2012
DOI: 10.1017/s1368980012002649
|View full text |Cite
|
Sign up to set email alerts
|

Variation in supermarket exposure to energy-dense snack foods by socio-economic position

Abstract: Objective: The present study aimed to examine the availability of energy-dense, nutrient-poor snack foods (and fruits and vegetables) in supermarkets located in socio-economically advantaged and disadvantaged neighbourhoods. Design: Cross-sectional supermarket audit. Setting: Melbourne, Australia. Measures included product shelf space and number of varieties for soft drinks, crisps, chocolate, confectionery and fruits and vegetables, as well as store size. Subjects: Thirty-five supermarkets (response 83 %) fro… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

6
64
1
2

Year Published

2014
2014
2022
2022

Publication Types

Select...
8
1
1

Relationship

2
8

Authors

Journals

citations
Cited by 56 publications
(73 citation statements)
references
References 23 publications
6
64
1
2
Order By: Relevance
“…First, the individual items themselves have complex associations with obesity. For example, supermarkets can be sources not only of fruits and vegetables but also of empty calorie foods (Cameron et al, 2013). Presence of a gym or pool also does not guarantee its availability as a resource if it is open only to private members.…”
Section: Discussionmentioning
confidence: 99%
“…First, the individual items themselves have complex associations with obesity. For example, supermarkets can be sources not only of fruits and vegetables but also of empty calorie foods (Cameron et al, 2013). Presence of a gym or pool also does not guarantee its availability as a resource if it is open only to private members.…”
Section: Discussionmentioning
confidence: 99%
“…Modification of supermarket stocking practices may similarly represent an effective means of obesity prevention. 266 Future studies are needed to further investigate longitudinal associations among neighborhood characteristics, health behaviors, and CVD risk. Those studies will need to take into consideration cumulative exposure to neighborhood characteristics over extended periods of time because cross-sectional studies provide a very limited understanding of risk increase (eg, increased body fat) over time.…”
Section: Behavioral Mechanismsmentioning
confidence: 99%
“…In the present study, data obtained from 7873 adults (19 years or above) with at least one 24 h dietary recall and weight and height measured were used for analyses, with the results weighted to reflect the Australian population (5)(6)(7) . Age groups were based on the NNPAS age categories (19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40)(41)(42)(43)(44)(45)(46)(47)(48)(49)(50), 51-70 and 70+ years) and socio-economic quintiles were based on the Socio-Economic Index of Disadvantage for Areas (SEIFA), where the first SEIFA quintile indicates the most disadvantaged areas (5) . Country of birth was classified according to whether the respondents were born in Australia, English-speaking countries, or others.…”
Section: Anthropometry and Demographic Characteristicsmentioning
confidence: 99%