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Validity and reliability of a 7‐day fluid diary to estimate average daily water intake

2016· article· en· W2968697461 on OpenAlexaff
Stavros A. Kavouras, Evan C. Johnson, J.D. Adams, Lisa T. Jansen, Catalina Capitán-Jiménez, Erica T. Perrier, François Péronnet

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldMedicine
TopicThermoregulation and physiological responses
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsWater intakeReliability (semiconductor)Environmental scienceFluid intakeNutrientScale (ratio)StatisticsAnimal scienceMathematicsWater resource managementMedicineBiologyEcologyGeographyInternal medicineThermodynamicsPhysicsCartography

Abstract

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Water is the most abundant molecule in the human body that undergoes continuous recycling, but often an overlooked nutrient. One of the main reasons that even in large scale studies water intake is not recorded is the lack of validated tools to assess water intake. OBJECTIVE To assess the validity and reliability of a seven‐day fluid diary (7DFD) by comparing it to total water turnover assessed via deuterium oxide. METHODS One hundred one healthy males and females (41±14 y, 76.6±16.9 kg, 1.70±0.09 m, 26.4±5.5 kg·m −2 , 30±11% body fat) from the North West Arkansas were enrolled. Subject participated in the study for four consecutive weeks where the 7DFD was recorded on week two and four. Three doses of D 2 O (0.10 g, 0.05 and 0.08·kg lean body mass −1 , assessed by DXA) were ingested at the beginning of weeks 1, 2 and 3. Urine samples were collected immediately before ingestion of D 2 O, the following day and at the end of each week. Urine D/H, expressed in ppm vs the V‐SMOW standard (155.76 ppm) was measured by mass spectrometry using the H 2 ‐water equilibration method. Water turnover (WTO) was calculated as total body water (TBW, L)/mean residence time of water in the body water pool. Average daily WTO was also estimated from the diary as the sum of: 1) participant entries in 7DFD, 2) water intake from solid foods calculated from a traditional 7 day food record, and, 3) calculated daily metabolic water production. RESULTS WTO assessed either via D 2 O (W2: 3.64±1.20, W4: 3.68±1.31 L/day) or 7DFD (W2: 3.51±1.30, W4: 3.47±1.23 L/day) was not different between weeks 2 and 4 with both methods of estimation ( P >0.05). Water turnover from D 2 O vs the 7DFD was linearly related during week 2 (F[1,95]=144.2, R 2 = 0.61, p <0.001), and week 4 (F[1,85]=92.2, R 2 = 0.52, p < 0.001). Intraclass correlations (95% CI) were 0.77 (0.68–0.84), and 0.74(0.63–0.83) for weeks 2 and 4, respectively. Lastly, the Bland‐Altman analysis for combined mean difference between WTO for D 2 O and 7DFD was 0.167±0.876 L·d −1 , a 95% CI of −1.886–1.552 L·d −1 , with no apparent bias (F[1,180]= 1.0, R 2 =0.005, p = 0.325). CONCLUSION The seven day fluid diary is a reliable and valid tool to estimate water from fluids in adults. Support or Funding Information 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 imitation

Not 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.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.029
GPT teacher head0.300
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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