| Literature DB >> 32727279 |
Joyita Banerjee1, Urvashi Jain2, Pranali Khobragade2, Bas Weerman2, Peifeng Hu3, Sandy Chien2, Sharmistha Dey1, Prasun Chatterjee1, Judith Saxton4, Brenton Keller2, Eileen Crimmins2, Arthur Toga2, Arvind Jain5, G S Shanthi6, Ravi Kurup7, Aruna Raman7, Sankha Shubhra Chakrabarti8, Mathew Varghese9, John P John9, Himanshu Joshi9, Parvaiz Koul10, Debabrata Goswami11, Arunanshu Talukdar12, Rashmi Ranjan Mohanty13, Y Sathyanarayana Raju Yadati14, Mekala Padmaja14, Lalit Sankhe15, Sarang Pedgaonkar16, Perianayagam Arokiasamy16, David E Bloom17, Kenneth Langa18, Jorge Jovicich19, Aparajit Ballav Dey1, Jinkook Lee2, Indrajeet Singh Gambhir20, Chhaya Rajguru15.
Abstract
The Harmonized Diagnostic Assessment of Dementia for Longitudinal Aging Study in India (LASI-DAD) is a population-representative, prospective cohort study of late-life cognition and dementia. It is part of an ongoing international research collaboration that aims to measure and understand cognitive impairment and dementia risk by collecting a set of cognitive and neuropsychological assessments and informant reports, referred to as the Harmonized Cognitive Assessment Protocol (HCAP). LASI-DAD provides nationally representative data drawn from a subsample of the ongoing Longitudinal Aging Study in India (LASI). One of LASI-DAD's distinctive features is its rich geriatric assessment, including the collection of venous blood samples and brain imaging data for a subsample of respondents. In this paper, we discuss the methodological considerations of developing and implementing the HCAP protocol in India. The lessons we learned from translating and applying the HCAP protocol in an environment where illiteracy and innumeracy are high will provide important insights to researchers interested in measuring and collecting data on late-life cognition and dementia in developing countries. We further developed an innovative blood management system that enables us to follow the collection, transportation, assay, and storage of samples. Such innovation can benefit other population surveys collecting biomarker data.Entities:
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Year: 2020 PMID: 32727279 PMCID: PMC7398273 DOI: 10.1080/19485565.2020.1730156
Source DB: PubMed Journal: Biodemography Soc Biol ISSN: 1948-5565