Evidence map›Paper›PMID 32429271›Full record

ArticleNutrients2020

Development, Relative Validity and Reproducibility of the Aus-SDS (Australian Short Dietary Screener) in Adults Aged 70 Years and Above.

Adelle M Gadowski, Tracy A McCaffrey, Stephane Heritier, Andrea J Curtis, Natalie Nanayakkara, Sophia Zoungas, Alice J Owen

Abstract readValidation Study
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 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
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.

Adelle M GadowskiSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.
Tracy A McCaffreyDepartment of Nutrition, Dietetics and Food, Monash University, Clayton 3168, Australia.
Stephane HeritierSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.
Andrea J CurtisSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.
Natalie NanayakkaraSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.
Sophia ZoungasSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.
Alice J OwenSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to assess the relative validity and reproducibility of a six-item Australian Short Dietary Screener (Aus-SDS). The Aus-SDS assessed the daily intake of core food groups (vegetables, fruits, legumes and beans, cereals, protein sources and dairy sources) in 100 Australians (52 males and 48 females) aged ≥70 years. Relative validity was assessed by comparing intakes from the Aus-SDS1 with an average of three 24-hour recalls (24-HRs), and reproducibility using two administrations of the Aus-SDS (Aus-SDS1 and Aus-SDS2). Cohen's kappa statistic between the Aus-SDS1 and 24-HRs showed moderate to good agreement, ranging from 0.44 for fruits and dairy to 0.64 for protein. There was poor agreement for legume intake (0.12). Bland-Altman plots demonstrated acceptable limits of agreement between the Aus-SDS1 and 24-HRs for all food groups. Median intakes obtained from Aus-SDS1 and Aus-SDS2 did not differ. For all food groups, Cohen's kappa statistic ranged from 0.68 to 0.89, indicating acceptable agreement between the Aus-SDS1 and Aus-SDS2. Spearman's correlation coefficient between Aus-SDS1 and 24-HRs across all food groups ranged from 0.64 for fruit to 0.83 for protein. We found the Aus-SDS to be a useful tool in assessing daily intake of core food groups in this population.

Indexed as

AgedAged, 80 and overAustraliaDiet, HealthyDiet SurveysFeeding BehaviorFemaleGeriatric AssessmentHumansMaleMass ScreeningMental RecallReproducibility of ResultsStatistics, NonparametricSurveys and Questionnairesbrief questionnairedietdietary intakedietary screenerfood groupolder adultsrelative validityvalidity

Identifiers

PMID32429271
PMCPMC7284974

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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.