Dose-response association of Chinese visceral adiposity index with comorbidity of hypertension and diabetes mellitus among elderly people

Relationship between trajectory of Chinese visceral adiposity index and risk of type 2 diabetes mellitus: Evidence from the China-PAR project

AIMS

This study aimed to identify the distinct change trajectories of the Chinese visceral adiposity index (CVAI) over time and to investigate their associations with risk of type 2 diabetes mellitus (T2DM).

MATERIALS AND METHODS

This study included 52 394 participants from the prospective project, the Prediction for Atherosclerotic Cardiovascular Disease Risk in China (China-PAR). The CVAI was calculated using measures of age, body mass index, waist circumference, triglycerides and high-density lipoprotein cholesterol. Latent mixture modelling was conducted to fit distinct trajectory patterns. The logistic regression model was applied to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the risk of T2DM with various CVAI trajectory patterns.

RESULTS

Four distinct CVAI trajectory patterns were identified: low-increasing, moderate-increasing, moderate high-increasing and high-increasing. Compared with low-increasing CVAI, participants with moderate-increasing (OR 1.73, 95% CI 1.49-2.00), moderate high-increasing (3.48, 3.01-4.03) and high-increasing CVAI (5.50, 4.67-6.47) had a significantly increased risk of T2DM. Similar trajectory patterns were identified in both men and women. The ORs (95% CI) for moderate-increasing, moderate high-increasing and high-increasing groups were 3.28 (2.56-4.19), 7.85 (6.09-10.13) and 13.21 (9.98-17.49) in women respectively, and 1.20 (0.99-1.45), 2.18 (1.82-2.62) and 3.60 (2.93-4.43) in men respectively, when compared to the low-increasing CVAI group. Further, significant effect modifications for age, smoking and physical activity (all Pinteraction <0.05) were observed in the relationship between CVAI trajectory patterns and T2DM.

CONCLUSIONS

Initially high and persistently elevated CVAI is significantly associated with an increased risk of T2DM, with a particular focus on women, younger people, nonsmokers and physically inactive individuals. Continuous monitoring of CVAI levels will benefit effective identification, early intervention and management of individuals at high risk of T2DM.

Association of hypertension and long-term blood pressure changes with new-onset diabetes in the elderly: A 10-year cohort study

AIM

To explore the correlation between new-onset diabetes (NOD), hypertension and blood pressure management among elderly individuals in China.

MATERIALS AND METHODS

A cohort analysis involved 1380 participants aged 60 years or older, initially free of diabetes in 2008, from the Chinese Longitudinal Healthy Longevity Survey. Follow-up assessments occurred every 2-3 years. The relationship between hypertension, blood pressure changes and NOD was analysed using multivariable-adjusted Cox regression.

RESULTS

By 2018, 102 participants developed diabetes, while 1278 remained without diabetes. The cumulative diabetes prevalence increased from 3.1% at 3 years to 7.4% at 10 years. Hypertension prevalence increased from 20.9% at baseline to 41.0% at 10 years, with higher rates in those diagnosed with diabetes during follow-up. Multivariate analysis identified age, gender, baseline hypertension and systolic blood pressure (SBP) as independent predictors of NOD. Hypertension combined with overweight/obesity significantly increased the risk of NOD (hazard ratio [HR] 2.837; 95% confidence interval [CI], 1.680-4.792). We evaluated participants' blood pressure management levels in 2008 and 2011, then tracked the onset of diabetes from 2011 to 2018. Compared with participants with an average SBP below 120 mmHg in 2008 and 2011, those with SBP of 140 mmHg or higher had an 8-fold higher risk of developing NOD (adjusted HR8.492, 95% CI 2.048-35.217, P = .003), the highest risk group. Participants with SBP of 130-139.9 mmHg also had a significantly increased risk (adjusted HR 5.065, 95% CI 1.186-21.633, P = .029), while those with SBP of 120-129.9 mmHg showed no significant difference (HR 2.730, 95% CI 0.597-12.481, P = .195). Consistently high SBP (≥ 130 mmHg) further increased NOD risk (adjusted HR 3.464, 95% CI 1.464-8.196, P = .005).

