Method and equipment for evaluating aging based on biological age

Abstract

The invention discloses a method and equipment for evaluating aging based on biological age, and the method comprises the steps: collecting the gender, age and anthropometric indexes of a testee, and carrying out the standardization processing of the anthropometric indexes, and obtaining the anthropometric data; constructing principal component characteristics of the four body types, and performing principal component analysis on the standardized anthropometry data to obtain principal component scores of the four body types; calculating the age of the testee according to the gender of the testee and the corresponding principal component scores of the four body types; adding the aging age and the actual age to obtain the biological age PCAge of the testee; and evaluating the aging degree of the testee according to the biological age PCAge and the actual age age. According to the method and the equipment, main components of the body type are all from anthropometry indexes, non-invasive measurement is carried out by means of simple tools, the obtaining way is simple, no additional economic burden is added, and the established biological age PCAge can reflect the aging degree of a patient and judge whether aging acceleration exists or not.

Description

Technical Field

[0001] The present invention belongs to the field of clinical practice technology in the medical field, and specifically relates to a method and device for evaluating aging based on biological age, and predicting survival outcomes by evaluating aging. Background Art

[0003] Methods that have been developed and widely used to assess biological age and accelerated aging include epigenetic clocks, leukocyte telomere length (TL), and metabolic biomarkers. These indicators provide valuable insights into individuals. However, these methods have significant limitations. For example, epigenetic clocks rely heavily on a large amount of blood biochemical data, which makes them expensive to implement and not all regions can afford such assessments. In contrast, anthropometric data such as height, weight, and waist circumference (WC) are easily available. If they are validated as aging markers, they can significantly reduce the economic burden on hospitals and patients. However, a single anthropometric indicator usually only represents one aspect of complex physical characteristics and provides limited information, making it difficult to fully capture an individual's health status. By combining various anthropometric measures to reflect body shape, a more comprehensive assessment of overall health and aging can be achieved. Previous studies have also shown that body shape is closely related to metabolic health and disease risk. Principal component analysis, as a novel machine learning method that can define multiple traits as new composite phenotypes, has been demonstrated and applied in anthropometric and body shape.

[0004] Currently, the assessment of aging relies heavily on biochemical tests, which are not only complex but also expensive. Summary of the invention

[0005] In order to solve the above-mentioned technical problems existing in the prior art, the present invention provides a method and device for assessing aging based on biological age. The parameters used are all derived from anthropometric indicators, which are easy to obtain and do not impose additional economic burden. The method and device can effectively assess the degree of aging of the test subject.

[0006] The specific scheme adopted is as follows:

[0007] In one aspect, the present invention provides a method for assessing aging based on biological age, comprising the following steps:

[0008] Gender, age and anthropometric indicators of the testers are collected, and anthropometric data are obtained after the anthropometric indicators are standardized;

[0009] The principal component characteristics of the four body types were constructed, and the standardized anthropometric data were subjected to principal component analysis to obtain the principal component scores of the four body types.

[0010] Combine the tester's gender and the corresponding four body shape principal component scores to calculate the tester's aging age △age;

[0011] Add the aging age △age to the actual age age to get the tester's biological age PCAge;

[0012] The aging degree of the test subject is assessed based on the biological age PCAge and the actual age age.

[0013] Preferably, the collected anthropometric indices include: height, weight, waist circumference, upper arm circumference, thigh circumference, calf circumference, triceps skinfold thickness and subscapular skinfold thickness.

[0014] Preferably, the method for standardizing anthropometric indicators is: subtracting the mean from the anthropometric data and dividing the result by the standard deviation to obtain the standardized anthropometric data.

[0015] Furthermore, the calculation method of each standardized anthropometric data is as follows:

[0016] height_z = (height - 168.0296) / 10.10057;

[0017] weight_z=(weight-74.55884) / 15.95705;

[0018] WC_z = (waist circumference - 92.49339) / 13.27777;

[0019] MAC_z = (upper arm circumference - 31.32318) / 4.088715;

[0020] THC_z = (thigh circumference - 51.43524) / 5.983653;

[0021] CAC_z = (calf circumference - 37.39853) / 3.721842;

[0022] TSF_z = (triceps skinfold thickness - 17.71431) / 8.045224;

[0023] SSF_z = (subscapular skinfold thickness - 19.28909) / 7.58855.

