Evidence map›Paper›PMID 42781046›Full record

ArticleBMJ medicine2026

UK Household Longitudinal Study: cohort profile.

Michaela Benzeval, Meena Kumari

Abstract read
In one paragraph

Article in BMJ medicine, 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

2 authors.

Michaela BenzevalInstitute for Social and Economic Research, University of Essex, Colchester, Essex CO4 3SQ, UK.ORCID https://orcid.org/0000-0002-0372-2098
Meena KumariInstitute for Social and Economic Research, University of Essex, Colchester, Essex CO4 3SQ, UK.ORCID https://orcid.org/0000-0001-9716-1035

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding societal change and the consequences for different population groups is fundamental to social science and population health research. The UK Household Longitudinal Study is an infrastructure resource, in which data have been collected annually since 2009 from a sample of about 30 000 households selected to be representative of the four UK nations. Data are collected from all household members of all ages, and covers a wide range of topics, including health, biomarker, genetic, and epigenetic data and is freely available to researchers. The study has oversampled the five main ethnic minority groups in the UK to enable a sufficient sample size for analysis, and periodically boosts samples to ensure sufficient sample size and representativeness. The study incorporates and builds on the British Household Panel Survey; thus, data for a subsample of households are available back to 1991. The UK Household Longitudinal Study also has a smaller innovation panel with the same design that provides a platform for methodological research and innovation. Detailed social science information combined with multi-omics data, health survey data, and linkages to health and socioeconomic administrative data, enables research on the interaction between health, social, and economic change relevant to policymakers. The UK Household Longitudinal Study is widely used across biological, health, and social sciences: the study findings have been used extensively to influence social policy developments and public health.

Indexed as

EpidemiologyGeneticsMental healthPublic healthSocioeconomic Factors

Identifiers

PMID42781046
PMCPMC13599898

What OpenQuestion holds

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Registered trials

None linked

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.