Evidence map›Paper›PMID 26844089›Full record

ArticlePreventive medicine reports2015

Neighbourhood environments and obesity among adults: A multilevel analysis of an urban Brazilian context.

Fernanda Penido Matozinhos, Crizian Saar Gomes, Amanda Cristina de Souza Andrade, Larissa Loures Mendes, Milene Cristine Pessoa, Amélia Augusta de Lima Friche, Gustavo Velasquez-Melendez

Abstract read
In one paragraph

Article in Preventive medicine reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Reply to LL Mendes et al.Advances in nutrition (Bethesda, Md.) · 2020
    Article
  9. Article
  10. Obesity and Urban Environments.International journal of environmental research and public health · 2019
    Review
  11. Nutrition status of children in Latin America.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2017
    Review
  12. Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Fernanda Penido MatozinhosUniversidade Federal de Minas Gerais, Department of Maternal and Child Nursing and Public Health, Av. Alfredo Balena, 190, Bairro Santa Efigênia, 30130-100 Belo Horizonte, Minas Gerais, Brazil.
Crizian Saar GomesUniversidade Federal de Minas Gerais, Department of Maternal and Child Nursing and Public Health, Av. Alfredo Balena, 190, Bairro Santa Efigênia, 30130-100 Belo Horizonte, Minas Gerais, Brazil.
Amanda Cristina de Souza AndradeUniversidade Federal de Minas Gerais, Observatory for Urban Health, Av. Alfredo Balena, 190, Bairro Santa Efigênia, 30130-100 Belo Horizonte, Minas Gerais, Brazil.
Larissa Loures MendesUniversidade Federal de Juiz de Fora, R. José Lourenço Kelmer, Martelos, Juiz de Fora, MG, 36036-330 Juiz de Fora, Minas Gerais, Brazil.
Milene Cristine PessoaUniversidade Federal de Viçosa, Av. Peter Henry Rolfs, s/n, Campus Universitário, 36570-900 Viçosa, Minas Gerais, Brazil.
Amélia Augusta de Lima FricheUniversidade Federal de Minas Gerais, Observatory for Urban Health, Av. Alfredo Balena, 190, Bairro Santa Efigênia, 30130-100 Belo Horizonte, Minas Gerais, Brazil.
Gustavo Velasquez-MelendezUniversidade Federal de Minas Gerais, Department of Maternal and Child Nursing and Public Health, Av. Alfredo Balena, 190, Bairro Santa Efigênia, 30130-100 Belo Horizonte, Minas Gerais, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective. This study identified environmental variables associated with obesity in the adult population of a city in Brazil. Methods. 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. Results. 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. Conclusions. 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.

Indexed as

Multilevel analysisObesityPublic healthTelephone survey

Identifiers

PMID26844089
PMCPMC4721387

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.