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.
Listings of available MHAS data products.
Prior to accessing MHAS public data, we request that the user register (free of charge) and agree to the following terms:
- User will not attempt to identify subjects/study participants.
- User will not distribute his/her MHAS username and password.
- User will not transfer MHAS public release data to a third party(-ies), with the
exception of staff or students for whom said user is directly responsible.
- User agrees to notify the MHAS team of any research product that uses the data.
Please use this form.
- User must properly
credit MHAS for the use of any data and the link to the public data must be included as follows:
In Text
The MHAS (Mexican Health and Aging Study) is partly sponsored by the National Institutes
of Health/National Institute on Aging (grant number NIH R01AG018016) in the United States and the Instituto Nacional de
Estadística y Geografía (INEGI) in Mexico. Data files and documentation are public use and available at www.MHASweb.org.
In References
MHAS Mexican Health and Aging Study,
([insert year]). Data Files and Documentation (public use): Mexican Health and Aging Study, ([insert Product Name]).
Retrieved from www.MHASweb.org on [insert date].