Log in to save to my catalogue

Evaluating the prediction performance of objective physical activity measures for incident Parkinson...

Evaluating the prediction performance of objective physical activity measures for incident Parkinson...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2887478498

Evaluating the prediction performance of objective physical activity measures for incident Parkinson’s disease in the UK Biobank

About this item

Full title

Evaluating the prediction performance of objective physical activity measures for incident Parkinson’s disease in the UK Biobank

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

Journal title

Journal of neurology, 2023-12, Vol.270 (12), p.5913-5923

Language

English

Formats

Publication information

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

More information

Scope and Contents

Contents

Background
Parkinson’s disease (PD) is the fastest-growing neurological condition with over 10 million cases worldwide. While age and sex are known predictors of incident PD, there is a need to identify other predictors. This study compares the prediction performance of accelerometry-derived physical activity (PA) measures and traditional risk f...

Alternative Titles

Full title

Evaluating the prediction performance of objective physical activity measures for incident Parkinson’s disease in the UK Biobank

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2887478498

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2887478498

Other Identifiers

ISSN

0340-5354

E-ISSN

1432-1459

DOI

10.1007/s00415-023-11939-0

How to access this item