[0024] Further preferably, the four main component features of body shape constructed are:

[0025] PC1 body shape principal component characteristics are a body shape with large limb dimensions and less subcutaneous fat;

[0026] The PC2 body shape principal component characteristic is a body shape with short stature and thick subcutaneous fat;

[0027] PC3 body shape principal component characteristics are a body shape with short height and large waist circumference;

[0028] The PC4 body shape principal component is characterized by a tall stature with less waist circumference and subcutaneous fat.

[0029] Preferably, the standardized anthropometric data are subjected to principal component analysis to obtain four body shape principal component scores, the specific calculation method of which is:

[0030] PC1=-0.19803060*height_z+0.20425850*MAC_z+0.04284374*TSF_z-0.43948564*SSF _z+0.61312262*THC_z+0.54236740*CAC_z+0.05836034*Weight_z-0.23385620*WC_z;

[0031] PC2=0.32870777*height_z - 0.20454178*MAC_z +0.76803125*TSF_z+0.71945245*SSF_z-0.05348850*THC_z -0.11950818*CAC_z-0.07587964*Weight_z-0.25950829*WC_z;

[0032] PC3=-0.2535978*height_z+0.2834824*MAC_z-0.4075045*TSF_z+0.1916974*SSF _z-0.3413504*THC_z-0.2230009*CAC_z+0.2670468*Weight_z+0.8531960*WC_z;

[0033] PC4=1.11158366*height_z-0.18532514*MAC_z+0.09884133*TSF_z+0.36739688*SSF _z-0.14821777*THC_z-0.11394623*CAC_z+0.15023216*Weight_z-0.26576748*WC_z.

[0034] Further preferably, the aging age △age of the tester is calculated by combining the tester's gender and the corresponding four body shape principal component scores. The specific algorithm is:

[0035] For female testers, the calculation method of aging age △age is:

[0036] Δage=log(exp(0.0896*age-0.1378*PC1-

[0037] 0.2752*PC2+0.256*PC3+0.0345*PC4) / exp(0.1*age)) / 0.1;

[0038] For male testers, the calculation method of aging age △age is:

[0039] Δage=log(exp(0.08*age-0.3095*PC1-

[0040] 0.101*PC2+0.1693*PC3+0.0119*PC4) / exp(0.0899*age)) / 0.0899.

[0041] Furthermore, if the biological age PCAge is greater than the actual age age, the assessment test subject is in an accelerated aging state. If the difference between the biological age PCAge and the actual age age is greater, the assessment test subject is aging faster.

[0042] On the other hand, the present invention also provides a device for evaluating aging based on biological age, which is a mobile terminal, wherein the mobile terminal is embedded with a data acquisition module, a standardization processing module, four body shape principal component calculation modules, an aging age calculation module, a biological age calculation module and an aging degree assessment module; the data acquisition module is used to collect the gender, age and anthropometric indicators of the tester; the standardization processing module is used to obtain anthropometric data after standardization of the anthropometric indicators; the four body shape principal component calculation modules are used to perform principal component analysis on the standardized anthropometric data to obtain four body shape principal component scores; the aging age calculation module calculates the tester's aging age △age based on the tester's gender and the corresponding four body shape principal component scores; the biological age calculation module is used to add the aging age △age to the actual age age to obtain the tester's biological age PCAge; the aging degree assessment module assesses the tester's aging degree based on the biological age PCAge and the actual age age.

[0043] Furthermore, the aging degree assessment module performs a subtraction calculation on the biological age PCAge and the actual age age. If the obtained value is greater than zero, the assessed test subject is in an accelerated aging state. If the obtained difference is larger, the assessed test subject is aging faster.

