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Longitudinal Aging Study in India: Biomarker Data Documentation

Author

Listed:
  • David E. Bloom

    (Harvard T. H. Chan School of Public Health)

  • Perry Hu

    (Division of Geriatrics, UCLA School of Medicine)

  • P. Arokiasamy

    (International Institute for Population Studies)

  • Arun Risbud

    (National AIDS Research Institute, Pune (NARI))

  • T. V. Sekher

    (Department of Population Policies & Programs, International Institute for Population Sciences)

  • S.K. Mohanty

    (International Institute for Population Sciences)

  • Varsha Kale
  • Jennifer O’Brien
  • Jinkook Lee

    (Rand Corporation)

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.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • David E. Bloom & Perry Hu & P. Arokiasamy & Arun Risbud & T. V. Sekher & S.K. Mohanty & Varsha Kale & Jennifer O’Brien & Jinkook Lee, 2016. "Longitudinal Aging Study in India: Biomarker Data Documentation," PGDA Working Papers 11414, Program on the Global Demography of Aging.
    • Handle: RePEc:gdm:wpaper:11414
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    Cited by:

    1. Agarwal, Arunika & Lubet, Alyssa & Mitgang, Elizabeth & Mohanty, Sanjay & Bloom, David E., 2016. "Population Aging in India: Facts, Issues, and Options," IZA Discussion Papers 10162, Institute of Labor Economics (IZA).
    2. 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.
    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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