥ 7 mmol/L and an unhealthy lifestyle characterized by physical inactivity and current smoking. CONCLUSIONS Our findings demonstrated that CI was significantly associated with carotid plaque and recommend CI as a promising indicator for the initial screening of atherosclerotic plaques in the future.
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Affiliation(s)
- Bi Deng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, PR China; Clinical Research Center for Cerebrovascular Disease of Hunan Province, Central South University, Changsha, Hunan, PR China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, PR China
| | - Zeyu Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, PR China; Clinical Research Center for Cerebrovascular Disease of Hunan Province, Central South University, Changsha, Hunan, PR China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, PR China
| | - Qin Huang
- Department of Neurology, Peking University people's hospital, Beijing, PR China
| | - Xianjing Feng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, PR China; Clinical Research Center for Cerebrovascular Disease of Hunan Province, Central South University, Changsha, Hunan, PR China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, PR China
| | - Di Liao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, PR China; Clinical Research Center for Cerebrovascular Disease of Hunan Province, Central South University, Changsha, Hunan, PR China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, PR China.
| | - Fang Yu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, PR China; Clinical Research Center for Cerebrovascular Disease of Hunan Province, Central South University, Changsha, Hunan, PR China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, PR China
| | - Jie Feng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, PR China; Clinical Research Center for Cerebrovascular Disease of Hunan Province, Central South University, Changsha, Hunan, PR China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, PR China.
| | - Qing Huang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, PR China; Clinical Research Center for Cerebrovascular Disease of Hunan Province, Central South University, Changsha, Hunan, PR China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, PR China
| | - Yunhai Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, PR China; Clinical Research Center for Cerebrovascular Disease of Hunan Province, Central South University, Changsha, Hunan, PR China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, PR China
| | - Jian Xia
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, PR China; Clinical Research Center for Cerebrovascular Disease of Hunan Province, Central South University, Changsha, Hunan, PR China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, PR China.
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Liao C, Lai H, Tu Y, He L, Lin C, Tu H, Li J. Association of CVAI, LAP and SMI with risk of haematological toxicity after immunochemotherapy in patients with DLBCL: a retrospective study. Ther Adv Hematol 2025; 16:20406207251314631. [PMID: 39897506 PMCID: PMC11783497 DOI: 10.1177/20406207251314631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2024] [Accepted: 01/06/2025] [Indexed: 02/04/2025] Open
Abstract
Background The occurrence of adverse events after immunochemotherapy in patients with diffuse large B-cell lymphoma (DLBCL) frequently affects the course of chemotherapy, leading to a further decline in quality of life and survival. Objectives The primary objective of this study was to investigate the association between Chinese visceral adiposity index (CVAI), lipid accumulation product (LAP) index and skeletal muscle mass index (SMI) at initial diagnosis and the risk of haematological toxicity following immunochemotherapy in patients with DLBCL. Design Retrospective, single-centre study. Methods CVAI, LAP and SMI were calculated by combining clinical data of the patients. This study included 213 patients, of whom 117 (55%) patients experienced grades 3-4 haematological toxicity after immunochemotherapy. Participants were divided into four groups (Q1, Q2, Q3, Q4) based on the quartiles of CVAI, LAP and SMI. Results In the fully adjusted model, the risk of grades 3-4 haematological toxicity in group with the highest CVAI and LAP was reduced by 75.1% (OR: 0.249, 95% CI: 0.102-0.606, p = 0.002) and by 77.3% (OR: 0.227, 95% CI: 0.095-0.542, p = 0.001) compared to the group with the lowest CVAI and LAP. For SMI, the risk of grades 3-4 haematological toxicities in the group with the highest SMI was reduced by 62.9% compared with the lowest SMI group in the unadjusted model. The multivariable-adjusted restricted cubic spline curves and subgroup interaction analyses further confirmed the robustness of these findings. Conclusion The results indicate that DLBCL patients with relatively high CVAI, LAP and SMI at initial diagnosis have a lower risk of severe haematological toxicity following chemotherapy. Therefore, CVAI, LAP and SMI at initial diagnosis are reliable and effective biomarkers for predicting severe haematological toxicity after immunochemotherapy in DLBCL patients. Trial registration This is a retrospective study, and no registration on ClinicalTrials.gov.
