Evidence map›Paper›PMID 39409524›Full record

Observational studySensors (Basel, Switzerland)2024

Exploring the Influence of BMI on Gait Metrics: A Comprehensive Analysis of Spatiotemporal Parameters and Stability Indicators.

Lianne Koinis, Monish Maharaj, Pragadesh Natarajan, R Dineth Fonseka, Vinuja Fernando, Ralph J Mobbs

Abstract readObservational Study
In one paragraph

Observational study in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

6 authors.

Lianne KoinisNeuroSpine Surgery Research Group (NSURG), Randwick 2031, Australia.ORCID 0000-0001-5955-0910
Monish MaharajNeuroSpine Surgery Research Group (NSURG), Randwick 2031, Australia.
Pragadesh NatarajanNeuroSpine Surgery Research Group (NSURG), Randwick 2031, Australia.ORCID 0000-0002-7459-8805
R Dineth FonsekaNeuroSpine Surgery Research Group (NSURG), Randwick 2031, Australia.ORCID 0000-0002-7748-5101
Vinuja FernandoWearable and Gait Assessment Research Group (WAGAR), Prince of Wales Private Hospital, Randwick 2031, Australia.
Ralph J MobbsNeuroSpine Surgery Research Group (NSURG), Randwick 2031, Australia.ORCID 0000-0001-6542-6836

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGait analysis is a vital tool for evaluating overall health and predicting outcomes such as mortality and cognitive decline. This study explores how normal and obese BMI categories impact gait dynamics, addressing gaps in understanding the effect of body composition on specific gait parameters. RESEARCH QUESTION: The primary objective is to investigate differences in spatiotemporal gait parameters-specifically, gait speed, step length, cadence, and double support time-between normal and obese BMI groups to understand the effects of obesity on gait.

methodsThis observational case-control study analyzed spatiotemporal gait metrics from 163 participants, using inertial measurement units (IMUs) to collect data on various gait parameters. Statistical analyses explored the relationship between BMI categories and these metrics.

resultsNo significant differences were found in gait speed, cadence, stride duration, or double support time between the normal and obese groups. However, significant differences were identified in age, hypertension prevalence, balance problems, and the incidence of falls, emphasizing the complex effects of obesity on factors influencing gait stability. SIGNIFICANCE: This study contributes to our understanding of obesity's impact on gait by highlighting the need to consider associated health and stability parameters. These findings prompt a re-evaluation of how BMI is integrated into clinical gait assessments and emphasize the necessity for personalized healthcare strategies. This research highlights the importance of future studies with larger, more diverse populations and a wider array of biomechanical measures to dissect the relationship between BMI, body composition, and gait dynamics.

Indexed as

Body Mass IndexGaitObesityAdultAgedBiomechanical PhenomenaCase-Control StudiesFemaleGait AnalysisHumansMaleMiddle AgedPostural BalanceBMIbody composition analysisgait dynamicsinertial measurement units (IMUs)mobilityspatiotemporal gait parameters

Identifiers

PMID39409524
PMCPMC11479383

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.