Evidence map›Paper›PMID 33782636›Full record

ArticleThe EPMA journal2021

Cultural bias in motor function patterns: Potential relevance for predictive, preventive, and personalized medicine.

Karen Otte, Tobias Ellermeyer, Masahide Suzuki, Hanna M Röhling, Ryota Kuroiwa, Graham Cooper, Sebastian Mansow-Model, Masahiro Mori, Hanna Zimmermann, Alexander U Brandt and 4 more

Open access · hybridAbstract read
In one paragraph

Article in The EPMA journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. RGB-Depth Camera-Based Assessment of Motor Capacity: Normative Data for Six Standardized Motor Tasks.International journal of environmental research and public health · 2022
    Article
  3. Article
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

14 authors at 5 institutions in 3 countries.

Karen OtteExperimental and Clinical Research Center, Charité - Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health and Max Delbrück Center for Molecular Medicine, Lindenberger Weg 80, 113125 Berlin, Germany.
Tobias EllermeyerExperimental and Clinical Research Center, Charité - Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health and Max Delbrück Center for Molecular Medicine, Lindenberger Weg 80, 113125 Berlin, Germany.
Masahide SuzukiDepartment of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan.
Hanna M RöhlingExperimental and Clinical Research Center, Charité - Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health and Max Delbrück Center for Molecular Medicine, Lindenberger Weg 80, 113125 Berlin, Germany.
Ryota KuroiwaDivision of Rehabilitation Medicine, Chiba University Hospital, Chiba, Japan.
Graham CooperExperimental and Clinical Research Center, Charité - Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health and Max Delbrück Center for Molecular Medicine, Lindenberger Weg 80, 113125 Berlin, Germany.
Sebastian Mansow-ModelMotognosis GmbH, Berlin, Germany.
Masahiro MoriDepartment of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan.
Hanna ZimmermannExperimental and Clinical Research Center, Charité - Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health and Max Delbrück Center for Molecular Medicine, Lindenberger Weg 80, 113125 Berlin, Germany.
Alexander U BrandtExperimental and Clinical Research Center, Charité - Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health and Max Delbrück Center for Molecular Medicine, Lindenberger Weg 80, 113125 Berlin, Germany.
Friedemann PaulExperimental and Clinical Research Center, Charité - Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health and Max Delbrück Center for Molecular Medicine, Lindenberger Weg 80, 113125 Berlin, Germany.
Shigeki HiranoDepartment of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan.
Satoshi KuwabaraDepartment of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan.
Tanja Schmitz-HübschExperimental and Clinical Research Center, Charité - Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health and Max Delbrück Center for Molecular Medicine, Lindenberger Weg 80, 113125 Berlin, Germany.ORCID 0000-0003-4833-5937
Max Delbrück Center · DEChiba University · JPChiba University Hospital · JPPathodiagnostik Berlin · DEUniversity of California, Irvine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuantification of motor performance has a promising role in personalized medicine by diagnosing and monitoring, e.g. neurodegenerative diseases or health problems related to aging. New motion assessment technologies can evolve into patient-centered eHealth applications on a global scale to support personalized healthcare as well as treatment of disease. However, uncertainty remains on the limits of generalizability of such data, which is relevant specifically for preventive or predictive applications, using normative datasets to screen for incipient disease manifestations or indicators of individual risks.

objectiveThis study explored differences between healthy German and Japanese adults in the performance of a short set of six motor tests.

methodsSix motor tasks related to gait and balance were recorded with a validated 3D camera system. Twenty-five healthy adults from Chiba, Japan, participated in this study and were matched for age, sex, and BMI to a sample of 25 healthy adults from Berlin, Germany. Recordings used the same technical setup and standard instructions and were supervised by the same experienced operator. Differences in motor performance were analyzed using multiple linear regressions models, adjusted for differences in body stature.

resultsFrom 23 presented parameters, five showed group-related differences after adjustment for height and weight (

conclusionsOur results support the existence of a population-specific bias in motor function patterns in young healthy adults. This needs to be considered when motor function is assessed and used for clinical decisions, especially for personalized predictive and preventive medical purposes. The bias affected only the performance of specific items and parameters and is not fully explained by population-specific ethnic differences in body stature. It may be partially explained as cultural bias related to motor habits. Observed effects were small but are expected to be larger in a non-controlled cross-cultural application of motion assessment technologies with relevance for related algorithms that are being developed and used for data processing. In sum, the interpretation of individual data should be related to appropriate population-specific or even better personalized normative values to yield its full potential and avoid misinterpretation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13167-021-00236-3.

Indexed as

BalanceBMICultural biasGait analysisMotion captureMotor biomarkerNeurodegenerative disordersPersonalized monitoringPosturographyPredictive preventive personalized medicine (PPPM/3PM)Risk assessmentSub-optimal health

Identifiers

PMID33782636
PMCPMC7954970
OpenAlexW3133919972

What OpenQuestion holds

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LicenceCC BY
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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.