Predictors of gait speed and its change over three years in community-dwelling older people

Daniela Pinter; Stuart J. Ritchie; Thomas Gattringer; Mark E. Bastin; Maria del C.Valdés Hernández; Janie Corley; Susana Muñoz Maniega; Alison Pattie; David A. Dickie; Alan J. Gow; John M. Starr; Ian J. Deary; Christian Enzinger; Franz Fazekas; Joanna Wardlaw

doi:10.18632/aging.101365

Predictors of gait speed and its change over three years in community-dwelling older people

Daniela Pinter, Stuart J. Ritchie, Thomas Gattringer, Mark E. Bastin, Maria del C.Valdés Hernández, Janie Corley, Susana Muñoz Maniega, Alison Pattie, David A. Dickie, Alan J. Gow, John M. Starr, Ian J. Deary, Christian Enzinger, Franz Fazekas, Joanna Wardlaw^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

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Abstract

We aimed to assess whether and how changes in brain volume and increases in white matter hyperintensity (WMH) volume over three years predict gait speed and its change independently of demographics, vascular risk factors and physical status. We analyzed 443 individuals from the Lothian Birth Cohort 1936, at mean age 73 and 76 years. Gait speed at age 76 was predicted by age, grip strength and body mass index at mean age 73, three-year brain volume decrease and WMH volume increase, explaining 26.1% of variance. Decline in gait speed to age 76 was predicted by the same five variables explaining 40.9% of variance. In both analyses, grip strength and body mass index explained the most variance. A clinically significant decline in gait speed (≥ 0.1 m/s per year) occurred in 24.4%. These individuals had more structural brain changes. Brain volume and WMH changes were independent predictors of gait dysfunction and its three-year change, but the impact of malleable physical factors such as grip strength or body mass index was greater.

Original language	English
Pages (from-to)	144-153
Number of pages	10
Journal	Aging
Volume	10
Issue number	1
DOIs	https://doi.org/10.18632/aging.101365
Publication status	Published - 20 Jan 2018

Keywords

Aging
Body mass index
Brain volume
Gait
Grip strength
White matter hyperintensity volume

ASJC Scopus subject areas

Ageing
Cell Biology

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© Pinter et al. This is an open‐access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Pinter, D., Ritchie, S. J., Gattringer, T., Bastin, M. E., Hernández, M. D. C. V., Corley, J., Muñoz Maniega, S., Pattie, A., Dickie, D. A., Gow, A. J., Starr, J. M., Deary, I. J., Enzinger, C., Fazekas, F., & Wardlaw, J. (2018). Predictors of gait speed and its change over three years in community-dwelling older people. Aging, 10(1), 144-153. https://doi.org/10.18632/aging.101365

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abstract = "We aimed to assess whether and how changes in brain volume and increases in white matter hyperintensity (WMH) volume over three years predict gait speed and its change independently of demographics, vascular risk factors and physical status. We analyzed 443 individuals from the Lothian Birth Cohort 1936, at mean age 73 and 76 years. Gait speed at age 76 was predicted by age, grip strength and body mass index at mean age 73, three-year brain volume decrease and WMH volume increase, explaining 26.1% of variance. Decline in gait speed to age 76 was predicted by the same five variables explaining 40.9% of variance. In both analyses, grip strength and body mass index explained the most variance. A clinically significant decline in gait speed (≥ 0.1 m/s per year) occurred in 24.4%. These individuals had more structural brain changes. Brain volume and WMH changes were independent predictors of gait dysfunction and its three-year change, but the impact of malleable physical factors such as grip strength or body mass index was greater.",

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AU - Hernández, Maria del C.Valdés

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AU - Gow, Alan J.

AU - Starr, John M.

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AU - Enzinger, Christian

AU - Fazekas, Franz

AU - Wardlaw, Joanna

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N2 - We aimed to assess whether and how changes in brain volume and increases in white matter hyperintensity (WMH) volume over three years predict gait speed and its change independently of demographics, vascular risk factors and physical status. We analyzed 443 individuals from the Lothian Birth Cohort 1936, at mean age 73 and 76 years. Gait speed at age 76 was predicted by age, grip strength and body mass index at mean age 73, three-year brain volume decrease and WMH volume increase, explaining 26.1% of variance. Decline in gait speed to age 76 was predicted by the same five variables explaining 40.9% of variance. In both analyses, grip strength and body mass index explained the most variance. A clinically significant decline in gait speed (≥ 0.1 m/s per year) occurred in 24.4%. These individuals had more structural brain changes. Brain volume and WMH changes were independent predictors of gait dysfunction and its three-year change, but the impact of malleable physical factors such as grip strength or body mass index was greater.

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Predictors of gait speed and its change over three years in community-dwelling older people

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