The effect of hyperuricemia and its interaction with hypertension towards chronic kidney disease in patients with type 2 diabetes: evidence from a cross- sectional study in Eastern China.

Objectives: This study aimed to explore the synergistic interaction effect between hyperuricemia and hypertension towards chronic kidney disease in patients with type 2 diabetes. Methods: This research originates from a cross-sectional study performed in Zhejiang Province, Eastern China, between March and November 2018. The correlation between serum uric acid levels and the risk of chronic kidney disease was assessed using a restricted cubic spline model. An unconditional multivariable logistic regression model, along with an interaction table, was utilized to explore the potential interaction effect of hyperuricemia and hypertension towards chronic kidney disease. Results: 1,756 patients with type 2 diabetes were included in this study, the prevalence of chronic kidney disease (CKD) was 27.62% in this population. A U-shaped non-linear pattern emerged correlating serum uric acid (SUA) levels and CKD risk, indicating that both low and high SUA levels were linked to an increased CKD risk. This risk achieved its lowest point (nadir) at SUA approximately equals to 285µmol/L (p for trend <0.05). Once adjustments for age, gender, education level, abnormal fasting plasma glucose (FPG), abnormal hemoglobin A1c (HbA1c), abnormal total cholesterol (TC), abnormal high-density lipoprotein cholesterol (HDL-C), alcohol consumption and duration of diabetes were factored in, it was found that patients with both hyperuricemia and hypertension demonstrated a 5.42-fold (95% CI: 3.72-7.90) increased CKD risk compared to the reference group. The additive interaction between hyperuricemia and hypertension was statistically significant, as manifested by the following values: a relative excess risk due to interaction (RERI) of 2.57 (95% CI: 0.71-4.71), an attributable proportion due to interaction (AP) of 0.47 (95% CI: 0.14-0.64), and a synergy index (SI) of 2.39 (95% CI: 1.24-4.58). In contrast, there was no significant interaction effect in multiplicative scale. Conclusion: Hyperuricemia and hypertension may contribute additively to CKD, beyond their isolated impacts. Evaluating the risk of CKD in type 2 diabetes patients necessitates considering this potential interaction.

Association between metabolic syndrome severity score and cardiovascular disease: results from a longitudinal cohort study on Chinese adults.

Objective: This study aimed to quantify the severity of metabolic syndrome(MetS) and investigate its association with cardiovascular disease(CVD) risk on Chinese adults. Methods: 13,500 participants from the Zhejiang Adult Chronic Disease Study were followed up between 2010 and 2021. A continuous MetS severity score derived from the five components of MetS was used to quantify MetS severity, and the association between MetS severity and the risk of incident CVD was assessed using Cox proportional hazard and restricted cubic spline regression. Results: Both the presence and severity of MetS were strongly associated with CVD risk. MetS was related to an increased risk of CVD (hazard ratio(HR):1.700, 95% confidence interval(CI): 1.380-2.094). Compared with the hazard ratio for CVD in the lowest quartile of the MetS severity score, that in the second, third, and highest quartiles were 1.812 (1.329-2.470), 1.746 (1.265-2.410), and 2.817 (2.015-3.938), respectively. A linear and positive dose-response relationship was observed between the MetS severity and CVD risk (P for non-linearity = 0.437). Similar results were found in various sensitivity analyses. Conclusion: The MetS severity score was significantly associated with CVD risk. Assessing MetS severity and further ensuring intervention measures according to the different severities of MetS may be more useful in preventing CVD.

Gender disparity in the associations of overweight/obesity with occupational activity, transport to/from work, leisure-time physical activity, and leisure-time spent sitting in working adults: A cross-sectional study.

BACKGROUND: The associations of occupational activity (OA), commuting, leisure-time physical activity (LTPA), and sitting with overweight/obesity in working adults are controversial. This study explored these factors with the risk of overall and abdominal overweight/obesity in a Chinese working population and whether these associations differ by gender. METHODS: A cross-sectional study was conducted. Data analysis was done among 6739 employed participants. Multivariate logistic regression was used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) for the studied associations. RESULTS: For male employees, those with heavy OA had a lower overall (OR 0.76; 95% CI, 0.62-0.93) and abdominal (OR 0.76; 95% CI, 0.62-0.93) overweight/obesity risk than those with light OA. Those with LTPA ≥150 min/week had a lower risk of overall (OR 0.73; 95% CI, 0.56-0.96) and abdominal (OR 0.70; 95% CI, 0.53-0.91) overweight/obesity than those with LTPA <150 min/week. Men with leisure-sitting time <2.5 h/day had a significantly lower risk of abdominal overweight/obesity than those sitting ≥4 h/day (OR 0.80; 95% CI, 0.65-0.99). And men who cycled to/from work had a lower risk of overall (OR 0.69; 95% CI, 0.53-0.90) and abdominal overweight/obesity (OR 0.71; 95% CI, 0.54-0.92) than passive transports. However, the above significant associations disappeared among female employees. CONCLUSIONS: Heavy OA, cycling to/from work, and LTPA were associated with lower risk of overall or abdominal overweight/obesity in male employees. Reducing leisure sitting time can also help male employees reduce the risk of abdominal overweight/obesity. More research on gender disparity in the risk of overweight and obesity should be done.

