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Obesity as a Risk Factor for Accelerated Brain Ageing in First-Episode Psychosis-A Longitudinal Study
S. McWhinney, M. Kolenic, K. Franke, M. Fialova, P. Knytl, M. Matejka, F. Spaniel, T. Hajek
Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články, práce podpořená grantem
Grantová podpora
142255
CIHR - Canada
NLK
Free Medical Journals
od 2006 do Před 1 rokem
PubMed Central
od 2006 do Před 1 rokem
Europe PubMed Central
od 2006 do Před 1 rokem
Medline Complete (EBSCOhost)
od 1996-01-01 do Před 1 rokem
PubMed
34080013
DOI
10.1093/schbul/sbab064
Knihovny.cz E-zdroje
- MeSH
- dospělí MeSH
- index tělesné hmotnosti MeSH
- lidé MeSH
- longitudinální studie MeSH
- magnetická rezonanční tomografie MeSH
- mladiství MeSH
- mladý dospělý MeSH
- obezita komplikace diagnostické zobrazování patologie patofyziologie MeSH
- předčasné stárnutí diagnostické zobrazování etiologie patologie patofyziologie MeSH
- progrese nemoci * MeSH
- psychotické poruchy diagnostické zobrazování patologie patofyziologie MeSH
- rizikové faktory MeSH
- strojové učení * MeSH
- Check Tag
- dospělí MeSH
- lidé MeSH
- mladiství MeSH
- mladý dospělý MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
BACKGROUND: Obesity 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. METHODS: We 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. RESULTS: Individuals 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. CONCLUSIONS: Brain 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.
3rd Faculty of Medicine Charles University Prague Czech Republic
Department of Psychiatry Dalhousie University Halifax Nova Scotia Canada
National Institute of Mental Health Klecany Czech Republic
Structural Brain Mapping Group Department of Neurology Jena University Hospital Jena Germany
Citace poskytuje Crossref.org
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