CONCLUSIONS

Significant predictors of NOD included age, gender, baseline hypertension and blood pressure management. Maintaining SBP consistently below 130 mmHg may be an effective strategy to reduce the incidence of NOD in the general elderly population.

Osteocalcin and Chinese visceral adiposity index are associated with the risk of ASCVD and arterial stiffness in patients with T2DM

This study aims to discover the association between serum osteocalcin, the Chinese visceral adiposity index (CVAI), and atherosclerotic cardiovascular disease (ASCVD) risk, and their impact on arterial stiffness in T2DM patients. We included 639 T2DM patients aged 30 and older who received the assessment of ASCVD risk using the China-PAR equation, Osteocalcin and arterial stiffness in this cross-sectional study. We found that osteocalcin and CVAI as independent risk factors for both medium-high-risk ASCVD (osteocalcin: men, OR,0.96, 95% CI 0.92, 1.00; women, OR, 0.93, 95% CI 0.8, 1.08, respectively)(CVAI: men, OR,1.01,95% CI 1.00,1.02; women: OR, 1.08, 95% CI 1.02,1.14, respectively) and arterial stiffness (osteocalcin: men, OR, 0.98, 95% CI 0.94,1.01; women, OR, 0.98, 95% CI 0.90,1.06, respectively)(CVAI: men, OR,1.0, 95% CI 0.99,1.01; women, OR, 1.02, 95% CI 1.00,1.04, respectively) in both men and women patients with T2DM. Combining osteocalcin levels and CVAI improved the prediction accuracy of arterial stiffness in men patients with T2DM (difference of AUC(Model 4 vs. Model 1):1.5%, NRI: 0.06 [0.0,0.4]). All P-values were < 0.05. The results suggested that osteocalcin levels and CVAI are independent risk factors for ASCVD risk and arterial stiffness in T2DM. Combining osteocalcin and CVAI can enhance the early detection of atherosclerosis through male patients with T2DM.

Association Between Visceral Obesity Index and Diabetes: A Systematic Review and Meta-analysis

CONTENT

The correlation between visceral obesity index (VAI) and diabetes and accuracy of early prediction of diabetes are still controversial.

OBJECTIVE

This study aims to review the relationship between high level of VAI and diabetes and early predictive value of diabetes.

DATA SOURCES

The databases of PubMed, Cochrane, Embase, and Web of Science were searched until October 17, 2023.

STUDY SELECTION

After adjusting for confounding factors, the original study on the association between VAI and diabetes was analyzed.

DATA EXTRACTION

We extracted odds ratio (OR) between VAI and diabetes management after controlling for mixed factors, and the sensitivity, specificity, and diagnostic 4-grid table for early prediction of diabetes.

DATA SYNTHESIS

Fifty-three studies comprising 595 946 participants were included. The findings of the meta-analysis elucidated that in cohort studies, a high VAI significantly increased the risk of diabetes mellitus in males (OR = 2.83 [95% CI, 2.30-3.49]) and females (OR = 3.32 [95% CI, 2.48-4.45]). The receiver operating characteristic, sensitivity, and specificity of VAI for early prediction of diabetes in males were 0.64 (95% CI, .62-.66), 0.57 (95% CI, .53-.61), and 0.65 (95% CI, .61-.69), respectively, and 0.67 (95% CI, .65-.69), 0.66 (95% CI, .60-.71), and 0.61 (95% CI, .57-.66) in females, respectively.

CONCLUSION

VAI is an independent predictor of the risk of diabetes, yet its predictive accuracy remains limited. In future studies, determine whether VAI can be used in conjunction with other related indicators to early predict the risk of diabetes, to enhance the accuracy of prediction of the risk of diabetes.

