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Longitudinal Aging Study In India Biomarker Data Documentation

Author

Listed:
  • David Bloom
  • Perry Hu
  • P. Arokiasamy
  • Arun Risbud
  • T. V. Sekher
  • S. K. Mohanty
  • Varsha Kale
  • Jennifer O'Brien
  • Sandy Chien
  • Jinkook Lee

Abstract

The Longitudinal Aging Study in India (LASI) is designed to be a nationally representative study of the physical, financial, and social well-being of India's 45+ population. The instrument is designed to be comparable to the Health and Retirement Study (HRS), which is a model for several studies across the world. This harmonization in instruments allows for cross-national comparative studies. In addition to a harmonized set of core questions, the instrument also reflects circumstances specific to Indian culture and institutions. The LASI instrument has three components: (1) the household survey; (2) the individual survey; and (3) the biomarker collection. Direct assessment of biomarkers, which can yield objective health measures, is particularly important in India. This report describes the following: (1) Data collection protocol, including sample sizes and response rate; (2) Laboratory protocol for the DBS assays (with the description of our quality control protocol) and the results of validation study; and (3) The distributional characteristics of biomarker data, the list of biomarker variables available in public data file, and the application procedure to obtain restricted biomarker data file.

Suggested Citation

  • David Bloom & Perry Hu & P. Arokiasamy & Arun Risbud & T. V. Sekher & S. K. Mohanty & Varsha Kale & Jennifer O'Brien & Sandy Chien & Jinkook Lee, 2014. "Longitudinal Aging Study In India Biomarker Data Documentation," Working Papers WR-1043, RAND Corporation.
    • Handle: RePEc:ran:wpaper:wr-1043
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    Cited by:

    1. McGovern, Mark E., 2014. "Comparing the relationship between stature and later life health in six low and middle income countries," The Journal of the Economics of Ageing, Elsevier, vol. 4(C), pages 128-148.
    2. Arunika Agarwal & Alyssa Lubet & Elizabeth Mitgang & S.K. Mohanty & David E. Bloom, 2016. "Population Aging in India: Facts, Issues, and Options," PGDA Working Papers 13216, Program on the Global Demography of Aging.
    3. Ilke Onur & Malathi Velamuri, 2018. "The gap between self-reported and objective measures of disease status in India," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-18, August.

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