JP2016224879A - Body height prediction method and body weight prediction method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a body height prediction method capable of predicting a future body height by a load of only inquiry, in accordance with each characteristic or external environment of a child.SOLUTION: In a body height prediction method, a gender average body height at an X-year old in a prescribed average body height curve is expressed as a value A, a numerical value determined by dividing the value A by a value B which is the number of days to reach the X-year old is expressed as a value C, a present body height of an object person is expressed as a value D, the number of days from the present to the X-year old of the object person is expressed as a value E, and an environment index related to the object person is expressed as a value F, a body height of the object person at the X-year old is predicted by equation: the predicted body height of the object person at the X-year old=D+(C×D)×F.SELECTED DRAWING: Figure 3

Description

  The present invention relates to a height prediction method and a weight prediction method for predicting the future height of a child with high accuracy.

  For children from preschool to elementary school, it is important to know how tall they will be in the future. Also, parents of these children are worried about how tall their children will be in the future. This is because the height that the child will reach in the future depends on his / her own health and beauty, as well as his future course.

  For example, a child who is aiming to be an athlete is concerned about how high she can reach. If your height grows, you can aim to be a basketball or volleyball player. On the other hand, if the height does not increase, it is necessary to consider choosing a sport that is less sensitive to height. Sports require a long period of practice and training, and it is more important to select an item in consideration of height at an early stage than to select an event after knowing that the height will grow or not grow.

  Similarly, parents and the surroundings of children who are aiming to be athletes can examine their development policies by knowing the height that they can reach in the future. For example, if a sports team coach or manager knows the expected height of a talented child in the future, what kind of event and which position to nurture has the advantage that optimization can be considered early.

  Of course, it is important not only for athletes but also for children and their parents who are aiming for occupations (models, entertainers, etc.) that can make use of their heights, so that future heights can be predicted. In this way, how your future height will be in the future goals and occupational dreams is important for you and your surroundings.

  Or, considering not only the future such as occupation and career, but also general health and physical ability, the future height prediction of the child is also anxious for the person and others. If height is expected to be very high, it is necessary to keep in mind diet and lifestyle habits. Or if it is predicted that the height will not grow much, it is possible to keep in mind the eating habits and lifestyle according to this. Alternatively, if it is predicted that the height will not grow much, measures such as eating habits, lifestyle habits, and exercise habits for increasing the height can be taken early.

  The height expected to be reached in the future is an important factor when considering the future life, work, career, health, life, etc. of the child. It is important both for the person who reaches the height and for the family and the surroundings.

  As described above, the ability to predict the future height of a child is necessary both for the dream of the person's work and career and for the realization of a healthy life.

  Under such circumstances, the Ministry of Health, Labor and Welfare has reported a school health statistics survey.

  The Ministry of Health, Labor and Welfare's school health statistics survey measures the actual height and weight of various subjects and calculates their average values. By varying the number and attributes of subjects to be sampled, the average values of height and weight are obtained with higher accuracy. When obtaining this average value, the height and weight of each subject's age are measured, and the average value of height and weight for each age is calculated.

  As a result, the School Health Statistics Survey of the Ministry of Health, Labor and Welfare shows the average height and average weight for each age based on the average value of the subjects as many samples. Figure 4 shows the annual changes in average height in the Ministry of Health, Labor and Welfare's School Health Statistics Survey published in 2012. It is not impossible to predict the future height of a child based on the annual transition of the average height and the calculation result of the average height by age in a certain year.

  For example, FIG. 4 shows average heights at 8, 11, 14, and 17 years old. For this reason, a certain child can assume the height at the age of 8, at the age of 11, at the age of 14, at the age of 17, respectively.

  However, the average height shown in FIG. 4 is an average value of the actual heights of the subjects who are many samples, and the causal relationship with the future actual height of each individual child is low. For example, just because a 17-year-old boy has an average height of 170.7 cm, a 6-year-old boy does not necessarily become 170.7 cm when he is 17 years old. Of course, there is a high possibility that it is not close to this height.

  That is, it is difficult to predict the height of individual children who will reach in the future only with the average height data as shown in FIG. This is because it is difficult to predict the future height of an individual child from a simple average height without assuming that the constitution, characteristics, environment, etc. of the individual child are different.

