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Kong X, Wang Q, Wang H, Yang Y, Guo L, Song S, Zhao Y, Ma X, Wang X, Sun Q. Association of lipid accumulation products, or cardiometabolic index with asymptomatic intracranial arterial stenosis: A population-based study in Shandong, China. J Stroke Cerebrovasc Dis 2025; 34:108273. [PMID: 40044095 DOI: 10.1016/j.jstrokecerebrovasdis.2025.108273] [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: 12/09/2024] [Revised: 02/11/2025] [Accepted: 03/02/2025] [Indexed: 03/30/2025] Open
Abstract
OBJECTIVES This study aimed to investigate the association of novel obesity indicators (lipid accumulation product [LAP] and cardiometabolic index [CMI]) with asymptomatic intracranial arterial stenosis (aICAS), particularly in different obesity statuses. MATERIALS AND METHODS The study included 1994 participants (aged ≥ 40 years) from the Rose Asymptomatic Intracranial Artery Stenosis (RICAS) study, free of stroke or transient ischemic attack. Participants with aICAS were screened using transcranial Doppler ultrasound and diagnosed via magnetic resonance angiography. Multivariate logistic regression and receiver operating characteristic (ROC) curves were used to explore the association of LAP or CMI with aICAS. RESULTS A total of 146 participants were diagnosed with aICAS. Higher levels of LAP and CMI were associated with aICAS, particularly with moderate-to-severe aICAS. Notably, LAP was significantly associated with aICAS (OR 1.58; 95 % CI, 1.00-2.49; P = 0.048), and was showed the highest area under the curve (AUC, 0.654) among the three indicators (LAP, CMI, and BMI) in underweight and normal weight participants (Body mass index [BMI] ≤23.9 kg/m²). In the obesity population (BMI ≥28.0 kg/m2), CMI was significantly associated with aICAS (OR 1.40; 95 % CI, 1.11-1.77; P = 0.005), and was showed the highest AUC (0.610). CONCLUSIONS This study found a positive association between elevated levels of LAP or CMI and aICAS. Furthermore, LAP was significantly correlated with aICAS in underweight and normal weight individuals, while CMI was associated with aICAS in obesity individuals. Our findings may provide additional risk stratification information for aICAS.
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Affiliation(s)
- Xianglong Kong
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
| | - Qiao Wang
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
| | - Hailing Wang
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
| | - Yumeng Yang
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.
| | - Liying Guo
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.
| | - Shiqing Song
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.
| | - Yuanyuan Zhao
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
| | - Xiaotong Ma
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
| | - Xiang Wang
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
| | - Qinjian Sun
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China; Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.
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Assani MZ, Novac MB, Dijmărescu AL, Văduva CC, Vladu IM, Clenciu D, Mitrea A, Ahrițculesei RV, Stroe-Ionescu AȘ, Assani AD, Caragea DC, Boldeanu MV, Siloși I, Boldeanu L. Potential Association Between Atherogenic Coefficient, Prognostic Nutritional Index, and Various Obesity Indices in Diabetic Nephropathy. Nutrients 2025; 17:1339. [PMID: 40284203 PMCID: PMC12030341 DOI: 10.3390/nu17081339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2025] [Revised: 04/10/2025] [Accepted: 04/11/2025] [Indexed: 04/29/2025] Open
Abstract
