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RISS 인기검색어
- 검색키워드
- 저자 : 可兒勇樹(Kani, Yuki) (검색결과 3 건)
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可兒勇樹(Kani, Yuki),藤井勝紀(Fujii, Katsunori),백승희(Baek, Seung-Hui) 한국체육과학회 2018 한국체육과학회지 Vol.27 No.5
The Japanese economy experienced an unprecedented period of high economic growth for almost 20 years from 1955 to 1973. During this time, regional economic policies including infrastructure development and small business measures were implemented in outlying regions to reduce regional disparities. However, during the economic bubble that arrived in the 1980s, the economic gap between Japan’s three major metropolitan regions and the other regions of Japan widened, and the nation entered an urban-centered economy. Afterward, the three major metropolitan areas suffered a major shock when the economic bubble burst, compared to which the economic slowdown in the outlying regions was mild. However, these phenomena have not been analyzed scientifically. This study analyzed the factors in the economic gap due to the currently ongoing urban-centered economy for phenomena from fluctuations in the rate of GDP growth. The fluctuations in the rate of GDP growth were examined by applying wavelet interpolation to GDP data for each region from 1955 to 2010. The results, judging from the behavior of the maximum peak velocity (MPV) of GDP in urban and rural regions, showed that the MPV of GDP was clearly larger in the bubble period than in the period of high economic growth in urban areas, and this social phenomenon is conjectured to have produced the continuation of the urban-centered economy and the disparities with rural regions.
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藤井勝紀(Fujii, Katsunori),可兒勇樹(Kani, Yuki),糟谷浩輔(Kasuya, Kosuke),김준동(Kim, Jun-Dong) 한국체육과학회 2018 한국체육과학회지 Vol.27 No.2
A clear method for evaluating bone density findings in young children has not been established. One reason behind this is that the changes with age in bone density during early childhood have not been clarified. In this study, a mixed cohort method was adopted and a least squares approximation polynomial was applied to bone density indices (stiffness, BUA, SOS) of children from 3 to 5 years old. We then attempted to construct a bone density evaluation chart for early childhood by clarifying the changes in bone density with age. The method was to measure bone density in 3, 4, and 5 year-old children, and then analyze the age-related changes in the bone density index data obtained in a mixed cohort. The results showed changes with age in the values for stiffness and SOS. The optimal polynomial obtained with least squares approximation was shown to be a third order polynomial for boys and a fourth order polynomial for girls. Therefore, in the standard regression evaluation chart for stiffness values a third order polynomial was applied for boys and a fourth order polynomial was applied for girls. An evaluation chart was constructed from a 5-grade regression evaluation. Normalization was then seen in the frequency distribution, and the bone density evaluation constructed in this study for young children was seen to be effective. The mixed cohort in this study did not provide fundamentally simple cross-sectional data but rather semi-longitudinal data that included almost all tracking data from the same subjects. Therefore, clarification of the trends in changes with age in stiffness has great significance.
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유유아 신체발달의 시대적 변동을 제어하는 고도 경제 성장의 요인 분석
藤井勝紀(Fujii, Katsunori),可兒勇樹(Kani, Yuki),糟谷浩輔(Kasuya, Kosuke),김준동(Kim, Jun-Dong) 한국체육과학회 2017 한국체육과학회지 Vol.26 No.5
The Ministry of Health, Labor and Welfare has published measurement records on height, weight, chest circumference, and head circumference in 0 to 6 year-old children from 1960 to 2010 as indicators of physical development in early childhood in Japan. Physical development evaluation charts have been developed from these records using percentile methods, but reports on the trends in physical development over time are limited. This is because no method has been established to scientifically analyze physical growth. Even more difficult is investigating secular trends in physical growth and linking those trends to economic growth. In this study, we identified the first largest peak velocity (FLPV) during the year after birth in infant physical growth records (height, weight, chest circumference, head circumference), and applied the wavelet interpolation model to the variations over time in the identified FLPV. Next, we applied the wavelet interpolation model to the secular variations in GDP for the same years. We then applied a cross correlation function to the relationship between the curves of FLPV and GDP variations over time, and investigated how high economic growth acts as a controlling factor variations in physical development of young children over time. The speed of variation in the physical development of children over time was the greatest around 1980. By synchronizing GDP to that time, the results suggest that high economic growth is a controlling factor in the physical development of young children.
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