Young Adults’ Perceptions of Calcium Intake and Health: A Qualitative Study
Bibliographic record
Abstract
Many young Canadian adults are not meeting dietary calcium recommendations. This is concerning as adequate calcium is important throughout young adulthood to maximize peak bone mass for osteoporosis prevention. There are limited studies that have explored young adults' perceptions toward calcium and health. Our objectives were to determine young adults' (18-34 years) knowledge of calcium in relation to health, facilitators and barriers to adequate calcium intake, and to explore both their suggestions for individual strategies to increase calcium intake and ways to communicate calcium-related messaging to this population. Eight gender-specific focus groups (18 men; 35 women) were conducted using a semistructured interview guide, guided by social cognitive theory. Deductive thematic analysis was used to generate themes. Participants perceived adequate calcium intake to be important for children and older adults but were uncertain of the benefits for their own age group. Perceived positive outcomes (e.g., aesthetics such as strong nails) associated with adequate calcium intake were cited as a motivator to increase intake. Perceived barriers to achieving increased calcium intake included the high cost and inconvenience of milk products and negative practices of dairy farmers. Participants suggested planning healthy well-balanced meals and forming a habit of consuming calcium-rich foods as individual strategies to increase calcium intake. Strategies to convey calcium-related information to young adults included increasing awareness of the importance of calcium via credible sources of information and developing nutrition education curricula. Social media and advertising were perceived as ineffective. Our findings provide key information for nutrition education initiatives.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".