Association of Cut-Point Free Metrics and Common Clinical Tests Among Older Adults After Proximal Femoral Fracture
Wearable and lightweight devices facilitate real-world physical activity (PA) assessments. MX metrics, as a cut-point-free parameter, evaluate acceleration above which the most active X minutes are accumulated. It provides insights into the intensity of PA over specific durations. This study evaluated the association of MX metrics and clinical tests in older adults recovering from proximal femoral fracture (PFF). Analyses were conducted on the PFF cohort from the baseline assessment of the Mobilise-D project using an accelerometer-based device. Participants (N = 396) were categorized into four recovery groups: acute, post-acute, extended recovery, and long-term recovery. Mobility capacity was assessed through the 6 min walking test (6MinWT), Short Physical Performance Battery (SPPB), 4-m walking test (4MWT), and hand grip (HG) strength. Mobility perception was evaluated using the Late-Life Function and Disability Instrument (LLFDI). Eight MX metrics (M1-M90) were calculated using the GGIR package in R. Results showed a moderate to strong positive correlation between M1 and M30 and lower limb mobility capacity tests and mobility perception (Lower Extremity domains) particularly in the extended and long-term recovery groups. MX metrics can be used for measuring PA intensity among older adults recovering from PFF. Hence, MX metrics have a high potential for clinical use as personalized PA targets in PFF rehabilitation.
Authors
- Joren Buekers (ORCID: https://orcid.org/0000-0003-4866-5741)
- Judith García‐Aymerich (ORCID: https://orcid.org/0000-0002-7097-4586)
- Hananeh Younesian (ORCID: https://orcid.org/0000-0002-7695-2417)
- Anisoara Paraschiv-Ionescu (ORCID: https://orcid.org/0000-0002-2341-4383)
- Beatrix Vereijken (ORCID: https://orcid.org/0000-0002-2231-8138)
- Lynn Rochester (ORCID: https://orcid.org/0000-0001-5774-9272)
- Clemens Becker (ORCID: https://orcid.org/0000-0003-1624-8353)
- Monika Engdal (ORCID: https://orcid.org/0009-0007-4854-2561)
- Kamiar Aminian (ORCID: https://orcid.org/0000-0002-6582-5375)
- Jorunn L. Helbostad (ORCID: https://orcid.org/0000-0003-0214-9290)
- Carl-Philipp Jansen (ORCID: https://orcid.org/0000-0002-2779-7019)
- Brian Michael Caulfield (ORCID: https://orcid.org/0000-0003-0290-9587)
- Paula Alvarez (ORCID: https://orcid.org/0009-0000-0795-4307)
- David Singleton (ORCID: https://orcid.org/0000-0003-0616-3954)
- Martin Aursand Berge (ORCID: https://orcid.org/0000-0001-8741-0739)
- Sarah Koch
Institutions
- University College Dublin (IE)
- Universitat Pompeu Fabra (ES)
- University of Basel (CH)
- Norwegian University of Science and Technology (NO)
- Newcastle upon Tyne Hospitals NHS Foundation Trust (GB)
- Robert Bosch Hospital (DE)
- NIHR Newcastle Biomedical Research Centre (GB)
- Barcelona Institute for Global Health (ES)
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (ES)
- Dublin City University (IE)
- École Polytechnique Fédérale de Lausanne (CH)
- Newcastle University (GB)
Publication Details
- Journal
- Sensors
- Published
- 2025-04-18
- DOI
- https://doi.org/10.3390/s25082557
- Primary Topic
- Cardiovascular and exercise physiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Federation of Pharmaceutical Industries and Associations
- Innovative Medicines Initiative