Association of traditional and novel obesity indicators with stroke risk: Findings from the Rural Chinese cohort study

BACKGROUND AND AIMS

Few researchers have compared the effectiveness of traditional and novel obesity indicators in predicting stroke incidence. We aimed to evaluate the associations between six obesity indices and stroke risk, and to further identify the optimal indicator.

METHODS AND RESULTS

A total of 14,539 individuals from the Rural Chinese Cohort Study were included in the analyses. We used the Cox proportional hazards regression models to evaluate the association between six obesity indices (including body mass index [BMI], waist circumference [WC], conicity index [C-index], lipid accumulation product [LAP], visceral adiposity index [VAI], and Chinese visceral adiposity index [CVAI]) and stroke risk. Receiver operating characteristic curves were employed to compare their predictive ability on stroke risk. During a median follow-up period of 11.13 years, a total of 1257 cases of stroke occurred. In the multiple-adjusted Cox regression model, WC, BMI, C-index, and CVAI were positively associated with ischemic stroke (P < 0.01) rather than hemorrhagic stroke risk. Dose-response analyses showed a linear correlation of WC, BMI, C-index, and LAP (Poverall <0.05, and Pnonlinear >0.05), but a non-linear correlation of CVAI (Poverall <0.05, and Pnonlinear <0.05) with the risk of ischemic stroke. CVAI demonstrates the highest areas under the curves (AUC: 0.661, 95% CI: 0.653-0.668), indicating a superior predictive ability for ischemic stroke occurrence compared to other five indices (P < 0.001).

CONCLUSION

WC, BMI, C-index, LAP, and CVAI were all positively related to the risk of ischemic stroke, among which CVAI exhibited stronger predictive ability for ischemic stroke.

Association of heavy menstrual bleeding with cardiovascular disease in US female hospitalizations

BACKGROUND

Heavy menstrual bleeding (HMB) is a common menstrual disorder associated with multiple risk factors of cardiovascular disease (CVD) in women. In addition, HMB is often present with irregular menstruation (IM) which is a risk factor for CVD outcomes. However, the relationship between HMB and CVD outcomes is unexplored in the presence or absence of IM. We determined the association of HMB with multiple CVD outcomes using a nationally representative sample of female hospitalizations in the US.

METHODS

All hospitalizations of females with HMB diagnosis and normal menstrual cycles from ages of 18 to 70 years were extracted from the National Inpatient Sample Database, 2017. The HMB was defined using the International Classification of Diseases (ICD)-10 for excessive and frequent menstruation bleeding and included any current or history of HMB diagnosis. Outcomes including major adverse cardiovascular events (MACE), coronary heart disease (CHD), stroke, heart failure (HF), atrial fibrillation (AF) or arrhythmia, myocardial infarction (MI), and diabetes (DM) were defined using ICD-10 codes. Adjusted logistic regression and prosperity scores-matched logistic regression analyses were conducted to summarize adjusted associations with an odds ratio (OR) and a 95% confidence interval (CI).

RESULTS

Among 2,430,851 hospitalizations, HMB was observed in 7762 (0.68%) females with age ≤ 40 years and 11,164 (0.86%) females with age > 40 years. Among hospitalizations with age ≤ 40 years, HMB was significantly associated with increased odds of CVD outcomes including MACE (OR = 1.61; 95% CI: 1.25, 2.08), CHD (OR = 1.72; 95% CI: 1.10, 2.71), stroke (OR = 1.95; 95% CI: 1.12, 3.40), HF (OR = 1.53; 95% CI: 1.15, 2.03), and AF/arrhythmia (OR = 1.84; 95% CI: 1.34, 2.54). These associations were confirmed in multiple sensitivity analyses. In contrast, HMB was not robustly associated with CVD events among hospitalizations of women with age > 40 years. HMB without IM was strongly associated with DM, HF, AF, and MACE outcomes while HMB with IM was strongly associated with CHD and AF outcomes in hospitalizations of young women.

