Journal of Medical and Biological Engineering

, Volume 37, Issue 6, pp 912–919 | Cite as

Microcirculatory Characteristics in Neck/Shoulder of the Adults with Sedentary and Exercise Lifestyles

  • Taipau Chia
  • Jian-Guo BauEmail author
  • Yung-Hui Li
  • Shan-Hua Wei
  • Hsin Hsiu
  • Ling Pao
Original Article


High risk of musculoskeletal diseases had been demonstrated in many people with a sedentary lifestyle. As microcirculation provides primary information on tissue health, this paper aims to compare the perfusion characteristics in neck/shoulder of individuals at different physical activity levels. High power laser Doppler flowmetry (LDF) system and averaging algorithm were used to obtain the microcirculatory characteristics. Thirty-two participants with different exercise habit were recruited, which were divided into sedentary group (n = 16) and exercise group (n = 16). The participants in both groups were matched in age, gender, and body mass index. Peripheral blood perfusion signals on the neck-shoulder region pre- and post- upper trapezius stretching were acquired using LDF with a noninvasive wide separation probe. A modified beat-to-beat algorithm was then applied for the analysis of the microcirculatory signals, including pulsatile and nonpulsatile components. The Mann–Whitney U test was used to compare the differences of perfusion characteristics between these two groups. The pulsatile component of LDF signals in the exercise group was greater than that of the sedentary counterparts after the upper trapezius stretching (P < 0.05). Furthermore, the index of perfusion pulsatility (ratio of pulsatile component to mean LDF signal) of the exercise group was significantly higher than that of the sedentary group (P < 0.01). This index could differentiate these two groups both at the baseline and post- stretching. Even with low exercise volume, exercise group with regular physical activity appear noticeably different in microcirculatory characteristics in this study. The subjects who exercised had higher values of microcirculatory pulsatility. These findings may encourage people to exercise more often based on the benefit in microcirculation even with small increases in physical activity volume.


Microcirculation Physical activity Exercise Laser-Doppler flowmetry Pulsatility 



We would like to acknowledge Dr. Fu-Chou Cheng, Stem Cell Center, Department of Medical Research, Taichung Veterans General Hospital, for writing instructions. We also thank Biostatistics Task Force of Taichung Veterans General Hospital for statistical analysis. This work was partially supported by National Science Council with Grant NSC 101-2221-E-241-001.


