Department of Epidemiology & Biostatistics, College of Public Health University of Georgia Athens GA.
Division of Health Services Research, Department of Foundations of Medicine New York University Long Island School of Medicine Mineola NY.
J Am Heart Assoc. 2023 Jan 17;12(2):e026940. doi: 10.1161/JAHA.122.026940. Epub 2023 Jan 10.
Background Disparities in cardiovascular disease (CVD) outcomes persist across the United States. Social determinants of health play an important role in driving these disparities. The current study aims to identify the most important social determinants associated with CVD mortality over time in US counties. Methods and Results The authors used the Agency for Healthcare Research and Quality's database on social determinants of health and linked it with CVD mortality data at the county level from 2009 to 2018. The age-standardized CVD mortality rate was measured as the number of deaths per 100 000 people. Penalized generalized estimating equations were used to select social determinants associated with county-level CVD mortality. The analytic sample included 3142 counties. The penalized generalized estimating equation identified 17 key social determinants of health including rural-urban status, county's racial composition, income, food, and housing status. Over the 10-year period, CVD mortality declined at an annual rate of 1.08 (95% CI, 0.74-1.42) deaths per 100 000 people. Rural counties and counties with a higher percentage of Black residents had a consistently higher CVD mortality rate than urban counties and counties with a lower percentage of Black residents. The rural-urban CVD mortality gap did not change significantly over the past decade, whereas the association between the percentage of Black residents and CVD mortality showed a significant diminishing trend over time. Conclusions County-level CVD mortality declined from 2009 through 2018. However, rural counties and counties with a higher percentage of Black residents continued to experience higher CVD mortality. Median income, food, and housing status consistently predicted higher CVD mortality.
在美国,心血管疾病(CVD)的结局存在差异。健康的社会决定因素在导致这些差异方面发挥着重要作用。本研究旨在确定与美国县 CVD 死亡率随时间变化相关的最重要的社会决定因素。
作者使用医疗保健研究与质量局的社会决定因素数据库,并将其与 2009 年至 2018 年县一级 CVD 死亡率数据相联系。年龄标准化 CVD 死亡率的测量方法为每 10 万人中的死亡人数。使用惩罚广义估计方程来选择与县一级 CVD 死亡率相关的社会决定因素。分析样本包括 3142 个县。惩罚广义估计方程确定了 17 个健康的关键社会决定因素,包括城乡状况、县的种族构成、收入、食品和住房状况。在 10 年期间,CVD 死亡率以每年每 10 万人 1.08 人(95%CI,0.74-1.42)的速度下降。农村县和黑人居民比例较高的县的 CVD 死亡率一直高于城市县和黑人居民比例较低的县。过去十年,城乡 CVD 死亡率差距没有明显变化,而黑人居民比例与 CVD 死亡率之间的关联随着时间的推移呈显著下降趋势。
2009 年至 2018 年,县一级 CVD 死亡率下降。然而,农村县和黑人居民比例较高的县继续经历较高的 CVD 死亡率。中等收入、食品和住房状况始终预示着更高的 CVD 死亡率。