Evidence map›Paper›PMID 38564846›Full record

Trial reportJournal of biomechanics2024

Real-world data capture of daily limb loading using force-sensing insoles: Feasibility and lessons learned.

Katherine L Hsieh, Kristen M Beavers, Ashley A Weaver, S Delanie Lynch, Isaac B Shaw, Paul W Kline

Abstract readClinical Trial
In one paragraph

Trial report in Journal of biomechanics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

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.

Katherine L HsiehDepartment of Physical Therapy, Byrdine F. Lewis College of Nursing and Health Professions, Georgia State University. Electronic address: khsieh5@gsu.edu.
Kristen M BeaversDepartment of Health and Exercise Science, Wake Forest University.
Ashley A WeaverDepartment of Biomedical Engineering, Wake Forest University School of Medicine.
S Delanie LynchDepartment of Biomedical Engineering, Wake Forest University School of Medicine.
Isaac B ShawDepartment of Physical Therapy, Congdon School of Health Sciences, High Point University.
Paul W KlineDepartment of Physical Therapy, Congdon School of Health Sciences, High Point University; Department of Physical Therapy, Virginia Commonwealth University.

Funding

Wake Forest Claude D. Pepper OAIC - RenewalP30AG021332 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Denise Kathryn Houston · 2002 to 2026
$36.4M
Translational Training in Aging and Alzheimer’s Disease Related DisordersT32AG033534 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI STEPHEN B. KRITCHEVSKY · 2009 to 2026
$3.6M
Incorporating Nutrition, Vests, Education, and Strength Training in Bone Health (INVEST in Bone Health)R01AG059186 · NIA · WAKE FOREST UNIVERSITY · PI BEAVERS, KRISTEN MARIE · 2019 to 2023
$3.0M
The interaction between cognition and the environment on gait in older adults.F32AG077940 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HSIEH, KATHERINE · 2022 to 2022
$70k
NIA NIH HHS F32 AG077940NIA NIH HHS P30 AG021332NIA NIH HHS R01 AG059186NIA NIH HHS T32 AG033534
6 · The paper itself

Abstract

Force-sensing insoles are wearable technology that offer an innovative way to measure loading outside of laboratory settings. Few studies, however, have utilized insoles to measure daily loading in real-world settings. This is an ancillary study of a randomized controlled trial examining the effect of weight loss alone, weight loss plus weighted vest, or weight loss plus resistance training on bone health in older adults. The purpose of this ancillary study was to determine the feasibility of using force-sensing insoles to collect daily limb loading metrics, including peak force, impulse, and loading rate. Forty-four participants completed a baseline visit of three, 2-minute walking trials while wearing force-sensing insoles. During month two of the intervention, 37 participants wore insoles for 4 days for 8 waking hours each day. At 6-month follow-up, participants completed three, two-minute walking trials and a satisfaction questionnaire. Criteria for success in feasibility was defined as: a) > 60 % recruitment rate; b) > 80 % adherence rate; c) > 75 % of usable data, and d) > 75 % participant satisfaction. A 77.3 % recruitment rate was achieved, with 44 participants enrolled. Participants wore their insoles an average of 7.4 hours per day, and insoles recorded an average of 5.5 hours per day. Peak force, impulse, and loading rate collected at baseline and follow-up were 100 % usable. During the real-world settings, 87.8 % of data was deemed usable with an average of 1200 min/participant. Lastly, average satisfaction was 80.5 %. These results suggest that force-sensing insoles appears to be feasible to capture real-world limb loading in older adults.

Indexed as

Mechanical PhenomenaWalkingAgedExtremitiesFeasibility StudiesHumansRandomized Controlled Trials as TopicShoesWeight LossAgingForceLoadsolReal-worldWearable sensors

Identifiers

PMID38564846
PMCPMC11046963

What OpenQuestion holds

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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.