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Affiliation(s)
- Caifeng Liao
- The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
- Department of Hematology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Hurong Lai
- The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
- Department of Hematology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Yansong Tu
- Faculty of Science, University of Melbourne, Parkville, VIC, Australia
| | - Ling He
- The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
- Department of Geratology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Chuyang Lin
- Clinical Trials Centre, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Huaijun Tu
- The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
- Department of Geratology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Jian Li
- Department of Hematology, The Second Affiliated Hospital of Nanchang University, 1 Minde Road, Nanchang, Jiangxi 330006, China
- The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi 330006, China
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Araújo Intchasso Adotey SA, Zhang Q, Chen M, Jiao Y, Zhang Y, Butoyi C, Wang D, Yang L, Yuan G, Jia J. Correlation between Chinese visceral adiposity index and serum uric acid levels in type 2 diabetes mellitus patients. Front Endocrinol (Lausanne) 2025; 16:1479662. [PMID: 39917540 PMCID: PMC11798813 DOI: 10.3389/fendo.2025.1479662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2024] [Accepted: 01/02/2025] [Indexed: 02/09/2025] Open
Abstract
Purpose The Chinese Visceral Adiposity Index (CVAI), a measure of visceral adiposity dysfunction, is used to assess visceral fat (VFA) malfunction. This research was performed to evaluate the relationship between CVAI and serum uric acid levels in type 2 diabetes mellitus (T2DM) patients. Methods A total of 2268 patients with T2DM were enrolled in this study. We collected the general clinical information of patients, measured the basic anthropometric indicators, tested glycolipid metabolism and biochemical indicators, and measured the visceral and subcutaneous fat area with bioelectrical impedance technology. According to the quartiles of the CVAI, the T2DM patients were classified into four groups: group A (CVAI ≤ 94.43), group B (94.43 Results Among quartiles of CVAI, as CVAI increased, the proportion of patients with HUA gradually increased. The correlation analysis showed that the majority of basal measures, glycolipid metabolism and biochemical indicators were positively correlated with CVAI. By comparison, the level of CVAI in the HUA group was significantly higher than non-HUA group. Meanwhile, through using the ROC curve, our study observed the more predictive value of CVAI than other obesity indicators for T2DM with HUA. Conclusion CVAI is a simple but effective indicator, which is significantly correlated with HUA in T2DM and can reflect the incidence of HUA in T2DM patients. As CVAI increased, the risk of HUA in T2DM patients increased. Therefore, we should pay more attention to the application of CVAI in T2DM.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Guoyue Yuan
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Jiangsu
University, Institute of Endocrine and Metabolic Diseases, Jiangsu University, Zhenjiang, China
| | - Jue Jia
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Jiangsu
University, Institute of Endocrine and Metabolic Diseases, Jiangsu University, Zhenjiang, China
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11
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Huang L, Liu Z, Zhang H, Li D, Li Z, Huang J, He J, Lu L, Wen H, Yuan H, Gu Y, Ye Y, Lu J, Liao B, Li Z, Wu L, Liu J, Li M. The Association between Serum Lipid Profile Levels and Hypertension Grades: A Cross-Sectional Study at a Health Examination Center. High Blood Press Cardiovasc Prev 2025; 32:87-98. [PMID: 39602007 DOI: 10.1007/s40292-024-00683-9] [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: 08/11/2024] [Accepted: 10/06/2024] [Indexed: 11/29/2024] Open
Abstract
INTRODUCTION Hypertension and dyslipidemia are major cardiovascular risk factors that often coexist. Hyperlipidemia is a crucial modifiable risk factor in preventing cardiovascular disease. AIM We aimed to explore the relationship between lipid levels and the grading of hypertension in a community-based adult population. METHODS A total of 63,091 non-employed individuals were included in this study. Measurements included systolic blood pressure (SBP), diastolic blood pressure (DBP), body mass index (BMI), fasting plasma glucose (FPG), alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin (STB), serum creatinine (SCr), blood urea nitrogen (BUN), total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-c), and high-density lipoprotein cholesterol (HDL-c). Chi-square and t-tests were used to obtain basic population characteristics. Multivariate logistic regression was used to evaluate the association between the prevalence of hypertension and lipid profiles, as well as to identify influencing factors. A P-value < 0.05 was considered statistically significant. Statistical charts were utilized to analyze the relationship between lipid parameters and hypertension grades. RESULTS A total of 30,588 men and 32,503 women with an average age of 64.57 ± 12.5 years participated in this study. After adjusting STB and TC, every 1 mmol/L increase in TG and LDL-c was associated with a 6.0% and 6.5% increase in the prevalence of hypertension, respectively. Conversely, for every 1 mmol/L increase in HDL-c, the prevalence of hypertension decreased by 4.1%. Increases in TG and LDL-c levels were observed across all grades of hypertension, while very high HDL-c was significantly associated in grade III hypertension (1.54→1.66 mmol/L). Additionally, age, BMI, FPG, ALT, AST, SCr, and BUN significantly influenced the association between hypertension and lipid levels. CONCLUSION Hyperlipidemia and hypertension often coexist in health examination populations. Elevated levels of TG and LDL-C are associated with all grades of hypertension, while extremely high HDL-C level is linked to more severe hypertension.