  It is also conceivable to predict future height by medical treatment or examination such as examination of children's cells. However, these medical examinations are very expensive and may be painful for the target child. Of course, not all children can have this medical test. If it is a medical examination, there is a possibility that individual height prediction based on the constitution and inheritance of each child can be made. However, there is a problem that does not take into account external conditions such as the environment in which children grow up. In addition, as described above, there are also disadvantages in cost and ease.

  As described above, according to the conventional technology, it is impossible to predict the future height while suppressing cost and discomfort while matching each child.

  In addition, it is sometimes important to predict not only the height but also the future weight. However, the conventional technique cannot predict the future weight in consideration of the external environment of the child.

  In view of these problems, the present invention provides a height predicting method and a weight predicting method for predicting a future height with a burden of only an inquiry while matching each characteristic and external environment of a child.

In view of the above problems, the height prediction method of the present invention is:
Gender average height at the age of X in a given average height curve is A,
A value obtained by dividing the value A by the value B, which is the number of days until X years old, is defined as a value C.
The current height of the subject is the value D,
The number of days from the present to the age of X is the value E,
When the environmental index for the subject is F,
Predicted height of subject at age X = D + (C x D) x F
To predict the height of the subject at age X.

  The height prediction method of the present invention can predict a future height with higher accuracy in consideration of the external environment by adding a predetermined environmental parameter to the height prediction curve provided by the Ministry of Health, Labor and Welfare.

  In addition, the height prediction method of the present invention uses the height prediction curve of the Ministry of Health, Labor and Welfare obtained from a large number of samples while using the information of each child as a parameter for calculation. Predicting future height with high accuracy.

  Moreover, since the height is predicted by information input such as an inquiry, the physical and mental burden of the subject can be reduced.

3 is a cross-sectional standard height / weight curve for boys published by the Ministry of Education, Culture, Sports, Science and Technology in the embodiment of the present invention. It is a cross-sectional standard height-standard weight curve of the girl which the Ministry of Education, Culture, Sports, Science and Technology announces in the embodiment of the present invention. It is an operation | work flowchart of the height prediction method in embodiment of this invention. This is the annual transition of average height in the Ministry of Health, Labor and Welfare's school health statistics survey published in 2012.

The height predicting method according to the first aspect of the present invention uses a sex average height at the age of X in a predetermined average height curve as a value A,
A value obtained by dividing the value A by the value B, which is the number of days until X years old, is defined as a value C.
The current height of the subject is the value D,
The number of days from the present to the age of X is the value E,
When the environmental index for the subject is F,
Predicted height of subject at age X = D + (C x D) x F
To predict the height of the subject at age X.

  With this configuration, the height prediction method can take into account the influence of the external environment related to the growth of height.

  In the height prediction method according to the second invention of the present invention, in addition to the first invention, the age X is 17 years old.

  With this configuration, it is possible to grasp the predicted height at the age of 17 when the growth period is generally completed.

  In the height prediction method according to the third aspect of the present invention, in addition to the first or second aspect, the target person is a child.

  With this configuration, the child can predict his / her own height in the future, which is suitable for both the person and the parents.

  In the height prediction method according to the fourth invention of the present invention, in addition to any of the first to third inventions, the predetermined average height curve is an average height curve published by the Ministry of Education, Culture, Sports, Science and Technology's Health Guidance Guidelines. is there.

  With this configuration, it is possible to refer to an average obtained by sampling in the prediction of height. As a result, more accurate height prediction is possible.

  In the height prediction method according to the fifth aspect of the present invention, in addition to the first to fourth aspects, the environmental index is calculated based on the result of the interview with the subject.

  With this configuration, the environmental index can be calculated based on the result of the inquiry from the subject. For this reason, the calculated environmental index reflects the situation in which the subject is actually placed, and the height considering the external environment of the subject can be predicted.

  In the height predicting method according to the sixth aspect of the present invention, in addition to the fifth aspect, the inquiry includes at least one of a meal mode, a sleep mode, and an exercise mode of the subject.

  With this configuration, lifestyles that are thought to affect height growth are taken into account in calculating the environmental index.

  In the height predicting method according to the seventh aspect of the present invention, in addition to the sixth aspect, the meal mode includes at least one of the number of meals, the meal time, the meal content, and the time between meals.

  With this configuration, the environmental index is calculated by finely reflecting the state of meals involved in height growth.