[Prevalence and risk factors of pre-hypertension among adults of Zhejiang province].

OBJECTIVE: To access the prevalence rates of pre-hypertensive patients at different stages and its associated risk factors among adults of Zhejiang province. METHODS: Study subjects were selected among local residents aged ≥ 18 years from 15 counties by multi stage stratified cluster random sampling method, from July to November, 2010. Each participant was required to complete questionnaire, physical examination and testing for overnight fasting blood specimen. RESULTS: 17 437 residents were surveyed including 8169 males and 9268 females. The overall prevalence of prehypertension was 34.39%. The prevalence of pre-hypertension appeared to be higher in males (38.57%) than in females (30.70%) (χ(2) = 119.36, P < 0.0001). The prevalence of pre-hypertension decreased with the increase of age in males who were above 25 year olds (χ(2) = 76.94, P < 0.0001) and in females who were above 45 year olds (χ(2) = 114.66, P < 0.0001). The prevalence of pre-hypertension appeared to be higher in the rural (35.60%) than in the urban (32.39%) areas (χ(2) = 18.69, P < 0.0001). Data from multivariable logistic regression showed that factors as being male, aged older than 35 years of age, with waist circumference as ≥ 85 cm for men and ≥ 80 cm for women, body mass index ≥ 25.0 kg/m(2) and triglyceride ≥ 1.7 mmol/L were risk factors of pre-hypertension while having had higher education was a protective factor. CONCLUSION: Pre-hypertension was prevalent among adults residents in Zhejiang province. Factors as overweight, obesity, dyslipidemia appeared to be major risk factors for pre-hypertension.

[Association between dyslipidemia and different subtypes of hypertension among Zhejiang population in 2010].

OBJECTIVE: To explore the association between dyslipidemia and different subtypes of hypertension among Zhejiang population. METHODS: From June to October in 2010, 19 113 local residents aged ≥ 18 years old were selected among 7571 families from fifteen counties in Zhejiang by four stage stratified-random sampling method. A self-designed questionnaire was adopted to collect information on demographic characteristics, physical activity and life style. At the same time, physical examinations including height, weight, blood pressure and blood lipids were carried out. RESULTS: A total of 19 113 participants completed the interviews, physical examinations and collected the blood samples.Excluding those who did not meet the criteria, 14 731 were finally enrolled in the study. The prevalence rates of isolated systolic hypertension (ISH), isolated diastolic hypertension (IDH), systolic and diastolic hypertension (SDH) were 7.16% (1055/14 731, standardized rate:5.46%), 4.60% (677/14 731, standardized rate:4.41%), 7.09% (1045/14 731, standardized rate:5.75%), respectively. Among normal blood pressure group, subjects with normal TC, high TC and abnormal TC were separately 10 571 (88.43%), 1173 (9.81%) and 210 (1.76%); subjects with normal HDL-C and low HDL-C were separately 6885 (57.60%) and 5069 (42.40%); subjects with normal TG, high TG, abnormal TG were separately 9952 (79.91%), 1213 (10.15%) and 1189(9.95%).In ISH group, subjects with normal TC, high TC and abnormal TC were separately 826 (78.29%), 188 (17.82%) and 41 (3.89%); subjects with normal HDL-C and low HDL-C were separately 666(63.13%) and 389 (36.87%); subjects with normal TG, high TG and abnormal TG were separately 737 (69.86%), 150 (14.22%) and 168 (15.92%). Multi factor analysis showed that high TG and abnormal TG were associated with ISH (OR (95%CI):1.43 (1.16-1.76), 1.65 (1.34-2.03) respectively). Among IDH group, subjects with normal TC, high TC, abnormal TC were separately 556(82.13%), 99(14.62%) and 22 (3.25%); subjects with normal HDL-C, low HDL-C were separately 335 (49.48%) and 342 (50.52%); subjects with normal TG, high TG, and abnormal TG separately were 402 (59.38%), 107 (15.81%) and 168 (24.82%). The multi factor analysis showed that high TG and abnormal TG could increase the risk of IDH (OR(95%CI):1.57 (1.24-1.98), 2.18 (1.76-2.70) respectively). Among SDH group, subjects with normal TC, high TC and abnormal TC were 817 (78.18%), 193 (18.47%) and 35 (3.35%); subjects with normal HDL-C and abnormal HDL-C were separately 599 (57.32%) and 446 (42.68%); subjects with normal TG, high TG, abnormal TG were separately 675 (64.59%), 164 (15.69%) and 206 (19.71%). The multi factor analysis showed that high TC, high TG and abnormal TG were also associated with the increased risk of SDH (OR (95%CI):1.38 (1.14-1.67), 1.43(1.18-1.75), 1.73 (1.43-2.10) respectively). CONCLUSION: Dyslipidemia is an important factor of different subtypes of hypertension among Zhejiang population, especially triglycerides. Dyslipidemia screening should be strengthened to reduce the risk of cardiovascular diseases.