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. 2024 Nov 6;7(11):e70108.
doi: 10.1002/hsr2.70108. eCollection 2024 Nov.

Self-reported physical activity and gait in older adults without dementia: A longitudinal study

Janina Krell-Roesch  1   2 , Jeremy A Syrjanen  2 , Tobias Moeller  1 , Jelena Krafft  1 , Bettina Barisch-Fritz  1 , Walter K Kremers  2 , Farwa Ali  3 , David S Knopman  3 , Ronald C Petersen  2   3 , Thorsten Stein  1 , Alexander Woll  1 , Maria Vassilaki  2 , Yonas E Geda  4
Affiliations

Self-reported physical activity and gait in older adults without dementia: A longitudinal study

Janina Krell-Roesch et al. Health Sci Rep. .

Abstract

Background and aims: Physical activity (PA) is associated with higher gait speed. We aimed to examine the associations between PA and change in spatial and temporal gait measures as well as fall risk in community-dwelling individuals free of dementia.

Methods: Longitudinal study among 4173 individuals aged ≥50 years (mean age 71 years; 2078 males; median follow-up 4 years) enrolled in the Mayo Clinic Study of Aging. Self-reported late-life PA was used to calculate overall PA and moderate-vigorous PA (MVPA) scores. Gait was assessed using GAITRite® and Zeno™ systems. Incident falls information was based on diagnostic codes retrieved from medical records. We ran linear mixed effects models to examine associations between z-scored PA variables and longitudinal gait parameters, adjusted for age, sex, education, body mass index (BMI), medical comorbidities, and including interactions between PA and time since baseline. In secondary analyses, we calculated Cox Proportional hazard models with age as time scale predicting incident falls by PA, adjusting for sex, education, BMI, medical comorbidities, and falls history.

Results: At baseline, higher PA was associated with higher velocity (overall PA: estimate 2.9935; MVPA: 2.2961; p < 0.001), higher cadence (overall PA: 1.0665; MVPA: 0.9073; p < 0.001), greater stride length (overall PA: 2.0805; MVPA: 1.4726; p < 0.001), shorter double support time (overall PA: -0.0257; MVPA: -0.0205; p < 0.001), and lower stance time variability (overall PA: -0.0204, p < 0.001; MVPA: -0.0152; p = 0.006). Overall PA was longitudinally associated with less decline in cadence, and MVPA with less increase in intraindividual stance time variability. Overall PA (Hazard ratio 0.892, 95% confidence interval 0.828-0.961, p = 0.003) and MVPA (HR 0.901; 95% CI 0.835-0.973, p = 0.008) were associated with a decreased risk of incident falls.

Conclusion: Late-life PA was associated with favorable gait outcomes and decreased risk of incident falls. Thus, late-life PA may help to maintain gait performance and decrease fall risk in old age.

Keywords: fall risk; gait; longitudinal; physical activity.

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Conflict of interest statement

WKK receives research funding from NIH, Astra Zeneca, Biogen, and Roche. DSK serves on a data safety monitoring board for the Dominantly Inherited Alzheimer Network TREATMENT UNIT (DIAN‐TU) study and was an investigator in clinical trials sponsored by Biogen, Lilly Pharmaceuticals, and the University of Southern California. RCP has consulted for Roche, Inc.; Genentech, Inc.; Eli Lilly, Inc.; Nestle, Inc. and Eisai, Inc.; a DSMB for Genentech, Inc. and receives royalties from Oxford University Press for Mild Cognitive Impairment and from UpToDate. His research funding is from NIH/NIA. MV consulted for F. Hoffmann‐La Roche Ltd, unrelated to this manuscript; she currently receives research funding from NIH and has equity ownership in Amgen, Johnson and Johnson, Medtronic, and Merck. YEG receives funding from Roche, served on the Lundbeck advisory board, and receives research funding from the NIH. The other authors report no disclosures.

References

    1. Wolfson L. Gait and balance dysfunction: a model of the interaction of age and disease. Neuroscientist. 2001;7(2):178‐183. 10.1177/107385840100700212 - DOI - PubMed
    1. Verlinden VJA, van der Geest JN, Hoogendam YY, Hofman A, Breteler MMB, Ikram MA. Gait patterns in a community‐dwelling population aged 50 years and older. Gait Posture. 2013;37(4):500‐505. 10.1016/j.gaitpost.2012.09.005 - DOI - PubMed
    1. Gamwell HE, Wait SO, Royster JT, Ritch BL, Powell SC, Skinner JW. Aging and gait function: examination of multiple factors that influence gait variability. Gerontol Geriatr Med. 2022;8:233372142210803. 10.1177/23337214221080304 - DOI - PMC - PubMed
    1. Callisaya ML, Blizzard L, Schmidt MD, McGinley JL, Srikanth VK. Ageing and gait variability‐a population‐based study of older people. Age Ageing. 2010;39(2):191‐197. 10.1093/ageing/afp250 - DOI - PubMed
    1. Pieruccini‐Faria F, Sarquis‐Adamson Y, Anton‐Rodrigo I, et al. Mapping associations between gait decline and fall risk in mild cognitive impairment. J Am Geriatr Soc. 2020;68(3):576‐584. 10.1111/jgs.16265 - DOI - PubMed

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