GOTOV Human Physical Activity and Energy Expenditure Dataset on Older Individuals

DOI:10.4121/12716081.v2
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/12716081

Datacite citation style

Stylianos Paraschiakos; Beekman M. (Marian); Knobbe A. (Arno); Cachucho R. (Ricardo); Slagboom P. (Eline) (2021): GOTOV Human Physical Activity and Energy Expenditure Dataset on Older Individuals. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/12716081.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Version 2 - 2021-11-15 (latest)
Version 1 - 2020-06-26
Wearable sensor-based data of physical activities and indirect calorimetry for 35 (14 female, 21 male) healthy older individuals (over 60 years old). The data has been collected from different body locations and devices: 3x GeneActives accelerometers (ankle, wrist, and chest), 1x Equivital (chest) and COSMED (mask and belt on chest). The 35 individuals followed a protocol of 16 activities of daily living for approximately an hour and a half in a semi-lab environment. These include different types or paces of indoor and outdoor activities with low (lying down, sitting), mid (standing, household activities) and high (walking and cycling) levels of intensity. Additionally, some activities can be specified at different granularities. The study took place at LUMC, between February and May 2015.

History

  • 2020-06-26 first online
  • 2021-11-15 published, posted

Publisher

4TU.Centre for Research Data

Format

media types: application/pdf, application/zip, image/jpeg, text/csv, text/plain

Funding

  • Netherlands Consortium for Healthy Ageing, 050-060-810

Organizations

Leiden University Medical Center, Department of Biomedical Data Sciences, Molecular Epidemiology

DATA

Files (6)