Skip to content

Mobility Assessment in Multi-morbidity

Walking-related Mobility Assessment in Older People With Multimorbidity

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06473168
Acronym
Multi-mobility
Enrollment
55
Registered
2024-06-25
Start date
2024-12-01
Completion date
2025-12-31
Last updated
2024-06-25

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Anxiety, Arthritis, Asthma, Atrial Fibrillation, Bronchiectasis, Cancer, Chronic Kidney Diseases, Chronic Obstructive Pulmonary Disease, Coronary Heart Disease, Depression, Diabetes Mellitus, Heart Failure, Hypertension, Osteoporosis, Parkinson Disease, Peripheral Vascular Disease, Stroke, Transient Ischemic Attack

Brief summary

Multimorbidity (the presence of two or more coexisting long-term conditions) is a significant challenge facing the NHS, especially given UK's ageing population and the association with high levels of illness burden and healthcare costs. Over 50% of adults \>65 years have multiple long-term conditions (MLTCs). Our group has validated a broad range of algorithms applied to single wearable sensors that have the potential to capture walking-related mobility outcomes (such as walking cadence and walking speed) accurately and reliably during activities of daily living across five single long-term conditions. These algorithms, however, cannot be readily applied to people with MLTCs because the effect of multimorbidity on mobility is amplified compared to single long-term conditions secondary to a greater number of complications and sequelae. Accordingly, the aim of this study is to validate algorithms that would allow robust estimation of walking-related mobility outcomes during daily life activities in MLTCs. To meet our objectives, the investigators will perform: i) laboratory-based technical validation of existing and newly developed algorithms for walking-related mobility outcome detection; ii) unsupervised real-life validation of selected algorithms; and iii) examination of how well the validated walking-related mobility outcomes reflect global and disease specific characteristics in older adults with multimorbidity. The investigators will adopt an integrated patient-centric approach where patients with MLTCs will be engaged early in the project to provide input of their perception and concerns regarding mobility limitation in daily life activities. The investigators aim to recruit 55 older adults (\>65 years), men and women, with multiple long-term conditions with the following inclusion criteria: having two or more of the following conditions including osteoarthritis, rheumatoid arthritis, osteoporosis, type 2 diabetes, depression and/or anxiety, hypertension, coronary heart disease, heart failure, atrial fibrillation, chronic obstructive pulmonary disease, asthma, bronchiectasis, chronic kidney disease, cancer, or stroke within the last 5 years.

Interventions

None listed

Sponsors

Newcastle University
CollaboratorOTHER
Northumbria University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
65 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Adults ≥65 years old * Able and willing to provide informed consent * Able to read and write in English * To be mobile (including the use of walking aids) * Two or more of the following long terms conditions: Arthritis, Asthma, Atrial fibrillation, Bronchiectasis, Cancer, Chronic kidney disease, Chronic obstructive pulmonary disease, Coronary heart disease, Anxiety, Depression, Diabetes mellitus, Heart failure, Hypertension, Osteoporosis, Parkinson's disease, Peripheral vascular disease, Stroke or transient ischaemic attack

Exclusion criteria

* Unable to give consent for the study * Severe mental health problems * Active malignancy (on chemotherapy/radiotherapy/planned urgent surgery)

Design outcomes

Primary

MeasureTime frameDescription
Cadence7-day real world assessmentWalking cadence measured in the real world obtained from the Inertial Measurement Units placed on the lower back and the wrist measured in steps/minute.
Stride length7-day real world assessmentStride length measured in the real world obtained from the Inertial Measurement Units placed on the lower back and the wrist measured in meters.
Walking speed7-day real world assessmentWalking speed measured in the real world obtained from the Inertial Measurement Units placed on the lower back and the wrist measured in m/s.
Stride duration7-day real world assessmentStride duration measured in the real world obtained from the Inertial Measurement Units placed on the lower back and the wrist measured in sec.

Secondary

MeasureTime frameDescription
Daily steps7-day real world assessmentMeasured in the real world obtained from the Inertial Measurement Unit placed on the lower back and the wrist expressed in steps/day.
Sedentarism7-day real world assessmentMeasured in the real world obtained from the Inertial Measurement Unit placed on the lower back and the wrist indicating time spent in different types of activities such as sitting down, lying, and walking expressed in minutes per day.
Turning angle7-day real world assessmentMeasured in the real world obtained from the Inertial Measurement Unit placed on the lower back and the wrist expressed in deg/s.

Contacts

Primary ContactIoannis Vogiatzis, PhD
ioannis.vogiatzis@northumbria.ac.uk+44 (0)191 349 5446

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026