Background/Objectives: Type 2 diabetes mellitus (T2DM), is a rapidly growing global health concern, often accompanied by chronic kidney disease (CKD) and metabolic disturbances. Obesity-related indices, such as the visceral adiposity index (VAI) and body adiposity index (BAI), have been linked to cardiovascular and renal complications in diabetic patients. However, studies integrating both the atherogenic coefficient (AC) and prognostic nutritional index (PNI) for evaluating diabetic nephropathy (DN) remain limited. This study aimed to assess the associations of obesity-related indices with immunological and nutritional factors in patients with T2DM and prediabetes (PreDM). Methods: A retrospective, cross-sectional study was conducted over six months at a university clinical hospital in Dolj County, Romania. The study enrolled 268 newly diagnosed T2DM patients and 150 PreDM patients. Anthropometric parameters, laboratory tests, and demographic data were collected. AC and PNI were calculated using standard formulas, and statistical analyses were performed to determine their associations with metabolic and inflammatory markers. Results: Our study found that T2DM patients had significantly lower PNI values, indicating mild malnutrition, while PreDM patients maintained a normal nutritional status. AC was significantly higher in T2DM patients, correlating with lipid profile alterations and systemic inflammation. Obesity indices, particularly VAI, were significantly elevated in T2DM patients with higher AC values. Statistically significant differences in total cholesterol, low-density lipoprotein cholesterol (LDL-c), and triglycerides were observed between AC subgroups, reinforcing its role in cardiovascular risk assessment. Conclusions: The findings highlight the potential of AC and PNI as biomarkers for assessing nutritional, inflammatory, and lipemic status in diabetic patients. The significant associations between obesity-related indices, lipid profiles, and inflammation markers suggest that early assessment of these parameters may potentially aid in predicting diabetic complications. Further studies are needed to explore the clinical utility of AC and PNI in managing T2DM and CKD progression. Future research should investigate how the lipidic spectrum alters the progression of DN across various patient groups with diabetes and prediabetes.
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Affiliation(s)
- Mohamed-Zakaria Assani
- Doctoral School, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania; (M.-Z.A.); (R.-V.A.); (A.-Ș.S.-I.); (A.-D.A.)
- Department of Immunology, Faculty of Medicine, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania;
| | - Marius Bogdan Novac
- Department of Anesthesiology and Intensive Care, Faculty of Medicine, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania;
| | - Anda Lorena Dijmărescu
- Department of Obstetrics and Gynecology, Faculty of Medicine, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania; (A.L.D.); (C.-C.V.)
| | - Constantin-Cristian Văduva
- Department of Obstetrics and Gynecology, Faculty of Medicine, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania; (A.L.D.); (C.-C.V.)
| | - Ionela Mihaela Vladu
- Department of Diabetes, Nutrition and Metabolic Diseases, Faculty of Medicine, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania; (I.M.V.); (D.C.); (A.M.)
| | - Diana Clenciu
- Department of Diabetes, Nutrition and Metabolic Diseases, Faculty of Medicine, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania; (I.M.V.); (D.C.); (A.M.)
| | - Adina Mitrea
- Department of Diabetes, Nutrition and Metabolic Diseases, Faculty of Medicine, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania; (I.M.V.); (D.C.); (A.M.)
| | - Roxana-Viorela Ahrițculesei
- Doctoral School, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania; (M.-Z.A.); (R.-V.A.); (A.-Ș.S.-I.); (A.-D.A.)
| | - Alexandra-Ștefania Stroe-Ionescu
- Doctoral School, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania; (M.-Z.A.); (R.-V.A.); (A.-Ș.S.-I.); (A.-D.A.)
| | - Alexandru-Dan Assani
- Doctoral School, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania; (M.-Z.A.); (R.-V.A.); (A.-Ș.S.-I.); (A.-D.A.)
