Evidence map›Paper›PMID 41448940›Full record

ArticleJournal of epidemiology and community health2026

Eligibility criteria for the UK Winter Fuel Payment: are we targeting the right people?

Kai Wan, Jonathon Taylor, Marcos Quijal-Zamorano, Joan Ballester, Shakoor Hajat

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Article in Journal of epidemiology and community health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Kai WanLondon School of Hygiene & Tropical Medicine, London, UK Kai.Wan@lshtm.ac.uk.ORCID http://orcid.org/0000-0002-1044-1374
Jonathon TaylorDepartment of Civil Engineering, Tampere University, Tampere, Pirkanmaa, Finland.
Marcos Quijal-ZamoranoISGlobal, Barcelona, Spain.
Joan BallesterISGlobal, Barcelona, Spain.
Shakoor HajatLondon School of Hygiene & Tropical Medicine, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCold weather remains a serious health threat in the UK and elsewhere, particularly for older adults. The Winter Fuel Payment has been a key government strategy to mitigate health risks linked to cold homes in the UK, but recent policy shifts have raised questions about whether income-based eligibility criteria effectively identify those most at risk.

methodsWe analysed cold-related mortality in adults aged ≥75 across 324 local authority districts in England (2007-2019) using distributed lag non-linear models in a spatial Bayesian framework. Multivariate meta-regression was used to evaluate modification of cold effects by deprivation, income-based pension credit uptake, home energy efficiency and fuel poverty.

resultsAreas in the highest quartile of fuel poverty had significantly greater cold-related mortality risk than those in the lowest quartile, with a 15.3% versus 13.1% increase in mortality risk at the first compared with the 50th percentile of wintertime temperature, ie, an absolute difference of 2.2% (p<0.001). This effect was stronger than the corresponding differences for energy efficiency (1.7%, p=0.04), income as indicated by pension credit uptake (0.6%, p=0.39) and deprivation-based measures, for which differences were minimal. Overall, an estimated 17% of cold-related deaths among people aged ≥75 were attributable to fuel poverty.

conclusionFuel poverty, an indicator designed to capture both low-income and housing energy efficiency, is a stronger predictor of cold-related mortality than income (as indicated by pension credit update) or deprivation-based indicators alone. Winter energy support schemes should consider fuel poverty metrics in their targeting to more effectively reduce health risks associated with cold homes and improve equity.

Indexed as

Cold TemperatureEligibility DeterminationHousingMortalityAgedAged, 80 and overEnglandFemaleHumansIncomeMalePovertySeasonsUnited KingdomENVIRONMENTAL HEALTHHealth inequalitiesHOUSINGPOVERTYPUBLIC HEALTH

Identifiers

PMID41448940
PMCPMC13217030

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