CN110957037A - Using method of online height management system - Google Patents
Using method of online height management system Download PDFInfo
- Publication number
- CN110957037A CN110957037A CN201911043882.9A CN201911043882A CN110957037A CN 110957037 A CN110957037 A CN 110957037A CN 201911043882 A CN201911043882 A CN 201911043882A CN 110957037 A CN110957037 A CN 110957037A
- Authority
- CN
- China
- Prior art keywords
- height
- age
- submodule
- bone
- calculating
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 20
- 238000013461 design Methods 0.000 claims abstract description 12
- 238000001514 detection method Methods 0.000 claims abstract description 10
- 210000000988 bone and bone Anatomy 0.000 claims description 56
- 230000002068 genetic effect Effects 0.000 claims description 15
- 238000005259 measurement Methods 0.000 claims description 6
- 229930003316 Vitamin D Natural products 0.000 claims description 2
- QYSXJUFSXHHAJI-XFEUOLMDSA-N Vitamin D3 Natural products C1(/[C@@H]2CC[C@@H]([C@]2(CCC1)C)[C@H](C)CCCC(C)C)=C/C=C1\C[C@@H](O)CCC1=C QYSXJUFSXHHAJI-XFEUOLMDSA-N 0.000 claims description 2
- 230000037182 bone density Effects 0.000 claims description 2
- 235000019166 vitamin D Nutrition 0.000 claims description 2
- 239000011710 vitamin D Substances 0.000 claims description 2
- 150000003710 vitamin D derivatives Chemical class 0.000 claims description 2
- 229940046008 vitamin d Drugs 0.000 claims description 2
- 238000007726 management method Methods 0.000 description 23
- 238000011161 development Methods 0.000 description 7
- 230000037396 body weight Effects 0.000 description 4
- 230000000384 rearing effect Effects 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000037237 body shape Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 210000000236 metacarpal bone Anatomy 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 230000002028 premature Effects 0.000 description 1
- 230000037303 wrinkles Effects 0.000 description 1
- 210000000707 wrist Anatomy 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
Landscapes
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- Biomedical Technology (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Pathology (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The invention provides a using method of an online height management system, which comprises the following steps: and obtaining a growth design according to the basic information and/or the detection information, and performing height management according to the growth design. The novel concept of expected height is provided, and scientific height management is performed on children around the expected height. The online height management system provided by the invention standardizes the height management process, saves the height management time and improves the height management efficiency.
Description
Technical Field
The invention belongs to the field of health, and relates to a use method of an online height management system. The invention aims to provide an online height management system, which standardizes the height management process, saves the height management time and improves the height management efficiency.
Background
In the rapid development process of the Chinese society, the bearing and rearing are increasingly important, the next generation of culture needs parents and the society to pay attention to the whole aspect, and the growth and development are the basis of rearing. According to the WHO organization statistics, the height of children and adolescents in the country is obviously higher than the average level in the world since 2015, but the height of adults is continuously lower than the average level in the world, which means that the situation that the average height is gradually reduced due to the premature development in China generally exists in China. Through data investigation, countries such as Japan and Korean in Asian countries have made great progress in the field of growth and development of children and teenagers, but the height management popularization and promotion strength of China society is not enough and has no standard at present, domestic children health care talents are in short supply, professionals need to spend a large amount of time and energy and parents popularize and communicate relevant professional knowledge, then people are required to carry out relevant detection, such as bone age detection, and finally basic information relevant to height management service is obtained according to a detection result so as to carry out height management. The mode of this kind of height management is originally invertd, wastes time and energy, and efficiency is extremely low. Therefore, it is an important issue for the development of industry and society to provide an effective and efficient height management method.
