Butt Sara Ayaz, Retamales Mauricio Tano, Javed Zulqarnain, Hagan Kobina, Arshad Hassaan Bin, Khan Safi, Acquah Isaac, Nikoloski Zlatko, Mossialos Elias, Cainzos-Achirica Miguel, Nasir Khurram
Houston Methodist Research Institute, Houston Methodist, Houston, Texas, USA.
Nuclear Engineering Department, Texas A&M University, Texas, USA.
JACC Adv. 2024 May 15;3(7):100928. doi: 10.1016/j.jacadv.2024.100928. eCollection 2024 Jul.
Poverty is associated with atherosclerotic cardiovascular disease (ASCVD). While poverty can be evaluated using income, a unidimensional poverty metric inadequately captures socioeconomic adversity.
The aim of the study was to examine the association between a multidimensional poverty measure and ASCVD.
Survey data from the National Health Interview Survey was analyzed. Four poverty dimensions were used: income, education, self-reported health, and health insurance status. A weighted deprivation score ( ) was calculated for each person. The multidimensional poverty index was computed for various cutoffs, , for total population, and by ASCVD status. The association between multidimensional poverty and ASCVD was examined using Poisson regression. Area under receiver operator characteristics curve analysis was performed to compare the multidimensional poverty measure with the income poverty measure as a classification tool for ASCVD.
Among the 328,164 participants, 55.0% were females, the mean age was 46.3 years, 63.1% were non-Hispanic Whites, and 14.1% were non-Hispanic Blacks. Participants with ASCVD (7.95%) experienced greater deprivation at each multidimensional poverty cutoff, , compared to those without ASCVD. In adjusted models, higher burden of multidimensional poverty was associated with up to 2.4-fold increased prevalence of ASCVD ( = 0.25, adjusted prevalence ratio [aPR] = 1.66, < 0.001; = 0.50, aPR = 1.99; = 0.75, aPR = 2.29; < 0.001; = 1.00, aPR = 2.38, < 0.001). Multidimensional poverty exhibited modestly higher discriminant validity, compared to income poverty (area under receiver operator characteristics = 0.62 vs 0.58).
There is an association between the multidimensional poverty and ASCVD. Multidimensional poverty index demonstrates slightly better discriminatory power than income alone. Future validation studies are warranted to redefine poverty's role in health outcomes.
贫困与动脉粥样硬化性心血管疾病(ASCVD)相关。虽然可以使用收入来评估贫困状况,但单一维度的贫困指标无法充分反映社会经济逆境。
本研究旨在探讨多维贫困衡量指标与ASCVD之间的关联。
分析了来自国家健康访谈调查的调查数据。使用了四个贫困维度:收入、教育、自我报告的健康状况和健康保险状况。为每个人计算加权剥夺分数( )。针对不同的临界值 、总体人群以及按ASCVD状态计算多维贫困指数。使用泊松回归分析多维贫困与ASCVD之间的关联。进行了受试者工作特征曲线下面积分析,以比较多维贫困衡量指标与收入贫困衡量指标作为ASCVD分类工具的情况。
在328,164名参与者中,55.0%为女性,平均年龄为46.3岁,63.1%为非西班牙裔白人,14.1%为非西班牙裔黑人。与无ASCVD的参与者相比,患有ASCVD的参与者(7.95%)在每个多维贫困临界值 时经历了更大程度的剥夺。在调整模型中,多维贫困负担加重与ASCVD患病率升高高达2.4倍相关( = 0.25,调整患病率比[aPR] = 1.66, < 0.001; = 0.50,aPR = 1.99; = 0.75,aPR = 2.29; < 0.001; = 1.00,aPR = 2.38, < 0.001)。与收入贫困相比,多维贫困表现出略高的判别效度(受试者工作特征曲线下面积 = 0.62对0.58)。
多维贫困与ASCVD之间存在关联。多维贫困指数的判别能力略优于单独的收入。未来有必要进行验证研究,以重新界定贫困在健康结果中的作用。