Journal Article DZNE-2026-00887

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Effects of Physical Activity on Brain White Matter Integrity Are Region-, Dose-, and Age-Dependent: Findings From the Population-Based Rhineland Study.

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2026
Wiley-Blackwell Oxford [u.a.]

Aging cell 25(8), e70659 () [10.1111/acel.70659]

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Abstract: White matter integrity is a sensitive marker of cerebrovascular health and aging. Physical activity may promote white matter health, but previous studies were limited by self-reported activity and small sample sizes. We examined the association between accelerometer-based physical activity and novel indices of white matter integrity while identifying potential mediators. We analyzed cross-sectional baseline data from 4188 participants (58% women, mean age: 55.4 years) of the Rhineland Study, a prospective cohort study in Bonn, Germany. Physical activity measures (independent variables) were derived from activPAL3 micro-accelerometers. Fractional anisotropy, mean diffusivity, free water fraction, orientation dispersion, and neurite density (outcomes) were obtained from 3 T MR images for the whole brain and across 27 white matter tracts. We performed multivariable polynomial regression and mediation analyses for cardiometabolic and inflammatory factors. Higher energy expenditure was related to lower orientation dispersion, with the association leveling off at higher amounts (standardized βlinear = -0.153 [-0.183; -0.122]; βquadratic = 0.034 [0.017; 0.051]; both p < 0.001). Physical activity was linked to lower neurite density in motor tracts (βs between -0.133 and -0.056, all p < 0.001). However, with advancing age, physical activity became more strongly associated with higher neurite density and lower mean diffusivity of supratentorial fibers. Body weight, cardiometabolic, and inflammatory factors partly mediated effects of physical activity on white matter microstructure. Physical activity is related to white matter integrity in a nonlinear, age- and region-specific way. Physical activity's effects are greatest in sedentary and older individuals, likely mediated through its impact on body composition, cardiometabolic health, and systemic inflammation.

Keyword(s): Humans (MeSH) ; White Matter: diagnostic imaging (MeSH) ; White Matter: physiology (MeSH) ; Female (MeSH) ; Middle Aged (MeSH) ; Exercise: physiology (MeSH) ; Male (MeSH) ; Aged (MeSH) ; Aging: physiology (MeSH) ; Cross-Sectional Studies (MeSH) ; Adult (MeSH) ; Brain (MeSH) ; Germany (MeSH) ; Prospective Studies (MeSH) ; brain health ; diffusion tensor imaging ; healthy aging ; movement ; physical activity ; white matter

Classification:

Contributing Institute(s):
  1. Population & Clinical Neuroepidemiology (AG Aziz)
  2. Population Health Sciences (AG Breteler)
  3. Artificial Intelligence in Medicine (AG Reuter)
Research Program(s):
  1. 354 - Disease Prevention and Healthy Aging (POF4-354) (POF4-354)

Appears in the scientific report 2026
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Document types > Articles > Journal Article
Institute Collections > BN DZNE > BN DZNE-AG Breteler
Institute Collections > BN DZNE > BN DZNE-AG Reuter
Institute Collections > BN DZNE > BN DZNE-AG Aziz
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 Record created 2026-08-17, last modified 2026-09-10