earticle

영어

Objectives The purpose of this study was to investigate changes in adolescents' physique using functional equations by utilizing longitudinal data from the Education Statistics Yearbook(2022) Methods Data processing for this study was done by modifying adolescents' physique (height, weight, BMI) growth data from the first grade of elementary school(6 years old) to the third grade of high school(17 years old) into longitudinal data to suit this study, and a total of 5 data were used. Divide into groups and use Origin Lab software to differentiate and fit functional equations suitable for the resulting values to determine Maximum Peak Age(MPA) and Maximum Peak Height(MPH), Maximum Peak Weight(MPW), Maximum Peak BMI(MPB), and Maximum Peak Velocity(MPV) were calculated and a growth curve graph was created, the significance level was set at .05 and presented as the explanatory power value. Results There was a significant difference in height changes between male and female adolescents from group 1 to group 5. In addition, it was found that there was a significant difference in weight change between groups 1 and 5 in both male and female adolescents. There was a significant difference in BMI changes between male and female adolescents from group 1 to group 5. Conclusions First, the group with the MPV rate of male students' height was group 4, the slowest group was group 1, and the MPV rate difference was 0.91 cm/v. Second, the group with the MPV rate of female students' height was group 4, the slowest group was group 2, and the MPV rate difference was 0.56 cm/v. Third, the group with the MPV rate of male body weight was group 2, and the group with the slowest was group 3, and the MPV rate difference was 0.49 kg/v. Fourth, the group with the MPV rate of female body weight was group 3, and the group with the slowest was group 5, and the difference in the MPV rate was 0.51 kg/v. Fifth, the group with the MPV rate of male BMI was group 3, the slowest group was group 5, and the maximum growth rate difference was 0.09 kg/m2/v. Sixth, the group with the MPV rate of female students' BMI was group 2, the slowest group was group 5, and the MPV rate difference was 0.34 kg/m2/v.

한국어

본 연구의 목적은 교육통계연보(2022)의 종단적 자료를 함수식을 이용하여 청소년들의 체격 변화를 알 아보는 것이다. 연구의 목적을 달성하기 위하여 초등학교 1학년(6세살)에서 고등학교 3학년(17세)의 체격 지표를 시대별로 1그룹(1968년~1979년), 2그룹(1978년~1989년), 3그룹(1988년~1999년), 4그룹(1998년~2009 년), 5그룹(2008년~2019년)으로 총 5개의 그룹으로 나누어 청소년의 성장과정의 변화를 함수식을 이용하 여 수치화한 결과를 통하여 최대 발육연령(MPA)과 최대 발육속도(MPV)를 구하여 결과를 비교하여 분석 하였다. 이에 따른 본 연구의 결론은 다음과 같다. 첫째, 남학생 신장의 최대 발육속도가 가장 빠른 그룹은 4그룹(11.63세, 153.49cm, 7.09cm/v)이고, 가장 느린 그룹은 1그룹(13.28세, 151.02cm, 6.18cm/v)이며, 최대 발육속도 차이는 0.91cm/v로 나타났다. 둘째, 여학생 신장의 최대 발육속도가 가장 빠른 그룹은 4그룹(9.40세, 139.10cm, 6.74cm/v)이고, 가장 느린 그 룹은 2그룹(10.43세, 138.84cm, 6.18cm/v)이며, 최대 발육속도 차이는 0.56cm/v로 나타났다. 셋째, 남학생 체중의 최대 발육속도가 가장 빠른 그룹은 2그룹(13.60세, 46.80kg, 6.11kg/v)이고, 가장 느린 그룹은 3그 룹(12.82세, 48.84kg, 5.62kg/v)이며, 최대 발육속도 차이는 0.49kg/v로 나타났다. 넷째, 여학생 체중의 최대 발육속도가 가장 빠른 그룹은 3그룹(10.90세, 38.62kg, 5.16kg/v)이고, 가장 느린 그룹은 5그룹(10.10세, 39. 56kg, 4.65kg/v)이며, 최대 발육속도 차이는 0.51kg/v로 나타났다. 다섯째, 남학생 BMI의 최대 발육속도가 가장 빠른 그룹은 3그룹(9.12세, 16.88kg/m2, 0.93kg/m2/v)이고, 가장 느린 그룹은 5그룹(8.17세, 18.28kg/m2, 0.84kg/m2/v)이며, 최대 발육속도 차이는 0.09kg/m2/v로 나타났다. 여섯째, 여학생 BMI의 최대 발육속도가 가장 빠른 그룹은 2그룹(12.80세, 18.66kg/m2, 1.04kg/m2/v)이고, 가장 느린 그룹은 5그룹(9.50세, 18.37kg/m 2, 0.70kg/m2/v)이며, 최대 발육속도 차이는 0.34kg/m2/v로 나타났다.