Daily steps are a predictor of, but perhaps not a risk factor for Parkinson’s disease: findings from the UK Biobank

Previous studies link lower physical activity with incident Parkinson's disease (PD) but rely on self-reported data and fail to address reverse causation. This study used accelerometer-derived daily step count, an objective measure of physical activity, to examine its association with incident PD in the UK Biobank, within successive periods of follow-up. PD cases were identified through hospital inpatient and death data, and associated with machine learning-derived step counts using Cox regression models, adjusted for age, sex, demographic and lifestyle factors. For 94,696 valid participants and a median follow-up of 7.9 years, 407 incident PD cases occurred. Every 1000 steps higher were associated with 8% lower risk of PD (hazard ratio 0.92, 95% confidence interval 0.89-0.94). However, this association was no longer statistically significant when excluding follow-up periods closer to the time of accelerometer wear, suggesting that low activity may be an early marker, but not a risk factor for PD.

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Publication Details

Journal
npj Parkinson s Disease
Published
2025-11-24
DOI
https://doi.org/10.1038/s41531-025-01214-6
Primary Topic
Physical Activity and Health
Type
article
Field-Weighted Citation Impact
0.00

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article

Daily steps are a predictor of, but perhaps not a risk factor for Parkinson’s disease: findings from the UK Biobank

Charlie Harper, Aidan Acquah, Valentin Hamy, Alaina H. Shreves et al.
npj Parkinson s Disease
Physical Activity and Health
article

Daily steps are a predictor of, but perhaps not a risk factor for Parkinson’s disease: findings from the UK Biobank

Charlie Harper, Aidan Acquah, Valentin Hamy, Alaina H. Shreves, Chrystalina A. Antoniades, Derrick Bennett, Stefan van Duijvenboden, Andrew P. Creagh, Aiden Doherty, Charilaos Zisou, David A. Clifton
article en

Abstract

Previous studies link lower physical activity with incident Parkinson's disease (PD) but rely on self-reported data and fail to address reverse causation. This study used accelerometer-derived daily step count, an objective measure of physical activity, to examine its association with incident PD in the UK Biobank, within successive periods of follow-up. PD cases were identified through hospital inpatient and death data, and associated with machine learning-derived step counts using Cox regression models, adjusted for age, sex, demographic and lifestyle factors. For 94,696 valid participants and a median follow-up of 7.9 years, 407 incident PD cases occurred. Every 1000 steps higher were associated with 8% lower risk of PD (hazard ratio 0.92, 95% confidence interval 0.89-0.94). However, this association was no longer statistically significant when excluding follow-up periods closer to the time of accelerometer wear, suggesting that low activity may be an early marker, but not a risk factor for PD.

npj Parkinson s DiseaseVol. 11(1)
National Institutes of Health (US), University of Oxford (GB), Nuffield Health (GB), Suzhou Research Institute (CN), National Cancer Institute (US), Health Data Research UK (GB)
U.S. Department of Health and Human Services, Wellcome Trust, National Institute for Health and Care Research, British Heart Foundation, Royal Academy of Engineering, University of Oxford, Novo Nordisk, National Institutes of Health, Engineering and Physical Sciences Research Council, UCB Pharma
Openalex Percentile: Top 56%
Physical Activity and Health
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