Disclosure of Invention
The invention aims to provide a using method of the online height management system, which is realized by the following steps:
1. setting a desired height for the child (desired adult height) by a parent, providing basic information (child age, current height, current weight, father height, mother height, gender), and detection information (bone age, bone density, vitamin D detection);
2. the genetic height is calculated using the genetic height calculation submodule 1: the formula (height of father + height of mother-12) ÷ 2 (cm);
3. measuring the current age and height level percentile by using the age and height level percentile measuring and calculating submodule 2 and obtaining a corresponding adult height value;
4. measuring and calculating the adult height value corresponding to the bone age height percentile by using the bone age height percentile measuring and calculating submodule 3;
5. evaluating the current symmetry using a Body Mass Index (BMI) measurement sub-module 4;
6. calculating the difference value between the expected height value A set in the step 1 and the corresponding adult height value D obtained in the step 4;
7. and calculating the growth speed of the bone age height by using a height management scheme submodule 5 according to the numerical value obtained in the steps and obtaining a final individual growth design scheme.
The device used by the online height management system used by the method of the invention obtains the growth design according to the basic information and/or the detection information, and performs height management according to the growth design. The system comprises 5 sub-modules in total: the system comprises a genetic height calculating submodule 1, an age height level percentile measuring and calculating submodule 2, a bone age height percentile measuring and calculating submodule 3, a Body Mass Index (BMI) measuring and calculating submodule 4 and a height management scheme submodule 5.
The functions of each module in the children bone age development system are as follows:
(1) genetic height calculation submodule 1: and calculating the genetic height of the corresponding individual according to the height of the father and the height of the mother by a calculation formula. The formula (height of father + height of mother-12) ÷ 2 (cm). Desired height (cm);
(2) the age and height level percentile measuring and calculating submodule 2: calculating the adult height corresponding to the height level percentile of the current age by contrasting the current age according to an age and height statistical table issued by the country;
(3) bone age and height percentile measuring and calculating submodule 3: introducing an individual metacarpal bone X-ray film into the Chinese wrist bone age standard-China 05 calculates the current development bone age and calculates the adult height corresponding to the height level percentile of the current bone age according to the national issued bone age height statistical table by comparing with the current bone age;
(4) body Mass Index (BMI) measurement sub-module 4: calculating the formula body weight index BMI (body weight/height square (international unit kg/square meter)), and obtaining the current symmetry by correspondingly referring to Chinese reference standard;
(5) height management scheme submodule 5:
the calculation steps are as follows:
setting the difference value from the current height to the expected height as A, setting the bone age result as B, and setting the growth speed of the bone age height as C to obtain the growth speed of the bone age height as follows:
(1) female with a view to preventing the formation of wrinkles
Assuming that the bone age is 9.5 years old, the growth potential is 20cm after puberty, and A-20 cm needs to be increased before;
the remaining age of bone 9.5-B is old;
the growth rate of the target bone age and height is (A-20) ÷ (9.5-B) ═ C cm/year of age.
(2) Male sex
Assuming that the growth potential of the bone aged 12 years after puberty is 20cm, A-20 cm needs to be increased before;
remaining age of bone 12-B-year old;
the growth rate of the target bone age and height is (A-20) ÷ (12-B) ═ C cm/year of age.
Finding C is the growth rate of bone age height that children are required to target in recent years.
According to the method provided by the invention, a growth design is obtained according to the basic information and/or the detection information, and the height management is carried out according to the growth design. The novel concept of expected height is provided, and scientific height management is performed on children around the expected height. The online height management system provided by the invention standardizes the height management process, saves the height management time and improves the height management efficiency.
Drawings
FIG. 1 is a schematic diagram of the present invention.
Detailed Description
The invention is further explained by the accompanying drawings and examples.
Example 1
1. Suppose a female child of 4 years old
Genetic height: (height of father + height of mother-12) ÷ 2 (cm). The expected height is: (cm).
Height level percentile and weight level percentile of current age
The height of the current bone age is in the horizontal percentile, the height of the corresponding adult is cm, and the distance between the height of the corresponding adult and the height of the corresponding expected height is cm.
The difference between the current height and the expected height is A cm;
assuming that the bone age is 9.5 years old, the growth potential is 20cm after puberty, and A-20 cm needs to be increased before;
the remaining age of bone 9.5-B is old;
the growth rate of the target bone age and height is (A-20) ÷ (9.5-B) ═ C cm/year of age.
