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Sociodemographic Correlates of Cognition in the Multi-Ethnic Study of Atherosclerosis (MESA)

机译:社会人口统计学与动脉粥样硬化(MESA)多民族研究中的认知相关

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Objective: To describe the methodology utilized to evaluate cognitive function in the Multi-Ethnic Study of Atherosclerosis (MESA) and to present preliminary results by age, sex, and race/ethnicity. Design: Cross-sectional measurements of a prospective observational cohort. Setting: Residents of 6 U.S. communities free of cardiovascular disease at baseline (2000-02). Participants: 4,591 adults who completed the fifth MESA clinical examination in 2011-12; mean age 70.3 (SD: 9.5) years, 53.1% women, 40.7% non-Hispanic white, 26.4% non-Hispanic black, 21.4% Hispanic, and 11.5% Chinese. Measurements: The cognitive battery consisted of the Cognitive Abilities Screening Instrument (version 2) to evaluate global cognition, the Digit Symbol Code for processing speed and Digit Spans Forward and Backward to assess memory. Demographic, socioeconomic, and cultural covariates were also collected for descriptive statistics and multivariate modeling. Results: Associations between socioeconomic factors and cognition revealed that age, race/ethnicity, education, occupational status, household income, health insurance type, household size, place of birth, years and generation in U.S., and the presence of the ApoE4 allele were significantly associated with performance on the cognitive tests, although patterns varied by specific test, racial/ethnicity, and sociocultural factors. Conclusion: As many of the influencing cultural and socioeconomic factors measured here are complex, multifactorial, and may not be adequately quantified, caution has been
机译:目的:描述在动脉粥样硬化多种族研究(MESA)中用于评估认知功能的方法,并按年龄,性别和种族/民族提出初步结果。设计:前瞻性观察人群的横断面测量。地点:基线时(2000-02年)美国6个无心血管疾病社区的居民。参加人数:4591名成年人,他们在2011-12年完成了第五次MESA临床检查;平均年龄70.3(SD:9.5)岁,女性53.1%,非西班牙裔白人40.7%,非西班牙裔黑人26.4%,西班牙裔21.4%,中国人11.5%。测量:认知电池包括用于评估整体认知的认知能力筛选工具(版本2),用于处理速度的数字符号代码以及用于评估记忆的向前和向后数字范围。还收集了人口,社会经济和文化协变量,以进行描述性统计和多元建模。结果:社会经济因素与认知之间的关联显示,在美国,年龄,种族/民族,教育,职业状况,家庭收入,健康保险类型,家庭规模,出生地,年龄和世代以及ApoE4等位基因的存在显着与认知测验的表现有关,尽管模式因特定测验,种族/民族和社会文化因素而异。结论:由于此处测量的许多影响文化和社会经济因素是复杂的,多因素的,可能无法充分量化,因此已经谨慎

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