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Evidence-Based Complementary and Alternative Medicine
Volume 2017 (2017), Article ID 9532073, 8 pages
https://doi.org/10.1155/2017/9532073
Research Article

Cold and Spleen-Qi Deficiency Patterns in Korean Medicine Are Associated with Low Resting Metabolic Rate

Mibyeong Research Center, Korea Institute of Oriental Medicine, 1672 Yuseong-daero, Yuseong-gu, Daejeon 305-811, Republic of Korea

Correspondence should be addressed to Siwoo Lee

Received 19 October 2016; Accepted 20 February 2017; Published 6 March 2017

Academic Editor: Vesna Sendula-Jengic

Copyright © 2017 Sujeong Mun et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. Z. Wang, S. Heshka, K. Zhang, C. N. Boozer, and S. B. Heymsfield, “Resting energy expenditure: systematic organization and critique of prediction methods,” Obesity Research, vol. 9, no. 5, pp. 331–336, 2001. View at Publisher · View at Google Scholar · View at Scopus
  2. P. J. M. Weijs, “Validity of predictive equations for resting energy expenditure in US and Dutch overweight and obese class I and II adults aged 18–65 y,” American Journal of Clinical Nutrition, vol. 88, no. 4, pp. 959–970, 2008. View at Google Scholar · View at Scopus
  3. S. B. Heymsfield, D. Gallagher, D. P. Kotler, Z. Wang, D. B. Allison, and S. Heshka, “Body-size dependence of resting energy expenditure can be attributed to nonenergetic homogeneity of fat-free mass,” American Journal of Physiology—Endocrinology and Metabolism, vol. 282, no. 1, pp. E132–E138, 2002. View at Google Scholar · View at Scopus
  4. S. Buscemi, S. Verga, G. Caimi, and G. Cerasola, “A low resting metabolic rate is associated with metabolic syndrome,” Clinical Nutrition, vol. 26, no. 6, pp. 806–809, 2007. View at Publisher · View at Google Scholar · View at Scopus
  5. K. Martin, P. Wallace, P. F. Rust, and W. T. Garvey, “Estimation of resting energy expenditure considering effects of race and diabetes status,” Diabetes Care, vol. 27, no. 6, pp. 1405–1411, 2004. View at Publisher · View at Google Scholar · View at Scopus
  6. M. Monda, G. Messina, C. Mangoni, and B. De Luca, “Resting energy expenditure and fat-free mass do not decline during aging in severely obese women,” Clinical Nutrition, vol. 27, no. 4, pp. 657–659, 2008. View at Publisher · View at Google Scholar · View at Scopus
  7. E. Fabbri, Y. An, J. A. Schrack et al., “Energy metabolism and the burden of multimorbidity in older adults: results from the Baltimore longitudinal study of aging,” Journals of Gerontology—Series A Biological Sciences and Medical Sciences, vol. 70, no. 11, pp. 1297–1303, 2015. View at Publisher · View at Google Scholar · View at Scopus
  8. C. Ruggiero, E. J. Metter, V. Melenovsky et al., “High basal metabolic rate is a risk factor for mortality: the Baltimore Longitudinal Study of Aging,” Journals of Gerontology Series A: Biological Sciences and Medical Sciences, vol. 63, no. 7, pp. 698–706, 2008. View at Google Scholar
  9. WHO Regional Office for the Western Pacific, WHO International Standard Terminologies on Traditional Medicine in the Western Pacific Region, World Health Organization, Geneva, Switzerland, 2007.
  10. A. S. Ferreira and A. J. Lopes, “Chinese medicine pattern differentiation and its implications for clinical practice,” Chinese Journal of Integrative Medicine, vol. 17, no. 11, pp. 818–823, 2011. View at Publisher · View at Google Scholar · View at Scopus
  11. C. Lu, Q. Zha, A. Chang, Y. He, and A. Lu, “Pattern differentiation in traditional chinese medicine can help define specific indications for biomedical therapy in the treatment of rheumatoid arthritis,” Journal of Alternative and Complementary Medicine, vol. 15, no. 9, pp. 1021–1025, 2009. View at Publisher · View at Google Scholar · View at Scopus
  12. T. Deng, Practical Diagnosis in Traditional Chinese Medicine, Churchill Livingstone, Edinburgh, UK, 1999.
  13. T. Yoshino, K. Katayama, K. Munakata et al., “Statistical analysis of hie (cold sensation) and hiesho (cold disorder) in Kampo clinic,” Evidence-Based Complementary and Alternative Medicine, vol. 2013, Article ID 398458, 8 pages, 2013. View at Publisher · View at Google Scholar · View at Scopus
