Evidence map›Paper›PMID 42548523›Full record

ArticleFrontiers in public health2026

Social frailty independently predicts 9-year mortality among community-dwelling older adults in Mexico: validation of a brief social frailty index.

Liliana Giraldo-Rodríguez, Lorena Parra-Rodríguez, Teresa Álvarez-Cisneros, Marcela Agudelo-Botero

Abstract readValidation Study
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Liliana Giraldo-RodríguezPolicy, Population, and Health Research Center, School of Medicine, National Autonomous University of Mexico, Mexico City, Mexico.
Lorena Parra-RodríguezResearch Department, Instituto Nacional de Geriatría, Ciudad de México, Mexico.
Teresa Álvarez-CisnerosResearch Department, Instituto Nacional de Geriatría, Ciudad de México, Mexico.
Marcela Agudelo-BoteroPolicy, Population, and Health Research Center, School of Medicine, National Autonomous University of Mexico, Mexico City, Mexico.

Funding

The Mexican Health and Aging Study - IIR01AG018016 · NIA · UNIVERSITY OF TEXAS MED BR GALVESTON · PI Rebeca Wong · 1999 to 2026
$22.6M
NIA NIH HHS R01 AG018016
6 · The paper itself

Abstract

Introduction: Social frailty, defined as deficits in social resources, roles, and engagement, is an emerging risk dimension. However, evidence on its measurement and prognostic value in Latin America is limited. Methods: Using nationally representative data from the Mexican Health and Aging Study (2012-2021), we adapted a five-item Social Frailty Index (SFI) and evaluated its psychometric properties and association with 9-year all-cause mortality in 5,400 community-dwelling adults aged ≥60 years. Results: At baseline, 38.9% were pre-frail (SFI = 1) and 25.2% were frail (SFI ≥ 2). Mortality increased progressively across categories. In fully adjusted Cox models, pre-frailty (HR = 1.21, 95%CI: 1.06-1.37) and frailty (HR = 1.56, 95%CI: 1.36-1.79) independently predicted higher mortality risk. Discussion: The SFI, adapted to available MHAS data, demonstrated prognostic relevance. This provides initial evidence supporting further research on social frailty assessment in the region, including cultural adaptation and external validation.

Indexed as

Frail ElderlyFrailtyIndependent LivingMortalityAgedAged, 80 and overFemaleHumansLongitudinal StudiesMaleMexicoMiddle AgedPsychometricsall-cause mortalityLatin Americalongitudinal studyolder adultspsychometricssocial determinants of healthsocial frailty

Identifiers

PMID42548523
PMCPMC13429442

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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.