Evidence map›Paper›PMID 41555697›Full record

ArticleAmerican journal of epidemiology2026

The protective effect of housing affordability on childhood asthma risk: a longitudinal fixed-effects analysis.

Yuxi Li, Ankur Singh, Rebecca Bentley

Abstract read
In one paragraph

Article in American journal of epidemiology, 2026. 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

3 authors.

Yuxi LiCentre for Health Policy, School of Population and Global Health, University of Melbourne, Melbourne, Australia.ORCID 0000-0002-8564-2381
Ankur SinghUniversity of Sydney School of Dentistry, University of Sydney, Sydney, Australia.ORCID 0000-0003-1336-6493
Rebecca BentleyCentre for Health Policy, School of Population and Global Health, University of Melbourne, Melbourne, Australia.ORCID 0000-0003-3334-7353

Funding

the Melbourne Research Scholarship awarded by the University of Melbourne
6 · The paper itself

Abstract

Childhood asthma is influenced by early-life social conditions, yet few studies have evaluated housing affordability as a modifiable structural exposure. We used data from six biennial waves (2006-2018) of the Longitudinal Study of Australian Children to assess whether changes in housing affordability and rental assistance were associated with incident asthma in childhood. Fixed-effects logistic regression models were used to estimate within-child associations between time-varying housing exposure and asthma outcomes. The main analytic sample included 3773 children asthma-free at baseline; a subsample of 522 children in low-income renting households was used to evaluate rental assistance. Transitions into affordable housing were associated with a 31% reduction in asthma risk (OR, 0.69; 95% CI, 0.52-0.90). Among low-income private renters, new receipt of assistance was associated with 65% lower odds of asthma onset (OR, 0.35; 95% CI, 0.14-0.85). No associations were observed for asthma severity. Sensitivity analyses using lagged exposures, alternative definitions of affordability, and unadjusted income models yielded consistent findings. These findings support housing affordability as a potential policy lever for asthma prevention and demonstrate the utility of within-person designs for strengthening causal inference in observational evaluation of structural interventions.

Indexed as

AsthmaHousingAustraliaChildChild, PreschoolFemaleHumansLogistic ModelsLongitudinal StudiesMalePovertyasthmaAustraliahousing affordabilitylongitudinalrent assistance

Identifiers

PMID41555697
PMCPMC13231850

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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.