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Association of Nose Size and Shapes with Self-rated Health and Mibyeong

코의 크기 및 형태와 자가건강, 미병과의 상관성

  • Ahn, Ilkoo (KM Data Division, Korea Institute of Oriental Medicine) ;
  • Bae, Kwang-Ho (KM Data Division, Korea Institute of Oriental Medicine) ;
  • Jin, Hee-Jeong (KM Data Division, Korea Institute of Oriental Medicine) ;
  • Lee, Siwoo (KM Data Division, Korea Institute of Oriental Medicine)
  • 안일구 (한국한의학연구원 한의약 데이터부) ;
  • 배광호 (한국한의학연구원 한의약 데이터부) ;
  • 진희정 (한국한의학연구원 한의약 데이터부) ;
  • 이시우 (한국한의학연구원 한의약 데이터부)
  • Received : 2021.08.09
  • Accepted : 2021.11.23
  • Published : 2021.12.25

Abstract

Mibyeong (sub-health) is a concept that represents the sub-health in traditional East Asian medicine. Assuming that the nose sizes and shapes are related to respiratory function, in this study, we hypothesized that the nose size and shape features are related to the self-rated health (SRH) level and self-rated Mibyeong severity, and aimed to assess this relationship using a fully automated image analysis system. The nose size features were evaluated from the frontal and profile face images of 810 participants. The nose size features consisted of five length features, one area feature, and one volume feature. The level of SRH and the Mibyeong severity were determined using a questionnaire. The normalized nasal height was negatively associated with the self-rated health score (SRHS) (partial ρ = -0.125, p = 3.53E-04) and the Mibyeong score (MBS) (partial ρ = -.172, p = 9.38E-07), even after adjustment for sex, age, and body mass index. The normalized nasal volume (ρ = -.105, p = 0.003), the normalized nasal tip protrusion length (ρ = -.087, p = 0.014), and the normalized nares width (ρ = -.086, p = .015) showed significant correlation with the SRHS. The normalized nasal area (ρ = -.118, p = 0.001), the normalized nasal volume (ρ = -.107, p = .002) showed significant correlation with the MBS. The wider, longer, and larger the nose, the lower the SRHS and MBS, indicating that health status can be estimated based on the size and shape features of the nose.

Keywords

Acknowledgement

본 연구는 한국한의학연구원의 '빅데이터 기반 한의 예방 치료원천기술개발 (KSN2022120)'의 지원을 받아 수행되었음.

