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The association between neighborhood economic hardship, the retail food environment, fast food intake, and obesity: findings from the Survey of the Health of Wisconsin

Overview of attention for article published in BMC Public Health, March 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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13 X users
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2 Facebook pages

Citations

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36 Dimensions

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178 Mendeley
Title
The association between neighborhood economic hardship, the retail food environment, fast food intake, and obesity: findings from the Survey of the Health of Wisconsin
Published in
BMC Public Health, March 2015
DOI 10.1186/s12889-015-1576-x
Pubmed ID
Authors

Michael Laxy, Kristen C Malecki, Marjory L Givens, Matthew C Walsh, F Javier Nieto

Abstract

Neighborhood-level characteristics such as economic hardship and the retail food environment are assumed to be correlated and to influence the consumers' dietary behavior and health status, but few studies have investigated these different relationships comprehensively in a single study. This work aims to investigate the association between neighborhood-level economic hardship, the retail food environment, fast food consumption, and obesity prevalence. Linking data from the population-based Survey of the Health of Wisconsin (SHOW, n = 1,570, 2008-10) and a business database, the Wisconsin Retail Food Environment Index (WRFEI) was defined as the mean distance from each selected household to the three closest supermarkets divided by the mean distance to the three closest convenience stores or fast food restaurants. Based on US census data neighborhood-level economic hardship was defined by the economic hardship index (EHI). Relationships were analyzed using multivariate linear and logistic regression models. SHOW residents living in neighborhoods with the highest economic hardship faced a less favorable retail food environment (WRFEI = 2.53) than residents from neighborhoods with lowest economic hardship (WRFEI = 1.77; p-trend < 0.01). We found no consistent or significant associations between the WRFEI and obesity and only a weak borderline-significant association between access to fast food restaurants and self-reported fast food consumption (≥2 times/week, OR = 0.59-0.62, p = 0.05-0.09) in urban residents. Participants reporting higher frequency of fast food consumption were more likely to be obese (≥2 times vs. <2 times per week, ORobesity = 1.35, p = 0.06). This study indicates that neighborhood-level economic hardship is associated with an unfavorable retail food environment. However inconsistent or non-significant relationships between the retail food environment, fast food consumption, and obesity were observed. More research is needed to enhance methodological approaches to assess the retail food environment and to understand the complex relationship between neighborhood characteristics, health behaviors, and health outcomes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users 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 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 1%
Germany 1 <1%
United Kingdom 1 <1%
Unknown 174 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 15%
Student > Bachelor 25 14%
Student > Master 24 13%
Researcher 16 9%
Student > Doctoral Student 15 8%
Other 35 20%
Unknown 37 21%
Readers by discipline Count As %
Medicine and Dentistry 37 21%
Nursing and Health Professions 28 16%
Social Sciences 22 12%
Psychology 7 4%
Business, Management and Accounting 5 3%
Other 26 15%
Unknown 53 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 13 November 2015.
All research outputs
#3,391,470
of 23,940,793 outputs
Outputs from BMC Public Health
#3,895
of 15,743 outputs
Outputs of similar age
#43,412
of 263,784 outputs
Outputs of similar age from BMC Public Health
#75
of 304 outputs
Altmetric has tracked 23,940,793 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,743 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has done well, scoring higher than 75% 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 263,784 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 304 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.