Evidence map›Paper›PMID 36771364›Full record

ArticleNutrients2023

Comparison of Four Dietary Pattern Indices in Australian Baby Boomers: Findings from the Busselton Healthy Ageing Study.

Sierra R McDowell, Kevin Murray, Michael Hunter, Lauren C Blekkenhorst, Joshua R Lewis, Jonathan M Hodgson, Nicola P Bondonno

Abstract read
In one paragraph

Article in Nutrients, 2023. 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. Review
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

7 authors.

Sierra R McDowellSchool of Population and Global Health, University of Western Australia, Perth, WA 6009, Australia.
Kevin MurraySchool of Population and Global Health, University of Western Australia, Perth, WA 6009, Australia.ORCID 0000-0002-8856-6046
Michael HunterSchool of Population and Global Health, University of Western Australia, Perth, WA 6009, Australia.
Lauren C BlekkenhorstNutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, WA 6027, Australia.
Joshua R LewisNutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, WA 6027, Australia.
Jonathan M HodgsonNutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, WA 6027, Australia.ORCID 0000-0001-6184-7764
Nicola P BondonnoNutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, WA 6027, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The assessment of dietary patterns comprehensively represents the totality of the diet, an important risk factor for many chronic diseases. This study aimed to characterise and compare four dietary pattern indices in middle-aged Australian adults. In 3458 participants (55% female) from the Busselton Healthy Ageing Study (Phase Two), a validated food frequency questionnaire was used to capture dietary data between 2016 and 2022. Four dietary patterns [Australian Dietary Guideline Index 2013 (DGI-2013); the Mediterranean Diet Index (MedDiet); the Literature-based Mediterranean Diet Index (Lit-MedDiet); and the EAT-Lancet Index], were calculated and compared by measuring total and sub-component scores, and concordance (𝜌

Indexed as

Diet, MediterraneanHealthy AgingAdultAustraliaCross-Sectional StudiesDietFeeding BehaviorFemaleHumansMaleMiddle Ageddietary guideline index 2013dietary patternsdiet qualityEAT-lancetMediterranean diet

Identifiers

PMID36771364
PMCPMC9922020

What OpenQuestion holds

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LicenceCC BY
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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.