Yao Yu, Zhao-Xu Zhang, Su-Feng Yin, Shou-Ling Wu, Zun-Jing Liu
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Abstract
Background: The American Heart Association defines cardiovascular health in terms of four behaviors (smoking, diet, physical activity, and body weight) and three factors (plasma glucose, cholesterol, and blood pressure). By this definition, the prevalence of ideal cardiovascular health behaviors and factors (ICHBF) is negatively correlated with all-cause mortality and risks of cardiovascular and cerebrovascular diseases and malignancy.
Aim: To investigate the changing trends of cardiovascular and cerebrovascular health scores in the Kailuan study population from 2006 to 2011.
Methods: The Kailuan population data from three health checkups held in 2006-2007, 2008-2009, and 2010-2011 were analyzed, and the constituent ratios of cardiovascular and cerebrovascular health behaviors and factors at ideal, intermediate, and poor levels were calculated by using Huffman and Capewell method. Simultaneously, the cardiovascular and cerebrovascular health behavior and factor scores were calculated.
Results: From 2006 to 2007, the proportion of people with ideal physical exercise, low salt diet, ideal body mass index, ideal total cholesterol level, no smoking, ideal blood sugar, and ideal blood pressure was 13.12%, 9.34%, 49.17%, 64.20%, 49.27%, 69.99%, and 20.55%, respectively, in men with a health score of 8.46, and 12.00%, 9.13%, 61.60%, 64.28%, 98.19%, 78.90% and 36.92% in women, with a score of 10.02. From 2008 to 2009, the proportion was 16.09%, 14.04%, 51.94%, 65.02%, 40.18%, 66.44%, and 17.04% in men, with a score of 8.18, and 16.860%, 17.360%, 64.010%, 67.433%, 98.220%, 76.370%, and 42.340% in women, with a score of 10.12. From 2010 to 2011, the proportion was 12.22%, 17.65%, 49.40%, 68.33%, 48.17%, 64.67%, and 14.68% in males, having a score of 8.21, while in females, the proportion was 11.83%, 18.09%, 49.40%, 67.85%, 98.82%, 74.52%, and 37.78%, with a score of 9.90.
Conclusion: The prevalence of ideal cardiovascular and cerebrovascular health behaviors and factors is low in the Kailuan study population due to inadequate scores of relevant health metrics.
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