Evidence map›Paper›PMID 42732009›Full record

ReviewEuropean journal of clinical nutrition2026

Body composition, geography and ethnicity: understanding the associations with health.

Jonathan Ck Wells

Abstract readReview
PubMed Publisher
In one paragraph

Review in European journal of clinical nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Jonathan Ck WellsChildhood Nutrition Research Centre, Population Policy and Practice Department, UCL Great Ormond Street Institute of Child Health, London, United Kingdom. Jonathan.Wells@ucl.ac.uk.ORCID http://orcid.org/0000-0003-0411-8025

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human body composition varies substantially across populations, for a range of different reasons that remain poorly understood. Similar to body size and limb proportions, both fat-free and fat mass are geographically patterned, which may relate both to ancestry but also to persisting ecological stresses, whose effects may be transmitted through the life-course and across generations. The role of genetics in such variability remains uncertain, moreover relevant ecological stresses include not only physical (e.g. temperature) and biological (e.g. diet, subsistence, pathogen burden) components, but also societal factors including colonisation, conflict, migration and economic inequality. Body composition variability has major implications for health inequalities, and improving our understanding of the different underlying mechanisms may help us understand how to design public health interventions, and optimise the prevention and management of disease. However, the terminology used to address population variability in body composition needs to be reconsidered. Terms such as race/ethnicity, ancestry and geography are widely used to frame investigations and interpret findings, but the variable most often collected in studies is ethnicity, selected by research participants on the basis of their identity. Race has no biological validity, but may be a marker of exposure to racism and discrimination. Improved understanding of the multiple components of biology that relate to ethnicity may help understand the sources of population variability in body composition, and hence improve efforts to reduce health inequalities.

Identifiers

PMID42732009

What OpenQuestion holds

Textmetadata
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.