| | - Daniel Cosmin Caragea
- Department of Nephrology, Faculty of Medicine, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania
| | - Mihail Virgil Boldeanu
- Department of Immunology, Faculty of Medicine, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania;
| | - Isabela Siloși
- Department of Immunology, Faculty of Medicine, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania;
| | - Lidia Boldeanu
- Department of Microbiology, Faculty of Medicine, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania;
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Zhang J, Li M, Wang T, Tian W, Ju J, Xu H. Association between visceral adiposity index and all-cause and cardiovascular mortality in the non-elderly adults. Front Endocrinol (Lausanne) 2025; 16:1523731. [PMID: 40060375 PMCID: PMC11885296 DOI: 10.3389/fendo.2025.1523731] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2024] [Accepted: 02/04/2025] [Indexed: 05/13/2025] Open
Abstract
Background The visceral adiposity index (VAI) reflects changes in visceral adipose function and is also linked to cardiometabolic risk. The study aimed to investigate the association between VAI and both all-cause mortality and cardiovascular mortality in the U.S. population aged 20-65 years. Methods This study included data from 9,094 American adults aged 20-65 years from the 2009-2018 National Health and Nutrition Examination Survey (NHANES). The exposure variable was VAI, while the outcome variables were all-cause and cardiovascular mortality. The Cox regression model was employed to explore the correlation between VAI and mortality among participants. Restricted cubic splines (RCS) were used to explore the nonlinear associations, and a two-piecewise Cox proportional hazards model was applied on both sides of the inflection point. We used subgroup analyses and interaction tests to further investigate the association between VAI and mortality in different populations. Additionally, time-dependent Receiver Operating Characteristic (ROC) curve analyses were performed to evaluate the capability of VAI in forecasting survival. Results During a median follow-up period of 74 months, 251 deaths from all causes and 50 cardiovascular-related deaths were recorded. RCS analyses did not find a nonlinear correlation between VAI and all-cause mortality (P for overall = 0.0006, P for nonlinear = 0.9927) but showed a nonlinear correlation with cardiovascular mortality (P for overall = 0.0010, P for nonlinear = 0.0062). For cardiovascular mortality, when VAI was below the threshold value (2.49), a significant positive association was observed with cardiovascular mortality. When VAI was below 2.49, the risk of cardiovascular mortality increased by 122 percent for each unit increase in VAI (HR=2.22, 95% CI:1.36-3.61). For VAI ≥ 2.49, changes in VAI did not significantly impact cardiovascular mortality risk. In subgroup analyses, the stratified results remained consistent, with no significant interactions observed in any of the subgroups (all P for interaction> 0.05). Furthermore, the areas under the curve (AUC) for 2-, 5-, and 10-year survival rates were 0.82, 0.80, and 0.79 for all-cause mortality and 0.86, 0.86, and 0.82 for cardiovascular mortality, respectively. Conclusion VAI was found to have a positive association with all-cause mortality and a nonlinear association with cardiovascular mortality in the non-elderly adults, with a threshold value of 2.49 for cardiovascular mortality.
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Affiliation(s)
- Jiqian Zhang
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Ming Li
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Tongxin Wang
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, China Academy of Chinese Medical Sciences, Beijing, China
| | - Wende Tian
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, China Academy of Chinese Medical Sciences, Beijing, China
| | - Jianqing Ju
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Hao Xu
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
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Yang X, Wang M, Ren L, Shon K, Cui G, Cheng Y, Sun Z, Wang X. Association between visceral adiposity index and bowel habits and inflammatory bowel disease: a cross-sectional study. Sci Rep 2024; 14:23923. [PMID: 39397029 PMCID: PMC11471843 DOI: 10.1038/s41598-024-73864-0] [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: 01/31/2024] [Accepted: 09/22/2024] [Indexed: 10/15/2024] Open
Abstract
Obesity has become a global public health problem, and its relationship with gastrointestinal diseases has become a major concern. The visceral adiposity index (VAI) is a novel index to assess the distribution and content of visceral fat, and this study aimed to investigate the association between VAI and bowel habits (chronic diarrhea, chronic constipation) and inflammatory bowel disease (IBD). The 2005-2010 National Health and Nutrition Examination Survey (NHANES) dataset was used for the cross-sectional survey. Bowel habits and IBD were defined by self-report. Multiple logistic regression models were used to test the linear association of VAI with bowel habits and IBD. Fitted smoothed curves and threshold effects analyses were used to characterize nonlinear relationships. This cross-sectional study included 10,391 adults (≥ 20 years). After adjusting for covariates, there was a significant negative association between VAI and chronic constipation (OR [95% CI]: 0.97 [0.95, 1.00]) but no significant association with IBD (OR [95% CI]: 0.97 [0.87, 1.07]). Additionally, there was a nonlinear association between VAI and chronic diarrhea with a breakpoint of 3.08, with a positive correlation between the two on the left side of the breakpoint and no statistical significance on the right side. Subgroup analyses and interaction tests showed that maintaining sleep health was associated with a low risk of chronic constipation. Elevated VAI levels were negatively associated with chronic constipation, and elevated levels were positively associated with chronic diarrhea at VAI < 3.08. This reminds us that maintaining moderate levels of visceral fat may prevent the onset of chronic constipation and circumvent the risk of chronic diarrhea. Notably, maintaining healthy sleep may play a positive role in reducing chronic constipation.
