Validation and Reliability of a Water Frequency Questionnaire to Estimate Daily Water Intake in Adults (P13-006-19)
Bibliographic record
Abstract
Investigators sought to: 1) evaluate the validity of a water frequency questionnaire (WFQ) to estimate mean daily water intake (WI) in adults through comparison to the gold standard, deuterium oxide (D2O) disappearance, and 2) evaluate reliability of WFQ to estimate WI. Data collection occurred over three weeks, with validity of WFQ (vs. D2O) assessed during week one (W1) and reliability assessed between W1 and week three (W3). Healthy, free-living adults (n = 103; 51% female; 41 ± 14 y; BMI, 26.5 ± 5.5 kg·m–2) consumed D2O (0.1 g·kg–1 lean mass) at the start of W1 and provided urine samples immediately before ingestion, the following day, and at the end of the week to calculate total body water turnover (WTO). Seven day beverage consumption during W1 and W3 was retrospectively estimated using the WFQ. The WFQ included 17 beverage types with specified volumes (e.g., water (8 oz); soft drink (12 oz)) and nine frequency options ranging from ‘Never or less than 1 per week’ to ‘7+ per day’. Investigators converted beverage volumes to mL and calculated WI for each week. Food frequency questionnaires were also completed at the end of both weeks. Diets were analyzed with Nutritional Data System for Research software to estimate water intake from solid foods and metabolic water production by macronutrient oxidation. Water from food and macronutrient oxidation were subtracted from WTO to estimate WI via D2O. WFQ reliability was assessed via intraclass correlation (ICC) and Cronbach α, and validity was assessed via Bland-Altman plots. The mean difference in WI between D2O (2902 ± 1321 mL·day–1) and WFQ (2589 ± 1560 mL·day–1) was –308 ± 166 mL (P = 0.065). No systematic bias was observed between methods (R2 = 0.032, P = 0.071) as 3% of WI variance was explained by differences between methods. WFQ WI was not different between W1 (2589 ± 1560 mL·day–1) and W3 (2441 ± 1334 mL·day–1, P = 0.135). Cronbach α = 0.8415 demonstrated high internal consistency in WI estimation. The ICC was 0.834 (95% CI: 0.754, 0.887), demonstrating good test-retest reliability of WFQ. In conclusion, the WFQ produced reliable WI estimates that were comparable to the gold standard of D2O assessment. This questionnaire may be a practical and easy method for assessing water intake in adults. The study was funded by Danone Research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".