  1. 1.
    Bauman, A. E. (2004). Updating the evidence that physical activity is good for health: An epidemiological review 2000–2003. Journal of Science and Medicine in Sport, 7, 6–19.CrossRefGoogle Scholar
  2. 2.
    Durstine, J. L., Gordon, B., Wang, Z., & Luo, X. (2013). Chronic disease and the link to physical activity. Journal of Sport and Health Science, 2, 3–11.CrossRefGoogle Scholar
  3. 3.
    Duncker, D. J., & Bache, R. J. (2008). Regulation of coronary blood flow during exercise. Physiological Reviews, 88, 1009–1086.CrossRefGoogle Scholar
  4. 4.
    Kvernmo, H. D., Stefanovska, A., Kirkebøen, K. A., Sterud, B., & Kvernebo, K. (1998). Enhanced endothelium-dependent vasodilatation in human skin vasculature induced by physical conditioning. European Journal of Applied Physiology and Occupational Physiology, 79, 30–36.CrossRefGoogle Scholar
  5. 5.
    Endres, M., Gertz, K., Lindauer, U., Katchanov, J., Schultze, J., Schrock, H., et al. (2003). Mechanisms of stroke protection by physical activity. Annals of Neurology, 54, 582–590.CrossRefGoogle Scholar
  6. 6.
    Jensen, B. R., Sjogaard, G., Bornmyr, S., Arborelius, M., & Jorgensen, K. (1995). Intramuscular laser-Doppler flowmetry in the supraspinatus muscle during isometric contractions. European Journal of Applied Physiology and Occupational Physiology, 71, 373–378.CrossRefGoogle Scholar
  7. 7.
    Røe, C., & Knardahl, S. (2002). Muscle activity and blood flux during standardised data-terminal work. International Journal of Industrial Ergonomics, 30, 251–264.CrossRefGoogle Scholar
  8. 8.
    Clough, G., Chipperfield, A., Byrne, C., De Mul, F., & Gush, R. (2009). Evaluation of a new high power, wide separation laser Doppler probe: Potential measurement of deeper tissue blood flow. Microvascular Research, 78, 155–161.CrossRefGoogle Scholar
  9. 9.
    Chao, P. T., Jan, M. Y., Hsiu, H., Hsu, T. L., Wang, W. K., & Wang, Y. L. (2006). Evaluating microcirculation by pulsatile laser Doppler signal,”. Physics in Medicine & Biology, 51, 845–854.CrossRefGoogle Scholar
  10. 10.
    Hsiu, H., Hsu, W. C., Chang, S. L., Hsu, C. L., Huang, S. M., & Lin, Y. Y. W. (2008). Microcirculatory effect of different skin contacting pressures around the blood pressure. Physiological Measurement, 29, 1421–1434.CrossRefGoogle Scholar
  11. 11.
    Jan, M. Y., Hsiu, H., Hsu, T. L., Wang, Y. Y. L., & Wang, W. K. (2000). The importance of pulsatile microcirculation in relation to hypertension: Studying the relationship between abdominal aortic blood pressure and renal cortex flux. IEEE Engineering in Medicine and Biology, 19, 106–111.Google Scholar
  12. 12.
    Hsiu, H., Hsu, W. C., Wu, Y. F., Hsu, C. L., & Chen, C. Y. (2014). Differences in the skin-surface laser Doppler signals between polycystic ovary syndrome and normal subjects. Microcirculation, 21, 124–130.CrossRefGoogle Scholar
  13. 13.
    Bau, J. G., Chia, T., Chung, Y. F., Chen, K. H., & Wu, S. K. (2013). A novel assessment of flexibility by microcirculatory signals. Sensors, 14, 478–491.CrossRefGoogle Scholar
  14. 14.
    Haskell, W. L., Lee, I. M., Pate, R. R., Powell, K. E., Blair, S. N., Franklin, B. A., et al. (2007). Physical activity and public health. Medicine and Science in Sports and Exercise, 39, 1423–1434.CrossRefGoogle Scholar
  15. 15.
    M. H. Lin and J. Y. Kuo, National Survey of Perceptions of Safety and Health in the Work Environment in Taiwan, Research Report 2013.Google Scholar
  16. 16.
    Feng, B., Liang, Q., Wang, Y., Andersen, L. L., & Szeto, G. (2014). Prevalence of work-related musculoskeletal symptoms of the neck and upper extremity among dentists in China. British Medical Journal Open, 4, e006451.Google Scholar
  17. 17.
    Collins, J. D., & O’sullivan, L. W. (2015). Musculoskeletal disorder prevalence and psychosocial risk exposures by age and gender in a cohort of office based employees in two academic institutions. International Journal of Industrial Ergonomics, 46, 85–97.CrossRefGoogle Scholar
