Evidence map›Paper›PMID 40418849›Full record

ArticleJMIR mHealth and uHealth2025

Feasibility and Effects of a Gait Assistance and Gait Resistance Training Program Using a Walking-Assist Wearable Robot for Community-Dwelling Older Adults: Single-Group, Pre-, and Posttest Study.

Eunhee Cho, Sinwoo Hwang, Seok-Jae Heo, Bokman Lim, Jewoo Lee, Younbaek Lee

Registry-linked trialAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07277166 (The Effect of Mobile Robot Assisted Gait Training on Gait Performance in Chronic Patients With Impaired Gait Function After Burn Injury), which is not on this 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.

NCT07277166 narecruitingnot on this map

The Effect of Mobile Robot Assisted Gait Training on Gait Performance in Chronic Patients With Impaired Gait Function After Burn Injury : Pilot Study

TypeinterventionalSponsorHangang Sacred Heart HospitalRan2025 to 2026Enrolled20ConditionsBurns, Gait Dysfunction, Robot TrainingArmswearable robot training
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. 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.

Eunhee ChoMo-Im Kim Nursing Research Institute, College of Nursing, Yonsei University, Seoul, Republic of Korea.ORCID 0000-0002-7871-6848
Sinwoo HwangCollege of Nursing, Graduate School, Yonsei University, 50-1 Yonsei-ro, Seodaemoon-gu, Seoul, 03722, Republic of Korea, 82 10-3721-7432.ORCID 0000-0003-0380-8446
Seok-Jae HeoBiostatistics Collaboration Unit, Department of Biomedical Systems Informatics, College of Medicine, Yonsei University, Seoul, Republic of Korea.ORCID 0000-0002-8764-7995
Bokman LimWIRobotics Incorporation, Youngin, Republic of Korea.ORCID 0000-0002-0867-2827
Jewoo LeeWIRobotics Incorporation, Youngin, Republic of Korea.ORCID 0000-0002-2729-6660
Younbaek LeeWIRobotics Incorporation, Youngin, Republic of Korea.ORCID 0000-0001-6711-4174

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Two-thirds of people aged 65 years and older may require help with daily activities such as eating, bathing, and getting in and out of bed or a chair. Walking-assist wearable robots have shown significant improvements in physical function in controlled settings for patients. Objective: In this study, we aimed to assess the feasibility and the effect of a gait assistance and gait resistance training program using a walking-assist wearable robot for community-dwelling older adults. Methods: A total of 23 community-dwelling older adults aged 65 years and older (30 participants recruited, 7 dropped out) enrolled in a 12-session, 6-week gait assistance and gait resistance training program using a walking-assist wearable robot. A single-group, pre- and posttest design was employed to evaluate the feasibility based on program adherence and effectiveness. The primary and secondary outcomes for evaluating effectiveness were walking speed and functional performance, respectively. Results: Regarding the feasibility, the average number of sessions attended was 11.7 out of 12, indicating a mean adherence rate of 97.8%. Linear mixed model analysis revealed significant improvements in walking speed and functional performance at the end of the program compared with baseline. Specifically, the walking speed measured using the 10-Meter Walk Test, which includes self-selected velocity and fastest safe velocity, improved by a mean of 0.15  (SD 0.13) m/s (P<.001) and 0.15 (SD 0.17) m/s (P<.001), respectively. Functional performance also improved, with faster performance in Timed Up-and-Go (mean -0.63, SD 0.92 s; P=.003) and Four Square Step Test (mean -1.71, SD 1.64 s; P≤.001). Leg muscle strength increased across all measured domains, including plantarflexion (mean +7.29, SD 4.92; P=.004), hip adduction (mean +3.03, SD 2.73; P≤.001), hip extension (mean +2.63, SD 2.50; P≤.001), knee extension (mean +2.33, SD 3.12; P≤.001), knee flexion (mean +2.19, SD 2.17; P≤.001), dorsiflexion (mean +2.10, SD 3.06; P≤.001), hip abduction (mean +1.59, SD 1.92; P=.002), and hip flexion (mean +0.90, SD 1.56; P≤.001). Conclusions: This study stands out for applying gait assistance and resistance training across various terrains, unlike previous studies that only tested gait assistance in controlled environments. The results demonstrated significant improvements in walking speed and functional performance in older adults, suggesting the effectiveness of preventive health care services using a walking-assist wearable robot as an intervention that can contribute to improving independent functioning and frailty among community-dwelling older adults.

Indexed as

GaitResistance TrainingRoboticsWalkingWearable Electronic DevicesAgedAged, 80 and overFeasibility StudiesFemaleHumansIndependent LivingMaleexercisemuscle strengtholder adultphysical functional performancewalking speedwearable robot

Identifiers

PMID40418849
PMCPMC12129416

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.