Handgrip Strength and White Matter Integrity in Midlife Women at Risk for Alzheimer’s Disease

Abstract Poor muscle health is an emerging risk factor for Alzheimer’s disease (AD), yet the pathways linking muscle health to AD risk remain unclear. Handgrip strength (HGS), a marker of muscle health, is associated with episodic memory (EM), the hallmark cognitive symptom of AD. White matter microstructural integrity (WMI) is also associated with EM and implicated in AD pathology. While HGS is associated with global WMI, it is unclear if it specifically relates to WMI in tracts critical for EM, like the fornix and hippocampal cingulum (CGH). Given that women are disproportionately affected by age-related muscle loss and AD, investigating these relationships in women may help uncover a mechanistic link between muscle health and AD risk in this population. Participants (N = 18 women, Mage=55.7±7.0, 66% post-menopause) completed HGS using a handgrip dynamometer; operationalized as the sum of the maximum of two trials per hand. Diffusion tensor imaging was used to estimate fornix and CGH fractional anisotropy (FA), mean diffusivity (MD), and axial diffusivity (AxD) as WMI measures. Linear regression models tested the extent to which HGS predicted WMI. The overall model predicting fornix AxD was significant (p=.026). Greater HGS predicted lower fornix AxD (p=.043), whereas no significant associations were observed between HGS and other WMI measures (p’s>.08). This suggests that greater muscle strength is predictive of more favorable WMI, (i.e., lower fornix AxD, reflecting less diffusion perpendicular to axonal fibers), suggesting better axonal integrity. Future work should use longitudinal designs to investigate if changes in muscle health predict changes in WMI.

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Publication Details

Journal
Innovation in Aging
Published
2025-12-01
DOI
https://doi.org/10.1093/geroni/igaf122.3780
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Handgrip Strength and White Matter Integrity in Midlife Women at Risk for Alzheimer’s Disease

Jennifer L. Etnier, Chadsley M Wessinger, Jarod Vance, Samuel Kibildis et al.
Innovation in Aging
Advanced Neuroimaging Techniques and Applications
article

Handgrip Strength and White Matter Integrity in Midlife Women at Risk for Alzheimer’s Disease

Jennifer L. Etnier, Chadsley M Wessinger, Jarod Vance, Samuel Kibildis, Brittany D Armstrong, Alexis B. Slutsky-Ganesh, Samantha DuBois, Laurie Wideman
article en

Abstract

Abstract Poor muscle health is an emerging risk factor for Alzheimer’s disease (AD), yet the pathways linking muscle health to AD risk remain unclear. Handgrip strength (HGS), a marker of muscle health, is associated with episodic memory (EM), the hallmark cognitive symptom of AD. White matter microstructural integrity (WMI) is also associated with EM and implicated in AD pathology. While HGS is associated with global WMI, it is unclear if it specifically relates to WMI in tracts critical for EM, like the fornix and hippocampal cingulum (CGH). Given that women are disproportionately affected by age-related muscle loss and AD, investigating these relationships in women may help uncover a mechanistic link between muscle health and AD risk in this population. Participants (N = 18 women, Mage=55.7±7.0, 66% post-menopause) completed HGS using a handgrip dynamometer; operationalized as the sum of the maximum of two trials per hand. Diffusion tensor imaging was used to estimate fornix and CGH fractional anisotropy (FA), mean diffusivity (MD), and axial diffusivity (AxD) as WMI measures. Linear regression models tested the extent to which HGS predicted WMI. The overall model predicting fornix AxD was significant (p=.026). Greater HGS predicted lower fornix AxD (p=.043), whereas no significant associations were observed between HGS and other WMI measures (p’s>.08). This suggests that greater muscle strength is predictive of more favorable WMI, (i.e., lower fornix AxD, reflecting less diffusion perpendicular to axonal fibers), suggesting better axonal integrity. Future work should use longitudinal designs to investigate if changes in muscle health predict changes in WMI.

Innovation in AgingVol. 9(Supplement_2)
Piedmont Athens Regional (US), Longwood University (US), University of North Carolina at Greensboro (US), North Carolina Agricultural and Technical State University (US), Appalachian State University (US)
No poverty
Openalex Percentile: Top 29%
Advanced Neuroimaging Techniques and Applications
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