Evidence map›Paper›PMID 34080013›Full record

ArticleSchizophrenia bulletin2021

Obesity as a Risk Factor for Accelerated Brain Ageing in First-Episode Psychosis-A Longitudinal Study.

Sean McWhinney, Marian Kolenic, Katja Franke, Marketa Fialova, Pavel Knytl, Martin Matejka, Filip Spaniel, Tomas Hajek

Open access · bronzeAbstract read
In one paragraph

Article in Schizophrenia bulletin, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 3 pooled it
6.9field-weighted citation impact, top 2% 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

39 citing papers in PubMed, 3 syntheses or guidelines pooled it, 61 citations in OpenAlex.

  1. Pooled it
  2. BrainAGE, brain health, and mental disorders: A systematic review.Neuroscience and biobehavioral reviews · 2024
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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

8 authors at 4 institutions in 3 countries.

Sean McWhinneyDepartment of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada.
Marian KolenicNational Institute of Mental Health, Klecany, Czech Republic.
Katja FrankeStructural Brain Mapping Group, Department of Neurology, Jena University Hospital, Jena, Germany.
Marketa FialovaNational Institute of Mental Health, Klecany, Czech Republic.
Pavel KnytlNational Institute of Mental Health, Klecany, Czech Republic.
Martin MatejkaNational Institute of Mental Health, Klecany, Czech Republic.
Filip SpanielNational Institute of Mental Health, Klecany, Czech Republic.
Tomas HajekDepartment of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada.ORCID 0000-0003-0281-8458
Charles University · CZDalhousie University · CANational Institute of Mental Health · CZJena University Hospital · DE

Funding

CIHR 142255
6 · The paper itself

Abstract

backgroundObesity is highly prevalent in schizophrenia, with implications for psychiatric prognosis, possibly through links between obesity and brain structure. In this longitudinal study in first episode of psychosis (FEP), we used machine learning and structural magnetic resonance imaging (MRI) to study the impact of psychotic illness and obesity on brain ageing/neuroprogression shortly after illness onset.

methodsWe acquired 2 prospective MRI scans on average 1.61 years apart in 183 FEP and 155 control individuals. We used a machine learning model trained on an independent sample of 504 controls to estimate the individual brain ages of study participants and calculated BrainAGE by subtracting chronological from the estimated brain age.

resultsIndividuals with FEP had a higher initial BrainAGE than controls (3.39 ± 6.36 vs 1.72 ± 5.56 years; β = 1.68, t(336) = 2.59, P = .01), but similar annual rates of brain ageing over time (1.28 ± 2.40 vs 1.07±1.74 estimated years/actual year; t(333) = 0.93, P = .18). Across both cohorts, greater baseline body mass index (BMI) predicted faster brain ageing (β = 0.08, t(333) = 2.59, P = .01). For each additional BMI point, the brain aged by an additional month per year. Worsening of functioning over time (Global Assessment of Functioning; β = -0.04, t(164) = -2.48, P = .01) and increases especially in negative symptoms on the Positive and Negative Syndrome Scale (β = 0.11, t(175) = 3.11, P = .002) were associated with faster brain ageing in FEP.

conclusionsBrain alterations in psychosis are manifest already during the first episode and over time get worse in those with worsening clinical outcomes or higher baseline BMI. As baseline BMI predicted faster brain ageing, obesity may represent a modifiable risk factor in FEP that is linked with psychiatric outcomes via effects on brain structure.

Indexed as

Disease ProgressionMachine LearningAdolescentAdultAging, PrematureBody Mass IndexFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleObesityPsychotic DisordersRisk FactorsYoung Adultantipsychoticsbrain agefirst-episode psychosislongitudinal studymachine learningobesity

Identifiers

PMID34080013
PMCPMC8530396
OpenAlexW3164096938

What OpenQuestion holds

Textmetadata
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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.