Evidence map›Paper›PMID 42403578›Full record

ArticleBMJ public health2026

Child health and social care outcomes in large households: a population-based linked-data study in Northwest London.

Sandeepa Arora, Nicholas Longford, Hope C Steven, Dougal Hargreaves

Abstract read
In one paragraph

Article in BMJ public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

4 authors.

Sandeepa AroraMohn Centre for Children's Health and Wellbeing, School of Public Health, Imperial College London, London, UK.ORCID https://orcid.org/0000-0003-1069-1442
Nicholas LongfordSNTL Statistics Research and Consulting, London, UK.
Hope C StevenMohn Centre for Children's Health and Wellbeing, School of Public Health, Imperial College London, London, UK.
Dougal HargreavesMohn Centre for Children's Health and Wellbeing, School of Public Health, Imperial College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Children in larger households in the UK are at increased risk of poverty due to policies such as the two-child benefit limit, but evidence on their health and social care outcomes is limited. We used linked administrative data to examine whether outcomes differ between children in smaller (1-2 children) and larger (≥3 children) households in Northwest London (NWL). Methods: We conducted a retrospective, population-based study using the Discover-NWL database (2005-2024). Outcomes included dental extraction (at <12 years of age), antidepressant prescription, emergency hospital admission (respiratory and any cause), emergency department (ED) visit and Child in Need (CiN) status. Analyses were descriptive and stratified by Index of Multiple Deprivation quintiles; multilevel logistic regression adjusted for age, sex, ethnicity, deprivation and within-household clustering. Results: Data were available on 477 602 children aged 0-18 years. In unadjusted descriptive analyses, children in larger households had higher population-level rates of dental extraction, respiratory admissions and CiN status, and lower rates of ED visits and antidepressant prescribing.In adjusted multilevel models, larger household size was associated with higher odds of dental extraction (OR 1.07 per additional child, 95% CI 1.05 to 1.10) and CiN status (OR 2.90, 95% CI 2.77 to 3.04), and lower odds of antidepressant prescribing (OR 0.86, 95% CI 0.82 to 0.90) and ED visits (OR 0.94, 95% CI 0.93 to 0.95). Conclusion: Children in larger households experience different patterns of health and social care contact compared with those in smaller households. These population-level findings, supported by adjusted analyses, provide new evidence on household size as a marker of child health and social care inequalities and may inform future research and policy.

Indexed as

Public HealthSociodemographic Factorsstatistics and numerical data

Identifiers

PMID42403578
PMCPMC13331143

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