Evidence map›Paper›PMID 32998296›Full record

ArticleNutrients2020

Self-Reported Diet Quality Differentiates Nutrient Intake, Blood Nutrient Status, Mood, and Cognition: Implications for Identifying Nutritional Neurocognitive Risk Factors in Middle Age.

Lauren M Young, Sarah Gauci, Andrew Scholey, David J White, Annie-Claude Lassemillante, Denny Meyer, Andrew Pipingas

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 11% 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, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
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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

7 authors at 1 institution in 1 country.

Lauren M YoungCentre for Human Psychopharmacology, Swinburne University, Melbourne, VIC 3122, Australia.ORCID 0000-0002-2020-0400
Sarah GauciCentre for Human Psychopharmacology, Swinburne University, Melbourne, VIC 3122, Australia.
Andrew ScholeyCentre for Human Psychopharmacology, Swinburne University, Melbourne, VIC 3122, Australia.ORCID 0000-0003-4484-5462
David J WhiteCentre for Human Psychopharmacology, Swinburne University, Melbourne, VIC 3122, Australia.ORCID 0000-0001-8694-1474
Annie-Claude LassemillanteDepartment of Nursing and Allied Health, Faculty of Health, Arts and Design, Swinburne University, Melbourne, VIC 3122, Australia.
Denny MeyerDepartment of Health Science and Biostatistics, Centre for Mental Health, Swinburne University, Melbourne, VIC 3122, Australia.ORCID 0000-0002-9902-0858
Andrew PipingasCentre for Human Psychopharmacology, Swinburne University, Melbourne, VIC 3122, Australia.
Swinburne University of Technology · AU

Funding

Swisse Wellness N/A
6 · The paper itself

Abstract

Evidence for diet quality representing a modifiable risk factor for age-related cognitive decline and mood disturbances has typically come from retrospective, cross-sectional analyses. Here a diet screening tool (DST) was used to categorize healthy middle-aged volunteers (

Indexed as

AffectCognitionNutritional StatusAdultAgedAustraliaBiomarkersCross-Sectional StudiesDiagnostic Self EvaluationDiet, HealthyDiet SurveysEatingEnergy IntakeFemaleHealthy VolunteersHumansBiomarkersNutrientscognitiondiet qualitydiet screeningmiddle-aged adultsmoodnutrient intakenutrient statusnutritional riskstress

Identifiers

PMID32998296
PMCPMC7599651
OpenAlexW3087923964

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.