Evidence map›Paper›PMID 23881381›Full record

ArticleLipids2013

Dietary intake and food sources of EPA, DPA and DHA in Australian children.

Setyaningrum Rahmawaty, Karen Charlton, Philippa Lyons-Wall, Barbara J Meyer

Abstract read
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In one paragraph

Article in Lipids, 2013. 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
4.6field-weighted citation impact, top 5% 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, 55 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 2 institutions in 1 country.

Setyaningrum RahmawatyMetabolic Research Centre, University of Wollongong, Northfields Ave, Wollongong, NSW, 2522, Australia.
Karen Charlton
Philippa Lyons-Wall
Barbara J Meyer
University of Wollongong · AUEdith Cowan University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Secondary analysis of the 2007 Australian National Children's Nutrition and Physical Activity survey was undertaken to assess the intake and food sources of EPA, DPA and DHA (excluding supplements) in 4,487 children aged 2-16 years. An average of two 24-h dietary recalls was analysed for each child and food sources of EPA, DPA and DHA were assessed using the Australian nutrient composition database called AUSNUT 2007. Median (inter quartile range, IQR) for EPA, DPA and DHA intakes (mg/day) for 2-3, 4-8, 9-13, 14-16 year were: EPA 5.3 (1.5-14), 6.7 (1.8-18), 8.7 (2.6-23), 9.8 (2.7-28) respectively; DPA 6.2 (2.2-14), 8.2 (3.3-18), 10.8 (4.3-24), 12.2 (5-29) respectively; and DHA 3.9 (0.6-24), 5.1 (0.9-26), 6.8 (1.1-27), 7.8 (1.5-33) respectively. Energy-adjusted intakes of EPA, DPA and DHA in children who ate fish were 7.5, 2 and 16-fold higher, respectively (P < 0.001) compared to those who did not eat fish during the 2 days of the survey. Intake of total long chain n-3 PUFA was compared to the energy adjusted suggested dietary target (SDT) for Australian children and 20 % of children who ate fish during the 2 days of the survey met the SDT. Fish and seafood products were the largest contributors to DHA (76 %) and EPA (59 %) intake, while meat, poultry and game contributed to 56 % DPA. Meat consumption was 8.5 times greater than that for fish/seafood. Australian children do not consume the recommended amounts of long chain omega-3 fatty acids, especially DHA, which could be explained by low fish consumption.

Indexed as

MeatSeafoodAdolescentAustraliaChildChild, PreschoolDatabases, FactualDiet SurveysDocosahexaenoic AcidsEatingEicosapentaenoic AcidFatty Acids, UnsaturatedFemaleHumansMaleDocosahexaenoic Acidsdocosapentaenoic acidEicosapentaenoic AcidFatty Acids, Unsaturated

Identifiers

PMID23881381
OpenAlexW1983713208

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.