[0044] Compared with the prior art, the technical solution of the present invention has the following advantages:

[0045] A. The parameters used in the principal components of body shape used in the method and device of the present invention are all derived from anthropometric indicators, and are obtained by non-invasive measurement using simple tools such as calipers, tape measures, and weight scales. The acquisition method is simple and does not add additional economic burden. The established biological age PCAge can reflect the aging degree of the patient and determine whether there is accelerated aging;

[0046] B. The biological age PCAge in the present invention can not only reflect the aging state of the test subject, but also well predict the survival prognosis of the test subject; the biological age PCAge of the test subject can be directly obtained in the web calculator of the mobile terminal, without the need for the test subject to calculate it himself. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the specific embodiments of the present invention, the drawings required for use in the specific embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0048] Figure 1 is a flow chart of the method for assessing aging provided by the present invention;

[0049] Figure 2 It is a visualization diagram of the principal components of body shape used in constructing the biological age PCAge in the present invention;

[0050] Figure 3 It is to compare the relationship between biological age PCAge and other biological ages and survival prognosis;

[0051] Figure 4 The ROC curve compares the predictive ability of biological age PCAge and other biological ages on survival outcomes;

[0052] Figure 5 The present invention constructs a linear correlation between biological age PCAge and other biological ages and leukocyte telomere length.

[0053] Figure 6 The present invention provides a device for evaluating aging based on biological age, which is a mobile terminal. DETAILED DESCRIPTION

[0054] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0055] like Figure 1 As shown, the present invention provides a method for assessing aging based on biological age, comprising the following steps:

[0056]

S01

[0057] The method for standardizing anthropometric indicators is to subtract the mean from the anthropometric data and divide it by the standard deviation to obtain the standardized anthropometric data. The specific algorithm is as follows:

[0058] height_z = (height - 168.0296) / 10.10057;

[0059] weight_z=(weight-74.55884) / 15.95705;

[0060] MAC_z = (upper arm circumference - 31.32318) / 4.088715;

[0061] TSF_z = (triceps skinfold thickness - 17.71431) / 8.045224;

[0062] SSF_z = (subscapular skinfold thickness - 19.28909) / 7.58855;

[0063] THC_z = (thigh circumference - 51.43524) / 5.983653;

[0064] CAC_z = (calf circumference - 37.39853) / 3.721842;

[0065] WC-z=(waist circumference-92.49339) / 13.27777.

[0066]

S02

[0067] PC1=-0.19803060*height_z+0.20425850*MAC_z+0.04284374*TSF_z-0.43948564*SSF _z+0.61312262*THC_z+0.54236740*CAC_z+0.05836034*Weight_z-0.23385620*WC_z;

[0068] PC2=0.32870777*height_z - 0.20454178*MAC_z +0.76803125*TSF_z+0.71945245*SSF_z-0.05348850*THC_z -0.11950818*CAC_z-0.07587964*Weight_z-0.25950829*WC_z;

[0069] PC3=-0.2535978*height_z+0.2834824*MAC_z-0.4075045*TSF_z+0.1916974*SSF _z-0.3413504*THC_z-0.2230009*CAC_z+0.2670468*Weight_z+0.8531960*WC_z;

[0070] PC4=1.11158366*height_z-0.18532514*MAC_z+0.09884133*TSF_z+0.36739688*SSF _z-0.14821777*THC_z-0.11394623*CAC_z+0.15023216*Weight_z-0.26576748*WC_z.

[0071]

S03

[0072] For female testers, the calculation method of aging age △age is:

[0073] Δage=log(exp(0.0896*age-0.1378*PC1-

[0074] 0.2752*PC2+0.256*PC3+0.0345*PC4) / exp(0.1*age)) / 0.1;

[0075] For male testers, the calculation method of aging age △age is:

[0076] Δage=log(exp(0.08*age-0.3095*PC1-

[0077] 0.101*PC2+0.1693*PC3+0.0119*PC4) / exp(0.0899*age)) / 0.0899.

