10.5061/DRYAD.GB5MKKWQ0
Blumfield, Michelle
0000-0002-6502-4121
Nutrition Research Australia
Starck, Carlene
Nutrition Research Australia
Keighley, Tim
0000-0001-9375-153X
Nutrition Research Australia
Petocz, Peter
Macquarie University
Roesler, Anna
0000-0001-9446-4700
Flinders University
Inan-Eroglu, Elif
0000-0001-9788-7266
University of Sydney
Cassettari, Tim
Nutrition Research Australia
Marshall, Skye
0000-0001-8953-5068
Nutrition Research Australia
Fayet-Moore, Flavia
Nutrition Research Australia
2020 NRAUS Australia New Zealand Food Category Cost Dataset
Dryad
dataset
2021
FOS: Health sciences
Kellogg's (United States)
https://ror.org/01b2bzj52
Nutrition Research Australia*
Nutrition Research Australia
2021-06-06T00:00:00Z
2021-06-06T00:00:00Z
en
973961 bytes
4
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
This Australian and New Zealand food category cost dataset was created to
inform diet and economic modelling for low and medium socioeconomic
households in Australia and New Zealand. The dataset was created according
to the INFORMAS protocol, which details the methods to systematically and
consistently collect and analyse information on the price of foods, meals
and affordability of diets in different countries globally. Food
categories were informed by the Food Standards Australian New Zealand
(FSANZ) AUSNUT (AUStralian Food and NUTrient Database) 2011-13 database,
with additional food categories created to account for frequently consumed
and culturally important foods.
The dataset was created according to the INFORMAS protocol [1], which
detailed the methods to collect and analyse information systematically and
consistently on the price of foods, meals, and affordability of diets in
different countries globally. Cost data were collected from four
supermarkets in each country: Australia and New Zealand. In Australia, two
(Coles Merrylands and Woolworths Auburn) were located in a low and two
(Coles Zetland and Woolworths Burwood) were located in a medium
metropolitan socioeconomic area in New South Wales from 7-11th December
2020. In New Zealand, two (Countdown Hamilton Central and Pak ‘n Save
Hamilton Lake) were located in a low and two (Countdown Rototuna North and
Pak ‘n Save Rosa Birch Park) in a medium socioeconomic area in the North
Island, from 16-18th December 2020. Locations in Australia were selected
based on the Australian Bureau of Statistics Index of Relative
Socio-Economic Advantage and Disadvantage (IRSAD) [2]. The index ranks
areas from most disadvantaged to most advantaged using a scale of 1 to 10.
IRSAD quintile 1 was chosen to represent low socio-economic status and
quintile 3 for medium SES socio-economic status. Locations in New Zealand
were chosen using the 2018 NZ Index of Deprivation and statistical area 2
boundaries [3]. Low socio-economic areas were defined by deciles 8-10 and
medium socio-economic areas by deciles 4-6. The supermarket locations were
chosen according to accessibility to researchers. Data were collected by
five trained researchers with qualifications in nutrition and dietetics
and/or nutrition science. All foods were aggregated into a reduced number
of food categories informed by the Food Standards Australian New Zealand
(FSANZ) AUSNUT (AUStralian Food and NUTrient Database) 2011-13 database,
with additional food categories created to account for frequently consumed
and culturally important foods. Nutrient data for each food category can
therefore be linked to the Australian Food and Nutrient (AUSNUT) 2011-13
database [4] and NZ Food Composition Database (NZFCDB) [5] using the
8-digit codes provided for Australia and New Zealand, respectively. Data
were collected for three representative foods within each food category,
based on criteria used in the INFORMAS protocol: (i) the lowest
non-discounted price was chosen from the most commonly available product
size, (ii) the produce was available nationally, (iii) fresh produce of
poor quality was omitted. One sample was collected per representative food
product per store, leading to a total of 12 food price samples for each
food category. The exception was for the ‘breakfast cereal, unfortified,
sugars ≤15g/100g’ food category in the NZ dataset, which included only
four food price samples because only one representative product per
supermarket was identified. Variables in this dataset include: (i) food
category and description, (ii) brand and name of representative food,
(iii) product size, (iv) cost per product, and (v) 8-digit code to link
product to nutrient composition data (AUSNUT and NZFCDB). References
Vandevijvere, S.; Mackay, S.; Waterlander, W. INFORMAS Protocol: Food
Prices Module [Internet]. Available online:
https://auckland.figshare.com/articles/journal_contribution/INFORMAS_Protocol_Food_Prices_Module/5627440/1 (accessed on 25 October). 2071.0 - Census of Population and Housing: Reflecting Australia - Stories from the Census, 2016 Available online: https://www.abs.gov.au/ausstats/abs@.nsf/Lookup/by%20Subject/2071.0~2016~Main%20Features~Socio-Economic%20Advantage%20and%20Disadvantage~123 (accessed on 10 December). Socioeconomic Deprivation Indexes: NZDep and NZiDep, Department of Public Health. Available online: https://www.otago.ac.nz/wellington/departments/publichealth/research/hirp/otago020194.html#2018 (accessed on 10 December) AUSNUT 2011-2013 food nutrient database. Available online: https://www.foodstandards.gov.au/science/monitoringnutrients/ausnut/ausnutdatafiles/Pages/foodnutrient.aspx (accessed on 15 November). NZ Food Composition Data. Available online: https://www.foodcomposition.co.nz/ (accessed on 10 December)
The uploaded data includes an Excel spreadsheet where a separate worksheet
is provided for the Australian food price database and New Zealand food
price database, respectively. All cost data are presented to two decimal
points, and the mean and standard deviation of each food category is
presented. For some representative foods in NZ, the only NFCDB food code
available was for a cooked product, whereas the product is purchased raw
and cooked prior to eating, undergoing a change in weight between the raw
and cooked versions. In these cases, a conversion factor was used to
account for the weight difference between the raw and cooked versions, to
ensure that nutrient information (on accessing from the NZFCDB) was
accurate. This conversion factor was developed based on the weight
differences between the cooked and raw versions, and checked for accuracy
by comparing quantities of key nutrients in the cooked vs raw versions of
the product.