The Association Among Vitamin D status, Bone Geometry and Muscle Structure in 14 to 18 y Female Adolescents with Usual Intake of < 2 Servings of Milk and Alternatives per Day
Bibliographic record
Abstract
The associations among vitamin D status, based on serum 25‐hydroxyvitamin D (25OHD), and bone geometry and muscle structure in adolescents is under investigated. The objective was to explore the relationships among serum 25OHD and bone and muscle parameters of the lower leg and forearm in female adolescents with usual intake of < 2 servings of milk and alternatives per day. Healthy adolescents (14 to 18 y, n=50) from the Greater Montreal area participating in a trial (NCT02236871) were divided into three groups according to serum 25OHD level (<50, n=15; 50–74.9, n= 25; and ≥75 nmol/L, n=10) at baseline. Trabecular and cortical volumetric bone mineral density (vBMD), cortical thickness (CT) and bone area (BA) of the radius (4% and 66% sites), the tibia (4%, 38% and 66% sites) and muscle cross‐sectional area and density (66% sites) were obtained using peripheral quantitative computed tomography (pQCT, XCT‐2000; Stratec). Fasted venous blood was sampled to measure serum 25OHD concentration (Liaison, Diasorin). Lean mass and fat mass were acquired using dual‐energy X‐ray absorptiometry (DXA; Hologic Discovery QDR series). This was followed by standardized anthropometry, individual topological angle (ITA) as well as 24‐hour recall for dietary calcium, vitamin D, total energy and protein intake. All data reflect baseline only. Differences among 25OHD level groups for bone and muscle parameters were tested using mixed model ANOVA with post‐hoc Bonferroni adjustment. Data are presented as mean ± SD unless otherwise stated. Multivariate linear regression models, adjusting for age, height, fat mass, lean mass, ethnicity, skin color and vitamin D intake, were applied to evaluate the association between 25OHD and bone parameters. Participants (n= 50) had a mean age of 16.4 ± 1.5 y and a BMI of 21.7 ± 3.1 kg/m 2 (). No significant differences among the groups were obtained for any of the bone parameters except for trabecular vBMD at the 4% tibia, where the group with 25OHD levels of >75 nmol/L revealed greater vBMD values than the group with less than 50 nmol/L (). Muscle parameters did not differ among vitamin D status groups. After applying multivariate linear regression models, the association between 25OHD and bone parameters remained significant for trabecular vBMD of the 4% tibia (). Findings of this study support a beneficial role of vitamin D status in skeletal health of female youth. Further longitudinal studies are needed to determine whether changes in vitamin D status over time associates with peak bone mass. Support or Funding Information Supported by a contribution from the Dairy Research Cluster Initiative (Dairy Farmers of Canada, Agriculture and Agri‐food Canada, the Canadian Dairy Network and the Canadian Dairy Commission), Canada Foundation for Innovation and Canada Research Chairs Program Descriptive characteristics of the study population 25OHD Levels (nmol/L) Total Sample, n = 50 < 50, n =15Means ± SD 50 – 74.9, n = 25Means ± SD ≥ 75, n = 10Means ± SD 25OHD (nmol/L) 63.7 ± 27.8 38.9 ± 7.6 60.3 ± 6.4 109.2 ± 25.4 Age (y) 16.4 ± 1.5 16.6 ± 1.4 16.4 ± 1.7 16.1 ± 1.3 Ethnicity, white (%) 66 40 66.7 100 Height (cm) 165.0 ± 7.0 165.9 ± 7.1 164.0 ± 7.3 166.3 ± 6.3 Weight (kg) 60.7 ± 10.8 62.8 ± 12.6 58.8 ± 10.2 62.5 ± 9.9 BMI (kg/m 2 ) 22.2 ± 3.2 22.7 ± 3.5 21.8 ± 3.1 22.6 ± 3.1 Fat Mass (kg) 16.9 ± 5.6 18.0 ± 5.1 15.9 ± 5.6 17.7 ± 6.4 Lean Mass (kg) 42.5 ± 6.9 42.4 ± 7.8 40.6 ± 5.7 42.6 ± 4.7 Vitamin D Intake (IU/d) 108.7 ± 118.4 128.7 ± 106.1 133.6 ± 88.9 128.1 ± 95.2 Calcium Intake (mg/d) 741.4 ± 445.9 705.2 ± 469.6 727.5 ± 449.5 830.8 ± 435.0 Protein Intake (g/d) 73.3 ± 38.6 65.3 ± 36.1 77.8 ± 43.4 74.2 ± 30.4
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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 | 0.000 | 0.000 |
| 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) | 0.001 | 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".