Hyperuricemia and microalbuminuria are separately and independently associated with prehypertension among Chinese Han women.
BACKGROUND
Whether hyperuricemia and microalbuminuria are separately associated with prehypertension among Chinese Han women is controversial.


METHODS
Information was collected from physical examinations, personal interviews, and blood and urine samples. Associations of hyperuricemia and microalbuminuria with hypertension and prehypertension were analyzed by using multivariate nonconditional logistic regression models in 1,773 women aged ≥30 years.


RESULTS
Both average systolic and diastolic blood pressure increased with uric acid and urinary albumin-to-creatinine ratio levels (all trend P values<0.001). When subjects with microalbuminuria or using antihypertensive medication were excluded, individuals with a uric acid level in the 2(nd), 3(rd), and 4(th) quartiles of uric acid were more likely to have prehypertension than those with a uric acid level in the lowest quartile [odds ratio (OR)=1.50, 95% confidence interval (CI) 1.02-2.19; OR=1.69, 95% CI 1.12-2.56; OR=2.67, 95% CI 1.57-4.53). After exclusion of subjects with diabetes or hyperuricemia or using antihypertensive medication, compared with normotensives, individuals with high blood pressure status of prehypertension were more likely to have microalbuminuria (OR=1.83, 95% CI 1.12-2.99). Additionally, microalbuminuria was positively associated with blood pressure levels (trend P value<0.001).


CONCLUSIONS
Hyperuricemia and microalbuminuria are separately and independently associated with prehypertension among Chinese Han women.
Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, China.
Hao
H
Peng
Jiansong
J
Ding
Ying
Y
Peng
Qiu
Q
Zhang
Yanying
Y
Xu
Xiangqin
X
Chao
Honggang
H
Tian
Yonghong
Y
Zhang
D000328:Adult; D000368:Aged; D000419:Albuminuria / Q000175:diagnosis / Q000208:ethnology*; D000959:Antihypertensive Agents / Q000627:therapeutic use; D044466:Asian People / Q000706:statistics & numerical data*; D015415:Biomarkers / Q000097:blood; D001794:Blood Pressure / Q000187:drug effects; D016009:Chi-Square Distribution; D002681:China / Q000453:epidemiology; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D033461:Hyperuricemia / Q000097:blood / Q000175:diagnosis / Q000208:ethnology*; D016015:Logistic Models; D008875:Middle Aged; D015999:Multivariate Analysis; D016017:Odds Ratio; D058246:Prehypertension / Q000175:diagnosis / Q000188:drug therapy / Q000208:ethnology* / Q000503:physiopathology; D018570:Risk Assessment; D012307:Risk Factors; D012737:Sex Factors; D014527:Uric Acid / Q000097:blood
D000959:Antihypertensive Agents; D015415:Biomarkers; D014527:Uric Acid