Evidence map›Paper›PMID 29248030›Full record

ArticlePublic health nutrition2018

Social determinants of household food expenditure in Australia: the role of education, income, geography and time.

Danielle Venn, Jane Dixon, Cathy Banwell, Lyndall Strazdins

Abstract read
In one paragraph

Article in Public health nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Nutritionists and Dietitians as Key Actors in Local Food Systems: A Systems-Based Social Network Analysis.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2026
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  7. "Maybe it's Not Just the Food?" A Food and Mood Focus Group Study.International journal of environmental research and public health · 2023
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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

4 authors.

Danielle VennNational Centre for Epidemiology and Population Health,Research School of Population Health,Australian National University,62 Mills Road,Acton,ACT 0200,Australia.
Jane DixonNational Centre for Epidemiology and Population Health,Research School of Population Health,Australian National University,62 Mills Road,Acton,ACT 0200,Australia.
Cathy BanwellNational Centre for Epidemiology and Population Health,Research School of Population Health,Australian National University,62 Mills Road,Acton,ACT 0200,Australia.
Lyndall StrazdinsNational Centre for Epidemiology and Population Health,Research School of Population Health,Australian National University,62 Mills Road,Acton,ACT 0200,Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine socio-economic status (SES) and time-related factors associated with less healthy food purchases in Australia.

designData were from the 2009/10 Household Expenditure Survey (HES) conducted by the Australian Bureau of Statistics. Regression analysis was used to examine the associations between the proportion of the household food budget spent on various food types (processed and unprocessed foods, foods purchased from takeaways and restaurants) and SES and time constraint variables.

settingAustralia, 2009-2010. SUBJECTS: Nationally representative sample of Australian households.

resultsHousehold income seems to be the most important correlate with food expenditure patterns once other SES indicators are controlled for. Time constraints appear to explain some, but not all, of the adjusted SES gradients in food expenditure. Comparing home food consumption categories (processed and unprocessed foods) with foods purchased away from home (takeaway and restaurant foods) shows that wealthier, more highly educated and least disadvantaged households spend relatively less of their total food budget on processed and unprocessed foods prepared at home and more on foods purchased away from home at restaurants.

conclusionsSimple SES gradients in dietary behaviour are influenced by correlations between different SES indicators and between SES and time constraints. Examining these factors separately obscures some of the possible causal effects of disadvantage on healthy eating. When formulating policy responses to unhealthy diets, policy makers should consider alternative sources of disadvantage, including time pressure.

Indexed as

Family CharacteristicsFeeding BehaviorHealth BehaviorMealsSocial ClassAdolescentAdultAgedAustraliaBudgetsDietEducational StatusFast FoodsFemaleFood HandlingHumansAustraliaHousehold food expenditureSocio-economic status gradientsTime constraintsUnhealthy diets

Identifiers

PMID29248030
PMCPMC10261327

What OpenQuestion holds

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Registered trials

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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.