2. Method parts table 1 is implemented one year in the future.
TABLE 1
Example 2
1. Basic situation
The name of the child: small pavilion
The expected height is: 175cm
Adult height corresponding to current bone age: 151cm
Age of children: 3 years old and 2 months old
The height now is as follows: 85cm
Height of father: 170cm
The height of the mother: 150cm
Age of bone: age 3.2 years old
Sex: for male
The year and month of birth: 2016 (5 months) and 11 days
2. The growth design is as follows:
genetic height: (170+150+12) ÷ 2 ═ 166cm, P10-25, expected height: 175cm, genetic height 9cm from the expected height, which is difficult to achieve.
The height level of the current age is less than P3, the weight level is less than P3, and the current age is a slim body type; the height level of the current bone age is less than P3, corresponding to the adult height of 151cm, the difference is 24cm from the expected height, and the realization is extremely difficult.
The difference between the current height and the expected height is 175-85 cm-90 cm
Assuming a growth potential of 23cm after 11.5 years old and entering puberty, it is necessary to increase 90-23 to 67cm before
The remaining age of bone is 11.5-3.2-8.3 years old
Growth rate of target bone age and height 67 ÷ 8.3 ÷ 8.1 cm/year of age
3. The implementation method in the next year is shown in table 2.
TABLE 2
Height increase cm | Bone-aged growing year | Growth speed cm/year of bone age and height |
5 | 0.6 | 8.3 |
6 | 0.7 | 8.6 |
7 | 0.8 | 8.8 |
Example 3
1. Basic situation
The name of the child: small container
The expected height is: 185cm
Adult height corresponding to current bone age: 173cm
Age of children: 9 months old 3 years old
The height now is as follows: 101.3cm
Body weight now: 14.4kg
Height of father: 182cm
The height of the mother: 160cm
Age of bone: age 2.5 years old
Sex: for male
The year and month of birth: 10 and 24 days in 2015.
2. The growth design is as follows:
genetic height: (182+160+12) ÷ 2 ═ 177cm, P75, expected height: 185cm, the genetic height is 8cm away from the expected height, which is difficult to realize.
Height level P50-75, weight level P10-25, slim body type at present age; the height level P50-75 of the current bone age corresponds to the height of an adult 173cm, and the difference between the height level and the height of the adult is 12cm from the expected height, which is extremely difficult to realize.
The difference between the current height and the expected height is 185-101.3-83.7 cm
The remaining age of bone is 11.5-2.5 ═ 9 years old
The growth rate of the target bone age, height and age is 60.7 ÷ 9 ═ 6.7 cm/year of age
3. Method parts table 3 is implemented one year in the future.
TABLE 3
Height increase cm | Bone-aged growing year | Growth speed cm/year of bone age and height |
5 | 0.7 | 7.1 |
6 | 0.8 | 7.5 |
7 | 1 | 7 |
Example 4
1. Basic situation
The name of the child: gender in the family of women
The expected height is: 165cm
Birthday of children: 8/10/2012
Age of children: 7 years old
Body weight now: 29.2kg current height: 121cm
Height of father: 166cm mother height: 159cm
Age of bone: and 7 years old.
2. The growth design is as follows:
genetic height: (166+ 159-12) ÷ 2 ═ 156.5 cm.
The current bone age height level P50 corresponds to an adult height of 154cm, an expected height of 160cm, and a distance of 6cm from the expected height is difficult.
The girl has a height P25-50, a weight P90, and a bold body. The difference 160-120 cm from the current height of 120cm to the expected height 160 is 40 cm;
assuming that the bone age is 9.5 years old, the growth potential is 20cm after puberty, and the growth is required to be 40-20 cm before the bone age is 20 cm; the remaining bone age is 9.5-7 ═ 2.5 years old;
the growth rate of the target bone age and height is 20 ÷ 2.5 ÷ 8 cm.
In the future, a 20cm height increase is required with the remaining 2.5 years old bone age.
3. Method parts table 4 is implemented one year in the future.
TABLE 4
Height increase cm | Bone-aged growing year | Growth speed cm/year of bone age and height |
5 | 0.6 | 8.3 |
6 | 0.7 | 8.5 |
7 | 0.8 | 8.8 |
Example 4:
1. basic situation
2. The growth design is as follows:
genetic height: (172+158-12) ÷ 2 ═ 159cm, height level P10-25, weight level P50-75, robust body shape at the current age; the height level P3-10 of the current bone age corresponds to the height of an adult of 149cm, and the difference between the height level and the height of an expected adult is 11cm, which is extremely difficult to realize.
