Literature DB >> 22787064

Prevalence of ideal cardiovascular health and its relationship with the 4-year cardiovascular events in a northern Chinese industrial city.

Shouling Wu1, Zhengrong Huang, Xinchun Yang, Yong Zhou, Anxing Wang, Li Chen, Haiyan Zhao, Chunyu Ruan, Yuntao Wu, Aijun Xin, Kuibao Li, Cheng Jin, Jun Cai.   

Abstract

BACKGROUND: The American Heart Association Committee recently developed definitions of "ideal," "intermediate," and "poor" cardiovascular health based on 7 cardiovascular disease (CVD) risk factors or health behaviors. This study evaluated the prevalence of "ideal" American Heart Association cardiovascular health metrics from June 2006 to October 2007 in the Kailuan cohort (n=101 510; age 18-98 years) in northern China and its relationship with the 4-year CVD incidence. METHODS AND
RESULTS: We used Cox proportional hazards regression to calculate hazard ratios and 95% confidence intervals for baseline health behaviors and risk factor categories. The majority of participants (63,676; 69.45%) presented with ≤3 ideal cardiovascular health metrics, whereas 8342 participants (9.1%) had 5 to 7 ideal metrics. Only 93 of 91,698 participants (0.1%) had all 7 metrics in the ideal range. There was a strong relationship between the cumulative incidence of CVD events in the 4-year follow-up and the number of ideal health metrics at baseline; the 1111 participants with 6 and 7 ideal metrics had a significantly lower cumulative incidence of CVD than subjects with no or only 1 ideal health metric (0.8% versus 3.3%). Men had higher rates of CVD events than women (2.46% versus 1.18%).
CONCLUSIONS: Few adults had ideal cardiovascular health according to the modified American Heart Association definition. We detected a strong inverse relationship between the cumulative CVD incidence and the number of ideal health metrics at baseline. Population-wide prevention, especially lifestyle improvement, is critical to increase the low-risk prevalence and thereafter decrease CVD events. Clinical Trial Registration- URL: http://www.chictr.org/cn/proj/show.aspx?proj=1441. Unique identifier: ChiCTR-TNC-11001489.

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Year:  2012        PMID: 22787064     DOI: 10.1161/CIRCOUTCOMES.111.963694

Source DB:  PubMed          Journal:  Circ Cardiovasc Qual Outcomes        ISSN: 1941-7713


  132 in total

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Authors:  Anxin Wang; Guojuan Chen; Zhaoping Su; Xiaoxue Liu; Xiaodong Yuan; Ruixuan Jiang; Yibin Cao; Shuohua Chen; Yanxia Luo; Xiuhua Guo; Shouling Wu; Xingquan Zhao
Journal:  J Neurol       Date:  2016-07-19       Impact factor: 4.849

2.  A longitudinal study of altered taste and smell perception and change in blood pressure.

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Journal:  Nutr Metab Cardiovasc Dis       Date:  2018-05-30       Impact factor: 4.222

3.  Triglycerides Mediate Body Mass Index and Nonalcoholic Fatty Liver Disease: A Population-Based Study.

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Journal:  Obes Facts       Date:  2021-03-29       Impact factor: 3.942

4.  Resting heart rate and the risk of developing impaired fasting glucose and diabetes: the Kailuan prospective study.

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5.  The association between cumulative C-reactive protein and brachial-ankle pulse wave velocity.

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Journal:  Aging Clin Exp Res       Date:  2019-07-27       Impact factor: 3.636

6.  Waist circumference and incidence of hypertension in Chinese adults : Observations from the Kailuan Study.

Authors:  H Sun; M Zheng; S Wu; M Chen; J Cai; X Yang
Journal:  Herz       Date:  2016-12-07       Impact factor: 1.443

7.  Correlation between visit-to-visit and short-term blood pressure variability calculated using different methods and glomerular filtration rate.

Authors:  J Wang; B Jiang; L Song; C Yang; Y Wu; S Chen; C Li; H Zhao; F Wang; S Wu
Journal:  J Hum Hypertens       Date:  2016-08-04       Impact factor: 3.012

Review 8.  Association between ideal cardiovascular health metrics and risk of cardiovascular events or mortality: A meta-analysis of prospective studies.

Authors:  Leilei Guo; Shangshu Zhang
Journal:  Clin Cardiol       Date:  2017-12-26       Impact factor: 2.882

9.  Outline of the report on cardiovascular diseases in China, 2014.

Authors:  Chen Weiwei; Gao Runlin; Liu Lisheng; Zhu Manlu; Wang Wen; Wang Yongjun; Wu Zhaosu; Li Huijun; Zheng Zhe; Jiang Lixin; Hu Shengshou
Journal:  Eur Heart J Suppl       Date:  2016-05-24       Impact factor: 1.803

10.  Cardiovascular Health Status and Incidence of Heart Failure in the Framingham Offspring Study.

Authors:  Matthew Nayor; Danielle M Enserro; Ramachandran S Vasan; Vanessa Xanthakis
Journal:  Circ Heart Fail       Date:  2015-12-23       Impact factor: 8.790

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