Evidence map›Paper›PMID 35145215›Full record

ArticleInternational journal of obesity (2005)2022

Central obesity is selectively associated with cerebral gray matter atrophy in 15,634 subjects in the UK Biobank.

Chris-Patrick Pflanz, Daniel J Tozer, Eric L Harshfield, Jonathan Tay, Sadaf Farooqi, Hugh S Markus

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of obesity (2005), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% of its field
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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

6 authors at 1 institution in 1 country.

Chris-Patrick PflanzUniversity of Cambridge Stroke Research Group, Neurology Unit, Department of Clinical Neurosciences, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
Daniel J TozerUniversity of Cambridge Stroke Research Group, Neurology Unit, Department of Clinical Neurosciences, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK. djt54@medschl.cam.ac.uk.ORCID http://orcid.org/0000-0002-0404-3214
Eric L HarshfieldUniversity of Cambridge Stroke Research Group, Neurology Unit, Department of Clinical Neurosciences, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.ORCID http://orcid.org/0000-0001-8767-0928
Jonathan TayUniversity of Cambridge Stroke Research Group, Neurology Unit, Department of Clinical Neurosciences, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
Sadaf FarooqiUniversity of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Welcome Trust-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK.ORCID http://orcid.org/0000-0001-7609-3504
Hugh S MarkusUniversity of Cambridge Stroke Research Group, Neurology Unit, Department of Clinical Neurosciences, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
University of Cambridge · GB

Funding

British Heart Foundation RG/16/4/32218Medical Research Council MR/L023784/1Medical Research Council MR/L023784/2
6 · The paper itself

Abstract

backgroundObesity is a risk factor for both cardiovascular disease and dementia, but the mechanisms underlying this association are not fully understood. We examined associations between obesity, including estimates of central obesity using different modalities, with brain gray matter (GM) volume in the UK Biobank, a large population-based cohort study.

methodsTo determine relationships between obesity and the brain we used brain MRI, abdominal MRI, dual-energy X-ray absorptiometry (DXA), and bioelectric whole-body impedance. We determined whether obesity was associated with any change in brain gray matter (GM) and white matter (WM) volumes, and brain network efficiency derived from the structural connectome (wiring of the brain) as determined from diffusion-tensor MRI tractography. Using Waist-Hip Ratio (WHR), abdominal MRI and DXA we determined whether any associations were primarily with central rather than peripheral obesity, and whether associations were mediated by known cardiovascular risk factors. We analyzed brain MRI data from 15,634.

resultsWe found that central obesity, was associated with decreased GM volume (anthropometric data: p = 6.7 × 10

conclusionsCentral body-fat distribution rather than the overall body-fat percentage is associated with gray matter changes in people with obesity. Further work is required to identify the factors that mediate the association between central obesity and GM atrophy.

Indexed as

Gray MatterWhite MatterAtrophyBiological Specimen BanksBrainCohort StudiesHumansMagnetic Resonance ImagingObesityObesity, AbdominalUnited Kingdom

Identifiers

PMID35145215
PMCPMC9050590
OpenAlexW4211054521

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.