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Food environment and fruit and vegetable intake in a urban population: A multilevel analysis

Overview of attention for article published in BMC Public Health, October 2015
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  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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8 X users
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Citations

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68 Dimensions

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209 Mendeley
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Title
Food environment and fruit and vegetable intake in a urban population: A multilevel analysis
Published in
BMC Public Health, October 2015
DOI 10.1186/s12889-015-2277-1
Pubmed ID
Authors

Milene Cristine Pessoa, Larissa Loures Mendes, Crizian Saar Gomes, Paula Andréa Martins, Gustavo Velasquez-Melendez

Abstract

Environmental, social and individual factors influence eating patterns, which in turn affect the risk of many chronic diseases. This study aimed to estimate associations between environmental factors and the consumption of fruit and vegetables among adults in a Brazilian urban context. Data from the surveillance system for risk factors for chronic diseases (VIGITEL) of Brazilian Ministry of Health were used. A cross-sectional telephone survey (VIGITEL - 2008-2010) was carried out with 5826 adults in the urban area of Belo Horizonte. Individual variables were collected. The frequency of fruit and vegetables consumption was assessed from number of servings, weekly frequency and an intake score was calculated. Georeferenced variables were used to characterize the food environment. The density of healthy food outlets (stores specialized in selling fruit and vegetables), unhealthy food outlets (bars, snack bars and food trucks/trailers) and the neighborhood family income were investigated and associated with fruit and vegetables intake score. Weighted multilevel linear regression was used to evaluate the associations between the environment variables and the fruit and vegetables intake score. Higher fruit and vegetables intake scores were observed in neighborhoods with higher density of healthy food outlets and higher income. Lower scores were observed in neighborhood with higher density of unhealthy food outlets. These associations were adjusted by individual variables such as gender, age, physical activity, sugar sweetened beverages consumption, education level and smoking. The food environment might explain some of the socioeconomic disparities with respect to healthy food intake and health outcomes. Healthy food stores are less common in socially disadvantaged neighborhoods, and therefore, healthy foods such as fruits and vegetables are less available or are of a lower quality in lower income areas. Food environment characteristics and neighborhood socioeconomic level had significant associations with fruit and vegetable intake score. These are initial findings that require further investigation within the middle income world populations and the role of the environment with respect to both healthy and unhealthy food acquisition and intake.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 209 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 <1%
Brazil 1 <1%
Unknown 207 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 49 23%
Student > Ph. D. Student 22 11%
Student > Bachelor 22 11%
Researcher 20 10%
Student > Doctoral Student 14 7%
Other 31 15%
Unknown 51 24%
Readers by discipline Count As %
Nursing and Health Professions 32 15%
Social Sciences 22 11%
Medicine and Dentistry 21 10%
Agricultural and Biological Sciences 16 8%
Psychology 7 3%
Other 38 18%
Unknown 73 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 11 November 2015.
All research outputs
#6,077,515
of 22,829,683 outputs
Outputs from BMC Public Health
#6,276
of 14,871 outputs
Outputs of similar age
#73,850
of 277,499 outputs
Outputs of similar age from BMC Public Health
#104
of 267 outputs
Altmetric has tracked 22,829,683 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 14,871 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has gotten more attention than average, scoring higher than 57% 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 277,499 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 267 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.