Evidence map›Paper›PMID 26172234›Full record

ArticleSalud publica de Mexico2015

A life course approach to mortality in Mexico.

Joseph L Saenz, Rebeca Wong

Abstract read
In one paragraph

Article in Salud publica de Mexico, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Kin to strain: longitudinal impacts of family size on mental health among aging South Africans.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
    Article
  2. Economic Disadvantage During Childhood, Obesity, and Diabetes Across Three Birth Cohorts of Older Mexicans.The journals of gerontology. Series B, Psychological sciences and social sciences · 2024
    Article
  3. Article
  4. Article
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

2 authors.

Joseph L SaenzDepartment of Preventive Medicine and Community Health, University of Texas Medical Branch, Galveston, Texas, Estados Unidos de América.
Rebeca WongSealy Center on Aging, University of Texas Medical Branch, Galveston, Texas, Estados Unidos de América.

Funding

The Mexican Health and Aging Study - IIR01AG018016 · NIA · UNIVERSITY OF TEXAS MED BR GALVESTON · PI Rebeca Wong · 1999 to 2026
$22.6M
HEALTH OF OLDER MINORITIEST32AG000270 · NIA · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI Brian Gregory Downer, NEIL MEHTA · 1999 to 2026
$5.2M
NIA NIH HHS R01 AG018016NIA NIH HHS T32 AG000270NIA NIH HHS T32AG00270
6 · The paper itself

Abstract

objectiveResearch on early life socioeconomic status (SES), education and mortality is less established in developing countries. This analysis aims to determine how SES and education are patterned across the life course and associated with adult mortality in Mexico. MATERIALS AND

methodsData comes from 2001-2012 Mexican Health & Aging Study (Mexican adults age 50+, n= 11,222). Cox proportional hazard models predict mortality using baseline covariates.

resultsIn unadjusted analyses, similar mortality was seen across levels of early life SES. Lower early life SES was associated with better survival after accounting for education in the younger cohort. Lower education was only associated with mortality in the younger cohort.

conclusionsEarly life SES was associated with education but the relationship between education and mortality differed across cohorts in Mexico. Selective survival and differential returns to education may explain differences.

Indexed as

Life History TraitsMortalitySocial ClassAgedAged, 80 and overBiomarkersEducational StatusFemaleFollow-Up StudiesHealth SurveysHumansMaleMexicoMiddle AgedProportional Hazards ModelsProspective StudiesBiomarkers

Identifiers

PMID26172234
PMCPMC4739355

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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.