Harmonized Diagnostic Assessment of Dementia (DAD) for Longitudinal Aging Study in India (LASI) Genomic Study-Covid-19 Administrative Supplement Year 2

项目摘要 新冠肺炎疫情给全球各国带来了严重风险。印度可能特别脆弱 因为它的卫生系统相对薄弱，人口密度高，非传染性疾病不断增长 负担，以及大量的低收入人口。自2020年5月以来，我们开发和管理了一种双 每月电话调查，将持续12个月，跟踪知识和态度 对新冠肺炎的态度，以及监测受访者的健康、认知、医疗利用、 以及家庭收入和消费，作为协调诊断评估的一个大样本 印度纵向老龄化研究中的痴呆症。 印度纵向老龄化研究对痴呆症的协调诊断评估(LASI-DAD) 是第一个也是唯一一个关于晚年认知和痴呆症的具有全国代表性和公开可用的数据集 在印度。它管理协调认知评估协议(HCAP)，该协议旨在 与世界各地正在进行的关于老龄化的纵向研究相协调，包括健康和退休 在美国学习(HRS)和在印度之前的学习。这套丰富的认知表型和各种 其他健康和社会环境表型，以及来自全基因组测序的基因数据， 为我们提供了一个独特的机会，以确定潜在的痴呆症和AD风险的突变谱 印度有代表性的样本。 在本申请中，我们的目标是在接下来的12个月内再进行两轮电话调查 目前的一年期结束后的一段时期，以了解COVID的较长期影响 大流行。大流行影响了日常生活，这些影响很可能会持续到 从长远来看。为了捕捉这种持久的影响，我们的目标是收集另外两轮数据 12个月的时间段。利用第一波LASI-DAD，然后我们将调查新冠肺炎是如何- 社会、经济和政策环境的相关变化对受访者的健康有不同的影响， 尤其是认知和痴呆症。我们还将致力于向更广泛的研究社区发布数据，以便所有人 感兴趣的研究人员将有权访问八轮丰富的、具有全国代表性的小组数据 在大流行之后。

Project Summary The COVID-19 pandemic poses grave risks to countries across the globe. India may be particularly vulnerable as it has relatively weak health systems, high population density, a growing non-communicable disease burden, and a large low-income population. Since May 2020, we have developed and administered a bi- monthly phone survey which will continue over the course of 12 months, tracking the knowledge of and attitude toward COVID-19, as well as monitoring changes in the respondents’ health, cognition, health care utilization, and household income and consumption, for a large subsample of the Harmonized Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India. The Harmonized Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD) is the first and only nationally representative and publicly available dataset on late-life cognition and dementia in India. It administers the Harmonized Cognitive Assessment Protocol (HCAP) that is designed to be harmonized with ongoing longitudinal studies of aging around the world, including the Health and Retirement Study (HRS) in the United States and prior studies in India. This rich set of cognitive phenotypes and a variety of other health and social environment phenotypes, as well as genotype data from whole genome sequencing, give us a unique opportunity to identify the mutational spectrum underlying the risk of dementia and AD in a representative sample in India. In this application, we aim to conduct two additional rounds of phone surveys over the following 12-month period after the conclusion of the current one-year period to capture longer term effects of the COVID pandemic. The pandemic has influenced everyday lives, and it is likely that these effects may be sustained in the longer term. In order to capture such prolonged effects, we aim to collect two additional rounds of data over a 12-month time period. Leveraging the first wave of LASI-DAD, we will then investigate how COVID-19- related changes in the social, economic, and policy environments differentially impact the respondents’ health, particularly cognition and dementia. We will also aim to release data to the wider research community so all interested researchers will have access to eight rounds of rich, nationally representative panel data throughout and after the pandemic.