Neighbourhood environments and obesity among adults: A multilevel analysis of an urban Brazilian context
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | LOCUS Repositório Institucional da UFV |
Texto Completo: | https://doi.org/10.1016/j.pmedr.2015.04.019 http://www.locus.ufv.br/handle/123456789/12593 |
Resumo: | This study identified environmental variables associated with obesity in the adult population of a city in Brazil. It was conducted using the Surveillance System for Risk and Protective Factors for Chronic Diseases by Telephone Survey from 2008 to 2010. The body mass index (BMI) was calculated from the participants' self-reported weight and height. Obesity was defined as a BMI ≥ 30 kg/m2. The food establishments, georeferenced areas conducive to physical activity, total income of the neighbourhood, homicide rate and population density were used to characterise the environment. In addition, individual variables were considered. A multilevel logistic regression was performed. A total of 5273 individuals were evaluated. The odds of obesity was found to be significantly decreased with increases in the number of establishments that sell healthy food, number of restaurants, number of places for physical activity and total income — in different models. In addition, these associations remained significant after adjustment for age, gender, education and consumption of meat with visible fat. This study contributes to a better understanding of the complex interaction between environmental and individual determinants of obesity and may aid in the development of effective interventions, such as the expansion of obesity control programmes. |
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Neighbourhood environments and obesity among adults: A multilevel analysis of an urban Brazilian contextMultilevel analysisObesityPublic healthTelephone surveyThis study identified environmental variables associated with obesity in the adult population of a city in Brazil. It was conducted using the Surveillance System for Risk and Protective Factors for Chronic Diseases by Telephone Survey from 2008 to 2010. The body mass index (BMI) was calculated from the participants' self-reported weight and height. Obesity was defined as a BMI ≥ 30 kg/m2. The food establishments, georeferenced areas conducive to physical activity, total income of the neighbourhood, homicide rate and population density were used to characterise the environment. In addition, individual variables were considered. A multilevel logistic regression was performed. A total of 5273 individuals were evaluated. The odds of obesity was found to be significantly decreased with increases in the number of establishments that sell healthy food, number of restaurants, number of places for physical activity and total income — in different models. In addition, these associations remained significant after adjustment for age, gender, education and consumption of meat with visible fat. This study contributes to a better understanding of the complex interaction between environmental and individual determinants of obesity and may aid in the development of effective interventions, such as the expansion of obesity control programmes.Preventive Medicine Reports2017-10-31T11:17:11Z2017-10-31T11:17:11Z2015-04-29info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlepdfapplication/pdf2211-3355https://doi.org/10.1016/j.pmedr.2015.04.019http://www.locus.ufv.br/handle/123456789/12593engVol.2, p. 337–341, 2015Matozinhos, Fernanda PenidoGomes, Crizian SaarAndrade, Amanda Cristina de SouzaMendes, Larissa LouresPessoa, Milene CristineFriche, Amélia Augusta de LimaVelasquez-Melendez, Gustavoinfo:eu-repo/semantics/openAccessreponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFV2024-07-12T07:25:13Zoai:locus.ufv.br:123456789/12593Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452024-07-12T07:25:13LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false |
dc.title.none.fl_str_mv |
Neighbourhood environments and obesity among adults: A multilevel analysis of an urban Brazilian context |
title |
Neighbourhood environments and obesity among adults: A multilevel analysis of an urban Brazilian context |
spellingShingle |
Neighbourhood environments and obesity among adults: A multilevel analysis of an urban Brazilian context Matozinhos, Fernanda Penido Multilevel analysis Obesity Public health Telephone survey |
title_short |
Neighbourhood environments and obesity among adults: A multilevel analysis of an urban Brazilian context |
title_full |
Neighbourhood environments and obesity among adults: A multilevel analysis of an urban Brazilian context |
title_fullStr |
Neighbourhood environments and obesity among adults: A multilevel analysis of an urban Brazilian context |
title_full_unstemmed |
Neighbourhood environments and obesity among adults: A multilevel analysis of an urban Brazilian context |
title_sort |
Neighbourhood environments and obesity among adults: A multilevel analysis of an urban Brazilian context |
author |
Matozinhos, Fernanda Penido |
author_facet |
Matozinhos, Fernanda Penido Gomes, Crizian Saar Andrade, Amanda Cristina de Souza Mendes, Larissa Loures Pessoa, Milene Cristine Friche, Amélia Augusta de Lima Velasquez-Melendez, Gustavo |
author_role |
author |
author2 |
Gomes, Crizian Saar Andrade, Amanda Cristina de Souza Mendes, Larissa Loures Pessoa, Milene Cristine Friche, Amélia Augusta de Lima Velasquez-Melendez, Gustavo |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Matozinhos, Fernanda Penido Gomes, Crizian Saar Andrade, Amanda Cristina de Souza Mendes, Larissa Loures Pessoa, Milene Cristine Friche, Amélia Augusta de Lima Velasquez-Melendez, Gustavo |
dc.subject.por.fl_str_mv |
Multilevel analysis Obesity Public health Telephone survey |
topic |
Multilevel analysis Obesity Public health Telephone survey |
description |
This study identified environmental variables associated with obesity in the adult population of a city in Brazil. It was conducted using the Surveillance System for Risk and Protective Factors for Chronic Diseases by Telephone Survey from 2008 to 2010. The body mass index (BMI) was calculated from the participants' self-reported weight and height. Obesity was defined as a BMI ≥ 30 kg/m2. The food establishments, georeferenced areas conducive to physical activity, total income of the neighbourhood, homicide rate and population density were used to characterise the environment. In addition, individual variables were considered. A multilevel logistic regression was performed. A total of 5273 individuals were evaluated. The odds of obesity was found to be significantly decreased with increases in the number of establishments that sell healthy food, number of restaurants, number of places for physical activity and total income — in different models. In addition, these associations remained significant after adjustment for age, gender, education and consumption of meat with visible fat. This study contributes to a better understanding of the complex interaction between environmental and individual determinants of obesity and may aid in the development of effective interventions, such as the expansion of obesity control programmes. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-04-29 2017-10-31T11:17:11Z 2017-10-31T11:17:11Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
2211-3355 https://doi.org/10.1016/j.pmedr.2015.04.019 http://www.locus.ufv.br/handle/123456789/12593 |
identifier_str_mv |
2211-3355 |
url |
https://doi.org/10.1016/j.pmedr.2015.04.019 http://www.locus.ufv.br/handle/123456789/12593 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Vol.2, p. 337–341, 2015 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
pdf application/pdf |
dc.publisher.none.fl_str_mv |
Preventive Medicine Reports |
publisher.none.fl_str_mv |
Preventive Medicine Reports |
dc.source.none.fl_str_mv |
reponame:LOCUS Repositório Institucional da UFV instname:Universidade Federal de Viçosa (UFV) instacron:UFV |
instname_str |
Universidade Federal de Viçosa (UFV) |
instacron_str |
UFV |
institution |
UFV |
reponame_str |
LOCUS Repositório Institucional da UFV |
collection |
LOCUS Repositório Institucional da UFV |
repository.name.fl_str_mv |
LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV) |
repository.mail.fl_str_mv |
fabiojreis@ufv.br |
_version_ |
1822610628837113856 |