Evidence map›Paper›PMID 30681049›Full record

ArticlePublic health nutrition2019

Discretionary intake among Australian adults: prevalence of intake, top food groups, time of consumption and its association with sociodemographic, lifestyle and adiposity measures.

Flavia Fayet-Moore, Andrew McConnell, Tim Cassettari, Kate Tuck, Peter Petocz, Jean Kim

Open access · bronzeAbstract read
In one paragraph

Article in Public health nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.0field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 34 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

6 authors at 3 institutions in 2 countries.

Flavia Fayet-Moore1Nutrition Research Australia,Level 13,167 Macquarie Street,Sydney,NSW2000,Australia.ORCID 0000-0002-2544-7154
Andrew McConnell1Nutrition Research Australia,Level 13,167 Macquarie Street,Sydney,NSW2000,Australia.
Tim Cassettari1Nutrition Research Australia,Level 13,167 Macquarie Street,Sydney,NSW2000,Australia.
Kate Tuck1Nutrition Research Australia,Level 13,167 Macquarie Street,Sydney,NSW2000,Australia.
Peter Petocz2Department of Statistics,Macquarie University,Sydney,NSW,Australia.
Jean Kim3Nestlé Australia,Rhodes,NSW,Australia.
Neuroscience Research Australia · AUMacquarie University · AURhodes University · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo profile discretionary food and beverage (DF) consumption among Australian adults.

designCross-sectional analysis. Dietary and sociodemographic data were used to profile DF intake. Prevalence of DF consumption, DF servings (1 serving=600 kJ), nutrient contribution from DF and top DF food groups by self-reported eating occasions were determined. DF consumers (>0 g) were classified according to quartile of DF intake and general linear models adjusted for age and sex were used to determine associations.

setting2011-12 National Nutrition and Physical Activity Survey (NNPAS).ParticipantsAdults aged ≥19 years (n 9341) who participated in the NNPAS 2011-12.

resultsMost adults consumed DF (98 %) and over 60 % exceeded 3 DF servings/d, with a mean of 5·0 (se 0·0) DF servings/d. Cakes, muffins, scones, cake-type desserts contributed the most DF energy (8·4 %) of all food groups, followed by wines (8·1 %), pastries (8·0 %) and beers (6·1 %), with all these food groups consumed in large portions (2·3-3·0 DF servings). Lunch and dinner together contributed 45 % of total DF energy intake. High DF consumers had an average of 10 DF servings, and this group contained more younger adults, males, low socio-economic status, lower usual fruit intake and higher mean waist circumference, but not higher BMI.

conclusionsA focus on DF consumed in large portions at lunch and dinner may help improve interventions aimed at reducing DF intake and addressing negative adiposity-related measures found in high DF consumers.

Indexed as

Feeding BehaviorLife StyleAdiposityAdultAgedAustraliaCross-Sectional StudiesDietFemaleHumansMaleMiddle AgedYoung AdultAdultsBMIDiscretionary foodsNational nutrition surveyPortion size

Identifiers

PMID30681049
PMCPMC10260763
OpenAlexW2914127239

What OpenQuestion holds

Textmetadata
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.