Outcome measurement instruments used to measure diet-related outcomes in infancy: A scoping review
Bibliographic record
Abstract
INTRODUCTION: Supporting positive diet behaviours during infancy is essential to support child health and prevent childhood obesity. How infant diet-related outcomes are measured in trials is crucial to determining intervention effectiveness. This scoping review examined what and how outcome measurement instruments are currently used to measure 13 infant diet-related outcomes from a previously developed core outcome set. METHODS: The databases EMBASE, MEDLINE, CINAHL and PsycINFO were searched from inception to September 2023. Eligible studies reported trials that included infants ≤1 year old and at least one diet-related outcome measurement instrument. Titles/abstracts and full texts were independently screened in duplicate. Data were narratively synthesised. RESULTS: 136 studies reporting 133 trials were included. Outcome measurement instruments used included 66 questionnaires (n = 70 studies), 65 individual questions (n = 45 studies), 24 food diaries/records (n = 21 studies), 11 24-hour dietary recall (n = 11 studies), and healthcare record data (n = 6 studies). Outcome measurement instruments were predominantly self-administered by researchers in participants homes. There was a lack of reporting for some outcome measurements used. CONCLUSION: Review findings highlight the need to improve clarity and completeness of outcome reporting. The findings also provide an important first step to address heterogeneity in measurement of infant diet-related outcomes. Consistent measurement of diet-related outcomes is needed to improve synthesis and evaluation of obesity prevention interventions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".