  18. 18.
    Hallman, D. M., Gupta, N., Mathiassen, S. E., & Holtermann, A. (2015). Association between objectively measured sitting time and neck–shoulder pain among blue-collar workers. International Archives of Occupational and Environmental Health, 88, 1031–1042.CrossRefGoogle Scholar
  19. 19.
    Kisner, C., & Colby, L. A. (2007). Therapeutic exercise: Foundations and techniques. Philadelphia: F A Davis Company.Google Scholar
  20. 20.
    Page, P. (2012). Current concepts in muscle stretching for exercise and rehabilitation. International Journal of Sports Physical Therapy, 7, 109–119.Google Scholar
  21. 21.
    Alvarez, D. J., & Rockwell, P. G. (2002). Trigger points: Diagnosis and management. American Family Physician, 65, 653–660.Google Scholar
  22. 22.
    Wang, Y. Y. L., Hsu, T. L., Jan, M. Y., & Wang, W. K. (2010). Review: Theory and applications of the harmonic analysis of arterial pressure pulse waves. Journal of Medical and Biological Engineering, 30, 125–131.CrossRefGoogle Scholar
  23. 23.
    Hsiu, H., Hsu, W. C., Hsu, C. L., Jan, M. Y., & Wang-Lin, Y. Y. (2009). Effects of acupuncture at the Hoku acupoint on the pulsatile laser Doppler signal at the heartbeat frequency. Lasers in Medical Science, 24, 553–560.CrossRefGoogle Scholar
  24. 24.
    Pries, A., Secomb, T., & Gaehtgens, P. (1996). Biophysical aspects of blood flow in the microvasculature. Cardiovascular Research, 32, 654–667.CrossRefGoogle Scholar
  25. 25.
    Bau, J. G., Chia, T., Chung, Y. F., Chen, K. H., & Wu, S. K. (2013). A novel assessment of flexibility by microcirculatory signals. Sensors (Basel), 14, 478–491.CrossRefGoogle Scholar
  26. 26.
    Van Den Brande, P., Von Kemp, K., De Coninck, A., & Debing, E. (1997). Laser Doppler flux characteristics at the skin of the dorsum of the foot in young and in elderly healthy human subjects. Microvascular Research, 53, 156–162.CrossRefGoogle Scholar
  27. 27.
    Strøm, V., Røe, C., & Knardahl, S. (2009). Work-induced pain, trapezius blood flux, and muscle activity in workers with chronic shoulder and neck pain. Pain, 144, 147–155.CrossRefGoogle Scholar
  28. 28.
    Davies, J. I., & Struthers, A. D. (2003). Pulse wave analysis and pulse wave velocity: A critical review of their strengths and weaknesses. Journal of Hypertension, 21, 463–472.CrossRefGoogle Scholar
  29. 29.
    Avolio, A. P., Van Bortel, L. M., Boutouyrie, P., Cockcroft, J. R., Mceniery, C. M., Protogerou, A. D., et al. (2009). Role of pulse pressure amplification in arterial hypertension experts’ opinion and review of the data. Hypertension, 54, 375–383.CrossRefGoogle Scholar
  30. 30.
    Steppan, J., Barodka, V., Berkowitz, D. E., & Nyhan, D. (2011). Vascular stiffness and increased pulse pressure in the aging cardiovascular system. Cardiology Research and Practice, 2011, 1–8.CrossRefGoogle Scholar
  31. 31.
    Lee, Y., & Hwang, K. (2002). Skin thickness of Korean adults. Surgical and Radiologic Anatomy, 24, 183–189.CrossRefGoogle Scholar
  32. 32.
    Braverman, I. M. (1997). The cutaneous microcirculation: ultrastructure and microanatomical organization. Microcirculation, 4, 329–340.CrossRefGoogle Scholar

Copyright information

© Taiwanese Society of Biomedical Engineering 2017

Authors and Affiliations

  1. 1.Department of Safety, Health and Environmental EngineeringHungkuang UniversityTaichungTaiwan
  2. 2.Department of Biomedical EngineeringHungkuang UniversityTaichungTaiwan, ROC
  3. 3.Department of Computer Science and Information EngineeringNational Central UniversityTaoyuanTaiwan
  4. 4.Chung Kang BranchCheng Ching HospitalTaichungTaiwan
  5. 5.Graduate Institute of Biomedical EngineeringNational Taiwan University of Science and TechnologyTaipeiTaiwan
  6. 6.University of Wisconsin-MadisonMadisonUSA

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