ClinicalTrials.gov
public full text
Public Domain
Combination of Light and Ultrasound to Reduce Abdominal Fat
Light and ultrasound can be interesting alternatives to reduce abdominal fat. Thus, the main objective of this study will be to evaluate the effects of these isolated techniques and their association in subcutaneous abdominal localized fat. These techniques will be used adding muscle electrostimulation in all groups. A total of 40 female participants will be recruited at the university outpatient, which will be distributed among four experimental groups: light + sham ultrasound + electrostimulation; light sham + ultrasound + electrostimulation; combined treatment (light + ultrasound) + electrostimulation; sham combined treatment + electrostimulation. The treatments will consist of eight sessions, twice a week for a month, being 90 minutes per session.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Study on Influencing Factors of Skin Complications Related to Insulin Injection in Children With Type 1 Diabetes Mellitus#803230
- Acute Skeletal Muscle Wasting and Relation to Physical Function in Patients Requiring ECMO#881135
- International CoolSculpting: Study to Evaluate Patient Satisfaction for Non-Invasive Fat Reduction in Abdomen and/or Flanks (iCOOL)#804092
- Targeted Fat Reduction of Pseudogynecomastia in the Male Breast Using the ZELTIQ Coolsculpting System#872529
- Quality of Life and Body Image in Women Underwent Thighplasty#830274
Record · ID 884237
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive