title: Ideal Cardiovascular Health Metrics and Incident Hyperuricemia.
abstract: Hyperuricemia has been shown to be associated with increased risks of gout and cardiovascular diseases. We prospectively investigated the association between the American Heart Association (AHA) ideal cardiovascular health metrics, including smoking, body mass index, dietary intake, physical activity, blood pressure, total cholesterol, and fasting blood glucose, and the risk of developing hyperuricemia.
  
  
  
  We included 77,787 Chinese adults, ages ≥18 years (60,951 men and 16,836 women), without hyperuricemia at the baseline (2006) in this study. Information on the cardiovascular health metrics at baseline was collected. Incident hyperuricemia cases were identified by elevated serum uric acid concentrations, which were repeatedly assessed in 2006, 2008, 2010, and 2012, respectively. Cox regression was used to calculate the hazard ratios (HRs) and 95% confidence intervals (95% CIs) for incident hyperuricemia according to the baseline ideal cardiovascular health metrics.
  
  
  
  We observed an inverse relation between the greater numbers of ideal cardiovascular health metrics at baseline and lower risks of developing hyperuricemia during 6 years of followup. After adjusting for age, sex, alcohol consumption, and other potential confounders, the HRs for incident hyperuricemia were 0.95, 0.84, 0.72, and 0.64 (95% CIs 0.58-0.70, P for trend < 0.0001) for participants who met 2, 3, 4, and 5-7 metrics, respectively, compared with those who met 0-1 cardiovascular health metrics.
  
  
  
  Greater cardiovascular health metrics were associated with lower risk of hyperuricemia in this Chinese population, suggesting that the modifiable construct defined by the AHA could be of significance in reducing the risk of developing hyperuricemia-related diseases, such as gout.
authors.affiliation: Tianjin Medical University, Tianjin, China, and Chinese Medicine Hospital, North China University of Science and Technology, Tangshan, China.
authors.forename: Zheng
authors.initials: Z
authors.lastname: Li
authors.affiliation: Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
authors.forename: Lingmin
authors.initials: L
authors.lastname: Meng
authors.affiliation: Kailuan Hospital, North China University of Science and Technology, Tangshan, China, and Tianjin Medical University, Tianjin, China.
authors.forename: Zhe
authors.initials: Z
authors.lastname: Huang
authors.affiliation: Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
authors.forename: Liufu
authors.initials: L
authors.lastname: Cui
authors.affiliation: Jacobi Medical Center, Albert Einstein College of Medicine, Morris Park, Bronx, New York.
authors.forename: Weijuan
authors.initials: W
authors.lastname: Li
authors.affiliation: Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
authors.forename: Jingsheng
authors.initials: J
authors.lastname: Gao
authors.affiliation: Tianjin Medical University, Tianjin, China.
authors.forename: Zhanqi
authors.initials: Z
authors.lastname: Wang
authors.affiliation: Tianjin Medical University and Tianjin Chest Hospital, Tianjin, China.
authors.forename: Rui
authors.initials: R
authors.lastname: Zhang
authors.affiliation: Tianjin Medical University, Tianjin, China, and Chinese Medicine Hospital, North China University of Science and Technology, Tangshan, China.
authors.forename: Jing
authors.initials: J
authors.lastname: Zhou
authors.affiliation: Tianjin Medical University, Tianjin, China.
authors.forename: Ge
authors.initials: G
authors.lastname: Zhang
authors.affiliation: Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
authors.forename: Shuohua
authors.initials: S
authors.lastname: Chen
authors.affiliation: Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
authors.forename: Xiaoming
authors.initials: X
authors.lastname: Zheng
authors.affiliation: Tianjin Chest Hospital, Tianjin, China.
authors.forename: Hongliang
authors.initials: H
authors.lastname: Cong
authors.affiliation: Xiang Gao, MD, PhD: Pennsylvania State University, University Park.
authors.forename: Xiang
authors.initials: X
authors.lastname: Gao
authors.affiliation: Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
authors.forename: Shouling
authors.initials: S
authors.lastname: Wu
mesh_terms: D000328:Adult; D001786:Blood Glucose / Q000032:analysis; D001794:Blood Pressure; D015992:Body Mass Index; D002318:Cardiovascular Diseases / Q000097:blood / Q000150:complications* / Q000503:physiopathology*; D002681:China / Q000453:epidemiology; D002784:Cholesterol / Q000097:blood; D004032:Diet; D015444:Exercise; D005215:Fasting / Q000097:blood; D005260:Female; D006801:Humans; D033461:Hyperuricemia / Q000453:epidemiology / Q000209:etiology*; D015994:Incidence; D008297:Male; D016016:Proportional Hazards Models; D011446:Prospective Studies; D012044:Regression Analysis; D012307:Risk Factors; D012907:Smoking; D014527:Uric Acid / Q000097:blood
chemical_list: D001786:Blood Glucose; D014527:Uric Acid; D002784:Cholesterol