National Trends of Vascular Risk Factor Control Among Stroke Survivors: From the National Health and Nutrition Examination Survey 2009 to 2020
JOURNAL OF THE AMERICAN HEART ASSOCIATION(2024)
摘要
Background: Contemporary data describing the national trends on vascular risk factor control among stroke survivors are limited. Methods and results: This is a cross-sectional analysis of the National Health and Nutrition Examination Survey cycles 2009 to 2010 to 2017 to March 2020. Adults (>= 18 years of age) with a self-reported diagnosis of stroke were identified. Age-adjusted trends in hypertension, diabetes, and hyperlipidemia control were examined. Sex and racial differences in vascular risk factor control were also investigated. Among 32 497 adult individuals who participated in the National Health and Nutrition Examination Survey, 1354 participants (4.2%) self-reported a prior diagnosis of stroke (55% were women). The rates of age-adjusted blood pressure control worsened when using the cutoff <140/90 mm Hg (79.1% in 2009-2010 versus 61.5% in 2017-March 2020, P-trend<0.001) and using the cutoff <130/80 mm Hg (53.3% in 2009-2010 versus 38.6% in 2017-March 2020, P-trend=0.006). Age-adjusted diabetes control (hemoglobin A1c <7 mg/dL) did not significantly change during the study period (88.8% in 2009-2010 versus 85.9% in 2017-March 2020, P-trend=0.41). Achieving a total cholesterol level <200 mg/dL did not change during the study period (67.3% in 2009-2010 versus 73.3% in 2017-March 2020, P-trend=0.16). These findings were mostly consistent in men and women and across the different racial and ethnic groups. Conclusions: In the United States, secondary prevention was suboptimal for stroke survivors, and there has not been any major significant improvement in the rates of achieving the recommended targets for vascular risk factors during the past decade. These findings highlight the need for targeted interventions to improve these modifiable risk factors.
更多查看译文
关键词
diabetes,hyperlipidemia,hypertension,stroke
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要