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Record W3023409931 · doi:10.1177/2325967120s00238

STUDY OF NORMAL VALUES OF PROPRIOCEPTION BASED ON AGE

2020· article· en· W3023409931 on OpenAlexaff
Marie‐Lyne Nault, Olivier Chémaly, Guy Grimard, Marie-Pier Trottier, Xue Wei Tan

Bibliographic record

VenueOrthopaedic Journal of Sports Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsUniversité de MontréalHôpital du Sacré-Cœur de MontréalCentre Hospitalier Universitaire Sainte-JustineShriners Hospitals for Children - Canada
Fundersnot available
KeywordsProprioceptionMedicinePhysical medicine and rehabilitationPhysical therapyBalance (ability)PopulationObservational studyCohortInclusion and exclusion criteria

Abstract

fetched live from OpenAlex

Background: Proprioception is an important function which allows the brain to perceive the body’s position. It is a safety mechanism aiding the generation of movements to correct and maintain balance. During a return to sports for adults, it is essential to have a good postural control. However, this requirement is applied subjectively in a pediatric setting. The Biodex Stability System (BSS) is a validated instrument capable of evaluating proprioception by producing stability indexes. Unfortunately, the stability indexes for a healthy pediatric population and the associated characteristics have not yet been determined. Purpose: The primary objective was to establish normal pediatric values of proprioception using the BSS. The secondary objectives were to find correlations between various subgroups (sex, physical activity participation and joint laxity, etc) and the stability indexes. Methods: An observational cohort study was done. Patients from July 2018 to September 2018 were included from the facture clinic. Inclusion/exclusion criteria were: (1) a consolidated upper limb fracture, (2) no previous history of lower limb injury, (3) no congenital anomalies of the lower limb or neuromuscular disease. Included subjects underwent 3 test trials of 20 seconds each of single-leg shoeless postural control with eyes open and at a stability level of 4. The overall stability index (OSI), anteroposterior stability index (APSI) and mediolateral stability index (MLSI) were noted. The protocol was conducted on both legs. Kolmogorov-Smirnov test will be used for the primary objective and, Pearson correlation for secondary objective. Results: Seventy-one participants (29 girls and 42 boys) with a mean age of 12.75±2.2 years old and a mean Beighton laxity score of 2.5±2.5 were recruited. The mean left OSI is 4.4±3.1 and the mean right OSI is 4.5±3.3. When comparing the subgroups, we were able to find correlations between the body mass index (BMI) and the OSI for both legs (left: r= 0.312, p = 0.008; right: r= 0.437, p = 0.001). We did not find any other correlations for any other groups (sex, age and Beighton score). Conclusion: A larger sample size will be needed to establish normal values based on sex and skeletal maturity but a mean value for OSI for a normal pediatric population was established. This study illustrates that, in our pediatric population, an increase in BMI is associated with an increase in OSI. Therefore, children with a higher BMI could potentially benefit from a proprioception training program in order to prevent the occurrence of injuries.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.278
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2020
Admission routes1
Has abstractyes

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