Evidence map›Paper›PMID 33505843›Full record

ArticlePreventive medicine reports2021

Diet quality and a traditional dietary pattern predict lean mass in Australian women: Longitudinal data from the Geelong Osteoporosis Study.

Jessica A Davis, Mohammadreza Mohebbi, Fiona Collier, Amy Loughman, Nitin Shivappa, James R Hébert, Julie A Pasco, Felice N Jacka

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Preventive medicine reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Article
  12. The role of nutrition in the prevention of sarcopenia.The American journal of clinical nutrition · 2023
    Review
  13. Observational
  14. Article
  15. Animal, Human, andCurrent pediatrics reports · 2021
    Review
  16. 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

8 authors.

Jessica A DavisDeakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, HERB Building, Level 3, 285-299 Ryrie St, Geelong, VIC 3220, Australia.
Mohammadreza MohebbiDeakin University, Faculty of Health, Biostatistics Unit, Building BC, Room BC4.121, 221 Burwood Highway, Geelong, Burwood, VIC 3125, Australia.
Fiona CollierDeakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, HERB Building, Level 3, 285-299 Ryrie St, Geelong, VIC 3220, Australia.
Amy LoughmanDeakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, HERB Building, Level 3, 285-299 Ryrie St, Geelong, VIC 3220, Australia.
Nitin ShivappaCancer Prevention and Control Program, University of South Carolina, Discovery 1 Building, Suite 200, 915 Greene Street, Columbia, SC 29208, USA.
James R HébertCancer Prevention and Control Program, University of South Carolina, Discovery 1 Building, Suite 200, 915 Greene Street, Columbia, SC 29208, USA.
Julie A PascoDeakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, HERB Building, Level 3, 285-299 Ryrie St, Geelong, VIC 3220, Australia.
Felice N JackaDeakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, HERB Building, Level 3, 285-299 Ryrie St, Geelong, VIC 3220, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low muscle mass is associated with reduced independence and increased risk for falls and fractures. Identification of modifiable risk factors for low muscle mass is thus imperative. This study aimed to examine the longitudinal relationship between both diet quality and patterns and lean mass in Australian women. Data from n = 494 participants of the Geelong Osteoporosis Study's 10- and 15-year women's follow-ups were used (conducted in 2004-08 and 2011-14, respectively), and participants were aged 21-89 years. Self-reported lifestyle and demographics were collected, and food frequency questionnaire data informed the dietary exposure variables: the Australian Recommended Food Score (ARFS); the Dietary Inflammatory Index (DII); and a posteriori dietary patterns. The outcome, Skeletal Muscle Index (SMI), was calculated from DXA-derived appendicular lean mass (ALM) relative to height (ALM kg/m

Indexed as

Dietary patternsDiet qualityMuscle massSarcopeniaSkeletal muscle index

Identifiers

PMID33505843
PMCPMC7815486

What OpenQuestion holds

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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.