Evidence map›Paper›PMID 26966253›Full record

ArticleResearch on aging2016

Educational Gradients and Pathways of Disability Onset Among Older Mexicans.

Joseph L Saenz, Rebeca Wong

Abstract read
In one paragraph

Article in Research on aging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

2 authors.

Joseph L SaenzDepartment of Preventive Medicine and Community Health, University of Texas Medical Branch, Galveston, TX, USA Sealy Center on Aging, University of Texas Medical Branch, Galveston, TX, USA jlsaenz@utmb.edu.
Rebeca WongDepartment of Preventive Medicine and Community Health, University of Texas Medical Branch, Galveston, TX, USA Sealy Center on Aging, University of Texas Medical Branch, Galveston, TX, USA.

Funding

UTMB OAIC Research Education Component (REC)P30AG024832 · NIA · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI JAMES S. GOODWIN, MD, MELISSA M. MORROW · 2005 to 2026
$26.7M
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 P30 AG024832NIA NIH HHS R01 AG018016NIA NIH HHS R01AG018016NIA NIH HHS T32 AG000270NIA NIH HHS T32AG00270
6 · The paper itself

Abstract

introductionEducational disparities research is less common in developing countries. We evaluate whether educational gradients of disability onset exist in Mexico across groups (birth cohort and sex) and whether the association is unexplained or indirect via health (health behaviors, chronic conditions, and self-rated health) or economic (income, wealth, and health insurance) pathways.

methodData come from the Mexican Health & Aging study. Activities of daily living are reported in 2001, 2003, and 2012 by respondents and spouses aged 50+ (N = 9,560). Groups are analyzed using logistic regression to test education-disability onset associations.

resultsSignificant education-ADL onset associations were observed across groups, and much of these associations were direct (unexplained by pathways). Indirect effects operated primarily through the health pathway. DISCUSSION: Those with less education were disadvantaged in terms of disability across birth cohorts and sex. Unexplained effects of education may suggest unobserved mediators or differential returns to resources by educational level.

Indexed as

AgingEducational StatusAgedCohort StudiesFemaleHumansMaleMexicoMiddle AgedPersons with Disabilitiesactivities of daily livingdisparityeducationMHAS

Identifiers

PMID26966253
PMCPMC4843500

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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.