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Disparities in healthy food zoning, farmers’ market availability, and fruit and vegetable consumption among North Carolina residents

Overview of attention for article published in Archives of Public Health, August 2015
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Title
Disparities in healthy food zoning, farmers’ market availability, and fruit and vegetable consumption among North Carolina residents
Published in
Archives of Public Health, August 2015
DOI 10.1186/s13690-015-0085-9
Pubmed ID
Authors

Stephanie Bell Jilcott Pitts, Mariel Leah Mayo Acheson, Rachel K Ward, Qiang Wu, Jared T McGuirt, Sally L Bullock, Mandee F Lancaster, Justin Raines, Alice S Ammerman

Abstract

Context and purpose of the study. To examine (1) associations between county-level zoning to support farmers' market placement and county-level farmers' market availability, rural/urban designation, percent African American residents, and percent of residents living below poverty and (2) individual-level associations between zoning to support farmers' markets; fruit and vegetable consumption and body mass index (BMI) among a random sample of residents of six North Carolina (NC) counties. Zoning ordinances were scored to indicate supportiveness for healthy food outlets. Number of farmers' markets (per capita) was obtained from the NC-Community Transformation Grant Project Fruit and Vegetable Outlet Inventory (2013). County-level census data on rural/urban status, percent African American, and percent poverty were obtained. For data on farmers' market shopping, fruit and vegetable consumption, and BMI, trained interviewers conducted a random digit dial telephone survey of residents of six NC counties (3 urban and 3 rural). Pearson correlation coefficients and multilevel linear regression models were used to examine county-level and individual-level associations between zoning supportiveness, farmers' market availability, and fruit and vegetable consumption and BMI. At the county-level, healthier food zoning was greater in more urban areas and areas with less poverty. At the individual-level, self-reported fruit and vegetable consumption was associated with healthier food zoning. Disparities in zoning to promote healthy eating should be further examined, and future studies should assess whether amending zoning ordinances will lead to greater availability of healthy foods and changes in dietary behavior and health outcomes.

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The data shown below were collected from the profiles of 3 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 26%
Student > Ph. D. Student 9 17%
Student > Bachelor 4 8%
Other 3 6%
Student > Doctoral Student 2 4%
Other 7 13%
Unknown 14 26%
Readers by discipline Count As %
Social Sciences 12 23%
Nursing and Health Professions 6 11%
Agricultural and Biological Sciences 4 8%
Medicine and Dentistry 4 8%
Business, Management and Accounting 2 4%
Other 10 19%
Unknown 15 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 September 2015.
All research outputs
#15,517,312
of 25,373,627 outputs
Outputs from Archives of Public Health
#635
of 1,144 outputs
Outputs of similar age
#141,174
of 279,406 outputs
Outputs of similar age from Archives of Public Health
#6
of 15 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,144 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 279,406 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.