Associations of serum uric acid with cardiovascular disease risk factors: a retrospective cohort study in southeastern China.

OBJECTIVE: To evaluate the associations between serum uric acid (SUA) levels and cardiovascular disease (CVD) risk factors, focusing on potential sex-specific differences. DESIGN: A retrospective cohort study. SETTING: A large community-based survey was conducted every two years from 2010 to 2018 in Hangzhou, Zhejiang Province, outheastern China. PARTICIPANTS: 6119 participants aged 40 years and above who underwent at least three times of physical examinations were enrolled. METHODS: Participants were categorised into four groups (Q1-Q4) based on baseline SUA quartiles within the normal range, with hyperuricaemia (HUA) as the fifth group. The Q1 was the reference. By stratifying participants by gender, the relationships between SUA levels and systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting blood glucose (FBG) and total cholesterol (TC) were investigated using linear regression models in the generalised estimating equation. Additionally, the associations of elevated SUA levels and HUA with hypertension, hyperglycaemia and dyslipidaemia were correspondingly examined using multivariate logistic regression models. RESULTS: After adjusting for confounding variables, we found positive associations between SUA levels and SBP, DBP, FBG and TC in women, and with TC in men (p<0.01). Likewise, elevated SUA quartiles and HUA were linked to increased dyslipidaemia risk in both sexes, and increased hyperglycaemia risk only in women, with HRs (95% CI) of 1.64 (1.05 to 2.55) and 2.37 (1.47 to 3.81) in the Q4 and HUA group, respectively. Women with HUA had higher hypertension risk (HR=1.45, 95% CI 1.21 to 1.73), while no such association was observed in men. Stratified analyses revealed significant associations between elevated SUA levels and CVD risk factors in postmenopausal and non-obese women. CONCLUSIONS: Elevated SUA levels increase the risk of dyslipidaemia in both sexes. SUA levels within normal range and HUA are positively associated with hyperglycaemia and hypertension in postmenopausal women, but not in men.

Serum Uric Acid Levels and Their Association with Renal Function Decline and Kidney Disease Progression in Middle-Aged and Elderly Populations: A Retrospective Cohort Study.

Objective: To evaluate the associations between serum uric acid (SUA) levels and estimated glomerular filtration rate (eGFR) and chronic kidney disease (CKD), with a focus on gender differences, and variations among women pre-and post-menopausal stages. Design: A retrospective cohort study. Setting: A large community-based survey was conducted every two years from 2010 to 2018 in Hangzhou, Zhejiang Province, Southeastern China. Participants: 10,218 participants (40 years or above) without CKD at baseline who underwent three physical examinations were enrolled. CKD was defined as an eGFR of less than 60 mL/min/1.73m2. Methods: Participants with SUA levels were divided into four groups (Q1-Q4) based on baseline SUA quartiles. The Q1 was the reference. By stratifying participants by gender, the relationships between SUA levels and eGFR were investigated using the generalized additive mixture model. The associations of SUA and the risk of incident CKD were examined using multivariate logistic regression models in the generalized estimating equation. Results: After adjusting for confounding variables, a nonlinear association between SUA and eGFR was observed in females, while an approximately linear relationship was observed in males, suggesting that elevated SUA levels are associated with renal function decline. Furthermore, the highest quartile of SUA was associated with a 2.16-fold (95% CI: 1.31-3.58) increased risk of CKD in males and a 2.76-fold (95% CI: 1.59-4.78) increased risk in females, compared with the lowest quartile. And the spline curves demonstrated a U-shaped pattern, suggesting a potential threshold effect of SUA on the risk of CKD. Additionally, Subgroup analyses revealed significant associations between elevated SUA levels with CKD in postmenopausal women, but not in premenopausal women. Conclusion: Elevated SUA levels are associated with an increased risk of CKD development and renal function decline in middle-aged and elderly individuals, particularly in postmenopausal women.

Effect of air pollution on the prevalence of breast and cervical cancer in China: a panel data regression analysis.

The association between the prevalence of breast and cervical cancer in Chinese women and air pollution is obscure. The study aims to analyze the correlation between air pollution and the prevalence of breast and cervical cancer, and whether the gross domestic product (GDP) has a modifying effect on the impact of air pollution on the prevalence of breast and cervical cancer. Extracting panel data from 31 provinces and cities between 2006 and 2020, we evaluated the association between breast and cervical cancer prevalence and pollutant emissions from 2006 to 2015 with two-way fixed-effect models. We also analyzed the interaction between GDP and pollutant emissions and further check the robustness of the moderating effect results using group regression from 2016 to 2020. Cluster robust standard errors were used to correct for the heteroskedasticity and autocorrelation. The coefficients of models show that the coefficients of logarithmic soot and dust emissions are estimated to be significantly positive, and the coefficients of their square terms are significantly negative. The robust results suggest that the relationship between soot and dust emissions and breast or cervical cancer prevalence is non-linear, from 2006 to 2015. In the analysis of particulate matter (PM) data in 2016-2020, the PM-GDP interaction term was also significantly negative, indicating that GDP growth weakened the effect of PM on the prevalence of breast cancer and cervical cancer. In provinces with higher GDP, the indirect effect of PM emissions concerning breast cancer is -0.396 while in provinces with lower GDP, it is about -0.215. The corresponding coefficient concerning cervical cancer is about -0.209 in provinces with higher GDP but not significant in provinces with lower GDP. Our results suggest that there is an inverted U-shaped relationship between the prevalence of breast cancer and cervical cancer and air pollutants from 2006 to 2015. GDP growth has a significant negative moderating effect on the impact of air pollutants on the prevalence of breast cancer and cervical cancer. PM emissions have a higher effect on the prevalence of breast and cervical cancer in provinces with higher GDP and a lower impact in provinces with lower GDP.