Evidence map›Paper›PMID 35460147›Full record

ArticleHuman brain mapping2022

Sex- and age-specific associations between cardiometabolic risk and white matter brain age in the UK Biobank cohort.

Sivaniya Subramaniapillai, Sana Suri, Claudia Barth, Ivan I Maximov, Irene Voldsbekk, Dennis van der Meer, Tiril P Gurholt, Dani Beck, Bogdan Draganski, Ole A Andreassen and 3 more

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 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
6.2field-weighted citation impact, top 3% 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, 45 citations in OpenAlex.

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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

13 authors at 4 institutions in 7 countries.

Sivaniya SubramaniapillaiLREN, Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland.ORCID 0000-0003-3207-0700
Sana SuriDepartment of Psychiatry, University of Oxford, Oxford, UK.ORCID 0000-0002-5136-8302
Claudia BarthNorwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway.ORCID 0000-0001-6544-0945
Ivan I MaximovDepartment of Psychology, University of Oslo, Oslo, Norway.ORCID 0000-0001-6319-6774
Irene VoldsbekkDepartment of Psychology, University of Oslo, Oslo, Norway.ORCID 0000-0001-9393-5857
Dennis van der MeerNorwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway.ORCID 0000-0002-0466-386X
Tiril P GurholtNorwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway.ORCID 0000-0002-1272-7616
Dani BeckDepartment of Psychology, University of Oslo, Oslo, Norway.ORCID 0000-0002-0974-9304
Bogdan DraganskiLREN, Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-5159-5919
Ole A AndreassenNorwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and University of Oslo, Oslo, Norway.ORCID 0000-0002-4461-3568
Klaus P EbmeierDepartment of Psychiatry, University of Oxford, Oxford, UK.ORCID 0000-0002-5190-7038
Lars T WestlyeDepartment of Psychology, University of Oslo, Oslo, Norway.ORCID 0000-0001-8644-956X
Ann-Marie G de LangeLREN, Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-5150-6656
Oslo University Hospital · NOUniversity of Oslo · NOUniversity of Oxford · GBUniversity Hospital of Lausanne · CH

Funding

Medical Research Council G1001354Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Wellcome TrustWellcome Trust 203139/Z/16/Z
6 · The paper itself

Abstract

Cardiometabolic risk (CMR) factors are associated with accelerated brain aging and increased risk for sex-dimorphic illnesses such as Alzheimer's disease (AD). Yet, it is unknown how CMRs interact with sex and apolipoprotein E-ϵ4 (APOE4), a known genetic risk factor for AD, to influence brain age across different life stages. Using age prediction based on multi-shell diffusion-weighted imaging data in 21,308 UK Biobank participants, we investigated whether associations between white matter Brain Age Gap (BAG) and body mass index (BMI), waist-to-hip ratio (WHR), body fat percentage (BF%), and APOE4 status varied (i) between males and females, (ii) according to age at menopause in females, and (iii) across different age groups in males and females. We report sex differences in associations between BAG and all three CMRs, with stronger positive associations among males compared to females. Independent of APOE4 status, higher BAG (older brain age relative to chronological age) was associated with greater BMI, WHR, and BF% in males, whereas in females, higher BAG was associated with greater WHR, but not BMI and BF%. These divergent associations were most prominent within the oldest group of females (66-81 years), where greater BF% was linked to lower BAG. Earlier menopause transition was associated with higher BAG, but no interactions were found with CMRs. In conclusion, the findings point to sex- and age-specific associations between CMRs and brain age. Incorporating sex as a factor of interest in studies addressing CMR may promote sex-specific precision medicine, consequently improving health care for both males and females.

Indexed as

Alzheimer DiseaseCardiovascular DiseasesWhite MatterAge FactorsApolipoprotein E4Biological Specimen BanksBody Mass IndexBrainFemaleHumansMaleRisk FactorsUnited KingdomApolipoprotein E4APOE genetic riskbrain agecardiometabolic healthmenopausesex differences

Identifiers

PMID35460147
PMCPMC9294301
OpenAlexW4225269802

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.