Vintimilla Raul, Johnson Darian, Taylor Douglas, Hall James, Zhang Fan, O'Bryant Sid
Institute for Translational Research University of North Texas Health Science Center Fort Worth Texas USA.
Texas College of Osteopathic Medicine University of North Texas Health Science Center Fort Worth Texas USA.
Alzheimers Dement (N Y). 2025 Feb 27;11(1):e70060. doi: 10.1002/trc2.70060. eCollection 2025 Jan-Mar.
In this analysis of cognitively unimpaired (CU) Hispanic participants from the Health and Aging Brain Study: Health Disparities (HABS-HD), we aimed to identify the main predictor factors for cognitive performance and their relative importance (weight).
The HABS-HD is a community-based longitudinal cohort study. Data from 952 CU Hispanics, enrolled from 2017 to February 2024, were analyzed. Random forest, an assembly learning method based on decision trees, was used to cross-sectionally forecast the predictive value of 42 risk factors (4 demographic variables, 4 socioeconomic variables, 6 psychosocial variables, 17 health variables, and 11 plasma and magnetic resonance imaging biomarkers) together, and the weighting of each factor for different cognitive domains (global cognition, memory, language, executive function, attention, and processing speed).
Participants included in the analyses had a mean age of 61.3 years (9.14), 69.4% were female, and had a mean of 10.52 (4.61) years of education. Income, glucose levels, plasma amyloid beta (Aβ)42, total tau, and neurofilament light chain were in the top 10 predictors in six cognitive domains. Age, education years, Penn State Worry Questionnaire, body mass index, and C-reactive protein were the main predictors in four cognitive domains, while plasma Aβ40 was in the top 10 list for five cognitive domains.
Results support the notion that cognitive performance depends on interactions among social, economic, biological, and functional factors. The effects of factors together, and the weight of each factor in various cognitive domains may be different in Hispanics. More studies comparing different ethnic groups are necessary to help in the development of tailored interventions to prevent cognitive decline.
Numerous factors have been associated with cognitive decline and dementia.Research on these factors has relied on a meta-analysis of their individual association with cognition, consolidating data from different non-Hispanic White populations.Hispanics are the largest minority group in the United States, and only a few studies have analyzed the overall impact of these factors together, and their individual relative effect in different cognitive domains.We found that cognitive performance in Hispanics may be a result of interactions among social, economic, biological, and functional factors.
在这项对来自健康与衰老大脑研究：健康差异（HABS-HD）中认知未受损（CU）的西班牙裔参与者的分析中，我们旨在确定认知表现的主要预测因素及其相对重要性（权重）。
HABS-HD是一项基于社区的纵向队列研究。分析了2017年至2024年2月招募的952名CU西班牙裔的数据。随机森林是一种基于决策树的集成学习方法，用于横断面预测42个风险因素（4个人口统计学变量、4个社会经济变量、6个心理社会变量、17个健康变量以及11个血浆和磁共振成像生物标志物）的预测价值，以及每个因素在不同认知领域（整体认知、记忆、语言、执行功能、注意力和处理速度）的权重。
纳入分析的参与者平均年龄为61.3岁（9.14），69.4%为女性，平均受教育年限为10.52年（4.61）。收入、血糖水平、血浆淀粉样β蛋白（Aβ）42、总tau蛋白和神经丝轻链在六个认知领域的前10大预测因素中。年龄、受教育年限、宾夕法尼亚州忧虑问卷、体重指数和C反应蛋白是四个认知领域的主要预测因素，而血浆Aβ40在五个认知领域的前10名中。
结果支持认知表现取决于社会、经济、生物和功能因素之间相互作用的观点。在西班牙裔中，这些因素共同的影响以及每个因素在各个认知领域的权重可能有所不同。需要更多比较不同种族群体的研究，以帮助制定针对性的干预措施来预防认知能力下降。
许多因素与认知能力下降和痴呆症有关。对这些因素的研究依赖于对它们与认知的个体关联的荟萃分析，整合了来自不同非西班牙裔白人人群的数据。西班牙裔是美国最大的少数族裔群体，只有少数研究一起分析了这些因素的总体影响以及它们在不同认知领域的个体相对影响。我们发现西班牙裔的认知表现可能是社会、经济、生物和功能因素相互作用的结果。
