Strategies for public health initiatives targeting dairy consumption in young children: a qualitative formative investigation of parent perceptions
Bibliographic record
Abstract
OBJECTIVE: Dairy products contain essential nutrients to ensure healthy growth and bone development in children. However, a significant proportion of children in developed countries fail to consume the daily recommended intake of dairy products. Parents are the gatekeepers of familial nutritional intake and represent a potential vehicle through which to increase dairy consumption in children. As such, formative research was conducted to gain insight into parents' perceived barriers to and benefits of purchasing and consuming dairy products and to develop innovative message content that could be utilized in future public health campaigns. DESIGN: Seven in-depth group interviews were conducted in two phases between February and May 2015. SETTING: Interviews were conducted in local recreational centres and libraries in British Columbia, Canada. SUBJECTS: Mothers (n 21, mean age 38 (sd 5) years) and fathers (n 9, mean age 38 (sd 3) years) of children aged 4-10 years. RESULTS: Parents perceived both positive and negative physical outcomes associated with consuming dairy. Lack of trustworthy information was a frequently discussed barrier theme to purchasing and consuming dairy products. Mothers were concerned about the cost of dairy products. Differences in purchasing and consumption strategies were reported between parents of children who consumed adequate dairy and those who did not. Parents believed the most appropriate communication channel was through print material. CONCLUSIONS: Messages targeting parents, as a means of increasing dairy consumption in children, should address barriers identified by parents. In addition, practical tips should be provided to promote purchasing and consumption of dairy products.
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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 | 0.023 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".