Evidence map›Paper›PMID 31635100›Full record

ArticleSensors (Basel, Switzerland)2019

Assessing Older Adults' Daily Mobility: A Comparison of GPS-Derived and Self-Reported Mobility Indicators.

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

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

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  16. Map-based assessment of older adults' life space: validity and reliability.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2020
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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

6 authors.

Michelle Pasquale FillekesDepartment of Geography, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland. michelle.fillekes@geo.uzh.ch.ORCID 0000-0001-7957-5808
Eun-Kyeong KimDepartment of Geography, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland. eun-kyeong.kim@geo.uzh.ch.ORCID 0000-0001-7986-8002
Rieke TrumpfInstitute of Movement and Sport Gerontology, German Sport University Cologne, Am Sportpark Müngersdorf 6, 50933 Cologne, Germany. r.trumpf@dshs-koeln.de.
Wiebren ZijlstraInstitute of Movement and Sport Gerontology, German Sport University Cologne, Am Sportpark Müngersdorf 6, 50933 Cologne, Germany. zijlstra@dshs-koeln.de.
Eleftheria GiannouliInstitute of Movement and Sport Gerontology, German Sport University Cologne, Am Sportpark Müngersdorf 6, 50933 Cologne, Germany. e.giannouli@dshs-koeln.de.ORCID 0000-0001-7762-1348
Robert WeibelDepartment of Geography, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland. robert.weibel@geo.uzh.ch.ORCID 0000-0002-2425-0077

Funding

Paul-Kuth-Stiftung (Wuppertal) -Velux Stiftung 917
6 · The paper itself

Abstract

Interest in global positioning system (GPS)-based mobility assessment for health and aging research is growing, and with it the demand for validated GPS-based mobility indicators. Time out of home (TOH) and number of activity locations (#ALs) are two indicators that are often derived from GPS data, despite lacking consensus regarding thresholds to be used to extract those as well as limited knowledge about their validity. Using 7 days of GPS and diary data of 35 older adults, we make the following three main contributions. First, we perform a sensitivity analysis to investigate how using spatial and temporal thresholds to compute TOH and #ALs affects the agreement between self-reported and GPS-based indicators. Second, we show how daily self-reported and GPS-derived mobility indicators are compared. Third, we explore whether the type and duration of self-reported activity events are related to the degree of correspondence between reported and GPS event. Highest indicator agreement was found for temporal interpolation (

Indexed as

Activities of Daily LivingGeographic Information SystemsAgedAged, 80 and overFemaleHumansMaleSelf ReportWearable Electronic Devicesactivity locationconvergent validityglobal positioning systemhealthy agingmobilitymobility indicatorsreal-lifeself-reportssensor-basedtime out of home

Identifiers

PMID31635100
PMCPMC6833043

What OpenQuestion holds

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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.