Evidence map›Paper›PMID 31340812›Full record

ArticleInternational journal of health geographics2019

Towards a comprehensive set of GPS-based indicators reflecting the multidimensional nature of daily mobility for applications in health and aging research.

Michelle Pasquale Fillekes, Eleftheria Giannouli, Eun-Kyeong Kim, Wiebren Zijlstra, Robert Weibel

Abstract read
In one paragraph

Article in International journal of health geographics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

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

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  6. Neighborhood Walkability Is Associated With Global Positioning System-Derived Community Mobility of Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
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  7. Global Positioning System Indicators of Community Mobility and Future Health Outcomes Among Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
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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.

Michelle Pasquale FillekesDepartment of Geography, University of Zurich, Winterthurerstrasse 190, 8057, Zurich, Switzerland. michelle.fillekes@geo.uzh.ch.ORCID 0000-0001-7957-5808
Eleftheria GiannouliInstitute of Movement and Sport Gerontology, German Sport University Cologne, Am Sportpark Müngersdorf 6, 50933, Cologne, Germany.ORCID 0000-0001-7762-1348
Eun-Kyeong KimDepartment of Geography, University of Zurich, Winterthurerstrasse 190, 8057, Zurich, Switzerland.ORCID 0000-0001-7986-8002
Wiebren ZijlstraInstitute of Movement and Sport Gerontology, German Sport University Cologne, Am Sportpark Müngersdorf 6, 50933, Cologne, Germany.ORCID 0000-0002-3038-1575
Robert WeibelDepartment of Geography, University of Zurich, Winterthurerstrasse 190, 8057, Zurich, Switzerland.ORCID 0000-0002-2425-0077

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGPS tracking is increasingly used in health and aging research to objectively and unobtrusively assess individuals' daily-life mobility. However, mobility is a complex concept and its thorough description based on GPS-derived mobility indicators remains challenging.

methodsWith the aim of reflecting the breadth of aspects incorporated in daily mobility, we propose a conceptual framework to classify GPS-derived mobility indicators based on their characteristic and analytical properties for application in health and aging research. In order to demonstrate how the classification framework can be applied, existing mobility indicators as used in existing studies are classified according to the proposed framework. Then, we propose and compute a set of selected mobility indicators based on real-life GPS data of 95 older adults that reflects diverse aspects of individuals' daily mobility. To explore latent dimensions that underlie the mobility indicators, we conduct a factor analysis.

resultsThe proposed framework enables a conceptual classification of mobility indicators based on the characteristic and analytical aspects they reflect. Characteristic aspects inform about the content of the mobility indicator and comprise categories related to space, time, movement scope, and attribute. Analytical aspects inform how a mobility indicator is aggregated with respect to temporal scale and statistical property. The proposed categories complement existing studies that often underrepresent mobility indicators involving timing, temporal distributions, and stop-move segmentations of movements. The factor analysis uncovers the following six dimensions required to obtain a comprehensive view of an older adult's daily mobility: extent of life space, quantity of out-of-home activities, time spent in active transport modes, stability of life space, elongation of life space, and timing of mobility.

conclusionThis research advocates incorporating GPS-based mobility indicators that reflect the multi-dimensional nature of individuals' daily mobility in future health- and aging-related research. This will foster a better understanding of what aspects of mobility are key to healthy aging.

Indexed as

Activities of Daily LivingGeographic Information SystemsSmartphoneAgedAged, 80 and overAgingBiomedical ResearchFemaleHealthy AgingHumansMaleMiddle AgedAmbulatory assessmentClassificationConceptual frameworkDimensions of mobilityHealthy agingMobility indicatorMulti-dimensionalReal-life assessmentSpatial activity

Identifiers

PMID31340812
PMCPMC6657041

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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.