Relative Validity and Reproducibility of a Dietary Screening Tool in Nigerian Health Care
Bibliographic record
Abstract
Background: Hypertension and cardiovascular disease burden are rising rapidly in Nigeria. This trend is partly attributed to a transition from healthy to unhealthy dietary patterns. However, health care professionals lack a dietary screening tool to assess patient dietary intake and offer personalized dietary advice. Objectives: We aimed to develop and validate a food frequency questionnaire (FFQ) that can quickly and accurately assess regional dietary intake for use by health care professionals in a hospital setting in Port Harcourt, Nigeria. Methods: We recruited 58 patients from a single hospital in Nigeria. The FFQ was administered at baseline and again after 3 wk. To evaluate the validity of the FFQ, we used 3 repeated and nonconsecutive 24-h dietary recalls (24DR) as a reference method. Spearman rank correlations, Wilcoxon signed-rank tests, cross-classification, intraclass correlation coefficients (ICCs), and Bland-Altman analysis were performed in R software version 4.3.1 to assess the relative validity and reproducibility. Results: < 0.05). The exact agreement for classifying individuals into quartiles ranged from 17% for salt to 88% for processed meats and alcoholic drinks, with 90% of individuals classified into the same or neighboring quartile. Additionally, the Bland-Altman analysis demonstrated acceptable agreement, with >96% of observations within the acceptable limits of agreement for all food groups. For reproducibility, the ICC ranged from 0.31 for stew to 0.98 for fruit, with an mean ICC of 0.77 between the FFQs delivered 2 wk apart. Conclusions: Our results support the use of the FFQ as a valid and reliable tool for ranking intakes of certain food groups among patients in a hospital setting in Nigeria.The trial was registered at clinicaltrials.gov as NCT05973760.
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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 | 0.000 |
| 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".