improvement of the dynamic responses of heart rate variability patterns after needle and laser acupuncture treatment in patients with burnout syndrome: a transcontinental comparative study

Clicks: 265
ID: 215615
2013
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #226 of 899 articles by views in ACS applied materials & interfaces

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 899 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
We investigated manual needle and laser needle acupuncture as a complementary therapy for patients with burnout syndrome. Twenty patients with a mean age ± SD of 38.7 ± 8.4 years were assigned to two groups, each consisting of ten patients. One group was treated with manual needle acupuncture and the other with laser needle acupuncture. Heart rate, heart rate variability (HRV), and a new score called dynamic acupuncture treatment score (DATS) served as evaluation parameters. The study documented significant effects on heart rate after needle acupuncture treatment and significant effects on HRV caused by both needle and laser needle acupuncture. Based on new neurovegetative acupuncture treatment evaluation scores, it can be stated that both noninvasive laser needle acupuncture and manual needle acupuncture have the potential to be a powerful approach for evidence-based complementary treatment of patients with burnout syndrome. Further transcontinental studies to verify or refute the preliminary findings are in progress.
Reference Key
litscher2013evidence-basedimprovement Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Gerhard Litscher;Cun-Zhi Liu;Lu Wang;Lin-Peng Wang;Qian-Qian Li;Guang-Xia Shi;Ingrid Gaischek;Daniela Litscher;Xiao-Min Wang
Journal ACS applied materials & interfaces
Year 2013
DOI
10.1155/2013/128721
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.