Measurement and Analysis of Aging, Cognition and Alzheimer's Disease and Related Dementia (ADRD) Risk Factors at Midlife in the Kenya Life Panel Survey (KLPS)

项目摘要/摘要 在过去的15年里，在理解两者之间的联系方面取得了实质性的科学进展 暴露和AD/ADRD危险因素。然而，撒哈拉以南非洲(SSA)仍然是一个有 关于AD/ADRD流行率和特定背景风险因素的数据和了解有限。家长研究 (R01-AG077001)试图通过建立肯尼亚生命小组调查(KLPS)来解决这一研究差距，如下所示 AD/ADRD生命过程风险因素研究的首屈一指的SSA队列。KLPS是一种独特的、丰富的表型 一组肯尼亚成年人，他们从小就被跟踪，并参与了一项随机的 儿童健康干预(学校驱虫)。现有数据集包含关于健康的信息， 6500多名肯尼亚人的认知、教育、人口、社会态度和劳动力市场结果 在1998年(8-15岁)至2021年(31-39岁)进行的调查。因此，KLPS提供了一个难得的机会来研究 认知，AD/ADRD的决定因素和相关的风险因素，在生命过程中，直接 儿童时期、成年初期和中年时期的测量。KLPS第五轮老化模块(KLPS-5A) 由NIA家长基金资助，收集详细的中年基线认知测量，与 统一认知评估议定书(HCAP)研究网络，以及与老龄化有关的健康数据 作为关于AD/ADRD风险因素和暴露措施的信息，在35至43岁的参与者中 在调查时年事已高。一个新的方面是能够将这些中年指标与来自 童年和成年早期是在同一时期收集的，而不是在以后的生活中通过回忆收集的。另一个 创新是通过实验评估儿童健康干预对AD/ADRD的长期影响的能力 中年的风险因素。 拟议的行政补助金属于家长补助金的范围，将(A)通过以下方式加强KLPS-5A 一套显著扩展和更全面的中年暴露测量(I)职业 复杂性、工作特点和工作压力；(2)社会互动和支持；(3)空气污染 暴露措施，全部基于同一样本的受访者，还将(B)创建公共数据集、项目 关于这些暴露措施的材料和数据产品，以供其他人使用。拟议的措施涵盖 与AD/ADRD相关的显著和可修改的风险因素，到目前为止在本研究和 SSA和其他地方的其他低收入和中等收入情况。此外，这些拟议的措施还包括 可能受到儿童健康干预长期效果影响的风险因素。R01 家长研究计划收集这些暴露措施的部分内容；行政副刊 将支持额外的实地调查访谈，致力于大幅扩展这些数据的收集 维度，还将使我们能够将个人数据与空气污染暴露措施(来自现有来源)联系起来 和投影传感器)。这些数据将引起更广泛的研究界和公众的兴趣。

Project Summary/Abstract Over the past 15 years, substantial scientific advances have been made in understanding the links between the exposome and AD/ADRD risk factors. Yet Sub-Saharan Africa (SSA) remains a world region for which there is limited data and understanding around AD/ADRD prevalence and context-specific risk factors. The parent study (R01-AG077001) seeks to address this gap in research by establishing the Kenya Life Panel Survey (KLPS) as the premier SSA cohort for AD/ADRD life course risk factor research. The KLPS is a unique, richly phenotyped cohort of Kenyan adults who have been followed since childhood, and who were participants in a randomized child health intervention (school-based deworming). The existing dataset contains information on health, cognition, educational, demographic, social attitudes, and labor market outcomes for over 6,500 Kenyans first surveyed in 1998 (at ages 8-15) through 2021 (ages 31-39). KLPS thus provides an unusual opportunity to study cognition, and the determinants of AD/ADRD and related risk factors, over the life course, with direct measurement during childhood, young adulthood, and midlife. The KLPS Round 5 Aging Module (KLPS-5A) funded by the NIA parent grant collects detailed “midlife baseline” cognition measures aligned with the Harmonized Cognitive Assessment Protocol (HCAP) Network of studies, and aging-related health data, as well as information on AD/ADRD risk factors and exposure measures, among participants, who will be 35 to 43 years old at the time of survey. One novel aspect is the ability to link these midlife measures to existing data from childhood and early adulthood that was collected contemporaneously rather than via recall in later life. Another innovation is the ability to experimentally estimate the long-term effect of a child health intervention on AD/ADRD risk factors in midlife. The proposed administrative supplement is within scope of the parent grant, and will (a) enhance KLPS-5A with a significantly expanded and more comprehensive set of exposome measures of midlife (i) occupational complexity, job characteristics and work-related stress, (ii) social interactions and support, and (iii) air pollution exposure measures, all on the same sample of respondents, and will also (b) create public datasets, project materials, and data products on these exposome measures for use by others. The proposed measures capture salient and modifiable risk factors associated with AD/ADRD, which to date remain under-studied in this and other low- and middle-income contexts in SSA and elsewhere. In addition, these proposed measures capture risk factors that may have been influenced by the long-term effects of the child health intervention. The R01 parent study has planned to collect a partial set of these exposome measures; the administrative supplement will support an additional field survey interview dedicated to substantially expanding data collection along these dimensions, and will also allow us to link individual data to air pollution exposure measures (from existing sources and project sensors). These data will be of interest to the broader research community and public.