Evidence map›Paper›PMID 40096105›Full record

ArticleSensors (Basel, Switzerland)2025

Gait Spatio-Temporal Parameters Vary Significantly Between Indoor, Outdoor and Different Surfaces.

Lorenzo Brognara, Alberto Arceri, Marco Zironi, Francesco Traina, Cesare Faldini, Antonio Mazzotti

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Observational
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.

Lorenzo BrognaraDepartment of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, 40127 Bologna, Italy.ORCID 0000-0002-5660-9419
Alberto ArceriDepartment of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, 40127 Bologna, Italy.ORCID 0000-0002-6486-6300
Marco ZironiDepartment of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, 40127 Bologna, Italy.
Francesco TrainaDepartment of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, 40127 Bologna, Italy.ORCID 0000-0002-0196-101X
Cesare FaldiniDepartment of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, 40127 Bologna, Italy.ORCID 0000-0001-8152-4778
Antonio MazzottiDepartment of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, 40127 Bologna, Italy.ORCID 0000-0001-9974-4787

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human gait is usually studied in clinical environments, but wearable devices have extended gait analysis beyond traditional assessments. Older adults tend to walk differently indoors and outdoors; however, most gait assessments are conducted on indoor surfaces. It is therefore important to evaluate gait in various outdoor environments. Insights gained from these assessments significantly enhance our understanding of the impact of environmental factors on gait performance and ensure that clinical evaluations are effectively aligned with everyday locomotion. A total of 100 participants with foot pain, 38 young (18-45 years) and 62 older adults (65-80 years), completed a 10-Metre Walk Test (10MWT) in three randomised conditions at their typical, comfortable walking pace, including (1) 10MWT of indoor walking, (2) 10MWT of outdoor walking on grass and (3) 10MWT of outdoor walking on a sidewalk. Wearable inertial sensors recorded gait data and the magnitudes of the following gait measures: gait speed, cadence, stride length, stride duration and asymmetry. A statistical analysis using ANOVA and post hoc comparisons revealed a significantly lower gait speed (

Indexed as

GaitGait AnalysisAdolescentAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedSpatio-Temporal AnalysisWalkingWearable Electronic DevicesYoung Adultfallgaitgait speedoutdoorstride lengthwearable sensor

Identifiers

PMID40096105
PMCPMC11902731

What OpenQuestion holds

Textmetadata
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.