title: The ideal cardiovascular health metrics associated inversely with mortality from all causes and from cardiovascular diseases among adults in a Northern Chinese industrial city.
abstract: OBJECTIVE
  The American Heart Association has recently established seven ideal cardiovascular health metrics for cardiovascular health promotion and disease reduction (i.e., non-smoking, normal body mass index, physically active, healthy diet, and normal levels of cholesterol, blood pressure and fasting blood glucose). The present study seeks to evaluate how well these metrics predict mortality from all causes and cardiovascular diseases in adult Chinese living in a northern industrial city.
  
  
  RESULTS
  Data of 95,429 adults who participated in the Kailuan cohort study from June 2006 to October 2007 was analyzed. All participants underwent questionnaire assessment, clinical examination, laboratory assessments and were followed up biannually. During a median follow-up of 4.02 years, 1,843 deaths occurred, with 597 deaths resulting from cardiovascular diseases. Lower mortality rates from all causes and cardiovascular diseases were observed among the subjects who met a higher number of the ideal health metrics. Compared to the participants who met none or one ideal health metric, those meeting ≥5 ideal health metrics had a lower risk of all-cause mortality by 30% (adjusted hazard ratio, 0.70; 95% confidence interval, 0.56-0.88) and a lower risk of mortality from cardiovascular diseases by 39% (adjusted hazard ratio, 0.61; 95% confidence interval, 0.41-0.89) . Four metrics (smoking status, physical activity, blood pressure and fasting blood glucose) were significantly associated with all-cause mortality. Three metrics (physical activity, blood pressure and fasting blood glucose) were significantly associated with mortality from cardiovascular diseases.
  
  
  CONCLUSIONS
  The number of ideal health metrics is negatively associated with mortality rates from all causes and cardiovascular diseases among adults in a Northern Chinese industrial city. The data supports the AHA recommendation of ideal health metrics for adults from Northern China.
authors.affiliation: Department of Cardiology, Kailuan Hospital, Hebei United University, Tangshan, China.
authors.forename: Yan
authors.initials: Y
authors.lastname: Liu
authors.affiliation: Department of Cardiology, Chaoyang Hospital, Capital Medical University, Beijing, China.
authors.forename: Hong-jie
authors.initials: HJ
authors.lastname: Chi
authors.affiliation: Department of Rheumatism and Immunology, Kailuan Hospital, Hebei United University, Tangshan, China.
authors.forename: Liu-fu
authors.initials: LF
authors.lastname: Cui
authors.affiliation: Department of Cardiology, Chaoyang Hospital, Capital Medical University, Beijing, China.
authors.forename: Xin-chun
authors.initials: XC
authors.lastname: Yang
authors.affiliation: Department of Cardiology, Kailuan Hospital, Hebei United University, Tangshan, China.
authors.forename: Yun-tao
authors.initials: YT
authors.lastname: Wu
authors.affiliation: Department of Cardiology, Kailuan Hospital, Hebei United University, Tangshan, China.
authors.forename: Zhe
authors.initials: Z
authors.lastname: Huang
authors.affiliation: Department of Cardiology, Kailuan Hospital, Hebei United University, Tangshan, China.
authors.forename: Hai-yan
authors.initials: HY
authors.lastname: Zhao
authors.affiliation: Department of Cardiology, Kailuan Hospital, Hebei United University, Tangshan, China.
authors.forename: Jing-sheng
authors.initials: JS
authors.lastname: Gao
authors.affiliation: Department of Cardiology, Kailuan Hospital, Hebei United University, Tangshan, China.
authors.forename: Shou-ling
authors.initials: SL
authors.lastname: Wu
authors.affiliation: Department of Cardiology, Chaoyang Hospital, Capital Medical University, Beijing, China.
authors.forename: Jun
authors.initials: J
authors.lastname: Cai
mesh_terms: D044466:Asian People; D001786:Blood Glucose / Q000502:physiology; D001794:Blood Pressure / Q000502:physiology; D002318:Cardiovascular Diseases / Q000401:mortality*; D015331:Cohort Studies; D005260:Female; D006293:Health Promotion / Q000379:methods; D006801:Humans; D008019:Life Style; D008297:Male; D008875:Middle Aged; D009043:Motor Activity / Q000502:physiology; D012307:Risk Factors; D012907:Smoking / Q000009:adverse effects
chemical_list: D001786:Blood Glucose