[0078]

S04

[0079]

S05

[0080]

S06

[0081] Figure 3 As shown in the KM curve diagram, the curves of PCAge and PhenoAge, AnthropoAge and PhenoAge are highly overlapped, and the angles of the curves are very close, indicating that compared with other widely used biological ages PhenoAge and AnthropoAge, the accelerated aging judged by PCAge has a similar ability to distinguish survival outcomes. Figure 4 As shown in the figure, biological age PCAge has good survival prediction ability, with an AUC value of 0.906. Compared with other biological ages, it has very close prediction ability.

[0082] From the above results, it can be seen that the present invention can not only reflect the aging status of the test subject, but also reflect the prognosis of the test subject. PCAge is a composite index that can predict the survival outcome of the test subject, and also reflects the aging status of the body and whether there is accelerated aging.

[0083] The biological age PCAge constructed by the present invention can analyze clinical problems from the perspective of body shape and conduct mining in combination with the body shape characteristics of the population. On the one hand, it can reflect the individual's body shape and muscle fat distribution problems, and on the other hand, it can also reflect the individual's aging degree and survival prediction, providing an easily accessible and practical aging assessment tool for clinical practice.

[0084]

S07

[0085] Figure 5The results showed that PCAge was significantly negatively correlated with leukocyte telomere length, with a correlation coefficient of -0.45 (P<0.001).

[0086] [S08] According to the PCAge algorithm process, the present invention can develop a web calculator, use HTML, CSS and JavaScript to develop the PCAge web calculator, and implement the core algorithm using JavaScript.

[0087] To this end, the present invention also provides a device for evaluating aging based on biological age, which is a mobile terminal, wherein the mobile terminal is embedded with a data acquisition module, a standardization processing module, four body shape principal component calculation modules, an aging age calculation module, a biological age calculation module and an aging degree assessment module; the data acquisition module is used to collect the gender, age and anthropometric indicators of the tester, and the standardization processing module is used to obtain anthropometric data after standardization of the anthropometric indicators; the four body shape principal component calculation modules are used to perform principal component analysis on the standardized anthropometric data to obtain four body shape principal component scores; the aging age calculation module calculates the tester's aging age △age based on the tester's gender and the corresponding four body shape principal component scores; the biological age calculation module is used to add the aging age △age to the actual age age to obtain the tester's biological age PCAge; the aging degree assessment module assesses the tester's aging degree based on the biological age PCAge and the actual age age, and outputs it for the tester and the subject to view. The aging degree assessment module subtracts the biological age PCAge from the actual age age. If the resulting value is greater than zero, the test subject is assessed to be in an accelerated aging state. The larger the difference, the faster the aging speed of the test subject.

[0088] The matters not described in the present invention are applicable to the prior art.

[0089] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. However, the obvious changes or modifications derived therefrom are still within the scope of protection of the present invention.

Claims

1. A method for assessing aging based on biological age, characterized in that: The steps include: Gender, age and anthropometric indicators of the testers are collected, and anthropometric data are obtained after the anthropometric indicators are standardized; The principal component characteristics of the four body types were constructed, and the standardized anthropometric data were subjected to principal component analysis to obtain the principal component scores of the four body types. Combine the tester's gender and the corresponding four body shape principal component scores to calculate the tester's aging age △age; Add the aging age △age to the actual age age to get the tester's biological age PCAge; The aging degree of the test subject is assessed based on the biological age PCAge and the actual age age.

2. The method for assessing aging based on biological age according to claim 1, characterized in that: Anthropometric measures collected included: height, weight, waist circumference, upper arm circumference, thigh circumference, calf circumference, triceps skinfold thickness, and subscapular skinfold thickness.

3. The method for assessing aging based on biological age according to claim 2, characterized in that: The method for standardizing anthropometric indicators is: subtract the mean from the anthropometric data and divide it by the standard deviation to obtain the standardized anthropometric data.

