Development and User Experience of a Web-Based Nutrition Intervention to Promote Dairy Product Consumption among Families: Randomized Control Trial (Preprint)
Bibliographic record
Abstract
BACKGROUND Insufficient adherence to dietary guidelines highlights the need for interventions promoting healthy eating that includes dairy consumption among Canadian families. Research suggests that web-based interventions rooted in user research and theories effectively promote behavior change. However, few theory-driven web interventions target dairy product consumption in families. OBJECTIVE This study aims to describe the development process of a web-based nutrition intervention named “Dairyathlon” promoting dairy product (DP) consumption among families, using the IDEAS (Ideate, Design, Assess, and Share) framework. METHODS Following the IDEAS framework, family insights and beliefs about DP were gathered through ethnographic study and interviews. Behavior change techniques to enhance attitudes and perceived behavioral control toward DP consumption were developed based on the Theory of planned behavior. These techniques underwent a design process, including testing and adjustment of prototypes. The web-based platform user experience was assessed using the AttrakDiff questionnaire among families and compared to a reference website (Canadian Food Guide (CFG)). The AttrakDiff questionnaire measures pragmatic (PQ), hedonic stimulation (HSQ) and identity (HIQ), and attractiveness (ATT) dimensions of the web-based platform, with scores ranging from -3 to +3 (scores > 1 are optimal, 0-1 are acceptable, and < 0 are suboptimal). RESULTS Between April 2019 and August 2020, the Dairyathlon web-based intervention was developed for families to enhance attitudes and perceived control toward DP consumption, following the IDEAS framework. The user experience assessment of the Dairyathlon web-based platform among 29 families showed an optimal global score (1.4±0.8) and scored higher than the reference website (1.0±0.6; p=0.02) assessed among 15 families. After using the Dairyathlon, children (n=45) rated the four dimensions: PQ (1.4±1.0), HSQ (1.6±1.0), HIQ (1.4±1.1), and ATT (1.7±0.9), as optimal. Parents (n=50) rated dimensions as optimal, except for the stimulation quality (PQ: 1.2±1.0; HSQ: 0.9±0.8; HIQ: 1.4±0.8, and ATT: 1.6±0.8). CONCLUSIONS This study shows that the IDEAS framework was useful in developing a web-based intervention that promotes the consumption of DP. The web-based platform user experience is classified as optimal. However, the stimulation dimension needs to be improved for adults. Future studies will evaluate the impact of the Dairyathlon web-based intervention on DP consumption and families' health and diet quality. CLINICALTRIAL NCT05417347
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".