  In the height prediction method according to the eighth aspect of the present invention, in addition to the sixth aspect, the sleep mode includes at least one of sleep time, sleep start time, sleep end time, and sleep depth degree.

  With this configuration, the environmental index is calculated by finely reflecting the state of sleep involved in height growth.

  In the height predicting method according to the ninth aspect of the present invention, in addition to the sixth aspect, the exercise mode includes at least one of exercise time, the number of exercises, the exercise type, the exercise amount, and the number of exercise days in a certain period.

  With this configuration, the environmental index is calculated by finely reflecting the state of exercise involved in height growth. The predicted height calculated as a result reflects the lifestyle and environment of the target person more highly.

  In the height predicting method according to the tenth aspect of the present invention, in addition to the sixth aspect, the inquiry item further includes a personal aspect of the subject.

  With this configuration, the predicted height can be calculated in consideration of the inheritance of the subject and the lifestyle, taking into account the status of the subject's relatives.

  In the height prediction method according to the eleventh aspect of the present invention, in addition to any of the sixth to tenth aspects, the environmental index is calculated by the total score of each item of the inquiry result.

  With this configuration, the environmental index is obtained in a state reflecting each of the inquiry results. In addition, when a good result is obtained for height growth, the value of the environmental index increases, which is suitable for calculation of predicted height.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

  (Embodiment 1)

(Analysis by the inventor)
FIG. 1 is a cross-sectional standard height / weight curve for boys published by the Ministry of Education, Culture, Sports, Science and Technology in the embodiment of the present invention. FIG. 2 is a cross-sectional standard height / standard weight curve for girls prepared and published from the Ministry of Health, Labor and Welfare Infant Physical Growth Survey Report and the Ministry of Education, Culture, Sports, Science and Technology School Health Statistics Survey Report in the embodiment of the present invention.

  1 and 2 are published by the Ministry of Education, Culture, Sports, Science and Technology based on the average height, etc., which the statistics of the Ministry of Health, Labor and Welfare described in the prior art are taking. Based on the transverse standard height curves in FIGS. 1 and 2, it is conceivable to predict the future height from the current height of a child by a predetermined procedure.

  The standard height curves in FIGS. 1 and 2 indicate the average height up to the age of 17 years, and the height at the age of 17 can be predicted from the current height of a certain child (subject). Here, the value of the average height at the age of 17 on the standard height curves of FIGS. 1 and 2 is extracted. The extracted value of average height at the age of 17 is defined as a value “A”.

  Here, among the curves drawn as the standard height curves in FIGS. 1 and 2, the curve to which the sign of average is given is the average height. A curve to which a code such as + 1SD is given is a curve in the case of a height that has a standard deviation “SD” from the average.

  A value “A”, which is a height value at the time of 17 years old, is converted into height increase data per day. Since it is 17 years, it is approximated by 6209 days, and by dividing the value “A” by this 6209 days, a value “C”, which is height increase data per day, is obtained.

  The target person's target person, gender, and current height value “D” are extracted.

  A value “E” that is the number of days from the current date of the subject to the 17th birthday is calculated.

Using the above calculation and each extracted value, it is conceivable to calculate the predicted height at the age of 17 using the following formula.

D + (C × D) = predicted height (Formula 1)

  It is thought that the height at the time of 17 years old of the subject who is a certain age can be predicted by the calculation based on this formula 1. For example, if the subject is a 10-year-old boy, the value “E”, which is the number of days until the age of 17, and the current height value “D”, together with other values, are input to Equation 1. This input predicts the height of this 10-year-old boy at the age of 17.

  However, in the prediction of height by Equation 1 based on only the standard height curve published by the Ministry of Education, Culture, Sports, Science and Technology, external factors such as the environment in which the target person grows are not considered. For this reason, the inventor has analyzed that the height can be predicted with high accuracy by adding an external factor to the height prediction according to Equation 1 based on only the standard height curve.

(Overview)
An overall outline of the height prediction method in the embodiment will be described.

  In Equation 1 used by the Ministry of Education explained in the above analysis, add the value D of the current height value and the value C of the height growth per day based on the average height obtained from several samples. Thus, the height of a subject at the age of 17 is predicted.

  However, the height value D of the subject at the current age depends not only on the qualities born of the subject but also on the external environment such as the living environment and the exercise environment up to the current age. doing.

