Evidence map›Paper›PMID 29986681›Full record

ArticleBMC public health2018

The relationship between objectively-measured attributes of the built environment and selected cardiovascular risk factors in a South African urban setting.

Pasmore Malambo, Anniza De Villiers, Estelle V Lambert, Thandi Puoane, Andre P Kengne

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 4 pooled it
2.5field-weighted citation impact, top 10% 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

9 citing papers in PubMed, 4 syntheses or guidelines pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Associations of Urban Built Environment with Cardiovascular Risks and Mortality: a Systematic Review.Journal of urban health : bulletin of the New York Academy of Medicine · 2023
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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

5 authors at 3 institutions in 1 country.

Pasmore MalamboFaculty of Community and Health Sciences, School of Public Health, University of Western Cape, Robert Sobukwe Rd, Bellville, Cape Town, 7535, South Africa. pmalambo@hotmail.com.
Anniza De VilliersSouth African Medical Research Council, Francie van Zijl Drive, Parowvallei, P.O. Box 19070, Cape Town, Tygerberg, 7505, South Africa.
Estelle V LambertDivision of Exercise Science and Sports Medicine, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, P.O. Box 115, Cape Town, Newlands, 7725, South Africa.
Thandi PuoaneFaculty of Community and Health Sciences, School of Public Health, University of Western Cape, Robert Sobukwe Rd, Bellville, Cape Town, 7535, South Africa.
Andre P KengneSouth African Medical Research Council, Francie van Zijl Drive, Parowvallei, P.O. Box 19070, Cape Town, Tygerberg, 7505, South Africa.
South African Medical Research Council · ZAUniversity of the Western Cape · ZAUniversity of Cape Town · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvidence concerning the relationship between objectively-measured attributes of the built environment with cardio-metabolic risk in populations from lower- and middle-income countries is lacking. In this paper, we describe the association between the objectively-measured built environment with body mass index, blood pressure and physical activity in adult South Africans.

methodsThis cross-sectional study included 341 adults aged ≥35 years drawn from the Cape Town arm of the Prospective Urban Rural Epidemiology (PURE) cohort study. All Cape Town PURE participants were invited to take part in the study. Actigraph GT3X accelerometer and Geographic Information Systems were used to measure physical activity and built environment attributes (community center, shopping center and taxi rank).

resultsIn age and sex adjusted models (reference 500 m), access to community centers (1000 m) was positively related to body mass index [beta 4.70 (95%CI: 2.06 to 7.34)] and diastolic blood pressure [4.97 (0.00 to 9.95)]. Distance from a community center (1600 m) was positively related to diastolic blood pressure [6.58 (1.57 to 11.58)] and inversely with moderate-to-vigorous physical activity [- 69.30 (- 134.92 to - 3.70)]. Distance to a shopping center (1600 m) was positively related to body mass index [4.78 (1.11 to 8.45)] and shopping center (1000 m) was positively related to systolic blood pressure respectively [76.99 (0.03 to 83.95)].

conclusionDistance to community and shopping centers were significantly associated with BMI, systolic, diastolic blood pressure and moderate-to-vigorous physical activity. Future research should include multiple aspects of built environment variables in order to provide for a broader understanding of their effect on cardiovascular risk profile of African populations.

Indexed as

Built EnvironmentAccelerometryAdultAgedBlood PressureBody Mass IndexCardiovascular DiseasesCitiesCohort StudiesCross-Sectional StudiesExerciseFemaleGeographic Information SystemsHumansMaleMiddle AgedAccelerometerBlood pressureBody mass indexBuilt environmentGeographic information systemObjective measurementPhysical activityRisk factorsSouth AfricaWalkability

Identifiers

PMID29986681
PMCPMC6038294
OpenAlexW2813113916

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.