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Record W4241211505 · doi:10.4324/9780203404584-92

CHAPTER NUMBER 51

2013· book-chapter· en· W4241211505 on OpenAlexaboutno aff
M.C. Erlandson S.A. Jackowski

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldMedicine
TopicHypothalamic control of reproductive hormones
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

The amount of bone gained during childhood and adolescence impacts greatly on lifetime skeletal health and it is well accepted that physical activity during growth increases bone acquisition. Gymnastics training results in unique high mechanical loading to the skeleton and therefore, provides an excellent model for assessing the effects of weight-bearing physical activity on bone development (Daly et al., 1999). Young recreational gymnasts experience loads up to 3-10 times that of body weight on their feet and hands. Previous studies in young adolescent competitive female gymnasts have shown that they have 8-23% areal bone mineral density (aBMD, cm/g2), at the total body, lumbar spine and hip (Laing et al., 2002; Faulkner et al., 2003; Erlandson et al., 2011a). It is often presumed that higher the aBMD or BMC translates to greater bone strength but when estimating whole bone strength (resistance to fracture) it is important to assess bone size and geometry in addition to parameters charactering bone mass and areal density (Kontulainen et al., 2007). Therefore, it is important to assess the geometrical indices of bone and not simply aBMD or BMC. Peripheral quantitative computed tomography (pQCT) is a novel technology that is able to measure bone cross sectional properties in three dimensions. It has been recently observed that early recreational and precompetitive gymnastic participation may confer 6-25% greater adjusted bone strength, as assessed by pQCT, at the distal radius compared to individuals not involved in gymnastic training (Erlandson et al., 2011b). What remain unsubstantiated are the long term effects of early recreational gymnastics on the development of childhood bone strength. Therefore, the primary purpose of thisstudy was to investigate whether gymnastics exposure was associated with estimated bone strength development derived from pQCT at the distal radius in young males and females. 51.2 METHODS Participants were drawn from the University of Saskatchewan’s Young Recreational Gymnast Study. This cohort consists of 178 children recruited into a mix-longitudinal study examining the influence of early life gymnastic participation on bone development (2006-2012; Erlandson et al., 2011a). pQCT scan were implemented into the study in 2008 and by 2012, there were 3 years of pQCT data collected in children between 4 and 10 years of age. The gymnasts consisted of individuals who were participating in recreation and/or precompetitive gymnastics programmes at one of three competitive gymnastics clubs in Saskatoon. The non-gymnastic controls were individuals recruited from other local recreational sport programmes and camps (soccer, T-ball, basketball and karate). Participants were excluded from the current study if they had any condition that prevented them from performing exercise safely, had any condition known to affect bone development, or did not have a valid distal radius scan at two or more assessment occasions. This resulted in the inclusion of 126 participants (58 males, 68 females) consisting of 75 gymnasts (35 males, 40 females) and 51 non gymnasts (23 males, 28 females). Consent was obtained from all parents and/or guardians and verbal assent was obtained from all children. All procedures and protocols were approved by the Biomedical Research Ethics Board at the University of Saskatchewan.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.910
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.1170.054

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 head0.022
GPT teacher head0.246
Teacher spread0.224 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2013
Admission routes1
Has abstractyes

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