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Record W4409914206 · doi:10.31459/turkjkin.1668942

Investigation of the relationship between core muscle endurance and postural habits and awareness in young adults

2025· article· en· W4409914206 on OpenAlexaboutno aff
Ayşe Yıldız, Ramazan Yıldız

Bibliographic record

VenueTurkish Journal of Kinesiology · 2025
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsCore (optical fiber)Physical medicine and rehabilitationPsychologyPhysical therapyMedicineEngineeringTelecommunications

Abstract

fetched live from OpenAlex

The study investigated the relationship between core muscle endurance, postural habit, and awareness in young adults. Healthy individuals between the ages of 18 and 25 with no back or neck disorders were included in the study. Postural habits and understanding of the participants were assessed using the Postural Habits and Awareness Scale (PHAS), and core muscle endurance was measured using the Mcgill Core Endurance Tests. As a result of the study, a significant positive correlation was found between postural habit score and trunk flexor test time (r = 0.324; p = 0.047), trunk extensor test time (r = 0.529; p = 0.001), side bridge test time (r = 0.337; p = 0.039) and plank test time (r = 0.508; p = 0.001). However, no significant relationship was found between postural awareness score and core muscle endurance (p > 0.05). The study findings reveal that core muscle endurance is related to postural habits but is not directly related to postural awareness. As a result, it was emphasized that core muscle endurance is an essential factor in developing and maintaining postural habits. These findings indicate that improving postural habits may be essential to support musculoskeletal health.

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)0.002
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 score0.012
Threshold uncertainty score0.190

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.030
GPT teacher head0.301
Teacher spread0.271 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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