In the present study we conducted a regression analysis of age at menarche against Maximum Peak Velocity (MPV) of height in non-athlete Korean girls which was derived with the wavelet interpolation method, and composed linear to quartic regression polynomials to obtain the best regression polynomial. We then applied the age at menarche and age at MPV of height of athletes to the best polynomial regression evaluation, and investigated the validity of a delayed menarche evaluation that we constructed. Moreover, the relation between delayed menarche and menstrual status was examined by investigating delayed menarche and menstrual pain in individuals for the first time. The subjects were 124 second year female students at a physical education high school in the suburbs of Pusan, South Korea. A questionnaire survey of these girls was conducted, from which their date of birth, age at menarche, and athletic activities in elementary, junior high, and high school were obtained. In addition, health check records were examined retrospectively, and longitudinal growth data for height were obtained from the 1st year of elementary school (7 years old) until the second year of high school (17 years old). Next, the same survey as above was also done for second year students at a general high school in the same area, as a control group. Three hundred forty-five non-athletes for whom all data were available were selected. As the results, the third order polynomial was found to be most suitable for the regression polynomial. When it was applied to individual female Korean athletes with respect to the regression evaluation, positive scores were obtained for many athletes and an overall delay in menarche was seen. Delayed menarche was not seen, however, in archery athletes. A strong delay in menarche was thus found in Korean athletes. And it was shown that 80% had moderate or greater menstrual pain and a close relation with menstrual abnormalities, the effectiveness of the delayed menarche evaluation was further validated.