  14. Z. Xu, Q. Chen, Q. Sun et al., “Heat syndrome of traditional Chinese medicine,” Chinese Journal of Comparative Medicine, vol. 19, no. 3, pp. 53–56, 2009. View at Google Scholar
  15. Y.-T. Yin, X.-W. Li, Y. Dong, and J.-R. Shi, “Research progress in biological basis of cold and heat essence of Chinese medicine,” Zhong Xi Yi Jie He Xue Bao, vol. 10, no. 12, pp. 1328–1335, 2012. View at Publisher · View at Google Scholar · View at Scopus
  16. K. Nagashima, T. Yoda, T. Yagishita, A. Taniguchi, T. Hosono, and K. Kanosue, “Thermal regulation and comfort during a mild-cold exposure in young Japanese women complaining of unusual coldness,” Journal of Applied Physiology, vol. 92, no. 3, pp. 1029–1035, 2002. View at Publisher · View at Google Scholar · View at Scopus
  17. H.-J. Jin, Y. Baek, H.-S. Kim, J. Ryu, and S. Lee, “Constitutional multicenter bank linked to Sasang constitutional phenotypic data,” BMC Complementary and Alternative Medicine, vol. 15, no. 1, article 46, 2015. View at Publisher · View at Google Scholar · View at Scopus
  18. J. B. D. V. Weir, “New methods for calculating metabolic rate with special reference to protein metabolism,” The Journal of Physiology, vol. 109, no. 1-2, pp. 1–9, 1949. View at Publisher · View at Google Scholar · View at Scopus
  19. T. T. Haaf and P. J. M. Weijs, “Resting energy expenditure prediction in recreational athletes of 18-35 years: confirmation of cunningham equation and an improved weight-based alternative,” PLOS ONE, vol. 9, no. 10, Article ID 0108460, 2014. View at Publisher · View at Google Scholar · View at Scopus
  20. T. Baek, Y.-J. Park, Y.-B. Park, J.-H. Park, and J.-J. Im, “Health test for searching of correlation and the index of the cold-heat patternization comparison of the questionnaires for the cold-heat patternization and the ordinary,” The Journal of the Korea Institute of Oriental Medical Diagnostics, vol. 9, no. 2, pp. 145–151, 2005. View at Google Scholar
  21. S. Karjalainen, “Thermal comfort and gender: a literature review,” Indoor Air, vol. 22, no. 2, pp. 96–109, 2012. View at Publisher · View at Google Scholar · View at Scopus
  22. A. Yasuoka, H. Kubo, K. Tsuzuki, and N. Isoda, “Interindividual differences in thermal comfort and the responses to skin cooling in young women,” Journal of Thermal Biology, vol. 37, no. 1, pp. 65–71, 2012. View at Publisher · View at Google Scholar · View at Scopus
  23. M. Mozaffarieh, P. Fontana Gasio, A. Schötzau, S. Orgül, J. Flammer, and K. Kräuchi, “Thermal discomfort with cold extremities in relation to age, gender, and body mass index in a random sample of a Swiss urban population,” Population Health Metrics, vol. 8, no. 1, article no. 17, 2010. View at Publisher · View at Google Scholar · View at Scopus
  24. K. Cankar, Ž. Finderle, and M. Štrucl, “Gender differences in cutaneous laser doppler flow response to local direct and contralateral cooling,” Journal of Vascular Research, vol. 37, no. 3, pp. 183–188, 2000. View at Publisher · View at Google Scholar · View at Scopus
  25. R. Solianik, A. Skurvydas, A. Vitkauskiene, and M. Brazaitis, “Gender-specific cold responses induce a similar body-cooling rate but different neuroendocrine and immune responses,” Cryobiology, vol. 69, no. 1, pp. 26–33, 2014. View at Publisher · View at Google Scholar · View at Scopus
  26. M. Lee and Y. Choi, “Systemic reviews of domestic experimental studies of herbal medicines used for hypothyroidism since 2000,” The Journal of Internal Korean Medicine, vol. 36, no. 4, pp. 570–581, 2015. View at Google Scholar
  27. T. Hagedorn, E. Poggiogalle, C. Savina et al., “Indirect calorimetry in obese female subjects: factors influencing the resting metabolic rate,” World Journal of Experimental Medicine, vol. 2, no. 3, pp. 58–64, 2012. View at Publisher · View at Google Scholar
