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.

Association of Serum Uric Acid with Metabolic Syndrome and Its Components: A Cross-Sectional Study in Chinese Coastal Population.

Objective: Few studies reported the association between serum uric acid and the prevalence of metabolic syndrome in China's coastal residents. We aimed to examine the association between serum uric acid and the prevalence of metabolic syndrome as well as its components in adults and elderly from Shenzhen (a China's coastal city). Methods: We conducted a survey in a community-based household population in Shenzhen, collecting data about 4049 participants aged 20-69 years. Based on the data, we determined the prevalence of metabolic syndrome in adults and elderly with different serum uric acid concentrations. Results: According to the revised National Cholesterol Education Program Adult Treatment Panel III, the prevalence of the metabolic syndrome in the surveyed participants was 24.69% [95% confidence interval (CI): 23.4%-26.0%]. The prevalence of metabolic syndrome in participants with serum uric acid levels <4, 4-4.9, 5-5.9, 6-6.9, 7-7.9, and ≥8 mg/dL is 10.12% (95% CI: 8.2%-12.0%), 17.92% (95% CI: 15.8%-20.1%), 31.05% (95% CI: 28.1%-34.0%), 39.47% (95% CI: 35.4%-43.8%), 49.39% (95% CI: 43.1%-55.7%), and 52.57% (95% CI: 42.5%-62.5%), respectively. Multivariable logistic regression analysis showed that participants with higher serum uric acid levels were at a higher risk of high triglycerides, low high-density lipoprotein, central obesity, high blood pressure, or high fasting glucose (P < 0.001). Conclusions: Serum uric acid levels were closely associated with metabolic syndrome and its components in Chinese coastal population.

6-Year trends in lipids among adults in Shenzhen, China.

BACKGROUND: There may be a beneficial effect on lipid levels in Shenzhen in recent years. In this study, we aimed to examine trends in serum lipids in population in Shenzhen between 2009 and 2015. METHODS: We enrolled 2210 adults aged 18-70 years from two independent cross-sectional studies conducted in 2009 and 2015. Blood lipid profiles, such as total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C), were measured. Chi-square test, t-test and multivariate logistic regression analysis were applied for data analysis. RESULTS: From 2009 to 2015, mean LDL-C declined from 3.05 ± 0.76 mmol/L in 2009 to 2.27 ± 0.75 mmol/L in 2015 (P < 0.001). Similarly, a significant 7.09% decrease in the prevalence of high LDL-C was observed over the same period (P < 0.001). There was an increasing trend in the prevalence of low HDL-C among adults in Shenzhen (P < 0.001). A no-significant increase in prevalence of dyslipidemia was also observed over this 6-year interval (P = 0.139). The prevalence of dyslipidemia was closely related with increasing age, male gender, current smoker, diabetes, obesity and overweight. CONCLUSION: This study shows a favourable downward trend in LDL-C concentration in Shenzhen. However, more intense strategies are needed to control dyslipidemia.

Clustering of cardiovascular disease biological risk factors among older adults in Shenzhen City, China: a cross-sectional study.

OBJECTIVES: Few studies reported the clustering of cardiovascular disease (CVD) biological risk factors among older adults. The objective of this study was to characterise the clustering of CVD biological risk factors among adults aged 65 or older in Shenzhen city, China. DESIGN: Cross-sectional study. SETTING: General communities in Shenzhen, Guangdong, China. PARTICIPANTS: A representative sample of 5635 participants aged 65 or older participated in the survey with a response rate of 93.6%. MAIN OUTCOME MEASURES: Individual CVD biological risk factors (overweight/obesity, central obesity, hypertension, dyslipidaemia and diabetes) and their clustering. RESULTS: The prevalence of overweight, obesity, central obesity, hypertension, dyslipidaemia and diabetes in this study was 37.4%, 10.8%, 37.0%, 51.9%, 40.2% and 18.0%, respectively. The mean count of CVD biological risk factors per participant was 1.95. The 86.0% of the participants presented at least one CVD biological risk factor and 33.8% of the participants presented clustering of CVD biological risk factors, that is, presenting three or more CVD biological risk factors, as defined in this study. Multivariable logistic regression analysis showed that gender, age, and drinking and smoking status were significantly associated with clustering of CVD biological risk factors (P<0.05). Women, the older and alcohol drinkers were more likely to have clustering of CVD biological risk factors. CONCLUSIONS: The prevalence of CVD biological risk factors is fairly high in the older adults with a tendency of clustering in Shenzhen. The findings highlight the need for integrated management of CVD biological risk factors among older adults.