Walking-related Mobility Assessment in Older People With Multimorbidity
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 55
- 主要终点
- Cadence
研究概览
简要总结
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 65 Years 至 —(Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •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
排除标准
- •Unable to give consent for the study
- •Severe mental health problems
- •Active malignancy (on chemotherapy/radiotherapy/planned urgent surgery)
结局指标
主要结局
Cadence
时间窗: 7-day real world assessment
Walking 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 length
时间窗: 7-day real world assessment
Stride length measured in the real world obtained from the Inertial Measurement Units placed on the lower back and the wrist measured in meters.
Walking speed
时间窗: 7-day real world assessment
Walking 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 duration
时间窗: 7-day real world assessment
Stride duration measured in the real world obtained from the Inertial Measurement Units placed on the lower back and the wrist measured in sec.
次要结局
- Daily steps(7-day real world assessment)
- Turning angle(7-day real world assessment)
- Sedentarism(7-day real world assessment)
研究者
Ioannis Vogiatzis
Professor of Rehabilitation Sciences
Northumbria University
