title: Positive changes in ideal CVH metrics reduce the incidence of stroke.
abstract: The American Heart Association defined 7 ideal cardiovascular health (CVH) metrics and the benefits of them in reducing the incidence of stroke are well established, but it is unclear whether changes in them alter stroke risk. We calculated the changes of 7 ideal CVH metrics from 2006 to 2008 among 64,373 participants in the Kailuan study. We tested whether changes in the numbers and total scores for the CVH metrics were associated with the incidence of stroke in the 4.89 person-years follow-up. Cox regression modeling was used to estimate the risk of stroke. By year 2008, CVH metrics number of 32.54% participants improved (change ≥+1); 31.90% deteriorated (≤-1); 35.56% stayed the same; In the follow-up,we identified1,182 incident stroke events. Each increase in CVH metrics and every 1-point increase in total CVH score from 2006 to 2008 were associated with reduced odds of total stroke (hazard ratio = 0.87; 95% confidence interval; 0.83-0.92 and 0.89[0.86-0.92] respectively), after adjusting for age, gender, educational level, income and scores for the metrics of ideal CVH at baseline. Positive changes in ideal CVH metrics reduce the incidence of stroke. Our results support the concept that achieving ideal CVH helps to prevent stroke.
authors.affiliation: Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
authors.forename: Xiaomeng
authors.initials: X
authors.lastname: Yang
authors.affiliation: Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.|Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
authors.forename: Anxin
authors.initials: A
authors.lastname: Wang
authors.affiliation: Department of Cardiology, Tangshan people's Hospital, Tangshan, China.
authors.forename: Xiaoxue
authors.initials: X
authors.lastname: Liu
authors.affiliation: Department of Cardiology, Kailuan Hospital, Hebei United University, Tangshan, China.
authors.forename: Shasha
authors.initials: S
authors.lastname: An
authors.affiliation: Department of Cardiology, Kailuan Hospital, Hebei United University, Tangshan, China.
authors.forename: Shuohua
authors.initials: S
authors.lastname: Chen
authors.affiliation: Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.|China National Clinical Research Center for Neurological Diseases, Beijing, China.|Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.
authors.forename: Yilong
authors.initials: Y
authors.lastname: Wang
authors.affiliation: Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.|China National Clinical Research Center for Neurological Diseases, Beijing, China.|Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.
authors.forename: Yongjun
authors.initials: Y
authors.lastname: Wang
authors.affiliation: Department of Cardiology, Kailuan Hospital, Hebei United University, Tangshan, China.
authors.forename: Shouling
authors.initials: S
authors.lastname: Wu
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002318:Cardiovascular Diseases / Q000453:epidemiology / Q000209:etiology; D005500:Follow-Up Studies; D015438:Health Behavior; D006801:Humans; D015994:Incidence; D008875:Middle Aged; D011159:Population Surveillance; D016016:Proportional Hazards Models; D012307:Risk Factors; D020521:Stroke / Q000453:epidemiology* / Q000209:etiology*; D014481:United States / Q000453:epidemiology; D055815:Young Adult