Evidence map›Paper›PMID 39371174›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Daily steps are a predictor of, but perhaps not a modifiable risk factor for Parkinson's Disease: findings from the UK Biobank.

Aidan Acquah, Andrew Creagh, Valentin Hamy, Alaina Shreves, Charilaos Zisou, Charlie Harper, Stefan Van Duijvenboden, Chrystalina Antoniades, Derrick Bennett, David Clifton and 1 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Aidan AcquahNuffield Department of Population Health, University of Oxford, UK.ORCID 0000-0002-3241-1280
Andrew CreaghBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, UK.ORCID 0000-0002-6086-6098
Valentin HamyGSK, UK.
Alaina ShrevesNuffield Department of Population Health, University of Oxford, UK.ORCID 0000-0002-0127-4391
Charilaos ZisouNuffield Department of Population Health, University of Oxford, UK.
Charlie HarperNuffield Department of Population Health, University of Oxford, UK.ORCID 0000-0002-0134-9832
Stefan Van DuijvenbodenNuffield Department of Population Health, University of Oxford, UK.ORCID 0000-0001-8897-558X
Chrystalina AntoniadesNuffield Department of Clinical Neurosciences, Medical Sciences Division, University of Oxford, Oxford, UK.ORCID 0000-0002-1192-3834
Derrick BennettNuffield Department of Population Health, University of Oxford, UK.ORCID 0000-0002-9170-8447
David CliftonInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford.
Aiden DohertyNuffield Department of Population Health, University of Oxford, UK.ORCID 0000-0003-1840-0451

Funding

Wellcome Trust
6 · The paper itself

Abstract

Importance: Higher physical activity levels have been suggested as a potential modifiable risk factor for lowering the risk of incident Parkinson's disease (PD). This study uses objective measures of physical activity to investigate the role of reverse causation in the observed association. Objective: To investigate the association between accelerometer-derived daily step count and incident PD, and to assess the impact of reverse causation on this association. Design: This prospective cohort study involved a follow-up period with a median duration of 7.9 years, with participants who wore wrist-worn accelerometers for up to 7 days. Setting: The study was conducted within the UK Biobank, a large, population-based cohort. Participants: The analysis included 94,696 participants aged 43-78 years (56% female) from the UK Biobank who provided valid accelerometer data and did not have prevalent PD. Exposure: Daily step counts were derived using machine learning models to determine the median daily step count over the monitoring period. Main Outcomes and Measures: The primary outcome was incident PD, identified through hospital admission and death records. Cox proportional hazards regression models estimated hazard ratios (HR) and 95% confidence intervals (CI) for the association between daily step count and incident PD, with adjustments for various covariates and evaluation of reverse causation by splitting follow-up periods. Results: During a median follow-up of 7.9 years (IQR: 7.4-8.4), 407 incident PD cases were identified. An inverse linear association was observed between daily step count and incident PD. Participants in the highest quintile of daily steps (>12,369 steps) had an HR of 0.41 (95% CI 0.31-0.54) compared to the lowest quintile (<6,276 steps; HR 1.00; 95% CI 0.84-1.19). A per 1,000 step increase was associated with an HR of 0.92 (95% CI 0.89-0.94). However, after excluding the first six years of follow-up, the association was not significant (HR 0.96, 95% CI 0.92-1.01). Conclusions and Relevance: The observed association between higher daily step count and lower incident PD is likely influenced by reverse causation, suggesting changes in physical activity levels occur years before PD diagnosis. While step counts may serve as a predictor for PD, they may not represent a modifiable risk factor. Further research with extended follow-up periods is warranted to better understand this relationship and account for reverse causation.

Identifiers

PMID39371174
PMCPMC11451817

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.