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DOES SPORTS TRAINING DURING CHILDHOOD COMPROMISE ADULT STATURE?

2002· article· en· W2022760301 on OpenAlexaff
Adam Baxter‐Jones, Robert L. Mirwald, D. A. Bailey, Nicola Maffulli, P Helms

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2002
Typearticle
Languageen
FieldMedicine
TopicSports Performance and Training
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsAthletesAnthropometryMedicineCohortDemographyConfoundingIdiopathic short statureCohort studyPhysical therapyPsychologyGrowth hormone

Abstract

fetched live from OpenAlex

Previous reports have highlighted potential harmful effects of intensive physical training on the growing female athlete. The primary concern being that training may retard pubertal development and growth. We have recently obtained adult stature measures for a cohort of young athletes who were annually assessed during their growing years. PURPOSE: To compare the development of stature in athletes and non-athletes followed from childhood through to adulthood and to investigate the confounding effect of pubertal development. METHODS: Children were drawn from the Training of Young Athletes (TOYA) Study, a UK longitudinal study that ran from 1987 through to 1992. The initial cohort consisted of 81 gymnasts, 60 swimmers and 81 tennis players (entry age range 8 to 16 years). Anthropometric values were measured annually. Adult stature was obtained from a postal questionnaire, which was completed in the fall of 2000. Adult stature was obtained for 38 gymnasts, 35 swimmers and 39 tennis players and this data is presented here. 56 non-athlete girls from the Chard Growth Study (UK) (1982 to 1987; age at entry 9 years) were used as a reference sample. Height values were converted to a standardized Z score scale (Child Growth Foundation (UK) Growth Charts). Pubertal development was assessed using stages of breast development. Data were analysed cross-sectionally by chronological age and longitudinally using a multilevel regression modeling approach. RESULTS: At 13 years of age gymnasts height Z scores (−0.6 SD 1.1) were significantly lower than swimmers (0.4 SD 1.1), tennis players (0.6 SD 1.1) and non-athletes (0.1 SD 0.9) (p > 0.05). All adult Z scores were positive: gymnasts (0.2 SD 1.0), swimmers (0.5 SD 1.1) and tennis players (0.7 SD 1.3) but were not significantly different (p < 0.05). In the multilevel model, when the confounders of age and sports group were controlled, breast stage was found to be a significant independent predictor of height (2.1 cm SEE 0.01 cm) (p < 0.05). CONCLUSION: These results suggest that pubertal development occurs later in gymnasts than the other groups but that final adult stature is not compromised.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.258
Teacher spread0.243 · 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 source (direct Gemma or distilled Codex), 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
Published2002
Admission routes1
Has abstractyes

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