Evidence map›Paper›PMID 35372657›Full record

ArticleSSM - population health2022

An international comparative study of active living environments and hospitalization for Wales and Canada.

Sarah M Mah, Kaberi Dasgupta, Ashley Akbari, Nancy A Ross, Richard Fry

Open access · goldAbstract read
In one paragraph

Article in SSM - population health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 26% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Observational
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 4 institutions in 2 countries.

Sarah M MahDepartment of Geography, McGill University, 705-805 Sherbrooke Street West, Montreal, Quebec, H3A 0B9, Canada.
Kaberi DasguptaDivisions of Internal Medicine, Divisions of Clinical Epidemiology, Divisions of Endocrinology and Metabolism. McGill University Health Centre, 1001 Decarie Boulevard, D02.3312, Montreal, Quebec, H4A 3J1, Canada.
Ashley AkbariPopulation Data Science, Swansea University Medical School, Swansea, UK.
Nancy A RossDepartment of Geography, McGill University, 705-805 Sherbrooke Street West, Montreal, Quebec, H3A 0B9, Canada.
Richard FryPopulation Data Science, Swansea University Medical School, Swansea, UK.
Swansea University · GBMcGill University Health Centre · CAQueen's University · CAUniversity of Toronto · CA

Funding

HCRW_ HRG-20-1755(P)HCRW_ SCG-19-1654Medical Research Council MR/T039329/1
6 · The paper itself

Abstract

Objective: To assess the relationship between ALEs and hospitalization in Wales and Canada. Methods: We performed a population-based comparison using individual-level survey data from the Welsh Health Survey (N = 9968) linked to the Patient Episode Database for Wales, and the Canadian Community Health Survey (N = 40,335) linked to the Discharge Abstract Database. Using equivalent protocols and open-source data for street networks, destinations, and residential density, we derived 5-class measures of the ALE for Wales and Canada (classed 1 through 5, considered least favourable to most favourable for active living, respectively). We evaluated relationships of ALEs to health, behaviours and hospitalization using multivariate regression (reference group was the lowest ALE class 1, considered least favourable for active living). Results: For Canada, those living in the highest ALE class 5 had lower odds of all-cause hospitalization (OR 0.66, 95% CI 0.54 to 0.81; as compared to the lowest ALE class 1). In contrast, those living in the highest ALE class 5 in Wales had higher odds of all-cause hospitalization (OR 1.37, 95% CI 1.04 to 1.80). The relationship between ALEs and cardiometabolic hospitalization was inconclusive for Canada (OR 0.75, 95% CI 0.50 to 1.12), but we observed higher odds of cardiometabolic hospitalization for respondents living in higher ALE classes for Wales (OR 1.46, 95% CI 1.10 to 1.78; comparing ALE class 4 to ALE class 1). Conclusion: Canadian respondents living in high ALE neighbourhoods that are understood to be favourable for active living had lower odds of all-cause hospitalization, whereas Welsh respondents living in high ALEs that were deemed favourable for active living exhibited higher odds of all-cause hospitalization. Environments which promote physical activity in one geographic context may not do so in another. There remains a need to identify relevant context-specific factors that encourage active living.

Indexed as

Active Living EnvironmentsBuilt environmentCanadaHospitalizationLinked DataMorbidityPopulation healthWales UKWalkability

Identifiers

PMID35372657
PMCPMC8965167
OpenAlexW4214641941

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.