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Affiliation(s)
- Ling Huang
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease, Institute of Cardiovascular Research, School of Nursing, Southwest Medical University, Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China
| | - Zhangyi Liu
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease, Institute of Cardiovascular Research, School of Nursing, Southwest Medical University, Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China
| | - Huayang Zhang
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease, Institute of Cardiovascular Research, School of Nursing, Southwest Medical University, Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China
| | - Dan Li
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease, Institute of Cardiovascular Research, School of Nursing, Southwest Medical University, Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China
| | - Zhiyi Li
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease, Institute of Cardiovascular Research, School of Nursing, Southwest Medical University, Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China
| | - Jie Huang
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease, Institute of Cardiovascular Research, School of Nursing, Southwest Medical University, Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China
| | - Jie He
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease, Institute of Cardiovascular Research, School of Nursing, Southwest Medical University, Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China
| | - Lin Lu
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease, Institute of Cardiovascular Research, School of Nursing, Southwest Medical University, Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China
| | - Hu Wen
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease, Institute of Cardiovascular Research, School of Nursing, Southwest Medical University, Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China
| | - Huan Yuan
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease, Institute of Cardiovascular Research, School of Nursing, Southwest Medical University, Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China
| | - Yinshan Gu
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease, Institute of Cardiovascular Research, School of Nursing, Southwest Medical University, Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China
| | - Yunli Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Southwest Medical University, Luzhou, 646000, People's Republic of China
| | - Jian Lu
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease, Institute of Cardiovascular Research, School of Nursing, Southwest Medical University, Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China
| | - Bin Liao
- Department of Cardiovascular Surgery, The Affiliated Hospital, Southwest Medical University, Metabolic Vascular Diseases Key Laboratory of Sichuan Province, Key Laboratory of Cardiovascular Remodeling and Dysfunction, Luzhou, 646000, Sichuan, People's Republic of China
| | - Zhengye Li
- Xuyong People's Hospital, Luzhou, 646400, People's Republic of China
| | - Lin Wu
- Department of Cardiology, Peking University First Hospital, Beijing, People's Republic of China.
| | - Jinbo Liu
- Department of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province Engineering Technology Research Center of Molecular Diagnosis of Clinical Diseases Molecular Diagnosis of Clinical Diseases Key Laboratory of Luzhou, Luzhou, 646000, People's Republic of China.
| | - Miaoling Li
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease, Institute of Cardiovascular Research, School of Nursing, Southwest Medical University, Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China.
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Zhang Y, Shi M, Dong Z, Li T, Gong Y, Ge W. Impact of Chinese visceral adiposity index on all-cause mortality risk in community-dwelling older adults: a prospective cohort study. Aging Clin Exp Res 2024; 36:230. [PMID: 39625579 PMCID: PMC11614971 DOI: 10.1007/s40520-024-02891-8] [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: 08/04/2024] [Accepted: 11/14/2024] [Indexed: 12/06/2024]
Abstract
BACKGROUNDS Whether excess visceral fat tissue increases the risk of death in older individuals remains controversial. AIMS To investigate the association between the Chinese Visceral Adiposity Index (CVAI) and all-cause mortality risk in older Chinese individuals. METHODS This cohort study utilized data of individuals aged ≥ 65 years in 2014 to 2018 wave from the Chinese Longitudinal Healthy Longevity Survey database. Older individuals in the 2014 wave were included and followed up in 2018. CVAI was calculated based on age, body size, and blood lipid parameters, with higher values indicating increased visceral fat. Survival status was determined from official death certificates, local primary healthcare providers, or the family members of participants. Kaplan-Meier survival curve and log-rank test were employed to analyze cumulative mortality risk through CVAI tertiles (tertile 1: CVAI index < 97.34; tertile 2: 97.43 ≤ CVAI index < 132.21; and tertile 3: CVAI index ≥ 132.21). A Cox proportional hazards regression model was used to assess the relationship between the CVAI groups and all-cause mortality risk. Additionally, a sensitivity analysis was performed by excluding participants who died within the first year of follow-up. A subgroup analysis was performed based on age and sex, and a restricted cubic spline plot was created to analyze the dose-response relationship between CVAI and mortality risk. RESULTS A total of 1414 individuals were included, and the mean age of the participants was 84.6 (standard deviation: 10.9) years, of which 46.4% were women and 32.8% were died during a median follow-up time of 36.4 months. In the multivariable adjusted Cox regression model, we observed a significantly lower risk of mortality in the CVAI tertile 2 and 3 groups than in the tertile 1 group. The hazard ratios (HR) of the tertile 2 and 3 groups were 0.68 (95% CI, approximately 0.52-0.89) and 0.63 (95% CI, approximately 0.48-0.82), respectively. Subgroup analysis revealed that the protective effect of higher CVAI levels on mortality was more pronounced in participants aged 65-79 years and in women. CONCLUSION Our study established a linear relationship between CVAI and mortality risk among community-dwelling older adults, with higher CVAI levels associated with a lower risk of all-cause mortality. These findings highlight the potential importance of visceral adiposity in predicting mortality risk in community-dwelling older adults.