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Affiliation(s)
- Xiaoxian Yang
- Nanjing University of Chinese Medicine, Nanjing, China
| | - Manli Wang
- Nanjing University of Chinese Medicine, Nanjing, China
| | - Lang Ren
- Nanjing University of Chinese Medicine, Nanjing, China
| | - Kinyu Shon
- Nanjing University of Chinese Medicine, Nanjing, China
| | - Guoliang Cui
- Nanjing University of Chinese Medicine, Nanjing, China
| | - Yiyao Cheng
- Nanjing University of Chinese Medicine, Nanjing, China
| | - Zhiguang Sun
- Nanjing University of Chinese Medicine, Nanjing, China.
| | - Xiaohong Wang
- Xuzhou Hospital of Traditional Chinese Medicine, Xuzhou, China.
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Papathanasiou KA, Roussos CE, Armylagos S, Rallidis SL, Rallidis LS. Lipid Accumulation Product Is Predictive of Cardiovascular Hospitalizations among Patients with Stable Ischemic Heart Disease: Long-Term Follow-Up of the LAERTES Study. J Cardiovasc Dev Dis 2024; 11:316. [PMID: 39452286 PMCID: PMC11508490 DOI: 10.3390/jcdd11100316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2024] [Revised: 09/29/2024] [Accepted: 10/07/2024] [Indexed: 10/26/2024] Open
Abstract
(1) Background: Lipid accumulation product (LAP) is an anthropometric index of abdominal adiposity that has been associated with increased cardiovascular risk. We aimed to explore the association of LAP with cardiovascular hospitalizations and compare its predictive accuracy with other indices such as body mass index (BMI) and waist circumference. (2) Methods: LAERTES was a prospective, population-based cohort that recruited consecutive patients with stable ischemic heart disease (SIHD) from two Greek hospitals in Athens. Data from 770 participants (13% women, median age 62 years) with a median follow-up of 4.3 years were analyzed in relation to the occurrence of adverse cardiovascular events mandating hospital admission (non-fatal myocardial infarction [MI], non-fatal ischemic stroke and malignant ventricular arrhythmias). (3) Results: A total of 127 (16.5%) of the participants were admitted to cardiology clinics over the follow-up period; 12.4% of them developed MI, 2.6% ventricular arrhythmia and 1.5% ischemic stroke. Patients with cardiovascular hospitalization had higher BMI, larger waist circumference, higher LAP and triglycerides and lower HDL-cholesterol than patients without hospitalization. Upper LAP quartile and hypertension were independent predictors for cardiovascular hospitalization (HR: 2.20, 95% CI: 1.12-4.34, p = 0.02 and HR: 1.57, 95% CI: 1.03-2.39, p = 0.03, respectively). (4) Conclusions: Higher LAP quartiles are predictive of adverse cardiovascular events leading to hospital admission and deserve further evaluation in dedicated studies.
