Evidence map›Paper›PMID 30467284›Full record

ArticleInternational journal of environmental research and public health2018

Using Cross-Sectional Data to Identify and Quantify the Relative Importance of Factors Associated with and Leading to Food Insecurity.

Alison Daly, Christina M Pollard, Deborah A Kerr, Colin W Binns, Martin Caraher, Michael Phillips

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Addressing Food and Nutrition Security in Developed Countries.International journal of environmental research and public health · 2019
    Article
  11. Food Insecurity and Hunger in Rich Countries-It Is Time for Action against Inequality.International journal of environmental research and public health · 2019
    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

6 authors.

Alison DalyFaculty of Health Science, School of Public Health, Curtin University, GPO Box U1987, Perth 6845, Western Australia, Australia. alison.daly@curtin.edu.au.
Christina M PollardFaculty of Health Science, School of Public Health, Curtin University, GPO Box U1987, Perth 6845, Western Australia, Australia. C.Pollard@curtin.edu.au.
Deborah A KerrFaculty of Health Science, School of Public Health, Curtin University, GPO Box U1987, Perth 6845, Western Australia, Australia. D.Kerr@curtin.edu.au.ORCID 0000-0002-1094-1299
Colin W BinnsFaculty of Health Science, School of Public Health, Curtin University, GPO Box U1987, Perth 6845, Western Australia, Australia. C.Binns@curtin.edu.au.ORCID 0000-0002-6220-3933
Martin CaraherCentre for Food Policy, City University of London, Northampton Square, London EC1V 0HB, UK. m.caraher@city.ac.uk.ORCID 0000-0002-0615-839X
Michael PhillipsHarry Perkins Institute for Medical Research, University of Western Australia, Perth 6009, Western Australia, Australia. michael.phillips@perkins.uwa.edu.au.ORCID 0000-0002-0252-9085

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Australian governments routinely monitor population household food insecurity (FI) using a single measure-'running out of food at least once in the previous year'. To better inform public health planning, a synthesis of the determinants and how they influence and modify each other in relation to FI was conducted. The analysis used data from the Health & Wellbeing Surveillance System cross-sectional dataset. Weighted means and multivariable weighted logistic regression described and modelled factors involved in FI. The analysis showed the direction and strength of the factors and a path diagram was constructed to illustrate these. The results showed that perceived income, independent of actual income was a strong mediator on the path to FI as were obesity, smoking and other indicators of health status. Eating out three or more times a week and eating no vegetables more strongly followed FI than preceded it. The analysis identified a range of factors and demonstrated the complex and interactive nature of them. Further analysis using propensity score weighted methods to control for covariates identified hypothetical causal links for investigation. These results can be used as a proof of concept to assist public health planning.

Indexed as

Socioeconomic FactorsAdolescentAdultAustraliaCross-Sectional StudiesFemaleFood SupplyHumansLogistic ModelsMaleMiddle AgedPopulation SurveillanceRisk AssessmentYoung Adultdeterminantsfood insecuritymonitoringpath diagramsurveillance

Identifiers

PMID30467284
PMCPMC6313516

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.