  28. M. J. Müller, A. Bosy-Westphal, D. Kutzner, and M. Heller, “Metabolically active components of fat-free mass and resting energy expenditure in humans: recent lessons from imaging technologies,” Obesity Reviews, vol. 3, no. 2, pp. 113–122, 2002. View at Publisher · View at Google Scholar · View at Scopus
  29. Y. He, A. Lu, C. Lu et al., “Symptom combinations assessed in traditional Chinese medicine and its predictive role in ACR20 efficacy response in rheumatoid arthritis,” American Journal of Chinese Medicine, vol. 36, no. 4, pp. 675–683, 2008. View at Publisher · View at Google Scholar · View at Scopus
  30. B. F. Filipović, T. Randjelovic, N. Kovacevic et al., “Laboratory parameters and nutritional status in patients with functional dyspepsia,” European Journal of Internal Medicine, vol. 22, no. 3, pp. 300–304, 2011. View at Publisher · View at Google Scholar · View at Scopus
  31. P. G. L. Speridião, S. Tahan, U. Fagundes-Neto, and M. B. Morais, “Dietary fiber, energy intake and nutritional status during the treatment of children with chronic constipation,” Brazilian Journal of Medical and Biological Research, vol. 36, no. 6, pp. 753–759, 2003. View at Publisher · View at Google Scholar · View at Scopus
  32. S. Camps, How Humans Economize: Energy Restriction and End Energy Expenditure, Uitgeverij BOXPress, 2015.
  33. J. A. Lee, T.-Y. Park, J. Lee et al., “Developing indicators of pattern identification in patients with stroke using traditional Korean medicine,” BMC Research Notes, vol. 5, article no. 136, 2012. View at Publisher · View at Google Scholar · View at Scopus
  34. M. Jiang, C. Lu, C. Zhang et al., “Syndrome differentiation in modern research of traditional Chinese medicine,” Journal of Ethnopharmacology, vol. 140, no. 3, pp. 634–642, 2012. View at Publisher · View at Google Scholar · View at Scopus
  35. H. Xu, D. Lawson, A. Kras, and D. Ryan, “The use of preventive strategies for bone loss,” American Journal of Chinese Medicine, vol. 33, no. 2, pp. 299–306, 2005. View at Publisher · View at Google Scholar · View at Scopus
  36. V. Scheid, T. Ward, and V. Tuffrey, “Comparing TCM textbook descriptions of menopausal syndrome with the lived experience of London women at midlife and the implications for Chinese medicine research,” Maturitas, vol. 66, no. 4, pp. 408–416, 2010. View at Publisher · View at Google Scholar · View at Scopus
  37. B.-K. Kang, T.-Y. Park, J. A. Lee et al., “Reliability and validity of the Korean standard pattern identification for stroke (K-SPI-Stroke) questionnaire,” BMC Complementary and Alternative Medicine, vol. 12, article no. 55, 2012. View at Publisher · View at Google Scholar · View at Scopus
  38. H. Ryu, H. Lee, H. Kim, and J. Kim, “Reliability and validity of a cold-heat pattern questionnaire for traditional Chinese medicine,” Journal of Alternative and Complementary Medicine, vol. 16, no. 6, pp. 663–667, 2010. View at Publisher · View at Google Scholar · View at Scopus
  39. C. A. Berle, D. Cobbin, N. Smith, and C. Zaslawski, “A novel approach to evaluate traditional Chinese medicine treatment outcomes using pattern identification,” Journal of Alternative and Complementary Medicine, vol. 16, no. 4, pp. 357–367, 2010. View at Publisher · View at Google Scholar · View at Scopus
  40. L. Wang, X. Zhao, X. Wu et al., “Diagnosis analysis of 4 TCM patterns in suboptimal health status: a structural equation modelling approach,” Evidence-Based Complementary and Alternative Medicine, vol. 2012, Article ID 970985, 6 pages, 2012. View at Publisher · View at Google Scholar
  41. X. Zhou, F. Xu, J. Gao et al., “Development and preliminary validation of the questionnaire (the First Edition) based on TCM for detecting health status in China,” Evidence-based Complementary and Alternative Medicine, vol. 2015, Article ID 863685, 12 pages, 2015. View at Publisher · View at Google Scholar · View at Scopus
  42. H. Zhao, W.-H. Xiong, X. Zhao, L.-M. Wang, and J.-X. Chen, “Development and evaluation of a Traditional Chinese Medicine syndrome questionnaire for measuring sub-optimal health status in China,” Journal of Traditional Chinese Medicine, vol. 32, no. 2, pp. 129–136, 2012. View at Publisher · View at Google Scholar · View at Scopus