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Affiliation(s)
- Konstantinos A. Papathanasiou
- 2nd Department of Cardiology, Medical School, National and Kapodistrian University of Athens, University General Hospital ATTIKON, Rimini 1, Chaidari, 12462 Athens, Greece
| | - Christos Eleftherios Roussos
- 2nd Department of Cardiology, Medical School, National and Kapodistrian University of Athens, University General Hospital ATTIKON, Rimini 1, Chaidari, 12462 Athens, Greece
| | - Stylianos Armylagos
- 2nd Department of Cardiology, Medical School, National and Kapodistrian University of Athens, University General Hospital ATTIKON, Rimini 1, Chaidari, 12462 Athens, Greece
| | - Stylianos L. Rallidis
- Biomedical Sciences, University of Nicosia Medical School, Saint Nicholas 93, Egkomi 2408, Cyprus
| | - Loukianos S. Rallidis
- 2nd Department of Cardiology, Medical School, National and Kapodistrian University of Athens, University General Hospital ATTIKON, Rimini 1, Chaidari, 12462 Athens, Greece
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Shen F, Guo C, Zhang D, Liu Y, Zhang P. Visceral adiposity index as a predictor of type 2 diabetes mellitus risk: A systematic review and dose-response meta-analysis. Nutr Metab Cardiovasc Dis 2024; 34:811-822. [PMID: 38326187 DOI: 10.1016/j.numecd.2023.04.009] [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: 11/25/2022] [Revised: 04/02/2023] [Accepted: 04/07/2023] [Indexed: 02/09/2024]
Abstract
AIMS Considering the positive association between visceral adiposity index (VAI) and type 2 diabetes mellitus (T2DM), no comprehensive assessment on the summarized and dose-response relationship between VAI and T2DM has yet been reported. Therefore, we performed a meta-analysis, including dose-response analysis, to quantitively elucidate this association. DATA SYNTHESIS MEDLINE via PubMed and Embase databases were searched for relevant articles up to December 14, 2021. Random-effects generalized least squares regression models were used to assess the quantitative association between VAI and T2DM risk across studies. Restricted cubic splines were used to model the dose-response association. A total of 9 prospective cohort studies and 5 cross sectional studies were included in our review. Based on the meta-analysis, the pooled RR of T2DM was 2.05 (95% CI 1.74-2.41) for the highest versus reference VAI category. We found that the risk of T2DM was increased by 44% (RR, 1.44; 95% CI, 1.23-1.68) with each 1-unit increment of VAI. While, we found no evidence of a nonlinear dose-response association of VAI and T2DM (Pnon-linearity = 0.428). With the linear cubic spline model, when compared to population with VAI at 0.6, for those with VAI at 2.0, the risk of T2DM was increased by 81% (RR, 1.81; 95% CI 1.55-2.12). CONCLUSIONS Our meta-analysis provides quantitative data suggesting that VAI is associated with an increased risk of T2DM. Public health strategies focusing on weight loss among obesity, especially the people characterized by the thin-on-the-outside--fat-on-the-inside phenotype could possibly reduce a substantial risk of T2DM. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42022372666.
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Affiliation(s)
- Fang Shen
- Department of Clinical Nutrition, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, China.
| | - Changman Guo
- Department of Prevention and Treatment of infectious disease, Center for Disease Control and Prevention of Xihu District, Hangzhou, Zhejiang, 310000, China.
| | - Dongdong Zhang
- Department of Nutrition and Food Hygiene, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China.
| | | | - Pianhong Zhang
- Department of Clinical Nutrition, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, China.
