TURN-IT: a novel turning intervention program to improve quality of turning in daily life in people with Parkinson’s disease

King, Laurie A.; Carlson‐Kuhta, Patricia; Wilhelm, JL; Lapidus, JA; Dale, ML; Talman, LS; Barlow, Nancy N.; Mancini, Martina; Horák, F

doi:10.1186/s12883-022-02934-5

Cited by 4 publications

(1 citation statement)

References 58 publications

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“…This prevalence of transient behavior highlights the importance of studying all types of human movement that can be observed in the real world, particularly for health and mobility. For example, LA King et al leveraged the importance of turns and the potential risks associated for people with Parkinson's Disease when turning (King et al 2022).…”

Section: Steady-state Walking In the Real Worldmentioning

confidence: 99%

Understanding the Influence of Context on Real-World Walking Energetics

Baroudi

Barton

Cain

et al. 2023

Preprint

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Speeds that minimize energetic cost during steady-state walking have been observed during lab-based investigations of walking biomechanics and energetics. However, in real-world scenarios, humans walk in various contexts that elicit different walking strategies, which may not always prioritize minimizing energetic cost. To investigate whether individuals tend to select energetically optimal speeds in real-world situations and how contextual factors influence gait, we conducted a study combining data from lab and real-world experiments. Walking kinematics and context were measured during daily life over a week (N = 17) using wearable sensors and a mobile phone. To determine context, we utilized self-reported activity logs, GPS data, and follow-up exit interviews. Additionally, we estimated energetic cost using respirometry over a range of gait speeds in the lab. Cost of transport during these trials was used to identify an energetically optimal walking speed range for each participant. The proportion of real world steady-state stride speeds within this range was identified for all data and for each context. We found that participants walked significantly faster than what was energetically optimal, and the proportion of steady-state strides within the energetically optimal speed range was dependent on the context. On average, 45.6% of all steady-state stride speeds were energetically optimal across all contexts for all participants. These results suggest that while energetic cost is a factor considered by humans when selecting gait speed in daily life, it is not the sole determining factor. Context contributes to the observed variability in movement parameters both within and between individuals.

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Section: Steady-state Walking In the Real Worldmentioning

confidence: 99%

Understanding the Influence of Context on Real-World Walking Energetics

Baroudi

Barton

Cain

et al. 2023

Preprint

View full text Add to dashboard Cite

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Quantifying Turning Tasks With Wearable Sensors: A Reliability Assessment

Weston,

Antonellis,

Fino

et al. 2023

Physical Therapy

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Objective The aim of this study was to establish the test–retest reliability of metrics obtained from wearable inertial sensors that reflect turning performance during tasks designed to imitate various turns in daily activity. Methods Seventy-one adults who were healthy completed 3 turning tasks: a 1-minute walk along a 6-m walkway, a modified Illinois Agility Test (mIAT), and a complex turning course (CTC). Peak axial turning and rotational velocity (yaw angular velocity) were extracted from wearable inertial sensors on the head, trunk, and lumbar spine. ICCs were established to assess the test–retest reliability of average peak turning speed for each task. Lap time was collected for reliability analysis as well. Results Turning speed across all tasks demonstrated good to excellent reliability, with the highest reliability noted for the CTC (45-degree turns: ICC = 0.73–0.81; 90-degree turns: ICC = 0.71–0.83; and 135-degree turns: ICC = 0.72–0.80). The reliability of turning speed during 180-degree turns from the 1-minute walk was consistent across all body segments (ICC = 0.74–0.76). mIAT reliability ranged from fair to excellent (end turns: ICC = 0.52–0.72; mid turns: ICC = 0.50–0.56; and slalom turns: ICC = 0.66–0.84). The CTC average lap time demonstrated good test–retest reliability (ICC = 0.69), and the mIAT average lap time test–retest reliability was excellent (ICC = 0.91). Conclusions Turning speed measured by inertial sensors is a reliable outcome across a variety of ecologically valid turning tasks that can be easily tested in a clinical environment. Impact Turning performance is a reliable and important measure that should be included in clinical assessments and clinical trials.

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Understanding the influence of context on real-world walking energetics

Baroudi,

Barton,

Cain

et al. 2024

Journal of Experimental Biology

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Speeds that minimize energetic cost during steady-state walking have been observed during lab-based investigations of walking biomechanics and energetics. However, in real-world scenarios, humans walk in a variety of contexts that can elicit different walking strategies, and may not always prioritize minimizing energetic cost. To investigate whether individuals tend to select energetically optimal speeds in real-world situations and how contextual factors influence gait, we conducted a study combining data from lab and real-world experiments. Walking kinematics and context were measured during daily life over a week (N=17) using wearable sensors and a mobile phone. To determine context, we utilized self-reported activity logs, GPS data and follow-up exit interviews. Additionally, we estimated energetic cost using respirometry over a range of gait speeds in the lab. Gross and net cost of transport were calculated for each participant, and were used to identify energetically optimal walking speed ranges for each participant. The proportion of real-world steady-state stride speeds within these ranges (gross and net) were identified for all data and for each context. We found that energetically optimal speeds predicted by gross cost of transport were more predictive of walking speeds used during daily life than speeds that would minimize net cost of transport. On average, 82.2% of all steady-state stride speeds were energetically optimal for gross cost of transport for all contexts and participants, while only 45.6% were energetically optimal for net cost of transport. These results suggest that while energetic cost is a factor considered by humans when selecting gait speed in daily life, it is not the sole determining factor. Context contributes to the observed variability in movement parameters both within and between individuals.

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TURN-IT: a novel turning intervention program to improve quality of turning in daily life in people with Parkinson’s disease

Cited by 4 publications

References 58 publications

Understanding the Influence of Context on Real-World Walking Energetics

Understanding the Influence of Context on Real-World Walking Energetics

Quantifying Turning Tasks With Wearable Sensors: A Reliability Assessment

Understanding the influence of context on real-world walking energetics

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