Ideal cardiovascular health status and its association with socioeconomic factors in Chinese adults in Shandong, China

• Published in: BMC public health 2016-09, Vol.16 (1), p.942-942, Article 942
• Main Authors: Ren, J, Guo, X L, Lu, Z L, Zhang, J Y, Tang, J L, Chen, X, Gao, C C, Xu, C X, Xu, A Q
• Format: Article
• Language: English
• Subjects: Adult; Age; Asian Continental Ancestry Group - statistics & numerical data; Blood pressure; Body mass index; Cardiovascular disease; Cardiovascular diseases; Cardiovascular Diseases - epidemiology; Cardiovascular Diseases - etiology; Cardiovascular Diseases - prevention & control; Chi-square test; China - epidemiology; Confidence intervals; Continuity (mathematics); Diet; Education; Educational Status; Exercise; Fasting; Female; Health Behavior; Health risks; Health Status; Health Status Indicators; Heart diseases; Humans; Hypertension; Ideal cardiovascular health metrics; Income; Logistic Models; Male; Men; Middle Aged; Morbidity; Physical fitness; Planning; Population; Prevalence; Prevention; Public health; Public health administration; Questionnaires; Regression analysis; Risk analysis; Risk Factors; Risk taking; Sex Factors; Social factors; Socioeconomic data; Socioeconomic Factors; Socioeconomic status; Socioeconomics; Statistical analysis; Statistical tests; Women
• ISSN: 1471-2458; 1471-2458
• DOI: 10.1186/s12889-016-3632-6

Cardiovascular disease (CVD) is the leading cause of morbidity and mortality in the world. In 2010, a goal released by the American Heart Association (AHA) Committee focused on the primary reduction in cardiovascular risk. Data collected from 7683 men and 7667 women aged 18-69 years were analyzed. The distribution of ideal cardiovascular health metrics based on 7 cardiovascular disease risk factors or health behaviors in according to the definition of AHA was evaluated among the subjects. The association of the socioeconomic factors on the prevalence of meeting 5 or more ideal cardiovascular health metrics was estimated by logistic regression analysis, and a chi-square test for categorical variables and the general linear model (GLM) procedure for continuous variables were used to compare differences in prevalence and in means among genders. Seven of 15350 participants (0.05 %) met all 7 cardiovascular health metrics. The women had a higher proportion of meeting 5 or more ideal health metrics compared with men (32.67 VS.14.27 %). The subjects with a higher education and income level had a higher proportion of meeting 5 or more ideal health metrics than the subjects with a lower education and income level. A comparison between subjects with meeting 5 or more ideal cardiovascular health metrics with subjects meeting 4 or fewer ideal cardiovascular health metrics reveals that adjusted odds ratio [OR, 95 % confidence intervals (95 % CI)] was 1.42 (0.95, 2.21) in men and 2.59 (1.74, 3.87) in women for higher education and income, respectively. The prevalence of meeting all 7 cardiovascular health metrics was low in the adult population. Women, young subjects, and those with higher levels of education or income tend to have a greater number of the ideal cardiovascular health metrics. Higher socioeconomic status was associated with an increasing prevalence of meeting 5 or more cardiovascular health metrics in women but not in men. It's urgent to develop comprehensive population-based interventions to improve the cardiovascular risk factors in Shandong Province in China.