PREDIFALL protocol: multimodal predictors of falls in healthy adults aged 65 and older
The PREDIFALL protocol describes a planned prospective observational cohort of 100 healthy adults aged 65 and older, combining baseline clinical, functional, sensory, imaging and blood-based assessments with weekly smartphone-based fall monitoring over 12 months. [1]
Automatic summary · not editorially reviewed
The key findings
PREDIFALL is planned as a prospective observational cohort study including 100 healthy adults aged 65 years or older. [1]
At baseline, participants will be classified as fallers or non-fallers based on fall history over the previous 12 months. [1]
Falls will be monitored during a 12-month follow-up with a smartphone-based application completed weekly. [1]
The source at a glance
- Study type / format
- Prospective observational cohort study protocol (abstract).
- Population / context
- 100 healthy older adults aged 65 years or older (planned).
- Summary based on
- Study abstract
- Publication status
- Preprint · peer-review status not confirmed
- Original publication
- August 18, 2026
Planned cohort of 100 healthy adults aged 65 and older
PREDIFALL is described as a prospective observational cohort study that will include 100 healthy older adults aged 65 years or older. At baseline, participants will be classified as fallers or non-fallers based on their fall history over the previous 12 months. The protocol states that falls result from multiple interacting factors and that current fall assessment often relies on isolated measures.
Supporting source [1]
Baseline assessments across clinical, sensory, imaging and blood measures
The planned baseline assessments include questionnaires, physical activity and sleep monitoring, cognitive testing, mobility and gait evaluation, muscle strength testing, posturography, vestibular and auditory assessment, brain and muscle imaging, and blood-based biomarker and multi-omics analyses. Machine learning approaches are planned to integrate these multimodal data and identify profiles associated with retrospective and prospective falls.
Supporting source [1]
Weekly app-based fall monitoring over 12 months
Falls will subsequently be monitored during a 12-month follow-up using a smartphone-based application completed weekly. The protocol states that this follow-up will help evaluate the feasibility of longitudinal fall monitoring in community-dwelling older adults. The authors expect findings to inform future fall prevention strategies; the abstract reports no results yet.
Supporting source [1]
How to interpret this
This is an abstract of a study protocol; no results are reported. The planned design, sample and follow-up are described, but the full text was not reviewed.
Based on the study abstract; the full paper, tables and supplementary data were not reviewed.
Source & supporting passages
Gökçe E, Marcourt C, Kola A, Robcis S, Ciarfaglia RL, Naveau M, Reyngoudt H, Étard N, Humbert X, Nathou C, Étard O, Gauthier A, Quarck G, Freret T, Loggia G, Denise P, Villain C, Langeard A. · europepmc.org · August 18, 2026