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Affiliation(s)
- Yuyu Zhang
- Department of General Practice, Xijing Hospital, Fourth Military Medical University, Changle West Road #127, Xi'an, Shaanxi Province, 710032, P.R. China
| | - Mingyue Shi
- Department of General Practice, Xijing Hospital, Fourth Military Medical University, Changle West Road #127, Xi'an, Shaanxi Province, 710032, P.R. China
| | - Zhao Dong
- Department of General Practice, Xijing Hospital, Fourth Military Medical University, Changle West Road #127, Xi'an, Shaanxi Province, 710032, P.R. China
| | - Tingting Li
- Department of General Practice, Xijing Hospital, Fourth Military Medical University, Changle West Road #127, Xi'an, Shaanxi Province, 710032, P.R. China
| | - Yangfan Gong
- Department of General Practice, Xijing Hospital, Fourth Military Medical University, Changle West Road #127, Xi'an, Shaanxi Province, 710032, P.R. China
| | - Wei Ge
- Department of General Practice, Xijing Hospital, Fourth Military Medical University, Changle West Road #127, Xi'an, Shaanxi Province, 710032, P.R. 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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Yang Y, Li S, Ren Q, Qiu Y, Pan M, Liu G, Zheng R, An Z, Li S. The interaction between triglyceride-glucose index and visceral adiposity in cardiovascular disease risk: findings from a nationwide Chinese cohort. Cardiovasc Diabetol 2024; 23:427. [PMID: 39604987 PMCID: PMC11603997 DOI: 10.1186/s12933-024-02518-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2024] [Accepted: 11/18/2024] [Indexed: 11/29/2024] Open
Abstract
BACKGROUND Globally, cardiovascular disease (CVD) constitutes the primary cause of death, with insulin resistance (IR), measured by the triglyceride-glucose (TyG) index, and visceral obesity, reflected by the Chinese Visceral Adiposity Index (CVAI), as key contributors. However, the relationship between the TyG index and CVAI regarding CVD risk remains insufficiently understood. This research investigates the interactive impact of the TyG index and CVAI on the risk of cardiovascular disease. METHODS We analyzed data from 8,358 participants from the China Health and Retirement Longitudinal Study (CHARLS) over a 9-year follow-up period. Participants were classified into four groups based on median TyG index (8.59) and CVAI values (101.26), and baseline characteristics were summarized. Missing data were addressed using multiple imputation by chained equations (MICE). Cox proportional hazards models assessed associations between TyG index, CVAI, CVD, coronary heart disease (CHD), and stroke risks, with Kaplan-Meier analysis used for cumulative hazard. Interaction effects were evaluated using both multiplicative and additive measures. Subgroup analyses by age, gender, and clinical conditions were conducted to explore interaction effects across different populations. Sensitivity analyses re-tested models, excluding the covariates BMI and diabetes, using tertiles for classification, and re-evaluating imputed data. RESULTS Over the 9-year follow-up, 1,240 participants (14.8%) developed CVD, including 896 cases of CHD and 475 strokes. Kaplan-Meier curves indicated that participants with low TyG index but high CVAI had the highest cumulative hazard of CVD. Cox regression showed that this group had the highest CVD risk (HR = 1.87, 95% CI: 1.57-2.24), followed by those with both high TyG index and high CVAI (HR = 1.75, 95% CI: 1.49-2.06). Interaction analysis revealed a negative interaction effect between high TyG and high CVAI on CVD and CHD risks, with no significant effect on stroke. Subgroup and sensitivity analyses further confirmed these findings, showing consistent results across demographic groups and under various analytical conditions. CONCLUSION This study suggests that the interaction between IR (TyG index) and visceral fat accumulation (CVAI) plays a complex role in CVD risk, with a potential antagonistic effect observed between high TyG and high CVAI on CVD events. These findings highlight the importance of considering both IR and visceral adiposity in CVD risk assessments to improve the identification of high-risk individuals.
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Affiliation(s)
- Yuhao Yang
- General Practice Ward/International Medical Center Ward, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China
| | - Shengxi Li
- Clinical Medical College, Southwest Medical University, Luzhou, China
| | - Qiao Ren
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China
| | - Yu Qiu
- General Practice Ward/International Medical Center Ward, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China
| | - Mengjia Pan
- General Practice Ward/International Medical Center Ward, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China
| | - Guanglei Liu
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China
| | - Rise Zheng
- General Practice Ward/International Medical Center Ward, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China
| | - Zhenmei An
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China
| | - Shuangqing Li
- General Practice Ward/International Medical Center Ward, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China.
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Guo C, He L, Tu Y, Xu C, Liao C, Lai H, Lin C, Tu H. Insulin resistance and sarcopenia: a prognostic longitudinal link to stroke risk in middle-aged and elderly Chinese population. BMC Public Health 2024; 24:2757. [PMID: 39385146 PMCID: PMC11465621 DOI: 10.1186/s12889-024-20214-4] [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: 05/13/2024] [Accepted: 09/27/2024] [Indexed: 10/11/2024] Open
Abstract
BACKGROUND Stroke is the leading cause of death in middle-aged and elderly people in China. Insulin resistance (IR) and sarcopenia are both closely associated with metabolic diseases. However, the relationship between these two indicators and stroke has not been fully investigated. The aim of this study was to investigate the relationship between IR and sarcopenia and the risk of new-onset stroke. METHODS Using longitudinal data from the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2018, Cox proportional hazards models were used to determine the association between IR surrogate indicators and sarcopenia status with stroke incidence. RESULTS In the present study, during a median 7 years of follow-up, we included 7009 middle-aged and elderly residents, of whom 515 presented with stroke incidence. After adjustment for potential confounders, both baseline IR surrogates and sarcopenia independently predicted stroke risk. In addition, co-morbidities had a higher risk of stroke than other groups. The positive association between TyG-WC and sarcopenia on stroke risk was particularly significant [HR (95% CI): 2.03 (1.52, 2.70)]. In subgroups of different ages and sexes, the combination of IR and sarcopenia is associated with the highest risk of stroke. CONCLUSIONS We found that IR and sarcopenia synergistically increase the incidence of stroke in older adults. This finding provides new perspectives for stroke detection and intervention and highlights the importance of early detection and management of IR and sarcopenia in older adults.
