A water-soluble hyperbranched polyester with a considerable number of hydroxyl terminal groups was synthesized by reacting maleic anhydride and glycerol in the absence of a solvent. The synthesized intermediate product was converted to the hyperbranched polyester by condensation polymerization, and the water by-product produced during the esterification reaction may be removed by vacuum distillation. In the synthesis process, the crosslinking reaction occurs readily if maleic anhydride is in excess. The result shows that the product synthesized by this one-step method is insoluble in water at room temperature, whereas the product of a quasi onestep method, in which pentaerythritol was added as a core molecule, has good water solubility when pentaerythritol and the raw material have a molar ratio of 1 : 100 or 1 : 150. The resulting hyperbranched polyester was purified by column chromatography and characterized by infrared spectrometry. The synthetic hyperbranched polyester was used at 0.5% as a crosslinking agent for acrylic ester to inform acrylic ester latex film; the water absorption of the film was decreased significantly, the viscosity was increased, and some mechanical properties were improved.
Background The relationship between obesity indices and arterial stiffness (AS) has not been fully discovered nor has it been studied in depth in large hypertensive patient populations. The aim of this study was to explore the association between body mass index (BMI) and waist-hip ratio (WHR) levels and AS based on brachial-ankle pulse wave velocity (baPWV) in Chinese rural adults with hypertension. Methods This cross-sectional study analyzed 5049 Chinese rural adults with essential hypertension. BMI was calculated as the body weight in kilograms divided by the square of the height in meters (kg/m2). Central obesity was defined as WHR ≥ 0.9 for males and ≥ 0.85 for females. Measurement of arterial stiffness was carried out via brachial-ankle pulse wave velocity (baPWV). Results The prevalence of overweight, general obesity, central obesity and increased AS were 26.88%, 3.39%, 63.85% and 44.01%, respectively. Multivariate logistic regression analysis indicated that BMI levels were negatively associated with the prevalence of increased AS (adjusted-OR per SD increase: 0.74, 95% CI 0.67–0.81, P < 0.001). When BMI was instead treated as a categorical variable divided into tertiles, the same relationship was observed (P for trend < 0.001). Inversely, WHR levels were positively associated with the prevalence of increased AS (adjusted-OR per SD increase: 1.25, 95% CI 1.14–1.36, P < 0.001). Compared to subjects without central obesity, those with central obesity had a higher prevalence of increased AS (adjusted-OR: 1.52, 95% CI 1.28–1.81, P < 0.001). Linear regression models indicated similar results in the correlation between BMI or WHR levels and baPWV levels (adjusted-β per SD increase: − 0.57, 95% CI − 0.68 to − 0.46, P < 0.001; adjusted-β per SD increase: 4.46, 95% CI 3.04–5.88, P < 0.001). There were no interactions in terms of age and blood pressure on the relationship between BMI or WHR levels and the prevalence of increased AS or baPWV levels. Conclusion There was an inverse relationship between BMI levels and increased AS or baPWV levels, whereas WHR levels and central obesity were positively associated with increased AS or baPWV levels in Chinese rural adults with hypertension.
Objectives: We investigated the association between serum uric acid (SUA) levels and the risk of the first stroke in Chinese adults with hypertension.Methods: A total of 11, 841 hypertensive patients were selected from the Chinese Hypertension Registry for analysis. The relationship between SUA levels and first stroke was determined using multivariable Cox proportional hazards regression, smoothing curve fitting, and Kaplan–Meier survival curve analysis.Results: During a median follow-up of 614 days, 99 cases of the first stroke were occurred. Cox proportional hazards models indicated that SUA levels were not significantly associated with the first stroke event [adjusted-hazard ratio (HR) per SD increase: 0.98, 95% CI 0.76–1.26, P = 0.889]. In comparison to the group without hyperuricemia (HUA), there were no significantly higher risks of first stroke events (adjusted-HR: 1.22, 95% CI 0.79–1.90, P = 0.373) in the population with HUA. However, in the population less than 60 years old, subjects with HUA had a significantly higher risk of the first stroke than the population without HUA (adjusted-HR: 4.89, 95% CI 1.36–17.63, P = 0.015). In subjects older than 60 years, we did not find a significant relationship between HUA and first stroke (adjusted-HR: 0.97, 95% CI 0.60–1.56, P = 0.886). Survival analysis further confirmed this discrepancy (log-rank P = 0.013 or 0.899 for non-aging or aging group).Conclusion: No significant evidence in the present study indicated that increased SUA levels were associated with the risk of first stroke in the Chinese adults with hypertension. Age played an interactive role in the relationship between HUA and the first stroke event.
Background: The aim of this study was to investigate the association betweenbody mass index (BMI), waist-hip ratio (WHR) and arterial stiffness (AS) based on brachial-ankle pulse wave velocity (baPWV) in Chinese rural adults with hypertension.Methods: In this analysis, selected 5,049 Chinese rural adults with hypertension were divided into three groups according to BMI ( <24 kg/m2, control; 24‐28 kg/m2, overweight; and ≥28 kg/m2, obesity), WHR ≥0.9 for male and ≥0.85 for female was defined as central obesity, while baPWV ≥18.0 m/s was considered as increased AS. Multivariate analysis was used to examine the association between BMI, WHR (central obesity) and AS based on baPWV in different models. Furthermore, the generalized additive model and smooth curve fitting was used to visually show the relationship between BMI or WHR with baPWV. Finally, to ensure the robustness between BMI group or central obesity with increased AS, we also did the subgroup analyses that were performed using stratified multivariate regression and interaction analyses and presented in tabulated form or forest plot.Results: The prevalence of overweight, general obesity, central obesity and increased AS were 32.62%, 8.58%, 63.85% and 44.01%, respectively. In comparsion with control group, there are a statistically significant lower prevalence of increased AS in population with overweight or general obesity (adjusted-OR: 0.78, 95% CI 0.65 to 0.92, P <0.001; adjusted-OR: 0.54, 95% CI 0.40 to 0.72, P <0.001, respectively; P for trend <0.001). Whereby in comparsion with non-central obesity group, there are an statistically significant higher prevalence of increased AS in population with central obesity (adjusted-OR: 1.54, 95% CI 1.30 to 1.83, P <0.001). The multivariate analyses indicated that BMI was negatively associated with baPWV (adjusted-β per SD increase: -0.49, 95% CI -0.60 to -0.38, P <0.001). In comparsion with control group, there are an statistically significant inversely relationship between BMI and baPWV in population with overweight or general obesity (adjusted-β: -0.55, 95% CI -0.75 to -0.35, P <0.001; adjusted-β: -1.00, 95% CI -1.32 to -0.67, P <0.001, respectively; P for trend <0.001). On the contrary, WHR was positively associated with baPWV (adjusted-β per SD increase: 0.27, 95% CI 0.17 to 0.38, P <0.001). In comparsion with non-central obesity group, there are a statistically significant positively relationship between WHR and baPWV in population with central obesity (adjusted-β: 0.55, 95% CI 0.34 to 0.75, P <0.001).Conclusion: We found that there was an inversely relationship between BMI and baPWV or increased AS, whereas WHR or central obesity is positively associated with baPWV and increased AS in Chinese rural adults with hypertension.
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