Ambulatory Fall-Risk Assessment: Amount and Quality of Daily-Life Gait Predict Falls in Older Adults

Schooten, Kimberley S. van; Pijnappels, Mirjam; Rispens, Sietse M.; Elders, Petra; Lips, Paul; Dieën, Jaap H. van

doi:10.1093/gerona/glu225

Cited by 229 publications

(240 citation statements)

References 45 publications

Supporting

Mentioning

220

Contrasting

Unclassified

Order By: Relevance

“…<Table 1 -see end of document> Measurement of gait during free-living is difficult when using inertial sensor-based wearables only due to the lack of contextual information. Thus, initial work to quantify free-living gait started at low macro resolutions of 60-seconds [42], progressing to 10-seconds [43] ensuring, with a degree of certainty, that steady state gait was measured due to the cyclical nature of inertial gait signals.…”

Section: Activity Recognition: Macro and Micro Gaitmentioning

confidence: 99%

Wearables for independent living in older adults: Gait and falls

Godfrey

2017

Maturitas

View full text Add to dashboard Cite

Solutions are needed to satisfy care demands of older adults to live independently. Wearable technology (wearables) are one approach to offer a viable means for ubiquitous, sustainable and scalable monitoring in habitual free-living environments. Gait has been presented as a relevant (bio) marker in ageing and pathological studies, with objective assessment achievable by inertial-based wearables. Commercial wearables have struggled to provide accurate analytics and have been limited by non-clinically oriented gait outcomes. Moreover, some research grade wearables also fail to provide transparent functionality due to limitations in proprietary software. Innovation within this field is often sporadic with large heterogeneity of wearable types and algorithms for gait outcomes leading to a lack of pragmatic use. This review provides a summary of recent wearable gait assessment literature, focusing on the need for an algorithm fusion approach to measurement cumulating in the ability to better detect and classify falls. A brief presentation of wearables in one pathological group is presented, identifying appropriate work for researchers in other cohorts to utilise. Opportunities for how this domain needs to progress are also summarised. Highlights• Wearables can meet older adults' needs for independent living.• Gait assessment is a (bio)marker within ageing and different pathologies.• Measuring gait with wearables has been innovative but fraught with inconsistencies.

show abstract

Section: Activity Recognition: Macro and Micro Gaitmentioning

confidence: 99%

Wearables for independent living in older adults: Gait and falls

Godfrey

2017

Maturitas

View full text Add to dashboard Cite

show abstract

“…The HHS gives a more global assessment of the patient's functional status, and adding the HHS to the regression on the number of falls reported, led to 83% of the variance being accounted for. We were surprised to see such a high value (cf., Toebes et al, 2012;Van Schooten et al, 2015;Weiss et al, 2014). Unfortunately, however, our number of subjects was too small for HHS item-analysis, and we do not know which aspects of the HHS were most indicative of fall risk.…”

Section: Fall Predictionmentioning

confidence: 92%

Frontal plane kinematics in walking with moderate hip osteoarthritis: Stability and fall risk

Lin

Meijer

Lin

et al. 2015

Clinical Biomechanics

Self Cite

View full text Add to dashboard Cite

show abstract

“…These decreases are called geriatric syndromes and involve a number of aspects, among them loss of muscle strength, commonly managed from physical interventions achieving favorable results (4,5) . Discussions on the mechanisms of falls in the elderly encompass several aspects and there is evidence of reductions in strength in falling elderly, (6,7) condition possibly related to sarcopenia and reduction of gait velocity performance.…”

Section: Introductionmentioning

confidence: 99%

Effects of power training on quality of life and postural stability in elderly

Tolentino¹,

Soares²,

Venâncio³

et al. 2020

mtprehabjournal

View full text Add to dashboard Cite

Introduction:The muscular strength exercises can be an effective intervention to prevent falls and to favor the functional capacity (FC) in the elderly. However, few studies have reported the benefits of power training (PT) and the subjective perception of the elderly on these activities. Objective: to evaluate the repercussions of a power training protocol on functional capacity and subjective health parameters in the elderly. Method: It was a prospective study involving 48 elderly people. Two groups were composed: a power training group (PG) with 22 participants with a mean age of 68.14 (5.46) years and the control group (CG) was composed of 32 elderly individuals aged 68.03 (4.83) years. Health-related quality of life was measured from the Medical Outcomes Study 36 -Item Short-Form Health Survey (SF-36). The FC was measured by the Berg Balance and Time Up and Go tests. The PT was performed 2x/week, with duration of 50 min/session, for 14 weeks (first two weeks of adaptation; first six weeks 3X/10-15 repetitions of 40-50% of the Subjective Perceived Exertion (SPE) / 6 following weeks 3X/6-10 repetitions of 60-70% of the SPE). The CG performed rhythm activities with the same frequency and weekly duration. Result: It was observed favorable results in FC after 14 weeks of power training. There was also a positive evaluation of most sf-36 domains, with emphasis on physical and emotional aspects. However, the perception of the elderly in relation to the pain domain presented negative results. Conclusion: The PT positively influenced the FC, the physical and the emotional aspects of the elderly; negatively affected the pain and maintained the low risk of fall after 12 weeks of intervention, without presenting intercurrences during the intervention.

show abstract

Ambulatory Fall-Risk Assessment: Amount and Quality of Daily-Life Gait Predict Falls in Older Adults

Abstract: Daily-life accelerometry contributes substantially to the identification of individuals at risk of falls, and can predict falls in 6 months with good accuracy.

Cited by 229 publications

References 45 publications

Wearables for independent living in older adults: Gait and falls

Wearables for independent living in older adults: Gait and falls

Frontal plane kinematics in walking with moderate hip osteoarthritis: Stability and fall risk

Effects of power training on quality of life and postural stability in elderly

Contact Info

Product

Resources

About