Evidence map›Paper›PMID 40313196›Full record

ArticleAddiction (Abingdon, England)2025

How much does the absence of the 'hidden population' from United Kingdom household surveys underestimate smoking prevalence?

Emma Beard, Lion Shahab, Jamie Brown, Sharon Cox

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Smoking, health and social justice.Clinical medicine (London, England) · 2026
    Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
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.

Emma BeardResearch Department of Behavioural Science and Health, University College London, London, UK.ORCID https://orcid.org/0000-0001-8586-1261
Lion ShahabResearch Department of Behavioural Science and Health, University College London, London, UK.ORCID https://orcid.org/0000-0003-4033-442X
Jamie BrownResearch Department of Behavioural Science and Health, University College London, London, UK.ORCID https://orcid.org/0000-0002-2797-5428
Sharon CoxResearch Department of Behavioural Science and Health, University College London, London, UK.ORCID https://orcid.org/0000-0001-8494-5105

Funding

Cancer Research UK PRCRPG-Nov21/100002
6 · The paper itself

Abstract

BACKGROUND AND

aimSampling frames used by population surveys may result in an underestimation of smoking prevalence as those not residing in households, also known as the 'hidden population', are not sampled. This includes people living in care and residential homes, populations experiencing homelessness, as well as those who have an "absent or "temporary" household status (e.g. bed and breakfasts, unsupported temporary accommodation, and those in prison). This study estimated the impact of including these populations on smoking prevalence in the UK.

methodsData from UK government reports and published studies were used to derive estimates of the size of the hidden populations and rates of smoking within these populations. The impact of including the 'hidden population' on overall smoking prevalence in the UK was estimated, along with a correction factor to account for their exclusion.

resultsThe hidden population over the age of 18 was estimated to be around 1.9 million with a smoking prevalence of between 58% and 66%. Accounting for this hidden population in smoking prevalence surveys may inflate estimates by a correction factor of 1.12 to 1.14. This means smoking prevalence in 2022 would increase from a reported 12.9% to an adjusted range of 14.5-14.8%.

conclusionThe absence of the 'hidden population' from smoking prevalence surveys leads to underestimation of smoking rates in the UK. Based on the estimated correction factor, and assuming smoking continues to decline at current rates, achieving the UK government's target of <5% by 2030 would be substantially delayed.

Indexed as

SmokingAdolescentAdultAgedFemaleHealth SurveysHumansIll-Housed PersonsMaleMiddle AgedPrevalenceUnited KingdomYoung Adulthard‐to‐reach populationshidden populationshousehold surveyspopulation surveyssamplingsmoking

Identifiers

PMID40313196
PMCPMC12215282

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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.