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Body Composition Is Not Related to Structural or Vascular Brain Changes.
Croll, Pauline H; Bos, Daniel; Ikram, Mohammad Arfan; Rivadeneira, Fernando; Voortman, Trudy; Vernooij, Meike W.
Affiliation
  • Croll PH; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands.
  • Bos D; Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, Netherlands.
  • Ikram MA; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands.
  • Rivadeneira F; Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, Netherlands.
  • Voortman T; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands.
  • Vernooij MW; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands.
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.
Key words

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 / SUÍÇA / SWITZERLAND

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 / SUÍÇA / SWITZERLAND