|Dataset Full Name||Longitudinal Aging Study in India|
The LASI is a longitudinal study of a nationally representative sample of adults 45 years and older living in India. Collection for the first wave of data started in 2016 and has not been completed yet (2017). The study is based on a pilot project conducted in 2010. The primary purpose of the study is to collect data on aging health, social support and economic security that will inform future policies. It takes into account features unique to India including institutional and cultural characteristics.
National Institutes of Health (NIH)
|Health Conditions/Disability Measures|
Arthritis, Body mass index (BMI)/obesity, Cancer, Cardiovascular conditions, Diabetes, Heart attack, Pulmonary disorders, Stroke
Ambulatory disability, Cognitive disability, Functional limitations (ADLs and/or IADLs),, Hearing disability, Mental health disability, Visual disability, Work limitation
10-word list for immediate and delayed memory recall, Balance, CES-D, Grip strength, Lung function, MMSE, Self-reported Health, Timed walk, Vision test
|Measures/Outcomes of Interest|
Non-institutionalized Indian adults, ages 45 years and older
|Unit of Observation||
Individual and household
Pilot study: Four states in India:
Full implementation will sample across India.
State (in pilot study)
|Data Collection Mode||
|Data Collection Frequency||
Full implementation scheduled to be every 2 years
|Strengths and Limitations|
LASI pilot data access:
|Data Access Requirements||
Data use agreement, No cost
Harmonized LASI Pilot Data Documentation:
Other longitudinal aging studies:
LASI related publications list (Gateway to Global Aging Data):
https://g2aging.org/?section=papers (select Survey=LASI)
LASI related publications list (RAND Corporation):
Data and Documentation:
Pilot user guide 2010:
Harmonized LASI Pilot Data Documentation: Version A
Biomarker data documentation:
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The Rehabilitation Research Cross-dataset Variable Catalog has been developed through the Center for Large Data Research & Data Sharing in Rehabilitation (CLDR). The Center for Large Data Research and Data Sharing in Rehabilitation involves a consortium of investigators from the University of Texas Medical Branch, Cornell University's Yang Tan Institute (YTI), and the University of Michigan. The CLDR is funded by NIH - National Institute of Child Health and Human Development, through the National Center for Medical Rehabilitation Research, the National Institute for Neurological Disorders and Stroke, and the National Institute of Biomedical Imaging and Bioengineering. (P2CHD065702).
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