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Record W4409804731 · doi:10.2196/68761

Effect of Whole-Body Electromyostimulation Training on Glycemic Control in People With Prediabetes: Protocol for a Pilot Randomized Controlled Trial Study

2025· article· en· W4409804731 on OpenAlexvenueno aff
Mahdieh Shojaa, Katharina Knaub, Norbert Schmitz, Andreas M. Nieß, Barbara Munz, Sarah Rau, Viktoria Feit, Wallen Mphepö, Rahel Dingler, Wolfgang Kemmler

Bibliographic record

VenueJMIR Research Protocols · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsnot available
Fundersnot available
KeywordsGlycemicPrediabetesPreprintMedicineRandomized controlled trialPhysical therapyProtocol (science)Alternative medicineDiabetes mellitusComputer scienceType 2 diabetesSurgeryWorld Wide Web

Abstract

fetched live from OpenAlex

Background Diabetes prevention programs focus on people with prediabetes because they have a greater risk of developing type 2 diabetes mellitus than people with normal blood glucose levels. Weight management can reduce this risk. However, in our largely sedentary society, there is less enthusiasm for regular exercise. Whole-body electromyostimulation (WB-EMS) is a training technology that provides exercise-like effects by inducing muscle contractions using electrical currents. There is evidence that local EMS can improve glucose metabolism. Several studies investigated the effect of WB-EMS on cardiometabolic risk factors including blood glucose control in a population of individuals with metabolic syndrome. However, to the best of our knowledge, there is no randomized controlled trial examining the preliminary efficacy of WB-EMS on hemoglobin A1c (HbA1c) levels in individuals with prediabetes. Objective The objective of this randomized controlled trial is to pilot procedures for a randomized controlled trial testing WB-EMS training on glycemic changes in sedentary adults with prediabetes. Methods A total of 60 community-dwelling sedentary adults aged 40-65 years with prediabetes will be randomized to one of 3 arms: WB-EMS + an activity tracker and a lifestyle education program (LEP) focusing on diabetes prevention, an activity tracker and LEP, or LEP only, with 20 individuals in each arm. The WB-EMS training will consist of 1.5×20 minutes per week. The intervention will last 16 weeks. As a pilot study, our main outcomes concern the number of participants who will be recruited, and comply with intervention and follow-up. The primary efficacy outcome of interest includes hemoglobin A1c. The intention-to-treat analysis will be conducted with the objective of providing CI estimation of treatment effects. Results The recruitment of study participants started in February 2024. At the time of submission of this protocol for publication, the recruitment was still ongoing. As of October 2024, a total of 42 participants were allocated to the study groups. The anticipated date of recruitment completion is July 2025. Conclusions The results of this trial will provide valuable evidence for future investigations comparing the efficacy of the WB-EMS intervention with traditional exercise training to improve glycemic control in this population. Trial Registration ClinicalTrials.gov NCT06188481; https://clinicaltrials.gov/study/NCT06188481 International Registered Report Identifier (IRRID) DERR1-10.2196/68761

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.035
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.055
Threshold uncertainty score0.185

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0350.028
Meta-epidemiology (narrow)0.0070.003
Meta-epidemiology (broad)0.0140.007
Bibliometrics0.0020.004
Science and technology studies0.0030.004
Scholarly communication0.0040.003
Open science0.0030.002
Research integrity0.0080.008
Insufficient payload (model declined to judge)0.0550.009

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.075
GPT teacher head0.502
Teacher spread0.427 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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