11 Hyperuricaemia was defined as UA ≥416 μmol/L in men and 357 μmol/L in women. (3) Overweight and obesity were defined as body mass index (BMI) 24–27.9 kg/m2 and BMI selleck chemicals llc ≥28 kg/m2 according to Chinese criteria.12 (4) The estimated glomerular filtration rate (eGFR) of each participant was estimated using the modified Modification of Diet in Renal Disease equation adapted for the Chinese13 as: eGFR=186×Scr−1.154×age−0.203×0.742 (female)×1.233 (Chinese). Statistical analysis Statistical analysis was performed using the Statistical Package for the Social Science software release V.16.0 (SPSS Inc, Chicago, Illinois, USA). Continuous variables are presented as mean (SD) or median (IQR) as appropriate. Categorical

variables are expressed as percentages. After testing for normality using the Kolmogorov-Smirnov test, continuous variables were compared using a t test or the Mann-Whitney U test, and categorical variables were compared by χ2 test or Fisher’s exact test as appropriate. Multiple logistic regression analysis was performed to evaluate predictive factors for prehypertension. Individuals with optimal BP were used as the reference group. Multicollinearity (strong correlations among independent variables) was examined by collinearity diagnostic statistics.

Variance inflation factor values >2.5 or tolerance <0.4 may indicate concern for multicollinearity in logistic regression models.14 A value of p<0.05 was considered statistically significant. Results Prevalence of prehypertension Of the 5362 cases (aged ≥35 years) initially reviewed, 651 were excluded because of missing data. Finally, 4711 cases (2674 men, 2037 women) were analysed. The proportions of optimal BP, prehypertension and hypertension were 39.1% (1842 cases), 38.6% (1819 cases) and 22.3% (1050 cases), respectively. The prevalence of prehypertension

was higher in men than in women (43.5% vs 32.2%, p<0.001). There was an increasing trend of prehypertension prevalence associated with age (table 1). Table 1 Prevalence of prehypertension and hypertension by sex and age group Risk factors clustering in different blood pressure statuses The average age, proportion of male sex, family history of hypertension, overweight, IFG, dyslipidaemia, hyperuricaemia, levels of FPG, TC, TG, BMI and UA were significantly higher in the prehypertension and hypertension groups than in the optimal BP group (all p<0.05). The proportions of DM, obesity and level of LDL-C were also higher in the hypertension group than in the optimal Dacomitinib BP group (all p<0.05); however, the differences were not significant in the prehypertension group compared with that in the optimal BP group (table 2). Table 2 Cardiovascular risk factors in different blood pressure statuses Cardiovascular risk factors in different subranges of prehypertension To explore the heterogeneity within the prehypertension category, patients with prehypertension were further classified into low-range and high-range subgroups.