Correlation between Static Balance and Core Endurance among College Student with Forward Head Posture
Bibliographic record
Abstract
Background: Proper posture is considered to be a state of musculoskeletal balance that involves a minimal amount of stress or strain to the body. When the head is held forward in relation to the trunk, the alignment is said to be poor and is referred as, ‘forward head posture’ (FHP). If abnormal posture persists for a long time, it compromises balance because of muscular imbalance which can cause loss of proprioception sense in joint and decreased balance, and trunk endurance is significantly reduced in FHP and may lead to poor muscular control of the spine. Purpose: To find the correlation between the core muscle endurance and balance among college student with forward head posture. Methodology: A cross-sectional observational study was conducted in a tertiary care hospital. 25 healthy college student individuals within the age group of 18-30 years having forward head posture were taken. FHP was assessed by craniovertebral angle. Trunk endurance was measured by McGill core endurance test and static balance was assessed by standing stork test. Results: Karl Pearson’s correlation coefficient test was used to find the correlation between Trunk muscle endurance and static balance. Strong positive correlation was found which was statistically significant between trunk flexor endurance, trunk extensor endurance, right lateral endurance, left lateral endurance, and static balance. Conclusion: Among college students with FHP decreased core endurance can affect the static balance. Keywords: forward head posture, core endurance, static balance.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".