Evidence map›Paper›PMID 38562403›Full record

ArticleSSM - population health2024

Pathways explaining racial/ethnic and socio-economic disparities in brain white matter integrity outcomes in the UK Biobank study.

Jordan Weiss, May A Beydoun, Hind A Beydoun, Michael F Georgescu, Yi-Han Hu, Nicole Noren Hooten, Sri Banerjee, Lenore J Launer, Michele K Evans, Alan B Zonderman

Open access · goldAbstract read
In one paragraph

Article in SSM - population health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Alcohol, smoking, and brain structure: common or substance specific associations.medRxiv : the preprint server for health sciences · 2024
    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

10 authors at 3 institutions in 1 country.

Jordan WeissStanford Center on Longevity, Stanford University, Stanford, CA, USA.
May A BeydounLaboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, USA.
Hind A BeydounLaboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, USA.
Michael F GeorgescuLaboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, USA.
Yi-Han HuLaboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, USA.
Nicole Noren HootenLaboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, USA.
Sri BanerjeePublic Health Doctoral Programs, Walden University, Minneapolis, MN, USA.
Lenore J LaunerLaboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, USA.
Michele K EvansLaboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, USA.
Alan B ZondermanLaboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, USA.
National Institute on Aging · USStanford University · USWalden University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathways explaining racial/ethnic and socio-economic status (SES) disparities in white matter integrity (WMI) reflecting brain health, remain underexplored, particularly in the UK population. We examined racial/ethnic and SES disparities in diffusion tensor brain magnetic resonance imaging (dMRI) markers, namely global and tract-specific mean fractional anisotropy (FA), and tested total, direct and indirect effects through lifestyle, health-related and cognition factors using a structural equations modeling approach among 36,184 UK Biobank participants aged 40-70 y at baseline assessment (47% men). Multiple linear regression models were conducted, testing independent associations of race/ethnicity, socio-economic and other downstream factors in relation to global mean FA, while stratifying by Alzheimer's Disease polygenic Risk Score (AD PRS) tertiles. Race (Non-White vs. White) and lower SES predicted poorer WMI (i.e. lower global mean FA) at follow-up, with racial/ethnic disparities in FA

Indexed as

AgingMagnetic resonance imagingRacial disparitiesSocio-economic statusWhite matter integrity

Identifiers

PMID38562403
PMCPMC10982559
OpenAlexW4393060069

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.