Evidence map›Paper›PMID 31035336›Full record

ArticleInternational journal of environmental research and public health2019

How Do Neighbourhood Definitions Influence the Associations between Built Environment and Physical Activity?

Suzanne Mavoa, Nasser Bagheri, Mohammad J Koohsari, Andrew T Kaczynski, Karen E Lamb, Koichiro Oka, David O'Sullivan, Karen Witten

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
16.3field-weighted citation impact, top 1% 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

32 citing papers in PubMed, 3 syntheses or guidelines pooled it, 75 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. The Association between Green Space and Adolescents' Mental Well-Being: A Systematic Review.International journal of environmental research and public health · 2020
    Pooled it
  4. Trial
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  10. Frequency of regular walking among Croatian adults.Arhiv za higijenu rada i toksikologiju · 2024
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  17. Developing a Health-Spatial Indicator System for a Healthy City in Small and Midsized Cities.International journal of environmental research and public health · 2022
    Article
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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

8 authors at 8 institutions in 4 countries.

Suzanne MavoaSHORE and Whariki Research Centre, School of Public Health, Massey University, P.O. Box 6137, Auckland 1141, New Zealand. suzanne.mavoa@unimelb.edu.au.ORCID 0000-0002-6071-2988
Nasser BagheriThe Visualisation and Decision Analytics (VIDEA) lab, Centre for Mental Health Research, Research School of Population Health, College of Health and Medicine, The Australian National University, Canberra, ACT 2601, Australia. nasser.bagheri@anu.edu.au.
Mohammad J KoohsariFaculty of Sport Sciences, Waseda University, Saitama 359-1192, Japan. Javad.Koohsari@baker.edu.au.
Andrew T KaczynskiPrevention Research Center, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA. ATKACZYN@mailbox.sc.edu.
Karen E LambMurdoch Children's Research Institute, Melbourne, VIC 3052, Australia. karen.lamb@mcri.edu.au.
Koichiro OkaFaculty of Sport Sciences, Waseda University, Saitama 359-1192, Japan. koka@waseda.jp.
David O'SullivanSchool of Geography, Environment and Earth Sciences, Victoria University, Wellington 6012, New Zealand. david.osullivan@vuw.ac.nz.
Karen WittenSHORE and Whariki Research Centre, School of Public Health, Massey University, P.O. Box 6137, Auckland 1141, New Zealand. K.Witten@massey.ac.nz.ORCID 0000-0003-2637-8565
Australian National University · AUBaker Heart and Diabetes Institute · AUMassey University · NZMurdoch Children's Research Institute · AUThe University of Melbourne · AUUniversity of South Carolina · USVictoria University of Wellington · NZWaseda University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Researchers investigating relationships between the neighbourhood environment and health first need to decide on the spatial extent of the neighbourhood they are interested in. This decision is an important and ongoing methodological challenge since different methods of defining and delineating neighbourhood boundaries can produce different results. This paper explores this issue in the context of a New Zealand-based study of the relationship between the built environment and multiple measures of physical activity. Geographic information systems were used to measure three built environment attributes-dwelling density, street connectivity, and neighbourhood destination accessibility-using seven different neighbourhood definitions (three administrative unit boundaries, and 500, 800, 1000- and 1500-m road network buffers). The associations between the three built environment measures and five measures of physical activity (mean accelerometer counts per hour, percentage time in moderate-vigorous physical activity, self-reported walking for transport, self-reported walking for recreation and self-reported walking for all purposes) were modelled for each neighbourhood definition. The combination of the choice of neighbourhood definition, built environment measure, and physical activity measure determined whether evidence of an association was detected or not. Results demonstrated that, while there was no single ideal neighbourhood definition, the built environment was most consistently associated with a range of physical activity measures when the 800-m and 1000-m road network buffers were used. For the street connectivity and destination accessibility measures, associations with physical activity were less likely to be detected at smaller scales (less than 800 m). In line with some previous research, this study demonstrated that the choice of neighbourhood definition can influence whether or not an association between the built environment and adults' physical activity is detected or not. This study additionally highlighted the importance of the choice of built environment attribute and physical activity measures. While we identified the 800-m and 1000-m road network buffers as the neighbourhood definitions most consistently associated with a range of physical activity measures, it is important that researchers carefully consider the most appropriate type of neighbourhood definition and scale for the particular aim and participants, especially at smaller scales.

Indexed as

Built EnvironmentExerciseResidence CharacteristicsAdultAgedFemaleGeographic Information SystemsHumansMaleNew ZealandSelf Reportbuilt environmentneighbourhoodphysical activityscalewalking

Identifiers

PMID31035336
PMCPMC6540146
OpenAlexW2942335625

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.