Evidence map›Paper›PMID 41114780›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2025

Neighborhood Socioeconomic Disadvantage and Frailty among Mid-to-Older-Aged Adults in Australia: Cross-Sectional and Longitudinal Associations.

Takumi Abe, Takemi Sugiyama, Alison Carver, Manoj Chandrabose, Gavin Turrell

Abstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Takumi AbeSchool of Commerce, Meiji University, Tokyo, Japan. tabe@meiji.ac.jp.ORCID http://orcid.org/0000-0002-7925-3136
Takemi SugiyamaSchool of Social Sciences, Media, Film and Education, Swinburne University of Technology, Melbourne, VIC, Australia.
Alison CarverNational Centre for Healthy Ageing, Frankston, VIC, Australia.
Manoj ChandraboseSchool of Health Science, Swinburne University of Technology, Melbourne, VIC, Australia.
Gavin TurrellCentre for Urban Research, RMIT, Melbourne, VIC, Australia.

Funding

National Health and Medical Research Council #1047453National Health and Medical Research Council #339718National Health and Medical Research Council #497236
6 · The paper itself

Abstract

This study examined the cross-sectional and longitudinal associations between neighborhood socioeconomic disadvantage and frailty in middle-to-older-aged adults. Data were obtained from a cohort study conducted in Brisbane, Australia, with 3966 participants (mean age 58.2 years; female 57.6%) included in cross-sectional analysis and 2846 in longitudinal analysis (3-year follow-up). A frailty index (FI), a composite score consisting of 32 items, was used continuously (range 0-1) and categorized into frail (FI > 0.35) and non-frail. Neighborhood disadvantage was measured using the Index of Relative Socioeconomic Disadvantage, an area-level composite index, and was categorized into tertiles. Two-level mixed-effects linear and logistic regression models were fitted, accounting for area-level clustering through random intercepts for areas and adjusting for demographic variables and individual-level socioeconomic status. In the cross-sectional analysis, 11% of participants were frail. Compared to residents of low disadvantage neighborhoods, those in middle and high disadvantage neighborhoods had higher levels of frailty and greater odds of being frail (OR = 1.54 [95% CI 1.13, 2.09] and OR = 2.86 [2.11, 3.88], respectively). In the longitudinal analysis, residing in middle and high disadvantage neighborhoods was significantly associated with increases in FI scores, relative to low disadvantage neighborhoods. Incident frailty was observed in 5% of participants at the follow-up. Residing in high disadvantage neighborhoods showed significantly higher odds of incident frailty (OR = 1.75 [1.08, 2.86]). Mid-to-older-aged residents of disadvantaged neighborhoods are more likely to be frail and to become frail over 3 years, compared to those in advantaged neighborhoods. Community-level interventions to reduce frailty should target disadvantage neighborhoods.

Indexed as

Frail ElderlyFrailtyNeighborhood CharacteristicsResidence CharacteristicsAgedAustraliaCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedSocioeconomic Disparities in HealthSocioeconomic FactorsDeprivationInequalitiesNeighborhood environmentPhysical function

Identifiers

PMID41114780
PMCPMC12669419

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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.