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Affiliation(s)
- Canhui Guo
- The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330006, China
- The Department of Geriatrics, The Second Affiliated Hospital of Nanchang University, 1 Minde Road, Nanchang, Jiangxi, 330006, China
| | - Ling He
- The Department of Geriatrics, The Second Affiliated Hospital of Nanchang University, 1 Minde Road, Nanchang, Jiangxi, 330006, China
| | - Yansong Tu
- Faculty of Science, University of Melbourne Grattan Street, Parkville, VIC, 3010, Australia
| | - Chunyan Xu
- The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330006, China
- The Department of Geriatrics, The Second Affiliated Hospital of Nanchang University, 1 Minde Road, Nanchang, Jiangxi, 330006, China
| | - Caifeng Liao
- The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330006, China
- The Department of Geriatrics, The Second Affiliated Hospital of Nanchang University, 1 Minde Road, Nanchang, Jiangxi, 330006, China
| | - Hurong Lai
- The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330006, China
- The Department of Geriatrics, The Second Affiliated Hospital of Nanchang University, 1 Minde Road, Nanchang, Jiangxi, 330006, China
| | - Chuyang Lin
- The Department of Geriatrics, The Second Affiliated Hospital of Nanchang University, 1 Minde Road, Nanchang, Jiangxi, 330006, China
| | - Huaijun Tu
- The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330006, China.
- The Department of Geriatrics, The Second Affiliated Hospital of Nanchang University, 1 Minde Road, Nanchang, Jiangxi, 330006, China.
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Matsui T, Kiuchi J, Kuriu Y, Arita T, Shimizu H, Nanishi K, Morimura R, Shiozaki A, Ikoma H, Kubota T, Fujiwara H, Otsuji E. Deep pelvis and low visceral fat mass as risk factors for neurogenic bladder after rectal cancer surgery. BMC Gastroenterol 2024; 24:323. [PMID: 39333910 PMCID: PMC11437677 DOI: 10.1186/s12876-024-03433-2] [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: 01/23/2024] [Accepted: 09/24/2024] [Indexed: 09/30/2024] Open
Abstract
BACKGROUND Postoperative neurogenic bladder (PONB) frequently occurs as a complication after rectal cancer surgery. This study aimed to analyze risk factors for developing PONB after rectal cancer surgery, particularly the association between pelvic anatomy and visceral fat mass. METHODS We included 138 patients who underwent rectal resection for lower rectal cancer in our department between 2017 and 2021. PONB was defined as the need for urethral catheter reinsertion or oral medication administration for urinary retention after catheter removal with severe NB that required treatment for ≥ 60 days. We obtained visceral fat area (VFA) at the umbilical level based on a CT scan and measured five pelvic dimensions. RESULTS Of the 138 patients, 19 developed PONB, with 16 being severe cases. PONB more frequently occurs in patients with a height of < 158 cm, age ≥ 70 years, surgery lasting ≥ 8 h, intraoperative bleeding volume ≥ 150 mL, lateral lymph node dissection, and narrower pelvis. It was more prevalent in cases with low VFA. Conversely, gender, body mass index (BMI), and medical history showed no significant correlations. Multivariate analysis revealed older age, prolonged surgery, and low VFA as independent risk factors for PONB. Independent risk factors for severe PONB included low VFA, older age, prolonged surgery, and deep pelvis. CONCLUSION Lower VFA, older age, and prolonged surgery are independent risk factors for developing PONB. Additionally, a deep pelvis is an independent risk factor for severe PONB. Delicate surgical techniques should consider the risk of nerve injury in cases with low VFA and deep pelvis.
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Affiliation(s)
- Tomohiro Matsui
- Division of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, 465, Kaji-Cho, Kamigyo-Ku, Kyoto, 602-8566, Japan
- Division of Digestive System Surgery, Department of Surgery, Iseikai International General Hospital, 4-14, Minami-Ogimachi, Kita-ku, Osaka, 530-0052, Japan
| | - Jun Kiuchi
- Division of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, 465, Kaji-Cho, Kamigyo-Ku, Kyoto, 602-8566, Japan.
