Evidence map›Paper›PMID 35062523›Full record

ArticleSensors (Basel, Switzerland)2022

How Long Should GPS Recording Lengths Be to Capture the Community Mobility of An Older Clinical Population? A Parkinson's Example.

Lynn Zhu, Patrick Boissy, Christian Duval, Guangyong Zou, Mandar Jog, Manuel Montero-Odasso, Mark Speechley

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Using GPS Technologies to Examine Community Mobility in Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023
    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

7 authors.

Lynn ZhuDepartment of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5C1, Canada.ORCID 0000-0002-0452-7550
Patrick BoissyEcological Mobility in Aging and Parkinson's (EMAP) Research Group, Montréal, QC H2L 2C4, Canada.ORCID 0000-0001-6582-4519
Christian DuvalDépartement des Sciences de L'activité Physique, Université du Québec à Montréal, Montreal, QC H2L 2C4, Canada.ORCID 0000-0001-5906-1041
Guangyong ZouDepartment of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5C1, Canada.
Mandar JogEcological Mobility in Aging and Parkinson's (EMAP) Research Group, Montréal, QC H2L 2C4, Canada.ORCID 0000-0001-7513-8651
Manuel Montero-OdassoDepartment of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5C1, Canada.
Mark SpeechleyDepartment of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5C1, Canada.

Funding

CIHR 200907AMG-208147-AML-CFEB-56596Government of Ontario Ontario Graduate ScholarshipParkwood Hospital Joseph Scott Studentship
6 · The paper itself

Abstract

Wearable global position system (GPS) technology can help those working with older populations and people living with movement disorders monitor and maintain their mobility level. Health research using GPS often employs inconsistent recording lengths due to the lack of a standard minimum GPS recording length for a clinical context. Our work aimed to recommend a GPS recording length for an older clinical population. Over 14 days, 70 older adults with Parkinson's disease wore the wireless inertial motion unit with GPS (WIMU-GPS) during waking hours to capture daily "time outside", "trip count", "hotspots count" and "area size travelled". The longest recording length accounting for weekend and weekdays was ≥7 days of ≥800 daily minutes of data (14 participants with 156, 483.9 min recorded). We compared the error rate generated when using data based on recording lengths shorter than this sample. The smallest percentage errors were observed across all outcomes, except "hotspots count", with daily recordings ≥500 min (8.3 h). Eight recording days will capture mobility variability throughout days of the week. This study adds empirical evidence to the sensor literature on the required minimum duration of GPS recording.

Indexed as

Parkinson DiseaseWearable Electronic DevicesAgedGeographic Information SystemsHumanscommunity mobilityGPSolder adultsParkinson’s diseaserecording techniquesampling lengthwearable technology

Identifiers

PMID35062523
PMCPMC8781530

What OpenQuestion holds

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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.