Abstract MP31: The Web-based Automated Self-administered 24-hour Dietary Recall Performs Similarly to a Traditional Interviewer-administered 24-hour Dietary Recall
Bibliographic record
Abstract
Introduction: Two studies were conducted to evaluate the National Cancer Institute (NCI)’s web-based Automated Self-Administered 24-hour Recall (ASA24) system, which was developed to facilitate the collection of 24-hour dietary recalls in large-scale research. Hypothesis: Energy, nutrient and food group estimates, response rates, and preferences are comparable between ASA24 and USDA’s interviewer-administered Automated Multiple-Pass Method (AMPM). Methods: Study 1 assessed the response rates and data collected using ASA24 compared to AMPM. About 1200 participants were recruited from three integrated health systems using quota sampling to ensure representation of a range of ages and race/ethnicity groups. Participants were asked to complete two 24HRs, 4-7 weeks apart, and randomized into four study groups: 1) two ASA24s; 2) two AMPMs; 3) ASA24 first and AMPM second; and 4) AMPM first and ASA24 second. Study 2 assessed the validity of ASA24 compared to AMPM in a one-day feeding study. Eighty-one participants visited a study center to consume three meals from a buffet. All containers were unobtrusively weighed before and after each participant served him/herself; plate waste was also weighed. The next day, participants returned to the center to complete either ASA24 or AMPM. Results: Study 1: Almost all enrolled participants (95%) completed at least one recall and 80% completed two; response rates did not differ by recall mode. Estimated intakes of energy, nutrients and food groups were comparable for ASA24 and AMPM; for example, energy, 2132 vs. 2126 kcal; fat, 84.9 vs. 82.8 g; saturated fatty acids, 27.9 vs. 26.9 g; fiber, 18.4 vs. 18.4 g; and fruits and vegetables, 3.0 vs. 3.1 cup equivalents. Of participants randomized to complete one ASA24 and one AMPM, a greater percentage preferred ASA24. Study 2: The examination of foods and drinks reported showed that exact or close matches were recalled for 76.9% of items truly consumed among ASA24 respondents compared to 82.5% among AMPM respondents. Far matches were reported for 3.1% of items consumed among ASA24 respondents compared to 0.7% for AMPM. The proportions of foods or drinks consumed but not reported (exclusions) were 20.4% and 16.8% for ASA24 and AMPM, respectively. Median differences between reported and true intakes for energy, nutrient and most food groups were not significantly different between ASA24 and AMPM. Conclusion: ASA24 performs well relative to traditional interviewer-administered recalls and is feasible for use in large-scale research. The tool, which offers significant savings over interviewer-administered recalls, is publicly available from NCI and has been used in over 800 studies to collect over 113,000 dietary recalls. The tool is currently being updated to run on mobile applications.
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.015 | 0.004 |
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".