Evidence map›Paper›PMID 38599801›Full record

ArticleBMJ paediatrics open2024

Is obesity more likely among children sharing a household with an older child with obesity? Cross-sectional study of linked National Child Measurement Programme data and electronic health records.

Nicola Firman, Marta Wilk, Milena Marszalek, Lucy Griffiths, Gill Harper, Carol Dezateux

Open access · diamondAbstract read
In one paragraph

Article in BMJ paediatrics open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 23% of its field
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

4 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
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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

6 authors at 2 institutions in 2 countries.

Nicola FirmanWolfson Institute of Population Health, Queen Mary University of London, London, UK nicola.firman@qmul.ac.uk.ORCID http://orcid.org/0000-0001-5213-5044
Marta WilkWolfson Institute of Population Health, Queen Mary University of London, London, UK.
Milena MarszalekWolfson Institute of Population Health, Queen Mary University of London, London, UK.
Lucy GriffithsPopulation Data Science, Swansea University Medical School, Swansea, UK.ORCID http://orcid.org/0000-0001-9230-624X
Gill HarperWolfson Institute of Population Health, Queen Mary University of London, London, UK.
Carol DezateuxWolfson Institute of Population Health, Queen Mary University of London, London, UK.
Queen Mary University of London · GBSwansea University · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

BACKGROUND/

objectivesWe identified household members from electronic health records linked to National Child Measurement Programme (NCMP) data to estimate the likelihood of obesity among children living with an older child with obesity.

methodsWe included 126 829 NCMP participants in four London boroughs and assigned households from encrypted Unique Property Reference Numbers for 115 466 (91.0%). We categorised the ethnic-adjusted body mass index of the youngest and oldest household children (underweight/healthy weight <91st, ≥91st overweight <98th, obesity ≥98th centile) and estimated adjusted ORs and 95% CIs of obesity in the youngest child by the oldest child's weight status, adjusting for number of household children (2, 3 or ≥4), youngest child's sex, ethnicity and school year of NCMP participation.

resultsWe identified 19 702 households shared by two or more NCMP participants (% male; median age, range (years)-youngest children: 51.2%; 5.2, 4.1-11.8; oldest children: 50.6%; 10.6, 4.1-11.8). One-third of youngest children with obesity shared a household with another child with obesity (33.2%; 95% CI: 31.2, 35.2), compared with 9.2% (8.8, 9.7) of youngest children with a healthy weight. Youngest children living with an older child considered overweight (OR: 2.33; 95% CI: 2.06, 2.64) or obese (4.59; 4.10, 5.14) were more likely to be living with obesity.

conclusionsIdentifying children sharing households by linking primary care and school records provides novel insights into the shared weight status of children sharing a household. Qualitative research is needed to understand how food practices vary by household characteristics to increase understanding of how the home environment influences childhood obesity.

Indexed as

OverweightPediatric ObesityAdolescentBody Mass IndexChildCross-Sectional StudiesElectronic Health RecordsFemaleHumansMaleepidemiologyobesity

Identifiers

PMID38599801
PMCPMC11015308
OpenAlexW4394694821

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.