PDF(Pubmed)
Abstract：
UNASSIGNED: Alzheimer\'s disease (AD) poses a growing public health challenge, particularly with an aging population. While extensive research has explored the relationships between AD, socio-demographic factors, and cardiovascular risk factors, a notable gap exists in understanding these connections within the Asian American elderly population.
UNASSIGNED: This study aims to address this gap by employing the Classification and Regression Tree (CART) approach to investigate the intricate interplay of socio-demographic variables, cardiovascular risk factors, sleep patterns, prior antidepressant use, and AD among Asian American elders.
UNASSIGNED: Data from the 2017 Uniform Data Set, provided by the National Alzheimer\'s Coordinating Center, were analyzed, focusing on a sample of Asian American elders (n = 4,343). The analysis utilized the Classification and Regression Tree (CART) approach.
UNASSIGNED: CART analysis identified critical factors, including levels of independence, specific age thresholds (73.5 and 84.5 years), apnea, antidepressant use, and body mass index, as significantly associated with AD risk.
UNASSIGNED: These findings have far-reaching implications for future research, particularly in examining the roles of gender, cultural nuances, socio-demographic factors, and cardiovascular risk elements in AD within the Asian American elderly population. Such insights can inform tailored interventions, improved healthcare access, and culturally sensitive policies to address the complex challenges posed by AD in this community.
UNASSIGNED: This study aims to address this gap by employing the Classification and Regression Tree (CART) approach to investigate the intricate interplay of socio-demographic variables, cardiovascular risk factors, sleep patterns, prior antidepressant use, and AD among Asian American elders.
UNASSIGNED: Data from the 2017 Uniform Data Set, provided by the National Alzheimer\'s Coordinating Center, were analyzed, focusing on a sample of Asian American elders (n = 4,343). The analysis utilized the Classification and Regression Tree (CART) approach.
UNASSIGNED: CART analysis identified critical factors, including levels of independence, specific age thresholds (73.5 and 84.5 years), apnea, antidepressant use, and body mass index, as significantly associated with AD risk.
UNASSIGNED: These findings have far-reaching implications for future research, particularly in examining the roles of gender, cultural nuances, socio-demographic factors, and cardiovascular risk elements in AD within the Asian American elderly population. Such insights can inform tailored interventions, improved healthcare access, and culturally sensitive policies to address the complex challenges posed by AD in this community.
摘要：
■阿尔茨海默病（AD）构成了日益严重的公共卫生挑战，尤其是人口老龄化。虽然广泛的研究探索了AD之间的关系，社会人口因素，和心血管危险因素，在亚裔美国老年人群中，在理解这些联系方面存在明显差距。
■本研究旨在通过采用分类和回归树（CART）方法来研究社会人口统计学变量的复杂相互作用来解决这一差距，心血管危险因素，睡眠模式，以前使用抗抑郁药，和广告在亚裔美国老年人中。
■来自2017年统一数据集的数据，由国家阿尔茨海默氏症协调中心提供，被分析,关注亚裔美国老年人的样本(n=4,343)。该分析利用了分类和回归树(CART)方法。
■CART分析确定了关键因素，包括独立程度,具体年龄阈值（73.5和84.5岁），呼吸暂停,抗抑郁药的使用，和身体质量指数,与AD风险显著相关。
■这些发现对未来的研究具有深远的意义。特别是在研究性别的作用时，文化细微差别，社会人口因素，亚裔美国老年人群中AD的心血管危险因素。这些见解可以为量身定制的干预措施提供信息，改善医疗保健，和文化敏感的政策，以应对AD在该社区带来的复杂挑战。
■本研究旨在通过采用分类和回归树（CART）方法来研究社会人口统计学变量的复杂相互作用来解决这一差距，心血管危险因素，睡眠模式，以前使用抗抑郁药，和广告在亚裔美国老年人中。
■来自2017年统一数据集的数据，由国家阿尔茨海默氏症协调中心提供，被分析,关注亚裔美国老年人的样本(n=4,343)。该分析利用了分类和回归树(CART)方法。
■CART分析确定了关键因素，包括独立程度,具体年龄阈值（73.5和84.5岁），呼吸暂停,抗抑郁药的使用，和身体质量指数,与AD风险显著相关。
■这些发现对未来的研究具有深远的意义。特别是在研究性别的作用时，文化细微差别，社会人口因素，亚裔美国老年人群中AD的心血管危险因素。这些见解可以为量身定制的干预措施提供信息，改善医疗保健，和文化敏感的政策，以应对AD在该社区带来的复杂挑战。