  That is, in the first place, the current height value D, which is one of the parameters for predicting the future height of the subject, does not depend only on the biological and physiological qualities of the subject, It depends on the external environment to date. Due to this dependence on the external environment, the current height value D is often different even for subjects whose biological and physiological qualities are similar, such as siblings and close relatives.

  When predicting the future height using the current height value D as a reference value, it is natural that the dependence on the external environment must be taken into consideration in the future as well.

The height prediction method in the embodiment performs the following calculation.
Gender average height at the age of X in a given average height curve is A,
A value obtained by dividing the value A by the value B, which is the number of days until X years old, is defined as a value C.
The current height of the subject is the value D,
The number of days from the present to the age of X is the value E,
When the environmental index for the subject is F,
Predicted height of subject at age X = D + (C x D) x F

  Based on this calculation parameter and calculation method, the height prediction method in the embodiment predicts the height of the subject at the age of X in the future.

  Here, as the predetermined average height curve, an average height curve published by the Ministry of Education, Culture, Sports, Science and Technology's Health Guidance Guidelines may be used.

  Unlike the prediction method proposed by the Ministry of Education, Culture, Sports, Science and Technology, the introduction of the environmental index value F solves the problem of not considering the external environment as described above.

  Here, in calculating the predicted height at the age of X, the environmental index value F is multiplied by the whole (C + D). That is, the sum of the value C obtained by dividing the average height value A at the age X by the number of days until the age of X (the average height at the age X calculated by the actual sample test) and the current height value D The environmental index value F is multiplied.

  Thus, the value F of the environmental index is multiplied by the additional height that is expected to grow from the current age to the future X years of age. As a result, the height prediction method in the embodiment in which the influence of the external environment is introduced into the calculation of the predicted height takes into consideration both the external environment up to now and the future external environment.

  Unlike the method of mechanically calculating from the average height of actual samples, the height prediction method that introduces the value F of the environmental index into the calculation formula takes into account the influence of the external environment that has a significant effect on height growth. Can predict height at the age of X.

  Here, the height prediction method predicts a future height at the age of X. Since it is a future X year old, if it is more than the present age, the prediction at the age of what is possible is also possible. However, in general, it is often required to predict the height at the age of 17. Generally, it is the age that is the maximum point of growth, and data such as the average height of the Ministry of Education, etc. is often used at the age of 17. For this reason, the height prediction method in the embodiment may be used to predict the predicted height at the time of 17 years old.

  In addition, the target person may be an age before the age of X, but it is also preferable that the child who wants to predict how tall he will be after the growth period is the target person. That is, in order to refer to their own career and future occupations, it is often considered that a child before the growth period wants to predict the height of about 17 years old after the growth period.

  In order to cope with such a desire, the height prediction method in the embodiment can predict a future height of about 17 years old, starting from the age of the child.

(Current height)
The height prediction method uses the current height value D as a calculation parameter. The current height value D is the current height value of the subject who wants to predict the height at the age of X by the height prediction method. The current height value D may be obtained by measuring the current height of the subject by actual measurement.

  When using the height prediction method, first, the height of the subject is measured and this measured value is used as the value D.

(average height)
The height prediction method uses the value A of the gender average height at the age of X in a predetermined average height curve as a calculation parameter. For example, as shown in FIG. 1 and FIG. 2, the average height curve published by the Ministry of Education, Culture, Sports, Science and Technology's Health Guidance Guidelines may be used as the predetermined average height curve.

  By reading the graphs of FIGS. 1 and 2, the average height value A at the age of X is known. When using the height prediction method, the average height value A at the age of X in the average height curve as shown in the graphs of FIGS. 1 and 2 is used in the calculation formula.

  Further, when the height to be predicted by the height prediction method is 15 years old, the average height corresponding to 15 years old of the average height curve is read as a value A, and when the height is 17 years old, 17 of the average height curve is obtained. The average height corresponding to the age is read as value A.

(Growth rate per day)
The height prediction method uses a value C obtained by dividing the average height A at the age of X by the value B, which is the number of days from the present to the age of X. The value C indicates the growth rate of the height per day from the future to the age of X.

  This growth rate is calculated from the average height on the average height curve. By multiplying the current height by this rate of growth, the total amount of height growth in the period from the present to the age of X can be calculated.

  The height predicting method calculates the total height growth amount from the present to X years old with this value C and adds it to the current height value D to predict the height at X years old.

