High TG/HDL ratio suggests a higher risk of metabolic syndrome among an elderly Chinese population: a cross-sectional study.

OBJECTIVES: To investigate the relationship between triglyceride/high-density lipoprotein cholesterol (TG/HDL-C) ratio and metabolic syndrome in the elderly population of China, and to determine the best critical value of TG/HDL-C in higher risk of metabolic syndrome in this population. DESIGN: Cross-sectional study. SETTING: Our study was conducted in a community physical examination centre in Wuhan, China between 1 January 2016 and 31 December 2016. PARTICIPANTS: The physical examination data from 1267 elderly people (aged over 65 years) in the community were analysed in this study. The average age of the study participants was 71.64±5.605 years. PRIMARY OUTCOME MEASURES: Correlation between the TG/HDL-C ratio and metabolic syndrome; the optimum cut-off of the TG/HDL-C ratio for the prediction of metabolic syndrome. RESULTS: The TG/HDL-C ratio showed a significant positive correlation with metabolic syndrome (r=0.420, p<0.001) in the elderly Chinese population. Binary logistic regression analysis showed that the TG/HDL-C ratio was an independent risk factor for metabolic syndrome (OR=3.07 (95% CI: 2.402 to 3.924), p<0.001) after adjusting for blood pressure, blood glucose, age, sex and body mass index. The receiver operating characteristic curves of TG/HDL-C ratio and metabolic syndrome showed that in the elderly population, a TG/HDL-C ratio of 1.49 can be used as the critical value for a higher risk of metabolic syndrome. At this value, the specificity and sensitivity of the measure were optimal (80.8% and 72.4%, respectively). CONCLUSION: In this study, we found a significant correlation between TG/HDL-C ratio and metabolic syndrome. And high TG/HDL ratio suggests a higher risk of metabolic syndrome among an elderly Chinese population.

[Spatio-temporal Evolution of Groundwater Vulnerability Based on Spatial Autocorrelation].

The distribution patterns of human activities affecting groundwater vulnerability vary with time. Studying the temporal and spatial changes in groundwater vulnerability, exploring the distribution characteristics of each period, and predicting the trends of development are important to formulate an effective development plan and reduce the risk of groundwater pollution at the same time. Based on the hydrogeological data as well as humanities and social data for 2004, 2010, and 2016 for the Chaoyang District of Beijing, a comprehensive evaluation model considering the human factors such as the land use types was established using the DRASTIC model. The spatiotemporal pattern of groundwater vulnerability was quantitatively characterized by calculating the Global Moran's Ⅰ and Getis-Ord Gi* index, and the distribution characteristics and variations in groundwater vulnerability were analyzed by the centroid of the G index and the standard deviation ellipse of the study area. The results indicate that in 2004, 2010, and 2016, the areas of high vulnerability have gradually reduced. The groundwater vulnerability in the study area shows a strong spatial aggregation; high concentration areas are mainly distributed in the northeast and southwest regions. The vulnerability of the northeast region has been decreasing each year, while the vulnerability of the northwest region has not changed much. The main reasons are the land use changes and the reductions in fertilizer use.