4. The method for assessing aging based on biological age according to claim 3, characterized in that: The calculation method of each standardized anthropometric data is as follows: height_z = (height - 168.0296) / 10.10057; weight_z=(weight-74.55884) / 15.95705; WC_z = (waist circumference - 92.49339) / 13.27777; MAC_z = (upper arm circumference - 31.32318) / 4.088715; THC_z = (thigh circumference - 51.43524) / 5.983653; CAC_z = (calf circumference - 37.39853) / 3.721842; TSF_z = (triceps skinfold thickness - 17.71431) / 8.045224; SSF_z = (subscapular skinfold thickness - 19.28909) / 7.58855.

5. The method for assessing aging based on biological age according to claim 4, characterized in that: The four main component features of body shape constructed are: PC1 body shape principal component characteristics are a body shape with large limb dimensions and less subcutaneous fat; The PC2 body shape principal component characteristic is a body shape with short stature and thick subcutaneous fat; PC3 body shape principal component characteristics are a body shape with short height and large waist circumference; The PC4 body shape principal component is characterized by a tall stature with less waist circumference and subcutaneous fat.

6. The method for assessing aging based on biological age according to claim 5, characterized in that: The standardized anthropometric data were subjected to principal component analysis to obtain four principal component scores of body shape. The specific calculation method is: PC1=-0.19803060*height_z+0.20425850*MAC_z+0.04284374*TSF_z-0.43948564*SSF _z+0.61312262*THC_z+0.54236740*CAC_z+0.05836034*Weight_z-0.23385620*WC_z; PC2=0.32870777*height_z-0.20454178*MAC_z+0.76803125*TSF_z+0.71945245*SSF _z-0.05348850*THC_z-0.11950818*CAC_z-0.07587964*Weight_z-0.25950829*WC_z; PC3=-0.2535978*height_z+0.2834824*MAC_z-0.4075045*TSF_z+0.1916974*SSF _z-0.3413504*THC_z-0.2230009*CAC_z+0.2670468*Weight_z+0.8531960*WC_z; PC4=1.11158366*height_z-0.18532514*MAC_z+0.09884133*TSF_z+0.36739688*SSF _z-0.14821777*THC_z-0.11394623*CAC_z+0.15023216*Weight_z-0.26576748*WC_z.

7. The method for assessing aging based on biological age according to claim 6, characterized in that: Combined with the tester's gender and the corresponding four body shape principal component scores, the tester's aging age △age is calculated. The specific algorithm is: For female testers, the calculation method of aging age △age is: Δage=log(exp(0.0896*age-0.1378*PC1- 0.2752*PC2+0.256*PC3+0.0345*PC4) / exp(0.1*age)) / 0.1; For male testers, the calculation method of aging age △age is: Δage=log(exp(0.08*age-0.3095*PC1- 0.101*PC2+0.1693*PC3+0.0119*PC4) / exp(0.0899*age)) / 0.0899.

8. The method for assessing aging based on biological age according to claim 1, characterized in that: If the biological age PCAge is greater than the actual age age, the test subject is in an accelerated aging state. The greater the difference between the biological age PCAge and the actual age age, the faster the test subject is aging.

9. A device for assessing aging based on biological age, which is a mobile terminal, characterized in that: The mobile terminal is embedded with a data acquisition module, a standardization processing module, four body shape principal component calculation modules, an aging age calculation module, a biological age calculation module and an aging degree assessment module; The data collection module is used to collect the gender, age and anthropometric indicators of the tester; the standardization processing module is used to obtain anthropometric data after standardization of the anthropometric indicators; the four body shape principal component calculation modules are used to perform principal component analysis on the standardized anthropometric data to obtain four body shape principal component scores; The aging age calculation module calculates the tester's aging age △age in combination with the tester's gender and the corresponding four body type principal component scores; the biological age calculation module is used to add the aging age △age to the actual age age to obtain the tester's biological age PCAge; the aging degree assessment module assesses the tester's aging degree based on the biological age PCAge and the actual age age.

10. The device for assessing aging based on biological age according to claim 9, characterized in that: The aging degree assessment module performs subtraction calculation on the biological age PCAge and the actual age age. If the obtained value is greater than zero, the assessed test subject is in an accelerated aging state. The larger the obtained difference, the faster the aging speed of the assessed test subject.

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