CONCLUSIONS

HMB is associated with CVD events among US hospitalizations of young women. A routine investigation and screening of menstrual disorders, especially HMB, is useful for CVD risk stratification and management in young women.

Ideal cardiovascular health index and high-normal blood pressure in elderly people: evidence based on real-world data

Limited information is available on the cardiovascular health (CVH) index and risk of high-normal blood pressure (HNBP) in elderly people. Randomized cluster sampling, multivariate logistic regression, and mediating effects analysis were used in this study analyze the relationship between CVH index and HNBP in the elderly. 1089 non-hypertensive residents aged 65 years or older completed the study. The positive rate of HNBP was 75.85% (male vs. female: 76.13% vs. 75.64%, P = 0.852); The ideal rate of CVH (ideal CVH index ≥ 5 items) was 14.51% (male vs. female: 15.91% vs. 13.46%, P = 0.256). Compared with people with 0-2 ideal CVH index, the risk of HNBP in people with 4 ideal indexes and ≥ 5 ideal indexes decreased by 50% and 63%, respectively, and their OR (95% CI) were 0.50 (0.31, 0.81) and 0.37 (0.21, 0.66), respectively. The results of the trend test showed that the risk of HNBP decreased by 32% for every increase in the ideal CVH index (trend P < 0.001) and TyG index does not play a mediating role in this relationship. That is, increasing the number of ideal CVH index may effectively reduce the risk of HNBP in elderly by one-third.

Chinese visceral adiposity index and its transition patterns: impact on cardiovascular and cerebrovascular diseases in a national cohort study

BACKGROUND

Obesity affects approximately 800 million people worldwide and may contribute to various diseases, especially cardiovascular and cerebrovascular conditions. Fat distribution and content represent two related yet distinct axes determining the impact of adipose tissue on health. Unlike traditional fat measurement indices, which often overlook fat distribution, the Chinese visceral adiposity index (CVAI) is a novel metric used to assess visceral fat accumulation and associated health risks. Our objective is to evaluate its association with the risk of cardiovascular and cerebrovascular diseases.

METHODS

A nationwide longitudinal study spanning 9 years was conducted to investigate both the effects of baseline CVAI levels (classified as low and high) and dynamic changes in CVAI over time, including maintenance of low CVAI, transition from low to high, transition from high to low, and maintenance of high CVAI. Continuous scales (restricted cubic spline curves) and categorical scales (Kaplan-Meier curves and multivariable Cox regression analyses) were utilized to evaluate the relationship between CVAI and cardiovascular and cerebrovascular diseases. Furthermore, subgroup analyses were conducted to investigate potential variations.

RESULTS

Totally 1761 individuals (22.82%) experienced primary outcomes among 7717 participants. In the fully adjusted model, for each standard deviation increase in CVAI, there was a significant increase in the risk of primary outcomes [1.20 (95%CI: 1.14-1.27)], particularly pronounced in the high CVAI group [1.38 (95%CI: 1.25-1.54)] compared to low CVAI group. Regarding transition patterns, individuals who consistently maintained high CVAI demonstrated the highest risk ratio compared to those who consistently maintained low CVAI [1.51 (95%CI: 1.31-1.74)], followed by individuals transitioning from low to high CVAI [1.22 (95% CI: 1.01-1.47)]. Analysis of restricted cubic spline curves indicated a positive dose-response relationship between CVAI and risk of primary outcomes (p for non-linear = 0.596). Subgroup analyses results suggest that middle-aged individuals with high CVAI face a notably greater risk of cardiovascular and cerebrovascular diseases in contrast to elderly individuals [1.75 (95% CI: 1.53-1.99)].

CONCLUSION

This study validates a significant association between baseline levels of CVAI and its dynamic changes with the risk of cardiovascular and cerebrovascular diseases. Vigilant monitoring and effective management of CVAI significantly contribute to early prevention and risk stratification of cardiovascular and cerebrovascular diseases.

