Deep phenotyping and genomic data from a nationally representative study on dementia in India
Jinkook Lee1, Sarah Petrosyan2, Pranali Khobragade2
1Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA. jinkookl@usc.edu.
Scientific Data
|January 20, 2023
Summary
The Harmonized Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD) offers a new dataset on cognitive aging. This resource aids research into dementia risk factors in older Indian adults.
Area of Science:
- Gerontology
- Neuroscience
- Public Health
Background:
- Cognitive aging and dementia are significant concerns in aging populations.
- Nationally representative data is crucial for understanding dementia prevalence and risk factors in India.
Purpose of the Study:
- To present a publicly available, harmonized dataset from the Longitudinal Aging Study in India (LASI-DAD).
- To facilitate research on cognitive impairment and dementia risk factors in older Indian adults.
Main Methods:
- Collected harmonized cognitive measures from 4,096 adults aged 60+ across India.
- Acquired blood samples for biochemical assays.
- Included a global screening array and neuroimaging data for subsets of participants.
Main Results:
- A comprehensive, linked dataset including cognitive, blood, screening array, and neuroimaging data is now available.
- The dataset covers 18 states and union territories, offering broad geographical representation.
Conclusions:
- The LASI-DAD dataset provides a valuable resource for researchers studying cognitive aging and dementia in India.
- This data can advance understanding of the multifaceted risk factors associated with cognitive decline.
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