|Dataset Full Name||Mexican Health and Aging Study|
The Mexican Health and Aging Study (MHAS) is an ongoing, nationally representative longitudinal study of adults in Mexico aged 50 years or older and their spouse and/or partner. The MHAS was designed to prospectively evaluate the impact of disease on the health, function and mortality of adults over the age of 50 in both urban and rural areas of Mexico. The objective of the study is to examine the aging process and its disease and disability burden in a large representative panel of older Mexicans, using a wide socioeconomic perspective. The study protocols and survey instruments are highly comparable to the Health and Retirement Study (HRS).
In 2012, a new sample of participants was added to the ongoing cohort interviewed in 2001 and 2003 who remained in the study for the third follow-up interview. A subsample of 2,086 participants provided data on biomarkers: HbA1c, total and high-density cholesterol, gait speed, and vitamin D.
The fourth wave of data collection began in 2015 following up with the approximately 18,000 study participants. A sub-sample (n=3,000) of this wave will receive a visit in 2016 to perform an in-depth cognitive assessment.
|Key Terms||International, Aging, Health, Disability, Cognition, Migration, Mexico|
National Institutes of Health/ National Institute on Aging, Instituto Nacional de Estadı´stica, Geografia e Informa´tica (INEGI) in Mexico.
|Health Conditions/Disability Measures|
Arthritis, Cancer, Depression, Diabetes, Heart attack, Pulmonary disorders, Stroke
Ambulatory disability, Cognitive disability, Functional limitations (ADLs and/or IADLs)
|Measures/Outcomes of Interest|
|Topics||Health : self-report of global health, chronic conditions, symptom reports, functionality, depression, cognition, Socioeconomic conditions: (current and in childhood), work history, health insurance, health expenditures. Family background (family structure, transfer behaviors, care arrangements, health and migration histories of respondents, parents and children), children (regardless of place of residence), household residents, income, assets, pension history, current housing, quality of the built environment. Biomarker Data: Blood pressure, waist circumference, gait speed, Handgrip strength, Hemoglobin, vitamin D, and cholesterol.||Sample|
|Sample Population||Individuals 50 years of age and older selected from residents of both rural and urban areas distributed in all 32 states in the Mexico. Oversample of households in the six states with a high–U.S.-migration state (accounting for 40% of all migration to the US) Individual and Households level|
|Unit of Observation||Individual|
Central America & Caribbean
|Geographic Coverage||All 32 states in Mexico.|
|Data Collection Mode||In person interviews (proxy interviews performed in cases of poor health or temporary absence). All interviews were conducted by trained full-time interviewers of the Instituto Nacional de Estadistica y Geografia (INEGI) of Mexico.|
|Years Collected||2001, 2003, 2012, 2015|
|Data Collection Frequency||Timing between waves varies (2-9 years)||Strengths and Limitations|
The MHAS offers a unique opportunity to examine ageing in developing countries. The study provides three waves of data focusing on ageing in Mexico that is highly comparable to the US Health and Retirement Study (HRS).
Cross-national comparisons of ageing can be possible to other developing countries. Large sample size and 4 waves of data collection. The long panel period from baseline to 2012 allows for full estimation of the transitions in physical and mental health, functionality, labor force and migration over time. The cumulative number of deaths (n=3,200) by 2012, provides sufficient statistical power to study the association between exposure, migration, physical health, cognition, and mortality. Health sector reforms.
Implementation of universal health care Seguro Popular (a health insurance system for the uninsured in 2003) between the waves permits the study to evaluate the impact of the new health policy. The biomarkers data is available for doing clinical research. The study has completed approximately a cumulative total of 4,500 next-of-kin interviews across the four waves. This implies that the study of the cohort mortality and its determinants has become increasingly powerful.
|Limitations||Data is not linked to health system data, so health service utilization research is not possible.||Data Details|
|Data Access Requirements||Data Use agreement, No cost|
Codebooks with frequencies:
Rebeca Wong, Alejandra Michaels-Obregon, and Alberto Palloni. Cohort Profile: The Mexican Health and Aging Study (MHAS), 2015 Int. J. Epidemiol. first published online January 27, 2015
|Data Components||Individual data Available Data - Next-of-Kin Interview- Household Level Available Data - Direct and Proxy Interviews- Household Level Biomarker Data|
|Similar/Related Dataset(s)||Selected papers|
A comparison of the health of older Hispanics in the United States and Mexico: methodological challenges. Angel RJ1, Angel JL, Hill TD. J Aging Health. 2008 Feb;20(1):3-31.
Wong R, Obregon AM, and Palloni A. Cohort Profile: The Mexican Health and Aging Study (MHAS). Int J. Epidemiology, 2015 Jan 27.
Díaz-Venegas C, Wong R. Trajectories of limitations in activities of daily living among older adults in Mexico, 2001-2012. Disability Health J. 2016 Feb.
Kumar A, Wong R, Ottenbacher K, and Al Snih S. Prediabetes, undiagnosed diabetes, and diabetes among Mexican adults: findings from the Mexican Health and Aging Study. Annals of Epidemiology, 26(3), 2016.
Mexican Health & Aging Study Documentation:
Have a question about disability data or datasets?
E-mail your question to our researchers at firstname.lastname@example.org
The Rehabilitation Research Cross-dataset Variable Catalog has been developed through the Center for Large Data Research & Data Sharing in Rehabilitation (CLDR). The Center for Large Data Research and Data Sharing in Rehabilitation involves a consortium of investigators from the University of Texas Medical Branch, Cornell University's Yang Tan Institute (YTI), and the University of Michigan. The CLDR is funded by NIH - National Institute of Child Health and Human Development, through the National Center for Medical Rehabilitation Research, the National Institute for Neurological Disorders and Stroke, and the National Institute of Biomedical Imaging and Bioengineering. (P2CHD065702).
Other CLDR supported resources and collaborative opportunities:
Acknowledgements: This tool was developed through the efforts of William Erickson and Arun Karpur, and web designers Jason Criss and Jeff Trondsen at Cornell University. Many thanks to graduate students Kyoung Jo Oh and Yeong Joon Yoon who developed much of the content used in this tool.
For questions or comments please contact email@example.com