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Record W4389778692 · doi:10.1111/cch.13216

Occupational performance and participation in children with developmental coordination disorders before and during Covid‐19

2023· article· en· W4389778692 on OpenAlexaboutno aff
Zeynep Kolit, Ege Temizkan, Özgün Kaya Kara, Koray Kara, Sedef Şahın

Bibliographic record

VenueChild Care Health and Development · 2023
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsnot available
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)Occupational therapyRehabilitationPsychologyPandemicMedicineClinical psychologyPhysical therapyPsychiatry

Abstract

fetched live from OpenAlex

INTRODUCTION: Developmental coordination disorder (DCD) is a neurodevelopmental disorder that affects children's occupational performance and participation. It is known that the Covid pandemic has adversely affected the whole world in many areas. We aim to investigate the occupational performance and participation of children with DCD before and during the COVID-19. METHODS: Sixty-five children aged 5-12 years included in the study were assessed by the Canadian Measure of Occupational Performance and the Participation and Environment Measure for Children and Youth. RESULTS: Statistically significant differences were detected in occupational performance and satisfaction scores (p < 0.01). Additionally, except for 'involvement in the home environment' (p > 0.05), there were statistically significant differences in all other areas of participation (p < 0.01). CONCLUSION: The occupational performance and participation of children with DCD are impacted during COVID-19. In addition, it is seen that the desire of families to change regarding participation has increased due to COVID-19. It would be beneficial to include strategies to improve these areas in the rehabilitation processes.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.164
Threshold uncertainty score0.702

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.295
Teacher spread0.282 · 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.

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".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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