THE RELATIONSHIP BETWEEN PHYSICAL ACTIVITY, COL1A1 GENOTYPE AND PROXIMAL FEMUR BONE MASS IN CHILDREN
Bibliographic record
Abstract
INTRODUCTION Bone strength is a function of both the bone mineral content (BMC) and the collagen fraction of bone. In response to physical activity (PA) bone increases strength through changes in BMC. It has previously been shown that Collagen Type I,α- 1(COL1A1) Ss/ss genotype are associated with low bone yield strength. PURPOSE To determine the association between proximal femur (PF) BMC, PA and COL1A1 genotype in boys and girls. METHODS Subjects were 162 boys and 158 girls (10.35±0.65 y). Leg length was assessed by standard techniques. PF and femoral neck (FN) BMC and FN areal bone miberal density (aBMD) were determined with a QDR 4500 densitometer (Hologic Inc). Maturity was self-assessed by Tanner staging and PA was assessed by questionnaire (PAQ-C). Total body (TB) lean (LM) and fat mass (FM) were evaluated from the TB scans. COL1A1 genotype was determined using a TaqMan (PE Biosystems) procedure. We used ANCOVA to evaluate the relationship between PF and FN bone mass and PA or COL1A1 genotype with LM, FM, leg length, age and maturity controlled. RESULTS We showed a positive relationship in boys between PA with PF, FN BMC and FN aBMD and PA with FN aBMD in girls. There was a mean difference in PF bone mass between the 1st and 5th quintiles of PA of 4–6%(p = 0.013–0.034). Boys with the Ss/ss COL1A1 genotype had a 4.8% greater FN BMC than those with an SS genotype. A similar trend was observed for total PF BMC (NS). An interaction between PA and COL1A1 genotype was a significant predictor of FN aBMD in girls (p = 0.05). COL1A1 genotype was not an independent predictor of FN aBMD in girls, however, when the PA by COL1A1 genotype interaction term was, girls with the Ss/ss COL1A1 genotype had an 4% greater FN aBMD than those with the SS genotype (p = 0.012). CONCLUSION In children PF bone mass was higher in those with the COL1A1 Ss/ss allele. Increased bone mass in these children may be a compensatory mechanism to the established relationship between decreased bone strength (due to collagen fibril weakness in bone tissue) and the presence of the COL1A1 ‘s’ allele.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".