Evidence map›Paper›PMID 27792184›Full record

ArticleNutrients2016

Water and Beverage Consumption: Analysis of the Australian 2011-2012 National Nutrition and Physical Activity Survey.

Zhixian Sui, Miaobing Zheng, Man Zhang, Anna Rangan

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
5.7field-weighted citation impact, top 4% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 63 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

4 authors at 1 institution in 1 country.

Zhixian SuiCharles Perkins Centre, School of Life and Environmental Sciences, The University of Sydney, Camperdown 2006, NSW, Australia. zhixian.sui@sydney.edu.au.
Miaobing ZhengCharles Perkins Centre, School of Life and Environmental Sciences, The University of Sydney, Camperdown 2006, NSW, Australia. miaobing.zheng@sydney.edu.au.
Man ZhangCharles Perkins Centre, School of Life and Environmental Sciences, The University of Sydney, Camperdown 2006, NSW, Australia. mzha7338@uni.sydney.edu.au.
Anna RanganCharles Perkins Centre, School of Life and Environmental Sciences, The University of Sydney, Camperdown 2006, NSW, Australia. anna.rangan@sydney.edu.au.
The University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWater consumption as a vital component of the human diet is under-researched in dietary surveys and nutrition studies.

aimTo assess total water and fluid intakes and examine demographic, anthropometric, and dietary factors associated with water consumption in the Australian population.

methodsDietary intake data from the 2011 to 2012 National Nutrition and Physical Activity Survey were used. Usual water, fluid and food and nutrient intakes were estimated from two days of dietary recalls. Total water includes plain drinking water and moisture from all food and beverage sources; total fluids include plain drinking water and other beverages, but not food moisture.

resultsThe mean (SD) daily total water intakes for children and adolescents aged 2-18 years were 1.7 (0.6) L for males and 1.5 (0.4) L for females, and for adults aged 19 years and over were 2.6 (0.9) L for males and 2.3 (0.7) L for females. The majority of the population failed to meet the Adequate Intake (AI) values for total water intake (82%) and total fluids intake (78%) with the elderly at highest risk (90%-95%). The contributions of plain drinking water, other beverages and food moisture to total water intake were 44%, 27%, and 29%, respectively, among children and adolescents, and 37%, 37% and 25% among adults. The main sources of other beverages were full-fat plain milk and regular soft drinks for children and adolescents, and tea, coffee, and alcoholic drinks for adults. For adults, higher total water intake was associated with lower percent energy from fat, saturated fat, and free sugars, lower sodium and energy-dense nutrient poor food intakes but higher dietary fibre, fruit, vegetable, caffeine, and alcohol intakes. No associations were found between total water consumption and body mass index (BMI) for adults and BMI

conclusionReported water consumption was below recommendations. Higher water intakes were suggestive of better diet quality.

Indexed as

BeveragesDietDiet, HealthyDrinkingExerciseHealthy LifestylePatient ComplianceAdolescentAdultAgedAge FactorsAustraliaChildCross-Sectional StudiesDehydrationFemaleadultschildrendietary patterndiet qualitydrinking waterwater intake

Identifiers

PMID27792184
PMCPMC5133066
OpenAlexW2544019344

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.