Evidence map›Paper›PMID 42059353›Full record

ArticleJournal of public health (Oxford, England)2026

Quantifying the case for prevention: disease burden and cost-effective interventions in UK.

Lesley Owen, Matthew Taylor

Abstract read
In one paragraph

Article in Journal of public health (Oxford, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Lesley OwenHealth Economics and Decision Modelling, Science, Evidence and Analytics Directorate, National Institute for Health and Care Excellence, 2 Redman Place, Stratford Cross, London, E20 1JQ, UK.
Matthew TaylorYork Health Economics Consortium, University of York, Level 2, Enterprise House, Innovation Way, York, North Yorkshire, YO10 5NQ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundModifiable risks-tobacco use, poor diet, alcohol consumption, physical inactivity and mental ill-health-drive substantial disease in UK. NICE evidence on preventive interventions targeting these risks and estimates of eligible populations and disease burden demonstrate the potential for prevention and reducing health inequalities.

methodsDeaths and DALYs from behavioural risks and mental health conditions were estimated using GBOD 2021 data. Prevalence by deprivation quintile came from national surveys. NICE guidelines were reviewed to identify cost effective preventive interventions.

resultsIn 2021, tobacco and dietary risks caused the highest mortality and disease burden: tobacco nearly 58 000 deaths and 1·4 million DALYs; diet 48 000 deaths and 1.05 million DALYs. Mental health had low mortality (5·7 deaths) but high DALYs (1·45 million), especially in younger people. Alcohol and inactivity had lower death counts and moderate DALY impacts. Most risks were more prevalent in deprived areas. NICE-recommended interventions such as smoking cessation, alcohol brief advice, obesity treatments, and psychological therapies, are relevant to millions, especially high-need groups.

conclusion(Re-)investing in prevention and equitable strategies could substantially reduce disease burden and address inequalities, with the greatest gains likely to arise from sustained and targeted investment in populations and areas that have been left behind.

Indexed as

Cost-Benefit AnalysisCost of IllnessAdultAgedAlcohol DrinkingCost-Effectiveness AnalysisFemaleHumansMaleMental DisordersMiddle AgedUnited Kingdomcommunicable diseasescost effectivenesspopulation-based and preventative services

Identifiers

PMID42059353
PMCPMC13223565

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.