Important notice on the use of LLM and other AI tools : Large language models (LLMs) and
other artificial intelligence (AI) tools may not be used to manage, process, or analyze data distributed by the
Mexican Health and Aging Study (MHAS), including public-use files, imputed files, constructed variables, ancillary study data (e.g., Mex-Cog), Gateway Harmonized MHAS files, and any restricted or sensitive
data products. Providing MHAS microdata to an LLM or any other AI tools constitutes redistribution of the data and is therefore a violation of all existing MHAS data-use terms and agreements. For
more details, please consult the full policy here.
Harmonized Data
The Gateway Harmonized MHAS is produced in collaboration with the Gateway to Global Aging Data project. The Gateway
to Global Aging Data (www.g2aging.org) is a web-based resource for accessing
multidisciplinary panel data on aging, health, and retirement from the international family of Health and Retirement surveys.
The Gateway Harmonized MHAS file incorporates data from the core interview data, the master follow-up file, household roster data,
and next-of-kin data. Also available is the Gateway Harmonized MHAS End of Life focusing on the next-of-kin interview and a Gateway Harmonized
Mex-Cog file focusing on the MHAS Cognitive Ancillary Study. For more information about these data files please refer to the following links.