Evidence map›Paper›PMID 31073340›Full record

ArticleEuropean review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity2019

Is every-day walking in older adults more analogous to dual-task walking or to usual walking? Elucidating the gaps between gait performance in the lab and during 24/7 monitoring.

Inbar Hillel, Eran Gazit, Alice Nieuwboer, Laura Avanzino, Lynn Rochester, Andrea Cereatti, Ugo Della Croce, Marcel Olde Rikkert, Bastiaan R Bloem, Elisa Pelosin and 5 more

Abstract read
In one paragraph

Article in European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 136 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
136citing 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

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

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  12. Real-world walking and activity patterns in community-dwelling older adults: a cross-sectional analysis of baseline data from the SMART-AGE trial.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026
    Article
  13. Parkinsonian gait improvement through vibratory stride parameter feedback.Journal of neuroengineering and rehabilitation · 2026
    Article
  14. Observational
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  16. What is new in Freezing of Gait?Journal of neurology · 2026
    Review
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76 more citing papers are in PubMed but not listed here.

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

15 authors.

Inbar Hillel1Center for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Eran Gazit1Center for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Alice NieuwboerDepartment of Rehabilitation Sciences, Neuromotor Rehabilitation Research Group, Leuven, KU Belgium.
Laura Avanzino3IRCCS San Martino Teaching Hospital, Genoa, Italy.
Lynn Rochester5Institute of Neuroscience, Newcastle University Institute for Ageing, Clinical Ageing Research Unit, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, UK.
Andrea Cereatti7Department of Biomedical Sciences, Bioengineering unit, University of Sassari, Sassari, Italy.
Ugo Della Croce7Department of Biomedical Sciences, Bioengineering unit, University of Sassari, Sassari, Italy.
Marcel Olde Rikkert9Department of Geriatric Medicine, Donders Centre for Medical Neuroscience, Radboudumc Alzheimer Center, Radboud university medical center, Nijmegen, The Netherlands.
Bastiaan R Bloem10Department of Neurology, Donders Centre for Medical Neuroscience, Radboud university medical center, Nijmegen, The Netherlands.
Elisa Pelosin3IRCCS San Martino Teaching Hospital, Genoa, Italy.
Silvia Del Din5Institute of Neuroscience, Newcastle University Institute for Ageing, Clinical Ageing Research Unit, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, UK.
Pieter GinisDepartment of Rehabilitation Sciences, Neuromotor Rehabilitation Research Group, Leuven, KU Belgium.
Nir Giladi1Center for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Anat Mirelman1Center for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Jeffrey M Hausdorff1Center for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe traditional evaluation of gait in the laboratory during structured testing has provided important insights, but is limited by its "snapshot" character and observation in an unnatural environment. Wearables enable monitoring of gait in real-world environments over a week. Initial findings show that in-lab and real-world measures differ. As a step towards better understanding these gaps, we directly compared in-lab usual-walking (UW) and dual-task walking (DTW) to daily-living measures of gait.

methodsIn-lab gait features (e.g., gait speed, step regularity, and stride regularity) derived from UW and DTW were compared to the same gait features during daily-living in 150 elderly fallers (age: 76.5 ± 6.3 years, 37.6% men). In both settings, features were extracted from a lower-back accelerometer. In the real-world setting, subjects were asked to wear the device for 1 week and pre-processing detected 30-s daily-living walking bouts. A histogram of all walking bouts was determined for each walking feature for each subject and then each subject's typical (percentile 50, median), worst (percentile 10) and the best (percentile 90) values over the week were determined for each feature. Statistics of reliability were assessed using Intra-Class correlations and Bland-Altman plots.

resultsAs expected, in-lab gait speed, step regularity, and stride regularity were worse during DTW, compared to UW. In-lab gait speed, step regularity, and stride regularity during UW were significantly higher (i.e., better) than the typical daily-living values (

conclusionsGait values measured during relatively long (30-s) daily-living walking bouts are more similar to the corresponding values obtained in the lab during dual-task walking, as compared to usual walking. Still, gait performance during most daily-living walking bouts is worse than that measured during usual and dual-tasking in the lab. The values measured in the lab do not reliably reflect daily-living measures. That is, an older adult's typical daily-living gait cannot be estimated by simply measuring walking in a structured, laboratory setting.

Indexed as

AccelerometerAgingDual taskingGaitMobilityWearables

Identifiers

PMID31073340
PMCPMC6498572

What OpenQuestion holds

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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.