Evidence map›Paper›PMID 30104494›Full record

Observational studyNutrients2018

Vegetable Diversity, Injurious Falls, and Fracture Risk in Older Women: A Prospective Cohort Study.

Marc Sim, Lauren C Blekkenhorst, Joshua R Lewis, Catherine P Bondonno, Amanda Devine, Kun Zhu, Richard J Woodman, Richard L Prince, Jonathan M Hodgson

Abstract readComparative StudyObservational Study
In one paragraph

Observational study in Nutrients, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  4. Review
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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

9 authors.

Marc SimSchool of Medical and Health Sciences, Edith Cowan University, Joondalup, WA 6027, Australia. marc.sim@ecu.edu.au.ORCID 0000-0001-5166-0605
Lauren C BlekkenhorstSchool of Medical and Health Sciences, Edith Cowan University, Joondalup, WA 6027, Australia. l.blekkenhorst@ecu.edu.au.ORCID 0000-0003-1561-9052
Joshua R LewisSchool of Medical and Health Sciences, Edith Cowan University, Joondalup, WA 6027, Australia. joshua.lewis@ecu.edu.au.
Catherine P BondonnoSchool of Medical and Health Sciences, Edith Cowan University, Joondalup, WA 6027, Australia. c.bondonno@ecu.edu.au.
Amanda DevineSchool of Medical and Health Sciences, Edith Cowan University, Joondalup, WA 6027, Australia. a.devine@ecu.edu.au.ORCID 0000-0001-6978-6249
Kun ZhuDepartment of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, WA 6009, Australia. kun.zhu@uwa.edu.au.
Richard J WoodmanFlinders Centre for Epidemiology and Biostatistics, Flinders University, Adelaide, SA 5042, Australia. richard.woodman@flinders.edu.au.
Richard L PrinceDepartment of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, WA 6009, Australia. richard.prince@uwa.edu.au.
Jonathan M HodgsonSchool of Medical and Health Sciences, Edith Cowan University, Joondalup, WA 6027, Australia. jonathan.hodgson@ecu.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The importance of vegetable diversity for the risk of falling and fractures is unclear. Our objective was to examine the relationship between vegetable diversity with injurious falling and fractures leading to hospitalization in a prospective cohort of older Australian women (

Indexed as

Diet, HealthyVegetablesAccidental FallsAgedAge FactorsFemaleFractures, BoneHealthy AgingHumansNutritional StatusNutritive ValueProspective StudiesProtective FactorsRisk FactorsSex FactorsWestern Australiaageingepidemiologygeriatricsinjurymusculoskeletal healthnutrition

Identifiers

PMID30104494
PMCPMC6115713

What OpenQuestion holds

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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.