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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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Huang Q, Yin L, Liu Z, Wei M, Feng J, Huang Q, Liu Y, Liu Z, Xia J. Association of novel lipid indicators with the risk of stroke among participants in Central China: a population-based prospective study. Front Endocrinol (Lausanne) 2023; 14:1266552. [PMID: 37850101 PMCID: PMC10577285 DOI: 10.3389/fendo.2023.1266552] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 09/18/2023] [Indexed: 10/19/2023] Open
Abstract
Background Several easily and inexpensively measured indicators of visceral adiposity dysfunction are currently available, but it remains unclear whether they are correlated with stroke risk in the community-dwelling population. We aimed to examine the longitudinal association of the triglyceridemic-waist phenotypes, the triglyceride glucose (TyG) index, as well as TyG-related indicators with stroke risk. Methods In this study, we conducted a prospective cohort study in Hunan, a region located in Central China, where the prevalence of stroke is relatively high. We included a total of 20185 subjects aged ≥40 years between November 2017 and December 2018. Triglyceride glucose-body mass index (TyG-BMI) and triglyceride glucose-waist circumference (TyG-WC) were calculated as multiplying TyG index by BMI and WC, respectively. Triglyceride waist phenotypes were categorized into four phenotypes: HTGW (elevated triglyceride and enlarged WC), NTNW (normal triglyceride and normal WC); HTNW (high triglyceride and normal WC), and NTGW (normal triglyceride and enlarged WC). We constructed a multivariable Cox regression model to assess the association between these novel lipid indicators and the risk of stroke. Subgroup analysis was conducted to test the robustness of our research findings. ROC curve was used for assessing the predictive ability of different stroke risk indices. Results After 2 years of follow- up, 135 participants experienced new stroke events. After adjusting for potential confounders, we found that participants with HTGW had higher likelihood of stroke (HR: 1.96, 95% CI: 1.21 to 3.16). However, we did not find significant associations for HTNW (HR: 1.42, 95% CI: 0.91 to 2.21) and NTGW (HR: 1.09, 95% CI 0.67 to 1.78). when compared to participants in the first TyG quartile, those in the fourth TyG quartile were associated with a 2.06-fold (95% CI: 1.22, 3.50) risk of stroke. Each 1-SD increase in TyG, TyG-BMI, and TyG-WC was associated with a higher risk of stroke, with adjusted HRs of 1.34 (95% CI: 1.11 to 1.61), 1.35 (95% CI: 1.14 to 1.59), and 1.23 (95% CI: 1.04 to 1.46), respectively. In subgroup analyses, those positive relationships appeared to be stronger among male participants with lower levels of physical activity and smoking. Conclusion HTGW, along with higher levels of TyG and TyG-related indicators, were found to be associated with an elevated risk of stroke. HTGW and these novel lipid indicators might be reliable indicators to identify populations at elevated risk of stroke.
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Affiliation(s)
- Qin Huang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Department of Neurology, Peking University People’s Hospital, Beijing, China
| | - Li Yin
- Departement of Chronic Disease, Hunan Provincial Center for Disease Control and Prevention, Changsha, China
| | - Zeyu Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Minping Wei
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jie Feng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Qing Huang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yunhai Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Zunjing Liu
- Department of Neurology, Peking University People’s Hospital, Beijing, China
| | - Jian Xia
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Clinical Research Center for Cerebrovascular Disease of Hunan Province, Central South University, Changsha, China
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9
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Liu Z, Deng B, Huang Q, Tu R, Yu F, Xia J, Feng J. Comparison of seven surrogate insulin resistance indexes for predicting the prevalence of carotid atherosclerosis in normal-weight individuals. Front Public Health 2023; 11:1241523. [PMID: 37719743 PMCID: PMC10501451 DOI: 10.3389/fpubh.2023.1241523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 08/18/2023] [Indexed: 09/19/2023] Open
Abstract
Introduction The aim of this study was to assess the correlation between surrogate insulin resistance (IR) indexes and carotid atherosclerosis (CA) in normal-weight populations, as well as compared their ability to predict CA. Method A total of 26,795 middle-aged and older adult individuals with normal body weights were included. Triglyceride-glucose index (TyG), TyG-body mass index, TyG-waist circumference (TyG-WC), TyG-waist-to-height ratio (TyG-WHtR), visceral adiposity index, Chinese VAI (CVAI) and lipid accumulation product (LAP) were determined using established formulas. The associations between these surrogate indexes and CA were assessed using logistic regression models and restricted cubic spline (RCS) analysis. Receiver operating characteristic curves were utilized to compare the performance of these indexes for predicting CA. Result The levels of all seven surrogate indexes of IR were significantly higher in normal-weight individuals with CA than in those without CA (p < 0.001). In the full-adjusted model, only CVAI, TyG-WC, TyG-WHtR and LAP were significantly associated with CA, with the adjusted odds ratios (95% CI) of CA being 1.25 (1.20-1.30), 1.18 (1.14-1.23), 1.20 (1.16-1.25) and 1.25 (1.18-1.32) for each one standard deviation increase in CVAI, TyG-WC, TyG-WHtR and LAP, respectively. RCS analysis revealed a significant increase in the prevalence of CA among normal-weight individuals with CVAI >89.83, LAP >28.91, TyG-WHtR >4.42 and TyG-WC >704.93. The area under the curve for CVAI was significantly greater than for other indexes (p < 0.001). Conclusion CVAI, TyG-WC, TyG-WHtR and LAP were independently associated with the prevalence of CA. Specifically, CVAI may be the most appropriate predictor of CA in normal-weight individuals.
