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01.12.2015 | Research article | Ausgabe 1/2015 Open Access

BMC Public Health 1/2015

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

Zeitschrift:
BMC Public Health > Ausgabe 1/2015
Autoren:
Milene Cristine Pessoa, Larissa Loures Mendes, Crizian Saar Gomes, Paula Andréa Martins, Gustavo Velasquez-Melendez
Wichtige Hinweise

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

MCP, LLM and GVM assisted with the study coordination, data management, carried out the statistical analysis and drafted the manuscript. CSG helped with the statistical analysis and to draft and revise the manuscript. PAM drafted and revised the manuscript. All authors read and approved the final manuscript.

Availability of data and materials

Not applicable.

Abstract

Background

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.

Methods

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.

Results

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.

Discussion

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.

Conclusion

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.
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