The difference between the current height and the expected height is 160-92.7-67.3 cm, the remaining bone age is 9.5-3.4-6.1 years, and the growth rate of the target bone age is 647.3 ÷ 6.1-7.8 cm/year.
3. The implementation method in the next year is shown in table 5.
TABLE 5
Height increase cm | Bone-aged growing year | Growth speed cm/year of bone age and height |
5 | 0.6 | 8.3 |
6 | 0.7 | 8.6 |
7 | 0.8 | 8.8 |
Claims (3)
1. A use method of an online height management system is characterized by comprising the following steps:
(a) setting a desired height for the child by a parent, providing basic information, and detecting the information;
(b) calculating the genetic height by using a genetic height calculation submodule (1): the formula (height of father + height of mother-12) ÷ 2 (cm);
(c) measuring the current age height level percentile by using the age height level percentile measuring and calculating submodule (2) and obtaining a corresponding adult height value;
(d) measuring and calculating the adult height value corresponding to the bone age height percentile by using the bone age height percentile measuring and calculating submodule (3);
(e) evaluating the current symmetry using a Body Mass Index (BMI) measurement sub-module (4);
(f) calculating the difference between the expected height value A set in the step (1) and the corresponding adult height value D obtained in the step (D);
(g) and (3) calculating the growth speed of the bone age height by using a height management scheme submodule (5) according to the numerical value obtained in the steps and obtaining a final individual growth design scheme.
2. The method of using an online height management system of claim 1, wherein step (a) the desired height is a desired adult height; the basic information comprises the age of the child, the current height, the current weight, the height of the father, the height of the mother and the sex; the detection information is bone age, bone density and vitamin D detection.
3. The use method of the online height management system according to claim 1, wherein the device used in the method comprises a genetic height calculation submodule (1), an age height level percentile measurement submodule (2), a bone age height percentile measurement submodule (3), a body mass index measurement submodule (4) and a height management scheme submodule (5).
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201911043882.9A CN110957037A (en) | 2019-10-30 | 2019-10-30 | Using method of online height management system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201911043882.9A CN110957037A (en) | 2019-10-30 | 2019-10-30 | Using method of online height management system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN110957037A true CN110957037A (en) | 2020-04-03 |
Family
ID=69975865
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201911043882.9A Pending CN110957037A (en) | 2019-10-30 | 2019-10-30 | Using method of online height management system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110957037A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112365983A (en) * | 2020-12-04 | 2021-02-12 | 石家庄喜高科技有限责任公司 | Height development evaluation method and terminal equipment |
CN112397202A (en) * | 2020-10-20 | 2021-02-23 | 浙江工业大学 | Method for predicting height growth curve of teenager children |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107595248A (en) * | 2017-08-31 | 2018-01-19 | 郭淳 | A kind of method and system for detecting and evaluating upgrowth and development of children situation |
CN108836338A (en) * | 2018-04-04 | 2018-11-20 | 浙江康体汇科技有限公司 | A kind of calculating of online stone age and prediction of height method based on web database |
CN109994172A (en) * | 2019-03-06 | 2019-07-09 | 杭州津禾生物科技有限公司 | Stone age digitizes measuring and calculating and height data base management system online |
CN110215211A (en) * | 2019-06-14 | 2019-09-10 | 成都高鹿科技有限公司 | Individual height measurement and analysis method, system, readable storage medium storing program for executing and terminal |
-
2019
- 2019-10-30 CN CN201911043882.9A patent/CN110957037A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107595248A (en) * | 2017-08-31 | 2018-01-19 | 郭淳 | A kind of method and system for detecting and evaluating upgrowth and development of children situation |
CN108836338A (en) * | 2018-04-04 | 2018-11-20 | 浙江康体汇科技有限公司 | A kind of calculating of online stone age and prediction of height method based on web database |
