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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 61 out of 100. Digital health tools

Topic: Risk, prevention and care in population studies

The structure and integrity of the ageing brain is interchangeably linked to physical health, and cardiometabolic risk factors (CMRs) are associated with dementia and other brain disorders. In this mixed cross-sectional and longitudinal study (interval mean = 19.7 months), including 790 healthy individuals (mean age = 46.7 years, 53% women), we investigated CMRs and health indicators including anthropometric measures, lifestyle factors, and blood biomarkers in relation to brain structure using MRI-based morphometry and diffusion tensor imaging (DTI). We performed tissue specific brain age prediction using machine learning and performed Bayesian multilevel modeling to assess changes in each CMR over time, their respective association with brain age gap (BAG), and their interaction effects with time and age on the tissue-specific BAGs. The results showed credible associations between DTI-based BAG and blood levels of phosphate and mean cell volume (MCV), and between T1-based BAG and systolic blood pressure, smoking, pulse, and C-reactive protein (CRP), indicating older-appearing brains in people with higher cardiometabolic risk (smoking, higher blood pressure and pulse, low-grade inflammation). Longitudinal evidence supported interactions between both BAGs and waist-to-hip ratio (WHR), and between DTI-based BAG and systolic blood pressure and smoking, indicating accelerated ageing in people with higher cardiometabolic risk (smoking, higher blood pressure, and WHR). The results demonstrate that cardiometabolic risk factors are associated with brain ageing. While randomized controlled trials are needed to establish causality, our results indicate that public health initiatives and treatment strategies targeting modifiable cardiometabolic risk factors may also improve risk trajectories and delay brain ageing.

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

APA 7th

Beck, D., de Lange, A. G., Pedersen, M. L., Alnaes, D., Maximov, II., Voldsbekk, I., et al. (2022). Cardiometabolic risk factors associated with brain age and accelerate brain ageing. Human brain mapping. https://doi.org/10.1002/hbm.25680

Vancouver

Beck D, de Lange AG, Pedersen ML, Alnaes D, Maximov II, Voldsbekk I, et al. Cardiometabolic risk factors associated with brain age and accelerate brain ageing. Human brain mapping. 2022. doi:10.1002/hbm.25680. PMID: 34626047.

BibTeX

@article{beck2022-34626047,
  author  = {Beck, D. and de Lange, A. G. and Pedersen, M. L. and Alnaes, D. and Maximov, II. and Voldsbekk, I. and Richard, G. and Sanders, A. M. and others},
  title   = {{Cardiometabolic risk factors associated with brain age and accelerate brain ageing}},
  journal = {Human brain mapping},
  year    = {2022},
  doi     = {10.1002/hbm.25680},
  pmid    = {34626047},
  url     = {https://doi.org/10.1002/hbm.25680}
}

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.

Key findings

Why it matters

This study of 790 healthy individuals found associations between cardiometabolic risk factors such as smoking, higher blood pressure, and inflammation and older-appearing brains on imaging. It identifies risk associations but does not test any treatment, cure, or prevention for Alzheimer's disease.

Study details

How this study scored 61/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 3 of 4; Study design 4 of 12; Strength of evidence 5 of 5; Peer-review validation 10 of 10; How recent 3 of 5; Sample size 0 of 4; Effect reported 0 of 3; Studied in people 0 of 3; Randomised / blinded 0 of 2; Times cited 5 of 7; Citations per year 3 of 5; Impact for its field and year 4 of 6; Cited by studies here 1 of 6; Still being cited 3 of 4; Senior author's track record 4 of 4; Institution's track record 2 of 3; Multi-centre collaboration 3 of 3; Indexed in PubMed 2 of 2; Free to read 2 of 2. Total 61 of 100.61 of 100 points earned39 not earned

Published in a peer-reviewed journal, and it is a snapshot of people at one point in time. Scored zero for sample size, effect reported, studied in people and randomised / blinded because the record does not state it.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (Human brain mapping)
Journal's citation record 3 / 4 Human Brain Mapping: journal h-index 271 (OpenAlex, 2026-10-29)
Study design 4 / 12 A snapshot of people at one point in time
Strength of evidence 5 / 5 Rated “high” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 3 / 5 2022 — within 6 year(s) of the newest study here
Sample size 0 / 4 Participant count not stated — scores zero (not stated in the record — scored 0)
Effect reported 0 / 3 No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people 0 / 3 Not stated whether this was studied in people — scores zero (not stated in the record — scored 0)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 5 / 7 Cited 101 times (OpenAlex, 2026-10-10)
Citations per year 3 / 5 16.8 citations a year over 6 year(s) since 2022
Impact for its field and year 4 / 6 Cited 10.2× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 1 / 6 Cited by 1 other studies in this library
Still being cited 3 / 4 Cited 60 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 4 / 4 Last-listed author Lars Tjelta Westlye: h-index 101 (OpenAlex, whole career)
Institution's track record 2 / 3 University of Oxford: institution h-index 2,205 (OpenAlex)
Multi-centre collaboration 3 / 3 OpenAlex lists 10 institution(s) in 4 countries
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 34626047)
Free to read 2 / 2 Free to read
Total 61 / 100 —

What each of these 20 components measures, and what this score is not →

Read the original

Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

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Later studies that cite this one

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