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Socioeconomic differences in the cost, availability and quality of healthy food in Sydney

Overview of attention for article published in Australian and New Zealand Journal of Public Health, July 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

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4 news outlets
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1 X user

Citations

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16 Dimensions

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70 Mendeley
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Title
Socioeconomic differences in the cost, availability and quality of healthy food in Sydney
Published in
Australian and New Zealand Journal of Public Health, July 2017
DOI 10.1111/1753-6405.12694
Pubmed ID
Authors

Belinda Crawford, Roy Byun, Emily Mitchell, Susan Thompson, Bin Jalaludin, Siranda Torvaldsen

Abstract

To compare the cost of a basket of staple foods, together with the availability and quality of fresh fruit and vegetables, by supermarket store type in high and low socioeconomic suburbs of Sydney. A food basket survey was undertaken in 100 supermarkets in the 20 highest and 20 lowest socioeconomic suburbs of Sydney. We assessed the cost of 46 foods, the range of 30 fresh fruit and vegetables and the quality of ten fresh fruit and vegetables. Two major supermarket retailers, a discount supermarket chain and independent grocery stores were surveyed. The food basket was significantly cheaper in low compared to high socioeconomic suburbs ($177 vs $189, p<0.01). Discount supermarkets were at least 30% cheaper than other supermarket stores. There were fewer varieties and poorer quality fruit and vegetables in stores in low socioeconomic suburbs. Food basket prices and the availability and quality of fruit and vegetables varied significantly by store type and socioeconomic status of suburb. Implications for public health: A nationwide food and nutrition surveillance system is required to inform public health policy and practice initiatives. In addition to the food retail environment, these initiatives must address the underlying contributors to inequity and food insecurity for disadvantaged groups.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 20%
Student > Ph. D. Student 13 19%
Researcher 9 13%
Student > Master 6 9%
Professor 3 4%
Other 9 13%
Unknown 16 23%
Readers by discipline Count As %
Nursing and Health Professions 14 20%
Medicine and Dentistry 10 14%
Social Sciences 6 9%
Economics, Econometrics and Finance 4 6%
Agricultural and Biological Sciences 2 3%
Other 12 17%
Unknown 22 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 September 2023.
All research outputs
#1,095,049
of 25,382,440 outputs
Outputs from Australian and New Zealand Journal of Public Health
#208
of 1,910 outputs
Outputs of similar age
#21,949
of 323,887 outputs
Outputs of similar age from Australian and New Zealand Journal of Public Health
#9
of 39 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,910 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.3. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 323,887 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.