Evidence map›Paper›PMID 38719300›Full record

ArticleBMJ open2024

Insomnia symptom prevalence in England: a comparison of cross-sectional self-reported data and primary care records in the UK Biobank.

Melanie A de Lange, Rebecca C Richmond, Sophie V Eastwood, Neil M Davies

Abstract readComparative Study
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

4 authors.

Melanie A de LangeMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK melanie.delange@bristol.ac.uk.ORCID 0000-0003-4541-1877
Rebecca C RichmondMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.ORCID 0000-0003-0574-5071
Sophie V EastwoodInstitute of Cardiovascular Science, University College London, London, UK.ORCID 0000-0002-1883-8771
Neil M DaviesMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.ORCID 0000-0002-2460-0508

Funding

Wellcome Trust
6 · The paper itself

Abstract

objectivesWe aimed to use a large dataset to compare self-reported and primary care measures of insomnia symptom prevalence in England and establish whether they identify participants with similar characteristics.

designCross-sectional study with linked electronic health records (EHRs).

settingPrimary care in England.

participants163 748 UK Biobank participants in England (aged 38-71 at baseline) with linked primary care EHRs. OUTCOME MEASURES: We compared the percentage of those self-reporting 'usually' having insomnia symptoms at UK Biobank baseline assessment (2006-2010) to those with a Read code for insomnia symptoms in their primary care records prior to baseline. We stratified prevalence in both groups by sociodemographic, lifestyle, sleep and health characteristics.

resultsWe found that 29% of the sample self-reported having insomnia symptoms, while only 6% had a Read code for insomnia symptoms in their primary care records. Only 10% of self-reported cases had an insomnia symptom Read code, while 49% of primary care cases self-reported having insomnia symptoms. In both primary care and self-reported data, prevalence of insomnia symptom cases was highest in females, older participants and those with the lowest household incomes. However, while snorers and risk takers were more likely to be a primary care case, they were less likely to self-report insomnia symptoms than non-snorers and non-risk takers.

conclusionsOnly a small proportion of individuals experiencing insomnia symptoms have an insomnia symptom Read code in their primary care record. However, primary care data do provide a clinically meaningful measure of insomnia prevalence. In addition, the sociodemographic characteristics of people attending primary care with insomnia were consistent with those with self-reported insomnia, thus primary care records are a valuable data source for studying risk factors for insomnia. Further studies should replicate our findings in other populations and examine ways to increase discussions about sleep health in primary care.

Indexed as

Electronic Health RecordsPrimary Health CareSelf ReportSleep Initiation and Maintenance DisordersAdultAgedCross-Sectional StudiesEnglandFemaleHumansMaleMiddle AgedPrevalenceUK BiobankElectronic Health RecordsPrimary Health CareSLEEP MEDICINE

Identifiers

PMID38719300
PMCPMC11086527

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LicenceCC BY
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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.