BACKGROUND: The American Heart Association's 2020 Strategic Impact Goals define a new concept, cardiovascular (CV) health; however, current prevalence estimates of the status of CV health in US adults according to age, sex, and race/ethnicity have not been published. METHODS AND RESULTS: We included 14 515 adults (≥20 years of age) from the 2003 to 2008 National Health and Nutrition Examination Surveys. Participants were stratified by young (20-39 years), middle (40-64 years), and older (≥65 years) ages. CV health behaviors (diet, physical activity, body mass index, smoking) and CV health factors (blood pressure, total cholesterol, fasting blood glucose, smoking) were defined as poor, intermediate, or ideal. Fewer than 1% of adults exhibited ideal CV health for all 7 metrics. For CV health behaviors, nonsmoking was most prevalent (range, 60.2%-90.4%), whereas ideal Healthy Diet Score was least prevalent (range, 0.2%-2.6%) across groups. Prevalences of ideal body mass index (range, 36.5%-45.3%) and ideal physical activity levels (range, 50.2%-58.8%) were higher in young adults compared with middle or older ages. Ideal total cholesterol (range, 23.7%-36.2%), blood pressure (range, 11.9%-16.3%), and fasting blood glucose (range, 31.2%-42.9%) were lower in older adults compared with young and middle-aged adults. Prevalence of poor CV health factors was lowest in young age but higher at middle and older ages. Prevalence estimates by age and sex were consistent across race/ethnic groups. CONCLUSIONS: These prevalence estimates of CV health represent a starting point from which effectiveness of efforts to promote CV health and prevent CV disease can be monitored and compared in US adult populations.
BACKGROUND: The American Heart Association's 2020 Strategic Impact Goals define a new concept, cardiovascular (CV) health; however, current prevalence estimates of the status of CV health in US adults according to age, sex, and race/ethnicity have not been published. METHODS AND RESULTS: We included 14 515 adults (≥20 years of age) from the 2003 to 2008 National Health and Nutrition Examination Surveys. Participants were stratified by young (20-39 years), middle (40-64 years), and older (≥65 years) ages. CV health behaviors (diet, physical activity, body mass index, smoking) and CV health factors (blood pressure, total cholesterol, fasting blood glucose, smoking) were defined as poor, intermediate, or ideal. Fewer than 1% of adults exhibited ideal CV health for all 7 metrics. For CV health behaviors, nonsmoking was most prevalent (range, 60.2%-90.4%), whereas ideal Healthy Diet Score was least prevalent (range, 0.2%-2.6%) across groups. Prevalences of ideal body mass index (range, 36.5%-45.3%) and ideal physical activity levels (range, 50.2%-58.8%) were higher in young adults compared with middle or older ages. Ideal total cholesterol (range, 23.7%-36.2%), blood pressure (range, 11.9%-16.3%), and fasting blood glucose (range, 31.2%-42.9%) were lower in older adults compared with young and middle-aged adults. Prevalence of poor CV health factors was lowest in young age but higher at middle and older ages. Prevalence estimates by age and sex were consistent across race/ethnic groups. CONCLUSIONS: These prevalence estimates of CV health represent a starting point from which effectiveness of efforts to promote CV health and prevent CV disease can be monitored and compared in US adult populations.
Authors: T B Dinh-Zarr; D A Sleet; R A Shults; S Zaza; R W Elder; J L Nichols; R S Thompson; D M Sosin Journal: Am J Prev Med Date: 2001-11 Impact factor: 5.043
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