Evidence map›Paper›PMID 30055616›Full record

ArticleInternational journal of health geographics2018

Capturing exposure in environmental health research: challenges and opportunities of different activity space models.

Tiina E Laatikainen, Kamyar Hasanzadeh, Marketta Kyttä

Abstract read
In one paragraph

Article in International journal of health geographics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 4 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

24 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. A review of geospatial exposure models and approaches for health data integration.Journal of exposure science & environmental epidemiology · 2025
    Review
  7. Deconstructing rurality to better "place" health data.International journal of geographical information science : IJGIS · 2025
    Article
  8. Article
  9. Article
  10. Environmental health perceptions of urban youth from low-income communities: A qualitative photovoice study and framework.Health expectations : an international journal of public participation in health care and health policy · 2023
    Article
  11. Article
  12. Article
  13. Spatial Equity of PMInternational journal of environmental research and public health · 2022
    Article
  14. Article
  15. Article
  16. Do Individuals' Activity Structures Influence Their PMInternational journal of environmental research and public health · 2021
    Article
  17. Article
  18. Article
  19. Article
  20. 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

3 authors.

Tiina E LaatikainenDepartment of Built Environment, Aalto University, PO Box 14100, 00076, Aalto, Finland. tiina.laatikainen@aalto.fi.
Kamyar HasanzadehDepartment of Built Environment, Aalto University, PO Box 14100, 00076, Aalto, Finland.
Marketta KyttäDepartment of Built Environment, Aalto University, PO Box 14100, 00076, Aalto, Finland.

Funding

Academy of Finland (FI) 13297753
6 · The paper itself

Abstract

backgroundThe built environment health promotion has attracted notable attention across a wide spectrum of health-related research over the past decade. However, the results about the contextual effects on health and PA are highly heterogeneous. The discrepancies between the results can potentially be partly explained by the diverse use of different spatial units of analysis in assessing individuals' exposure to various environment characteristics. This study investigated whether different residential and activity space units of analysis yield distinct results regarding the association between the built environment and health. In addition, this study examines the challenges and opportunities of the different spatial units of analysis for environmental health-related research.

methodsTwo common residential units of analysis and two novel activity space models were used to examine older adults' wellbeing in relation to the built environment features in the Helsinki Metropolitan Area, Finland. An administrative unit, 500 m residential buffer, home range model and individualized residential exposure model were used to assess the associations between the built environment and wellbeing of respondent's (n = 844).

resultsAll four different spatial units of analysis yield distinct results regarding the associations between the built environment characteristics and wellbeing. A positive association between green space and health was found only when exposure was assessed with individualized residential exposure model. Walkability index and the length of pedestrian and bicycle roads were found to positively correlate with perceived wellbeing measures only with a home range model. Additionally, all units of analysis differed from each other in terms of size, shape, and how they capture different contextual measures.

conclusionsThe results show that different spatial units of analysis result in considerably different measurements of built environment. In turn, the differences derived from the use of different spatial units seem to considerably affect the associations between environment characteristics and wellbeing measures. Although it is not easy to argue about the correctness of these measurements, what is evident is that they can reveal different wellbeing outcomes. While some methods are especially usable to determine the availability of environmental opportunities that promote active travel and the related health outcomes, others can provide us with insight into the mechanisms how the actual exposure to green structure can enhance wellbeing.

Indexed as

Environment DesignSpatial AnalysisAgedBiomedical ResearchEnvironmental HealthExerciseFemaleFinlandHumansMaleMiddle AgedWalkingActivity spaceBuilt environmentExposureNeighborhoodPPGISWellbeing

Identifiers

PMID30055616
PMCPMC6064075

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.