Longitudinal Aging Study in India (LASI)


The Longitudinal Aging Study in India (LASI) is designed to be a nationally representative longitudinal survey of the aging population in India. It is executed through partnership of Harvard University, the International Institute of Population Sciences (Mumbai, India), and the RAND Corporation. The National AIDS Research Institute (NARI) in Pune, India, and the University of California, Los Angeles (UCLA) also collaborate on the biomarker component of the study. LASI collects rich data on demographics, economic activity, mental and physical health, and social networks to inform policy and research communities.

Data Collection
The pilot wave of the LASI survey was fielded in four states in India in the fall of 2010 among 950 households and 1,683 individuals at least 45 years of age and their spouses (regardless of age). Punjab, Rajasthan, Karnataka, and Kerala were chosen to participate in the pilot to capture the regional and socio-cultural diversity in India. The first full wave of data collection for the LASI baseline wave will take place in 2013, covering the largest 15 states in India, representing more than 90% of the population with a sample size of 18,000 persons. Subsequent waves will take place every two years. All interviews are conducted in the household, face-to-face, between the respondent and a survey team.

LASI incorporates a biomarker module in the individual survey for all respondents 45 years or older. The pilot wave of the survey included biomarkers, as will each subsequent wave. Collected biomarkers are:

Additionally, LASI collects a dried blood specimen (DBS) from each consenting respondent. From the pilot DBS sample, the following three assays were completed: C-reactive proteins (CRP), Epstein-Barr virus (EBV), and hemoglobin levels (Hb). For the baseline wave, LASI plans to use Ac1Now and Cardiocheck to measure blood sugar and lipids. The DBS collected during the planned full-scale LASI project will also be analyzed by a research team at National AIDS Research Institute (NARI), Pune, India.

Use of IT-based Technologies: LASI will use latest IT based technologies including Geographic Information System (GIS), for thematic mapping and community analysis of information at community level. Barcode technology will be used for correct matching and anonymizing data.



J. Lee, P. K. Feeney, J. Liu, P. Arokiasamy, S. Parasuraman, P. Hu, & A. Chandra (2011). “Markers and Drivers:
  Cardiovascular Health of Older Indians,” presented at the National Academy of Science, Delhi, India.
J. Lee, R. Shih, K. Langa, & K. Feeney (2011). “Cognitive Health of Older Indians: Individual and Geographic
  Determinants of Female Disadvantage,” presented at the RIETI-RAND Symposium, Tokyo, Japan.

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