Evidence map›Paper›PMID 40549102›Full record

ReviewAging clinical and experimental research2025

Metabolic dysfunction over a life course key to healthy ageing inequality.

Katie Littlewood, Jasleen Gegic, Mike Hickman, Richard C J Henson, Jaime R Bishop, Tim Kershaw, Patrick Diamond, Greg Slabaugh, Emmanouil Tranos, Aphrodite Vasilaki and 5 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Aging clinical and experimental research, 2025. 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. Review
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

15 authors.

Katie LittlewoodWilliam Harvey Research Institute, Queen Mary University of London, London, EC1M 6BQ, UK.
Jasleen GegicWilliam Harvey Research Institute, Queen Mary University of London, London, EC1M 6BQ, UK.
Mike HickmanWilliam Harvey Research Institute, Queen Mary University of London, London, EC1M 6BQ, UK.
Richard C J HensonFleet Architects, London, E8 4RG, UK.
Jaime R BishopFleet Architects, London, E8 4RG, UK.
Tim KershawFleet Architects, London, E8 4RG, UK.
Patrick DiamondMile End Policy Institute, Queen Mary University of London, London, E1 4 NS, UK.
Greg SlabaughDigital Environment Research Institute, Queen Mary University of London, London, E1 1HH, UK.
Emmanouil TranosSchool of Geographical Sciences, University of Bristol, Bristol, BS8 1 TH, UK.
Aphrodite VasilakiInstitute of Life Course and Medical Sciences, University of Liverpool, Liverpool, L7 8 TX, UK.
Daniel TennantInstitute of Metabolism and Systems Research, University of Birmingham, Birmingham, B15 2 TT, UK.
Emilie CourtinLondon School of Economics and Political Science, London, WC2 A 2 AE, UK.
Li F Chan *William Harvey Research Institute, Queen Mary University of London, London, EC1M 6BQ, UK. l.chan@qmul.ac.uk.
Sian M Henson *William Harvey Research Institute, Queen Mary University of London, London, EC1M 6BQ, UK. s.henson@qmul.ac.uk.
CELLO Network

Funding

Biotechnology and Biological Sciences Research Council BB/W018276/1
6 · The paper itself

Abstract

The UK is experiencing a decline in healthy life expectancy, now at 62.4 years for men and 60.9 years for women. Socioeconomic deprivation plays a significant role in health disparities, affecting individuals across the life arc. Girls born in the most deprived areas may live 19 fewer years in good health compared to those in wealthier areas. Health inequalities are particularly severe for ethnic minorities, with Black and Asian individuals reporting poorer health at a younger age. Health inequalities correlate with socioeconomic status. In old age, 2.1 million older adults live in poverty, with Black and Asian communities again disproportionately affected. While ageing increases the risk of morbidities, poor health is not inevitable; however, disadvantaged populations face early-life risk factors, such as low birth weight, linked to future conditions like diabetes and cardiovascular disease. CELLO, an interdisciplinary network, focuses on cellular metabolism throughout life in disadvantaged populations, examining how both genetic and environmental factors shape metabolic dysfunction and contribute to social health inequalities. This review stems from discussions within the network, aiming to advance understanding of healthy ageing across the life course.

Indexed as

AgingHealth Status DisparitiesHealthy AgingMetabolic DiseasesAgedFemaleHumansMaleMiddle AgedRisk FactorsSocioeconomic FactorsUnited KingdomAgeingDisadvantaged populationsHealth inequalitiesMetabolism

Identifiers

PMID40549102
PMCPMC12185620

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.