Evidence map›Paper›PMID 40838876›Full record

ArticleThe Gerontologist2025

A dynamic microsimulation of health outcomes in Mexico's aging population.

Hanke Heun-Johnson, Tadeja Gracner, Bryan Tysinger

Abstract read
In one paragraph

Article in The Gerontologist, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Hanke Heun-JohnsonLeonard D. Schaeffer Center for Health Policy & Economics, University of Southern California, Los Angeles, California, United States.ORCID 0000-0002-4101-2492
Tadeja GracnerCenter for Economic and Social Research, University of Southern California, Los Angeles, California, United States.
Bryan TysingerLeonard D. Schaeffer Center for Health Policy & Economics, University of Southern California, Los Angeles, California, United States.

Funding

Integrting Information About Aging SurveysR01AG030153 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Sara Adar, Alden L. Gross · 2007 to 2026
$41.7M
The Mexican Health and Aging Study - IIR01AG018016 · NIA · UNIVERSITY OF TEXAS MED BR GALVESTON · PI Rebeca Wong · 1999 to 2026
$22.6M
EXPANDING MHAS RESEARCH INFRASTRUCTURE WITH HISTORICAL CLIMATE AND LIFETIME WORKPLACE ENVIRONMENTAL EXPOSURES INFLUENCING INEQUITIES IN AD/ADRDP30AG066589 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DANA P GOLDMAN, JULIE M ZISSIMOPOULOS · 2020 to 2026
$6.1M
Mega Meta Data Set of the Health and Retirement Surveys Around the WorldRC2AG036619 · NIA · RAND CORPORATION · PI KAPTEYN, ARIE · 2009 to 2010
$2.0M
Archiving & Creating User Friendly Data: the Longitudinal Aging Survey in IndiaR03AG043052 · NIA · RAND CORPORATION · PI LEE, JINKOOK · 2012 to 2012
$95k
NIA NIH HHS 5P30AG066589NIA NIH HHS P30 AG066589NIA NIH HHS R01 AG018016NIA NIH HHS R01 AG030153NIA NIH HHS R03 AG043052NIA NIH HHS RC2 AG036619
6 · The paper itself

Abstract

BACKGROUND AND

objectivesMexico faces health policy challenges because of rising prevalence of health conditions, a rapidly aging population, and disparities in health care access. Nationally representative longitudinal surveys released in recent years allow for projections of health care needs that can support policymakers to mitigate these challenges. This study validates the Mexico Future Older Adult Model (MFOAM), a dynamic microsimulation model for Mexico's aging population. Using 2012-2018 data from individuals aged 51+ years in the Mexican Health and Aging Study (MHAS), the simulation builds on the Future Elderly Model from the United States. RESEARCH DESIGN AND

methodsThe model predicts lifetime health outcomes and risk factors, functional limitations, and mortality. Internal validation compares simulation outcomes to survey data at the individual and cohort level. External validation compares outcomes with 2012-2021 data from the National Health and Nutrition Survey (ENSANUT).

resultsInternal and external validation showed robust performance. Population projections indicated almost a doubling of the 51+ population in Mexico between 2018 and 2051, with increasing prevalence of hypertension (52.3% to 66.1%), diabetes (24.6% to 31.9%), respiratory disease (10.2% to 15.1%), myocardial infarction (5.5% to 9.7%), stroke (4.3% to 8.0%), cancer (3.6% to 7.0%), and functional limitations (6.6% to 10.2%), reflecting national health trends. DISCUSSION AND IMPLICATIONS: The MFOAM projects population outcomes through 2051, or specific age cohorts until all members reach the end of their lives. Harmonized variables from the Gateway to Global Aging allow for cross-country comparisons and expansion with other health and economic variables. These forecasts help support policy planning and health care strategies in Mexico.

Indexed as

AgingAgedAged, 80 and overComputer SimulationFemaleForecastingHealth StatusHumansLongitudinal StudiesMaleMexicoMiddle AgedPrevalenceRisk FactorsCardiometabolic conditionsDisease projectionsFunctional limitationsHealth policyPopulation health

Identifiers

PMID40838876
PMCPMC12453544

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.