| | - Yoshiaki Kuriu
- Division of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, 465, Kaji-Cho, Kamigyo-Ku, Kyoto, 602-8566, Japan
| | - Tomohiro Arita
- Division of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, 465, Kaji-Cho, Kamigyo-Ku, Kyoto, 602-8566, Japan
| | - Hiroki Shimizu
- Division of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, 465, Kaji-Cho, Kamigyo-Ku, Kyoto, 602-8566, Japan
| | - Kenji Nanishi
- Division of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, 465, Kaji-Cho, Kamigyo-Ku, Kyoto, 602-8566, Japan
| | - Ryo Morimura
- Division of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, 465, Kaji-Cho, Kamigyo-Ku, Kyoto, 602-8566, Japan
| | - Atsushi Shiozaki
- Division of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, 465, Kaji-Cho, Kamigyo-Ku, Kyoto, 602-8566, Japan
| | - Hisashi Ikoma
- Division of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, 465, Kaji-Cho, Kamigyo-Ku, Kyoto, 602-8566, Japan
| | - Takeshi Kubota
- Division of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, 465, Kaji-Cho, Kamigyo-Ku, Kyoto, 602-8566, Japan
| | - Hitoshi Fujiwara
- Division of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, 465, Kaji-Cho, Kamigyo-Ku, Kyoto, 602-8566, Japan
| | - Eigo Otsuji
- Division of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, 465, Kaji-Cho, Kamigyo-Ku, Kyoto, 602-8566, Japan
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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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Lin WQ, Chen JM, Yuan LX, Wang JY, Sun SY, Sun MY, Fang YY, Luo LY, Wang C, Liu H. Association between abdominal obesity indices and falls among older community-dwellers in Guangzhou, China: a prospective cohort study. BMC Geriatr 2024; 24:732. [PMID: 39232713 PMCID: PMC11373189 DOI: 10.1186/s12877-024-05319-0] [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: 05/21/2024] [Accepted: 08/20/2024] [Indexed: 09/06/2024] Open
Abstract
BACKGROUND Central obesity was considered as a risk factor for falls among the older population. Waist circumference (WC), lipid accumulation product (LAP), visceral adiposity index (VAI), and the Chinese visceral adiposity index (CVAI) are considered as surrogate markers for abdominal fat deposition in increasing studies. Nevertheless, the longitudinal relationship between these indices and falls among the older population remains indistinct. This study aimed to explore the association between abdominal obesity indices and falls among older community-dwellers. METHODS Our study included 3501 individuals aged ≥ 65 years from the Guangzhou Falls and Health Status Tracking Cohort at baseline in 2021 and then prospectively followed up in 2022. The outcome of interest was the occurrence of falls. The Kaplan-Meier curves and multivariable Cox regression analysis were used to explore the associations between abdominal obesity indices and falls. Moreover, the restricted cubic spline analysis (RCS) was conducted to test the non-linear relationships between abdominal obesity indices and hazards of falls incident. RESULTS After a median follow-up period of 551 days, a total of 1022 participants experienced falls. The cumulative incidence rate of falls was observed to be higher among individuals with central obesity and those falling within the fourth quartile (Q4) of LAP, VAI, and CVAI. Participants with central obesity and those in Q4 of LAP, VAI, and CVAI were associated with higher risk of falls, with hazard ratios (HRs) of 1.422 (HR 95%CI: 1.255-1.611), 1.346 (1.176-1.541), 1.270 (1.108-1.457), 1.322 (1.154-1.514), respectively. Each 1-SD increment in WC, LAP, VAI, and CVAI was a significant increased risk of falls among participants. Subgroup analysis further revealed these results were basically stable and appeared to be significantly stronger among those females, aged 65-69 years, and with body mass index (BMI) ≥ 28 kg/m2. Additionally, RCS curves showed an overall upward trend in the risk of falls as the abdominal indices increased. CONCLUSIONS Abdominal obesity indices, as WC, LAP, VAI, and CVAI were significantly associated with falls among older community-dwellers. Reduction of abdominal obesity indices might be suggested as the strategy of falls prevention.
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Affiliation(s)
- Wei-Quan Lin
- Department of Basic Public Health, Center for Disease Control and Prevention of Guangzhou, Guangzhou City, 510440, China
- Institute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou City, 510440, China
| | - Jia-Min Chen
- Department of Basic Public Health, Center for Disease Control and Prevention of Guangzhou, Guangzhou City, 510440, China
| | - Le-Xin Yuan
- Guangzhou Huiai Hospital, Brain Hospital of Guangzhou Medical University, Guangzhou City, 510440, China
| | - Jing-Ya Wang
- Institute of Applied Health Research, University of Birmingham, Birmingham, B152TT, UK
| | - Si-Yu Sun
- School of Public Health, Southern Medical University, Guangzhou City, 511436, China
| | - Min-Ying Sun
- Department of Basic Public Health, Center for Disease Control and Prevention of Guangzhou, Guangzhou City, 510440, China
- Institute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou City, 510440, China
| | - Ying-Ying Fang
- Department of Basic Public Health, Center for Disease Control and Prevention of Guangzhou, Guangzhou City, 510440, China
| | - Li-Ying Luo
- Department of Basic Public Health, Center for Disease Control and Prevention of Guangzhou, Guangzhou City, 510440, China
| | - Chang Wang
- Department of Basic Public Health, Center for Disease Control and Prevention of Guangzhou, Guangzhou City, 510440, China
| | - Hui Liu
- Department of Basic Public Health, Center for Disease Control and Prevention of Guangzhou, Guangzhou City, 510440, China.
