Evidence map›Paper›PMID 40245024›Full record

ArticlePloS one2025

Exploring mobility patterns and social health of older Canadians living at home to inform decision aids about housing: A mixed-methods study.

Diogo Mochcovitch, Allyson Jones, Joshua Goutte, Karine V Plourde, Roberta de Carvalho Corôa, Marie Elf, Louise Meijering, Jodi Sturge, Pierre Bérubé, Stéphane Roche and 2 more

Abstract read
In one paragraph

Article in PloS one, 2025. 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
–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

1 citing paper in PubMed.

  1. 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

12 authors.

Diogo MochcovitchVITAM-Centre de Recherche en Santé Durable, Centre Intégré Universitaire de Santé et de Services Sociaux de la Capitale-Nationale, Quebec, Quebec, Canada.
Allyson JonesDepartment of Physical Therapy, Faculty of Rehabilitation Medicine, Physical Therapy, University of Alberta, Edmonton, Alberta, Canada.
Joshua GoutteVITAM-Centre de Recherche en Santé Durable, Centre Intégré Universitaire de Santé et de Services Sociaux de la Capitale-Nationale, Quebec, Quebec, Canada.
Karine V PlourdeVITAM-Centre de Recherche en Santé Durable, Centre Intégré Universitaire de Santé et de Services Sociaux de la Capitale-Nationale, Quebec, Quebec, Canada.
Roberta de Carvalho CorôaVITAM-Centre de Recherche en Santé Durable, Centre Intégré Universitaire de Santé et de Services Sociaux de la Capitale-Nationale, Quebec, Quebec, Canada.
Marie ElfDepartment of Nursing, School of Health and Welfare, Dalarna University, Fallun, Sweden.ORCID 0000-0001-7044-8896
Louise MeijeringPopulation Research Center, Urban and Regional Studies Institute, University of Groningen, Groningen, The Netherlands.
Jodi SturgePopulation Research Center, Urban and Regional Studies Institute, University of Groningen, Groningen, The Netherlands.
Pierre BérubéGreybox Solutions, Montreal, Quebec, Canada.
Stéphane RocheDépartement des sciences géomatiques, Faculté de foresterie, de géographie et de géomatique, Université Laval, Quebec, Quebec, Canada.
Sabrina Guay-BélangerVITAM-Centre de Recherche en Santé Durable, Centre Intégré Universitaire de Santé et de Services Sociaux de la Capitale-Nationale, Quebec, Quebec, Canada.
France LégaréVITAM-Centre de Recherche en Santé Durable, Centre Intégré Universitaire de Santé et de Services Sociaux de la Capitale-Nationale, Quebec, Quebec, Canada.ORCID 0000-0002-2296-6696

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMany tools support housing decisions for older adults but often overlook mobility patterns and social health. We explored these factors in older Canadians living at home to inform housing decisions.

methodsWe conducted a mixed-methods study with 20 older adults (65+) from Quebec and Alberta living independently or in senior residences with outdoor mobility. Data collection included sociodemographic information, GPS tracking, walking interviews, daily journals, and in-depth interviews. Data from interviews, which explored physical and social assets and barriers to social health and mobility, were analyzed using deductive content analysis in NVivo 12. GPS data were subjected to spatial analysis in QGIS (Quantum Geographic Information System) to map activity spaces and mobility patterns by the number and distance of activities, activity types, and modes of transportation. Daily journals were transcribed into an Excel spreadsheet and compared with GPS data. Overall analysis was guided hierarchically by qualitative data, utilizing verbatim narratives and visualization (activity space maps) to illustrate data convergence.

resultsAmong 20 participants, 14 completed all activities, including GPS trackers. GPS maps showed participants mostly left home to drive for shopping or walking. Over 14 days, participants made an average of 10.4 (±5.8) trips and traveled 186.9 km (±130.4), averaging 16.8 km (±29.8) per day. Transportation modes included car (n=9), walking (n=5), and bus (n=2). Daily journals revealed that participants typically traveled alone. Interviews identified physical assets as libraries and supermarkets (n=10), while social assets were family support when desired (n=13) neighborhood familiarity (n=14), both contributing to social health. Winter weather was the most cited mobility barrier (n=13).

conclusionsThese findings provide actionable insights to guide the development of user-informed decision support tools tailored to the housing decisions of Canadian older adults.

Indexed as

Decision Support TechniquesHousingAgedAged, 80 and overAlbertaCanadaFemaleGeographic Information SystemsHumansIndependent LivingMaleQuebecTransportationWalking

Identifiers

PMID40245024
PMCPMC12005502

What OpenQuestion holds

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LicenceCC BY
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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.