CN109994172A (en) * | 2019-03-06 | 2019-07-09 | 杭州津禾生物科技有限公司 | Stone age digitizes measuring and calculating and height data base management system online |
CN110215211A (en) * | 2019-06-14 | 2019-09-10 | 成都高鹿科技有限公司 | Individual height measurement and analysis method, system, readable storage medium storing program for executing and terminal |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112397202A (en) * | 2020-10-20 | 2021-02-23 | 浙江工业大学 | Method for predicting height growth curve of teenager children |
CN112397202B (en) * | 2020-10-20 | 2024-03-29 | 浙江工业大学 | Prediction method for height growth curve of teenager and child |
CN112365983A (en) * | 2020-12-04 | 2021-02-12 | 石家庄喜高科技有限责任公司 | Height development evaluation method and terminal equipment |
CN112365983B (en) * | 2020-12-04 | 2023-10-13 | 石家庄喜高科技有限责任公司 | Height development evaluation method and terminal equipment |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Shields et al. | Adult obesity prevalence in Canada and the United States | |
Bralić et al. | Association of early menarche age and overweight/obesity | |
CN110957037A (en) | Using method of online height management system | |
He et al. | The costs and their determinant of cesarean section and vaginal delivery: an exploratory study in Chongqing Municipality, China | |
Galloway et al. | Emerging obesity among preschool-aged Canadian Inuit children: results from the Nunavut Inuit Child Health Survey | |
Nichols et al. | Vitamin D status and associated factors of deficiency among Jordanian children of preschool age | |
CN105205761A (en) | Information pushing method for vaccination and physical examination management | |
CN107169264A (en) | A kind of complex disease diagnostic method and system | |
Nascimento et al. | Tri-ponderal mass index: a screening tool for risk of central fat accumulation in Brazilian preschool children | |
Wei et al. | Obstacle indicators diagnosis and advantage functions zoning optimization based on “production-living-ecological” functions of national territory space in jilin province | |
Su et al. | The age distribution among children seeking medical treatment for precocious puberty in Taiwan | |
Wu et al. | Interleukin-3 polymorphism is associated with miscarriage of fresh in vitro fertilization cycles | |
Jiang et al. | The effects of preconception examinations on birth defects: a population-based cohort study in Dongguan City, China | |
Gallego-Valle et al. | Ectopic FOXP3 expression in combination with TGF-β1 and IL-2 stimulation generates limited suppressive function in human primary activated thymocytes ex vivo | |
Kay et al. | Development and application of a total diet quality index for toddlers | |
Zhang et al. | Basin-scale pollution loads analyzed based on coupled empirical models and numerical models | |
Wright | Growth charts for babies | |
Peng et al. | Double burden of malnutrition in urbanized settled Tibetan communities on the Tibetan plateau | |
Yasmeen et al. | Individual variabilities in adipose stem cell proliferation, gene expression and responses to lipopolysaccharide stimulation | |
Rachmawati et al. | The correlation between mother's knowledge about complementary feeding with the incidence of stunting in toddlers under two in Mayang, Jember | |
Tlili et al. | Tunisian women's perceptions of desirable body size and chronic disease risk | |
Anirudh et al. | TNFα rescues dendritic cell development in hematopoietic stem and progenitor cells lacking C/EBPα | |
Yi et al. | Relationship between sleep duration trajectories and self-rated depressive symptoms in South Koreans with physical disabilities | |
Kincaid et al. | P296 Do GBMSM’s preferences for in-person, telephone or digital sexual healthcare vary according to health concerns and symptoms? A cross-sectional survey | |
Sasaki et al. | Analysis of sweet snack eating habits and lifestyle using a health check for toddlers |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
TA01 | Transfer of patent application right | ||
TA01 | Transfer of patent application right |
Effective date of registration: 20201225 Address after: Room 3a01, building 3, No. 371, Mingxing Road, economic and Technological Development Zone, Xiaoshan District, Hangzhou City, Zhejiang Province Applicant after: ZHEJIANG KANGTIHUI TECHNOLOGY Co.,Ltd. Address before: 310000 room 2309, building 1, Euro American Financial City, Cangqian street, Yuhang District, Hangzhou City, Zhejiang Province Applicant before: Hangzhou Jinhe Biotechnology Co.,Ltd. |
|
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200403 |