A Polysocial Approach in Exploring Racial and Ethnic Differences in Dementia and Cognitive Decline Among U.S. Older Adults: Health and Retirement Study.
Yongjing Ping, Michelle C Odden, Xi Chen, Matthew Prina, Hanzhang Xu, Hao Xiang, Chenkai Wu
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引用次数: 0
Abstract
Background and objectives: The racial or ethnic disparity in the burden of dementia exists among older adults in the United States, whereas gaps remain in understanding the synergic effect of multiple social determinants of health on diminishing this disparity. We aim to build a polysocial score for dementia and investigate the racial or ethnic difference in dementia risk among older persons with different polysocial score categories.
Research design and methods: In this prospective cohort study, we utilized longitudinal data from the Health and Retirement Study in the United States recruiting 6 945 participants aged ≥65 years who had data on 24 social determinants of health in 2006/2008. The dementia status of participants was measured by a modified version of the Telephone Interview of Cognitive Status. The stepwise Cox regression was applied to select social determinants of health associated with incident dementia to construct a polysocial score. The multivariable Poisson model and linear mixed model were utilized to investigate the associations between polysocial score and incident dementia and cognitive decline, respectively.
Results: Eight social determinants of health were used to build the polysocial score. Non-Hispanic Black older participants had a higher incidence rate (incidence rate difference [IRD] = 22.7; 95% confident interval [95% CI] = 12.7-32.8) than non-Hispanic White older adults in the low polysocial score, while this difference was substantially attenuated in the high polysocial score category (IRD = 0.5; 95% CI = -6.4 to -7.5). The cognitive decline of non-Hispanic older Black adults with high polysocial score was 84.6% slower (averaged cognitive decline: non-Hispanic White: -2.4 [95% CI = -2.5 to -2.3] vs non-Hispanic Black: -1.3 [95% CI = -1.9 to -0.8]) than that of non-Hispanic older White persons.
Discussion and implications: These findings may help comprehensively understand and address racial and ethnic disparities in dementia risk and may be integrated into existing dementia prevention programs to provide targeted interventions for community-dwelling older adults with differentiated social disadvantages.
背景和目标:美国老年人在痴呆症负担方面存在种族或民族差异,而在理解多种社会健康决定因素对缩小这种差异的协同作用方面仍存在差距。我们的目标是建立痴呆症的多元社会评分,并调查不同多元社会评分类别的老年人在痴呆症风险方面的种族或民族差异:在这项前瞻性队列研究中,我们利用了美国健康与退休研究(Health and Retirement Study)的纵向数据,招募了6 945名年龄≥65岁的参与者,这些参与者在2006/2008年拥有24个健康社会决定因素的数据。参与者的痴呆状况是通过改良版的认知状况电话访谈进行测量的。在选择与痴呆症事件相关的健康社会决定因素时,采用了逐步考克斯回归法,以构建多社会评分。多变量泊松模型和线性混合模型分别用于研究多社会因素得分与痴呆症和认知能力下降之间的关系:结果:八个健康的社会决定因素被用来建立多社会因素得分。非西班牙裔黑人老年参与者的发病率(发病率差异[IRD] = 22.7;95% 置信区间[95% CI] = 12.7-32.8)高于多社会因素得分低的非西班牙裔白人老年参与者,而这一差异在多社会因素得分高的类别中大幅减小(IRD = 0.5;95% CI = -6.4--7.5)。多社会性得分高的非西班牙裔黑人老年人的认知能力下降速度比非西班牙裔白人老年人慢84.6%(平均认知能力下降速度:非西班牙裔白人:-2.4 [95% CI = -2.5 to -2.3]与非西班牙裔黑人:-1.3 [95% CI = -1.9 to -0.8]):这些发现有助于全面了解和解决痴呆症风险中的种族和民族差异,并可纳入现有的痴呆症预防计划,为社区中处于不同社会不利地位的老年人提供有针对性的干预措施。
期刊介绍:
Innovation in Aging, an interdisciplinary Open Access journal of the Gerontological Society of America (GSA), is dedicated to publishing innovative, conceptually robust, and methodologically rigorous research focused on aging and the life course. The journal aims to present studies with the potential to significantly enhance the health, functionality, and overall well-being of older adults by translating scientific insights into practical applications. Research published in the journal spans a variety of settings, including community, clinical, and laboratory contexts, with a clear emphasis on issues that are directly pertinent to aging and the dynamics of life over time. The content of the journal mirrors the diverse research interests of GSA members and encompasses a range of study types. These include the validation of new conceptual or theoretical models, assessments of factors impacting the health and well-being of older adults, evaluations of interventions and policies, the implementation of groundbreaking research methodologies, interdisciplinary research that adapts concepts and methods from other fields to aging studies, and the use of modeling and simulations to understand factors and processes influencing aging outcomes. The journal welcomes contributions from scholars across various disciplines, such as technology, engineering, architecture, economics, business, law, political science, public policy, education, public health, social and psychological sciences, biomedical and health sciences, and the humanities and arts, reflecting a holistic approach to advancing knowledge in gerontology.