Evidence map›Paper›PMID 29552630›Full record

ArticleSSM - population health2018

Urban green space and obesity in older adults: Evidence from Ireland.

Seraphim Dempsey, Seán Lyons, Anne Nolan

Abstract read
In one paragraph

Article in SSM - population health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Relationship between the Duration of Urban Nature and a Lower Waist-Hip Ratio.International journal of environmental research and public health · 2022
    Article
  10. Article
  11. Associations between Nature Exposure and Health: A Review of the Evidence.International journal of environmental research and public health · 2021
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Associations between Body Mass Index and Urban "Green" Streetscape in Cleveland, Ohio, USA.International journal of environmental research and public health · 2018
    Article
  17. 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.

Seraphim DempseyEconomic and Social Research Institute, Sir John Rogerson's Quay, Dublin, Ireland.
Seán LyonsEconomic and Social Research Institute, Sir John Rogerson's Quay, Dublin, Ireland.
Anne NolanEconomic and Social Research Institute, Sir John Rogerson's Quay, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We examine the association between living in an urban area with more or less green space and the probability of being obese. This work involves the creation of a new dataset which combines geo-coded data at the individual level from the Irish Longitudinal Study on Ageing with green space data from the European Urban Atlas 2012. We find evidence suggestive of a u-shaped relationship between green space in urban areas and obesity; those living in areas with the lowest and highest shares of green space within a 1.6 km buffer zone have a higher probability of being classified as obese (BMI [Formula: see text]). The unexpected result that persons in areas with both the lowest and highest shares of green space have a higher probability of being obese than those in areas with intermediate shares, suggests that other characteristics of urban areas may be mediating this relationship.

Indexed as

BMIGreen spacesObjective obesity measuresUrban green space

Identifiers

PMID29552630
PMCPMC5852306

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.