ArticleHealth science reports2024
Self-reported physical activity and gait in older adults without dementia: A longitudinal study.
Article in Health science reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- Physical and Cognitive Activities and Trajectories of AD Neuroimaging Biomarkers: Longitudinal Analysis in the Mayo Clinic Study of Aging.Neurology · 2025Article
- Interplay between balance, gait kinematic and physical activity level in facioscapulohumeral muscular dystrophy.Scientific reports · 2025Article
- Promoting Physical Activity and Preventing Falls Among Older Adults in a Nursing Home Setting: Protocol for Development and Implementation of the BeSt Age Mobile App.JMIR research protocols · 2025Article
- Self-reported physical activity and gait in older adults without dementia: A longitudinal study.Health science reports · 2024Article
Corrections and comments
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Authors and funding
13 authors.
Funding
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; 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.
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Registered trials
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