Evidence map›Paper›PMID 35321645›Full record

ArticleBMC geriatrics2022

Kinematic analysis of activities of daily living performance in frail elderly.

Stephanie Schmidle, Philipp Gulde, Sophie Herdegen, Georg-Eike Böhme, Joachim Hermsdörfer

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

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  4. Discordance Between Self-Report and Performance-Based Measures Among At-Risk Older Adults: A Secondary Data Analysis.The American journal of occupational therapy : official publication of the American Occupational Therapy Association · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Stephanie SchmidleHuman Movement Science, Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany. stephanie.schmidle@tum.de.
Philipp GuldeHuman Movement Science, Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany.
Sophie HerdegenHuman Movement Science, Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany.
Georg-Eike BöhmeLehelmed GmbH General Practitioners Lehel and Medical Center Motorworld, Munich, Germany.
Joachim HermsdörferHuman Movement Science, Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany.
Technical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFrailty is accompanied by limitations of activities of daily living (ADL) and frequently associated with reduced quality of life, institutionalization, and higher health care costs. Despite the importance of ADL performance for the consequence of frailty, movement analyses based on kinematic markers during the performance of complex upper extremity-based manual ADL tasks in frail elderly is still pending. The main objective of this study was to evaluate if ADL task performance of two different tasks in frail elderlies can be assessed by an activity measurement based on an acceleration sensor integrated into a smartwatch, and further to what degree kinematic parameters would be task independent.

methodsADL data was obtained from twenty-seven elderly participants (mean age 81.6 ± 7.0 years) who performed two ADL tasks. Acceleration data of the dominant hand was collected using a smartwatch. Participants were split up in three groups, F (frail, n = 6), P (pre-frail, n = 13) and R (robust, n = 8) according to a frailty screening. A variety of kinematic measures were calculated from the vector product reflecting activity, agility, smoothness, energy, and intensity.

resultsMeasures of agility, smoothness, and intensity revealed significant differences between the groups (effect sizes combined over tasks η

conclusionThe results demonstrate that ADL task performance can be assessed by smartwatch-based measures and further shows task-independent differences between the three levels of frailty. From the pattern of impaired and preserved performance parameters across the tested tasks, we concluded that in persons with frailty ADL performance was more impaired by physiological deficiencies, i.e., physical power and endurance, than by cognitive functioning or sensorimotor control.

Indexed as

Activities of Daily LivingFrailtyAgedAged, 80 and overFrail ElderlyGeriatric AssessmentHumansQuality of LifeReproducibility of ResultsAccelerometryActivities of Daily LivingFrailtyKinematic AnalysisWearables

Identifiers

PMID35321645
PMCPMC8943928
OpenAlexW4221044194

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.