Evidence map›Paper›PMID 39324347›Full record

ArticlePublic health nutrition2024

Determinant of factors associated with water requirement measured using the doubly labelled water method among older Japanese adults.

Daiki Watanabe, Tsukasa Yoshida, Hinako Nanri, Aya Itoi, Chiho Goto, Kazuko Ishikawa-Takata, Naoyuki Ebine, Yasuki Higaki, Motohiko Miyachi, Misaka Kimura and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Public health nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Daiki WatanabeFaculty of Sport Sciences, Waseda University, 2-579-15 Mikajima, Tokorozawa-City, Saitama359-1192, Japan.ORCID 0000-0001-5644-1428
Tsukasa YoshidaNational Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senriokashimmachi, Settsu-City, Osaka566-0002, Japan.ORCID 0000-0003-2304-6872
Hinako NanriNational Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senriokashimmachi, Settsu-City, Osaka566-0002, Japan.
Aya ItoiNational Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senriokashimmachi, Settsu-City, Osaka566-0002, Japan.
Chiho GotoDepartment of Health and Nutrition, Faculty of Health and Human Life, Nagoya Bunri University, 365 Maeda, Inazawa-City, Aichi492-8520, Japan.
Kazuko Ishikawa-TakataNational Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senriokashimmachi, Settsu-City, Osaka566-0002, Japan.
Naoyuki EbineFaculty of Health and Sports Science, Doshisha University, 1-3 Tataramiyakodani Kyotanabe-City, Kyoto610-0394, Japan.
Yasuki HigakiFaculty of Sports and Health Science, Fukuoka University, 8-19-1 Nanakuma, Jonan-ku, Fukuoka814-0180, Japan.
Motohiko MiyachiFaculty of Sport Sciences, Waseda University, 2-579-15 Mikajima, Tokorozawa-City, Saitama359-1192, Japan.
Misaka KimuraInstitute for Active Health, Kyoto University of Advanced Science, 1-1 Nanjo Otani, Sogabe-cho, Kameoka-City, Kyoto621-8555, Japan.
Yosuke YamadaNational Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senriokashimmachi, Settsu-City, Osaka566-0002, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWater is an essential nutrient for all organisms and is important for maintaining life and health. We aimed to develop a biomarker-calibrated equation for predicting water turnover (WT) and pre-formed water (PW) using the doubly labelled water (DLW) method.

designCross-sectional study.

settingGeneral older population from the Kyoto-Kameoka Study, Japan.

participantsThe 141 participants aged ≥ 65 years were divided into a model developing (

resultsThe median WT and PW for 141 participants were 2·81 and 2·28 l/d, respectively. In the multivariate model, WT (

conclusionsOur results showed factors associated with water requirement and indicated a methodological approach of calibrating the self-reported dietary intake data using biomarkers of water consumption.

Indexed as

DrinkingAgedAged, 80 and overBiomarkersBody WaterCohort StudiesCross-Sectional StudiesDietEast Asian PeopleFemaleHumansJapanMaleNutritional RequirementsOxygen IsotopesSurveys and QuestionnairesBiomarkersOxygen IsotopesWaterDoubly labelled waterFFQPre-formed waterWater requirementWater turnover

Identifiers

PMID39324347
PMCPMC11505260

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.