Validity and reproducibility of a semi‐quantitative food frequency questionnaire for Iranian adults
Bibliographic record
Abstract
AIM: To validate a semi-quantitative food frequency questionnaire (SFFQ) and assess the dietary intake of Iranian adults. METHODS: This study was conducted among 113 healthy adults in Iran. We administered twelve 24-hour dietary recalls (24DRs) during a year as a reference method. The 165-item SFFQ was administered twice, along with the first and last 24DRs. To examine validity and reproducibility of SFFQ, the correlation coefficients (r) and de-attenuated correlation coefficients and intra-class correlation coefficient (ICC) between 24DRs and SFFQ were calculated. The Bland-Altman method was used to assess agreement between the two methods. RESULTS: De-attenuated correlations varied from 0.42 (polyunsaturated fatty acids) to 0.62 (energy) (all P < .001) for nutrients and from 0.48 (oils and fats) to 0.65 (sweets) for food groups (all P < .05). We found reasonable reproducibility of SFFQ for both nutrients and food groups. ICC (95%CI) varied from 0.47 (0.15-0.74) for saturated fatty acids to 0.64 (0.47-0.76) for energy and from 0.43 (0.15-0.62) for oils and fats to 0.58 for grains (0.31-0.69). According to the Bland-Altman plots, we observed an acceptable level of agreement between the two methods. CONCLUSIONS: We found reasonable relative validity and acceptable reproducibility of SFFQ. This SFFQ can be used to classify individuals based on their dietary intake in our population.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".