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Huang X, Huang Y, Zhou H, Huang Z. Relationship between weight-adjusted-waist index and blood pressure as well as incident hypertension among middle-aged and elderly Chinese: A longitudinal study. Nutr Metab Cardiovasc Dis 2024; 34:2095-2106. [PMID: 39003136 DOI: 10.1016/j.numecd.2024.06.006] [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: 01/17/2024] [Revised: 05/11/2024] [Accepted: 06/11/2024] [Indexed: 07/15/2024]
Abstract
BACKGROUND AND AIM The Weight-Adjusted Waist Index (WWI) is a novel obesity metric linked to metabolic disorders. Its relationship with blood pressure and hypertension prevalence in middle-aged and elderly Chinese is unclear. This study examined the association between WWI, blood pressure, and hypertension incidence. METHODS AND RESULTS This cross-sectional study included 9298 participants from the China Health and Retirement Longitudinal Study, with 4120 non-hypertensive individuals enrolled in the cohort study. In the cross-sectional analysis, WWI was positively associated with systolic blood pressure (SBP) (Beta 0.88, 95% CI: 0.57-1.21, p < 0.001), showing stronger correlations than waist circumference (WC) (Beta 0.20, 95% CI: 0.16-0.23, p < 0.001) and body mass index (BMI) (Beta 0.63, 95% CI: 0.52-0.74, p < 0.001). WWI also showed a positive association with diastolic blood pressure (DBP) (Beta 0.51, 95% CI: 0.32-0.69, p < 0.001), stronger than those with WC (Beta 0.13, 95% CI: 0.11-0.15, p < 0.001) and BMI (Beta 0.43, 95% CI: 0.37-0.50, p < 0.001). In the longitudinal cohort study, there were 1325 (32%) incident cases of hypertension by the end of follow-up. WWI was positively associated with incident hypertension (OR 1.11, 95% CI: 1.04-1.18, p = 0.001), with a stronger predictive value than WC (OR 1.02, 95% CI: 1.01-1.03, p < 0.001) and BMI (OR 1.04, 95% CI: 1.02-1.06, p < 0.001). CONCLUSION Elevated WWI may serve as an independent risk factor for incident hypertension in the middle-aged and elderly Chinese population.
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Affiliation(s)
- XingJie Huang
- Department of Cardiology, The Second Affiliated Hospital of Guilin Medical University, Guilin, 541000, Guangxi, China
| | - Yuqing Huang
- Hypertension Laboratory, Department of Cardiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, Guangdong, China
| | - Hanli Zhou
- Department of Cardiology, The Second Affiliated Hospital of Guilin Medical University, Guilin, 541000, Guangxi, China
| | - Zehan Huang
- Department of Cardiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, Guangdong, China.
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Liu Y, Luo L, Gao Z. J-shaped relationship between Chinese visceral adiposity index and hyperuricemia: a cross-sectional study. Lipids Health Dis 2024; 23:267. [PMID: 39182084 PMCID: PMC11344316 DOI: 10.1186/s12944-024-02247-1] [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: 06/06/2024] [Accepted: 08/09/2024] [Indexed: 08/27/2024] Open
Abstract
BACKGROUND Recent years have seen the emergence of numerous novel indicators for visceral obesity. This study investigates the potential correlation between the Chinese visceral adiposity index (CVAI) and hyperuricemia (HUA). METHODS This research, derived from a 2011 cross-sectional analysis in Dalian, China, employed restricted cubic spline (RCS) plots to identify inflection points. Subsequently, one-way and multifactorial logistic regression models were utilized, with HUA as the outcome variable. Additionally, subgroup analyses and interaction tests were conducted. Eventually, receiver operating characteristic (ROC) curves were calculated to assess the effectiveness of CVAI and other body composition indices in predicting HUA. RESULTS The study included 10,061 individuals, with a HUA prevalence of 14.25%. Significant relationships with HUA were observed for CVAI. RCS analysis revealed a J-shaped relationship between CVAI and HUA. Compared to those in the low CVAI category, HUA was notably associated with individuals in the high CVAI category in multifactorial logistic regression (OR = 2.661, 95% CI: 2.323, 3.047). Subgroup analyses demonstrated stronger relationships in women, participants without hypertension, and participants without diabetes. Additional modeling via ROC curves suggested that the CVAI may offer effective predictive value for HUA. CONCLUSION This study confirmed that an elevated CVAI elevates the risk of HUA in middle-aged and elderly populations in the Dalian community. The findings advance obesity prevention strategies that mitigate HUA risk and support healthcare initiatives for China's aging population.
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Affiliation(s)
- Yuntong Liu
- China Medical University, Shenyang, China
- Department of Endocrinology, Dalian Municipal Central Hospital, Dalian, China
| | - Lan Luo
- Department of Endocrinology, Dalian Municipal Central Hospital, Dalian, China.
| | - Zhengnan Gao
- Department of Endocrinology, Dalian Municipal Central Hospital, Dalian, 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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Ye X, Zhang G, Han C, Wang P, Lu J, Zhang M. The association between Chinese visceral adiposity index and cardiometabolic multimorbidity among Chinese middle-aged and older adults: a national cohort study. Front Endocrinol (Lausanne) 2024; 15:1381949. [PMID: 38601202 PMCID: PMC11004471 DOI: 10.3389/fendo.2024.1381949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Accepted: 03/18/2024] [Indexed: 04/12/2024] Open
Abstract
Objective This study aimed to explore the association between the Chinese visceral adiposity index (CVAI) and cardiometabolic multimorbidity in middle-aged and older Chinese adults. Methods The data used in this study were obtained from a national cohort, the China Health and Retirement Longitudinal Study (CHARLS, 2011-2018 wave). The CVAI was measured using previously validated biomarker estimation formulas, which included sex, age, body mass index, waist circumference, triglycerides, and high-density lipoprotein cholesterol. The presence of two or more of these cardiometabolic diseases (diabetes, heart disease, and stroke) is considered as cardiometabolic multimorbidity. We used Cox proportional hazard regression models to examine the association between CVAI and cardiometabolic multimorbidity, adjusting for a set of covariates. Hazard ratios (HRs) and 95% confidence intervals (CIs) were used to show the strength of the associations. We also conducted a subgroup analysis between age and sex, as well as two sensitivity analyses. Receiver operator characteristic curves (ROC) were used to test the predictive capabilities and cutoff value of the CVAI for cardiometabolic multimorbidity. Results A total of 9028 participants were included in the final analysis, with a mean age of 59.3 years (standard deviation: 9.3) and women accounting for 53.7% of the sample population. In the fully-adjusted model, compared with participants in the Q1 of CVAI, the Q3 (HR = 2.203, 95% CI = 1.039 - 3.774) and Q4 of CVAI (HR = 3.547, 95% CI = 2.100 - 5.992) were associated with an increased risk of cardiometabolic multimorbidity. There was no evidence of an interaction between the CVAI quartiles and sex or age in association with cardiometabolic multimorbidity (P >0.05). The results of both sensitivity analyses suggested that the association between CVAI and cardiometabolic multimorbidity was robust. In addition, the area under ROC and ideal cutoff value for CVAI prediction of cardiometabolic multimorbidity were 0.685 (95% CI = 0.649-0.722) and 121.388. Conclusion The CVAI is a valid biomarker with good predictive capability for cardiometabolic multimorbidity and can be used by primary healthcare organizations in the future for early warning, prevention, and intervention with regard to cardiometabolic multimorbidity.
