Bone health and mineral metabolism in 14- to 18-year-old adolescents with usual low intake of milk products: implications of micronutrient intakes and response to a motivational interviewing dietary intervention trial
Bibliographic record
Abstract
Background: Maximizing peak bone mass during growth is an important strategy to prevent osteoporosis. To date, only 5 trials assessed bone health during adolescence; none were Canadian or included males. This dissertation aimed to: (1) assess the nutritional adequacy of bone-relevant nutrients in adolescents with low habitual intakes of MILK and to evaluate the relationship between intakes and bone density and serum biomarkers; (2) test the effect of increased MILK intake on changes in bone density in adolescents with usual MILK intake of < 2 servings per day; and (3) determine whether pentadecanoic acid (C15:0) and heptadecanoic acid (C17:0) can serve as biomarkers of compliance of milk intake. Design: Data are from the 1-year end-point from the Family Milk Product 2-Year dose-response study, a 2-year randomized controlled trial that took place in Montreal, QC. Eligibility included healthy adolescents 14-18.9 y who consumed < 2 servings of MILK/d, with a healthy body mass index (BMI), and no vitamin D deficiency or anemia. Adolescents (n=94) were randomized to 3 groups: control, Improved (IInt: consumed 3 MILK servings/d); or Recommended (RInt: consumed ≥ 4 servings/d). Visits occurred every 6 months (mo). Motivational interviewing technique was used to improve MILK intake and to optimize adherence. Bone outcomes were assessed by dual-energy X-ray absorptiometry and by peripheral quantitative computed tomography. Dietary intake was assessed by 24 h food recalls and a validated semi-quantitative, food-frequency questionnaire (FFQ). Physical activity (PA) was assessed using the Youth Physical Activity Questionnaire. C15:0 and C17:0 were measured in erythrocytes and plasma to assess compliance to the MILK intervention at 6 and 12 mo. Results: (Objective 1) Eighty-one adolescents (55 females and 26 males, 16.5 ± 1.6 y) were included. None of the participants met the Estimated Average Requirements (EAR) for potassium or vitamin D. In males, less than 30% met the EAR for calcium and 23% for magnesium. In females, 15% met the EAR for calcium and magnesium and 40% for phosphorus. FFQ data revealed significant positive associations between fluid milk and WB BMDZ; total MILK with trabecular density; fluid milk with tibia cortical thickness; and fluid milk and yogurt with bone turnover markers, after adjustment for covariates. (Objective 2) Ninety-four teens 14-18 y were recruited with a BMI z-score of 0.3 ± 0.9. At baseline, there were no differences in MILK intake among study groups, stratified by sex. At 12 mo, WB BMC and BMDZ and TH BMD and BMDZ significantly increased in the female RInt group (p<0.03) and greater percentage increases in WB BMC and WB and TH BMD were observed compared to control and IInt groups (p<0.05). Intervention effects on DXA outcomes were not significant in males. Furthermore, females in RInt and control groups increased radial trabecular area and cortical density at 66% radius and 38% tibia (p<0.02); males in the RInt group significantly increased tibial cortical density at 38% (p=0.02). However, intervention effects on pQCT outcomes, bone biomarkers and body composition were not significant in either sex. (Objective 3) At 12 mo, erythrocyte C15:0 increased in RInt group (+0.37 µg/ml, p=0.01). MILK intake improved significantly in both intervention groups from baseline to 12 mo (IInt: 1.65±1.53 vs 3.0±1.60 servings/d; RInt: 1.3±1.0 vs 3.7±1.0 servings/d, respectively). Further, MILK intake positively correlated with erythrocyte C15:0 and C17:0 at 12 mo. Conclusion: Increasing MILK intake may improve the adequacy of certain nutrients and thus bone health and metabolism in post-pubertal adolescents, specifically females with low habitual calcium intake. Further, erythrocyte C15:0 can detect short and longer-term MILK intakes during adolescence.
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 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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".