IDEAS home Printed from https://ideas.repec.org/p/ran/wpaper/wr-1043.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: https://www.rand.org/content/dam/rand/pubs/working_papers/WR1000/WR1043/RAND_WR1043.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ran:wpaper:wr-1043. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Benson Wong (email available below). General contact details of provider: https://edirc.repec.org/data/lpranus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.