Dose-response association between Chinese visceral adiposity index and cardiovascular disease: a national prospective cohort study

Background

Chinese visceral adiposity index (CVAI) is a reliable visceral obesity index, but the association between CVAI and risk of cardiovascular disease (CVD) remains unclear. We explored the associations of CVAI with incident CVD, heart disease, and stroke and compared the predictive power of CVAI with other obesity indices based on a national cohort study.

Methods

The present study included 7,439 participants aged ≥45 years from China Health and Retirement Longitudinal Study (CHARLS). Cox regression models were applied to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). Restricted cubic splines analyses were adopted to model the dose-response associations. Receiver operator characteristic (ROC) analyses were used to compare the predictive ability of different obesity indices (CVAI, visceral adiposity index [VAI], a body shape index [ABSI], conicity index [CI], waist circumference [WC], and body mass index [BMI]).

Results

During 7 years' follow-up, 1,326 incident CVD, 1,032 incident heart disease, and 399 stroke cases were identified. The HRs (95% CI) of CVD, heart disease, and stroke were 1.50 (1.25-1.79), 1.29 (1.05-1.57), and 2.45 (1.74-3.45) for quartile 4 versus quartile 1 in CVAI. Linear associations of CVAI with CVD, heart disease, and stroke were observed (P nonlinear >0.05) and per-standard deviation (SD) increase was associated with 17% (HR 1.17, 1.10-1.24), 12% (1.12, 1.04-1.20), and 31% (1.31, 1.18-1.46) increased risk, respectively. Per-SD increase in CVAI conferred higher risk in participants aged<60 years than those aged ≥60 years (P interaction<0.05). ROC analyses showed that CVAI had higher predictive value than other obesity indices (P<0.05).

Conclusions

CVAI was linearly associated with risk of CVD, heart disease, and stroke and had best performance for predicting incident CVD. Our findings indicate CVAI as a reliable and applicable obesity index to identify higher risk of CVD.

Associations between Chinese visceral adiposity index and risks of all-cause and cause-specific mortality: A population-based cohort study

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.

The association between Chinese visceral adiposity index and cardiometabolic multimorbidity among Chinese middle-aged and older adults: a national cohort study

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.

Association of Chinese visceral adiposity index with clinical outcome in patients after endovascular thrombectomy

BACKGROUND AND PURPOSE

The Chinese Visceral Adiposity Index (CVAI) is a reliable indicator of visceral adiposity dysfunction in the Chinese population. We aimed to evaluate the association between CVAI and clinical outcome in Chinese ischemic stroke patients who received endovascular thrombectomy (EVT).

METHODS

This study retrospectively included patients with large vessel occlusive stroke receiving EVT treatment in 2 China stroke centers. Baseline CVAI was calculated after admission. Patients with a modified Rankin scale score ≥ 3 at 3 months after ischemic stroke were defined as poor outcome. Binary multivariate logistic regression models were utilized to explore the association between CVAI and the risk of 90-day unfavorable outcome.

RESULTS

A total of 453 patients (mean age, 70.4  ± 12.1 years; 280 male) were included. During the 90-day follow-up, 236 (52.1 %) patients experienced poor outcome. After multivariable adjustment for potential confounders, increasing CVAI was associated with an increased risk of 90-day poor outcome (odds ratios, per-standard deviation increase: 1.521; 95 % confidence interval, 1.127-2.052; P = 0.006). Similar significant results were observed when the CVAI was analyzed as a categorical variable. Furthermore, the multiple-adjusted spline regression model showed an inverted J-shape association between CVAI and risk of unfavorable outcome (P = 0.048 for non-linearity).

CONCLUSIONS

This study demonstrated that CVAI is positively correlated with 90-day poor outcome in Chinese ischemic stroke patients after EVT.