Effects of Acupuncture on the Muscle Fatigue Recovery in Different Diameters of Needle

침체굵기에 따른 자침의 근피로도 회복에 미치는 영향

  • Hwang, Yo-Sun (Division of Meridian and Structural Medicine, School of Korean Medicine, Pusan National University) ;
  • Park, Chin-Su (Division of Meridian and Structural Medicine, School of Korean Medicine, Pusan National University) ;
  • Koo, Sungtae (Division of Meridian and Structural Medicine, School of Korean Medicine, Pusan National University)
  • 황요순 (부산대학교 한의학전문대학원 경락구조의학부) ;
  • 박진수 (부산대학교 한의학전문대학원 경락구조의학부) ;
  • 구성태 (부산대학교 한의학전문대학원 경락구조의학부)
  • Received : 2012.12.06
  • Accepted : 2012.12.24
  • Published : 2012.12.27

Abstract

Objectives : The aim of the study is to find out whether effect of acupuncture is depending on the diameter of needle, which is a possible component of dose of acupuncture needling. Methods : To compare acupuncture effects in different diameters of needle, we measured the changes in muscle fatigue recovery using surface electromyogram(sEMG) in healthy 8 volunteers. Muscle fatigue was induced by 20 times sit-up for 1 min. Immediately after induction of muscle fatigue, acupuncture needle was inserted into ST36 or ST25 for 10 min by diameters of 0.20 mm, 0.30 mm, or 0.40 mm needles. The sEMG recording was followed by acupuncture for 30 min. As a control group, sEMG was recorded for the same period at rest after muscle fatigue induction. Results : In both of ST 36 and ST 25, stimulation with 0.4 mm diameter needle showed significant rapid recovery followed by short period of muscle fatigue increase. Stimulation with 0.2 mm diameter significantly suppressed the increase of muscle fatigue. Conclusions : These data suggest that acupuncture effect is, at least in part, dependent on diameter of needle. Therefore, diameter of needle is also considered to achieve effective outcome of acupuncture.

Keywords

References

  1. Filshie J, White A. Introduction. In: Filshie J, White A. Medical acupuncture: A Western scientific approach. London : Churchill Livingstone. 1998 : 6.
  2. Romita VV, Suk A, Henry JL. Parametric studies on electroacupuncture-like stimulation in a rat model: effects of intensity, frequency, and duration of stimulation on evoked antinociception. Brain Research Bulletin. 1997 ; 42 : 289-96. https://doi.org/10.1016/S0361-9230(96)00264-X
  3. Lao L, Zhang RX, Zhang G, Wang X, Berman BM, Ren K. A parametric study of electroacupuncture on persistent hyperalgesia and Fos protein expression in rats. Brain Res. 2004 ; 1020 : 18-29. https://doi.org/10.1016/j.brainres.2004.01.092
  4. Bigland-Ritchie B, Cafarelli E, Vollestad NK. Fatigue of submaximal static contractions. Acta Physiol Scand Suppl. 1986 ; 556 : 137-48.
  5. Duchene J, Goubel F. EMG spectral shift as an indicator of fatigability in an heterogeneous muscle group. Eur J Appl Physiol Occup Physiol. 1990 ; 61 : 81-7. https://doi.org/10.1007/BF00236698
  6. Krivickas LS, Taylor A, Maniar RM, Mascha E, Reisman SS. Is spectral analysis of the surface electromyographic signal a clinically useful tool for evaluation of skeletal muscle fatigue? J Clin Neurophysiol. 1998 ; 15 : 138-45. https://doi.org/10.1097/00004691-199803000-00006
  7. Aaras A, Veierod MB, Larsen S, Ortengren R, Ro O. Reproducibility and stability of normalized EMG measurements on musculus trapezius. Ergonomics. 1996 ; 39 : 171-85. https://doi.org/10.1080/00140139608964449
  8. Viitasalo JH, Komi PV. Signal characteristics of EMG with special reference to reproducibility of measurements. Acta Physiol Scand. 1975 ; 93 : 531-9. https://doi.org/10.1111/j.1748-1716.1975.tb05845.x
  9. Yang JF, Winter DA. Electromyography reliability in maximal and submaximal isometric contractions. Arch Phys Med Rehabil. 1983 ; 64 : 417-20.
  10. Gerdle B, Henriksson-Larsen K, Lorentzon R, Wretling ML. Dependence of the mean power frequency of the electromyogram on muscle force and fibre type. Acta Physiol Scand. 1991 ; 142 : 457-65. https://doi.org/10.1111/j.1748-1716.1991.tb09180.x
  11. Karlsson S, Erlandson BE, Gerdle B. A personal computer-based system for real-time analysis of surface EMG signals during static and dynamic contractions. J Electromyogr Kinesiol. 1994 ; 4 : 170-80. https://doi.org/10.1016/1050-6411(94)90018-3
  12. Mannion AF, Junge A, Taimela S, Muntener M, Lorenzo K, Dvorak J. Active therapy for chronic low back pain: part 3. Factors influencing self-rated disability and its change following therapy. Spine(Phila Pa 1976). 2001 ; 26 : 920-9. https://doi.org/10.1097/00007632-200104150-00015
  13. De la Barrera EJ, Milner TE. The effects of skinfold thickness on the selectivity of surface EMG. Electroencephalogr Clin Neurophysiol. 1994 ; 93 : 91-9. https://doi.org/10.1016/0168-5597(94)90071-X
  14. Hemingway MA, Biedermann HJ, Inglis J. Electromyographic recordings of paraspinal muscles: variations related to subcutaneous tissue thickness. Biofeedback Self Regul. 1995 ; 20 : 39-49. https://doi.org/10.1007/BF01712765
  15. Petrofsky JS. Frequency and amplitude analysis of the EMG during exercise on the bicycle ergometer. Eur J Appl Physiol Occup Physiol. 1979 ; 41 : 1-15. https://doi.org/10.1007/BF00424464
  16. Ament W, Bonga GJ, Hof AL, Verkerke GJ. EMG median power frequency in an exhausting exercise. J Electromyogr Kinesiol. 1993; 3 : 214-20. https://doi.org/10.1016/1050-6411(93)90010-T
  17. Luca D, Luca V, Duta M, Sbenghe M, Stan M. Comparative evaluation of the genetic toxicity of organophosphate pesticides by various mutagenicity tests. Rev Med Chir Soc Med Nat Iasi. 1984 ; 88 : 531-4.
  18. Christensen H, Fuglsang-Frederiksen A. Quantitative surface EMG during sustained and intermittent submaximal contractions. Electroencephalogr Clin Neurophysiol. 1988 ; 70 : 239-47. https://doi.org/10.1016/0013-4694(88)90084-3
  19. Gerdle B, Larsson B, Karlsson S. Criterion validation of surface EMG variables as fatigue indicators using peak torque: a study of repetitive maximum isokinetic knee extensions. J Electromyogr Kinesiol. 2000 ; 10 : 225-32. https://doi.org/10.1016/S1050-6411(00)00011-0
  20. Vollestad NK. Measurement of human muscle fatigue. J Neurosci Methods. 1997 ; 74 : 219-27. https://doi.org/10.1016/S0165-0270(97)02251-6
  21. Basmajian JV, Gopal DN, Ghista DN. Electrodiagnostic model for motor unit action potential(MUAP) generation. Am J Phys Med. 1985 ; 64 : 279-94.