Evidence map›Paper›PMID 40419591›Full record

ArticleScientific reports2025

Varying effectiveness of real-time biofeedback across various activities in preserving lumbar Lordotic curvature using an inertial measurement system.

Ju Chan Kim, Byung Ju Cho, Hui Dong Lim, Keewon Kim, Sun Gun Chung

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

5 authors.

Ju Chan KimDepartment of Rehabilitation Medicine, National Traffic Injury Rehabilitation Hospital, Yangpyeong, Republic of Korea.
Byung Ju ChoDepartment of Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Hui Dong LimDepartment of Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Keewon KimDepartment of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Sun Gun ChungDepartment of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea. suncg@snu.ac.kr.

Funding

Ministry of Health and Welfare NRCTR-EX24002Ministry of Science and ICT, South Korea 2016M3A9F1941984
6 · The paper itself

Abstract

Preserving lumbar lordotic curvature (LLC) is considered an important strategy for both managing low back pain (LBP) and preventing its exacerbation; however, this approach has traditionally been limited to postural education. This study aimed to evaluate the effectiveness of a real-time biofeedback system that uses inertial sensors, and to compare its impact across various activities. Ten male participants with LBP wore sensor-equipped clothing while performing four daily activities commonly associated with an increased risk of LBP, under varying conditions of auditory feedback and postural education. The relative angles from the sensors were monitored in real-time as lumbar lordotic angle (LLA), with alarms triggered when LLA values dropped below a preset threshold. The impact of increasing LLA was assessed through regression analysis. For continuous flexion activities, such as sitting and mopping, auditory feedback significantly increased LLA by 10.2° and 10.5°, respectively (p < 0.001 for both). For repeated flexion tasks, such as picking-up and squatting, auditory feedback showed less or no effect compared with postural education. The feedback increased LLA by 5.8° in the picking-up task (p < 0.001), but was ineffective in squatting. These findings suggest that real-time biofeedback may be more effective in continuous flexion, whereas it appears to be limited in repetitive flexion.

Indexed as

Biofeedback, PsychologyLow Back PainLumbar VertebraeAdultHumansMalePostureYoung Adult

Identifiers

PMID40419591
PMCPMC12106741

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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.