Body Composition Is Not Related to Structural or Vascular Brain Changes.
Front Neurol
; 10: 559, 2019.
Article
in En
| MEDLINE
| ID: mdl-31191443
ABSTRACT
Background:
It is known that obesity [measured with body mass index (BMI)] relates to brain structure and markers of cerebral small vessel disease (CSVD). However, BMI may not adequately represent body composition. Furthermore, whether those cross-sectional associations hold longitudinally remains uncertain.Methods:
Three thousand six hundred and fourty-eight participants underwent baseline (2006-2014) dual-energy X-ray absorptiometry (DXA)-scan to obtain detailed measures of body composition and a magnetic resonance imaging (MRI) scan to assess brain structure. One thousand eight hundred and fourty-four participants underwent a second MRI-scan at follow-up (2010-2017; median follow-up 5.5 years). To assess cross-sectional and longitudinal associations (measures of change have been calculated) between body composition [BMI, fat mass index (FMI), fat-free mass index (FFMI)], and brain tissue volume (gray matter, white matter, hippocampus), white matter microstructure [fractional anisotropy (FA), mean diffusivity (MD)], and CSVD markers (white matter hyperintensity volume, lacunes, microbleeds) we used multivariable linear and logistic regression models.Results:
A higher BMI and FMI were cross-sectionally associated with smaller white matter volumes (difference in Z-score per SD higher BMI -0.064 [95% CI -0.094, -0.035]) and FMI -0.067 [95% CI -0.099, -0.034], higher FA and MD. A higher FFMI was associated larger gray matter volume (difference 0.060 [95% CI 0.018, 0.101]). There was no statistically significant or clinically relevant association between body composition and brain changes.Conclusions:
Body composition, distinguishing between fat mass and fat-free mass, does not directly influence changes in brain tissue volume, white matter integrity and markers of CSVD. Cross-sectional associations between body composition and brain tissue volume likely reflect cumulative risk or shared etiology.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Type of study:
Prognostic_studies
Language:
En
Journal:
Front Neurol
Year:
2019
Document type:
Article
Affiliation country:
Netherlands
Publication country:
CH
/
SUIZA
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SUÍÇA
/
SWITZERLAND