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Affiliation(s)
- Xiaomei Ye
- Department of Endocrinology, Qingpu Branch of Zhongshan Hospital Affiliated to Fudan University, Shanghai, China
| | - Guangru Zhang
- Department of General Practice, Community Health Service Center Xiayang Street, Shanghai, China
| | - Chenyu Han
- Department of Endocrinology, Qingpu Branch of Zhongshan Hospital Affiliated to Fudan University, Shanghai, China
| | - Ping Wang
- Department of Endocrinology, Qingpu Branch of Zhongshan Hospital Affiliated to Fudan University, Shanghai, China
| | - Jiaping Lu
- Department of Endocrinology, Qingpu Branch of Zhongshan Hospital Affiliated to Fudan University, Shanghai, China
| | - Min Zhang
- Department of Endocrinology, Qingpu Branch of Zhongshan Hospital Affiliated to Fudan University, Shanghai, China
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24
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Dong T, Lin W, Zhou Q, Yang Y, Liu X, Chen J, Liu H, Zhang C. Association of adiposity indicators with cardiometabolic multimorbidity risk in hypertensive patients: a large cross-sectional study. Front Endocrinol (Lausanne) 2024; 15:1302296. [PMID: 38577567 PMCID: PMC10991765 DOI: 10.3389/fendo.2024.1302296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 03/08/2024] [Indexed: 04/06/2024] Open
Abstract
Background Cardiometabolic multimorbidity (CMM) has emerged as a prominent public health concern. Hypertensive patients are prone to develop comorbidities. Moreover, the accumulation of visceral adipose tissue is the main cause for the development of cardiometabolic diseases. The cardiometabolic index (CMI), lipid accumulation product (LAP), visceral adiposity index (VAI), and Chinese visceral adiposity index (CVAI) not only assess adipose tissue mass but also reflect adipose tissue dysfunction. So far, no study has been reported to evaluate the association of CMI, LAP, VAI, and CVAI with CMM risk in hypertensive patients. Therefore, this study aimed to assess the association between these adiposity indicators and the risk of CMM among Chinese hypertensive patients. Methods In this cross-sectional study, a total of 229,287 hypertensive patients aged 35 years and older were included from the National Basic Public Health Service Project. All participants underwent a face-to-face questionnaire survey, physical examination, and the collection of fasting venous blood samples. Multivariable logistic regression models were performed to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Receiver operating characteristic curve was utilized to evaluate the identification ability for CMM. Results After adjusting for confounders, each 1-standard deviation increase in CMI, LAP, VAI, and CVAI was associated with a 14%, 8%, 12%, and 54% increased risk of CMM, respectively. When comparing the highest quartile of these indicators with the lowest quartile, individuals in the highest quartile of CMM, LAP, VAI, and CVAI had a 1.39-fold (95% CI 1.30, 1.48), 1.28-fold (95% CI 1.19, 1.37), 1.37-fold (95% CI 1.29, 1.46), and 2.56-fold (95% CI 2.34, 2.79) increased risk of CMM after adjusting for potential confounders. Notably, a nonlinear association was observed for CMI, LAP, and VAI with the risk of CMM (all P nonlinearity < 0.001). CVAI exhibited the highest area under the receiver operating characteristic curve (AUC) among all the included adiposity indices in this analysis. Conclusion This study indicated the significant positive association of CMI, LAP, VAI, and CVAI with the risk of CMM in hypertensive patients. Among these indicators, CVAI demonstrated the most robust performance in predicting CMM risk and may serve as a valuable tool for identifying CMM risk in Chinese hypertensive patients.
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Affiliation(s)
- Ting Dong
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Weiquan Lin
- Department of Basic Public Health, Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Qin Zhou
- Department of Basic Public Health, Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Yunou Yang
- Department of Basic Public Health, Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Xiangyi Liu
- Department of Basic Public Health, Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Jiamin Chen
- Department of Basic Public Health, Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Hui Liu
- Department of Basic Public Health, Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Caixia Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
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