Examination of Universal Racial Differences in Biological Parameters: Analysis Based on Wavelet Interpolation Model
DOI:
https://doi.org/10.14738/aivp.104.12722Keywords:
Biological parameters, age at MPV, race, economic conditionsAbstract
It is known that the human body is becoming larger, even when viewed historically. Since around 1900 a remarkable trend has been seen globally. Genetically, this phenomenon has been hypothesized to be a mini-evolutionary phenomenon related to epigenetics, but that has not been clearly verified. However, human growth patterns could be called a universal phenomenon. Even though bodies are becoming larger, there have been no great changes in growth patterns. Eveleth and Tanner [14] showed research trends on global physical growth, and provided valuable findings. The physical growth data shown in that report were published in the 1960s, and so their findings are from analysis of physical growth trends of more than 50 years ago, from an aggregation of research performed with very traditional analytical methods. Therefore, there are no detailed data from analyses of these growth curves with objective methods. While they may be a little old as physical growth data, it would seem foolish to neglect these global scale data without subjecting them to an analysis using scientific methods. By applying the wavelet interpolation model proposed by Fujii [10], we analyzed the global physical growth data shown by Eveleth and Tanner [14], in particular identifying the age at MPV of height as a biological parameter and examining the differences in biological parameters among the human races (Caucasoid, Mongoloid, Negroid, and Australoid).
References
Tanner J M., Growth at Adolescent. Blackwell Scientific Publication., 1962. Oxford.
Malina, R M., Menarche in athlete – synthesis and hypothesis –, Annals of Human Biology, 1983. 10 : p.1-24.
Fujii K., Verification regarding delayed menarche in Japanese female athletes ―Analysis by wavelet interpolation method―, Japan J. Phys. Educ. Hlth. Sport Sci, 2003. 48 : 523- 539.
Fujii K., Construction of Delayed Menarche Evaluation System in Japanese Female Athletes, The Journal of Education and Health Science, 2008. 53 (3) : 273-285.
Malina R M,. Physical activity and training : effects on stature and the adolescent growth spurt. Medicine and Science in Sports and Exercise, 1994. 26 : 759-766.
Tanner J M., Whitehouse, R H. and Takaishi, M., Standard from birth to maturity for height, weight, height velocity and weight velocity—British children 1965. Archives of Disease in Childhood, 1966. 41 : 454–471.
Takaishi M, Ohmori S, Eguchi A. and Fujita Y., Studies on patterns of physical growth at adolescence part 1, height velocity and weight velocity in boys, The Journal of Child Health, 1968. 26 : 57-63.
Preece M A. and Baines M J., A new family of mathematical models describing the human growth curve. Annals of Human Biology, 1978. 5 : 1-24.
Gasser T, Kohler W, Muller H G. and Kneip A., Velocity and acceleration of height growth using kernel estimation, Annals of Human Biology, 1984. 11 : 397-411.
Fujii K., A scientific approach to growth and development –Physical information science for growth and development & health–. Sankeisha, 2006. Nagoya Fujii K., Verification regarding mid-growth spurt as physical growth phenomenon, Japan J. Phys. Educ. Hlth. Sport Sci, 2002. 47 : 347-359.
Fujii K., Verification Regarding Secular Trend of Height Growth and The Maximum Peak Velocity during Adolescence, International Journal of Sport and Health Science, 2009. 7 : 103-112.
Fujii K, Ito M and Saitou Y., Verification regarding Secular Trend of Physical Growth in Youth –Analysis of Korean Male–, Japanese Journal of Physiological Anthropology, 2012. 17 (4) : 145−154.
Eveleth P B. and Tanner J M., Worldwide variation in human growth, Cambridge University Press, 1976. London.
Fujii, K., and Yamamoto, Y., An Examinition Regarding The PHV in Weight Growth of Male Students by Wavelet Interpolation Method, Japan Society of Human Growth and Development, 1995. 23 : 27-34.
Fujii, K., and Yamamoto, Y., The analysis of the growth velocity curve in height based upon the maturity rate, Japan Journal of Physical Fitness and Sports Medicine, 1996. 44 : 431-438.
Fujii, K. and Matsuura, Y., Analysis of the Velocity Curve for Height by the Wavelet Interpolation Method in Children Classified by Maturity Rate. American Journal of Human Biology, 1999, 10: 1-19.
Fujii K, Kim S. and Nho H., Confirmation regarding secular trend of height growth in Korean school students by wavelet interpolation method : Analysis from secular trend of age at MPV, The Korean Journal of Growth and Development, 2008. 16 (4) : 233-237.
Deming J., Application of the Gompertz curve to the observed pattern of growth in length of 48 individual boys and girls during the adolescent cycle of growth. Human Biology, 1957. 29 : 83-122.
Nelder J A., The fitting of a generalization of the logistic curve. Biometrics, 1961. 17 : 89-110.
Nelder J A., An alternative from of a generalized logistic equation. Biometrics, 1962. 18 : 614-616.
Tanner J M., Foetus into Man, Open Books, London, and Harvard University Press, Cambridge, 1978. Massachusetts.
Fujii K., A verification with regard to phase difference effect in physical growth phenomena, Tokai Annual Report of Health and Physical Education, 1998. 20 : 75-84.
Kudo Y, Shomoto M, Takeda S, Yokoo Y. and Samori N., Growth acceleration in Japan as indicated by the maximum growth age in height, Japan Journal of Hygiene, 1976. 31 : 378-385.
Kouchi M., Secular change and socioeconomic difference in height in Japan, Anthropological Science, 1996. 104 : 325-340.
Kawahata A., Japanese growth and development –Study on adolescent growth acceleration –, Humaido, 1997. Tokyo.
Cole T J., The secular trend in human physical growth: a biological view, Economics and Human Biology, 2003. 1(2) : 161–168.
Watanabe K., Epigenetics and Itʼs Detailed Mechanisms in Life Phenomena : A Review, Journal of Nippon Medical School, 2016. 12 (4) : 118-126.
Kantake M., The World of Epigenetic –Epigenetic Modification of Genome by Early Life Environment–, Pediatric Health Research, 2019. 78 (6) : 490-493.
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