Evidence map›Paper›PMID 32163459›Full record

ArticlePloS one2020

Spatial index relating urban environment to health lifestyle and obesity risk in men and women from different age groups.

David Michel Oliveira, Mara Lucia Marques, Daniel Dos Santos, Maria Claudia Bernardes Spexoto, Giovanna Benjamin Togashi, Danilo Alexandre Massini, Dalton Müller Pessôa Filho

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 16% of its field
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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Analysis of inequities between demographic and social determinants associated with overweight and obesity.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2025
    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 at 5 institutions in 1 country.

David Michel OliveiraFederal University at Goiás (UFG/UFJ), Jataí, Goiás, Brazil.ORCID 0000-0003-0658-7693
Mara Lucia MarquesPontificial Catholic University of Campinas (PUC-Campinas), CEATEC, Faculty of Geography, São Paulo, Brazil.
Daniel Dos SantosPostgraduate Program in Health Promotion, University of Franca (UNIFRAN), Franca, São Paulo Brazil.ORCID 0000-0002-5565-2351
Maria Claudia Bernardes SpexotoFederal University at Grande Dourados (UFGD), Dourados, Mato Grosso do Sul, Brasil.ORCID 0000-0001-7681-1422
Giovanna Benjamin TogashiSesc São Paulo, São Paulo, Brazil.ORCID 0000-0002-4456-4452
Danilo Alexandre MassiniPostgraduate Program in Human Development and Technology, Institute of Biosciences, São Paulo State University (UNESP), Rio Claro, São Paulo, Brazil.
Dalton Müller Pessôa FilhoPostgraduate Program in Human Development and Technology, Institute of Biosciences, São Paulo State University (UNESP), Rio Claro, São Paulo, Brazil.ORCID 0000-0003-3975-9260
Universidade Estadual Paulista (Unesp) · BRUniversidade de Franca · BRUniversidade Estadual de Campinas (UNICAMP) · BRUniversidade Federal da Grande Dourados · BRUniversidade Federal de Jataí · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The challenge in the search for relationships between urban space, physical mobility, and health status, is detecting indicators able to link the environment with healthy life habits. Therefore, the objective was to design an urban index for the identification of urban environment propensity for physical activity (PA) and to determine how it relates to lifestyle and anthropometric parametrization of obesity. Participants (N = 318-60.4% women and 39.6% men) were recruited from a mid-sized city with epidemiology and morbidity rates below the average for the mid-west region of Brazil. Body mass index (BMI) was measured and a questionnaire was applied to gather information about PA and life habits. The spatial urban health index (SUHI) was designed in a geographic information system using data from demographic, environmental and urban physical features. The relationship between BMI and PA was verified with multiple linear regression, controlled for SUHI levels. Regarding the BMI of the population, 69.5% were classified in the eutrophic or overweight ranges, with no effect of gender and age. The SUHI classified 63.7% of the urban area favorable to PA. The PA routine was adequate (≥3 sessions with ≥1 h each) for ~80% of the population, as well as healthy habits such as non smoking (~94%) and non alcohol abuse (~55%). The SUHI strengthens the relationships of BMI to weekly frequency (r = -0.68; t = -9.4; p<0.001) and session duration (r = -0.66; t = -2.8; p<0.001) for the whole group by improving the explanatory coefficient in ~25% (R2Adj = 0.61 to R2Adj = 0.85). The SUHI indicated that the urban environment is able to promote healthy life habits by diminishing the "obesogenic" features of the city when physical structures are planned to facilitate PA, whatever the gender and age group.

Indexed as

Urban HealthAdultAgedAge FactorsBody Mass IndexBrazilCitiesEnvironment DesignExerciseFemaleHealth PromotionHealthy LifestyleHumansMaleMiddle AgedObesity

Identifiers

PMID32163459
PMCPMC7067401
OpenAlexW3011127644

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.