References

  1. Lee BG, Park YB, Kim TH. Diagnostics of Korean Medicine, Seoul, Seongbosa. 1986; 62-3.
  2. Barnes LL. The Yellow Emperor's Classic of Internal Medicine. Univ of California Press; 2015 Dec 15.
  3. Kim GC, Lee YT. The Study on the Inspection of the Local Body - form in " NAE - GYUNG ". Journal of Dong - Eui Oriental Medicine2000;4(0):39-58.
  4. Jun H. Donguibogam. The Original Naeuiwon Edition. Korea Naeuiwon. 1980.
  5. Noh YH, Easy acupuncture and moxibustion medicine. Seoul: OpenBooks. 1999:45-8.
  6. Shin JY. Easy Korean Medicine. Seoul:Donghwapub. 1980.
  7. Jung WJ. Self-Cultivation and Oriental Medicine : Centering around the Circulating System of Huang-di Nei Jing. Journal of The Studies of Taoism and Culture. 2010;32:167-94.
  8. Park HK, Shin MK. A Study on Function and Structure in the Lung. Journal of Korean Medicine. 1983;4(2):48-52.
  9. Oh CK, Yoon CY. The movement and transformation of the food and drink and its transpiration. Journal of Korean Medical classics. 2008;21(4):249-60.
  10. Jyotsna VP, Joshi A, Ambekar S, Kumar N, Dhawan A, Sreenivas V. Comprehensive yogic breathing program improves quality of life in patients with diabetes. Indian journal of endocrinology and metabolism. 2012 May;16(3):423. https://doi.org/10.4103/2230-8210.95692
  11. Keck T, Lindemann J. Numerical simulation and nasal air-conditioning. GMS current topics in otorhinolaryngology, head and neck surgery. 2010;9.
  12. Zaidi AA, Mattern BC, Claes P, McEcoy B, Hughes C, Shriver MD. Investigating the case of human nose shape and climate adaptation. PLoS genetics. 2017 Mar 16;13(3):e1006616. https://doi.org/10.1371/journal.pgen.1006616
  13. Noback ML, Harvati K, Spoor F. Climate-related variation of the human nasal cavity. American journal of physical anthropology. 2011 Aug;145(4):599-614. https://doi.org/10.1002/ajpa.21523
  14. Yokley TR. Ecogeographic variation in human nasal passages. American Journal of Physical Anthropology: The Official Publication of the American Association of Physical Anthropologists. 2009 Jan;138(1):11-22.
  15. Jin HJ, Baek Y, Kim HS, Ryu J, Lee S. Constitutional multicenter bank linked to Sasang constitutional phenotypic data. BMC complementary and alternative medicine. 2015 Dec;15(1):1-8. https://doi.org/10.1186/s12906-015-0520-z
  16. King DE. Dlib-ml: A machine learning toolkit. The Journal of Machine Learning Research. 2009 Dec 1;10:1755-8.
  17. Kazemi V, Sullivan J. One millisecond face alignment with an ensemble of regression trees. InProceedings of the IEEE conference on computer vision and pattern recognition 2014 (pp. 1867-1874).
  18. Zhu X, Ramanan D. Face detection, pose estimation, and landmark localization in the wild. In2012 IEEE conference on computer vision and pattern recognition 2012 Jun 16 (pp. 2879-2886). IEEE.
  19. Gross R, Matthews I, Cohn J, Kanade T, Baker S. Multi-pie. Image and vision computing. 2010 May 1;28(5):807-13. https://doi.org/10.1016/j.imavis.2009.08.002
  20. Benjamins MR, Hummer RA, Eberstein IW, Nam CB. Self-reported health and adult mortality risk: an analysis of cause-specific mortality. Social science & medicine. 2004 Sep 1;59(6):1297-306. https://doi.org/10.1016/j.socscimed.2003.01.001
  21. Idler EL, Angel RJ. Self-rated health and mortality in the NHANES-I Epidemiologic Follow-up Study. American journal of public health. 1990 Apr;80(4):446-52. https://doi.org/10.2105/AJPH.80.4.446
  22. Appels A, Bosma H, Grabauskas V, Gostautas A, Sturmans F. Self-rated health and mortality in a Lithuanian and a Dutch population. Social Science & Medicine. 1996 Mar 1;42(5):681-9. https://doi.org/10.1016/0277-9536(95)00195-6
  23. Jang E, Yoon JH, Lee Y. The evaluation of reliability and validity for Mibyeong questionnaire. The Journal of the Korean Medicine Diagnostics. 2017;21(1):13-25.
  24. Henriquez P, Matuszewski BJ, Andreu-Cabedo Y, Bastiani L, Colantonio S, Coppini G, D'Acunto M, Favilla R, Germanese D, Giorgi D, Marraccini P. Mirror mirror on the wall... an unobtrusive intelligent multisensory mirror for well-being status self-assessment and visualization. IEEE transactions on multimedia. 2017 Feb 8;19(7):1467-81. https://doi.org/10.1109/TMM.2017.2666545
  25. Coppini G, Favilla R, Gastaldelli A, Colantonio S, Marraccini P. Moving Medical Semeiotics to the Digital Realm. InProceedings of the International Joint Conference on Biomedical Engineering Systems and Technologies-Volume 5 2014 Mar 3 p 606-13.
  26. Li X, Li F, Wang Y, Qian P, Zheng X. Computer-aided disease diagnosis system in TCM based on facial image analysis. International Journal of Functional Informatics and Personalised Medicine. 2009 Jan 1;2(3):303-14. https://doi.org/10.1504/IJFIPM.2009.030829
  27. Henderson AJ, Holzleitner IJ, Talamas SN, Perrett DI. Perception of health from facial cues. Philosophical Transactions of the Royal Society B: Biological Sciences. 2016 May 5;371(1693):20150380. https://doi.org/10.1098/rstb.2015.0380
  28. Jones AL. The influence of shape and colour cue classes on facial health perception. Evolution and Human Behavior. 2018 Jan 1;39(1):19-29. https://doi.org/10.1016/j.evolhumbehav.2017.09.005
  29. Zhao C, Li GZ, Li F, Wang Z, Liu C. Qualitative and quantitative analysis for facial complexion in traditional Chinese medicine. BioMed Research International. 2014 Dec;2014.
  30. Zhang B, Wang X, Karray F, Yang Z, Zhang D. Computerized facial diagnosis using both color and texture features. Information Sciences. 2013 Feb 1;221:49-59. https://doi.org/10.1016/j.ins.2012.09.011
  31. Stephen ID, Hiew V, Coetzee V, Tiddeman BP, Perrett DI. Facial shape analysis identifies valid cues to aspects of physiological health in Caucasian, Asian, and African populations. Frontiers in psychology. 2017 Oct 30;8:1883. https://doi.org/10.3389/fpsyg.2017.01883
  32. Mayer C, Windhager S, Schaefer K, Mitteroecker P. BMI and WHR are reflected in female facial shape and texture: a geometric morphometric image analysis. PloS one. 2017 Jan 4;12(1):e0169336. https://doi.org/10.1371/journal.pone.0169336
  33. Windhager S, Bookstein FL, Millesi E, Wallner B, Schaefer K. Patterns of correlation of facial shape with physiological measurements are more integrated than patterns of correlation with ratings. Scientific reports. 2017 Mar 28;7(1):1-1. https://doi.org/10.1038/s41598-016-0028-x
  34. Churchill SE, Shackelford LL, Georgi JN, Black MT. Morphological variation and airflow dynamics in the human nose. American Journal of Human Biology: The Official Journal of the Human Biology Association. 2004 Nov;16(6):625-38. https://doi.org/10.1002/ajhb.20074
  35. Gu JH, Kim SR, Im EY, Kim SH, Kim JD. One Clinical Case Report of Lung Cancer Patient with Depression and Anxiety Disorder Improved by Korean Traditional Medical Treatment and Breathing Meditation. Journal of Physiology & Pathology in Korean Medicine. 2011;25(6):1102-7.
  36. Kunik ME, Roundy K, Veazey C, Souchek J, Richardson P, Wray NP, Stanley MA. Surprisingly high prevalence of anxiety and depression in chronic breathing disorders. Chest. 2005 Apr 1;127(4):1205-11. https://doi.org/10.1378/chest.127.4.1205
  37. Hirunwiwatkul P, Mahattanasakul P. Sleep-disordered breathing and self-reported general health status in Thai patients. Asian Biomed. 2011 Jan 24;4(6):861. https://doi.org/10.2478/abm-2010-0113
  38. Lee PS. Theoretical bases and technical application of breathing therapy in stress management. Journal of Korean Academy of Nursing. 1999 Dec 1;29(6):1304-13. https://doi.org/10.4040/jkan.1999.29.6.1304
  39. Whittemore S. The circulatory system. Infobase Publishing; 2014 May 14.
  40. Hanna LM, Scherer PW. A theoretical model of localized heat and water vapor transport in the human respiratory tract. 1986; 19-27.