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Affiliation(s)
- Zeyu Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Bi Deng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Qin Huang
- Department of Neurology, Peking University People's Hospital, Beijing, China
| | - Ruxin Tu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Fang Yu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jian Xia
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Clinical Research Center for Cerebrovascular Disease of Hunan Province, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jie Feng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Clinical Research Center for Cerebrovascular Disease of Hunan Province, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
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Zheng L, Sun A, Han S, Qi R, Wang R, Gong X, Xue M. Association between visceral obesity and 10-year risk of first atherosclerotic cardiovascular diseases events among American adults: National Health and Nutrition Examination Survey. Front Cardiovasc Med 2023; 10:1249401. [PMID: 37674809 PMCID: PMC10479018 DOI: 10.3389/fcvm.2023.1249401] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 08/07/2023] [Indexed: 09/08/2023] Open
Abstract
Background In the United States, the relationship between visceral obesity and the risk of developing atherosclerosis cardiovascular disease (ASCVD) for the first time in 10 years is unclear. Methods Data for this cross-sectional study came from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2020. We collected variable information related to 10-year ASCVD risk and visceral obesity reliable indicators [Visceral obesity index (VAI) and Lipid accumulation product (LAP)]. And we used multiple logistic regression to analyze the correlation of visceral obesity indicators (VAI and LAP) with 10-year ASCVD risk. In addition, we assessed the linear relationship between VAI or LAP and 10-year ASCVD risk by smoothing curve fitting. Finally, we conducted subgroup analysis and sensitivity analysis after excluding participants with extreme VAI and LAP values to ensure that we obtained accurate and reliable results. Results Our study included a total of 1,547 participants (mean age: 56.5 ± 10.1, 60% of males). The results of the multiple logistic regression showed that compared with participants with the lowest VAI in the 1st Quartile (≤0.79), the adjusted OR values for VAI and elevated 10-year ASCVD risk in Q3 (1.30-2.14), and Q4 (≥2.15) were 2.58 (95% CI: 1.24-5.36, P = 0.011), 15.14 (95% CI: 6.93-33.05, P < 0.001), respectively. Compared with participants with the lowest LAP in the 1st Quartile (≤28.29), the adjusted OR values for VAI and elevated 10-year ASCVD risk in Q3 (46.52-77.00), and Q4 (≥77.01) were 4.63 (95% CI: 2.18-9.82, P < 0.001), 16.94 (95% CI: 6.74-42.57, P < 0.001), respectively. Stratified analysis showed that the association between VAI or LAP and the first ASCVD event was more pronounced in males. Conclusion Higher VAI or LAP scores are significantly associated with elevated 10-year ASCVD risk in adults aged 40 to 79 in the USA, which suggested that monitoring visceral obesity is crucial to reduce the risk of a first ASCVD event.
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Affiliation(s)
- Liying Zheng
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Aochuan Sun
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Senfu Han
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Rongming Qi
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Rumeng Wang
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Xiao Gong
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Mei Xue
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
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