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)

项目总结/摘要 在过去的15年里，在理解这些因素之间的联系方面取得了重大的科学进展。 疾病和AD/ADRD风险因素。然而，撒哈拉以南非洲（SSA）仍然是一个世界地区， 关于AD/ADRD患病率和特定背景风险因素的数据和理解有限。母研究 （R 01-AG 077001）通过建立肯尼亚生活小组调查（KLPS）， AD/ADRD生命过程危险因素研究的首要SSA队列。KLPS是一种独特的， 一组肯尼亚成年人，他们从小就被跟踪，并且是一项随机的 儿童健康干预（学校驱虫）。现有的数据集包含有关健康的信息， 认知，教育，人口，社会态度和劳动力市场的结果，超过6,500肯尼亚人第一 调查于1998年（8-15岁）至2021年（31-39岁）进行。因此，KLPS提供了一个不寻常的机会， 认知，AD/ADRD的决定因素和相关的危险因素，在生命过程中，直接 在儿童期、青年期和中年期进行测量。KLPS第5轮老化模块（KLPS-5A） 由NIA父母补助金资助，收集了详细的“中年基线”认知措施， 协调认知评估协议（HCAP）研究网络，以及与衰老相关的健康数据， 作为AD/ADRD风险因素和暴露措施的信息，在35至43岁的参与者中 在调查的时候老了。一个新的方面是能够将这些中年测量与现有数据联系起来， 童年和成年早期的记忆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 创新是能够通过实验评估儿童健康干预对AD/ADRD的长期影响 中年的危险因素 拟议的行政补助金属于母公司补助金的范围，将（a）加强KLPS-5A， 一套范围大大扩大和更加全面的中年（一）职业 复杂性、工作特点和与工作有关的压力，（ii）社会互动和支持，以及（iii）空气污染 暴露措施，都对同一样本的受访者，也将（B）创建公共数据集，项目 材料和数据产品，这些麻烦的措施，供他人使用。建议的措施包括 与AD/ADRD相关的显著和可改变的风险因素，迄今为止在本研究中仍未得到充分研究， 撒哈拉以南非洲和其他地方的其他低收入和中等收入背景。此外，这些措施还包括： 可能受到儿童健康干预措施长期影响的风险因素。R01 母公司研究计划收集这些麻烦的措施的一部分;行政补充 将支持一个额外的实地调查访谈，致力于大大扩大数据收集沿着这些 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 和项目传感器）。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.