Evidence map›Paper›PMID 29858626›Full record

ArticleEuropean journal of nutrition2018

Fluid intake patterns of children and adolescents: results of six Liq.In

C Morin, J Gandy, R Brazeilles, L A Moreno, S A Kavouras, H Martinez, J Salas-Salvadó, J Bottin, Isabelle Guelinckx

Open access · hybridAbstract read
In one paragraph

Article in European journal of nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
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

9 citing papers in PubMed, 19 citations in OpenAlex.

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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

9 authors at 6 institutions in 5 countries.

C MorinHydration and Health Department, Danone Research, Route Départemental 128, 91767, Palaiseau, France.
J GandyBritish Dietetic Association, Birmingham, UK.
R BrazeillesBiometrics and Data Science Department, Danone Research, Palaiseau, France.
L A MorenoGENUD (Growth, Exercise, Nutrition and Development) Research Group, Faculty of Health Sciences, Universidad de Zaragoza, Instituto Agroalimentario de Aragón (IA2), Instituto Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain.
S A KavourasHydration Science Lab, University of Arkansas, Fayetteville, AR, USA.
H MartinezHospital Infantil de México Federico Gómez, México City, Mexico.
J Salas-SalvadóCIBERobn (Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición), Institute of Health Carlos III, Madrid, Spain.
J BottinHydration and Health Department, Danone Research, Route Départemental 128, 91767, Palaiseau, France.
Isabelle GuelinckxHydration and Health Department, Danone Research, Route Départemental 128, 91767, Palaiseau, France. isabelle.guelinckx@danone.com.ORCID http://orcid.org/0000-0002-4776-9453
Danone (France) · FRHospital Infantil de México Federico Gómez · MXInstituto de Salud Carlos III · ESUniversidad de Zaragoza · ESUniversity of Arkansas at Fayetteville · USUniversity of Hertfordshire · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to identify and characterize patterns of fluid intake in children and adolescents from six countries: Argentina, Brazil, China, Indonesia, Mexico and Uruguay.

methodsData on fluid intake volume and type amongst children (4-9 years; N = 1400) and adolescents (10-17 years; N = 1781) were collected using the validated 7-day fluid-specific record (Liq.In

resultsThe six interpretable clusters identified were: low drinkers-SSB (n 523), low drinkers-water and milk (n 615), medium mixed drinkers (n 914), high drinkers-SSB (n 513), high drinkers-water (n 352) and very high drinkers-water (n 264). Country of residence was the dominant characteristic, followed by socioeconomic level, in all six patterns.

conclusionsThis analysis showed that consumption of water and SSB were the primary drivers of the clusters. In addition to country, socio-demographic and lifestyle factors played a role in determining the characteristics of each cluster. This information highlights the need to target interventions in particular populations aimed at changing fluid intake behavior and improving health in children and adolescents.

Indexed as

DrinkingAdolescentAnimalsArgentinaAsiaBeveragesBrazilChildChild, PreschoolChinaCross-Sectional StudiesEnergy IntakeFemaleHumansIndonesiaMaleAdolescentsBeveragesChildrenClustering analysisFluid intakeHydrationLiq.In7Water

Identifiers

PMID29858626
PMCPMC6008348
OpenAlexW2805865205

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.