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Record W7084747378 · doi:10.82161/0wnd-m970

Anticipatory Postural Adjustments in Children:A Systematic Review

2025· other· en· W7084747378 on OpenAlexaboutno aff

Bibliographic record

VenueWorld Physiotherapy Congress Archive · 2025
Typeother
Languageen
FieldComputer Science
TopicEnergy Efficient Wireless Sensor Networks
Canadian institutionsnot available
Fundersnot available
KeywordsElectromyographyCerebral palsyAutism spectrum disorderTypically developingPsychomotor learningCenter of pressure (fluid mechanics)SittingRehabilitationAutism

Abstract

fetched live from OpenAlex

Despite differing underlying mechanisms, the large effect sizes shared challenges in APAs among these groups, suggesting potential for common therapeutic approaches, such as task-specific training, to address APAs deficits across diverse populations. This study aimed to review previous studies on APAs in children, particularly focusing on muscle activation and center of pressure (COP) as key variables. Databases searched included PubMed, Scopus, and Google scholar. Inclusion criteria encompassed studies investigating APAs in children aged 3 to 18 years. Data extraction focused on temporal and quantitative parameters from force-plate and electromyography (EMG) measurements. Assessment of study quality was using the Newcastle Ottawa Scale (NOS). Data were meta-analyzed if studies employed similar measurements; otherwise, the results were reviewed narratively. Fifty studies were included, with 46 focusing on typical development (TD) children and 29 on children with special health need conditions, including cerebral palsy (CP) (15 studies), developmental coordination disorder (DCD) (5 studies), autism spectrum disorder (ASD) (5 studies) and others (4 studies). Most studies utilized force-plate (31 studies) and EMG (29 studies) measurements.Although the APAs period's end was consistently defined as 50 ms after the initiation of focal movement, onset latencies varied by task. For example, APAs onset ranged from 100 ms before focal movement initiation during forearm reaching in sitting to 150 ms for a single-leg task. Developmentally, muscle onset latencies begin around ages 3-4, with latencies occurring approximately 500 ms before gait initiation and single-leg stance. As age increases, onset latencies progressively occur earlier, but those aged 14-16 haven’t yet reached adult-like latencies.Moreover, increased task difficulty corresponded with greater peak COP displacement and muscle activation amplitudes during APAs in TD children. For instance, in load lifting, COP peak displacement increased from 10.8% to 15.65% foot length under light and heavy conditions. Muscle activity also intensified, with medial hamstring activation rising from 700% to 1000% baseline under different loads. Compared to TD children, the results show delayed postural muscle onsets in children with DCD in the contralateral external oblique in goal-directed reaching and single-leg tasks in standing (SMD = 1.77, 95% CI [0.82, 2.71]), and in children with CP in the erector spinae during standing task (load lifting, catching and bilateral arm flexion) (SMD = 0.77, 95% CI [0.19, 1.36]). In the bimanual load lifting task in sitting, delayed postural muscle inhibition onsets in children with DCD in the brachioradialis (SMD = 0.99, 95% CI [0.47, 1.52]) compared with TD children. This review reconfirms APAs maturation is a gradual process extending into late adolescence, with children diagnosed with DCD, CP, and ASD experiencing significant delays However, the heterogeneity of the included studies limits the generalizability of these findings.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.739
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.005
GPT teacher head0.265
Teacher spread0.260 · 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 teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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