(Environmental index)
In the height prediction method, a value obtained by multiplying the current height D by the daily growth rate C is added to the current height. At this time, the multiplication result of the value C and the value D is multiplied by the value F of the environmental index.

  The value F of the environmental index is obtained based on various environments such as the living environment, living attitude, exercise environment, and eating habits of the subject, and has been found by the inventor. Answers to items corresponding to the environmental index can be obtained through interviews and questionnaires with the subject. The numerical value of this answer list is the environmental index value F.

  That is, the value F of the environmental index is calculated based on the interview result of the subject.

  The interview for determining the environmental index includes at least one of a meal mode, a sleep mode, and an exercise mode of the subject. This is because the meal mode, sleep mode, and exercise mode are considered to have a great influence on the physique formation with the height of the subject.

  When the height prediction method is used, the subject is inquired about items based on at least one of the meal mode, the sleep mode, and the exercise mode through interviews or a questionnaire. When this inquiry result is digitized by a predetermined method, the value F of the environmental index is obtained. This value F is introduced into the calculation formula, and the height considering the environment can be predicted.

  As described above, the height predicting method according to the embodiment can predict the height at the future age X in consideration of the external environment. This prediction result is more accurate than the conventional one.

(Interview contents)
Next, the contents of the inquiry for calculating the environmental index value F will be described.

  The interview includes at least one of the subject's dietary mode, sleep mode, and exercise mode. Moreover, you may further include the relative aspect regarding the physical feature of the relative other than these.

  The meal mode is to measure the external environment that is closely related to the growth of the subject by checking the characteristics of the subject's diet through an inquiry. If the amount of meal is large, naturally the height and weight are likely to increase. In addition, when the meal content is high in calories or high in nutritional value, the influence on the growth direction that naturally tends to increase the height and weight is increased.

  On the other hand, if the nutrition of the meal content is biased, it may have a negative impact on height. For this reason, meal contents and meal preferences may work positively for height development or may work negatively.

  Alternatively, it is also preferable that the number of meals and meal time be included in the inquiry. This is because the number of meals is usually three times a day, but there is an effect on height and weight depending on whether or not there is a snack between meals or whether there is a night meal. A moderate snack according to the growth period has a positive effect on height and weight. Conversely, excessive snacking can negatively affect height. For this reason, including the number of meals in the interview is suitable for calculating an environmental index with higher accuracy.

  In addition, meal times (so-called breakfast and lunch time and meal times) have various effects on the development of height and weight. If you eat slowly, digestion and nutrient absorption are good, and it is often a plus for the growth of height. On the other hand, if a meal is performed in a short time, nutrient absorption is biased, and the contribution to body weight may become too large rather than height.

  In this way, the inquiry items related to the meal mode take into account the effects on the height and weight (both positive and negative effects). With this consideration, the environmental index value F can be calculated with high accuracy.

  The sleep mode includes sleep time as an inquiry item. This is because sleep time greatly affects growth. In particular, during the growth period, the amount of sleep time greatly affects growth. For example, when sleep time is extremely short, it is generally considered that there is a negative effect on the growth of height. Moreover, even if the sleeping time is sufficient, habits such as late sleep and oversleeping may have various effects on the growth of height.

  Taking these into account, the inquiry items related to the sleep mode include a wake-up time and a bedtime. Or depending on the case, it is also suitable to add the sleep state (whether it was a good sleep, whether it woke up in the middle of the night, the depth of sleep, etc.) to an inquiry item.

  Moreover, the place of sleep (home or whereabouts) and the state before sleep (whether the time from a meal is short or sufficient) may be included in the inquiry item of the sleep mode. This can also be one of the effects on growth.

  The exercise mode includes the exercise amount within a predetermined period such as one day or one week as the inquiry item. The amount of exercise may include exercise time, type of exercise, and the like as further detailed inquiry items. In addition to the exercise time, an inquiry item for qualitatively determining how much operation has been performed may be included. As the type of exercise, for example, it may be any answer as long as it can be answered by an event such as swimming, baseball, jogging, and gymnastics.

  This is because the presence or absence of the exercise mode such as the amount of exercise naturally has a strong influence on the growth. When the amount of exercise is extremely small, it is considered that there is little positive effect on height growth. On the other hand, if there is enough exercise, it is considered that the positive effect on height growth is high. Of course, in this exercise mode, the degree of contribution to height growth changes depending on the complex relationship with the diet mode and sleep mode.

