Comparison of the acute metabolic and cardiovascular effects of electrical stimulation and voluntary exercise
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.4.04Keywords:
Electrical stimulation, Bicycle ergometry, Blood lipid profile, HDL, Triglycerides, Heart rate, Exercise.Dimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Despite being marketed as a fat reduction tool, the effects of electrical stimulation on blood lipid profiles remain underexplored. This study aimed to compare the acute effects of electrical stimulation and voluntary exercise on heart rate, respiratory rate, blood pressure, and blood lipid parameters, including cholesterol, triglycerides, and HDL levels. Ten healthy males (mean age: 24.6 ± 1.35 years) participated in a randomized crossover study. Each underwent 20 minutes of either electrical stimulation (faradic current at 50 Hz, 3 seconds stimulation, 6 seconds rest, applied bilaterally to quadriceps) or cycling (60-70% of maximal heart rate), with a 7-day washout period between sessions. Pre- and post-intervention measures included heart rate, respiratory rate, blood pressure, cholesterol, triglycerides, and HDL levels. Electrical stimulation significantly altered post-treatment values for cholesterol (183.6 ± 10.94 vs. 185.5 ± 9.70 mg/dL), triglycerides (127.62 ± 29.52 vs. 128.5 ± 29.07 mg/dL), HDL (40.30 ± 4.69 vs. 39.17 ± 5.23 mg/dL), and heart rate (65.60 ± 7.79 vs. 61.40 ± 8.67 beats/min) compared to pre-treatment values (p < 0.05). Similar changes were observed in the cycling group. These findings suggest that electrical stimulation has the potential to influence blood lipid profiles, comparable to moderate-intensity cycling, highlighting its potential as an alternative intervention and warranting further research.Abstract
How to Cite
Downloads
Similar Articles
- Vaishali P. Kuralkar, Prabodh Khampariya, Shashikant M. Bakre, Study and analysis of the stochastic harmonic distortion caused by multiple converters in the power system (micro-grid) , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Rashmi Chandra, Afroz Alam, Phytochemical Analysis Using X-ray Diffraction Spectroscopy (XRD) and GC-MS Analysis of Bioactive Compounds in Cucumis sativus L. (Angiosperms; Cucurbitaceae) , The Scientific Temper: Vol. 13 No. 01 (2022): The Scientific Temper
- S. TAMIL FATHIMA, K. FATHIMA BIBI, Early diagnosis of cardiac disease using Xgboost ensemble voting-based feature selection, based lightweight recurrent neural network approach , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
- Sowmiya M, Banu Rekha B, Malar E, Ensemble classifiers with hybrid feature selection approach for diagnosis of coronary artery disease , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Merla Agnes Mary, Britto Ramesh Kumar, Hybrid GAN with KNN - SMOTE Approach for Class-Imbalance in Non-Invasive Fetal ECG Monitoring , The Scientific Temper: Vol. 16 No. 09 (2025): The Scientific Temper
- Anvar Mavlonov , Saidamir Saidov , Jakhongir Mirsultanov, Rano Boboeva , The Features of bone destruction in rabbits with experimental metabolic syndrome , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Divya R., Vanathi P. T., Harikumar R., An optimized cardiac risk levels classifier based on GMM with min- max model from photoplethysmography signals , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- M. Merla Agnes Mary, S. Britto Ramesh Kumar, DAJO: A Robust Machine Learning–Based Framework for Preprocessing and Denoising Fetal ECG Signals , The Scientific Temper: Vol. 16 No. 09 (2025): The Scientific Temper
- A. Jafar Ali, G. Ravi, D.I. George Amalarethinam, AI-Integrated Swarm-Powered Self-Scheduling Routing for Heterogeneous Wireless Sensor Networks to Maximize Network Lifetime , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- R Prabhu, S Sathya, P Umaeswari, K Saranya, Lung cancer disease identification using hybrid models , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
<< < 1 2 3 4 5 6 7 8 9 10 > >>
You may also start an advanced similarity search for this article.

