LIMITED ACCESS DATASET FOR THE SEATTLE LONGITUDINAL STUDY

描述（由申请人提供）：西雅图纵向研究（SLS）一直是监测成人认知发展的年龄和队列趋势以及探索衰老个体差异原因的主要资源。本提案寻求支持创建一个有限访问数据集，包括1956年至1998年七波收集的所有认知和认知风格横截面和纵向数据。该数据库包含9976条完整记录，涉及4857名研究参与者。总共有2193名参与者被跟踪了7年，1189人被跟踪了14年，662人被跟踪了21年，381人被跟踪了28年，158人被跟踪了35年，38人被跟踪了42年。人口特征，如教育水平、职业状况、婚姻状况、流动性特征和生活满意度判断将被包括在内。在SLS结束之前，将维持一个有限的公众访问网站，之后数据集将转移到国家档案馆。此应用程序旨在实现NIH指令与相关科学界共享重要数据库。SLS是为数不多的涵盖从青年到老年整个年龄范围的认知发展研究之一。这是唯一一项包含长期多队列数据的此类研究。来自SLS的数据已被用于预测成人一生中认知变化的水平和速度。这些数据与讨论就业中的年龄歧视和强制退休问题有关。这也与在诊断前多年早期识别老年痴呆症风险个体有关。

DESCRIPTION (provided by applicant): The Seattle Longitudinal Study (SLS) has been a major resource for monitoring age and cohort trends in adult cognitive development and for exploring the causes of individual differences in aging. This proposal seeks support for creating a Limited Access Dataset including all cognitive and cognitive style cross-sectional and longitudinal data collected in seven waves from 1956 to 1998. The database contains 9976 complete records involving a total of 4857 study participants. A total of 2,193 participants were followed over 7 years, 1,189 Over 14 years, 662 over 21 years, 381 over 28 years, 158 over 35 years, and 38 over 42 years. Demographic characteristics, such as educational level, occupational status, marital status, mobility characteristics and life satisfaction judgments will be included. A limited public access web site will be maintained until conclusion of the SLS, after which the Dataset will be transferred to a national archive. This application seeks to implement the NIH directives for sharing important databases with the relevant scientific community. The SLS is one of the few studies of cognitive development that covers the entire age range from young adulthood to advanced old age. It is the only such study that contains multiple-cohort data over long age ranges. Data from the SLS have been utilized to predict level and rate of cognitive change across the adult lifespan. Such data have been relevant for discussions of age discrimination in employment and mandatory retirement issues. It is also relevant to the early identification of individuals at risk for dementia in old age many years prior to diagnosis.