DOWNLOAD Disability
Status Reports

Home  /   Data Sources  /   Rehabilitation Dataset Directory: Search  /   Dataset Profile Center for Large Data Research & Data Sharing in Rehabilitation

Rehabilitation Dataset Directory: Dataset Profile

Dataset: Longitudinal Aging Study in India (LASI)

Basic Information
Dataset Full Name Longitudinal Aging Study in India
Dataset Acronym LASI
Summary

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.

Key Terms
  • Aging, Longitudinal, Health, Disability
  • Social and family support, Social networks
  • Health risk behaviors, Chronic disease, Health trajectories, Life expectancy, Disease burden, Food security
  • Biomarkers, Physical function , Anthropometric measurements
  • Retirement, Income, Economic security, Expenditures 
  • Elderly welfare programs
Study Design Longitudinal
Data Type(s) Clinical
Survey
Sponsoring Agency/Entity

National Institutes of Health (NIH)

Health Conditions/Disability Measures
Health Condition(s)

Arthritis, Body mass index (BMI)/obesity, Cancer, Cardiovascular conditions, Diabetes, Heart attack, Pulmonary disorders, Stroke 

Disability Measures

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
Topics
  • Health and disability, Functional and cognitive limitations, Chronic risk factors
  • Health care utilization, Financing and insurance
  • Regional variations in health access and utilization
  • Social support, Social participation, Social welfare
  • Retirement, Income, Economic well-being, Assets and consumption
Sample
Sample Population

Non-institutionalized Indian adults, ages 45 years and older

Sample Size/Notes
  • Pilot study (2010): 1,683
  • Full implementation (2016-2017) plans to include 50,000 individuals
Unit of Observation

Individual and household

Continent(s) North America
Countries

India

Geographic Coverage

Pilot study: Four states in India:

  • Northern India: Punjab and Rajasthan
  • Southern India: Kerala and Karnataka

Full implementation will sample across India.

Geographic specificity

State (in pilot study)

Special Population(s)

Aging/Older people

Data Collection
Data Collection Mode
  • Computer assisted personal interviews (CAPI)
  • Self-completed questionnaires
  • Biomarkers collected at home visits
Years Collected
  • Pilot study: 2010
  • 2016-present (ongoing)
Data Collection Frequency

Full implementation scheduled to be every 2 years

Strengths and Limitations
Strengths
  • Full implementation will be representative sample of the Indian population.
  • Once multiple waves are available, longitudinal analyses on health risk factors will be possible.
  • Objective markers (biomarkers) of health are  included.
  • LASI has been harmonized with the HRS study (as well as SAGE, ELSA, KLoSA) allowing cross-national comparisons.
Limitations
  • Only 2010 pilot study data is available (as of February 2018)
  • Pilot study sample is relatively small and not representative of all regions 
  • Information on earlier life medical history is collected retrospectively.
Data Details
Primary Website

https://www.hsph.harvard.edu/pgda/major-projects/lasi-2/

https://lasi.hsph.harvard.edu/lasi-survey

Data Access

LASI pilot data access:

https://g2aging.org/?section=download&studyid=36&r=^q^section=study^a^studyid=36

Data Access Requirements

Data use agreement, No cost

Summary Tables/reports

Harmonized LASI Pilot Data Documentation:

https://www.rand.org/content/dam/rand/pubs/working_papers/WR1000/WR1018/RAND_WR1018.pdf


(Note may not include all variables available in stand alone dataset)

Data Components
  • Pilot household micro data
  • Pilot individual micro data
  • Pilot all data
  • Pilot harmonized data
Similar/Related Dataset(s)

Other longitudinal ageing studies:

Selected papers
Other Papers

LASI related publications list (Gateway to Global Aging Data):

https://g2aging.org/?section=papers (select Survey=LASI)

LASI related publications list (RAND Corporation):

https://www.rand.org/search.html?query=LASI&sortby=relevance

Technical

Data and Documentation:

https://g2aging.org/?section=download&studyid=36&r=^q^section=study^a^studyid=36

Pilot user guide 2010:

https://g2aging.org/startfile.php?f=LASI-Pilot_user_guide.pdf&urid=3697

Pilot codebook:

https://g2aging.org/startfile.php?f=LASI-Pilot_fat_file_codebook.pdf&urid=3697

Interactive codebook:

https://g2aging.org/?section=survey&surveyid=59&display=codebook

Harmonized LASI Pilot Data Documentation: Version A

https://www.rand.org/pubs/working_papers/WR1018.html

Biomarker data documentation:

https://www.rand.org/content/dam/rand/pubs/working_papers/WR1000/WR1043/RAND_WR1043.pdf


Ask Our Researchers

Have a question about disability data or datasets?
E-mail your question to our researchers at disabilitystatistics@cornell.edu


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).

Other CLDR supported resources and collaborative opportunities:

Acknowledgements: This tool was developed through the efforts of William Erickson and Arun Karpur, and web designers Jason Criss and Jeff Trondsen at Cornell University. Many thanks to graduate students Kyoung Jo Oh and Yeong Joon Yoon who developed much of the content used in this tool.

For questions or comments please contact disabilitystatistics@cornell.edu



© 2016 Cornell University. All rights reserved.