  The exercise mode includes at least one of exercise time, number of exercises, type of exercise, amount of exercise, and number of exercise days in a certain period as an inquiry item. This is because the amount of exercise, exercise time, or type of exercise has a high influence on height growth as described above.

  In addition to the amount of exercise and exercise time, the number of days of exercise in a certain period is also an inquiry item suitable for accurate environmental index calculation. This is because even if the exercise time and the amount of exercise are the same, the contribution to the height differs depending on whether the exercise was concentrated at once or exercised at regular intervals over a plurality of times.

  In general, it is considered that it is preferable for height growth that the same momentum is continued at an appropriate interval. For this reason, in addition to the amount of exercise, the number of exercises in a certain period is also preferably added to the inquiry item.

  The relative aspect may include the date of birth and height of the subject's father, or the date of birth and height of the subject's mother as an inquiry item. This is because the height of the subject often includes genetic elements, and the birth date and height of the parents as the geneticist are also appropriate as the basis of the environmental index.

  Moreover, children are easily affected by the tastes of their parents in terms of diet and exercise. For this reason, it is reasonable that the height, etc., as a result of the environmental index of the parents themselves can be one of the interview items for calculating the environmental index of the subject.

  Here, as relatives, not only parents but also siblings may be added. This is because siblings are in a similar external environment, and their date of birth and height are considered suitable for calculating the environmental index.

  Moreover, although it is related also to a meal aspect, in addition to a normal meal, the presence or absence of the use of a supplement or a dietary supplement may be added to an inquiry item.

  For example, intake habits of calcium and magnesium supplements and dietary supplements may have a positive effect on height development. Or vitamin supplements and dietary supplements may have a positive impact on height development.

  For this reason, it is also suitable for calculating an environmental index with high accuracy to add the presence or absence of supplements and dietary supplements and intake habits (intake amount, intake period, intake timing, etc.) to the inquiry items.

  It is also preferable for the subject to add to the inquiry item that the subject thinks that the situation is special. For example, some relatives are very tall or short. Or if you have a profession that you want to have in the future and you want to be tall.

(Score)
A score F is assigned to each of the inquiry results, and the environmental index value F is calculated based on the total score. Points are given to the inquiry items included in each of the meal mode, sleep mode, exercise mode, and the like described above. Each score changes according to the contents of an answer to an inquiry item. By summing up the different points, the value F of the environmental index is calculated.

  Since the value F of the environmental index is used as a multiplication coefficient in the calculation formula for height prediction, it is preferable that responses that have a positive effect on height growth are considered so as to have a high score. For example, if it is a meal aspect, a score will become high when nutritional balance and regularity are high. Or if it is an exercise | movement aspect, the point of an inquiry item will become high so that the one where the amount of exercises and the frequency | count of exercise are enough may become high.

  In this way, the inquiry items are created so that a high score is given to answers that have a positive impact on height growth. As a result, the calculated value F of the environmental index can exert a function that works positively on the predicted height of the subject in an environmental state that is more favorable for growth.

  The value F of the environmental index may be based on the total score obtained by answering the inquiry items or based on the average score. Which should be used as the basis of the environmental index F may be determined by how to set up the inquiry items.

  (Actual work procedure)

  The actual work procedure will be described with reference to FIG.

  FIG. 3 is a work flowchart of the height prediction method according to the embodiment of the present invention. When the predicted height is calculated using a calculation formula when the height prediction method is executed, a computer program may be used. Some steps in FIG. 3 are automatic operations by a computer program, and some steps are operations for inputting parameters necessary for the computer program.

  First, in step ST1, the current height of the subject is measured. The current height is a value D in the formula for calculating the predicted height.

  Next, in step ST2, the average height is divided by the age of X years that require the predicted height and the number of days in the current age to calculate the growth rate C per day. This can also be calculated by a computer program by entering the current age (including date) of the subject, the age of X years, and the average height.

  Next, in step ST3, an inquiry item is answered. The answer is in the form of a questionnaire or an interview, and the answer of the subject is obtained for each of the interview items. This answer may also be input by the subject directly following the instructions of the computer program.

  Next, in step ST4, an environmental index value F is calculated. The environmental index value F is calculated based on the score of the inquiry item answered in step ST3. The environmental index value F may be automatically calculated by a computer program. That is, steps ST1 to ST4 may be input according to an instruction screen displayed by the computer program, and each value may be calculated sequentially according to the input. By this procedure, all of the values C, D, and F necessary for the calculation formula are calculated.

