Evidence map›Paper›PMID 31103633›Full record

ReviewNeurobiology of aging2019

Associations between modifiable risk factors and white matter of the aging brain: insights from diffusion tensor imaging studies.

Thomas M Wassenaar, Kristine Yaffe, Ysbrand D van der Werf, Claire E Sexton

Abstract readReview
In one paragraph

Review in Neurobiology of aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing 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

70 citing papers in PubMed.

  1. Trial
  2. Article
  3. Do white matter hyperintensities account for the relationship between discrimination and memory?Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
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  5. Article
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  7. Article
  8. Article
  9. Review
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  11. Article
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  15. Aging Impacts Basic Auditory and Timing Processes.The European journal of neuroscience · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

10 more citing papers are in PubMed but not listed here.

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

4 authors.

Thomas M WassenaarNuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroscience, FMRIB Centre, University of Oxford, John Radcliffe Hospital, UK.
Kristine YaffeDepartments of Psychiatry, Neurology, and Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Ysbrand D van der WerfDepartment of Anatomy and Neurosciences, VU University Medical Center, MC, Amsterdam, the Netherlands.
Claire E SextonDepartment of Neurology, Global Brain Health Institute, Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA; Department of Psychiatry, Wellcome Centre for Integrative Neuroscience, Oxford Centre for Human Brain Activity, University of Oxford, John Radcliffe Hospital, UK. Electronic address: claire.sexton@gbhi.org.

Funding

Predictors & Outcomes of Cognitive Trajectories in the Oldest OldK24AG031155 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI YAFFE, KRISTINE · 2007 to 2020
$1.5M
NIA NIH HHS K24 AG031155Wellcome Trust
6 · The paper itself

Abstract

There is increasing interest in factors that may modulate white matter (WM) breakdown and, consequentially, age-related cognitive and behavioral deficits. Recent diffusion tensor imaging studies have examined the relationship of such factors with WM microstructure. This review summarizes the evidence regarding the relationship between WM microstructure and recognized modifiable factors, including hearing loss, hypertension, diabetes, obesity, smoking, depressive symptoms, physical (in) activity, and social isolation, as well as sleep disturbances, diet, cognitive training, and meditation. Current cross-sectional evidence suggests a clear link between loss of WM integrity (lower fractional anisotropy and higher mean diffusivity) and hypertension, obesity, diabetes, and smoking; a relationship that seems to hold for hearing loss, social isolation, depressive symptoms, and sleep disturbances. Physical activity, cognitive training, diet, and meditation, on the other hand, may protect WM with aging. Preliminary evidence from cross-sectional studies of treated risk factors suggests that modification of factors could slow down negative effects on WM microstructure. Careful intervention studies are needed for this literature to contribute to public health initiatives going forward.

Indexed as

Diffusion Tensor ImagingAgingCross-Sectional StudiesDepressive DisorderDiabetes MellitusHearing LossHumansHypertensionObesityRisk FactorsSleep Wake DisordersSmokingSocial IsolationWhite MatterAgingDiffusion tensor imagingModifiable– risk factorWhite matter

Identifiers

PMID31103633
PMCPMC6683729

What OpenQuestion holds

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Registered trials

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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.