Mexican Health and Aging Study
(MHAS)
www.MHASweb.org
Rebeca Wong, PhD
Principal Investigator
University of Texas Medical Branch
1
Outline
Why study aging of Mexico?
How did we start, and how to collaborate?
Overview: Mexican Health and Aging Study (MHAS)
MHAS in the global study of aging
2
Significance of the Study of
Mexico Aging
• Informs the US Hispanic paradox
• Rapid aging, with chronic and infectious
diseases
3
Uniqueness of Aging in Mexico
• With low social and economic development
• Current elderly survived high levels of infectious diseases
• Chronic diseases are a growing problem yet infectious diseases are still prominent
• Mixed regime of diseases implies: compared with developed countries, healthy aging may be more difficult to achieve
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Prospective Longitudinal Study of
Aging in Mexico
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Collaborators
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Funded by the National Institutes of Health (NIA/NIH Grant # R01 AG018016)
MHAS Covers:
• Sociodemographic characteristics • Economic data
• Health – multiple dimensions • Work history and current
employment
• Family and social networks • Dwelling characteristics
• Migration experiences • Attitudes about health,
economic status
• Help given/received • Widowhood and last year of life
MHAS Comparable to HRS
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Communities with MHAS
Households
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Community with
households in the sample
Over-Sample in States with High
Migration to the United States
9 Over-sample 1.7:1 ; MHAS 2001
MHAS 2012
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MHAS Waves Timeline
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2001 2012 2003 2015
Planned
Sample: Born in 1951 or earlier New sample: Born 1952-1962:
n=5,896
15,186 Individuals
546 Deceased
2,742 Deceased (Accumulated=3,288)
Household
interviews
Wave 1 Wave 2 Wave 3 Wave 4
MHAS 2012 Actual Counts
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6,259
Selected
NEW
INDIVIDUALS
385
NEW SPOUSES
of follow-up
INDIVIDUALS
14,283
Eligible
INDIVIDUALS
88.1 %
Response Rate
DIRECT
INTERVIEWS
14,448
PROXY
INTERVIEWS
1,275
NEXT-OF-KIN
INTERVIEWS
2,742
18,465
Interviewed
INDIVIDUALS
FOLLOW-UP
SAMPLE
Migration of MHAS Respondents’
Adult Children, 2001 and 2012
79% 71%
83%
68%
21% 29%
17%
32%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Currently in US Ever in US Currently in US Ever in US
MHAS-1 (2001) MHAS-3 (2012)
Adult
Living
Children
1+
None
1+
None
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Transitions in ADL Limitations over Two
Years, Aged 60 or more in 2001
82%
59.7%
29.9%
6.60%
18.9%
17.4%
2.00%
8.8%
19.9%
4.40% 9.60%
27.8%
5.00% 3.00% 5.00%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
0 1-2 3+
ADL Limitations, 2001 Bathing, eating, going to bed, using the restroom and dressing
LTF
Dead
3+
1-2
0
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ADL
Limitations
2003
Diaz-Venegas C., et al. (2013)
Transitions in ADL Limitations over 11
Years, Aged 60 or more in 2001
15
42.8%
20.6% 9.4%
11.1%
14.2%
11.1%
3.4%
6.9%
6.4%
31.5% 49.4%
60.8%
11.3% 8.9% 12.3%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
0 1-2 3+
ADL Limitations, 2001 Bathing, eating, going to bed, using the restroom and dressing
LTF
Dead
3+
1-2
0
ADL
Limitations
2012
Diaz-Venegas C., et al. (2013)
Health Insurance Coverage
Increased between 2001 and 2012
16
34.1
32.5
13.7
11.7
3.2
2.5
2.3
33.5
31.3
16.9
10.6
3.7
1.8
2.3
0% 10% 20% 30% 40% 50%
Age 50 or more in 2012
Men Women
Other
Pemex, Defense,
Marine
Private medical
insurance
Seguro Popular
Social Insurance
(IMSS)
ISSSTE/ISSSTE
State
None
Increase in Health Insurance was
Higher in Rural Areas
17
71.5
19.9
2.6 6.0
39.1
46.4
1.9
12.6
0%
10%
20%
30%
40%
50%
60%
70%
80%
Rural
Age 50 or more in 2001
Urban = 100 000 inhabitants or more
Rural = Less than 100 000 inhabitants
With health
insurance in 2001
and 2012
Without health
insurance in 2001, with
health insurance in
2012 Urban
With health insurance in
2001, without health
insurance in 2012
Without health
insurance in
2001 and 2012
Dissemination of MHAS
• Data available at website:
In English: www.MHASweb.org
In Spanish: www.ENASEM.com
• Discussion Forum for data users
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MHAS in Global Aging
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ELSA 2002
MHAS 2001
HRS 1992
CHARLS 2011
IFLS 2007
JSTAR 2007
KLoSA 2006
LASI 2012
TILDA 2010
SHARE 2004
PREHCO 2002
ELSI 2014
Planned
CRELES 2005
Cross-Country Harmonization
Survey Meta Data:
Harmonization of different datasets: HRS and several studies in other countries
https://mmicdata.rand.org/megadata/
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