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Record W4403614847 · doi:10.52403/ijhsr.20241032

A Study to Analyze the Relationship between Body Mass Index, Core Endurance and Flat Foot among College Students

2024· article· en· W4403614847 on OpenAlexaboutno aff
N. Nithya, Manoj Abraham Manoharlal, S. Rajalakshmi

Bibliographic record

VenueInternational Journal of Health Sciences and Research · 2024
Typearticle
Languageen
FieldComputer Science
TopicEducation and Learning Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineFoot (prosody)Core (optical fiber)Body mass indexIndex (typography)Physical therapyPhysical medicine and rehabilitationInternal medicineOptics

Abstract

fetched live from OpenAlex

Background: Flat foot, a common deformity which is mostly asymptomatic in adults is characterized by collapse of longitudinal medial arch, abduction of the forefoot, internal rotation and calcaneal eversion. Core endurance and Body mass index are two important factors which affect the quality and performance of standing body balance and walking. Aim: The aim of the study is to evaluate the relationship between Body Mass Index, Core endurance and Flat foot among college students. Materials & Methods: 85 students (32 males and 53 females) were selected for the study according to the selection criteria. Body mass index was calculated using Body Mass Index formulae, Core Endurance was assessed using Mc Gill’s core endurance test and Flat foot was assessed using Navicular Drop Test. The overall data was collected and taken for analysis. Results: The Pearson Correlation Coefficient is used to measure the strength of a linear association between two variables. The relationship between the flat foot and body mass index was correlated with an ‘r’ value of 0.53. The relationship between the flat foot and trunk flexor and extensor core endurance was correlated with an ‘r’ value of 0.32 and 0.008. Conclusion: There is a positive relationship between the flat foot and the body mass index, and also positive relationship between the flat foot and trunk flexor and extensor core endurance. Key words: Body Mass Index, Core endurance, Flat foot, Navicular drop test, McGill’s core endurance test.

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)0.010
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 score0.046
Threshold uncertainty score0.950

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.232
GPT teacher head0.548
Teacher spread0.315 · 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
Published2024
Admission routes1
Has abstractyes

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