  Finally, in step ST5, all values C, D, and F are introduced into the calculation formula. With this introduction, the predicted height of the subject at the age of X is calculated. Of course, this calculation formula may also be executed by a computer program to calculate the predicted height.

  Through the above procedure, finally, the predicted height of the subject at the age of X is calculated. This predicted height considers the external environment that affects the growth of the height as an environmental index, and has a higher accuracy than the conventional technology. As a result, future height, an important index for future occupations, careers, etc., can be predicted at an early stage.

(Weight prediction method)
The weight prediction method can predict the weight of the subject at the age of X in the same manner as the height prediction method described above. As in the case of height, it is preferable that the weight at the time of X years in the future can be predicted in order to assume the carrier and future health condition of the subject. As in the case of height, the future weight prediction in the prior art does not consider the external environment.

  The weight predicting method in the embodiment predicts the weight of the subject at the time of the future X-year by the same method as the height predicting method.

The weight prediction method predicts the future weight of the subject in the following steps.
The average gender weight at the age of X in a given mean weight curve is taken as the value H,
A value obtained by dividing the value H by the value B that is the number of days until the age of X is a value C.
Let the subject's current weight be the value G,
The number of days from the subject's present to the age of X is the value E,
When the environmental index for the subject is F,
Predicted weight of subject at age X = G + (C × G) × F (calculation formula)

  Based on this calculation formula, the weight prediction method predicts the future weight of the subject.

  The value H, which is the gender average weight, is read from the average value of the weight curves included in FIGS. Values C and E are the same as the height prediction method. The current weight value G is obtained by measuring the current weight of the subject.

  The environmental index value F is calculated by the steps described in the height prediction method. For this reason, the inquiry content similar to the inquiry content for calculating the environmental index is used to calculate the environmental index. Various processes in calculating the environmental index are the same as those in the case of the height prediction method.

  The height predicting method and the weight predicting method described in the embodiments are examples for explaining the gist of the present invention, and include modifications and alterations without departing from the gist of the present invention.

ST1 Prediction of current height ST2 Calculation of growth rate C ST3 Question item answer ST4 Environmental index calculation ST5 Introduced in calculation formula

Claims (12)

Gender average height at the age of X in a given average height curve is A,
A value obtained by dividing the value A by a value B that is the number of days until the age of X is a value C.
The current height of the subject is the value D,
The number of days from the subject's present to the age of X is the value E,
When the environmental index for the subject is F,

Predicted height of subject at age X = D + (C × D) × F (calculation formula)

The height prediction method of predicting the height of the subject at the age of X by the above.   The height prediction method according to claim 1, wherein the X years old is 17 years old.   The height prediction method according to claim 1, wherein the target person is a child.   4. The height prediction method according to claim 1, wherein the predetermined average height curve is an average height curve published by the Ministry of Education, Culture, Sports, Science and Technology's Health Guidance Guidelines.   The height prediction method according to claim 1, wherein the environmental index is calculated based on an inquiry result of the subject.   The height prediction method according to claim 5, wherein the inquiry includes at least one of a meal mode, a sleep mode, and an exercise mode of the subject.   The height prediction method according to claim 6, wherein the meal mode includes at least one of the number of meals, meal time, meal content, and mealtime.   The height prediction method according to claim 6, wherein the sleep mode includes at least one of a sleep time, a sleep start time, a sleep end time, and a sleep depth degree.   The height prediction method according to claim 6, wherein the exercise mode includes at least one of exercise time, the number of exercises, an exercise type, an exercise amount, and an exercise day in a certain period.   The height prediction method according to claim 6, wherein the inquiry item further includes a personal aspect of the subject.   The height prediction method according to claim 6, wherein the environmental index is calculated by a total score of each item of the inquiry result. The average gender weight at the age of X in a given mean weight curve is taken as the value H,
A value obtained by dividing the value H by the value B that is the number of days until the age of X is a value C.
Let the subject's current weight be the value G,
The number of days from the subject's present to the age of X is the value E,
When the environmental index for the subject is F,

Predicted weight of subject at age X = G + (C × G) × F (calculation formula)

The body weight prediction method of predicting the body weight of the subject at the age of X.