Evidence map›Paper›PMID 20022285›Full record

ArticleHealth & place2010

Health status and health behaviours in neighbourhoods: a comparison of Glasgow, Scotland and Hamilton, Canada.

Kathi Wilson, John Eyles, Anne Ellaway, Sally Macintyre, Laura Macdonald

Abstract readComparative Study
In one paragraph

Article in Health & place, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Geographic Clustering of Cardiometabolic Risk Factors in Metropolitan Centres in France and Australia.International journal of environmental research and public health · 2016
    Article
  5. 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

5 authors.

Kathi WilsonDepartment of Geography, University of Toronto Mississauga, Mississauga, Ontario, Canada L5L 1C6. kathi.wilson@utoronto.ca
John Eyles
Anne Ellaway
Sally Macintyre
Laura Macdonald

Funding

Medical Research Council MC_U130059821Medical Research Council MC_UP_A540_1022
6 · The paper itself

Abstract

Health status has been demonstrated to vary by neighbourhood socioeconomic status (SES). However, neighbourhood effects may vary between countries. In this study, neighbourhood variations in health outcomes are compared across four socially contrasting neighbourhoods in Glasgow, Scotland and Hamilton, Ontario Canada. Data came from the 2001 wave of the West of Scotland Twenty-07 Longitudinal Study and a 2000/2001 cross-sectional survey conducted in Hamilton. The results of the comparison point to important variations in the relationship between neighbourhood SES and health. While both cities display a socioeconomic gradient with respect to various measures of health and health behaviours, for some outcome measures the high SES neighbourhoods in Glasgow display distributions similar to those found in the low SES neighbourhoods in Hamilton. Our results suggest that a low SES neighbourhood in one country may not mean the same for health as a low SES neighbourhood in another country. As such, country context may explain the distribution of health status and health behaviours among socially contrasting neighbourhoods, and neighbourhood variations in health may be context specific.

Indexed as

Health BehaviorHealth StatusResidence CharacteristicsAdolescentAdultAgedCross-Cultural ComparisonFemaleHumansLongitudinal StudiesMaleMiddle AgedOntarioScotlandSocial ClassYoung Adult

Identifiers

PMID20022285
PMCPMC2954309

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.